LLaVA_int4 / token_embed.xml
emon-j's picture
int4 quantized LLaVA multimodal
e011873
<?xml version="1.0"?>
<net name="Model3" version="11">
<layers>
<layer id="0" name="x" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
<port id="0" precision="I64" names="x">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="self.transformer.wte.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="50282, 4096" offset="0" size="411910144" />
<output>
<port id="0" precision="FP16" names="4,self.transformer.wte.weight">
<dim>50282</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="2" name="self.transformer.wte.weight" type="Convert" version="opset1">
<data destination_type="f32" />
<rt_info>
<attribute name="decompression" version="0" />
</rt_info>
<input>
<port id="0" precision="FP16">
<dim>50282</dim>
<dim>4096</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>50282</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="3" name="__module.transformer.wte/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="1" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="4" name="__module.transformer.wte/aten::embedding/Constant" type="Const" version="opset1">
<data element_type="i32" shape="" offset="411910144" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="5" name="__module.transformer.wte/aten::embedding/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>50282</dim>
<dim>4096</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="2" precision="I32" />
</input>
<output>
<port id="3" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>4096</dim>
</port>
</output>
</layer>
<layer id="6" name="Result_48770" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>4096</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="5" to-port="0" />
<edge from-layer="3" from-port="1" to-layer="5" to-port="1" />
<edge from-layer="4" from-port="0" to-layer="5" to-port="2" />
<edge from-layer="5" from-port="3" to-layer="6" to-port="0" />
</edges>
<rt_info>
<Runtime_version value="2023.2.0-13105-ff7b49c14d1-HEAD" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
</rt_info>
</net>