Text-to-Image
Diffusers
OpenVINO
StableDiffusionPipeline
int4
optimum
optimum-intel
nncf
lcm
anime
sd1.5
cpu
Instructions to use HelloSun/animemixv10_lcm-OpenVINO-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloSun/animemixv10_lcm-OpenVINO-INT4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloSun/animemixv10_lcm-OpenVINO-INT4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae_encoder/openvino_model.xml from HelloSun/animemixv10_lcm-OpenVINO-INT4: direct link, hf CLI and curl.
- Browser
- Download file 208 kB
-
https://huggingface.co/HelloSun/animemixv10_lcm-OpenVINO-INT4/resolve/main/vae_encoder/openvino_model.xml
- Command line
-
hf download hf://HelloSun/animemixv10_lcm-OpenVINO-INT4/vae_encoder/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/HelloSun/animemixv10_lcm-OpenVINO-INT4/resolve/main/vae_encoder/openvino_model.xml
208 kB
| <net name="Model6" version="11"> | |
| <layers> | |
| <layer id="0" name="sample" type="Parameter" version="opset1"> | |
| <data shape="?,3,?,?" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="sample"> | |
| <dim>-1</dim> | |
| <dim>3</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="1" name="self.encoder.conv_in.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="128, 3, 3, 3" offset="0" size="3456" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="2" name="Convert_2144416" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="3" name="self.encoder.conv_in.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="128, 1, 1, 1" offset="3456" size="256" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="4" name="self.encoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="5" name="self.encoder.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="6" name="__module.encoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="7" name="__module.encoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 128, 1, 1" offset="3712" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="8" name="__module.encoder.conv_in/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="42,input.1"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="9" name="self.encoder.down_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="4224" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm1.weight"> | |
| <dim>128</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="10" name="self.encoder.down_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="4736" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm1.bias"> | |
| <dim>128</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="11" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>128</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="57,input.3"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="12" name="__module.encoder.down_blocks.0.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="58,input.5"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="13" name="self.encoder.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="128, 128, 3, 3" offset="5248" size="147456" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="14" name="Convert_2106798" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="15" name="self.encoder.down_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="128, 1, 1, 1" offset="152704" size="256" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="16" name="self.encoder.down_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="17" name="self.encoder.down_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="18" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="19" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 128, 1, 1" offset="152960" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="20" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="65,input.7"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="21" name="self.encoder.down_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="153472" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.weight"> | |
| <dim>128</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="22" name="self.encoder.down_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="153984" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.bias"> | |
| <dim>128</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="23" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>128</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="68,input.9"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="24" name="__module.encoder.down_blocks.0.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="69,input.11"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="25" name="self.encoder.down_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="128, 128, 3, 3" offset="154496" size="147456" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="26" name="Convert_2112171" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="27" name="self.encoder.down_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="128, 1, 1, 1" offset="301952" size="256" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="28" name="self.encoder.down_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="29" name="self.encoder.down_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="30" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="31" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 128, 1, 1" offset="302208" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="32" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="52" name="self.encoder.down_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1"> | |
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| <layer id="53" name="self.encoder.down_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="54" name="self.encoder.down_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="55" name="__module.encoder.down_blocks.0.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="56" name="__module.encoder.down_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="57" name="__module.encoder.down_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="108,hidden_states.3"> | |
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| <layer id="58" name="__module.encoder.down_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="109,110,hidden_states.5"> | |
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| <layer id="59" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight" type="Const" version="opset1"> | |
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| <layer id="60" name="Convert_2128290" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="61" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight/scale" type="Const" version="opset1"> | |
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| <layer id="62" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="63" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <port id="0" precision="FP16"> | |
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| <layer id="64" name="__module.encoder.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="77" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="78" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="79" name="self.encoder.down_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="81" name="self.encoder.down_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="82" name="self.encoder.down_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="83" name="self.encoder.down_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="84" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="85" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="86" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="144,input.35"> | |
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| <layer id="87" name="self.encoder.down_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="88" name="self.encoder.down_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm2.bias"> | |
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| <layer id="89" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="90" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32" names="148,input.39"> | |
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| <layer id="91" name="self.encoder.down_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="92" name="Convert_2058417" type="Convert" version="opset1"> | |
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| <layer id="93" name="self.encoder.down_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
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| <layer id="94" name="self.encoder.down_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <layer id="95" name="self.encoder.down_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="96" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="97" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="106" name="self.encoder.down_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="107" name="self.encoder.down_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="108" name="self.encoder.down_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="109" name="__module.encoder.down_blocks.1.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="110" name="__module.encoder.down_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="111" name="__module.encoder.down_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="112" name="self.encoder.down_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="113" name="self.encoder.down_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1"> | |
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| <layer id="114" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="115" name="__module.encoder.down_blocks.1.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="186,input.53"> | |
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| <layer id="116" name="self.encoder.down_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="117" name="Convert_2069163" type="Convert" version="opset1"> | |
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| <layer id="118" name="self.encoder.down_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1"> | |
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| <layer id="119" name="self.encoder.down_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="120" name="self.encoder.down_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="121" name="__module.encoder.down_blocks.1.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <layer id="122" name="__module.encoder.down_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="123" name="__module.encoder.down_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="194,hidden_states.11"> | |
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| <layer id="124" name="__module.encoder.down_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="195,196,hidden_states.13"> | |
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| <layer id="125" name="self.encoder.down_blocks.1.downsamplers.0.conv.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="I8"> | |
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| <layer id="126" name="Convert_2074536" type="Convert" version="opset1"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="127" name="self.encoder.down_blocks.1.downsamplers.0.conv.weight/scale" type="Const" version="opset1"> | |
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| <port id="0" precision="FP16"> | |
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| <layer id="128" name="self.encoder.down_blocks.1.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="129" name="self.encoder.down_blocks.1.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <layer id="130" name="__module.encoder.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="135" name="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1"> | |
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| <layer id="136" name="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="137" name="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="138" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="139" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="140" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="141" name="self.encoder.down_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="142" name="self.encoder.down_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1"> | |
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| <layer id="143" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="144" name="__module.encoder.down_blocks.2.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="145" name="self.encoder.down_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="146" name="Convert_2053044" type="Convert" version="opset1"> | |
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| <layer id="147" name="self.encoder.down_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="148" name="self.encoder.down_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="149" name="self.encoder.down_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
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| <layer id="150" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
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| <layer id="151" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="4769664" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="152" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="230,input.63"> | |
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| <layer id="153" name="self.encoder.down_blocks.2.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="4771712" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.0.norm2.weight"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="154" name="self.encoder.down_blocks.2.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="4773760" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.0.norm2.bias"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="155" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <port id="3" precision="FP32" names="233,input.65"> | |
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| <layer id="156" name="__module.encoder.down_blocks.2.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <output> | |
| <port id="1" precision="FP32" names="234,input.67"> | |
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| <layer id="157" name="self.encoder.down_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512, 3, 3" offset="4775808" size="2359296" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
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| <layer id="158" name="Convert_1988568" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="159" name="self.encoder.down_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="7135104" size="1024" /> | |
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| <port id="0" precision="FP16"> | |
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| <layer id="160" name="self.encoder.down_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <dim>512</dim> | |
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| <port id="1" precision="FP16"> | |
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| <dim>512</dim> | |
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| <layer id="161" name="self.encoder.down_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
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| <dim>512</dim> | |
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| <layer id="162" name="__module.encoder.down_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="163" name="__module.encoder.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="170" name="self.encoder.down_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="171" name="Convert_1993941" type="Convert" version="opset1"> | |
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| <layer id="172" name="self.encoder.down_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="173" name="self.encoder.down_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="174" name="self.encoder.down_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="175" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="176" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="177" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="2" precision="FP32" names="268,input.77"> | |
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| <layer id="178" name="self.encoder.down_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="179" name="self.encoder.down_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.1.norm2.bias"> | |
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| <layer id="180" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <layer id="181" name="__module.encoder.down_blocks.2.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="272,input.81"> | |
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| <layer id="182" name="self.encoder.down_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="183" name="Convert_1999314" type="Convert" version="opset1"> | |
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| <layer id="184" name="self.encoder.down_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1"> | |
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| <layer id="185" name="self.encoder.down_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <port id="2" precision="FP16"> | |
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| <layer id="186" name="self.encoder.down_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
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| <layer id="187" name="__module.encoder.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
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| <layer id="188" name="__module.encoder.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="11869056" size="2048" /> | |
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| <layer id="189" name="__module.encoder.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="280,hidden_states.19"> | |
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| <layer id="190" name="__module.encoder.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="281,282,hidden_states.21"> | |
| <dim>-1</dim> | |
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| <layer id="191" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512, 3, 3" offset="11871104" size="2359296" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
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| <layer id="192" name="Convert_2004687" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="193" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight/scale" type="Const" version="opset1"> | |
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| <port id="0" precision="FP16"> | |
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| <dim>1</dim> | |
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| <layer id="194" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
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| <dim>512</dim> | |
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| <port id="1" precision="FP16"> | |
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| <output> | |
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| <dim>512</dim> | |
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| </output> | |
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| <layer id="195" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
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| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
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| <layer id="196" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="218" name="self.encoder.down_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="219" name="self.encoder.down_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="220" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="221" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="222" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="2" precision="FP32" names="325,hidden_states.25"> | |
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| <layer id="223" name="__module.encoder.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="224" name="self.encoder.down_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="232" name="self.encoder.down_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="235" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="236" name="self.encoder.down_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="237" name="self.encoder.down_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1"> | |
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| <layer id="238" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="239" name="__module.encoder.down_blocks.3.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <layer id="240" name="self.encoder.down_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="241" name="Convert_2026179" type="Convert" version="opset1"> | |
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| <layer id="242" name="self.encoder.down_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1"> | |
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| <layer id="243" name="self.encoder.down_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="244" name="self.encoder.down_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
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| <layer id="245" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <layer id="246" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="23697280" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="247" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="356,hidden_states.27"> | |
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| <layer id="248" name="__module.encoder.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="357,358,input.113"> | |
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| <layer id="249" name="self.encoder.mid_block.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.norm1.weight"> | |
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| <layer id="250" name="self.encoder.mid_block.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="23701376" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.norm1.bias"> | |
| <dim>512</dim> | |
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| <layer id="251" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
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| <port id="3" precision="FP32" names="373,input.115"> | |
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| <layer id="252" name="__module.encoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32" names="374,input.117"> | |
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| <layer id="253" name="self.encoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512, 3, 3" offset="23703424" size="2359296" /> | |
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| <port id="0" precision="I8"> | |
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| <dim>3</dim> | |
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| </layer> | |
| <layer id="254" name="Convert_2031552" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| </layer> | |
| <layer id="255" name="self.encoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="26062720" size="1024" /> | |
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| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="256" name="self.encoder.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <port id="1" precision="FP16"> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
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| <layer id="257" name="self.encoder.mid_block.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
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| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="258" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <layer id="259" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="26063744" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="260" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="381,input.119"> | |
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| <layer id="261" name="self.encoder.mid_block.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="26065792" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.norm2.weight"> | |
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| <layer id="262" name="self.encoder.mid_block.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.norm2.bias"> | |
| <dim>512</dim> | |
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| </output> | |
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| <layer id="263" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="384,input.121"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="264" name="__module.encoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="385,input.123"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="265" name="self.encoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512, 3, 3" offset="26069888" size="2359296" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="266" name="Convert_2036925" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="267" name="self.encoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="28429184" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="268" name="self.encoder.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="269" name="self.encoder.mid_block.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="270" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="271" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="28430208" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="272" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="393,hidden_states.29"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="273" name="__module.encoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="394,395,hidden_states.31"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="274" name="Constant_102286" type="Const" version="opset1"> | |
| <data element_type="i64" shape="3" offset="28432256" size="24" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="275" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>3</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="411"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="276" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="28432280" size="12" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="277" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </port> | |
| <port id="1" precision="I32"> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="412,hidden_states.33"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="278" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant_1" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="28432280" size="12" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="279" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_1" type="Transpose" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I32"> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="414,input.127"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="280" name="self.encoder.mid_block.attentions.0.group_norm.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="28432292" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.group_norm.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="281" name="self.encoder.mid_block.attentions.0.group_norm.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="28434340" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.group_norm.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="282" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="417"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="283" name="self.encoder.mid_block.attentions.0.to_q._openvino_orig_weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512" offset="28436388" size="262144" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="284" name="Convert_2096047" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="285" name="self.encoder.mid_block.attentions.0.to_q._openvino_orig_weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1" offset="28698532" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="286" name="self.encoder.mid_block.attentions.0.to_q._openvino_orig_weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="287" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="288" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="true" transpose_b="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="289" name="self.encoder.mid_block.attentions.0.to_q._openvino_orig_bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="28699556" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_q._openvino_orig_bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="290" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="291" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="421,query.1"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="292" name="Constant_102287" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700580" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="293" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="435"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="294" name="Constant_101449" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700612" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
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| </output> | |
| </layer> | |
| <layer id="295" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_3" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="436,query"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="296" name="self.encoder.mid_block.attentions.0.to_k._openvino_orig_weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512" offset="28700644" size="262144" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="297" name="Convert_2090668" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="298" name="self.encoder.mid_block.attentions.0.to_k._openvino_orig_weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1" offset="28962788" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="299" name="self.encoder.mid_block.attentions.0.to_k._openvino_orig_weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
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| <layer id="300" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
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| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
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| <layer id="301" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="true" transpose_b="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="302" name="self.encoder.mid_block.attentions.0.to_k._openvino_orig_bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="28963812" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_k._openvino_orig_bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="303" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="304" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="424,key.1"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="305" name="Constant_102288" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700580" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
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| </output> | |
| </layer> | |
| <layer id="306" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="438"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="307" name="Constant_101453" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700612" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="308" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="439,key"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="309" name="self.encoder.mid_block.attentions.0.to_v._openvino_orig_weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512" offset="28964836" size="262144" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="310" name="Convert_2085289" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="311" name="self.encoder.mid_block.attentions.0.to_v._openvino_orig_weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1" offset="29226980" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="312" name="self.encoder.mid_block.attentions.0.to_v._openvino_orig_weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="313" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="314" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="true" transpose_b="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="315" name="self.encoder.mid_block.attentions.0.to_v._openvino_orig_bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="29228004" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_v._openvino_orig_bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="316" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="317" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="427,value.1"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="318" name="Constant_102289" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700580" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="319" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="441"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="320" name="Constant_101457" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="28700612" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="321" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="442,value"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="322" name="__module.encoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13"> | |
| <data causal="false" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="443,hidden_states.35"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="323" name="Constant_101459" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="29229028" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="324" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="444"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="325" name="Constant_102290" type="Const" version="opset1"> | |
| <data element_type="i64" shape="3" offset="29229060" size="24" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="326" name="__module.encoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="448,449,hidden_states.37"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="327" name="self.encoder.mid_block.attentions.0.to_out.0._openvino_orig_weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="512, 512" offset="29229084" size="262144" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="328" name="Convert_2101426" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="329" name="self.encoder.mid_block.attentions.0.to_out.0._openvino_orig_weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1" offset="29491228" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="330" name="self.encoder.mid_block.attentions.0.to_out.0._openvino_orig_weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="331" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="332" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="false" transpose_b="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="333" name="self.encoder.mid_block.attentions.0.to_out.0._openvino_orig_bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="29492252" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_out.0._openvino_orig_bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="334" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <rt_info> | |
| <attribute name="decompression" version="0" /> | |
| </rt_info> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="335" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="452,input.129"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="336" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant_7" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="28432280" size="12" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="337" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| <layer id="360" name="self.encoder.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="361" name="self.encoder.mid_block.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="362" name="__module.encoder.mid_block.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="364" name="__module.encoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="365" name="__module.encoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="366" name="self.encoder.conv_norm_out.weight" type="Const" version="opset1"> | |
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| <edge from-layer="375" from-port="2" to-layer="377" to-port="0" /> | |
| <edge from-layer="376" from-port="0" to-layer="377" to-port="1" /> | |
| <edge from-layer="377" from-port="2" to-layer="383" to-port="0" /> | |
| <edge from-layer="378" from-port="0" to-layer="379" to-port="0" /> | |
| <edge from-layer="379" from-port="1" to-layer="381" to-port="0" /> | |
| <edge from-layer="380" from-port="0" to-layer="381" to-port="1" /> | |
| <edge from-layer="381" from-port="2" to-layer="382" to-port="0" /> | |
| <edge from-layer="382" from-port="1" to-layer="383" to-port="1" /> | |
| <edge from-layer="383" from-port="2" to-layer="385" to-port="0" /> | |
| <edge from-layer="384" from-port="0" to-layer="385" to-port="1" /> | |
| <edge from-layer="385" from-port="2" to-layer="386" to-port="0" /> | |
| </edges> | |
| <rt_info> | |
| <info name="OpenVINO Runtime" value="2026.4.0-22959-99c81491cc3-releases/2026/4" /> | |
| <Runtime_version value="2026.4.0-22959-99c81491cc3-releases/2026/4" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
| <is_python_object value="True" /> | |
| </conversion_parameters> | |
| <nncf> | |
| <friendly_names_were_updated value="True" /> | |
| <version value="3.4.0" /> | |
| <weight_compression> | |
| <advanced_parameters value="{'statistics_path': None, 'lora_adapter_rank': 256, 'group_size_fallback_mode': 'error', 'min_adjusted_group_size': 32, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'backend_params': {}, 'codebook': None, 'adaptive_codebook_params': {'value_type': 'f8e4m3', 'across_blocks': False, 'num_elements': 16}}" /> | |
| <all_layers value="False" /> | |
| <awq value="False" /> | |
| <backup_mode value="int8_asym" /> | |
| <compression_format value="dequantize" /> | |
| <gptq value="False" /> | |
| <group_size value="-1" /> | |
| <ignored_scope value="[]" /> | |
| <lora_correction value="False" /> | |
| <mode value="int8_sym" /> | |
| <ratio value="1.0" /> | |
| <scale_estimation value="False" /> | |
| <sensitivity_metric value="weight_quantization_error" /> | |
| </weight_compression> | |
| </nncf> | |
| <optimum> | |
| <diffusers_version value="0.37.1" /> | |
| <nncf_version value="3.4.0" /> | |
| <optimum_intel_version value="2.2.0" /> | |
| <optimum_version value="2.3.0" /> | |
| <pytorch_version value="2.14.0" /> | |
| <transformers_version value="4.57.6" /> | |
| </optimum> | |
| </rt_info> | |
| </net> | |