Instructions to use MercuryNex/hyperlcm-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MercuryNex/hyperlcm-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MercuryNex/hyperlcm-openvino", 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
- Draw Things
- DiffusionBee
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| <layer id="43" name="self.encoder.down_blocks.1.resnets.0.conv_shortcut.weight" type="Const" version="opset1"> | |
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| <layer id="44" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="45" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="46" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="47" name="self.encoder.down_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="48" name="self.encoder.down_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1"> | |
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| <layer id="49" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="50" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="137,input.33"> | |
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| <layer id="51" name="self.encoder.down_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="52" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <layer id="53" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="54" name="__module.encoder.down_blocks.1.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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| <port id="2" precision="FP32" names="144,input.35"> | |
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| <layer id="55" name="self.encoder.down_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm2.weight"> | |
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| <layer id="56" 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="57" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <port id="3" precision="FP32" names="147,input.37"> | |
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| <layer id="58" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="148,input.39"> | |
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| <layer id="59" name="self.encoder.down_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.conv2.weight"> | |
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| <layer id="60" name="__module.encoder.down_blocks.1.resnets.0.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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| <layer id="61" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="62" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="156,hidden_states.9"> | |
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| <layer id="63" name="__module.encoder.down_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <layer id="85" name="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1"> | |
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| <layer id="86" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="87" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="88" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="89" name="self.encoder.down_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="91" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="92" name="__module.encoder.down_blocks.2.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="93" name="self.encoder.down_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="94" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="96" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="104" name="__module.encoder.down_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="105" name="__module.encoder.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="106" name="self.encoder.down_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="107" name="self.encoder.down_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1"> | |
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| <layer id="108" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <port id="3" precision="FP32" names="262,input.77"> | |
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| <layer id="109" name="__module.encoder.down_blocks.2.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="110" name="self.encoder.down_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="111" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="112" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="113" name="__module.encoder.down_blocks.2.resnets.1.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="2" precision="FP32" names="270,input.81"> | |
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| <layer id="114" name="self.encoder.down_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="115" 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="116" 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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| <port id="0" precision="FP32"> | |
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| <port id="3" precision="FP32" names="273,input.83"> | |
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| <layer id="117" name="__module.encoder.down_blocks.2.resnets.1.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="274,input.85"> | |
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| <layer id="118" name="self.encoder.down_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.1.conv2.weight"> | |
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| <layer id="119" name="__module.encoder.down_blocks.2.resnets.1.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" /> | |
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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="120" 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="47289856" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="121" 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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| <output> | |
| <port id="2" precision="FP32" names="282,hidden_states.19"> | |
| <dim>-1</dim> | |
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| <layer id="122" name="__module.encoder.down_blocks.2.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="283,284,hidden_states.21"> | |
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| <layer id="123" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.2.downsamplers.0.conv.weight"> | |
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| <layer id="124" name="__module.encoder.down_blocks.2.downsamplers.0.conv/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="125" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="126" name="__module.encoder.down_blocks.2.downsamplers.0.conv/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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| <layer id="127" name="self.encoder.down_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.0.norm1.weight"> | |
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| <layer id="128" name="self.encoder.down_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.0.norm1.bias"> | |
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| <layer id="140" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="142" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="143" name="__module.encoder.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="144" name="self.encoder.down_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="147" name="__module.encoder.down_blocks.3.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="148" name="self.encoder.down_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="149" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="150" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="151" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="152" name="self.encoder.down_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="153" name="self.encoder.down_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.1.norm2.bias"> | |
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| <layer id="154" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="155" name="__module.encoder.down_blocks.3.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <layer id="156" name="self.encoder.down_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="157" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="159" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="164" name="__module.encoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="165" name="self.encoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="166" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="167" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="168" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <layer id="169" name="self.encoder.mid_block.resnets.0.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="170" name="self.encoder.mid_block.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <layer id="171" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="172" name="__module.encoder.mid_block.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <layer id="173" name="self.encoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="174" name="__module.encoder.mid_block.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="175" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="176" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32" names="395,hidden_states.29"> | |
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| <layer id="177" name="__module.encoder.mid_block.resnets.0/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="2" precision="FP32" names="396,397,hidden_states.31"> | |
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| <layer id="178" name="Constant_354781" type="Const" version="opset1"> | |
| <data element_type="i64" shape="3" offset="113366528" size="24" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="179" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <layer id="180" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="113366552" size="12" /> | |
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| <port id="0" precision="I32"> | |
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| <layer id="181" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1"> | |
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| <layer id="182" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant_1" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="113366552" size="12" /> | |
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| <port id="0" precision="I32"> | |
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| <layer id="183" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_1" type="Transpose" version="opset1"> | |
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| <layer id="184" name="self.encoder.mid_block.attentions.0.group_norm.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.group_norm.weight"> | |
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| <layer id="185" name="self.encoder.mid_block.attentions.0.group_norm.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.group_norm.bias"> | |
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| <layer id="186" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="187" name="self.encoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_q.weight"> | |
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| <layer id="188" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
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| <attribute name="decompression" version="0" /> | |
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| <dim>512</dim> | |
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| <layer id="189" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="true" transpose_b="true" /> | |
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| <layer id="190" name="self.encoder.mid_block.attentions.0.to_q.bias" type="Const" version="opset1"> | |
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| <layer id="191" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
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| <layer id="192" name="__module.encoder.mid_block.attentions.0.to_q/ov_ext::linear/Add" type="Add" version="opset1"> | |
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| <layer id="193" name="Constant_354782" type="Const" version="opset1"> | |
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| <layer id="194" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1"> | |
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| <layer id="195" name="Constant_354467" type="Const" version="opset1"> | |
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| <layer id="197" name="self.encoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1"> | |
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| <layer id="198" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
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| <dim>512</dim> | |
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| <layer id="199" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
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| <layer id="200" name="self.encoder.mid_block.attentions.0.to_k.bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="114416228" size="1024" /> | |
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| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_k.bias"> | |
| <dim>512</dim> | |
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| <layer id="201" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="202" name="__module.encoder.mid_block.attentions.0.to_k/ov_ext::linear/Add" type="Add" version="opset1"> | |
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| <layer id="203" name="Constant_354783" type="Const" version="opset1"> | |
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| <port id="0" precision="I64"> | |
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| <layer id="204" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1"> | |
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| <layer id="205" name="Constant_354491" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="113891908" size="32" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="206" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1"> | |
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| <layer id="207" name="self.encoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 512" offset="114417252" size="524288" /> | |
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| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_v.weight"> | |
| <dim>512</dim> | |
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| <layer id="208" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <attribute name="decompression" version="0" /> | |
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| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <layer id="209" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="true" transpose_b="true" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <dim>512</dim> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
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| <dim>512</dim> | |
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| </layer> | |
| <layer id="210" name="self.encoder.mid_block.attentions.0.to_v.bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="114941540" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_v.bias"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="211" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <attribute name="decompression" version="0" /> | |
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| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="212" name="__module.encoder.mid_block.attentions.0.to_v/ov_ext::linear/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="429,value.1"> | |
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| <layer id="213" name="Constant_354784" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="113891876" size="32" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="214" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="2" precision="FP32" names="443"> | |
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| <dim>512</dim> | |
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| <layer id="215" name="Constant_354515" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="113891908" size="32" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="216" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="2" precision="FP32" names="444,value"> | |
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| <dim>512</dim> | |
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| <layer id="217" name="__module.encoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13"> | |
| <data causal="false" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <dim>1</dim> | |
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| <port id="2" precision="FP32"> | |
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| <dim>512</dim> | |
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| <port id="3" precision="FP32" names="445,hidden_states.35"> | |
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| <layer id="218" name="Constant_354525" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="114942564" size="32" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="219" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="I64"> | |
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| <port id="2" precision="FP32" names="446"> | |
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| <layer id="220" name="Constant_354785" type="Const" version="opset1"> | |
| <data element_type="i64" shape="3" offset="114942596" size="24" /> | |
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| <port id="0" precision="I64"> | |
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| <layer id="221" name="__module.encoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="I64"> | |
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| <output> | |
| <port id="2" precision="FP32" names="450,451,hidden_states.37"> | |
| <dim>-1</dim> | |
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| <layer id="222" name="self.encoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 512" offset="114942620" size="524288" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_out.0.weight"> | |
| <dim>512</dim> | |
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| </output> | |
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| <layer id="223" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/Convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <attribute name="decompression" version="0" /> | |
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| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="224" 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> | |
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| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="225" name="self.encoder.mid_block.attentions.0.to_out.0.bias" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512" offset="115466908" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16" names="self.encoder.mid_block.attentions.0.to_out.0.bias"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="226" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/Convert_1" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <attribute name="decompression" version="0" /> | |
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| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
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| </output> | |
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| <layer id="227" name="__module.encoder.mid_block.attentions.0.to_out.0/ov_ext::linear/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"> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="2" precision="FP32" names="454,input.133"> | |
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| <layer id="228" name="__module.encoder.mid_block.attentions.0/aten::transpose/Constant_7" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="113366552" size="12" /> | |
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| <port id="0" precision="I32"> | |
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| <layer id="229" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="I32"> | |
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| <port id="2" precision="FP32" names="456"> | |
| <dim>-1</dim> | |
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| <layer id="230" name="__module.encoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <output> | |
| <port id="1" precision="I64"> | |
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| <layer id="231" name="__module.encoder.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1"> | |
| <data special_zero="false" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="I64"> | |
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| <output> | |
| <port id="2" precision="FP32" names="458,hidden_states.41"> | |
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| <layer id="232" name="__module.encoder.mid_block.attentions.0/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="459,460,hidden_states.43,input.135"> | |
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| <rt_info> | |
| <Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
| <is_python_object value="True" /> | |
| </conversion_parameters> | |
| <optimum> | |
| <diffusers_version value="0.34.0" /> | |
| <optimum_intel_version value="1.24.0" /> | |
| <optimum_version value="1.26.1" /> | |
| <pytorch_version value="2.7.1" /> | |
| <transformers_version value="4.52.4" /> | |
| </optimum> | |
| </rt_info> | |
| </net> | |