MiniCPM-o-4_5-OV / openvino_tts_code_embedding_model.xml
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<?xml version="1.0"?>
<net name="Model1416" version="11">
<layers>
<layer id="0" name="audio_codes" type="Parameter" version="opset1">
<data shape="?,?,1" element_type="i64" />
<output>
<port id="0" precision="I64" names="13,8,audio_codes">
<dim>-1</dim>
<dim>-1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="1" name="self.emb_code.0.weight_compressed" type="Const" version="opset1">
<data element_type="f16" shape="6562, 768" offset="0" size="10079232" />
<output>
<port id="0" precision="FP16" names="self.emb_code.0.weight">
<dim>6562</dim>
<dim>768</dim>
</port>
</output>
</layer>
<layer id="2" name="self.emb_code.0.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>6562</dim>
<dim>768</dim>
</port>
</input>
<output>
<port id="1" precision="FP32">
<dim>6562</dim>
<dim>768</dim>
</port>
</output>
</layer>
<layer id="3" name="15" type="Const" version="opset1">
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<output>
<port id="0" precision="I64" names="15" />
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</layer>
<layer id="4" name="14" type="Const" version="opset1">
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<output>
<port id="0" precision="I64" names="14" />
</output>
</layer>
<layer id="5" name="aten::select/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
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</input>
<output>
<port id="3" precision="I64" names="16">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="6" name="__module.emb_code.0/ov_ext::embedding/Convert" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
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<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
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</port>
</output>
</layer>
<layer id="7" name="__module.emb_code.0/ov_ext::embedding/Constant" type="Const" version="opset1">
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<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="8" name="__module.emb_code.0/ov_ext::embedding/Gather" type="Gather" version="opset8">
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<port id="0" precision="FP32">
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<port id="1" precision="I32">
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<port id="2" precision="I32" />
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<output>
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<dim>-1</dim>
<dim>768</dim>
</port>
</output>
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<layer id="9" name="Constant_3025168" type="Const" version="opset1">
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<layer id="10" name="Unsqueeze_3025169" type="Unsqueeze" version="opset1">
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<dim>-1</dim>
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<port id="1" precision="I32" />
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<output>
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<dim>-1</dim>
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<dim>1</dim>
</port>
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</layer>
<layer id="11" name="Constant_3025139" type="Const" version="opset1">
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<output>
<port id="0" precision="I64" names="22">
<dim>1</dim>
</port>
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</layer>
<layer id="12" name="aten::sum/ReduceSum" type="ReduceSum" version="opset1">
<data keep_dims="false" />
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<dim>768</dim>
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<port id="1" precision="I64">
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</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>768</dim>
</port>
</output>
</layer>
<layer id="13" name="Result_3025143" type="Result" version="opset1">
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<port id="0" precision="FP32">
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</port>
</input>
</layer>
</layers>
<edges>
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<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="8" to-port="0" />
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</edges>
<rt_info>
<Runtime_version value="2025.4.1-20426-82bbf0292c5-releases/2025/4" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
</rt_info>
</net>