diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -1,1731 +1,95 @@
 <?xml version="1.0"?>
-<net name="torch_jit" version="11">
+<net name="Model42" version="11">
 	<layers>
 		<layer id="1" name="input_ids" type="Parameter" version="opset1">
 			<data shape="?,?" element_type="i64" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input_ids" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" names="input_ids">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="0" name="attention_mask" type="Parameter" version="opset1">
-			<data shape="?,?" element_type="i64" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attention_mask" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" names="attention_mask">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2" name="Constant_25035_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="0" size="1536" />
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-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3" name="Constant_25035" type="Convert" version="opset1">
-			<data destination_type="f32" />
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-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.output.dense.bias" />
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-					<dim>1</dim>
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-		<layer id="6" name="Constant_25031_compressed" type="Const" version="opset1">
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-		<layer id="7" name="Constant_25031" type="Convert" version="opset1">
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-					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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-				</port>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
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-		<layer id="13" name="Constant_25023" type="Convert" version="opset1">
-			<data destination_type="f32" />
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-				<attribute name="decompression" version="0" />
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+		<layer id="4" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>250002</dim>
-					<dim>768</dim>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="roberta.embeddings.word_embeddings.weight">
-					<dim>250002</dim>
-					<dim>768</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="Constant_281" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384132096" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_281" />
-			</rt_info>
+		<layer id="5" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="101" name="/roberta/embeddings/word_embeddings/Gather" type="Gather" version="opset8">
+		<layer id="6" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/word_embeddings/Gather" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>250002</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/roberta/embeddings/word_embeddings/Gather_output_0">
+				<port id="3" precision="FP32" names="61,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="roberta.embeddings.token_type_embeddings.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 768" offset="384132104" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.embeddings.token_type_embeddings.weight" />
-			</rt_info>
+		<layer id="7" name="self.roberta.embeddings.token_type_embeddings.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 768" offset="384003076" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1733,11 +97,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="roberta.embeddings.token_type_embeddings.weight" type="Convert" version="opset1">
+		<layer id="8" name="self.roberta.embeddings.token_type_embeddings.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.embeddings.token_type_embeddings.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1746,28 +109,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="roberta.embeddings.token_type_embeddings.weight">
+				<port id="1" precision="FP32" names="self.roberta.embeddings.token_type_embeddings.weight">
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1, 514" offset="384133640" size="4112" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_7" />
-			</rt_info>
+		<layer id="9" name="__module.roberta/aten::slice/Slice" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 514" offset="384004612" size="4112" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Slice_212">
+				<port id="0" precision="I64" names="37">
 					<dim>1</dim>
 					<dim>514</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_24206" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="384137752" size="16" />
+		<layer id="10" name="Constant_146075" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="384008724" size="16" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -1775,10 +135,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="Constant_24207" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="384137752" size="16" />
+		<layer id="11" name="Constant_146076" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="384008724" size="16" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -1786,10 +146,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Constant_24203" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137768" size="8" />
+		<layer id="12" name="Constant_146072" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="384008740" size="8" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -1797,11 +157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="/roberta/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="13" name="__module.roberta/aten::size/ShapeOf_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Concat, /roberta/Shape, /roberta/Shape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
@@ -1809,55 +166,66 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/roberta/Concat_output_0,/roberta/Shape_1_output_0,/roberta/Shape_output_0">
+				<port id="1" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Constant_22663" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137768" size="8" />
+		<layer id="14" name="29" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="384008740" size="8" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Constant_2, /roberta/Gather_1, /roberta/Unsqueeze, Constant_211, Constant_215" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="29" />
 			</output>
 		</layer>
-		<layer id="110" name="Constant_211" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384132096" size="8" />
+		<layer id="15" name="__module.roberta/aten::size/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_211" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="111" name="/roberta/Gather_1" type="Gather" version="opset8">
+		<layer id="16" name="__module.roberta/aten::size/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Constant_2, /roberta/Gather_1, /roberta/Unsqueeze, Constant_211, Constant_215" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="36" />
+			</output>
+		</layer>
+		<layer id="17" name="__module.roberta/aten::slice/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="18" name="__module.roberta/aten::slice/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/roberta/Unsqueeze_output_0">
+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="Constant_24202" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="384137776" size="4" />
+		<layer id="19" name="Constant_146071" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384003072" size="4" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I32">
@@ -1865,10 +233,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="ScatterUpdate_24208" type="ScatterUpdate" version="opset3">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
-			</rt_info>
+		<layer id="20" name="ScatterUpdate_146077" type="ScatterUpdate" version="opset3">
 			<input>
 				<port id="0" precision="I64">
 					<dim>2</dim>
@@ -1889,10 +254,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="Constant_24211" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="384137780" size="16" />
+		<layer id="21" name="Constant_146080" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="384008748" size="16" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -1900,11 +265,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="/roberta/Slice" type="StridedSlice" version="opset1">
+		<layer id="22" name="__module.roberta/aten::slice/Slice_1" type="StridedSlice" version="opset1">
 			<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Slice, Constant_7" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -1921,16 +283,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="/roberta/Slice_output_0">
+				<port id="4" precision="I64" names="38,buffered_token_type_ids">
 					<dim>1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="Constant_5933" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
+		<layer id="23" name="Constant_145297" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="384008764" size="8" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Reshape" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -1938,11 +300,17 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="/roberta/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="24" name="__module.roberta/aten::size/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Reshape" />
+				<attribute name="precise" version="0" />
 			</rt_info>
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="25" name="__module.roberta/aten::size/Gather_1" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>2</dim>
@@ -1950,81 +318,69 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/roberta/Reshape_output_0">
-					<dim>2</dim>
+				<port id="3" precision="I64" names="35">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="/roberta/Mul" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="384137804" size="16" />
+		<layer id="26" name="Constant_149299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="384008772" size="8" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/ConstantOfShape, /roberta/Constant_7, /roberta/Mul, /roberta/Shape_2, Constant_237" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/roberta/Mul_output_0">
-					<dim>2</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="/roberta/Equal" type="Equal" version="opset1">
-			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/ConstantOfShape, /roberta/Constant_7, /roberta/Equal, /roberta/Mul, /roberta/Shape_2, Constant_237" />
-			</rt_info>
+		<layer id="27" name="__module.roberta/prim::ListConstruct/Reshape_0" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="BOOL" names="/roberta/Equal_output_0">
-					<dim>2</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="/roberta/ConstantOfShape" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="384137780" size="16" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/ConstantOfShape, /roberta/Shape_2, Constant_237" />
-			</rt_info>
+		<layer id="28" name="__module.roberta/prim::ListConstruct/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/roberta/ConstantOfShape_output_0">
+				<port id="2" precision="I64" names="39">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="/roberta/Where" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/ConstantOfShape, /roberta/Shape_2, /roberta/Where, Constant_237" />
-			</rt_info>
+		<layer id="29" name="__module.roberta/aten::expand/Abs" type="Abs" version="opset1">
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>2</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/roberta/Where_output_0">
+				<port id="1" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="/roberta/Expand" type="Broadcast" version="opset3">
+		<layer id="30" name="__module.roberta/aten::expand/Broadcast" type="Broadcast" version="opset3">
 			<data mode="bidirectional" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Expand" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -2035,50 +391,56 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/roberta/Expand_output_0">
+				<port id="2" precision="I64" names="40">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="Constant_283" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384132096" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_283" />
-			</rt_info>
+		<layer id="31" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
+			<output>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="124" name="/roberta/embeddings/token_type_embeddings/Gather" type="Gather" version="opset8">
+		<layer id="33" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/token_type_embeddings/Gather" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/roberta/embeddings/token_type_embeddings/Gather_output_0">
+				<port id="3" precision="FP32" names="63,token_type_embeddings.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="/roberta/embeddings/Add_1" type="Add" version="opset1">
+		<layer id="34" name="__module.roberta.embeddings/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2092,18 +454,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/embeddings/Add_1_output_0">
+				<port id="2" precision="FP32" names="64_1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="roberta.embeddings.position_embeddings.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="514, 768" offset="384137820" size="789504" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.embeddings.position_embeddings.weight" />
-			</rt_info>
+		<layer id="35" name="self.roberta.embeddings.position_embeddings.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="514, 768" offset="384008780" size="789504" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>514</dim>
@@ -2111,11 +470,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="roberta.embeddings.position_embeddings.weight" type="Convert" version="opset1">
+		<layer id="36" name="self.roberta.embeddings.position_embeddings.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.embeddings.position_embeddings.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2124,17 +482,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="roberta.embeddings.position_embeddings.weight">
+				<port id="1" precision="FP32" names="self.roberta.embeddings.position_embeddings.weight">
 					<dim>514</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="Constant_24900" type="Const" version="opset1">
-			<data element_type="i64" shape="1, 1" offset="384137768" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Constant" />
-			</rt_info>
+		<layer id="37" name="Constant_146584" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 1" offset="384008740" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -2142,11 +497,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="/roberta/embeddings/Equal" type="Equal" version="opset1">
+		<layer id="38" name="__module.roberta.embeddings/aten::ne/NotEqual" type="NotEqual" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Equal" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
@@ -2158,80 +510,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="BOOL" names="/roberta/embeddings/Equal_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="130" name="/roberta/embeddings/Not" type="LogicalNot" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Not" />
-			</rt_info>
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="BOOL" names="/roberta/embeddings/Not_output_0">
+				<port id="2" precision="BOOL" names="52">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="/roberta/embeddings/Cast" type="Convert" version="opset1">
+		<layer id="39" name="__module.roberta.embeddings/aten::to/Convert" type="Convert" version="opset1">
 			<data destination_type="i32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Cast" />
-			</rt_info>
 			<input>
 				<port id="0" precision="BOOL">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I32" names="/roberta/embeddings/Cast_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="132" name="/roberta/embeddings/Constant_1" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="384927324" size="4" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Constant_1" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I32" names="/roberta/embeddings/Constant_1_output_0" />
+				<port id="1" precision="I32" names="53,mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="133" name="/roberta/embeddings/CumSum" type="CumSum" version="opset3">
+		<layer id="40" name="__module.roberta.embeddings/aten::cumsum/CumSum" type="CumSum" version="opset3">
 			<data exclusive="false" reverse="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/CumSum" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32" />
+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I32" names="/roberta/embeddings/CumSum_output_0">
+				<port id="2" precision="I32" names="54,55,56">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="/roberta/embeddings/Mul" type="Multiply" version="opset1">
+		<layer id="41" name="__module.roberta.embeddings/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I32">
 					<dim>-1</dim>
@@ -2243,17 +560,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I32" names="/roberta/embeddings/Mul_output_0">
+				<port id="2" precision="I32" names="57,incremental_indices">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="/roberta/embeddings/Cast_1" type="Convert" version="opset1">
+		<layer id="42" name="__module.roberta.embeddings/aten::to/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i64" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Cast_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I32">
 					<dim>-1</dim>
@@ -2261,17 +575,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/roberta/embeddings/Cast_1_output_0">
+				<port id="1" precision="I64" names="58">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Constant_24901" type="Const" version="opset1">
-			<data element_type="i64" shape="1, 1" offset="384137768" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Constant_2" />
-			</rt_info>
+		<layer id="43" name="Constant_146585" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 1" offset="384008740" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -2279,11 +590,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="/roberta/embeddings/Add" type="Add" version="opset1">
+		<layer id="44" name="__module.roberta.embeddings/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
@@ -2295,50 +603,56 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/roberta/embeddings/Add_output_0">
+				<port id="2" precision="I64" names="59">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="Constant_286" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384132096" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_286" />
-			</rt_info>
+		<layer id="45" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="384003072" size="4" />
+			<output>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="139" name="/roberta/embeddings/position_embeddings/Gather" type="Gather" version="opset8">
+		<layer id="47" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/position_embeddings/Gather" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>514</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/roberta/embeddings/position_embeddings/Gather_output_0">
+				<port id="3" precision="FP32" names="66,position_embeddings.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="/roberta/embeddings/Add_2" type="Add" version="opset1">
+		<layer id="48" name="__module.roberta.embeddings/aten::add_/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/Add_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2352,52 +666,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/embeddings/Add_2_output_0">
+				<port id="2" precision="FP32" names="64,embeddings.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="Constant_289" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_289" />
-			</rt_info>
+		<layer id="49" name="__module.roberta.embeddings.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="/roberta/embeddings/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="50" name="__module.roberta.embeddings.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/LayerNorm/Add, /roberta/embeddings/LayerNorm/Div, /roberta/embeddings/LayerNorm/Pow, /roberta/embeddings/LayerNorm/ReduceMean, /roberta/embeddings/LayerNorm/ReduceMean_1, /roberta/embeddings/LayerNorm/Sqrt, /roberta/embeddings/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/embeddings/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="Constant_24902_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="384927328" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.embeddings.LayerNorm.weight" />
-			</rt_info>
+		<layer id="51" name="Constant_146586_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="384798288" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2406,11 +711,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="Constant_24902" type="Convert" version="opset1">
+		<layer id="52" name="Constant_146586" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.embeddings.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2427,11 +731,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="/roberta/embeddings/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="53" name="__module.roberta.embeddings.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2445,18 +746,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/embeddings/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_24903_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="384928864" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.embeddings.LayerNorm.bias" />
-			</rt_info>
+		<layer id="54" name="Constant_146587_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="384799824" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2465,11 +763,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="Constant_24903" type="Convert" version="opset1">
+		<layer id="55" name="Constant_146587" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.embeddings.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2486,11 +783,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="/roberta/embeddings/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="56" name="__module.roberta.embeddings.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/embeddings/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2504,18 +798,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/embeddings/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="71,input.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_24384_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="384930400" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/query/MatMul, onnx::MatMul_1556" />
-			</rt_info>
+		<layer id="57" name="self.roberta.encoder.layer.0.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="384801360" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -2523,11 +814,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="Constant_24384" type="Convert" version="opset1">
+		<layer id="58" name="self.roberta.encoder.layer.0.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/query/MatMul, onnx::MatMul_1556" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2536,17 +826,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="/roberta/encoder/layer.0/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="59" name="__module.roberta.encoder.layer.0.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/query/MatMul, onnx::MatMul_1556" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2559,42 +846,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="/roberta/encoder/layer.0/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="60" name="Constant_146588_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="385981008" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="Constant_146588" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="__module.roberta.encoder.layer.0.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="107,x.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="/roberta/encoder/layer.0/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="63" name="__module.roberta.encoder.layer.0.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Concat_2, /roberta/encoder/layer.0/attention/self/Constant_10, /roberta/encoder/layer.0/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -2602,11 +916,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="/roberta/encoder/layer.0/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="64" name="__module.roberta.encoder.layer.0.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2618,7 +929,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="129,x.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -2626,21 +937,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Constant_388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_388" />
-			</rt_info>
+		<layer id="65" name="Constant_139341" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="130">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="/roberta/encoder/layer.0/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="66" name="__module.roberta.encoder.layer.0.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2653,7 +958,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="131">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -2661,45 +966,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_24905_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="386110112" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="158" name="Constant_24905" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="159" name="Constant_24388_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="386111648" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/key/MatMul, onnx::MatMul_1557" />
-			</rt_info>
+		<layer id="67" name="self.roberta.encoder.layer.0.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="385982608" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -2707,11 +975,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="Constant_24388" type="Convert" version="opset1">
+		<layer id="68" name="self.roberta.encoder.layer.0.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/key/MatMul, onnx::MatMul_1557" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2720,17 +987,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="/roberta/encoder/layer.0/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="69" name="__module.roberta.encoder.layer.0.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/key/MatMul, onnx::MatMul_1557" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2743,42 +1007,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="/roberta/encoder/layer.0/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="70" name="Constant_146589_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="387162256" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="Constant_146589" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="__module.roberta.encoder.layer.0.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="110,x.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="/roberta/encoder/layer.0/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="73" name="__module.roberta.encoder.layer.0.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Concat, /roberta/encoder/layer.0/attention/self/Constant_2, /roberta/encoder/layer.0/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -2786,11 +1077,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="/roberta/encoder/layer.0/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="74" name="__module.roberta.encoder.layer.0.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2802,7 +1090,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="114,x.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -2810,21 +1098,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="Constant_390" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_390" />
-			</rt_info>
+		<layer id="75" name="Constant_139301" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="115">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="/roberta/encoder/layer.0/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="76" name="__module.roberta.encoder.layer.0.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2837,19 +1119,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="116,key_layer.1">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="167" name="Constant_24906_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Constant_12, /roberta/encoder/layer.0/attention/self/Div" />
-			</rt_info>
+		<layer id="77" name="Constant_150983_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2859,11 +1138,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="Constant_24906" type="Convert" version="opset1">
+		<layer id="78" name="Constant_150983" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Constant_12, /roberta/encoder/layer.0/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2882,17 +1160,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="Multiply_24754" type="Multiply" version="opset1">
+		<layer id="79" name="Multiply_151029" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Constant_12, /roberta/encoder/layer.0/attention/self/Div, /roberta/encoder/layer.0/attention/self/MatMul, /roberta/encoder/layer.0/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -2905,16 +1180,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="/roberta/encoder/layer.0/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Constant_12, /roberta/encoder/layer.0/attention/self/Div, /roberta/encoder/layer.0/attention/self/MatMul, /roberta/encoder/layer.0/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="80" name="__module.roberta.encoder.layer.0.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2925,12 +1197,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="134,attention_scores.3">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -2938,11 +1210,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="171" name="Constant_24907_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291330" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Constant_8" />
-			</rt_info>
+		<layer id="81" name="Constant_146592_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163794" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2952,11 +1221,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="Constant_24907" type="Convert" version="opset1">
+		<layer id="82" name="Constant_146592" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/Constant_8" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2975,87 +1243,116 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="173" name="Constant_262" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137768" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_262" />
-			</rt_info>
-			<output>
+		<layer id="83" name="__module.roberta/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
 				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="42">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="/roberta/Unsqueeze_3" type="Unsqueeze" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Unsqueeze_3" />
-			</rt_info>
+		<layer id="84" name="26" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="387163796" size="8" />
+			<output>
+				<port id="0" precision="I64" names="26" />
+			</output>
+		</layer>
+		<layer id="85" name="__module.roberta/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="43,44,extended_attention_mask">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="__module.roberta/aten::to/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/roberta/Unsqueeze_3_output_0">
+				<port id="1" precision="FP32" names="45">
 					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="Constant_264" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="387291332" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_264" />
-			</rt_info>
+		<layer id="87" name="Constant_146591_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163794" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="/roberta/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="88" name="Constant_146591" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Unsqueeze_4" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>-1</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/roberta/Unsqueeze_4_output_0">
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="/roberta/Cast" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Cast" />
-			</rt_info>
+		<layer id="89" name="__module.roberta/aten::rsub/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/Cast_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -3063,11 +1360,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="178" name="/roberta/Sub" type="Subtract" version="opset1">
+		<layer id="90" name="__module.roberta/aten::rsub/Subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3083,7 +1377,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/Sub_output_0">
+				<port id="2" precision="FP32" names="46">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -3091,11 +1385,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="Constant_24908" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="387291340" size="4" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Constant_9" />
-			</rt_info>
+		<layer id="91" name="Constant_146593" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="387163804" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3105,11 +1396,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="/roberta/Mul_1" type="Multiply" version="opset1">
+		<layer id="92" name="__module.roberta/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3125,7 +1413,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/Mul_1_output_0">
+				<port id="2" precision="FP32" names="47,attention_mask">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
@@ -3133,11 +1421,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="/roberta/encoder/layer.0/attention/self/Add" type="Add" version="opset1">
+		<layer id="93" name="__module.roberta.encoder.layer.0.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3153,7 +1438,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="135,input.3">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -3161,11 +1446,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="/roberta/encoder/layer.0/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Softmax" />
-			</rt_info>
+		<layer id="94" name="__module.roberta.encoder.layer.0.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3175,7 +1457,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="136,input.5">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -3183,45 +1465,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="Constant_24909_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="387291344" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="184" name="Constant_24909" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="185" name="Constant_24392_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="387292880" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/value/MatMul, onnx::MatMul_1560" />
-			</rt_info>
+		<layer id="95" name="self.roberta.encoder.layer.0.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="387163808" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -3229,11 +1474,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="Constant_24392" type="Convert" version="opset1">
+		<layer id="96" name="self.roberta.encoder.layer.0.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/value/MatMul, onnx::MatMul_1560" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3242,17 +1486,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="/roberta/encoder/layer.0/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="97" name="__module.roberta.encoder.layer.0.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/value/MatMul, onnx::MatMul_1560" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3265,42 +1506,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="/roberta/encoder/layer.0/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="98" name="Constant_146594_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="388343456" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Constant_146594" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="__module.roberta.encoder.layer.0.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="119,x.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="/roberta/encoder/layer.0/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="101" name="__module.roberta.encoder.layer.0.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Concat_1, /roberta/encoder/layer.0/attention/self/Constant_6, /roberta/encoder/layer.0/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -3308,11 +1576,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="/roberta/encoder/layer.0/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="102" name="__module.roberta.encoder.layer.0.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3324,7 +1589,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="123,x.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -3332,21 +1597,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="Constant_360" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_360" />
-			</rt_info>
+		<layer id="103" name="Constant_139324" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="124">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="/roberta/encoder/layer.0/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Transpose" />
-			</rt_info>
+		<layer id="104" name="__module.roberta.encoder.layer.0.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3359,7 +1618,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="125">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -3367,11 +1626,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="/roberta/encoder/layer.0/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="105" name="__module.roberta.encoder.layer.0.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3387,7 +1643,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="138,context_layer.1">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -3395,21 +1651,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="Constant_398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_398" />
-			</rt_info>
+		<layer id="106" name="Constant_139398" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="139">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="/roberta/encoder/layer.0/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="107" name="__module.roberta.encoder.layer.0.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3422,7 +1672,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="140">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -3430,10 +1680,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="196" name="/roberta/encoder/layer.0/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="108" name="__module.roberta.encoder.layer.0.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Concat_3, /roberta/encoder/layer.0/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -3441,11 +1691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="/roberta/encoder/layer.0/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="109" name="__module.roberta.encoder.layer.0.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3458,18 +1705,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="145">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="Constant_24396_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="388472552" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/dense/MatMul, onnx::MatMul_1566" />
-			</rt_info>
+		<layer id="110" name="self.roberta.encoder.layer.0.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="388345016" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -3477,11 +1721,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="Constant_24396" type="Convert" version="opset1">
+		<layer id="111" name="self.roberta.encoder.layer.0.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/dense/MatMul, onnx::MatMul_1566" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3490,17 +1733,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="/roberta/encoder/layer.0/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="112" name="__module.roberta.encoder.layer.0.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/dense/MatMul, onnx::MatMul_1566" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3513,43 +1753,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="/roberta/encoder/layer.0/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="113" name="Constant_146595_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="389524664" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="Constant_146595" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="__module.roberta.encoder.layer.0.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="150,input.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="202" name="/roberta/encoder/layer.0/attention/output/Add" type="Add" version="opset1">
+		<layer id="116" name="__module.roberta.encoder.layer.0.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3563,52 +1827,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="152">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="203" name="Constant_428" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_428" />
-			</rt_info>
+		<layer id="117" name="__module.roberta.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="/roberta/encoder/layer.0/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="118" name="__module.roberta.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/LayerNorm/Add, /roberta/encoder/layer.0/attention/output/LayerNorm/Div, /roberta/encoder/layer.0/attention/output/LayerNorm/Pow, /roberta/encoder/layer.0/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.0/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.0/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.0/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="Constant_24911_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="389652200" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="119" name="Constant_146596_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="389526200" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3617,11 +1872,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="Constant_24911" type="Convert" version="opset1">
+		<layer id="120" name="Constant_146596" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3638,11 +1892,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="/roberta/encoder/layer.0/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="121" name="__module.roberta.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3656,18 +1907,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="Constant_24912_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="389653736" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="122" name="Constant_146597_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="389527736" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3676,11 +1924,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="Constant_24912" type="Convert" version="opset1">
+		<layer id="123" name="Constant_146597" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3697,11 +1944,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="/roberta/encoder/layer.0/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="124" name="__module.roberta.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3715,18 +1959,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="156,input_tensor.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="Constant_24401_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="389655272" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/intermediate/dense/MatMul, onnx::MatMul_1567" />
-			</rt_info>
+		<layer id="125" name="self.roberta.encoder.layer.0.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="389529272" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -3734,11 +1975,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="Constant_24401" type="Convert" version="opset1">
+		<layer id="126" name="self.roberta.encoder.layer.0.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/intermediate/dense/MatMul, onnx::MatMul_1567" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3747,17 +1987,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="/roberta/encoder/layer.0/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="127" name="__module.roberta.encoder.layer.0.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/intermediate/dense/MatMul, onnx::MatMul_1567" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3770,43 +2007,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="/roberta/encoder/layer.0/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="128" name="Constant_146598_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="394247864" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="Constant_146598" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="__module.roberta.encoder.layer.0.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="160">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="/roberta/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="131" name="__module.roberta.encoder.layer.0.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.0/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.0/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.0/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3815,18 +2076,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="161">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="Constant_24406_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="394373864" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/dense/MatMul, onnx::MatMul_1568" />
-			</rt_info>
+		<layer id="132" name="self.roberta.encoder.layer.0.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="394254008" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -3834,11 +2092,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="Constant_24406" type="Convert" version="opset1">
+		<layer id="133" name="self.roberta.encoder.layer.0.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/dense/MatMul, onnx::MatMul_1568" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3847,17 +2104,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.0.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="218" name="/roberta/encoder/layer.0/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="134" name="__module.roberta.encoder.layer.0.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/dense/MatMul, onnx::MatMul_1568" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3870,43 +2124,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="/roberta/encoder/layer.0/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="135" name="Constant_146599_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="398972600" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="Constant_146599" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="__module.roberta.encoder.layer.0.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="166,input.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="/roberta/encoder/layer.0/output/Add" type="Add" version="opset1">
+		<layer id="138" name="__module.roberta.encoder.layer.0.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3920,52 +2198,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/Add_output_0">
+				<port id="2" precision="FP32" names="168">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="Constant_454" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_454" />
-			</rt_info>
+		<layer id="139" name="__module.roberta.encoder.layer.0.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="/roberta/encoder/layer.0/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="140" name="__module.roberta.encoder.layer.0.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/LayerNorm/Add, /roberta/encoder/layer.0/output/LayerNorm/Div, /roberta/encoder/layer.0/output/LayerNorm/Pow, /roberta/encoder/layer.0/output/LayerNorm/ReduceMean, /roberta/encoder/layer.0/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.0/output/LayerNorm/Sqrt, /roberta/encoder/layer.0/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Constant_24915_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="399092456" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="141" name="Constant_146600_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="398974136" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3974,11 +2243,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Constant_24915" type="Convert" version="opset1">
+		<layer id="142" name="Constant_146600" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3995,11 +2263,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="/roberta/encoder/layer.0/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="143" name="__module.roberta.encoder.layer.0.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4013,18 +2278,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="Constant_24916_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="399093992" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="144" name="Constant_146601_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="398975672" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4033,11 +2295,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="Constant_24916" type="Convert" version="opset1">
+		<layer id="145" name="Constant_146601" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.0.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4054,11 +2315,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="/roberta/encoder/layer.0/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="146" name="__module.roberta.encoder.layer.0.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.0/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4072,18 +2330,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.0/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="172,input_tensor.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="Constant_24411_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="399095528" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/query/MatMul, onnx::MatMul_1569" />
-			</rt_info>
+		<layer id="147" name="self.roberta.encoder.layer.1.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="398977208" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -4091,11 +2346,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="Constant_24411" type="Convert" version="opset1">
+		<layer id="148" name="self.roberta.encoder.layer.1.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/query/MatMul, onnx::MatMul_1569" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4104,17 +2358,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="/roberta/encoder/layer.1/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="149" name="__module.roberta.encoder.layer.1.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/query/MatMul, onnx::MatMul_1569" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4127,42 +2378,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="/roberta/encoder/layer.1/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="150" name="Constant_146602_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="400156856" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="Constant_146602" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="__module.roberta.encoder.layer.1.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="183,x.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="/roberta/encoder/layer.1/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="153" name="__module.roberta.encoder.layer.1.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Concat_2, /roberta/encoder/layer.1/attention/self/Constant_10, /roberta/encoder/layer.1/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -4170,11 +2448,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="/roberta/encoder/layer.1/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="154" name="__module.roberta.encoder.layer.1.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4186,7 +2461,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="205,x.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -4194,21 +2469,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="Constant_553" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_553" />
-			</rt_info>
+		<layer id="155" name="Constant_139546" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="206">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="/roberta/encoder/layer.1/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="156" name="__module.roberta.encoder.layer.1.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4221,7 +2490,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="207">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4229,45 +2498,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="Constant_24918_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="400275176" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="238" name="Constant_24918" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="239" name="Constant_24415_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="400276712" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/key/MatMul, onnx::MatMul_1570" />
-			</rt_info>
+		<layer id="157" name="self.roberta.encoder.layer.1.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="400158392" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -4275,11 +2507,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="Constant_24415" type="Convert" version="opset1">
+		<layer id="158" name="self.roberta.encoder.layer.1.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/key/MatMul, onnx::MatMul_1570" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4288,17 +2519,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="/roberta/encoder/layer.1/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="159" name="__module.roberta.encoder.layer.1.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/key/MatMul, onnx::MatMul_1570" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4311,42 +2539,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="/roberta/encoder/layer.1/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="160" name="Constant_146603_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="401338040" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="Constant_146603" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="__module.roberta.encoder.layer.1.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="186,x.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="/roberta/encoder/layer.1/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="163" name="__module.roberta.encoder.layer.1.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Concat, /roberta/encoder/layer.1/attention/self/Constant_2, /roberta/encoder/layer.1/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -4354,11 +2609,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="/roberta/encoder/layer.1/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="164" name="__module.roberta.encoder.layer.1.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4370,7 +2622,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="190,x.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -4378,21 +2630,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="Constant_555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_555" />
-			</rt_info>
+		<layer id="165" name="Constant_139506" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="191">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="/roberta/encoder/layer.1/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="166" name="__module.roberta.encoder.layer.1.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4405,19 +2651,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="192,key_layer.3">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_24919_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Constant_12, /roberta/encoder/layer.1/attention/self/Div" />
-			</rt_info>
+		<layer id="167" name="Constant_150987_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4427,11 +2670,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="Constant_24919" type="Convert" version="opset1">
+		<layer id="168" name="Constant_150987" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Constant_12, /roberta/encoder/layer.1/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4450,17 +2692,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="Multiply_24756" type="Multiply" version="opset1">
+		<layer id="169" name="Multiply_151031" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Constant_12, /roberta/encoder/layer.1/attention/self/Div, /roberta/encoder/layer.1/attention/self/MatMul, /roberta/encoder/layer.1/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -4473,16 +2712,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="/roberta/encoder/layer.1/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Constant_12, /roberta/encoder/layer.1/attention/self/Div, /roberta/encoder/layer.1/attention/self/MatMul, /roberta/encoder/layer.1/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="170" name="__module.roberta.encoder.layer.1.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4493,12 +2729,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="210,attention_scores.7">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4506,11 +2742,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="/roberta/encoder/layer.1/attention/self/Add" type="Add" version="opset1">
+		<layer id="171" name="__module.roberta.encoder.layer.1.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4526,7 +2759,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="211,input.11">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4534,11 +2767,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="/roberta/encoder/layer.1/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Softmax" />
-			</rt_info>
+		<layer id="172" name="__module.roberta.encoder.layer.1.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4548,7 +2778,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="212,input.13">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4556,45 +2786,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="Constant_24920_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="401456360" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="254" name="Constant_24920" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="255" name="Constant_24419_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="401457896" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/value/MatMul, onnx::MatMul_1573" />
-			</rt_info>
+		<layer id="173" name="self.roberta.encoder.layer.1.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="401339576" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -4602,11 +2795,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="Constant_24419" type="Convert" version="opset1">
+		<layer id="174" name="self.roberta.encoder.layer.1.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/value/MatMul, onnx::MatMul_1573" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4615,17 +2807,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="/roberta/encoder/layer.1/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="175" name="__module.roberta.encoder.layer.1.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/value/MatMul, onnx::MatMul_1573" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4638,42 +2827,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="/roberta/encoder/layer.1/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="176" name="Constant_146605_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="402519224" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="Constant_146605" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.roberta.encoder.layer.1.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="195,x.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="/roberta/encoder/layer.1/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="179" name="__module.roberta.encoder.layer.1.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Concat_1, /roberta/encoder/layer.1/attention/self/Constant_6, /roberta/encoder/layer.1/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -4681,11 +2897,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="/roberta/encoder/layer.1/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="180" name="__module.roberta.encoder.layer.1.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4697,7 +2910,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="199,x.19">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -4705,21 +2918,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="Constant_525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_525" />
-			</rt_info>
+		<layer id="181" name="Constant_139529" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="200">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="/roberta/encoder/layer.1/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Transpose" />
-			</rt_info>
+		<layer id="182" name="__module.roberta.encoder.layer.1.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4732,7 +2939,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="201">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4740,11 +2947,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="/roberta/encoder/layer.1/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="183" name="__module.roberta.encoder.layer.1.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4760,7 +2964,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="214,context_layer.5">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -4768,21 +2972,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="Constant_563" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_563" />
-			</rt_info>
+		<layer id="184" name="Constant_139603" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="215">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="/roberta/encoder/layer.1/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="185" name="__module.roberta.encoder.layer.1.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4795,7 +2993,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="216">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -4803,10 +3001,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="/roberta/encoder/layer.1/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="186" name="__module.roberta.encoder.layer.1.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Concat_3, /roberta/encoder/layer.1/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -4814,11 +3012,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="/roberta/encoder/layer.1/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="187" name="__module.roberta.encoder.layer.1.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4831,18 +3026,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="221">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="Constant_24423_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="402637544" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/dense/MatMul, onnx::MatMul_1579" />
-			</rt_info>
+		<layer id="188" name="self.roberta.encoder.layer.1.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="402520760" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -4850,11 +3042,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="Constant_24423" type="Convert" version="opset1">
+		<layer id="189" name="self.roberta.encoder.layer.1.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/dense/MatMul, onnx::MatMul_1579" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4863,17 +3054,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="/roberta/encoder/layer.1/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="190" name="__module.roberta.encoder.layer.1.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/dense/MatMul, onnx::MatMul_1579" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4886,43 +3074,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="/roberta/encoder/layer.1/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="191" name="Constant_146606_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="403700408" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="Constant_146606" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="__module.roberta.encoder.layer.1.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="226,input.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="/roberta/encoder/layer.1/attention/output/Add" type="Add" version="opset1">
+		<layer id="194" name="__module.roberta.encoder.layer.1.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4936,52 +3148,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="228">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="Constant_593" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_593" />
-			</rt_info>
+		<layer id="195" name="__module.roberta.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="/roberta/encoder/layer.1/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="196" name="__module.roberta.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/LayerNorm/Add, /roberta/encoder/layer.1/attention/output/LayerNorm/Div, /roberta/encoder/layer.1/attention/output/LayerNorm/Pow, /roberta/encoder/layer.1/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.1/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.1/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.1/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="Constant_24922_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="403817192" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="197" name="Constant_146607_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="403701944" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4990,11 +3193,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="Constant_24922" type="Convert" version="opset1">
+		<layer id="198" name="Constant_146607" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5011,11 +3213,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="/roberta/encoder/layer.1/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="199" name="__module.roberta.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5029,18 +3228,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_24923_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="403818728" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="200" name="Constant_146608_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="403703480" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5049,11 +3245,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="Constant_24923" type="Convert" version="opset1">
+		<layer id="201" name="Constant_146608" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5070,11 +3265,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="/roberta/encoder/layer.1/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/attention/output/LayerNorm/Add_1" />
-			</rt_info>
+		<layer id="202" name="__module.roberta.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5088,18 +3280,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="232,input_tensor.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="Constant_24428_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="403820264" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/intermediate/dense/MatMul, onnx::MatMul_1580" />
-			</rt_info>
+		<layer id="203" name="self.roberta.encoder.layer.1.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="403705016" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -5107,11 +3296,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Constant_24428" type="Convert" version="opset1">
+		<layer id="204" name="self.roberta.encoder.layer.1.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/intermediate/dense/MatMul, onnx::MatMul_1580" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5120,17 +3308,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="/roberta/encoder/layer.1/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="205" name="__module.roberta.encoder.layer.1.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/intermediate/dense/MatMul, onnx::MatMul_1580" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5143,43 +3328,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="/roberta/encoder/layer.1/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="206" name="Constant_146609_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="408423608" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="Constant_146609" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="__module.roberta.encoder.layer.1.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="236">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="/roberta/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="209" name="__module.roberta.encoder.layer.1.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.1/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.1/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.1/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5188,18 +3397,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="237">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="Constant_24433_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="408538856" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/dense/MatMul, onnx::MatMul_1581" />
-			</rt_info>
+		<layer id="210" name="self.roberta.encoder.layer.1.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="408429752" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -5207,11 +3413,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="Constant_24433" type="Convert" version="opset1">
+		<layer id="211" name="self.roberta.encoder.layer.1.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/dense/MatMul, onnx::MatMul_1581" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5220,17 +3425,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.1.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="/roberta/encoder/layer.1/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="212" name="__module.roberta.encoder.layer.1.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/dense/MatMul, onnx::MatMul_1581" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5243,43 +3445,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="/roberta/encoder/layer.1/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="213" name="Constant_146610_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="413148344" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Constant_146610" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="__module.roberta.encoder.layer.1.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="242,input.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="/roberta/encoder/layer.1/output/Add" type="Add" version="opset1">
+		<layer id="216" name="__module.roberta.encoder.layer.1.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5293,52 +3519,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/Add_output_0">
+				<port id="2" precision="FP32" names="244">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="Constant_619" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_619" />
-			</rt_info>
+		<layer id="217" name="__module.roberta.encoder.layer.1.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="/roberta/encoder/layer.1/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="218" name="__module.roberta.encoder.layer.1.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/LayerNorm/Add, /roberta/encoder/layer.1/output/LayerNorm/Div, /roberta/encoder/layer.1/output/LayerNorm/Pow, /roberta/encoder/layer.1/output/LayerNorm/ReduceMean, /roberta/encoder/layer.1/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.1/output/LayerNorm/Sqrt, /roberta/encoder/layer.1/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="Constant_24926_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="413257448" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="219" name="Constant_146611_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="413149880" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5347,11 +3564,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_24926" type="Convert" version="opset1">
+		<layer id="220" name="Constant_146611" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5368,11 +3584,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="/roberta/encoder/layer.1/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="221" name="__module.roberta.encoder.layer.1.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5386,18 +3599,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="Constant_24927_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="413258984" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="222" name="Constant_146612_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="413151416" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5406,11 +3616,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="Constant_24927" type="Convert" version="opset1">
+		<layer id="223" name="Constant_146612" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.1.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5427,11 +3636,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="/roberta/encoder/layer.1/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="224" name="__module.roberta.encoder.layer.1.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.1/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5445,18 +3651,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.1/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="248,input_tensor.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="Constant_24438_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="413260520" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/query/MatMul, onnx::MatMul_1582" />
-			</rt_info>
+		<layer id="225" name="self.roberta.encoder.layer.2.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="413152952" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -5464,11 +3667,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_24438" type="Convert" version="opset1">
+		<layer id="226" name="self.roberta.encoder.layer.2.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/query/MatMul, onnx::MatMul_1582" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5477,17 +3679,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="/roberta/encoder/layer.2/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="227" name="__module.roberta.encoder.layer.2.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/query/MatMul, onnx::MatMul_1582" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5500,42 +3699,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="/roberta/encoder/layer.2/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="228" name="Constant_146613_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="414332600" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="Constant_146613" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="__module.roberta.encoder.layer.2.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="259,x.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="/roberta/encoder/layer.2/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="231" name="__module.roberta.encoder.layer.2.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Concat_2, /roberta/encoder/layer.2/attention/self/Constant_10, /roberta/encoder/layer.2/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -5543,11 +3769,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="/roberta/encoder/layer.2/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="232" name="__module.roberta.encoder.layer.2.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5559,7 +3782,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="281,x.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -5567,21 +3790,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="Constant_718" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_718" />
-			</rt_info>
+		<layer id="233" name="Constant_139751" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="282">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="/roberta/encoder/layer.2/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="234" name="__module.roberta.encoder.layer.2.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5594,7 +3811,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="283">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -5602,45 +3819,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="Constant_24929_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="414440168" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="308" name="Constant_24929" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="309" name="Constant_24442_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="414441704" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/key/MatMul, onnx::MatMul_1583" />
-			</rt_info>
+		<layer id="235" name="self.roberta.encoder.layer.2.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="414334136" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -5648,11 +3828,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="Constant_24442" type="Convert" version="opset1">
+		<layer id="236" name="self.roberta.encoder.layer.2.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/key/MatMul, onnx::MatMul_1583" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5661,17 +3840,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="/roberta/encoder/layer.2/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="237" name="__module.roberta.encoder.layer.2.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/key/MatMul, onnx::MatMul_1583" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5684,42 +3860,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="/roberta/encoder/layer.2/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="238" name="Constant_146614_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="415513784" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="Constant_146614" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="__module.roberta.encoder.layer.2.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="262,x.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="/roberta/encoder/layer.2/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="241" name="__module.roberta.encoder.layer.2.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Concat, /roberta/encoder/layer.2/attention/self/Constant_2, /roberta/encoder/layer.2/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -5727,11 +3930,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="/roberta/encoder/layer.2/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="242" name="__module.roberta.encoder.layer.2.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5743,7 +3943,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="266,x.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -5751,21 +3951,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="Constant_720" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_720" />
-			</rt_info>
+		<layer id="243" name="Constant_139711" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="267">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="/roberta/encoder/layer.2/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="244" name="__module.roberta.encoder.layer.2.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5778,19 +3972,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="268,key_layer.5">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="Constant_24930_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Constant_12, /roberta/encoder/layer.2/attention/self/Div" />
-			</rt_info>
+		<layer id="245" name="Constant_150991_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5800,11 +3991,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="Constant_24930" type="Convert" version="opset1">
+		<layer id="246" name="Constant_150991" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Constant_12, /roberta/encoder/layer.2/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5823,17 +4013,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="Multiply_24758" type="Multiply" version="opset1">
+		<layer id="247" name="Multiply_151033" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Constant_12, /roberta/encoder/layer.2/attention/self/Div, /roberta/encoder/layer.2/attention/self/MatMul, /roberta/encoder/layer.2/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -5846,16 +4033,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="320" name="/roberta/encoder/layer.2/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Constant_12, /roberta/encoder/layer.2/attention/self/Div, /roberta/encoder/layer.2/attention/self/MatMul, /roberta/encoder/layer.2/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="248" name="__module.roberta.encoder.layer.2.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5866,12 +4050,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="286,attention_scores.11">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -5879,11 +4063,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="/roberta/encoder/layer.2/attention/self/Add" type="Add" version="opset1">
+		<layer id="249" name="__module.roberta.encoder.layer.2.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5899,75 +4080,35 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="322" name="/roberta/encoder/layer.2/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Softmax" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="323" name="Constant_24931_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="415621352" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="287,input.19">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="Constant_24931" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.self.value.bias" />
-			</rt_info>
+		<layer id="250" name="__module.roberta.encoder.layer.2.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="1" precision="FP32" names="288,input.21">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="Constant_24446_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="415622888" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/value/MatMul, onnx::MatMul_1586" />
-			</rt_info>
+		<layer id="251" name="self.roberta.encoder.layer.2.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="415515320" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -5975,11 +4116,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="Constant_24446" type="Convert" version="opset1">
+		<layer id="252" name="self.roberta.encoder.layer.2.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/value/MatMul, onnx::MatMul_1586" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5988,17 +4128,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="/roberta/encoder/layer.2/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="253" name="__module.roberta.encoder.layer.2.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/value/MatMul, onnx::MatMul_1586" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6011,42 +4148,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="/roberta/encoder/layer.2/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="254" name="Constant_146616_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="416694968" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="Constant_146616" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="__module.roberta.encoder.layer.2.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="271,x.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="/roberta/encoder/layer.2/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="257" name="__module.roberta.encoder.layer.2.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Concat_1, /roberta/encoder/layer.2/attention/self/Constant_6, /roberta/encoder/layer.2/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -6054,11 +4218,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="/roberta/encoder/layer.2/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="258" name="__module.roberta.encoder.layer.2.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6070,7 +4231,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="275,x.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -6078,21 +4239,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="Constant_690" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_690" />
-			</rt_info>
+		<layer id="259" name="Constant_139734" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="276">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="/roberta/encoder/layer.2/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Transpose" />
-			</rt_info>
+		<layer id="260" name="__module.roberta.encoder.layer.2.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6105,7 +4260,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="277">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -6113,11 +4268,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="/roberta/encoder/layer.2/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="261" name="__module.roberta.encoder.layer.2.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6133,7 +4285,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="290,context_layer.9">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -6141,21 +4293,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Constant_728" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_728" />
-			</rt_info>
+		<layer id="262" name="Constant_139808" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="291">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="/roberta/encoder/layer.2/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="263" name="__module.roberta.encoder.layer.2.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6168,7 +4314,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="292">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -6176,10 +4322,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="/roberta/encoder/layer.2/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="264" name="__module.roberta.encoder.layer.2.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Concat_3, /roberta/encoder/layer.2/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -6187,11 +4333,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="/roberta/encoder/layer.2/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="265" name="__module.roberta.encoder.layer.2.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6204,18 +4347,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="297">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="Constant_24450_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="416802536" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/dense/MatMul, onnx::MatMul_1592" />
-			</rt_info>
+		<layer id="266" name="self.roberta.encoder.layer.2.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="416696504" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -6223,11 +4363,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="Constant_24450" type="Convert" version="opset1">
+		<layer id="267" name="self.roberta.encoder.layer.2.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/dense/MatMul, onnx::MatMul_1592" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6236,17 +4375,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="/roberta/encoder/layer.2/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="268" name="__module.roberta.encoder.layer.2.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/dense/MatMul, onnx::MatMul_1592" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6259,43 +4395,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="/roberta/encoder/layer.2/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="269" name="Constant_146617_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="417876152" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="Constant_146617" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.roberta.encoder.layer.2.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="302,input.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="/roberta/encoder/layer.2/attention/output/Add" type="Add" version="opset1">
+		<layer id="272" name="__module.roberta.encoder.layer.2.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6309,52 +4469,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="304">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="Constant_758" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_758" />
-			</rt_info>
+		<layer id="273" name="__module.roberta.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="/roberta/encoder/layer.2/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="274" name="__module.roberta.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/LayerNorm/Add, /roberta/encoder/layer.2/attention/output/LayerNorm/Div, /roberta/encoder/layer.2/attention/output/LayerNorm/Pow, /roberta/encoder/layer.2/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.2/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.2/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.2/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="Constant_24933_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="417982184" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="275" name="Constant_146618_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="417877688" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6363,11 +4514,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="Constant_24933" type="Convert" version="opset1">
+		<layer id="276" name="Constant_146618" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6384,11 +4534,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="/roberta/encoder/layer.2/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="277" name="__module.roberta.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6402,18 +4549,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Constant_24934_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="417983720" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="278" name="Constant_146619_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="417879224" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6422,11 +4566,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Constant_24934" type="Convert" version="opset1">
+		<layer id="279" name="Constant_146619" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6443,11 +4586,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="/roberta/encoder/layer.2/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="280" name="__module.roberta.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6461,18 +4601,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="308,input_tensor.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="Constant_24455_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="417985256" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/intermediate/dense/MatMul, onnx::MatMul_1593" />
-			</rt_info>
+		<layer id="281" name="self.roberta.encoder.layer.2.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="417880760" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -6480,11 +4617,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="Constant_24455" type="Convert" version="opset1">
+		<layer id="282" name="self.roberta.encoder.layer.2.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/intermediate/dense/MatMul, onnx::MatMul_1593" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6493,17 +4629,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="/roberta/encoder/layer.2/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="283" name="__module.roberta.encoder.layer.2.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/intermediate/dense/MatMul, onnx::MatMul_1593" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6516,43 +4649,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="/roberta/encoder/layer.2/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="284" name="Constant_146620_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="422599352" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="Constant_146620" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="__module.roberta.encoder.layer.2.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="312">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="/roberta/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="287" name="__module.roberta.encoder.layer.2.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.2/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.2/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.2/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6561,18 +4718,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="313">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="Constant_24460_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="422703848" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/dense/MatMul, onnx::MatMul_1594" />
-			</rt_info>
+		<layer id="288" name="self.roberta.encoder.layer.2.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="422605496" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -6580,11 +4734,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="Constant_24460" type="Convert" version="opset1">
+		<layer id="289" name="self.roberta.encoder.layer.2.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/dense/MatMul, onnx::MatMul_1594" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6593,17 +4746,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.2.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="/roberta/encoder/layer.2/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="290" name="__module.roberta.encoder.layer.2.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/dense/MatMul, onnx::MatMul_1594" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6616,43 +4766,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="/roberta/encoder/layer.2/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="291" name="Constant_146621_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="427324088" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="Constant_146621" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="__module.roberta.encoder.layer.2.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="318,input.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="/roberta/encoder/layer.2/output/Add" type="Add" version="opset1">
+		<layer id="294" name="__module.roberta.encoder.layer.2.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6666,52 +4840,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/Add_output_0">
+				<port id="2" precision="FP32" names="320">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="Constant_784" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_784" />
-			</rt_info>
+		<layer id="295" name="__module.roberta.encoder.layer.2.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="/roberta/encoder/layer.2/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="296" name="__module.roberta.encoder.layer.2.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/LayerNorm/Add, /roberta/encoder/layer.2/output/LayerNorm/Div, /roberta/encoder/layer.2/output/LayerNorm/Pow, /roberta/encoder/layer.2/output/LayerNorm/ReduceMean, /roberta/encoder/layer.2/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.2/output/LayerNorm/Sqrt, /roberta/encoder/layer.2/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="Constant_24937_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="427422440" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="297" name="Constant_146622_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="427325624" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6720,11 +4885,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="Constant_24937" type="Convert" version="opset1">
+		<layer id="298" name="Constant_146622" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6741,11 +4905,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="/roberta/encoder/layer.2/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="299" name="__module.roberta.encoder.layer.2.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6759,18 +4920,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="Constant_24938_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="427423976" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="300" name="Constant_146623_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="427327160" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6779,11 +4937,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="Constant_24938" type="Convert" version="opset1">
+		<layer id="301" name="Constant_146623" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.2.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6800,11 +4957,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="/roberta/encoder/layer.2/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="302" name="__module.roberta.encoder.layer.2.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.2/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6818,18 +4972,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.2/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="324,input_tensor.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Constant_24465_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="427425512" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/query/MatMul, onnx::MatMul_1595" />
-			</rt_info>
+		<layer id="303" name="self.roberta.encoder.layer.3.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="427328696" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -6837,11 +4988,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="Constant_24465" type="Convert" version="opset1">
+		<layer id="304" name="self.roberta.encoder.layer.3.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/query/MatMul, onnx::MatMul_1595" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6850,17 +5000,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="/roberta/encoder/layer.3/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="305" name="__module.roberta.encoder.layer.3.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/query/MatMul, onnx::MatMul_1595" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6873,42 +5020,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="/roberta/encoder/layer.3/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="306" name="Constant_146624_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="428508344" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="Constant_146624" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="__module.roberta.encoder.layer.3.attention.self.query/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/query/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="335,x.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="/roberta/encoder/layer.3/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="309" name="__module.roberta.encoder.layer.3.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Concat_2, /roberta/encoder/layer.3/attention/self/Constant_10, /roberta/encoder/layer.3/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -6916,11 +5090,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="/roberta/encoder/layer.3/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="310" name="__module.roberta.encoder.layer.3.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6932,7 +5103,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="357,x.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -6940,21 +5111,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="Constant_883" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_883" />
-			</rt_info>
+		<layer id="311" name="Constant_139956" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="358">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="/roberta/encoder/layer.3/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="312" name="__module.roberta.encoder.layer.3.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6967,7 +5132,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="359">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -6975,45 +5140,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="Constant_24940_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="428605160" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="378" name="Constant_24940" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="379" name="Constant_24469_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="428606696" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/key/MatMul, onnx::MatMul_1596" />
-			</rt_info>
+		<layer id="313" name="self.roberta.encoder.layer.3.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="428509880" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -7021,11 +5149,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="Constant_24469" type="Convert" version="opset1">
+		<layer id="314" name="self.roberta.encoder.layer.3.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/key/MatMul, onnx::MatMul_1596" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7034,17 +5161,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="/roberta/encoder/layer.3/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="315" name="__module.roberta.encoder.layer.3.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/key/MatMul, onnx::MatMul_1596" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7057,42 +5181,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="/roberta/encoder/layer.3/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="316" name="Constant_146625_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="429689528" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="Constant_146625" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="__module.roberta.encoder.layer.3.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="338,x.37">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="/roberta/encoder/layer.3/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="319" name="__module.roberta.encoder.layer.3.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Concat, /roberta/encoder/layer.3/attention/self/Constant_2, /roberta/encoder/layer.3/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -7100,11 +5251,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="/roberta/encoder/layer.3/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="320" name="__module.roberta.encoder.layer.3.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7116,7 +5264,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="342,x.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -7124,21 +5272,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="Constant_885" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_885" />
-			</rt_info>
+		<layer id="321" name="Constant_139916" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="343">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="/roberta/encoder/layer.3/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="322" name="__module.roberta.encoder.layer.3.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7151,19 +5293,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="344,key_layer.7">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="Constant_24941_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Constant_12, /roberta/encoder/layer.3/attention/self/Div" />
-			</rt_info>
+		<layer id="323" name="Constant_150995_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7173,11 +5312,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_24941" type="Convert" version="opset1">
+		<layer id="324" name="Constant_150995" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Constant_12, /roberta/encoder/layer.3/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7196,17 +5334,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Multiply_24760" type="Multiply" version="opset1">
+		<layer id="325" name="Multiply_151035" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Constant_12, /roberta/encoder/layer.3/attention/self/Div, /roberta/encoder/layer.3/attention/self/MatMul, /roberta/encoder/layer.3/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -7219,16 +5354,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="/roberta/encoder/layer.3/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Constant_12, /roberta/encoder/layer.3/attention/self/Div, /roberta/encoder/layer.3/attention/self/MatMul, /roberta/encoder/layer.3/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="326" name="__module.roberta.encoder.layer.3.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7239,12 +5371,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="362,attention_scores.15">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -7252,11 +5384,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="/roberta/encoder/layer.3/attention/self/Add" type="Add" version="opset1">
+		<layer id="327" name="__module.roberta.encoder.layer.3.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7272,7 +5401,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="363,input.27">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -7280,11 +5409,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="/roberta/encoder/layer.3/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Softmax" />
-			</rt_info>
+		<layer id="328" name="__module.roberta.encoder.layer.3.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7294,7 +5420,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="364,input.29">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -7302,45 +5428,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="Constant_24942_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="429786344" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="394" name="Constant_24942" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="395" name="Constant_24473_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="429787880" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/value/MatMul, onnx::MatMul_1599" />
-			</rt_info>
+		<layer id="329" name="self.roberta.encoder.layer.3.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="429691064" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -7348,11 +5437,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_24473" type="Convert" version="opset1">
+		<layer id="330" name="self.roberta.encoder.layer.3.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/value/MatMul, onnx::MatMul_1599" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7361,17 +5449,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="/roberta/encoder/layer.3/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="331" name="__module.roberta.encoder.layer.3.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/value/MatMul, onnx::MatMul_1599" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7384,42 +5469,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="/roberta/encoder/layer.3/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="332" name="Constant_146627_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="430870712" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="Constant_146627" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="__module.roberta.encoder.layer.3.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="347,x.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="/roberta/encoder/layer.3/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="335" name="__module.roberta.encoder.layer.3.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Concat_1, /roberta/encoder/layer.3/attention/self/Constant_6, /roberta/encoder/layer.3/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -7427,11 +5539,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="/roberta/encoder/layer.3/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="336" name="__module.roberta.encoder.layer.3.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7443,7 +5552,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="351,x.43">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -7451,21 +5560,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="Constant_855" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_855" />
-			</rt_info>
+		<layer id="337" name="Constant_139939" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="352">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="/roberta/encoder/layer.3/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Transpose" />
-			</rt_info>
+		<layer id="338" name="__module.roberta.encoder.layer.3.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7478,7 +5581,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="353">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -7486,11 +5589,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="/roberta/encoder/layer.3/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="339" name="__module.roberta.encoder.layer.3.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7506,7 +5606,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="366,context_layer.13">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -7514,21 +5614,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="Constant_893" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_893" />
-			</rt_info>
+		<layer id="340" name="Constant_140013" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="367">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="/roberta/encoder/layer.3/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="341" name="__module.roberta.encoder.layer.3.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7541,7 +5635,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="368">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -7549,10 +5643,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="/roberta/encoder/layer.3/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="342" name="__module.roberta.encoder.layer.3.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Concat_3, /roberta/encoder/layer.3/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -7560,11 +5654,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="/roberta/encoder/layer.3/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="343" name="__module.roberta.encoder.layer.3.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7577,18 +5668,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="373">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="Constant_24477_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="430967528" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/dense/MatMul, onnx::MatMul_1605" />
-			</rt_info>
+		<layer id="344" name="self.roberta.encoder.layer.3.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="430872248" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -7596,11 +5684,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="Constant_24477" type="Convert" version="opset1">
+		<layer id="345" name="self.roberta.encoder.layer.3.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/dense/MatMul, onnx::MatMul_1605" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7609,17 +5696,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="/roberta/encoder/layer.3/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="346" name="__module.roberta.encoder.layer.3.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/dense/MatMul, onnx::MatMul_1605" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7632,43 +5716,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="/roberta/encoder/layer.3/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="347" name="Constant_146628_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="432051896" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="Constant_146628" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="__module.roberta.encoder.layer.3.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="378,input.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="/roberta/encoder/layer.3/attention/output/Add" type="Add" version="opset1">
+		<layer id="350" name="__module.roberta.encoder.layer.3.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
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 				<port id="0" precision="FP32">
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@@ -7682,52 +5790,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="380">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="Constant_923" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_923" />
-			</rt_info>
+		<layer id="351" name="__module.roberta.encoder.layer.3.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
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 			</output>
 		</layer>
-		<layer id="414" name="/roberta/encoder/layer.3/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="352" name="__module.roberta.encoder.layer.3.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Constant_24944_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="432147176" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="353" name="Constant_146629_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="432053432" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7736,11 +5835,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="Constant_24944" type="Convert" version="opset1">
+		<layer id="354" name="Constant_146629" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7757,11 +5855,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="/roberta/encoder/layer.3/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="355" name="__module.roberta.encoder.layer.3.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/LayerNorm/Mul" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7775,18 +5870,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="Constant_24945_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="432148712" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="356" name="Constant_146630_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="432054968" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7795,11 +5887,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="Constant_24945" type="Convert" version="opset1">
+		<layer id="357" name="Constant_146630" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7816,11 +5907,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="/roberta/encoder/layer.3/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="358" name="__module.roberta.encoder.layer.3.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7834,18 +5922,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="384,input_tensor.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="Constant_24482_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="432150248" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/intermediate/dense/MatMul, onnx::MatMul_1606" />
-			</rt_info>
+		<layer id="359" name="self.roberta.encoder.layer.3.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="432056504" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -7853,11 +5938,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="Constant_24482" type="Convert" version="opset1">
+		<layer id="360" name="self.roberta.encoder.layer.3.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/intermediate/dense/MatMul, onnx::MatMul_1606" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7866,17 +5950,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="/roberta/encoder/layer.3/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="361" name="__module.roberta.encoder.layer.3.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/intermediate/dense/MatMul, onnx::MatMul_1606" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7889,43 +5970,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="/roberta/encoder/layer.3/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="362" name="Constant_146631_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="436775096" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="Constant_146631" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="__module.roberta.encoder.layer.3.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="388">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="/roberta/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="365" name="__module.roberta.encoder.layer.3.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.3/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.3/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.3/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7934,18 +6039,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="389">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="Constant_24487_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="436868840" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/dense/MatMul, onnx::MatMul_1607" />
-			</rt_info>
+		<layer id="366" name="self.roberta.encoder.layer.3.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="436781240" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -7953,11 +6055,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="Constant_24487" type="Convert" version="opset1">
+		<layer id="367" name="self.roberta.encoder.layer.3.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/dense/MatMul, onnx::MatMul_1607" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7966,17 +6067,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.3.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="/roberta/encoder/layer.3/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="368" name="__module.roberta.encoder.layer.3.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/dense/MatMul, onnx::MatMul_1607" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7989,43 +6087,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="/roberta/encoder/layer.3/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="369" name="Constant_146632_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="441499832" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="Constant_146632" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="__module.roberta.encoder.layer.3.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="394,input.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="/roberta/encoder/layer.3/output/Add" type="Add" version="opset1">
+		<layer id="372" name="__module.roberta.encoder.layer.3.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8039,52 +6161,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/Add_output_0">
+				<port id="2" precision="FP32" names="396">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="Constant_949" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_949" />
-			</rt_info>
+		<layer id="373" name="__module.roberta.encoder.layer.3.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="/roberta/encoder/layer.3/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="374" name="__module.roberta.encoder.layer.3.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/LayerNorm/Add, /roberta/encoder/layer.3/output/LayerNorm/Div, /roberta/encoder/layer.3/output/LayerNorm/Pow, /roberta/encoder/layer.3/output/LayerNorm/ReduceMean, /roberta/encoder/layer.3/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.3/output/LayerNorm/Sqrt, /roberta/encoder/layer.3/output/LayerNorm/Sub" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="433" name="Constant_24948_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="441587432" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="375" name="Constant_146633_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="441501368" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8093,11 +6206,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="Constant_24948" type="Convert" version="opset1">
+		<layer id="376" name="Constant_146633" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8114,11 +6226,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="/roberta/encoder/layer.3/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="377" name="__module.roberta.encoder.layer.3.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8132,18 +6241,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="Constant_24949_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="441588968" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="378" name="Constant_146634_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="441502904" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8152,11 +6258,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="437" name="Constant_24949" type="Convert" version="opset1">
+		<layer id="379" name="Constant_146634" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.3.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8173,11 +6278,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="/roberta/encoder/layer.3/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="380" name="__module.roberta.encoder.layer.3.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.3/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8191,18 +6293,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.3/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="400,input_tensor.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="Constant_24492_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="441590504" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/query/MatMul, onnx::MatMul_1608" />
-			</rt_info>
+		<layer id="381" name="self.roberta.encoder.layer.4.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="441504440" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -8210,11 +6309,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="Constant_24492" type="Convert" version="opset1">
+		<layer id="382" name="self.roberta.encoder.layer.4.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/query/MatMul, onnx::MatMul_1608" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8223,17 +6321,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="/roberta/encoder/layer.4/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="383" name="__module.roberta.encoder.layer.4.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/query/MatMul, onnx::MatMul_1608" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8246,42 +6341,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="/roberta/encoder/layer.4/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="384" name="Constant_146635_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="442684088" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="Constant_146635" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="__module.roberta.encoder.layer.4.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="411,x.57">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="/roberta/encoder/layer.4/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="387" name="__module.roberta.encoder.layer.4.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Concat_2, /roberta/encoder/layer.4/attention/self/Constant_10, /roberta/encoder/layer.4/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -8289,11 +6411,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="/roberta/encoder/layer.4/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="388" name="__module.roberta.encoder.layer.4.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8305,7 +6424,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="433,x.59">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -8313,21 +6432,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="Constant_1048" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1048" />
-			</rt_info>
+		<layer id="389" name="Constant_140161" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="434">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="446" name="/roberta/encoder/layer.4/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="390" name="__module.roberta.encoder.layer.4.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8340,7 +6453,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="435">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8348,45 +6461,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="Constant_24951_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="442770152" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="448" name="Constant_24951" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="449" name="Constant_24496_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="442771688" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/key/MatMul, onnx::MatMul_1609" />
-			</rt_info>
+		<layer id="391" name="self.roberta.encoder.layer.4.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="442685624" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -8394,11 +6470,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="Constant_24496" type="Convert" version="opset1">
+		<layer id="392" name="self.roberta.encoder.layer.4.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/key/MatMul, onnx::MatMul_1609" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8407,17 +6482,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="/roberta/encoder/layer.4/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="393" name="__module.roberta.encoder.layer.4.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/key/MatMul, onnx::MatMul_1609" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8430,42 +6502,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="/roberta/encoder/layer.4/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="394" name="Constant_146636_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="443865272" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="Constant_146636" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="__module.roberta.encoder.layer.4.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="414,x.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="/roberta/encoder/layer.4/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="397" name="__module.roberta.encoder.layer.4.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Concat, /roberta/encoder/layer.4/attention/self/Constant_2, /roberta/encoder/layer.4/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -8473,11 +6572,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="/roberta/encoder/layer.4/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="398" name="__module.roberta.encoder.layer.4.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8489,7 +6585,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="418,x.51">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -8497,21 +6593,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="Constant_1050" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1050" />
-			</rt_info>
+		<layer id="399" name="Constant_140121" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="419">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="/roberta/encoder/layer.4/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="400" name="__module.roberta.encoder.layer.4.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8524,19 +6614,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="420,key_layer.9">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="Constant_24952_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Constant_12, /roberta/encoder/layer.4/attention/self/Div" />
-			</rt_info>
+		<layer id="401" name="Constant_150999_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8546,11 +6633,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="Constant_24952" type="Convert" version="opset1">
+		<layer id="402" name="Constant_150999" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Constant_12, /roberta/encoder/layer.4/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8569,17 +6655,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="Multiply_24762" type="Multiply" version="opset1">
+		<layer id="403" name="Multiply_151037" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Constant_12, /roberta/encoder/layer.4/attention/self/Div, /roberta/encoder/layer.4/attention/self/MatMul, /roberta/encoder/layer.4/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -8592,16 +6675,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="/roberta/encoder/layer.4/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Constant_12, /roberta/encoder/layer.4/attention/self/Div, /roberta/encoder/layer.4/attention/self/MatMul, /roberta/encoder/layer.4/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="404" name="__module.roberta.encoder.layer.4.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8612,12 +6692,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="438,attention_scores.19">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8625,11 +6705,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="/roberta/encoder/layer.4/attention/self/Add" type="Add" version="opset1">
+		<layer id="405" name="__module.roberta.encoder.layer.4.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8645,7 +6722,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="439,input.35">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8653,11 +6730,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="/roberta/encoder/layer.4/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Softmax" />
-			</rt_info>
+		<layer id="406" name="__module.roberta.encoder.layer.4.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8667,7 +6741,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="440,input.37">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8675,124 +6749,110 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="Constant_24953_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="443951336" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.self.value.bias" />
-			</rt_info>
+		<layer id="407" name="self.roberta.encoder.layer.4.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="443866808" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="Constant_24953" type="Convert" version="opset1">
+		<layer id="408" name="self.roberta.encoder.layer.4.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.self.value.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="465" name="Constant_24500_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="443952872" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/value/MatMul, onnx::MatMul_1612" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="FP16">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="Constant_24500" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/value/MatMul, onnx::MatMul_1612" />
-			</rt_info>
+		<layer id="409" name="__module.roberta.encoder.layer.4.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="Constant_146638_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="445046456" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="/roberta/encoder/layer.4/attention/self/value/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="411" name="Constant_146638" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/value/MatMul, onnx::MatMul_1612" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/value/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="/roberta/encoder/layer.4/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="412" name="__module.roberta.encoder.layer.4.attention.self.value/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/value/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="423,x.53">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="/roberta/encoder/layer.4/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="413" name="__module.roberta.encoder.layer.4.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Concat_1, /roberta/encoder/layer.4/attention/self/Constant_6, /roberta/encoder/layer.4/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -8800,11 +6860,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="/roberta/encoder/layer.4/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="414" name="__module.roberta.encoder.layer.4.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8816,7 +6873,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="427,x.55">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -8824,21 +6881,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="Constant_1020" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1020" />
-			</rt_info>
+		<layer id="415" name="Constant_140144" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="428">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="/roberta/encoder/layer.4/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Transpose" />
-			</rt_info>
+		<layer id="416" name="__module.roberta.encoder.layer.4.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8851,7 +6902,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="429">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8859,11 +6910,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="/roberta/encoder/layer.4/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="417" name="__module.roberta.encoder.layer.4.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8879,7 +6927,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="442,context_layer.17">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -8887,21 +6935,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="Constant_1058" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1058" />
-			</rt_info>
+		<layer id="418" name="Constant_140218" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="443">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="/roberta/encoder/layer.4/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="419" name="__module.roberta.encoder.layer.4.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8914,7 +6956,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="444">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -8922,10 +6964,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="/roberta/encoder/layer.4/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="420" name="__module.roberta.encoder.layer.4.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Concat_3, /roberta/encoder/layer.4/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -8933,11 +6975,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="/roberta/encoder/layer.4/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="421" name="__module.roberta.encoder.layer.4.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8950,18 +6989,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="449">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="Constant_24504_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="445132520" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/dense/MatMul, onnx::MatMul_1618" />
-			</rt_info>
+		<layer id="422" name="self.roberta.encoder.layer.4.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="445047992" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -8969,11 +7005,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Constant_24504" type="Convert" version="opset1">
+		<layer id="423" name="self.roberta.encoder.layer.4.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/dense/MatMul, onnx::MatMul_1618" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8982,17 +7017,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="/roberta/encoder/layer.4/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="424" name="__module.roberta.encoder.layer.4.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/dense/MatMul, onnx::MatMul_1618" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9005,43 +7037,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="/roberta/encoder/layer.4/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="425" name="Constant_146639_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="446227640" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="Constant_146639" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="__module.roberta.encoder.layer.4.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="454,input.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="/roberta/encoder/layer.4/attention/output/Add" type="Add" version="opset1">
+		<layer id="428" name="__module.roberta.encoder.layer.4.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9055,52 +7111,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="456">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="Constant_1088" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1088" />
-			</rt_info>
+		<layer id="429" name="__module.roberta.encoder.layer.4.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="/roberta/encoder/layer.4/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="430" name="__module.roberta.encoder.layer.4.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/LayerNorm/Add, /roberta/encoder/layer.4/attention/output/LayerNorm/Div, /roberta/encoder/layer.4/attention/output/LayerNorm/Pow, /roberta/encoder/layer.4/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.4/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.4/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.4/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="Constant_24955_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="446312168" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="431" name="Constant_146640_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="446229176" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9109,11 +7156,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="Constant_24955" type="Convert" version="opset1">
+		<layer id="432" name="Constant_146640" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9130,11 +7176,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="/roberta/encoder/layer.4/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="433" name="__module.roberta.encoder.layer.4.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9148,18 +7191,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="Constant_24956_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="446313704" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="434" name="Constant_146641_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="446230712" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9168,11 +7208,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="Constant_24956" type="Convert" version="opset1">
+		<layer id="435" name="Constant_146641" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9189,11 +7228,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="/roberta/encoder/layer.4/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="436" name="__module.roberta.encoder.layer.4.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9207,18 +7243,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="460,input_tensor.19">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Constant_24509_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="446315240" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/intermediate/dense/MatMul, onnx::MatMul_1619" />
-			</rt_info>
+		<layer id="437" name="self.roberta.encoder.layer.4.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="446232248" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -9226,11 +7259,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="Constant_24509" type="Convert" version="opset1">
+		<layer id="438" name="self.roberta.encoder.layer.4.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/intermediate/dense/MatMul, onnx::MatMul_1619" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9239,17 +7271,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="/roberta/encoder/layer.4/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="439" name="__module.roberta.encoder.layer.4.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/intermediate/dense/MatMul, onnx::MatMul_1619" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9262,43 +7291,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="/roberta/encoder/layer.4/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="440" name="Constant_146642_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="450950840" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="Constant_146642" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="__module.roberta.encoder.layer.4.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="464">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="/roberta/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="443" name="__module.roberta.encoder.layer.4.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.4/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.4/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.4/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9307,18 +7360,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="465">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="Constant_24514_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="451033832" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/dense/MatMul, onnx::MatMul_1620" />
-			</rt_info>
+		<layer id="444" name="self.roberta.encoder.layer.4.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="450956984" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -9326,11 +7376,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="Constant_24514" type="Convert" version="opset1">
+		<layer id="445" name="self.roberta.encoder.layer.4.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/dense/MatMul, onnx::MatMul_1620" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9339,17 +7388,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.4.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="/roberta/encoder/layer.4/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="446" name="__module.roberta.encoder.layer.4.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/dense/MatMul, onnx::MatMul_1620" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9362,43 +7408,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="/roberta/encoder/layer.4/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="447" name="Constant_146643_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="455675576" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="Constant_146643" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="__module.roberta.encoder.layer.4.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="470,input.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="/roberta/encoder/layer.4/output/Add" type="Add" version="opset1">
+		<layer id="450" name="__module.roberta.encoder.layer.4.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9412,52 +7482,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/Add_output_0">
+				<port id="2" precision="FP32" names="472">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Constant_1114" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1114" />
-			</rt_info>
+		<layer id="451" name="__module.roberta.encoder.layer.4.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="/roberta/encoder/layer.4/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="452" name="__module.roberta.encoder.layer.4.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/LayerNorm/Add, /roberta/encoder/layer.4/output/LayerNorm/Div, /roberta/encoder/layer.4/output/LayerNorm/Pow, /roberta/encoder/layer.4/output/LayerNorm/ReduceMean, /roberta/encoder/layer.4/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.4/output/LayerNorm/Sqrt, /roberta/encoder/layer.4/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="Constant_24959_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="455752424" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="453" name="Constant_146644_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="455677112" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9466,11 +7527,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="Constant_24959" type="Convert" version="opset1">
+		<layer id="454" name="Constant_146644" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9487,11 +7547,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="/roberta/encoder/layer.4/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="455" name="__module.roberta.encoder.layer.4.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9505,18 +7562,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="Constant_24960_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="455753960" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="456" name="Constant_146645_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="455678648" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9525,11 +7579,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="Constant_24960" type="Convert" version="opset1">
+		<layer id="457" name="Constant_146645" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.4.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9546,11 +7599,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="/roberta/encoder/layer.4/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="458" name="__module.roberta.encoder.layer.4.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.4/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9564,18 +7614,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.4/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="476,input_tensor.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="Constant_24519_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="455755496" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/query/MatMul, onnx::MatMul_1621" />
-			</rt_info>
+		<layer id="459" name="self.roberta.encoder.layer.5.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="455680184" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -9583,11 +7630,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="Constant_24519" type="Convert" version="opset1">
+		<layer id="460" name="self.roberta.encoder.layer.5.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/query/MatMul, onnx::MatMul_1621" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9596,17 +7642,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="/roberta/encoder/layer.5/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="461" name="__module.roberta.encoder.layer.5.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/query/MatMul, onnx::MatMul_1621" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9619,77 +7662,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="/roberta/encoder/layer.5/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="462" name="Constant_146646_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="456859832" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="Constant_146646" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/query/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="/roberta/encoder/layer.5/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Concat_2, /roberta/encoder/layer.5/attention/self/Constant_10, /roberta/encoder/layer.5/attention/self/Constant_11" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="514" name="/roberta/encoder/layer.5/attention/self/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Reshape_2" />
-			</rt_info>
+		<layer id="464" name="__module.roberta.encoder.layer.5.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="487,x.69">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>64</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="Constant_1213" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
+		<layer id="465" name="__module.roberta.encoder.layer.5.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1213" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -9697,69 +7732,58 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="/roberta/encoder/layer.5/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="466" name="__module.roberta.encoder.layer.5.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>64</dim>
+					<dim>768</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="509,x.71">
 					<dim>-1</dim>
-					<dim>12</dim>
 					<dim>-1</dim>
+					<dim>12</dim>
 					<dim>64</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="517" name="Constant_24962_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="456935144" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+			</output>
+		</layer>
+		<layer id="467" name="Constant_140366" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
+			<output>
+				<port id="0" precision="I64" names="510">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="Constant_24962" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.self.key.bias" />
-			</rt_info>
+		<layer id="468" name="__module.roberta.encoder.layer.5.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="511">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="Constant_24523_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="456936680" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/key/MatMul, onnx::MatMul_1622" />
-			</rt_info>
+		<layer id="469" name="self.roberta.encoder.layer.5.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="456861368" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -9767,11 +7791,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="Constant_24523" type="Convert" version="opset1">
+		<layer id="470" name="self.roberta.encoder.layer.5.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/key/MatMul, onnx::MatMul_1622" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9780,17 +7803,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="/roberta/encoder/layer.5/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="471" name="__module.roberta.encoder.layer.5.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/key/MatMul, onnx::MatMul_1622" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9803,42 +7823,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="/roberta/encoder/layer.5/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="472" name="Constant_146647_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="458041016" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="Constant_146647" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="__module.roberta.encoder.layer.5.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="490,x.61">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="/roberta/encoder/layer.5/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="475" name="__module.roberta.encoder.layer.5.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Concat, /roberta/encoder/layer.5/attention/self/Constant_2, /roberta/encoder/layer.5/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -9846,11 +7893,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="/roberta/encoder/layer.5/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="476" name="__module.roberta.encoder.layer.5.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9862,7 +7906,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="494,x.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -9870,21 +7914,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Constant_1215" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1215" />
-			</rt_info>
+		<layer id="477" name="Constant_140326" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="495">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="/roberta/encoder/layer.5/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="478" name="__module.roberta.encoder.layer.5.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9897,19 +7935,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="496,key_layer.11">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="Constant_24963_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Constant_12, /roberta/encoder/layer.5/attention/self/Div" />
-			</rt_info>
+		<layer id="479" name="Constant_151003_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9919,11 +7954,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="Constant_24963" type="Convert" version="opset1">
+		<layer id="480" name="Constant_151003" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Constant_12, /roberta/encoder/layer.5/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -9942,17 +7976,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Multiply_24764" type="Multiply" version="opset1">
+		<layer id="481" name="Multiply_151039" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Constant_12, /roberta/encoder/layer.5/attention/self/Div, /roberta/encoder/layer.5/attention/self/MatMul, /roberta/encoder/layer.5/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -9965,16 +7996,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="/roberta/encoder/layer.5/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Constant_12, /roberta/encoder/layer.5/attention/self/Div, /roberta/encoder/layer.5/attention/self/MatMul, /roberta/encoder/layer.5/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="482" name="__module.roberta.encoder.layer.5.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9985,12 +8013,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="514,attention_scores.23">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -9998,11 +8026,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="/roberta/encoder/layer.5/attention/self/Add" type="Add" version="opset1">
+		<layer id="483" name="__module.roberta.encoder.layer.5.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10018,7 +8043,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="515,input.43">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -10026,11 +8051,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="/roberta/encoder/layer.5/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Softmax" />
-			</rt_info>
+		<layer id="484" name="__module.roberta.encoder.layer.5.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10040,7 +8062,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="516,input.45">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -10048,45 +8070,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="Constant_24964_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="458116328" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="534" name="Constant_24964" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="535" name="Constant_24527_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="458117864" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/value/MatMul, onnx::MatMul_1625" />
-			</rt_info>
+		<layer id="485" name="self.roberta.encoder.layer.5.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="458042552" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -10094,11 +8079,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="Constant_24527" type="Convert" version="opset1">
+		<layer id="486" name="self.roberta.encoder.layer.5.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/value/MatMul, onnx::MatMul_1625" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10107,17 +8091,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="/roberta/encoder/layer.5/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="487" name="__module.roberta.encoder.layer.5.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/value/MatMul, onnx::MatMul_1625" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10130,42 +8111,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="/roberta/encoder/layer.5/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="488" name="Constant_146649_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="459222200" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="Constant_146649" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="__module.roberta.encoder.layer.5.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="499,x.65">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="/roberta/encoder/layer.5/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="491" name="__module.roberta.encoder.layer.5.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Concat_1, /roberta/encoder/layer.5/attention/self/Constant_6, /roberta/encoder/layer.5/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -10173,11 +8181,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="/roberta/encoder/layer.5/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="492" name="__module.roberta.encoder.layer.5.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10189,7 +8194,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="503,x.67">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -10197,21 +8202,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="Constant_1185" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1185" />
-			</rt_info>
+		<layer id="493" name="Constant_140349" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="504">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="/roberta/encoder/layer.5/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Transpose" />
-			</rt_info>
+		<layer id="494" name="__module.roberta.encoder.layer.5.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10224,7 +8223,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="505">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -10232,11 +8231,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="/roberta/encoder/layer.5/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="495" name="__module.roberta.encoder.layer.5.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10252,7 +8248,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="518,context_layer.21">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -10260,21 +8256,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="Constant_1223" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1223" />
-			</rt_info>
+		<layer id="496" name="Constant_140423" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="519">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="/roberta/encoder/layer.5/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="497" name="__module.roberta.encoder.layer.5.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10287,7 +8277,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="520">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -10295,10 +8285,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="/roberta/encoder/layer.5/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="498" name="__module.roberta.encoder.layer.5.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Concat_3, /roberta/encoder/layer.5/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -10306,11 +8296,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="/roberta/encoder/layer.5/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="499" name="__module.roberta.encoder.layer.5.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10323,18 +8310,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="525">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="Constant_24531_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="459297512" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/dense/MatMul, onnx::MatMul_1631" />
-			</rt_info>
+		<layer id="500" name="self.roberta.encoder.layer.5.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="459223736" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -10342,11 +8326,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="Constant_24531" type="Convert" version="opset1">
+		<layer id="501" name="self.roberta.encoder.layer.5.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/dense/MatMul, onnx::MatMul_1631" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10355,17 +8338,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="/roberta/encoder/layer.5/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="502" name="__module.roberta.encoder.layer.5.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/dense/MatMul, onnx::MatMul_1631" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10378,43 +8358,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="/roberta/encoder/layer.5/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="503" name="Constant_146650_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="460403384" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="Constant_146650" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="__module.roberta.encoder.layer.5.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="530,input.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="552" name="/roberta/encoder/layer.5/attention/output/Add" type="Add" version="opset1">
+		<layer id="506" name="__module.roberta.encoder.layer.5.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10428,52 +8432,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="532">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="Constant_1253" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1253" />
-			</rt_info>
+		<layer id="507" name="__module.roberta.encoder.layer.5.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="/roberta/encoder/layer.5/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="508" name="__module.roberta.encoder.layer.5.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/LayerNorm/Add, /roberta/encoder/layer.5/attention/output/LayerNorm/Div, /roberta/encoder/layer.5/attention/output/LayerNorm/Pow, /roberta/encoder/layer.5/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.5/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.5/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.5/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="Constant_24966_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="460477160" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="509" name="Constant_146651_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="460404920" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10482,11 +8477,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="Constant_24966" type="Convert" version="opset1">
+		<layer id="510" name="Constant_146651" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10503,11 +8497,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="/roberta/encoder/layer.5/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="511" name="__module.roberta.encoder.layer.5.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10521,18 +8512,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="Constant_24967_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="460478696" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="512" name="Constant_146652_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="460406456" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10541,11 +8529,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="Constant_24967" type="Convert" version="opset1">
+		<layer id="513" name="Constant_146652" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10562,11 +8549,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="/roberta/encoder/layer.5/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="514" name="__module.roberta.encoder.layer.5.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10580,18 +8564,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="536,input_tensor.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="Constant_24536_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="460480232" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/intermediate/dense/MatMul, onnx::MatMul_1632" />
-			</rt_info>
+		<layer id="515" name="self.roberta.encoder.layer.5.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="460407992" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -10599,11 +8580,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="Constant_24536" type="Convert" version="opset1">
+		<layer id="516" name="self.roberta.encoder.layer.5.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/intermediate/dense/MatMul, onnx::MatMul_1632" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10612,17 +8592,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="/roberta/encoder/layer.5/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="517" name="__module.roberta.encoder.layer.5.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/intermediate/dense/MatMul, onnx::MatMul_1632" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10635,43 +8612,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="/roberta/encoder/layer.5/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="518" name="Constant_146653_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="465126584" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="Constant_146653" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="__module.roberta.encoder.layer.5.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/intermediate/dense/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="540">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="/roberta/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="521" name="__module.roberta.encoder.layer.5.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.5/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.5/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.5/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10680,18 +8681,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="541">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="Constant_24541_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="465198824" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/dense/MatMul, onnx::MatMul_1633" />
-			</rt_info>
+		<layer id="522" name="self.roberta.encoder.layer.5.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="465132728" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -10699,11 +8697,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="Constant_24541" type="Convert" version="opset1">
+		<layer id="523" name="self.roberta.encoder.layer.5.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/dense/MatMul, onnx::MatMul_1633" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10712,17 +8709,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.5.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="/roberta/encoder/layer.5/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="524" name="__module.roberta.encoder.layer.5.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/dense/MatMul, onnx::MatMul_1633" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10735,43 +8729,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="/roberta/encoder/layer.5/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="525" name="Constant_146654_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="469851320" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Constant_146654" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="__module.roberta.encoder.layer.5.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="546,input.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="570" name="/roberta/encoder/layer.5/output/Add" type="Add" version="opset1">
+		<layer id="528" name="__module.roberta.encoder.layer.5.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10785,52 +8803,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/Add_output_0">
+				<port id="2" precision="FP32" names="548">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="571" name="Constant_1279" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1279" />
-			</rt_info>
+		<layer id="529" name="__module.roberta.encoder.layer.5.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="572" name="/roberta/encoder/layer.5/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="530" name="__module.roberta.encoder.layer.5.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/LayerNorm/Add, /roberta/encoder/layer.5/output/LayerNorm/Div, /roberta/encoder/layer.5/output/LayerNorm/Pow, /roberta/encoder/layer.5/output/LayerNorm/ReduceMean, /roberta/encoder/layer.5/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.5/output/LayerNorm/Sqrt, /roberta/encoder/layer.5/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="Constant_24970_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="469917416" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="531" name="Constant_146655_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="469852856" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10839,11 +8848,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="Constant_24970" type="Convert" version="opset1">
+		<layer id="532" name="Constant_146655" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10860,11 +8868,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="575" name="/roberta/encoder/layer.5/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="533" name="__module.roberta.encoder.layer.5.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10878,18 +8883,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="576" name="Constant_24971_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="469918952" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="534" name="Constant_146656_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="469854392" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -10898,11 +8900,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="577" name="Constant_24971" type="Convert" version="opset1">
+		<layer id="535" name="Constant_146656" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.5.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10919,11 +8920,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="/roberta/encoder/layer.5/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="536" name="__module.roberta.encoder.layer.5.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.5/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10937,18 +8935,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.5/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="552,input_tensor.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="Constant_24546_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="469920488" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/query/MatMul, onnx::MatMul_1634" />
-			</rt_info>
+		<layer id="537" name="self.roberta.encoder.layer.6.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="469855928" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -10956,11 +8951,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="Constant_24546" type="Convert" version="opset1">
+		<layer id="538" name="self.roberta.encoder.layer.6.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/query/MatMul, onnx::MatMul_1634" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -10969,17 +8963,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="/roberta/encoder/layer.6/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="539" name="__module.roberta.encoder.layer.6.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/query/MatMul, onnx::MatMul_1634" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10992,42 +8983,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="582" name="/roberta/encoder/layer.6/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="540" name="Constant_146657_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="471035576" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="Constant_146657" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="__module.roberta.encoder.layer.6.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="563,x.81">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="/roberta/encoder/layer.6/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="543" name="__module.roberta.encoder.layer.6.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Concat_2, /roberta/encoder/layer.6/attention/self/Constant_10, /roberta/encoder/layer.6/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -11035,11 +9053,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="/roberta/encoder/layer.6/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="544" name="__module.roberta.encoder.layer.6.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11051,7 +9066,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="585,x.83">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -11059,21 +9074,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="Constant_1378" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1378" />
-			</rt_info>
+		<layer id="545" name="Constant_140571" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="586">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="/roberta/encoder/layer.6/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="546" name="__module.roberta.encoder.layer.6.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11086,7 +9095,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="587">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11094,45 +9103,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="Constant_24973_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="471100136" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="588" name="Constant_24973" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="589" name="Constant_24550_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="471101672" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/key/MatMul, onnx::MatMul_1635" />
-			</rt_info>
+		<layer id="547" name="self.roberta.encoder.layer.6.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="471037112" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -11140,11 +9112,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="Constant_24550" type="Convert" version="opset1">
+		<layer id="548" name="self.roberta.encoder.layer.6.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/key/MatMul, onnx::MatMul_1635" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11153,17 +9124,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="/roberta/encoder/layer.6/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="549" name="__module.roberta.encoder.layer.6.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/key/MatMul, onnx::MatMul_1635" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11176,42 +9144,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="592" name="/roberta/encoder/layer.6/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="550" name="Constant_146658_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="472216760" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="Constant_146658" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="__module.roberta.encoder.layer.6.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="566,x.73">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="/roberta/encoder/layer.6/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="553" name="__module.roberta.encoder.layer.6.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Concat, /roberta/encoder/layer.6/attention/self/Constant_2, /roberta/encoder/layer.6/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -11219,11 +9214,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="/roberta/encoder/layer.6/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="554" name="__module.roberta.encoder.layer.6.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11235,7 +9227,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="570,x.75">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -11243,21 +9235,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="595" name="Constant_1380" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1380" />
-			</rt_info>
+		<layer id="555" name="Constant_140531" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="571">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="/roberta/encoder/layer.6/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="556" name="__module.roberta.encoder.layer.6.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11270,19 +9256,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="572,key_layer.13">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="Constant_24974_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Constant_12, /roberta/encoder/layer.6/attention/self/Div" />
-			</rt_info>
+		<layer id="557" name="Constant_151007_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11292,11 +9275,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="Constant_24974" type="Convert" version="opset1">
+		<layer id="558" name="Constant_151007" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Constant_12, /roberta/encoder/layer.6/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11315,17 +9297,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="Multiply_24766" type="Multiply" version="opset1">
+		<layer id="559" name="Multiply_151041" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Constant_12, /roberta/encoder/layer.6/attention/self/Div, /roberta/encoder/layer.6/attention/self/MatMul, /roberta/encoder/layer.6/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -11338,16 +9317,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="/roberta/encoder/layer.6/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Constant_12, /roberta/encoder/layer.6/attention/self/Div, /roberta/encoder/layer.6/attention/self/MatMul, /roberta/encoder/layer.6/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="560" name="__module.roberta.encoder.layer.6.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11358,12 +9334,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="590,attention_scores.27">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11371,11 +9347,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="/roberta/encoder/layer.6/attention/self/Add" type="Add" version="opset1">
+		<layer id="561" name="__module.roberta.encoder.layer.6.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11391,7 +9364,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="591,input.51">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11399,11 +9372,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="602" name="/roberta/encoder/layer.6/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Softmax" />
-			</rt_info>
+		<layer id="562" name="__module.roberta.encoder.layer.6.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11413,7 +9383,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="592,input.53">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11421,124 +9391,110 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="603" name="Constant_24975_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="472281320" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.self.value.bias" />
-			</rt_info>
+		<layer id="563" name="self.roberta.encoder.layer.6.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="472218296" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="Constant_24975" type="Convert" version="opset1">
+		<layer id="564" name="self.roberta.encoder.layer.6.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.self.value.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="605" name="Constant_24554_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="472282856" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/value/MatMul, onnx::MatMul_1638" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="FP16">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="606" name="Constant_24554" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/value/MatMul, onnx::MatMul_1638" />
-			</rt_info>
+		<layer id="565" name="__module.roberta.encoder.layer.6.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="FP32">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="607" name="/roberta/encoder/layer.6/attention/self/value/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/value/MatMul, onnx::MatMul_1638" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="566" name="Constant_146660_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="473397944" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="Constant_146660" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/value/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="/roberta/encoder/layer.6/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="568" name="__module.roberta.encoder.layer.6.attention.self.value/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/value/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="575,x.77">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="/roberta/encoder/layer.6/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="569" name="__module.roberta.encoder.layer.6.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Concat_1, /roberta/encoder/layer.6/attention/self/Constant_6, /roberta/encoder/layer.6/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -11546,11 +9502,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="/roberta/encoder/layer.6/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="570" name="__module.roberta.encoder.layer.6.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11562,7 +9515,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="579,x.79">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -11570,21 +9523,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="611" name="Constant_1350" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1350" />
-			</rt_info>
+		<layer id="571" name="Constant_140554" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="580">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="/roberta/encoder/layer.6/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Transpose" />
-			</rt_info>
+		<layer id="572" name="__module.roberta.encoder.layer.6.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11597,7 +9544,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="581">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11605,11 +9552,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="/roberta/encoder/layer.6/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="573" name="__module.roberta.encoder.layer.6.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11625,7 +9569,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="594,context_layer.25">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -11633,21 +9577,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="Constant_1388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1388" />
-			</rt_info>
+		<layer id="574" name="Constant_140628" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="595">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="/roberta/encoder/layer.6/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="575" name="__module.roberta.encoder.layer.6.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11660,7 +9598,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="596">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -11668,10 +9606,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="/roberta/encoder/layer.6/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="576" name="__module.roberta.encoder.layer.6.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Concat_3, /roberta/encoder/layer.6/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -11679,11 +9617,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="/roberta/encoder/layer.6/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="577" name="__module.roberta.encoder.layer.6.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11696,18 +9631,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="601">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="Constant_24558_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="473462504" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/dense/MatMul, onnx::MatMul_1644" />
-			</rt_info>
+		<layer id="578" name="self.roberta.encoder.layer.6.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="473399480" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -11715,11 +9647,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="Constant_24558" type="Convert" version="opset1">
+		<layer id="579" name="self.roberta.encoder.layer.6.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/dense/MatMul, onnx::MatMul_1644" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11728,17 +9659,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="/roberta/encoder/layer.6/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="580" name="__module.roberta.encoder.layer.6.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/dense/MatMul, onnx::MatMul_1644" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11751,43 +9679,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="/roberta/encoder/layer.6/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="581" name="Constant_146661_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="474579128" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="Constant_146661" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="__module.roberta.encoder.layer.6.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="606,input.55">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="/roberta/encoder/layer.6/attention/output/Add" type="Add" version="opset1">
+		<layer id="584" name="__module.roberta.encoder.layer.6.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11801,52 +9753,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="608">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="623" name="Constant_1418" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1418" />
-			</rt_info>
+		<layer id="585" name="__module.roberta.encoder.layer.6.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="624" name="/roberta/encoder/layer.6/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="586" name="__module.roberta.encoder.layer.6.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/LayerNorm/Add, /roberta/encoder/layer.6/attention/output/LayerNorm/Div, /roberta/encoder/layer.6/attention/output/LayerNorm/Pow, /roberta/encoder/layer.6/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.6/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.6/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.6/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="Constant_24977_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="474642152" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="587" name="Constant_146662_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="474580664" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11855,11 +9798,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="Constant_24977" type="Convert" version="opset1">
+		<layer id="588" name="Constant_146662" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11876,11 +9818,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="/roberta/encoder/layer.6/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="589" name="__module.roberta.encoder.layer.6.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11894,18 +9833,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="Constant_24978_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="474643688" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="590" name="Constant_146663_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="474582200" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -11914,11 +9850,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="Constant_24978" type="Convert" version="opset1">
+		<layer id="591" name="Constant_146663" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11935,11 +9870,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="630" name="/roberta/encoder/layer.6/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="592" name="__module.roberta.encoder.layer.6.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11953,18 +9885,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="612,input_tensor.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="Constant_24563_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="474645224" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/intermediate/dense/MatMul, onnx::MatMul_1645" />
-			</rt_info>
+		<layer id="593" name="self.roberta.encoder.layer.6.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="474583736" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -11972,11 +9901,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="Constant_24563" type="Convert" version="opset1">
+		<layer id="594" name="self.roberta.encoder.layer.6.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/intermediate/dense/MatMul, onnx::MatMul_1645" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -11985,17 +9913,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="633" name="/roberta/encoder/layer.6/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="595" name="__module.roberta.encoder.layer.6.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/intermediate/dense/MatMul, onnx::MatMul_1645" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12008,43 +9933,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="/roberta/encoder/layer.6/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="596" name="Constant_146664_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="479302328" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="Constant_146664" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="__module.roberta.encoder.layer.6.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="616">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="635" name="/roberta/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="599" name="__module.roberta.encoder.layer.6.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.6/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.6/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.6/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12053,18 +10002,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="617">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="Constant_24568_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="479363816" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/dense/MatMul, onnx::MatMul_1646" />
-			</rt_info>
+		<layer id="600" name="self.roberta.encoder.layer.6.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="479308472" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -12072,11 +10018,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="Constant_24568" type="Convert" version="opset1">
+		<layer id="601" name="self.roberta.encoder.layer.6.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/dense/MatMul, onnx::MatMul_1646" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12085,17 +10030,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.6.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="/roberta/encoder/layer.6/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="602" name="__module.roberta.encoder.layer.6.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/dense/MatMul, onnx::MatMul_1646" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12108,43 +10050,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="/roberta/encoder/layer.6/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="603" name="Constant_146665_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="484027064" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="Constant_146665" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="__module.roberta.encoder.layer.6.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="622,input.57">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="/roberta/encoder/layer.6/output/Add" type="Add" version="opset1">
+		<layer id="606" name="__module.roberta.encoder.layer.6.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12158,52 +10124,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/Add_output_0">
+				<port id="2" precision="FP32" names="624">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="Constant_1444" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1444" />
-			</rt_info>
+		<layer id="607" name="__module.roberta.encoder.layer.6.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="/roberta/encoder/layer.6/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="608" name="__module.roberta.encoder.layer.6.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/LayerNorm/Add, /roberta/encoder/layer.6/output/LayerNorm/Div, /roberta/encoder/layer.6/output/LayerNorm/Pow, /roberta/encoder/layer.6/output/LayerNorm/ReduceMean, /roberta/encoder/layer.6/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.6/output/LayerNorm/Sqrt, /roberta/encoder/layer.6/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="Constant_24981_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="484082408" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="609" name="Constant_146666_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="484028600" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12212,11 +10169,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="Constant_24981" type="Convert" version="opset1">
+		<layer id="610" name="Constant_146666" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12233,11 +10189,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="/roberta/encoder/layer.6/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="611" name="__module.roberta.encoder.layer.6.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12251,18 +10204,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="646" name="Constant_24982_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="484083944" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="612" name="Constant_146667_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="484030136" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12271,11 +10221,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="647" name="Constant_24982" type="Convert" version="opset1">
+		<layer id="613" name="Constant_146667" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.6.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12292,11 +10241,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="/roberta/encoder/layer.6/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="614" name="__module.roberta.encoder.layer.6.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.6/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12310,18 +10256,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.6/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="628,input_tensor.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="Constant_24573_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="484085480" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/query/MatMul, onnx::MatMul_1647" />
-			</rt_info>
+		<layer id="615" name="self.roberta.encoder.layer.7.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="484031672" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -12329,11 +10272,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="Constant_24573" type="Convert" version="opset1">
+		<layer id="616" name="self.roberta.encoder.layer.7.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/query/MatMul, onnx::MatMul_1647" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12342,17 +10284,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="/roberta/encoder/layer.7/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="617" name="__module.roberta.encoder.layer.7.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/query/MatMul, onnx::MatMul_1647" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12365,77 +10304,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="/roberta/encoder/layer.7/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="618" name="Constant_146668_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="485211320" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="Constant_146668" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/query/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="/roberta/encoder/layer.7/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Concat_2, /roberta/encoder/layer.7/attention/self/Constant_10, /roberta/encoder/layer.7/attention/self/Constant_11" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="654" name="/roberta/encoder/layer.7/attention/self/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Reshape_2" />
-			</rt_info>
+		<layer id="620" name="__module.roberta.encoder.layer.7.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="639,x.93">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>64</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="Constant_1543" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
+		<layer id="621" name="__module.roberta.encoder.layer.7.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1543" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -12443,69 +10374,58 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="/roberta/encoder/layer.7/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="622" name="__module.roberta.encoder.layer.7.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>64</dim>
+					<dim>768</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="661,x.95">
 					<dim>-1</dim>
-					<dim>12</dim>
 					<dim>-1</dim>
+					<dim>12</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="Constant_24984_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="485265128" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.self.key.bias" />
-			</rt_info>
+		<layer id="623" name="Constant_140776" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="0" precision="I64" names="662">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="Constant_24984" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.self.key.bias" />
-			</rt_info>
+		<layer id="624" name="__module.roberta.encoder.layer.7.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="663">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="Constant_24577_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="485266664" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/key/MatMul, onnx::MatMul_1648" />
-			</rt_info>
+		<layer id="625" name="self.roberta.encoder.layer.7.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="485212856" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -12513,11 +10433,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="660" name="Constant_24577" type="Convert" version="opset1">
+		<layer id="626" name="self.roberta.encoder.layer.7.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/key/MatMul, onnx::MatMul_1648" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12526,17 +10445,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="/roberta/encoder/layer.7/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="627" name="__module.roberta.encoder.layer.7.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/key/MatMul, onnx::MatMul_1648" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12549,42 +10465,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="/roberta/encoder/layer.7/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="628" name="Constant_146669_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="486392504" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="Constant_146669" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="__module.roberta.encoder.layer.7.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="642,x.85">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="663" name="/roberta/encoder/layer.7/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="631" name="__module.roberta.encoder.layer.7.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Concat, /roberta/encoder/layer.7/attention/self/Constant_2, /roberta/encoder/layer.7/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -12592,11 +10535,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="/roberta/encoder/layer.7/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="632" name="__module.roberta.encoder.layer.7.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12608,7 +10548,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="646,x.87">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -12616,21 +10556,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="Constant_1545" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1545" />
-			</rt_info>
+		<layer id="633" name="Constant_140736" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="647">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="666" name="/roberta/encoder/layer.7/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="634" name="__module.roberta.encoder.layer.7.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12643,19 +10577,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="648,key_layer.15">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="667" name="Constant_24985_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Constant_12, /roberta/encoder/layer.7/attention/self/Div" />
-			</rt_info>
+		<layer id="635" name="Constant_151011_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -12665,11 +10596,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="Constant_24985" type="Convert" version="opset1">
+		<layer id="636" name="Constant_151011" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Constant_12, /roberta/encoder/layer.7/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12688,17 +10618,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="Multiply_24768" type="Multiply" version="opset1">
+		<layer id="637" name="Multiply_151043" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Constant_12, /roberta/encoder/layer.7/attention/self/Div, /roberta/encoder/layer.7/attention/self/MatMul, /roberta/encoder/layer.7/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -12711,16 +10638,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="670" name="/roberta/encoder/layer.7/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Constant_12, /roberta/encoder/layer.7/attention/self/Div, /roberta/encoder/layer.7/attention/self/MatMul, /roberta/encoder/layer.7/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="638" name="__module.roberta.encoder.layer.7.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12731,12 +10655,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="666,attention_scores.31">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -12744,11 +10668,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="671" name="/roberta/encoder/layer.7/attention/self/Add" type="Add" version="opset1">
+		<layer id="639" name="__module.roberta.encoder.layer.7.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12764,7 +10685,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="667,input.59">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -12772,11 +10693,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="/roberta/encoder/layer.7/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Softmax" />
-			</rt_info>
+		<layer id="640" name="__module.roberta.encoder.layer.7.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12786,7 +10704,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="668,input.61">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -12794,45 +10712,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="673" name="Constant_24986_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="486446312" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="674" name="Constant_24986" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="675" name="Constant_24581_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="486447848" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/value/MatMul, onnx::MatMul_1651" />
-			</rt_info>
+		<layer id="641" name="self.roberta.encoder.layer.7.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="486394040" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -12840,11 +10721,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="Constant_24581" type="Convert" version="opset1">
+		<layer id="642" name="self.roberta.encoder.layer.7.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/value/MatMul, onnx::MatMul_1651" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -12853,17 +10733,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="/roberta/encoder/layer.7/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="643" name="__module.roberta.encoder.layer.7.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/value/MatMul, onnx::MatMul_1651" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12876,42 +10753,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="/roberta/encoder/layer.7/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="644" name="Constant_146671_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="487573688" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="Constant_146671" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="__module.roberta.encoder.layer.7.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="651,x.89">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="/roberta/encoder/layer.7/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="647" name="__module.roberta.encoder.layer.7.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Concat_1, /roberta/encoder/layer.7/attention/self/Constant_6, /roberta/encoder/layer.7/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -12919,11 +10823,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="680" name="/roberta/encoder/layer.7/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="648" name="__module.roberta.encoder.layer.7.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12935,7 +10836,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="655,x.91">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -12943,21 +10844,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="681" name="Constant_1515" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1515" />
-			</rt_info>
+		<layer id="649" name="Constant_140759" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="656">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="682" name="/roberta/encoder/layer.7/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Transpose" />
-			</rt_info>
+		<layer id="650" name="__module.roberta.encoder.layer.7.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12970,7 +10865,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="657">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -12978,11 +10873,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="/roberta/encoder/layer.7/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="651" name="__module.roberta.encoder.layer.7.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12998,7 +10890,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="670,context_layer.29">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -13006,21 +10898,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="Constant_1553" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1553" />
-			</rt_info>
+		<layer id="652" name="Constant_140833" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="671">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="/roberta/encoder/layer.7/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="653" name="__module.roberta.encoder.layer.7.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13033,7 +10919,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="672">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -13041,10 +10927,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="686" name="/roberta/encoder/layer.7/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="654" name="__module.roberta.encoder.layer.7.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Concat_3, /roberta/encoder/layer.7/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -13052,11 +10938,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="687" name="/roberta/encoder/layer.7/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="655" name="__module.roberta.encoder.layer.7.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13069,18 +10952,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="677">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="688" name="Constant_24585_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="487627496" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/dense/MatMul, onnx::MatMul_1657" />
-			</rt_info>
+		<layer id="656" name="self.roberta.encoder.layer.7.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="487575224" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -13088,11 +10968,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="689" name="Constant_24585" type="Convert" version="opset1">
+		<layer id="657" name="self.roberta.encoder.layer.7.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/dense/MatMul, onnx::MatMul_1657" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13101,17 +10980,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="/roberta/encoder/layer.7/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="658" name="__module.roberta.encoder.layer.7.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/dense/MatMul, onnx::MatMul_1657" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13124,43 +11000,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="691" name="/roberta/encoder/layer.7/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="659" name="Constant_146672_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="488754872" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="Constant_146672" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="__module.roberta.encoder.layer.7.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="682,input.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="692" name="/roberta/encoder/layer.7/attention/output/Add" type="Add" version="opset1">
+		<layer id="662" name="__module.roberta.encoder.layer.7.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13174,52 +11074,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="684">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="693" name="Constant_1583" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1583" />
-			</rt_info>
+		<layer id="663" name="__module.roberta.encoder.layer.7.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="694" name="/roberta/encoder/layer.7/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="664" name="__module.roberta.encoder.layer.7.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/LayerNorm/Add, /roberta/encoder/layer.7/attention/output/LayerNorm/Div, /roberta/encoder/layer.7/attention/output/LayerNorm/Pow, /roberta/encoder/layer.7/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.7/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.7/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.7/attention/output/LayerNorm/Sub" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="695" name="Constant_24988_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="488807144" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="665" name="Constant_146673_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="488756408" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13228,11 +11119,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="696" name="Constant_24988" type="Convert" version="opset1">
+		<layer id="666" name="Constant_146673" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13249,11 +11139,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="697" name="/roberta/encoder/layer.7/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="667" name="__module.roberta.encoder.layer.7.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13267,18 +11154,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="698" name="Constant_24989_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="488808680" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="668" name="Constant_146674_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="488757944" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13287,11 +11171,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="Constant_24989" type="Convert" version="opset1">
+		<layer id="669" name="Constant_146674" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13308,11 +11191,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="/roberta/encoder/layer.7/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="670" name="__module.roberta.encoder.layer.7.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13326,18 +11206,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="688,input_tensor.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="701" name="Constant_24590_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="488810216" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/intermediate/dense/MatMul, onnx::MatMul_1658" />
-			</rt_info>
+		<layer id="671" name="self.roberta.encoder.layer.7.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="488759480" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -13345,11 +11222,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="702" name="Constant_24590" type="Convert" version="opset1">
+		<layer id="672" name="self.roberta.encoder.layer.7.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/intermediate/dense/MatMul, onnx::MatMul_1658" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13358,17 +11234,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="703" name="/roberta/encoder/layer.7/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="673" name="__module.roberta.encoder.layer.7.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/intermediate/dense/MatMul, onnx::MatMul_1658" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13381,43 +11254,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="/roberta/encoder/layer.7/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="674" name="Constant_146675_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="493478072" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="Constant_146675" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="__module.roberta.encoder.layer.7.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="692">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="705" name="/roberta/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="677" name="__module.roberta.encoder.layer.7.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.7/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.7/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.7/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13426,18 +11323,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="693">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="706" name="Constant_24595_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="493528808" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/dense/MatMul, onnx::MatMul_1659" />
-			</rt_info>
+		<layer id="678" name="self.roberta.encoder.layer.7.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="493484216" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -13445,11 +11339,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="707" name="Constant_24595" type="Convert" version="opset1">
+		<layer id="679" name="self.roberta.encoder.layer.7.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/dense/MatMul, onnx::MatMul_1659" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13458,17 +11351,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.7.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="/roberta/encoder/layer.7/output/dense/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/dense/MatMul, onnx::MatMul_1659" />
-			</rt_info>
+		<layer id="680" name="__module.roberta.encoder.layer.7.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13481,43 +11371,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="/roberta/encoder/layer.7/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="681" name="Constant_146676_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="498202808" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="Constant_146676" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="__module.roberta.encoder.layer.7.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="698,input.65">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="710" name="/roberta/encoder/layer.7/output/Add" type="Add" version="opset1">
+		<layer id="684" name="__module.roberta.encoder.layer.7.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13531,52 +11445,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/Add_output_0">
+				<port id="2" precision="FP32" names="700">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="711" name="Constant_1609" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1609" />
-			</rt_info>
+		<layer id="685" name="__module.roberta.encoder.layer.7.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="712" name="/roberta/encoder/layer.7/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="686" name="__module.roberta.encoder.layer.7.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/LayerNorm/Add, /roberta/encoder/layer.7/output/LayerNorm/Div, /roberta/encoder/layer.7/output/LayerNorm/Pow, /roberta/encoder/layer.7/output/LayerNorm/ReduceMean, /roberta/encoder/layer.7/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.7/output/LayerNorm/Sqrt, /roberta/encoder/layer.7/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="713" name="Constant_24992_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="498247400" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="687" name="Constant_146677_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="498204344" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13585,11 +11490,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="714" name="Constant_24992" type="Convert" version="opset1">
+		<layer id="688" name="Constant_146677" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13606,11 +11510,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="/roberta/encoder/layer.7/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="689" name="__module.roberta.encoder.layer.7.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/LayerNorm/Mul" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13624,18 +11525,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="716" name="Constant_24993_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="498248936" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="690" name="Constant_146678_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="498205880" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -13644,11 +11542,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="Constant_24993" type="Convert" version="opset1">
+		<layer id="691" name="Constant_146678" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.7.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13665,11 +11562,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="/roberta/encoder/layer.7/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="692" name="__module.roberta.encoder.layer.7.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.7/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13683,18 +11577,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.7/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="704,input_tensor.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="Constant_24600_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="498250472" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/query/MatMul, onnx::MatMul_1660" />
-			</rt_info>
+		<layer id="693" name="self.roberta.encoder.layer.8.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="498207416" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -13702,11 +11593,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="Constant_24600" type="Convert" version="opset1">
+		<layer id="694" name="self.roberta.encoder.layer.8.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/query/MatMul, onnx::MatMul_1660" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13715,17 +11605,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="/roberta/encoder/layer.8/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="695" name="__module.roberta.encoder.layer.8.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/query/MatMul, onnx::MatMul_1660" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13738,42 +11625,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="722" name="/roberta/encoder/layer.8/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="696" name="Constant_146679_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="499387064" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="Constant_146679" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="__module.roberta.encoder.layer.8.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="715,x.105">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="/roberta/encoder/layer.8/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="699" name="__module.roberta.encoder.layer.8.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Concat_2, /roberta/encoder/layer.8/attention/self/Constant_10, /roberta/encoder/layer.8/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -13781,11 +11695,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="724" name="/roberta/encoder/layer.8/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="700" name="__module.roberta.encoder.layer.8.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13797,7 +11708,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="737,x.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -13805,21 +11716,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="725" name="Constant_1708" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1708" />
-			</rt_info>
+		<layer id="701" name="Constant_140981" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="738">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="726" name="/roberta/encoder/layer.8/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="702" name="__module.roberta.encoder.layer.8.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13832,7 +11737,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="739">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -13840,45 +11745,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="Constant_24995_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="499430120" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="728" name="Constant_24995" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="729" name="Constant_24604_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="499431656" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/key/MatMul, onnx::MatMul_1661" />
-			</rt_info>
+		<layer id="703" name="self.roberta.encoder.layer.8.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="499388600" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -13886,11 +11754,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="Constant_24604" type="Convert" version="opset1">
+		<layer id="704" name="self.roberta.encoder.layer.8.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/key/MatMul, onnx::MatMul_1661" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -13899,17 +11766,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="/roberta/encoder/layer.8/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="705" name="__module.roberta.encoder.layer.8.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/key/MatMul, onnx::MatMul_1661" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13922,42 +11786,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="732" name="/roberta/encoder/layer.8/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="706" name="Constant_146680_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="500568248" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="707" name="Constant_146680" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="__module.roberta.encoder.layer.8.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="718,x.97">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="/roberta/encoder/layer.8/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="709" name="__module.roberta.encoder.layer.8.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Concat, /roberta/encoder/layer.8/attention/self/Constant_2, /roberta/encoder/layer.8/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -13965,11 +11856,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="/roberta/encoder/layer.8/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="710" name="__module.roberta.encoder.layer.8.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13981,7 +11869,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="722,x.99">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -13989,21 +11877,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="Constant_1710" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1710" />
-			</rt_info>
+		<layer id="711" name="Constant_140941" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="723">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="/roberta/encoder/layer.8/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="712" name="__module.roberta.encoder.layer.8.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14016,19 +11898,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="724,key_layer.17">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="Constant_24996_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Constant_12, /roberta/encoder/layer.8/attention/self/Div" />
-			</rt_info>
+		<layer id="713" name="Constant_151015_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -14038,11 +11917,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="738" name="Constant_24996" type="Convert" version="opset1">
+		<layer id="714" name="Constant_151015" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Constant_12, /roberta/encoder/layer.8/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14061,17 +11939,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="739" name="Multiply_24770" type="Multiply" version="opset1">
+		<layer id="715" name="Multiply_151045" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Constant_12, /roberta/encoder/layer.8/attention/self/Div, /roberta/encoder/layer.8/attention/self/MatMul, /roberta/encoder/layer.8/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -14084,16 +11959,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="740" name="/roberta/encoder/layer.8/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Constant_12, /roberta/encoder/layer.8/attention/self/Div, /roberta/encoder/layer.8/attention/self/MatMul, /roberta/encoder/layer.8/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="716" name="__module.roberta.encoder.layer.8.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14104,12 +11976,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="742,attention_scores.35">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -14117,11 +11989,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="741" name="/roberta/encoder/layer.8/attention/self/Add" type="Add" version="opset1">
+		<layer id="717" name="__module.roberta.encoder.layer.8.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14137,7 +12006,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="743,input.67">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -14145,11 +12014,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="742" name="/roberta/encoder/layer.8/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Softmax" />
-			</rt_info>
+		<layer id="718" name="__module.roberta.encoder.layer.8.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14159,7 +12025,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="744,input.69">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -14167,45 +12033,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="743" name="Constant_24997_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="500611304" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="744" name="Constant_24997" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="745" name="Constant_24608_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="500612840" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/value/MatMul, onnx::MatMul_1664" />
-			</rt_info>
+		<layer id="719" name="self.roberta.encoder.layer.8.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="500569784" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -14213,11 +12042,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="746" name="Constant_24608" type="Convert" version="opset1">
+		<layer id="720" name="self.roberta.encoder.layer.8.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/value/MatMul, onnx::MatMul_1664" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14226,17 +12054,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="/roberta/encoder/layer.8/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="721" name="__module.roberta.encoder.layer.8.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/value/MatMul, onnx::MatMul_1664" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14249,42 +12074,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="/roberta/encoder/layer.8/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="722" name="Constant_146682_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="501749432" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="723" name="Constant_146682" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="724" name="__module.roberta.encoder.layer.8.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="727,x.101">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="/roberta/encoder/layer.8/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="725" name="__module.roberta.encoder.layer.8.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Concat_1, /roberta/encoder/layer.8/attention/self/Constant_6, /roberta/encoder/layer.8/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -14292,11 +12144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="/roberta/encoder/layer.8/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="726" name="__module.roberta.encoder.layer.8.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14308,7 +12157,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="731,x.103">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -14316,21 +12165,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="Constant_1680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1680" />
-			</rt_info>
+		<layer id="727" name="Constant_140964" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="732">
 					<dim>4</dim>
 				</port>
 			</output>
-		</layer>
-		<layer id="752" name="/roberta/encoder/layer.8/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Transpose" />
-			</rt_info>
+		</layer>
+		<layer id="728" name="__module.roberta.encoder.layer.8.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14343,7 +12186,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="733">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -14351,11 +12194,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="/roberta/encoder/layer.8/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="729" name="__module.roberta.encoder.layer.8.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14371,7 +12211,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="746,context_layer.33">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -14379,21 +12219,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="Constant_1718" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1718" />
-			</rt_info>
+		<layer id="730" name="Constant_141038" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="747">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="/roberta/encoder/layer.8/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="731" name="__module.roberta.encoder.layer.8.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14406,7 +12240,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="748">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -14414,10 +12248,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="756" name="/roberta/encoder/layer.8/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="732" name="__module.roberta.encoder.layer.8.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Concat_3, /roberta/encoder/layer.8/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -14425,11 +12259,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="757" name="/roberta/encoder/layer.8/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="733" name="__module.roberta.encoder.layer.8.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14442,18 +12273,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="753">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="758" name="Constant_24612_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="501792488" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/dense/MatMul, onnx::MatMul_1670" />
-			</rt_info>
+		<layer id="734" name="self.roberta.encoder.layer.8.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="501750968" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -14461,11 +12289,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="759" name="Constant_24612" type="Convert" version="opset1">
+		<layer id="735" name="self.roberta.encoder.layer.8.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/dense/MatMul, onnx::MatMul_1670" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14474,17 +12301,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="/roberta/encoder/layer.8/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="736" name="__module.roberta.encoder.layer.8.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/dense/MatMul, onnx::MatMul_1670" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14497,43 +12321,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="/roberta/encoder/layer.8/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="737" name="Constant_146683_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="502930616" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="738" name="Constant_146683" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="__module.roberta.encoder.layer.8.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="758,input.71">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="/roberta/encoder/layer.8/attention/output/Add" type="Add" version="opset1">
+		<layer id="740" name="__module.roberta.encoder.layer.8.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14547,52 +12395,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="760">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="763" name="Constant_1748" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1748" />
-			</rt_info>
+		<layer id="741" name="__module.roberta.encoder.layer.8.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="764" name="/roberta/encoder/layer.8/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="742" name="__module.roberta.encoder.layer.8.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/LayerNorm/Add, /roberta/encoder/layer.8/attention/output/LayerNorm/Div, /roberta/encoder/layer.8/attention/output/LayerNorm/Pow, /roberta/encoder/layer.8/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.8/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.8/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.8/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="Constant_24999_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="502972136" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="743" name="Constant_146684_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="502932152" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -14601,11 +12440,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="Constant_24999" type="Convert" version="opset1">
+		<layer id="744" name="Constant_146684" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14622,11 +12460,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="767" name="/roberta/encoder/layer.8/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="745" name="__module.roberta.encoder.layer.8.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14640,18 +12475,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="Constant_25000_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="502973672" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="746" name="Constant_146685_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="502933688" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -14660,11 +12492,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="769" name="Constant_25000" type="Convert" version="opset1">
+		<layer id="747" name="Constant_146685" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14681,11 +12512,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="770" name="/roberta/encoder/layer.8/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="748" name="__module.roberta.encoder.layer.8.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14699,18 +12527,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="764,input_tensor.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="771" name="Constant_24617_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="502975208" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/intermediate/dense/MatMul, onnx::MatMul_1671" />
-			</rt_info>
+		<layer id="749" name="self.roberta.encoder.layer.8.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="502935224" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -14718,11 +12543,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="772" name="Constant_24617" type="Convert" version="opset1">
+		<layer id="750" name="self.roberta.encoder.layer.8.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/intermediate/dense/MatMul, onnx::MatMul_1671" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14731,17 +12555,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="773" name="/roberta/encoder/layer.8/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="751" name="__module.roberta.encoder.layer.8.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/intermediate/dense/MatMul, onnx::MatMul_1671" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14754,43 +12575,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="774" name="/roberta/encoder/layer.8/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="752" name="Constant_146686_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="507653816" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="Constant_146686" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="754" name="__module.roberta.encoder.layer.8.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="768">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="775" name="/roberta/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="755" name="__module.roberta.encoder.layer.8.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.8/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.8/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.8/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14799,18 +12644,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="769">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="776" name="Constant_24622_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="507693800" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/dense/MatMul, onnx::MatMul_1672" />
-			</rt_info>
+		<layer id="756" name="self.roberta.encoder.layer.8.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="507659960" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -14818,11 +12660,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="777" name="Constant_24622" type="Convert" version="opset1">
+		<layer id="757" name="self.roberta.encoder.layer.8.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/dense/MatMul, onnx::MatMul_1672" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14831,17 +12672,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.8.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="778" name="/roberta/encoder/layer.8/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="758" name="__module.roberta.encoder.layer.8.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/dense/MatMul, onnx::MatMul_1672" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14854,43 +12692,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="779" name="/roberta/encoder/layer.8/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="759" name="Constant_146687_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="512378552" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="Constant_146687" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="761" name="__module.roberta.encoder.layer.8.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="774,input.73">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="780" name="/roberta/encoder/layer.8/output/Add" type="Add" version="opset1">
+		<layer id="762" name="__module.roberta.encoder.layer.8.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14904,52 +12766,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/Add_output_0">
+				<port id="2" precision="FP32" names="776">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="781" name="Constant_1774" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1774" />
-			</rt_info>
+		<layer id="763" name="__module.roberta.encoder.layer.8.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="782" name="/roberta/encoder/layer.8/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="764" name="__module.roberta.encoder.layer.8.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/LayerNorm/Add, /roberta/encoder/layer.8/output/LayerNorm/Div, /roberta/encoder/layer.8/output/LayerNorm/Pow, /roberta/encoder/layer.8/output/LayerNorm/ReduceMean, /roberta/encoder/layer.8/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.8/output/LayerNorm/Sqrt, /roberta/encoder/layer.8/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="783" name="Constant_25003_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="512412392" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="765" name="Constant_146688_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="512380088" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -14958,11 +12811,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="Constant_25003" type="Convert" version="opset1">
+		<layer id="766" name="Constant_146688" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -14979,11 +12831,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="/roberta/encoder/layer.8/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="767" name="__module.roberta.encoder.layer.8.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14997,18 +12846,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="Constant_25004_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="512413928" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="768" name="Constant_146689_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="512381624" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -15017,11 +12863,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="Constant_25004" type="Convert" version="opset1">
+		<layer id="769" name="Constant_146689" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.8.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15038,11 +12883,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="788" name="/roberta/encoder/layer.8/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="770" name="__module.roberta.encoder.layer.8.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.8/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15056,18 +12898,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.8/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="780,input_tensor.37">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="Constant_24627_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="512415464" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/query/MatMul, onnx::MatMul_1673" />
-			</rt_info>
+		<layer id="771" name="self.roberta.encoder.layer.9.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="512383160" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -15075,11 +12914,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="790" name="Constant_24627" type="Convert" version="opset1">
+		<layer id="772" name="self.roberta.encoder.layer.9.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/query/MatMul, onnx::MatMul_1673" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15088,17 +12926,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="/roberta/encoder/layer.9/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="773" name="__module.roberta.encoder.layer.9.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/query/MatMul, onnx::MatMul_1673" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15111,42 +12946,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="/roberta/encoder/layer.9/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="774" name="Constant_146690_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="513562808" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="Constant_146690" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="__module.roberta.encoder.layer.9.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="791,x.117">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="793" name="/roberta/encoder/layer.9/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="777" name="__module.roberta.encoder.layer.9.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Concat_2, /roberta/encoder/layer.9/attention/self/Constant_10, /roberta/encoder/layer.9/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -15154,11 +13016,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="794" name="/roberta/encoder/layer.9/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="778" name="__module.roberta.encoder.layer.9.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15170,7 +13029,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="813,x.119">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -15178,21 +13037,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="795" name="Constant_1873" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1873" />
-			</rt_info>
+		<layer id="779" name="Constant_141186" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="814">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="796" name="/roberta/encoder/layer.9/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="780" name="__module.roberta.encoder.layer.9.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15205,7 +13058,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="815">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15213,124 +13066,110 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="797" name="Constant_25006_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="513595112" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.self.key.bias" />
-			</rt_info>
+		<layer id="781" name="self.roberta.encoder.layer.9.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="513564344" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="798" name="Constant_25006" type="Convert" version="opset1">
+		<layer id="782" name="self.roberta.encoder.layer.9.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.self.key.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>768</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="799" name="Constant_24631_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="513596648" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/key/MatMul, onnx::MatMul_1674" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="FP16">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="800" name="Constant_24631" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/key/MatMul, onnx::MatMul_1674" />
-			</rt_info>
+		<layer id="783" name="__module.roberta.encoder.layer.9.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="784" name="Constant_146691_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="514743992" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="/roberta/encoder/layer.9/attention/self/key/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="785" name="Constant_146691" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/key/MatMul, onnx::MatMul_1674" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/key/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="802" name="/roberta/encoder/layer.9/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="786" name="__module.roberta.encoder.layer.9.attention.self.key/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/key/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="794,x.109">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="803" name="/roberta/encoder/layer.9/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="787" name="__module.roberta.encoder.layer.9.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Concat, /roberta/encoder/layer.9/attention/self/Constant_2, /roberta/encoder/layer.9/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -15338,11 +13177,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="804" name="/roberta/encoder/layer.9/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="788" name="__module.roberta.encoder.layer.9.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15354,7 +13190,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="798,x.111">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -15362,21 +13198,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="805" name="Constant_1875" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1875" />
-			</rt_info>
+		<layer id="789" name="Constant_141146" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="799">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="806" name="/roberta/encoder/layer.9/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="790" name="__module.roberta.encoder.layer.9.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15389,19 +13219,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="800,key_layer.19">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="807" name="Constant_25007_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Constant_12, /roberta/encoder/layer.9/attention/self/Div" />
-			</rt_info>
+		<layer id="791" name="Constant_151019_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -15411,11 +13238,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="Constant_25007" type="Convert" version="opset1">
+		<layer id="792" name="Constant_151019" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Constant_12, /roberta/encoder/layer.9/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15434,17 +13260,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="809" name="Multiply_24772" type="Multiply" version="opset1">
+		<layer id="793" name="Multiply_151047" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Constant_12, /roberta/encoder/layer.9/attention/self/Div, /roberta/encoder/layer.9/attention/self/MatMul, /roberta/encoder/layer.9/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -15457,16 +13280,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="/roberta/encoder/layer.9/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Constant_12, /roberta/encoder/layer.9/attention/self/Div, /roberta/encoder/layer.9/attention/self/MatMul, /roberta/encoder/layer.9/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="794" name="__module.roberta.encoder.layer.9.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15477,12 +13297,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="818,attention_scores.39">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15490,11 +13310,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="811" name="/roberta/encoder/layer.9/attention/self/Add" type="Add" version="opset1">
+		<layer id="795" name="__module.roberta.encoder.layer.9.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15510,7 +13327,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="819,input.75">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15518,11 +13335,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="/roberta/encoder/layer.9/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Softmax" />
-			</rt_info>
+		<layer id="796" name="__module.roberta.encoder.layer.9.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15532,7 +13346,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="820,input.77">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15540,45 +13354,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="813" name="Constant_25008_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="514776296" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="814" name="Constant_25008" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="815" name="Constant_24635_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="514777832" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/value/MatMul, onnx::MatMul_1677" />
-			</rt_info>
+		<layer id="797" name="self.roberta.encoder.layer.9.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="514745528" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -15586,11 +13363,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="Constant_24635" type="Convert" version="opset1">
+		<layer id="798" name="self.roberta.encoder.layer.9.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/value/MatMul, onnx::MatMul_1677" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15599,17 +13375,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="817" name="/roberta/encoder/layer.9/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="799" name="__module.roberta.encoder.layer.9.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/value/MatMul, onnx::MatMul_1677" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15622,42 +13395,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="/roberta/encoder/layer.9/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="800" name="Constant_146693_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="515925176" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="801" name="Constant_146693" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="802" name="__module.roberta.encoder.layer.9.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="803,x.113">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="819" name="/roberta/encoder/layer.9/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="803" name="__module.roberta.encoder.layer.9.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Concat_1, /roberta/encoder/layer.9/attention/self/Constant_6, /roberta/encoder/layer.9/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -15665,11 +13465,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="820" name="/roberta/encoder/layer.9/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="804" name="__module.roberta.encoder.layer.9.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15681,7 +13478,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="807,x.115">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -15689,21 +13486,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="821" name="Constant_1845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1845" />
-			</rt_info>
+		<layer id="805" name="Constant_141169" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="808">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="822" name="/roberta/encoder/layer.9/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Transpose" />
-			</rt_info>
+		<layer id="806" name="__module.roberta.encoder.layer.9.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15716,7 +13507,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="809">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15724,11 +13515,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="823" name="/roberta/encoder/layer.9/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="807" name="__module.roberta.encoder.layer.9.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15744,7 +13532,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="822,context_layer.37">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -15752,21 +13540,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="824" name="Constant_1883" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1883" />
-			</rt_info>
+		<layer id="808" name="Constant_141243" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="823">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="825" name="/roberta/encoder/layer.9/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="809" name="__module.roberta.encoder.layer.9.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15779,7 +13561,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="824">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -15787,10 +13569,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="/roberta/encoder/layer.9/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="810" name="__module.roberta.encoder.layer.9.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Concat_3, /roberta/encoder/layer.9/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -15798,11 +13580,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="827" name="/roberta/encoder/layer.9/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="811" name="__module.roberta.encoder.layer.9.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15815,18 +13594,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="829">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="828" name="Constant_24639_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="515957480" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/dense/MatMul, onnx::MatMul_1683" />
-			</rt_info>
+		<layer id="812" name="self.roberta.encoder.layer.9.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="515926712" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -15834,11 +13610,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="Constant_24639" type="Convert" version="opset1">
+		<layer id="813" name="self.roberta.encoder.layer.9.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/dense/MatMul, onnx::MatMul_1683" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15847,17 +13622,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="830" name="/roberta/encoder/layer.9/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="814" name="__module.roberta.encoder.layer.9.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/dense/MatMul, onnx::MatMul_1683" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15870,43 +13642,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="831" name="/roberta/encoder/layer.9/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="815" name="Constant_146694_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="517106360" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="816" name="Constant_146694" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="__module.roberta.encoder.layer.9.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="834,input.79">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="832" name="/roberta/encoder/layer.9/attention/output/Add" type="Add" version="opset1">
+		<layer id="818" name="__module.roberta.encoder.layer.9.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15920,52 +13716,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="836">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="833" name="Constant_1913" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1913" />
-			</rt_info>
+		<layer id="819" name="__module.roberta.encoder.layer.9.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="834" name="/roberta/encoder/layer.9/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="820" name="__module.roberta.encoder.layer.9.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/LayerNorm/Add, /roberta/encoder/layer.9/attention/output/LayerNorm/Div, /roberta/encoder/layer.9/attention/output/LayerNorm/Pow, /roberta/encoder/layer.9/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.9/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.9/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.9/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="835" name="Constant_25010_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="517137128" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="821" name="Constant_146695_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="517107896" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -15974,11 +13761,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="836" name="Constant_25010" type="Convert" version="opset1">
+		<layer id="822" name="Constant_146695" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -15995,11 +13781,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="837" name="/roberta/encoder/layer.9/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="823" name="__module.roberta.encoder.layer.9.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16013,18 +13796,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="838" name="Constant_25011_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="517138664" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="824" name="Constant_146696_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="517109432" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16033,11 +13813,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="839" name="Constant_25011" type="Convert" version="opset1">
+		<layer id="825" name="Constant_146696" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16054,11 +13833,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="840" name="/roberta/encoder/layer.9/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="826" name="__module.roberta.encoder.layer.9.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16072,18 +13848,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="840,input_tensor.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="841" name="Constant_24644_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="517140200" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/intermediate/dense/MatMul, onnx::MatMul_1684" />
-			</rt_info>
+		<layer id="827" name="self.roberta.encoder.layer.9.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="517110968" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -16091,11 +13864,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="842" name="Constant_24644" type="Convert" version="opset1">
+		<layer id="828" name="self.roberta.encoder.layer.9.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/intermediate/dense/MatMul, onnx::MatMul_1684" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16104,17 +13876,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="843" name="/roberta/encoder/layer.9/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="829" name="__module.roberta.encoder.layer.9.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/intermediate/dense/MatMul, onnx::MatMul_1684" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16127,43 +13896,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="844" name="/roberta/encoder/layer.9/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="830" name="Constant_146697_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="521829560" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="Constant_146697" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="__module.roberta.encoder.layer.9.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="844">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="845" name="/roberta/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="833" name="__module.roberta.encoder.layer.9.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.9/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.9/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.9/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16172,18 +13965,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="845">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="846" name="Constant_24649_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="521858792" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/dense/MatMul, onnx::MatMul_1685" />
-			</rt_info>
+		<layer id="834" name="self.roberta.encoder.layer.9.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="521835704" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -16191,11 +13981,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="847" name="Constant_24649" type="Convert" version="opset1">
+		<layer id="835" name="self.roberta.encoder.layer.9.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/dense/MatMul, onnx::MatMul_1685" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16204,17 +13993,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.9.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="848" name="/roberta/encoder/layer.9/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="836" name="__module.roberta.encoder.layer.9.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/dense/MatMul, onnx::MatMul_1685" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16227,43 +14013,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="849" name="/roberta/encoder/layer.9/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="837" name="Constant_146698_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="526554296" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="Constant_146698" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="__module.roberta.encoder.layer.9.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="850,input.81">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="850" name="/roberta/encoder/layer.9/output/Add" type="Add" version="opset1">
+		<layer id="840" name="__module.roberta.encoder.layer.9.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16277,52 +14087,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/Add_output_0">
+				<port id="2" precision="FP32" names="852">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="851" name="Constant_1939" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1939" />
-			</rt_info>
+		<layer id="841" name="__module.roberta.encoder.layer.9.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="852" name="/roberta/encoder/layer.9/output/LayerNorm/Div" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/LayerNorm/Add, /roberta/encoder/layer.9/output/LayerNorm/Div, /roberta/encoder/layer.9/output/LayerNorm/Pow, /roberta/encoder/layer.9/output/LayerNorm/ReduceMean, /roberta/encoder/layer.9/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.9/output/LayerNorm/Sqrt, /roberta/encoder/layer.9/output/LayerNorm/Sub" />
-			</rt_info>
+		<layer id="842" name="__module.roberta.encoder.layer.9.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="853" name="Constant_25014_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="526577384" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="843" name="Constant_146699_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="526555832" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16331,11 +14132,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="854" name="Constant_25014" type="Convert" version="opset1">
+		<layer id="844" name="Constant_146699" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16352,11 +14152,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="855" name="/roberta/encoder/layer.9/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="845" name="__module.roberta.encoder.layer.9.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16370,18 +14167,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="856" name="Constant_25015_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="526578920" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="846" name="Constant_146700_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="526557368" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16390,11 +14184,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="857" name="Constant_25015" type="Convert" version="opset1">
+		<layer id="847" name="Constant_146700" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.9.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16411,11 +14204,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="858" name="/roberta/encoder/layer.9/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="848" name="__module.roberta.encoder.layer.9.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.9/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16429,18 +14219,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.9/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="856,input_tensor.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="859" name="Constant_24654_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="526580456" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/query/MatMul, onnx::MatMul_1686" />
-			</rt_info>
+		<layer id="849" name="self.roberta.encoder.layer.10.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="526558904" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -16448,11 +14235,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="860" name="Constant_24654" type="Convert" version="opset1">
+		<layer id="850" name="self.roberta.encoder.layer.10.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/query/MatMul, onnx::MatMul_1686" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16461,17 +14247,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="861" name="/roberta/encoder/layer.10/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="851" name="__module.roberta.encoder.layer.10.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/query/MatMul, onnx::MatMul_1686" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16484,42 +14267,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="862" name="/roberta/encoder/layer.10/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="852" name="Constant_146701_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="527738552" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="853" name="Constant_146701" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="854" name="__module.roberta.encoder.layer.10.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="867,x.129">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="863" name="/roberta/encoder/layer.10/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="855" name="__module.roberta.encoder.layer.10.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Concat_2, /roberta/encoder/layer.10/attention/self/Constant_10, /roberta/encoder/layer.10/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -16527,11 +14337,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="864" name="/roberta/encoder/layer.10/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="856" name="__module.roberta.encoder.layer.10.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16543,7 +14350,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="889,x.131">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -16551,21 +14358,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="865" name="Constant_2038" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2038" />
-			</rt_info>
+		<layer id="857" name="Constant_141391" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="890">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="866" name="/roberta/encoder/layer.10/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="858" name="__module.roberta.encoder.layer.10.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16578,7 +14379,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="891">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -16586,45 +14387,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="867" name="Constant_25017_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="527760104" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="868" name="Constant_25017" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="869" name="Constant_24658_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="527761640" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/key/MatMul, onnx::MatMul_1687" />
-			</rt_info>
+		<layer id="859" name="self.roberta.encoder.layer.10.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="527740088" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -16632,11 +14396,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="870" name="Constant_24658" type="Convert" version="opset1">
+		<layer id="860" name="self.roberta.encoder.layer.10.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/key/MatMul, onnx::MatMul_1687" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16645,17 +14408,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="871" name="/roberta/encoder/layer.10/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="861" name="__module.roberta.encoder.layer.10.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/key/MatMul, onnx::MatMul_1687" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16668,42 +14428,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="872" name="/roberta/encoder/layer.10/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="862" name="Constant_146702_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="528919736" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="863" name="Constant_146702" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="864" name="__module.roberta.encoder.layer.10.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="870,x.121">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="873" name="/roberta/encoder/layer.10/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="865" name="__module.roberta.encoder.layer.10.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Concat, /roberta/encoder/layer.10/attention/self/Constant_2, /roberta/encoder/layer.10/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -16711,11 +14498,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="874" name="/roberta/encoder/layer.10/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="866" name="__module.roberta.encoder.layer.10.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16727,7 +14511,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="874,x.123">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -16735,21 +14519,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="875" name="Constant_2040" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2040" />
-			</rt_info>
+		<layer id="867" name="Constant_141351" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="875">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="876" name="/roberta/encoder/layer.10/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="868" name="__module.roberta.encoder.layer.10.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16762,19 +14540,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="876,key_layer.21">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="877" name="Constant_25018_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Constant_12, /roberta/encoder/layer.10/attention/self/Div" />
-			</rt_info>
+		<layer id="869" name="Constant_151023_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -16784,11 +14559,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="878" name="Constant_25018" type="Convert" version="opset1">
+		<layer id="870" name="Constant_151023" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Constant_12, /roberta/encoder/layer.10/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16807,17 +14581,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="879" name="Multiply_24774" type="Multiply" version="opset1">
+		<layer id="871" name="Multiply_151049" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Constant_12, /roberta/encoder/layer.10/attention/self/Div, /roberta/encoder/layer.10/attention/self/MatMul, /roberta/encoder/layer.10/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -16830,16 +14601,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="880" name="/roberta/encoder/layer.10/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Constant_12, /roberta/encoder/layer.10/attention/self/Div, /roberta/encoder/layer.10/attention/self/MatMul, /roberta/encoder/layer.10/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="872" name="__module.roberta.encoder.layer.10.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16850,12 +14618,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="894,attention_scores.43">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -16863,11 +14631,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="881" name="/roberta/encoder/layer.10/attention/self/Add" type="Add" version="opset1">
+		<layer id="873" name="__module.roberta.encoder.layer.10.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16883,7 +14648,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="895,input.83">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -16891,11 +14656,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="882" name="/roberta/encoder/layer.10/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Softmax" />
-			</rt_info>
+		<layer id="874" name="__module.roberta.encoder.layer.10.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16905,7 +14667,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="896,input.85">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -16913,45 +14675,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="883" name="Constant_25019_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="528941288" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="884" name="Constant_25019" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="885" name="Constant_24662_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="528942824" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/value/MatMul, onnx::MatMul_1690" />
-			</rt_info>
+		<layer id="875" name="self.roberta.encoder.layer.10.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="528921272" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -16959,11 +14684,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="886" name="Constant_24662" type="Convert" version="opset1">
+		<layer id="876" name="self.roberta.encoder.layer.10.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/value/MatMul, onnx::MatMul_1690" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -16972,17 +14696,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="887" name="/roberta/encoder/layer.10/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="877" name="__module.roberta.encoder.layer.10.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/value/MatMul, onnx::MatMul_1690" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16995,42 +14716,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="888" name="/roberta/encoder/layer.10/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="878" name="Constant_146704_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="530100920" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="Constant_146704" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="880" name="__module.roberta.encoder.layer.10.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="879,x.125">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="889" name="/roberta/encoder/layer.10/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="881" name="__module.roberta.encoder.layer.10.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Concat_1, /roberta/encoder/layer.10/attention/self/Constant_6, /roberta/encoder/layer.10/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -17038,11 +14786,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="890" name="/roberta/encoder/layer.10/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="882" name="__module.roberta.encoder.layer.10.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17054,7 +14799,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="883,x.127">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -17062,21 +14807,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="891" name="Constant_2010" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2010" />
-			</rt_info>
+		<layer id="883" name="Constant_141374" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="884">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="892" name="/roberta/encoder/layer.10/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Transpose" />
-			</rt_info>
+		<layer id="884" name="__module.roberta.encoder.layer.10.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17089,7 +14828,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="885">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -17097,11 +14836,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="893" name="/roberta/encoder/layer.10/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="885" name="__module.roberta.encoder.layer.10.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17117,7 +14853,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="898,context_layer.41">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -17125,21 +14861,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="894" name="Constant_2048" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2048" />
-			</rt_info>
+		<layer id="886" name="Constant_141448" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="899">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="895" name="/roberta/encoder/layer.10/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="887" name="__module.roberta.encoder.layer.10.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17152,7 +14882,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="900">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -17160,10 +14890,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="896" name="/roberta/encoder/layer.10/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="888" name="__module.roberta.encoder.layer.10.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Concat_3, /roberta/encoder/layer.10/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -17171,11 +14901,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="897" name="/roberta/encoder/layer.10/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="889" name="__module.roberta.encoder.layer.10.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17188,18 +14915,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="905">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="898" name="Constant_24666_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="530122472" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/dense/MatMul, onnx::MatMul_1696" />
-			</rt_info>
+		<layer id="890" name="self.roberta.encoder.layer.10.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="530102456" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -17207,11 +14931,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="899" name="Constant_24666" type="Convert" version="opset1">
+		<layer id="891" name="self.roberta.encoder.layer.10.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/dense/MatMul, onnx::MatMul_1696" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17220,17 +14943,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="900" name="/roberta/encoder/layer.10/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="892" name="__module.roberta.encoder.layer.10.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/dense/MatMul, onnx::MatMul_1696" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17243,43 +14963,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="901" name="/roberta/encoder/layer.10/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="893" name="Constant_146705_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="531282104" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="Constant_146705" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="895" name="__module.roberta.encoder.layer.10.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/dense/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="910,input.87">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="902" name="/roberta/encoder/layer.10/attention/output/Add" type="Add" version="opset1">
+		<layer id="896" name="__module.roberta.encoder.layer.10.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17293,52 +15037,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="912">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="903" name="Constant_2078" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2078" />
-			</rt_info>
+		<layer id="897" name="__module.roberta.encoder.layer.10.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="904" name="/roberta/encoder/layer.10/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="898" name="__module.roberta.encoder.layer.10.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/LayerNorm/Add, /roberta/encoder/layer.10/attention/output/LayerNorm/Div, /roberta/encoder/layer.10/attention/output/LayerNorm/Pow, /roberta/encoder/layer.10/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.10/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.10/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.10/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="905" name="Constant_25021_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="531302120" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="899" name="Constant_146706_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="531283640" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17347,11 +15082,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="906" name="Constant_25021" type="Convert" version="opset1">
+		<layer id="900" name="Constant_146706" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17368,11 +15102,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="907" name="/roberta/encoder/layer.10/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="901" name="__module.roberta.encoder.layer.10.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17386,18 +15117,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="908" name="Constant_25022_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="531303656" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="902" name="Constant_146707_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="531285176" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17406,11 +15134,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="909" name="Constant_25022" type="Convert" version="opset1">
+		<layer id="903" name="Constant_146707" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17427,11 +15154,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="910" name="/roberta/encoder/layer.10/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="904" name="__module.roberta.encoder.layer.10.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/attention/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17445,18 +15169,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="916,input_tensor.43">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="911" name="Constant_24671_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="531305192" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/intermediate/dense/MatMul, onnx::MatMul_1697" />
-			</rt_info>
+		<layer id="905" name="self.roberta.encoder.layer.10.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="531286712" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -17464,11 +15185,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="912" name="Constant_24671" type="Convert" version="opset1">
+		<layer id="906" name="self.roberta.encoder.layer.10.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/intermediate/dense/MatMul, onnx::MatMul_1697" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17477,17 +15197,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="913" name="/roberta/encoder/layer.10/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="907" name="__module.roberta.encoder.layer.10.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/intermediate/dense/MatMul, onnx::MatMul_1697" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17500,43 +15217,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="914" name="/roberta/encoder/layer.10/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="908" name="Constant_146708_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="536005304" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="909" name="Constant_146708" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="910" name="__module.roberta.encoder.layer.10.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="920">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="915" name="/roberta/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="911" name="__module.roberta.encoder.layer.10.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.10/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.10/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.10/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17545,18 +15286,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="921">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="916" name="Constant_24676_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="536023784" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/dense/MatMul, onnx::MatMul_1698" />
-			</rt_info>
+		<layer id="912" name="self.roberta.encoder.layer.10.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="536011448" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -17564,11 +15302,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="917" name="Constant_24676" type="Convert" version="opset1">
+		<layer id="913" name="self.roberta.encoder.layer.10.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/dense/MatMul, onnx::MatMul_1698" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17577,17 +15314,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.10.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="/roberta/encoder/layer.10/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="914" name="__module.roberta.encoder.layer.10.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/dense/MatMul, onnx::MatMul_1698" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17600,43 +15334,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="919" name="/roberta/encoder/layer.10/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="915" name="Constant_146709_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="540730040" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="916" name="Constant_146709" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="917" name="__module.roberta.encoder.layer.10.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="926,input.89">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="/roberta/encoder/layer.10/output/Add" type="Add" version="opset1">
+		<layer id="918" name="__module.roberta.encoder.layer.10.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17650,52 +15408,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/Add_output_0">
+				<port id="2" precision="FP32" names="928">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="921" name="Constant_2104" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2104" />
-			</rt_info>
+		<layer id="919" name="__module.roberta.encoder.layer.10.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="922" name="/roberta/encoder/layer.10/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="920" name="__module.roberta.encoder.layer.10.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/LayerNorm/Add, /roberta/encoder/layer.10/output/LayerNorm/Div, /roberta/encoder/layer.10/output/LayerNorm/Pow, /roberta/encoder/layer.10/output/LayerNorm/ReduceMean, /roberta/encoder/layer.10/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.10/output/LayerNorm/Sqrt, /roberta/encoder/layer.10/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="923" name="Constant_25025_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="540742376" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="921" name="Constant_146710_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="540731576" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17704,11 +15453,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="924" name="Constant_25025" type="Convert" version="opset1">
+		<layer id="922" name="Constant_146710" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17725,11 +15473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="925" name="/roberta/encoder/layer.10/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="923" name="__module.roberta.encoder.layer.10.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17743,18 +15488,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="926" name="Constant_25026_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="540743912" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="924" name="Constant_146711_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="540733112" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -17763,11 +15505,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="927" name="Constant_25026" type="Convert" version="opset1">
+		<layer id="925" name="Constant_146711" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.10.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17784,11 +15525,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="928" name="/roberta/encoder/layer.10/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="926" name="__module.roberta.encoder.layer.10.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.10/output/LayerNorm/Add_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17802,18 +15540,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.10/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="932,input_tensor.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="929" name="Constant_24681_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="540745448" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/query/MatMul, onnx::MatMul_1699" />
-			</rt_info>
+		<layer id="927" name="self.roberta.encoder.layer.11.attention.self.query.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="540734648" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -17821,11 +15556,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="Constant_24681" type="Convert" version="opset1">
+		<layer id="928" name="self.roberta.encoder.layer.11.attention.self.query.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/query/MatMul, onnx::MatMul_1699" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -17834,17 +15568,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.attention.self.query.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="931" name="/roberta/encoder/layer.11/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="929" name="__module.roberta.encoder.layer.11.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/query/MatMul, onnx::MatMul_1699" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17857,42 +15588,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="932" name="/roberta/encoder/layer.11/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="930" name="Constant_146712_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="541914296" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="931" name="Constant_146712" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/query/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="932" name="__module.roberta.encoder.layer.11.attention.self.query/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="943,x.141">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="933" name="/roberta/encoder/layer.11/attention/self/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="933" name="__module.roberta.encoder.layer.11.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Concat_2, /roberta/encoder/layer.11/attention/self/Constant_10, /roberta/encoder/layer.11/attention/self/Constant_11" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -17900,11 +15658,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="934" name="/roberta/encoder/layer.11/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="934" name="__module.roberta.encoder.layer.11.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Reshape_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17916,7 +15671,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Reshape_2_output_0">
+				<port id="2" precision="FP32" names="965,x">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -17924,21 +15679,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="935" name="Constant_2203" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2203" />
-			</rt_info>
+		<layer id="935" name="Constant_141596" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="966">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="936" name="/roberta/encoder/layer.11/attention/self/Transpose_1" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Transpose_1" />
-			</rt_info>
+		<layer id="936" name="__module.roberta.encoder.layer.11.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17951,7 +15700,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Transpose_1_output_0">
+				<port id="2" precision="FP32" names="967">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -17959,45 +15708,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="937" name="Constant_25028_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="541925096" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.self.key.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="938" name="Constant_25028" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.self.key.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="939" name="Constant_24685_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="541926632" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/key/MatMul, onnx::MatMul_1700" />
-			</rt_info>
+		<layer id="937" name="self.roberta.encoder.layer.11.attention.self.key.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="541915832" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -18005,11 +15717,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="940" name="Constant_24685" type="Convert" version="opset1">
+		<layer id="938" name="self.roberta.encoder.layer.11.attention.self.key.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/key/MatMul, onnx::MatMul_1700" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18018,17 +15729,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.attention.self.key.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="941" name="/roberta/encoder/layer.11/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="939" name="__module.roberta.encoder.layer.11.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/key/MatMul, onnx::MatMul_1700" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18041,42 +15749,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/key/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="942" name="/roberta/encoder/layer.11/attention/self/key/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="940" name="Constant_146713_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="543095480" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="Constant_146713" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/key/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="942" name="__module.roberta.encoder.layer.11.attention.self.key/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/key/Add_output_0">
+				<port id="2" precision="FP32" names="946,x.133">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="943" name="/roberta/encoder/layer.11/attention/self/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="943" name="__module.roberta.encoder.layer.11.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Concat, /roberta/encoder/layer.11/attention/self/Constant_2, /roberta/encoder/layer.11/attention/self/Constant_3" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -18084,11 +15819,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="944" name="/roberta/encoder/layer.11/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="944" name="__module.roberta.encoder.layer.11.attention.self/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Reshape" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18100,7 +15832,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Reshape_output_0">
+				<port id="2" precision="FP32" names="950,x.135">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -18108,21 +15840,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="945" name="Constant_2205" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="387291296" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2205" />
-			</rt_info>
+		<layer id="945" name="Constant_141556" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="951">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="946" name="/roberta/encoder/layer.11/attention/self/Transpose_2" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="946" name="__module.roberta.encoder.layer.11.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18135,19 +15861,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="952,key_layer">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="947" name="Constant_25029_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="387291328" size="2" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Constant_12, /roberta/encoder/layer.11/attention/self/Div" />
-			</rt_info>
+		<layer id="947" name="Constant_151027_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="387163792" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18157,11 +15880,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="948" name="Constant_25029" type="Convert" version="opset1">
+		<layer id="948" name="Constant_151027" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Constant_12, /roberta/encoder/layer.11/attention/self/Div" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18180,17 +15902,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="949" name="Multiply_24776" type="Multiply" version="opset1">
+		<layer id="949" name="Multiply_151051" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Constant_12, /roberta/encoder/layer.11/attention/self/Div, /roberta/encoder/layer.11/attention/self/MatMul, /roberta/encoder/layer.11/attention/self/Transpose_2" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
@@ -18203,16 +15922,13 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="950" name="/roberta/encoder/layer.11/attention/self/Div" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Constant_12, /roberta/encoder/layer.11/attention/self/Div, /roberta/encoder/layer.11/attention/self/MatMul, /roberta/encoder/layer.11/attention/self/Transpose_2" />
-			</rt_info>
+		<layer id="950" name="__module.roberta.encoder.layer.11.attention.self/aten::div/Divide" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18223,12 +15939,12 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Div_output_0">
+				<port id="2" precision="FP32" names="970,attention_scores">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -18236,11 +15952,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="951" name="/roberta/encoder/layer.11/attention/self/Add" type="Add" version="opset1">
+		<layer id="951" name="__module.roberta.encoder.layer.11.attention.self/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18256,7 +15969,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Add_output_0">
+				<port id="2" precision="FP32" names="971,input.91">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -18264,11 +15977,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="952" name="/roberta/encoder/layer.11/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Softmax" />
-			</rt_info>
+		<layer id="952" name="__module.roberta.encoder.layer.11.attention.self/aten::softmax/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18278,7 +15988,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Softmax_output_0">
+				<port id="1" precision="FP32" names="972,input.93">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -18286,45 +15996,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="953" name="Constant_25030_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="543106280" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.self.value.bias" />
-			</rt_info>
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="954" name="Constant_25030" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.self.value.bias" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="955" name="Constant_24689_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="543107816" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/value/MatMul, onnx::MatMul_1703" />
-			</rt_info>
+		<layer id="953" name="self.roberta.encoder.layer.11.attention.self.value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="543097016" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -18332,11 +16005,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="956" name="Constant_24689" type="Convert" version="opset1">
+		<layer id="954" name="self.roberta.encoder.layer.11.attention.self.value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/value/MatMul, onnx::MatMul_1703" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18345,17 +16017,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.attention.self.value.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="957" name="/roberta/encoder/layer.11/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="955" name="__module.roberta.encoder.layer.11.attention.self.value/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/value/MatMul, onnx::MatMul_1703" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18368,42 +16037,69 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/value/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="958" name="/roberta/encoder/layer.11/attention/self/value/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="956" name="Constant_146715_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="544276664" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="957" name="Constant_146715" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/value/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="958" name="__module.roberta.encoder.layer.11.attention.self.value/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/value/Add_output_0">
+				<port id="2" precision="FP32" names="955,x.137">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="959" name="/roberta/encoder/layer.11/attention/self/Concat_1" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110048" size="32" />
+		<layer id="959" name="__module.roberta.encoder.layer.11.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982544" size="32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Concat_1, /roberta/encoder/layer.11/attention/self/Constant_6, /roberta/encoder/layer.11/attention/self/Constant_7" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -18411,11 +16107,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="960" name="/roberta/encoder/layer.11/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="960" name="__module.roberta.encoder.layer.11.attention.self/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Reshape_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18427,7 +16120,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="959,x.139">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -18435,21 +16128,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="961" name="Constant_2175" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2175" />
-			</rt_info>
+		<layer id="961" name="Constant_141579" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="960">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="962" name="/roberta/encoder/layer.11/attention/self/Transpose" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Transpose" />
-			</rt_info>
+		<layer id="962" name="__module.roberta.encoder.layer.11.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18462,7 +16149,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Transpose_output_0">
+				<port id="2" precision="FP32" names="961">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -18470,11 +16157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="963" name="/roberta/encoder/layer.11/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="963" name="__module.roberta.encoder.layer.11.attention.self/aten::matmul/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/MatMul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18490,7 +16174,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="974,context_layer.45">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -18498,21 +16182,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="964" name="Constant_2213" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="386110080" size="32" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2213" />
-			</rt_info>
+		<layer id="964" name="Constant_141653" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="385982576" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="975">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="965" name="/roberta/encoder/layer.11/attention/self/Transpose_3" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Transpose_3" />
-			</rt_info>
+		<layer id="965" name="__module.roberta.encoder.layer.11.attention.self/aten::permute/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18525,7 +16203,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Transpose_3_output_0">
+				<port id="2" precision="FP32" names="976">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>12</dim>
@@ -18533,10 +16211,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="966" name="/roberta/encoder/layer.11/attention/self/Concat_3" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="388472528" size="24" />
+		<layer id="966" name="__module.roberta.encoder.layer.11.attention.self/prim::ListConstruct/Concat_3" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="388344992" size="24" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Concat_3, /roberta/encoder/layer.11/attention/self/Constant_15" />
+				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
@@ -18544,11 +16222,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="967" name="/roberta/encoder/layer.11/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="967" name="__module.roberta.encoder.layer.11.attention.self/aten::view/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/self/Reshape_3" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18561,18 +16236,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/self/Reshape_3_output_0">
+				<port id="2" precision="FP32" names="981">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="968" name="Constant_24693_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 768" offset="544287464" size="1179648" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/dense/MatMul, onnx::MatMul_1709" />
-			</rt_info>
+		<layer id="968" name="self.roberta.encoder.layer.11.attention.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="544278200" size="1179648" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -18580,11 +16252,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="969" name="Constant_24693" type="Convert" version="opset1">
+		<layer id="969" name="self.roberta.encoder.layer.11.attention.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/dense/MatMul, onnx::MatMul_1709" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18593,17 +16264,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.attention.output.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="970" name="/roberta/encoder/layer.11/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="970" name="__module.roberta.encoder.layer.11.attention.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/dense/MatMul, onnx::MatMul_1709" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18616,43 +16284,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="971" name="/roberta/encoder/layer.11/attention/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="971" name="Constant_146716_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="545457848" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="Constant_146716" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="__module.roberta.encoder.layer.11.attention.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="986,input.95">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="972" name="/roberta/encoder/layer.11/attention/output/Add" type="Add" version="opset1">
+		<layer id="974" name="__module.roberta.encoder.layer.11.attention.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18666,52 +16358,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/Add_output_0">
+				<port id="2" precision="FP32" names="988">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="973" name="Constant_2243" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2243" />
-			</rt_info>
+		<layer id="975" name="__module.roberta.encoder.layer.11.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="974" name="/roberta/encoder/layer.11/attention/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="976" name="__module.roberta.encoder.layer.11.attention.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/LayerNorm/Add, /roberta/encoder/layer.11/attention/output/LayerNorm/Div, /roberta/encoder/layer.11/attention/output/LayerNorm/Pow, /roberta/encoder/layer.11/attention/output/LayerNorm/ReduceMean, /roberta/encoder/layer.11/attention/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.11/attention/output/LayerNorm/Sqrt, /roberta/encoder/layer.11/attention/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="975" name="Constant_25032_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="545467112" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="977" name="Constant_146717_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="545459384" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18720,11 +16403,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="976" name="Constant_25032" type="Convert" version="opset1">
+		<layer id="978" name="Constant_146717" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18741,11 +16423,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="977" name="/roberta/encoder/layer.11/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="979" name="__module.roberta.encoder.layer.11.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18759,18 +16438,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="978" name="Constant_25033_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="545468648" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="980" name="Constant_146718_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="545460920" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -18779,11 +16455,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="979" name="Constant_25033" type="Convert" version="opset1">
+		<layer id="981" name="Constant_146718" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.attention.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18800,11 +16475,8 @@
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 			</output>
 		</layer>
-		<layer id="980" name="/roberta/encoder/layer.11/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="982" name="__module.roberta.encoder.layer.11.attention.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/attention/output/LayerNorm/Add_1" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18818,18 +16490,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="992,input_tensor">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="981" name="Constant_24698_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="3072, 768" offset="545470184" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/intermediate/dense/MatMul, onnx::MatMul_1710" />
-			</rt_info>
+		<layer id="983" name="self.roberta.encoder.layer.11.intermediate.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="545462456" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>3072</dim>
@@ -18837,11 +16506,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="982" name="Constant_24698" type="Convert" version="opset1">
+		<layer id="984" name="self.roberta.encoder.layer.11.intermediate.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/intermediate/dense/MatMul, onnx::MatMul_1710" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18850,17 +16518,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.intermediate.dense.weight">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="983" name="/roberta/encoder/layer.11/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="985" name="__module.roberta.encoder.layer.11.intermediate.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/intermediate/dense/MatMul, onnx::MatMul_1710" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18873,43 +16538,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/intermediate/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="984" name="/roberta/encoder/layer.11/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="986" name="Constant_146719_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="550181048" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="987" name="Constant_146719" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/intermediate/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="988" name="__module.roberta.encoder.layer.11.intermediate.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/intermediate/dense/Add_output_0">
+				<port id="2" precision="FP32" names="996">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="985" name="/roberta/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1" type="Gelu" version="opset7">
+		<layer id="989" name="__module.roberta.encoder.layer.11.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/intermediate/intermediate_act_fn/Add, /roberta/encoder/layer.11/intermediate/intermediate_act_fn/Div, /roberta/encoder/layer.11/intermediate/intermediate_act_fn/Erf, /roberta/encoder/layer.11/intermediate/intermediate_act_fn/Mul, /roberta/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18918,18 +16607,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/roberta/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="1" precision="FP32" names="997">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="986" name="Constant_24703_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="768, 3072" offset="550188776" size="4718592" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/dense/MatMul, onnx::MatMul_1711" />
-			</rt_info>
+		<layer id="990" name="self.roberta.encoder.layer.11.output.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="550187192" size="4718592" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>768</dim>
@@ -18937,11 +16623,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="987" name="Constant_24703" type="Convert" version="opset1">
+		<layer id="991" name="self.roberta.encoder.layer.11.output.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/dense/MatMul, onnx::MatMul_1711" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -18950,17 +16635,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="self.roberta.encoder.layer.11.output.dense.weight">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="988" name="/roberta/encoder/layer.11/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="992" name="__module.roberta.encoder.layer.11.output.dense/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/dense/MatMul, onnx::MatMul_1711" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18973,43 +16655,67 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/dense/MatMul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="989" name="/roberta/encoder/layer.11/output/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="993" name="Constant_146720_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="554905784" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="994" name="Constant_146720" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/dense/Add" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="995" name="__module.roberta.encoder.layer.11.output.dense/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/dense/Add_output_0">
+				<port id="2" precision="FP32" names="1002,input.97">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="990" name="/roberta/encoder/layer.11/output/Add" type="Add" version="opset1">
+		<layer id="996" name="__module.roberta.encoder.layer.11.output/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/Add" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19023,52 +16729,43 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/Add_output_0">
+				<port id="2" precision="FP32" names="1004">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="991" name="Constant_2269" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="384137796" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2269" />
-			</rt_info>
+		<layer id="997" name="__module.roberta.encoder.layer.11.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="384798284" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="992" name="/roberta/encoder/layer.11/output/LayerNorm/Div" type="MVN" version="opset6">
+		<layer id="998" name="__module.roberta.encoder.layer.11.output.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/LayerNorm/Add, /roberta/encoder/layer.11/output/LayerNorm/Div, /roberta/encoder/layer.11/output/LayerNorm/Pow, /roberta/encoder/layer.11/output/LayerNorm/ReduceMean, /roberta/encoder/layer.11/output/LayerNorm/ReduceMean_1, /roberta/encoder/layer.11/output/LayerNorm/Sqrt, /roberta/encoder/layer.11/output/LayerNorm/Sub" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/LayerNorm/Div_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="993" name="Constant_25036_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="554907368" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.output.LayerNorm.weight" />
-			</rt_info>
+		<layer id="999" name="Constant_146721_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="554907320" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -19077,11 +16774,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="994" name="Constant_25036" type="Convert" version="opset1">
+		<layer id="1000" name="Constant_146721" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.output.LayerNorm.weight" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -19098,11 +16794,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="995" name="/roberta/encoder/layer.11/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1001" name="__module.roberta.encoder.layer.11.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/LayerNorm/Mul" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19116,18 +16809,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/LayerNorm/Mul_output_0">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="996" name="Constant_25037_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 768" offset="554908904" size="1536" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.output.LayerNorm.bias" />
-			</rt_info>
+		<layer id="1002" name="Constant_146722_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="554908856" size="1536" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -19136,11 +16826,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="997" name="Constant_25037" type="Convert" version="opset1">
+		<layer id="1003" name="Constant_146722" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
-				<attribute name="fused_names" version="0" value="roberta.encoder.layer.11.output.LayerNorm.bias" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -19157,11 +16846,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="998" name="/roberta/encoder/layer.11/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1004" name="__module.roberta.encoder.layer.11.output.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/encoder/layer.11/output/LayerNorm/Add_1" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19175,36 +16861,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/roberta/encoder/layer.11/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="1008,1017,features">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="999" name="/roberta/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384132096" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/roberta/Constant" />
-			</rt_info>
+		<layer id="1005" name="1013" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="384008764" size="8" />
 			<output>
-				<port id="0" precision="I64" names="/roberta/Constant_output_0" />
+				<port id="0" precision="I64" names="1013" />
 			</output>
 		</layer>
-		<layer id="1000" name="Constant_2282" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="384137768" size="8" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2282" />
-			</rt_info>
+		<layer id="1006" name="1011" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="384008740" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64" names="1011" />
 			</output>
 		</layer>
-		<layer id="1001" name="/classifier/Gather" type="Gather" version="opset8">
+		<layer id="1007" name="__module.classifier/aten::select/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
-			<rt_info>
-				<attribute name="fused_names" version="0" value="/classifier/Gather" />
-			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19215,17 +16892,14 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="/classifier/Gather_output_0">
+				<port id="3" precision="FP32" names="1018,1019,input.99">
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
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+		<layer id="1008" name="self.classifier.dense.weight_compressed" type="Const" version="opset1">
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-		<layer id="1003" name="classifier.dense.weight" type="Convert" version="opset1">
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@@ -19305,11 +16971,8 @@
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-		<layer id="1013" name="Constant_25039" type="Convert" version="opset1">
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@@ -19428,11 +17077,8 @@
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-		<layer id="1014" name="logits" type="Add" version="opset1">
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+		<layer id="1021" name="Result_142817" type="Result" version="opset1">
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-	<rt_info />
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+		<Runtime_version value="2024.1.0-15008-f4afc983258-releases/2024/1" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
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+			<pytorch_version value="2.2.2+cpu" />
+			<transformers_version value="4.40.2" />
+		</optimum>
+	</rt_info>
 </net>