diff --git "a/text_encoder.xml" "b/text_encoder.xml"
new file mode 100644--- /dev/null
+++ "b/text_encoder.xml"
@@ -0,0 +1,16154 @@
+<?xml version="1.0" ?>
+<net name="torch_jit" version="11">
+	<layers>
+		<layer id="0" name="tokens" type="Parameter" version="opset1">
+			<data shape="1,77" element_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="tokens"/>
+				<attribute name="old_api_map_element_type" version="0" value="i32"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="tokens">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="m.text_model.embeddings.token_embedding.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="49408, 768" offset="0" size="151781376"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="m.text_model.embeddings.token_embedding.weight"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="m.text_model.embeddings.token_embedding.weight">
+					<dim>49408</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="onnx::Reshape_2279" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="151781376" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2279"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2279">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="input" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="input">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_212" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="151781392" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_212"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="5" name="onnx::Add_211" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_211"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>49408</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+				<port id="2" precision="I64"/>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="onnx::Add_211">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="onnx::Add_212" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 77, 768" offset="151781400" size="236544"/>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Add_212">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="input.7" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input.7, onnx::Add_212"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="input.7">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_3845" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="152017944" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_217"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="onnx::Mul_222" 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="onnx::Add_218, onnx::Div_221, onnx::Mul_222, onnx::Pow_215, onnx::ReduceMean_217, onnx::Sqrt_220, onnx::Sub_214"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Mul_222">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_3840" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="152021024" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="onnx::Add_223" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_223"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</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="onnx::Add_223">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Constant_3841" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="152024096" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="onnx::MatMul_224" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_224"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</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="onnx::MatMul_224">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_3611" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="152027168" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_229, onnx::MatMul_2281, onnx::Mul_230, onnx::Mul_231, query_states"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Multiply_3559" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_229, onnx::MatMul_2281, onnx::Mul_230, onnx::Mul_231, query_states"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_3842" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="154386464" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="query_states" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Mul_230, query_states"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</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="query_states">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="onnx::Reshape_2349" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389536" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2349"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2298,onnx::Reshape_2349,onnx::Reshape_2400,onnx::Reshape_2451,onnx::Reshape_2502,onnx::Reshape_2553,onnx::Reshape_2604,onnx::Reshape_2655,onnx::Reshape_2706,onnx::Reshape_2757,onnx::Reshape_2808,onnx::Reshape_2859">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="onnx::Transpose_279" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_279"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_279">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Constant_257" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_257"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="onnx::Reshape_280" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_280"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_280">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="onnx::Reshape_2306" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="154389600" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2306"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2302,onnx::Reshape_2306,onnx::Reshape_2310,onnx::Reshape_2353,onnx::Reshape_2357,onnx::Reshape_2361,onnx::Reshape_2404,onnx::Reshape_2408,onnx::Reshape_2412,onnx::Reshape_2455,onnx::Reshape_2459,onnx::Reshape_2463,onnx::Reshape_2506,onnx::Reshape_2510,onnx::Reshape_2514,onnx::Reshape_2557,onnx::Reshape_2561,onnx::Reshape_2565,onnx::Reshape_2608,onnx::Reshape_2612,onnx::Reshape_2616,onnx::Reshape_2659,onnx::Reshape_2663,onnx::Reshape_2667,onnx::Reshape_2710,onnx::Reshape_2714,onnx::Reshape_2718,onnx::Reshape_2761,onnx::Reshape_2765,onnx::Reshape_2769,onnx::Reshape_2812,onnx::Reshape_2816,onnx::Reshape_2820,onnx::Reshape_2863,onnx::Reshape_2867,onnx::Reshape_2871">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="onnx::MatMul_290" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_290"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_290">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_3843" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="154389624" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_3019" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="154392696" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_234, onnx::MatMul_2282"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="onnx::Add_234" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_234, onnx::MatMul_2282"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_234">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="onnx::Reshape_235" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_235"/>
+			</rt_info>
+			<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>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_235">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="onnx::Reshape_2293" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="156751992" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2293"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2287,onnx::Reshape_2293,onnx::Reshape_2338,onnx::Reshape_2344,onnx::Reshape_2389,onnx::Reshape_2395,onnx::Reshape_2440,onnx::Reshape_2446,onnx::Reshape_2491,onnx::Reshape_2497,onnx::Reshape_2542,onnx::Reshape_2548,onnx::Reshape_2593,onnx::Reshape_2599,onnx::Reshape_2644,onnx::Reshape_2650,onnx::Reshape_2695,onnx::Reshape_2701,onnx::Reshape_2746,onnx::Reshape_2752,onnx::Reshape_2797,onnx::Reshape_2803,onnx::Reshape_2848,onnx::Reshape_2854">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="onnx::Transpose_248" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_248"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_248">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_242" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_242"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="onnx::Reshape_249" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_249"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_249">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="onnx::Transpose_300" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_300"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_300">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Constant_271" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="156752024" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_271"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="onnx::MatMul_312" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_312"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_312">
+					<dim>12</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="onnx::Reshape_313" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_313"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_313">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="onnx::Reshape_2366" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="156752048" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2366"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2315,onnx::Reshape_2366,onnx::Reshape_2417,onnx::Reshape_2468,onnx::Reshape_2519,onnx::Reshape_2570,onnx::Reshape_2621,onnx::Reshape_2672,onnx::Reshape_2723,onnx::Reshape_2774,onnx::Reshape_2825,onnx::Reshape_2876">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="onnx::Add_324" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_324"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_324">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="onnx::Add_325" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_325"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Add_325">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="onnx::Reshape_326" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_326"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_326">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="onnx::Reshape_2370" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="156775796" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2370"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2319,onnx::Reshape_2370,onnx::Reshape_2421,onnx::Reshape_2472,onnx::Reshape_2523,onnx::Reshape_2574,onnx::Reshape_2625,onnx::Reshape_2676,onnx::Reshape_2727,onnx::Reshape_2778,onnx::Reshape_2829,onnx::Reshape_2880">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="attn_weights" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="attn_weights">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="attn_weights.3" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights.3"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="attn_weights.3">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="Constant_3844" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="156775820" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="Constant_3026" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="156778892" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_251, onnx::MatMul_2288"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="onnx::Add_251" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_251, onnx::MatMul_2288"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_251">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="onnx::Reshape_252" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_252"/>
+			</rt_info>
+			<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>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_252">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="onnx::Transpose_265" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_265"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_265">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="Constant_249" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_249"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="onnx::Reshape_266" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_266"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_266">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="onnx::MatMul_310" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_310"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_310">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="onnx::Reshape_337" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_337"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_337">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="onnx::Reshape_2375" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="159138188" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2375"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2324,onnx::Reshape_2375,onnx::Reshape_2426,onnx::Reshape_2477,onnx::Reshape_2528,onnx::Reshape_2579,onnx::Reshape_2630,onnx::Reshape_2681,onnx::Reshape_2732,onnx::Reshape_2783,onnx::Reshape_2834,onnx::Reshape_2885">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="onnx::Transpose_349" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_349"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_349">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="Constant_296" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_296"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="onnx::Reshape_350" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_350"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_350">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="onnx::Reshape_2379" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="159138220" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_2379"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Reshape_2328,onnx::Reshape_2379,onnx::Reshape_2430,onnx::Reshape_2481,onnx::Reshape_2532,onnx::Reshape_2583,onnx::Reshape_2634,onnx::Reshape_2685,onnx::Reshape_2736,onnx::Reshape_2787,onnx::Reshape_2838,onnx::Reshape_2889">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="onnx::MatMul_358" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_358"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_358">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="Constant_3033" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="159138244" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_360, onnx::MatMul_2329"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="onnx::Add_360" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_360, onnx::MatMul_2329"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_360">
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+		</layer>
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+			<data auto_broadcast="numpy"/>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_372"/>
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+		<layer id="72" name="onnx::Add_375" type="MatMul" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_375, onnx::MatMul_2330"/>
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+				<attribute name="fused_names" version="0" value="onnx::Mul_376"/>
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+		<layer id="77" name="onnx::Add_382" type="MatMul" version="opset1">
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+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_451">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="onnx::MatMul_461" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_461"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_461">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="Constant_3853" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="182765000" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Constant_3065" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="182768072" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_405, onnx::MatMul_2333"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="onnx::Add_405" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_405, onnx::MatMul_2333"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_405">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="onnx::Reshape_406" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_406"/>
+			</rt_info>
+			<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>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_406">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="onnx::Transpose_419" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_419"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_419">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="Constant_351" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_351"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="onnx::Reshape_420" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_420"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_420">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="onnx::Transpose_471" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_471"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_471">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="Constant_374" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="156752024" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_374"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="onnx::MatMul_483" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_483"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_483">
+					<dim>12</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="onnx::Reshape_484" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_484"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>12</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_484">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="onnx::Add_495" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_495"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_495">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="onnx::Add_496" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_496"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Add_496">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="onnx::Reshape_497" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_497"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_497">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="attn_weights.7" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights.7"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="attn_weights.7">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="attn_weights.11" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights.11"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="attn_weights.11">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="Constant_3854" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="185127368" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="Constant_3072" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="185130440" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_422, onnx::MatMul_2339"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="onnx::Add_422" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_422, onnx::MatMul_2339"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_422">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="onnx::Reshape_423" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_423"/>
+			</rt_info>
+			<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>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_423">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="onnx::Transpose_436" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_436"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_436">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_358" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_358"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="onnx::Reshape_437" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_437"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_437">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="onnx::MatMul_481" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_481"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_481">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="onnx::Reshape_508" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_508"/>
+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>77</dim>
+					<dim>64</dim>
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+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_508">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="onnx::Transpose_520" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_520"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>64</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_520">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="Constant_390" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_390"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="onnx::Reshape_521" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_521"/>
+			</rt_info>
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_521">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_529"/>
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+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
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+			</output>
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+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_622"/>
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+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
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+					<dim>12</dim>
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+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<rt_info>
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+					<dim>768</dim>
+				</port>
+			</output>
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+		<layer id="162" name="onnx::Add_576" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_576, onnx::MatMul_2384"/>
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+				</port>
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_577"/>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_590"/>
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+					<dim>64</dim>
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+			</output>
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+			<rt_info>
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+			<output>
+				<port id="0" precision="I64">
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+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_591"/>
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+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_642"/>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_465"/>
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+				<attribute name="fused_names" version="0" value="onnx::MatMul_654"/>
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+			</output>
+		</layer>
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+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_655"/>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_666"/>
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+			<output>
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+			</output>
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_668"/>
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+			</output>
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+			<data special_zero="true"/>
+			<rt_info>
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+			<output>
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+			<data axis="-1"/>
+			<rt_info>
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+			<rt_info>
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+			</output>
+		</layer>
+		<layer id="188" name="onnx::MatMul_700" type="Reshape" version="opset1">
+			<data special_zero="true"/>
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+			<data element_type="f32" shape="1, 1, 768" offset="239464904" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="query_states.11" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Mul_743, query_states.11"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="query_states.11">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="onnx::Transpose_792" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_792"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_792">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="Constant_545" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_545"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="onnx::Reshape_793" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_793"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_793">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="onnx::MatMul_803" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_803"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_803">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="Constant_3873" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="239467976" size="3072"/>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="Constant_3157" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="239471048" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_747, onnx::MatMul_2435"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="onnx::Add_747" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_747, onnx::MatMul_2435"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_747">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="onnx::Reshape_748" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_748"/>
+			</rt_info>
+			<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>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_748">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="onnx::Transpose_761" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_761"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_761">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="Constant_533" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_533"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="onnx::Reshape_762" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_762"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_762">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="onnx::Transpose_813" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_813"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_813">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="Constant_556" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="156752024" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_556"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="onnx::MatMul_825" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_825"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>77</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::MatMul_825">
+					<dim>12</dim>
+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="onnx::Reshape_826" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_826"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_826">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="onnx::Add_837" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_837"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_837">
+					<dim>1</dim>
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+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="onnx::Add_838" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_838"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Add_838">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="onnx::Reshape_839" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_839"/>
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+				</port>
+				<port id="1" precision="FP32">
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+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_839">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="attn_weights.23" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights.23"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="attn_weights.23">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="attn_weights.27" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="attn_weights.27"/>
+			</rt_info>
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+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="attn_weights.27">
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="Constant_3874" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="241830344" size="3072"/>
+			<output>
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+		</layer>
+		<layer id="242" name="Constant_3164" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="241833416" size="2359296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_764, onnx::MatMul_2441"/>
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+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="onnx::Add_764" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_764, onnx::MatMul_2441"/>
+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>768</dim>
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+			</output>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_765"/>
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+				</port>
+			</output>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_778"/>
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+					<dim>64</dim>
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+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
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+				</port>
+			</output>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_779"/>
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+					<dim>64</dim>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_823"/>
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+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_850"/>
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+			</output>
+		</layer>
+		<layer id="250" name="onnx::Transpose_862" type="Reshape" version="opset1">
+			<data special_zero="true"/>
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+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="251" name="Constant_572" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="252" name="onnx::Reshape_863" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_863"/>
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+			</output>
+		</layer>
+		<layer id="253" name="onnx::MatMul_871" type="Reshape" version="opset1">
+			<data special_zero="true"/>
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+				<port id="1" precision="I64">
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+		</layer>
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+		<layer id="255" name="onnx::Add_873" type="MatMul" version="opset1">
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+			<data auto_broadcast="numpy"/>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_885"/>
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+		<layer id="283" name="Multiply_3575" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
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+		</layer>
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+		<layer id="285" name="query_states.15" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Mul_914, query_states.15"/>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_963"/>
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+			</output>
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+			</output>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_964"/>
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+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_974"/>
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+			<output>
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+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<rt_info>
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+			</output>
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+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_918, onnx::MatMul_2486"/>
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_919"/>
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+			<data special_zero="true"/>
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+					<dim>64</dim>
+				</port>
+			</output>
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+			</output>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_933"/>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
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+		</layer>
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+			<rt_info>
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+			<data auto_broadcast="numpy"/>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_1120"/>
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+				<port id="1" precision="I64">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_1120">
+					<dim>1</dim>
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+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="Constant_722" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
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+			<output>
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+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="onnx::Reshape_1121" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1121"/>
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+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="onnx::MatMul_1165" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_1165"/>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="onnx::Reshape_1192" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1192"/>
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+			</input>
+			<output>
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+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_1204"/>
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+				<port id="1" precision="I64">
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+			<output>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_1205"/>
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+				<port id="1" precision="I64">
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+			<data special_zero="true"/>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			<output>
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+					<dim>768</dim>
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+		<layer id="384" name="Constant_3263" type="Const" version="opset1">
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+			</output>
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+			<data transpose_a="false" transpose_b="true"/>
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+				<attribute name="fused_names" version="0" value="onnx::Add_1215, onnx::MatMul_2584"/>
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+				<attribute name="fused_names" version="0" value="onnx::Add_1227"/>
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+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="onnx::Add_1277" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_1277, onnx::MatMul_2594"/>
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+				<port id="1" precision="FP32">
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+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Add_1277">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="onnx::Reshape_1278" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1278"/>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Reshape_1278">
+					<dim>1</dim>
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+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="onnx::Transpose_1291" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_1291"/>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_1291">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>12</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="Constant_813" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154389568" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_813"/>
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+			<output>
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+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="onnx::Reshape_1292" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1292"/>
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+				<port id="1" precision="I64">
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+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_1336"/>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="onnx::Reshape_1363" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1363"/>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
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+			</input>
+			<output>
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+					<dim>12</dim>
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+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_1375"/>
+			</rt_info>
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+				<port id="1" precision="I64">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="onnx::Transpose_1375">
+					<dim>1</dim>
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+				<attribute name="fused_names" version="0" value="Constant_845"/>
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+			<output>
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+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1376"/>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
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+					<dim>12</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			<output>
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+					<dim>768</dim>
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+			</output>
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+		<layer id="450" name="onnx::Add_1386" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
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+				<attribute name="fused_names" version="0" value="onnx::Add_1386, onnx::MatMul_2635"/>
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+				<port id="1" precision="FP32">
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="fused_names" version="0" value="onnx::Add_1398"/>
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+			<data transpose_a="false" transpose_b="false"/>
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+		</layer>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_1852"/>
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+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="onnx::Add_1863" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_1863"/>
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+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="onnx::Add_1864" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
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+			</output>
+		</layer>
+		<layer id="628" name="onnx::Reshape_1865" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Reshape_1865"/>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
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+			</output>
+		</layer>
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+			<data axis="-1"/>
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+		</layer>
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+		<layer id="633" name="onnx::Add_1790" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Add_1790, onnx::MatMul_2747"/>
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+			</output>
+		</layer>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_1791"/>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Transpose_1804"/>
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+				<attribute name="fused_names" version="0" value="onnx::Reshape_1805"/>
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+				<attribute name="fused_names" version="0" value="onnx::MatMul_1849"/>
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+			<data transpose_a="false" transpose_b="false"/>
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+		<Runtime_version value="2022.1.0-7019-cdb9bec7210-releases/2022/1"/>
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+		<cli_parameters>
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+			<compress_fp16 value="False"/>
+			<data_type value="float"/>
+			<disable_nhwc_to_nchw value="False"/>
+			<disable_omitting_optional value="False"/>
+			<disable_resnet_optimization value="False"/>
+			<disable_weights_compression value="False"/>
+			<enable_concat_optimization value="False"/>
+			<enable_flattening_nested_params value="False"/>
+			<enable_ssd_gluoncv value="False"/>
+			<extensions value="DIR"/>
+			<framework value="onnx"/>
+			<freeze_placeholder_with_value value="{}"/>
+			<input_model value="DIR/text_encoder.onnx"/>
+			<input_model_is_text value="False"/>
+			<k value="DIR/CustomLayersMapping.xml"/>
+			<layout value="()"/>
+			<layout_values value="{}"/>
+			<legacy_mxnet_model value="False"/>
+			<log_level value="ERROR"/>
+			<mean_scale_values value="{}"/>
+			<mean_values value="()"/>
+			<model_name value="text_encoder"/>
+			<output_dir value="DIR"/>
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+			<progress value="False"/>
+			<remove_memory value="False"/>
+			<remove_output_softmax value="False"/>
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+			<save_params_from_nd value="False"/>
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+			<silent value="False"/>
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+			<use_legacy_frontend value="False"/>
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