| { |
| "format": "cellmap-train-graph/1", |
| "layout": "NDHWC", |
| "input": "input", |
| "output": "output", |
| "context": 88, |
| "params": { |
| "encoder0.conv1.weight": { |
| "shape": [ |
| 32, |
| 1, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder0.conv1.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn1.weight": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn1.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn1.running_mean": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "encoder0.bn1.running_var": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "encoder0.conv2.weight": { |
| "shape": [ |
| 32, |
| 32, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder0.conv2.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn2.weight": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn2.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "encoder0.bn2.running_mean": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "encoder0.bn2.running_var": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "encoder1.conv1.weight": { |
| "shape": [ |
| 64, |
| 32, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder1.conv1.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn1.weight": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn1.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn1.running_mean": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "encoder1.bn1.running_var": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "encoder1.conv2.weight": { |
| "shape": [ |
| 64, |
| 64, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder1.conv2.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn2.weight": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn2.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "encoder1.bn2.running_mean": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "encoder1.bn2.running_var": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "encoder2.conv1.weight": { |
| "shape": [ |
| 128, |
| 64, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder2.conv1.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn1.weight": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn1.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn1.running_mean": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "encoder2.bn1.running_var": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "encoder2.conv2.weight": { |
| "shape": [ |
| 128, |
| 128, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "encoder2.conv2.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn2.weight": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn2.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "encoder2.bn2.running_mean": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "encoder2.bn2.running_var": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "bottleneck.conv1.weight": { |
| "shape": [ |
| 256, |
| 128, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.conv1.bias": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn1.weight": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn1.bias": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn1.running_mean": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": false |
| }, |
| "bottleneck.bn1.running_var": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": false |
| }, |
| "bottleneck.conv2.weight": { |
| "shape": [ |
| 256, |
| 256, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.conv2.bias": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn2.weight": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn2.bias": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": true |
| }, |
| "bottleneck.bn2.running_mean": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": false |
| }, |
| "bottleneck.bn2.running_var": { |
| "shape": [ |
| 256 |
| ], |
| "trainable": false |
| }, |
| "upconv2.weight": { |
| "shape": [ |
| 256, |
| 128, |
| 2, |
| 2, |
| 2 |
| ], |
| "trainable": true |
| }, |
| "upconv2.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.conv1.weight": { |
| "shape": [ |
| 128, |
| 256, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder2.conv1.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn1.weight": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn1.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn1.running_mean": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "decoder2.bn1.running_var": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "decoder2.conv2.weight": { |
| "shape": [ |
| 128, |
| 128, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder2.conv2.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn2.weight": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn2.bias": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": true |
| }, |
| "decoder2.bn2.running_mean": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "decoder2.bn2.running_var": { |
| "shape": [ |
| 128 |
| ], |
| "trainable": false |
| }, |
| "upconv1.weight": { |
| "shape": [ |
| 128, |
| 64, |
| 2, |
| 2, |
| 2 |
| ], |
| "trainable": true |
| }, |
| "upconv1.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.conv1.weight": { |
| "shape": [ |
| 64, |
| 128, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder1.conv1.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn1.weight": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn1.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn1.running_mean": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "decoder1.bn1.running_var": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "decoder1.conv2.weight": { |
| "shape": [ |
| 64, |
| 64, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder1.conv2.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn2.weight": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn2.bias": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": true |
| }, |
| "decoder1.bn2.running_mean": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "decoder1.bn2.running_var": { |
| "shape": [ |
| 64 |
| ], |
| "trainable": false |
| }, |
| "upconv0.weight": { |
| "shape": [ |
| 64, |
| 32, |
| 2, |
| 2, |
| 2 |
| ], |
| "trainable": true |
| }, |
| "upconv0.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.conv1.weight": { |
| "shape": [ |
| 32, |
| 64, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder0.conv1.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn1.weight": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn1.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn1.running_mean": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "decoder0.bn1.running_var": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "decoder0.conv2.weight": { |
| "shape": [ |
| 32, |
| 32, |
| 3, |
| 3, |
| 3 |
| ], |
| "trainable": true |
| }, |
| "decoder0.conv2.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn2.weight": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn2.bias": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": true |
| }, |
| "decoder0.bn2.running_mean": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "decoder0.bn2.running_var": { |
| "shape": [ |
| 32 |
| ], |
| "trainable": false |
| }, |
| "final_conv.weight": { |
| "shape": [ |
| 1, |
| 32, |
| 1, |
| 1, |
| 1 |
| ], |
| "trainable": true |
| }, |
| "final_conv.bias": { |
| "shape": [ |
| 1 |
| ], |
| "trainable": true |
| } |
| }, |
| "ops": [ |
| { |
| "op": "conv", |
| "x": "input", |
| "y": "/encoder0/conv1/Conv_output_0", |
| "w": "encoder0.conv1.weight", |
| "b": "encoder0.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder0/conv1/Conv_output_0", |
| "y": "/encoder0/bn1/BatchNormalization_output_0", |
| "scale": "encoder0.bn1.weight", |
| "bias": "encoder0.bn1.bias", |
| "mean": "encoder0.bn1.running_mean", |
| "var": "encoder0.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder0/bn1/BatchNormalization_output_0", |
| "y": "/encoder0/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/encoder0/act/Relu_output_0", |
| "y": "/encoder0/conv2/Conv_output_0", |
| "w": "encoder0.conv2.weight", |
| "b": "encoder0.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder0/conv2/Conv_output_0", |
| "y": "/encoder0/bn2/BatchNormalization_output_0", |
| "scale": "encoder0.bn2.weight", |
| "bias": "encoder0.bn2.bias", |
| "mean": "encoder0.bn2.running_mean", |
| "var": "encoder0.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder0/bn2/BatchNormalization_output_0", |
| "y": "/encoder0/act_1/Relu_output_0" |
| }, |
| { |
| "op": "maxpool", |
| "x": "/encoder0/act_1/Relu_output_0", |
| "y": "/pool1/MaxPool_output_0", |
| "k": [ |
| 2, |
| 2, |
| 2 |
| ], |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "conv", |
| "x": "/pool1/MaxPool_output_0", |
| "y": "/encoder1/conv1/Conv_output_0", |
| "w": "encoder1.conv1.weight", |
| "b": "encoder1.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder1/conv1/Conv_output_0", |
| "y": "/encoder1/bn1/BatchNormalization_output_0", |
| "scale": "encoder1.bn1.weight", |
| "bias": "encoder1.bn1.bias", |
| "mean": "encoder1.bn1.running_mean", |
| "var": "encoder1.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder1/bn1/BatchNormalization_output_0", |
| "y": "/encoder1/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/encoder1/act/Relu_output_0", |
| "y": "/encoder1/conv2/Conv_output_0", |
| "w": "encoder1.conv2.weight", |
| "b": "encoder1.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder1/conv2/Conv_output_0", |
| "y": "/encoder1/bn2/BatchNormalization_output_0", |
| "scale": "encoder1.bn2.weight", |
| "bias": "encoder1.bn2.bias", |
| "mean": "encoder1.bn2.running_mean", |
| "var": "encoder1.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder1/bn2/BatchNormalization_output_0", |
| "y": "/encoder1/act_1/Relu_output_0" |
| }, |
| { |
| "op": "maxpool", |
| "x": "/encoder1/act_1/Relu_output_0", |
| "y": "/pool2/MaxPool_output_0", |
| "k": [ |
| 2, |
| 2, |
| 2 |
| ], |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "conv", |
| "x": "/pool2/MaxPool_output_0", |
| "y": "/encoder2/conv1/Conv_output_0", |
| "w": "encoder2.conv1.weight", |
| "b": "encoder2.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder2/conv1/Conv_output_0", |
| "y": "/encoder2/bn1/BatchNormalization_output_0", |
| "scale": "encoder2.bn1.weight", |
| "bias": "encoder2.bn1.bias", |
| "mean": "encoder2.bn1.running_mean", |
| "var": "encoder2.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder2/bn1/BatchNormalization_output_0", |
| "y": "/encoder2/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/encoder2/act/Relu_output_0", |
| "y": "/encoder2/conv2/Conv_output_0", |
| "w": "encoder2.conv2.weight", |
| "b": "encoder2.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/encoder2/conv2/Conv_output_0", |
| "y": "/encoder2/bn2/BatchNormalization_output_0", |
| "scale": "encoder2.bn2.weight", |
| "bias": "encoder2.bn2.bias", |
| "mean": "encoder2.bn2.running_mean", |
| "var": "encoder2.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/encoder2/bn2/BatchNormalization_output_0", |
| "y": "/encoder2/act_1/Relu_output_0" |
| }, |
| { |
| "op": "maxpool", |
| "x": "/encoder2/act_1/Relu_output_0", |
| "y": "/pool3/MaxPool_output_0", |
| "k": [ |
| 2, |
| 2, |
| 2 |
| ], |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "conv", |
| "x": "/pool3/MaxPool_output_0", |
| "y": "/bottleneck/conv1/Conv_output_0", |
| "w": "bottleneck.conv1.weight", |
| "b": "bottleneck.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/bottleneck/conv1/Conv_output_0", |
| "y": "/bottleneck/bn1/BatchNormalization_output_0", |
| "scale": "bottleneck.bn1.weight", |
| "bias": "bottleneck.bn1.bias", |
| "mean": "bottleneck.bn1.running_mean", |
| "var": "bottleneck.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/bottleneck/bn1/BatchNormalization_output_0", |
| "y": "/bottleneck/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/bottleneck/act/Relu_output_0", |
| "y": "/bottleneck/conv2/Conv_output_0", |
| "w": "bottleneck.conv2.weight", |
| "b": "bottleneck.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/bottleneck/conv2/Conv_output_0", |
| "y": "/bottleneck/bn2/BatchNormalization_output_0", |
| "scale": "bottleneck.bn2.weight", |
| "bias": "bottleneck.bn2.bias", |
| "mean": "bottleneck.bn2.running_mean", |
| "var": "bottleneck.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/bottleneck/bn2/BatchNormalization_output_0", |
| "y": "/bottleneck/act_1/Relu_output_0" |
| }, |
| { |
| "op": "conv_t", |
| "x": "/bottleneck/act_1/Relu_output_0", |
| "y": "/upconv2/ConvTranspose_output_0", |
| "w": "upconv2.weight", |
| "b": "upconv2.bias", |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "crop", |
| "x": "/encoder2/act_1/Relu_output_0", |
| "y": "/cc2/Slice_output_0", |
| "axis": "d", |
| "start": 4, |
| "end_margin": 4 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc2/Slice_output_0", |
| "y": "/cc2/Slice_1_output_0", |
| "axis": "h", |
| "start": 4, |
| "end_margin": 4 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc2/Slice_1_output_0", |
| "y": "/cc2/Slice_2_output_0", |
| "axis": "w", |
| "start": 4, |
| "end_margin": 4 |
| }, |
| { |
| "op": "concat", |
| "xs": [ |
| "/cc2/Slice_2_output_0", |
| "/upconv2/ConvTranspose_output_0" |
| ], |
| "y": "/cc2/Concat_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/cc2/Concat_output_0", |
| "y": "/decoder2/conv1/Conv_output_0", |
| "w": "decoder2.conv1.weight", |
| "b": "decoder2.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder2/conv1/Conv_output_0", |
| "y": "/decoder2/bn1/BatchNormalization_output_0", |
| "scale": "decoder2.bn1.weight", |
| "bias": "decoder2.bn1.bias", |
| "mean": "decoder2.bn1.running_mean", |
| "var": "decoder2.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder2/bn1/BatchNormalization_output_0", |
| "y": "/decoder2/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/decoder2/act/Relu_output_0", |
| "y": "/decoder2/conv2/Conv_output_0", |
| "w": "decoder2.conv2.weight", |
| "b": "decoder2.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder2/conv2/Conv_output_0", |
| "y": "/decoder2/bn2/BatchNormalization_output_0", |
| "scale": "decoder2.bn2.weight", |
| "bias": "decoder2.bn2.bias", |
| "mean": "decoder2.bn2.running_mean", |
| "var": "decoder2.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder2/bn2/BatchNormalization_output_0", |
| "y": "/decoder2/act_1/Relu_output_0" |
| }, |
| { |
| "op": "conv_t", |
| "x": "/decoder2/act_1/Relu_output_0", |
| "y": "/upconv1/ConvTranspose_output_0", |
| "w": "upconv1.weight", |
| "b": "upconv1.bias", |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "crop", |
| "x": "/encoder1/act_1/Relu_output_0", |
| "y": "/cc1/Slice_output_0", |
| "axis": "d", |
| "start": 16, |
| "end_margin": 16 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc1/Slice_output_0", |
| "y": "/cc1/Slice_1_output_0", |
| "axis": "h", |
| "start": 16, |
| "end_margin": 16 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc1/Slice_1_output_0", |
| "y": "/cc1/Slice_2_output_0", |
| "axis": "w", |
| "start": 16, |
| "end_margin": 16 |
| }, |
| { |
| "op": "concat", |
| "xs": [ |
| "/cc1/Slice_2_output_0", |
| "/upconv1/ConvTranspose_output_0" |
| ], |
| "y": "/cc1/Concat_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/cc1/Concat_output_0", |
| "y": "/decoder1/conv1/Conv_output_0", |
| "w": "decoder1.conv1.weight", |
| "b": "decoder1.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder1/conv1/Conv_output_0", |
| "y": "/decoder1/bn1/BatchNormalization_output_0", |
| "scale": "decoder1.bn1.weight", |
| "bias": "decoder1.bn1.bias", |
| "mean": "decoder1.bn1.running_mean", |
| "var": "decoder1.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder1/bn1/BatchNormalization_output_0", |
| "y": "/decoder1/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/decoder1/act/Relu_output_0", |
| "y": "/decoder1/conv2/Conv_output_0", |
| "w": "decoder1.conv2.weight", |
| "b": "decoder1.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder1/conv2/Conv_output_0", |
| "y": "/decoder1/bn2/BatchNormalization_output_0", |
| "scale": "decoder1.bn2.weight", |
| "bias": "decoder1.bn2.bias", |
| "mean": "decoder1.bn2.running_mean", |
| "var": "decoder1.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder1/bn2/BatchNormalization_output_0", |
| "y": "/decoder1/act_1/Relu_output_0" |
| }, |
| { |
| "op": "conv_t", |
| "x": "/decoder1/act_1/Relu_output_0", |
| "y": "/upconv0/ConvTranspose_output_0", |
| "w": "upconv0.weight", |
| "b": "upconv0.bias", |
| "stride": [ |
| 2, |
| 2, |
| 2 |
| ] |
| }, |
| { |
| "op": "crop", |
| "x": "/encoder0/act_1/Relu_output_0", |
| "y": "/cc0/Slice_output_0", |
| "axis": "d", |
| "start": 40, |
| "end_margin": 40 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc0/Slice_output_0", |
| "y": "/cc0/Slice_1_output_0", |
| "axis": "h", |
| "start": 40, |
| "end_margin": 40 |
| }, |
| { |
| "op": "crop", |
| "x": "/cc0/Slice_1_output_0", |
| "y": "/cc0/Slice_2_output_0", |
| "axis": "w", |
| "start": 40, |
| "end_margin": 40 |
| }, |
| { |
| "op": "concat", |
| "xs": [ |
| "/cc0/Slice_2_output_0", |
| "/upconv0/ConvTranspose_output_0" |
| ], |
| "y": "/cc0/Concat_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/cc0/Concat_output_0", |
| "y": "/decoder0/conv1/Conv_output_0", |
| "w": "decoder0.conv1.weight", |
| "b": "decoder0.conv1.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder0/conv1/Conv_output_0", |
| "y": "/decoder0/bn1/BatchNormalization_output_0", |
| "scale": "decoder0.bn1.weight", |
| "bias": "decoder0.bn1.bias", |
| "mean": "decoder0.bn1.running_mean", |
| "var": "decoder0.bn1.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder0/bn1/BatchNormalization_output_0", |
| "y": "/decoder0/act/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/decoder0/act/Relu_output_0", |
| "y": "/decoder0/conv2/Conv_output_0", |
| "w": "decoder0.conv2.weight", |
| "b": "decoder0.conv2.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| }, |
| { |
| "op": "bn", |
| "x": "/decoder0/conv2/Conv_output_0", |
| "y": "/decoder0/bn2/BatchNormalization_output_0", |
| "scale": "decoder0.bn2.weight", |
| "bias": "decoder0.bn2.bias", |
| "mean": "decoder0.bn2.running_mean", |
| "var": "decoder0.bn2.running_var", |
| "eps": 9.999999747378752e-06 |
| }, |
| { |
| "op": "relu", |
| "x": "/decoder0/bn2/BatchNormalization_output_0", |
| "y": "/decoder0/act_1/Relu_output_0" |
| }, |
| { |
| "op": "conv", |
| "x": "/decoder0/act_1/Relu_output_0", |
| "y": "output", |
| "w": "final_conv.weight", |
| "b": "final_conv.bias", |
| "stride": [ |
| 1, |
| 1, |
| 1 |
| ] |
| } |
| ] |
| } |
