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295 kB
| <net name="onnx_Frontend_IR" version="11"> | |
| <layers> | |
| <layer id="0" name="serving_default_args_0" type="Parameter" version="opset1"> | |
| <data shape="1,3,224,224" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="serving_default_args_0"> | |
| <dim>1</dim> | |
| <dim>3</dim> | |
| <dim>224</dim> | |
| <dim>224</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="1" name="Constant_4" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="0" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="2" name="Constant_5" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="0" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="3" name="Constant_3" type="Const" version="opset1"> | |
| <data element_type="f32" shape="" offset="32" size="4" /> | |
| <output> | |
| <port id="0" precision="FP32" /> | |
| </output> | |
| </layer> | |
| <layer id="4" name="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;2" type="Pad" version="opset12"> | |
| <data pad_mode="constant" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>3</dim> | |
| <dim>224</dim> | |
| <dim>224</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| <port id="2" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| <port id="3" precision="FP32" /> | |
| </input> | |
| <output> | |
| <port id="4" precision="FP32" names="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;2"> | |
| <dim>1</dim> | |
| <dim>3</dim> | |
| <dim>226</dim> | |
| <dim>226</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="5" name="const_fold_opt__157" type="Const" version="opset1"> | |
| <data element_type="f32" shape="64, 3, 3, 3" offset="36" size="6912" /> | |
| <output> | |
| <port id="0" precision="FP32" names="const_fold_opt__157"> | |
| <dim>64</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="6" name="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;1/WithoutBiases" type="Convolution" version="opset1"> | |
| <data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>3</dim> | |
| <dim>226</dim> | |
| <dim>226</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>64</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="7" name="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;" type="Const" version="opset1"> | |
| <data element_type="f32" shape="64" offset="6948" size="256" /> | |
| <output> | |
| <port id="0" precision="FP32" names="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;"> | |
| <dim>64</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="8" name="Constant_12" type="Const" version="opset1"> | |
| <data element_type="i64" shape="1" offset="7204" size="8" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="9" name="ShapeOf_18" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>64</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="10" name="ShapeOf_10" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="11" name="ShapeOf_11" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="12" name="Constant_13" type="Const" version="opset1"> | |
| <data element_type="i64" shape="1" offset="7212" size="8" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="13" name="Subtract_14" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="14" name="Broadcast_15" type="Broadcast" version="opset3"> | |
| <data mode="numpy" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="I64"> | |
| <dim>2</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="15" name="Concat_19" type="Concat" version="opset1"> | |
| <data axis="0" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| <port id="2" precision="I64"> | |
| <dim>2</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="16" name="Reshape_20" type="Reshape" version="opset1"> | |
| <data special_zero="false" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>64</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="17" name="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;1" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/backbone.repvgg.RepVGGBlock_layer0/torch.nn.modules.conv.Conv2d_rbr_reparam;1"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="18" name="Relu__5" type="ReLU" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="Relu__5:0"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="19" name="Constant_24" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="0" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="20" name="Constant_25" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="0" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="21" name="Constant_23" type="Const" version="opset1"> | |
| <data element_type="f32" shape="" offset="32" size="4" /> | |
| <output> | |
| <port id="0" precision="FP32" /> | |
| </output> | |
| </layer> | |
| <layer id="22" name="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;1" type="Pad" version="opset12"> | |
| <data pad_mode="constant" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>112</dim> | |
| <dim>112</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| <port id="2" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| <port id="3" precision="FP32" /> | |
| </input> | |
| <output> | |
| <port id="4" precision="FP32" names="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;1"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>114</dim> | |
| <dim>114</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="23" name="const_fold_opt__208" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128, 64, 3, 3" offset="7220" size="294912" /> | |
| <output> | |
| <port id="0" precision="FP32" names="const_fold_opt__208"> | |
| <dim>128</dim> | |
| <dim>64</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="24" name="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;1/WithoutBiases" type="Convolution" version="opset1"> | |
| <data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>64</dim> | |
| <dim>114</dim> | |
| <dim>114</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>64</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
| <dim>56</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="25" name="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="302132" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;"> | |
| <dim>128</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="26" name="Constant_32" type="Const" version="opset1"> | |
| <data element_type="i64" shape="1" offset="7204" size="8" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="27" name="ShapeOf_38" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>128</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="28" name="ShapeOf_30" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
| <dim>56</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
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| </output> | |
| </layer> | |
| <layer id="29" name="ShapeOf_31" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="30" name="Constant_33" type="Const" version="opset1"> | |
| <data element_type="i64" shape="1" offset="7212" size="8" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="31" name="Subtract_34" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="I64"> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="32" name="Broadcast_35" type="Broadcast" version="opset3"> | |
| <data mode="numpy" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
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| <dim>1</dim> | |
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| <output> | |
| <port id="2" precision="I64"> | |
| <dim>2</dim> | |
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| </output> | |
| </layer> | |
| <layer id="33" name="Concat_39" type="Concat" version="opset1"> | |
| <data axis="0" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>1</dim> | |
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| <port id="1" precision="I64"> | |
| <dim>1</dim> | |
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| <port id="2" precision="I64"> | |
| <dim>2</dim> | |
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| <output> | |
| <port id="3" precision="I64"> | |
| <dim>4</dim> | |
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| </output> | |
| </layer> | |
| <layer id="34" name="Reshape_40" type="Reshape" version="opset1"> | |
| <data special_zero="false" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>128</dim> | |
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| <port id="1" precision="I64"> | |
| <dim>4</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="35" name="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;1" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
| <dim>56</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.activation.ReLU_nonlinearity;;__main__.Wrap/torch.nn.modules.container.Sequential_layer1/backbone.repvgg.RepVGGBlock_0/torch.nn.modules.conv.Conv2d_rbr_reparam;1"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
| <dim>56</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="36" name="Relu__7" type="ReLU" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
| <dim>56</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="Relu__7:0"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
| <dim>56</dim> | |
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| </rt_info> | |
| </net> | |