pytorch

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node {
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  name: "conv1/XavierFill"
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  op: "XavierFill"
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node {
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  name: "conv1/ConstantFill"
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node {
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  name: "classifier/XavierFill"
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node {
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  name: "classifier/ConstantFill"
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  op: "ConstantFill"
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node {
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  name: "conv1/Conv"
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  op: "Conv"
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  input: "conv1/data"
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  input: "conv1/conv1_w"
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  input: "conv1/conv1_b"
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    key: "order"
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  attr {
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    key: "stride"
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    value {
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      i: 4
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}
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node {
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  name: "conv1/Relu"
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  op: "Relu"
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  input: "conv1/conv1"
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    key: "order"
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node {
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  name: "conv1/MaxPool"
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  op: "MaxPool"
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  input: "conv1/conv1_1"
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    key: "cudnn_exhaustive_search"
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    key: "kernel"
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    key: "order"
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  attr {
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    key: "stride"
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    value {
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      i: 2
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}
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node {
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  name: "classifier/FC"
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  op: "FC"
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  input: "conv1/pool1"
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  input: "classifier/fc_w"
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  input: "classifier/fc_b"
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    key: "order"
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    key: "use_cudnn"
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      i: 1
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node {
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  name: "classifier/Softmax"
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  op: "Softmax"
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  input: "classifier/fc"
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    key: "cudnn_exhaustive_search"
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  attr {
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    key: "order"
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      s: "NCHW"
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}
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node {
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  name: "classifier/LabelCrossEntropy"
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  op: "LabelCrossEntropy"
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  input: "classifier/pred"
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  input: "classifier/label"
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}
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node {
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  name: "classifier/AveragedLoss"
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  op: "AveragedLoss"
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  input: "classifier/xent"
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}
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node {
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  name: "conv1/conv1_w"
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  op: "Blob"
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  input: "conv1/XavierFill:0"
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}
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node {
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  name: "conv1/conv1_b"
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  op: "Blob"
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  input: "conv1/ConstantFill:0"
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}
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node {
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  name: "classifier/fc_w"
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  op: "Blob"
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  input: "classifier/XavierFill:0"
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}
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node {
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  name: "classifier/fc_b"
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  op: "Blob"
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  input: "classifier/ConstantFill:0"
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}
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node {
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  name: "conv1/data"
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  op: "Placeholder"
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}
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node {
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  name: "conv1/conv1_w"
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  op: "Blob"
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  input: "conv1/XavierFill:0"
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}
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node {
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  name: "conv1/conv1_b"
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  op: "Blob"
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  input: "conv1/ConstantFill:0"
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}
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node {
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  name: "conv1/conv1"
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  op: "Blob"
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  input: "conv1/Conv:0"
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}
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node {
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  name: "conv1/conv1"
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  op: "Blob"
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  input: "conv1/Conv:0"
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}
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node {
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  name: "conv1/conv1_1"
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  op: "Blob"
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  input: "conv1/Relu:0"
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}
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node {
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  name: "conv1/conv1_1"
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  op: "Blob"
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  input: "conv1/Relu:0"
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}
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node {
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  name: "conv1/pool1"
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  op: "Blob"
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  input: "conv1/MaxPool:0"
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}
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node {
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  name: "conv1/pool1"
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  op: "Blob"
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  input: "conv1/MaxPool:0"
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}
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node {
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  name: "classifier/fc_w"
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  op: "Blob"
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  input: "classifier/XavierFill:0"
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}
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node {
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  name: "classifier/fc_b"
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  op: "Blob"
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  input: "classifier/ConstantFill:0"
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}
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node {
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  name: "classifier/fc"
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  op: "Blob"
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  input: "classifier/FC:0"
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}
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node {
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  name: "classifier/fc"
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  op: "Blob"
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  input: "classifier/FC:0"
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}
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node {
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  name: "classifier/pred"
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  op: "Blob"
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  input: "classifier/Softmax:0"
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}
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node {
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  name: "classifier/pred"
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  op: "Blob"
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  input: "classifier/Softmax:0"
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}
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node {
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  name: "classifier/label"
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  op: "Placeholder"
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}
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node {
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  name: "classifier/xent"
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  op: "Blob"
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  input: "classifier/LabelCrossEntropy:0"
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}
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node {
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  name: "classifier/xent"
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  op: "Blob"
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  input: "classifier/LabelCrossEntropy:0"
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}
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node {
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  name: "classifier/loss"
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  op: "Blob"
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  input: "classifier/AveragedLoss:0"
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}
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