OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-07 12:21:27 +01:00
Code Issues Actions 38 Packages Projects Releases Wiki Activity
3058700f7f
pytorch/test/expect/TestTensorBoard.test_caffe2_simple_model.expect
Orion Reblitz-Richardson 858d4a6a04 Cleanup API and remove 'experimental' warning (#23000) 
Summary:
This fixes ASAN test issues with https://github.com/pytorch/pytorch/pull/21786 seen at https://circleci.com/api/v1.1/project/github/pytorch/pytorch/2212325/output/105/0?file=true and lands it again.

This cleans up the `torch.utils.tensorboard` API to remove all kwargs usage (which isn't clear to the  user) and removes the "experimental" warning in prep for our 1.2 release.

We also don't need the additional PyTorch version checks now that we are in the codebase itself.

cc yf225, lanpa, natalialunova
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23000

Reviewed By: sanekmelnikov

Differential Revision: D16349734

Pulled By: orionr

fbshipit-source-id: 604a9cad56868a55e08b509a0c6f42b84f68de95
2019-07-22 12:10:05 -07:00

1043 lines
16 KiB
Plaintext
Raw Blame History

node {
name: "conv1/XavierFill"
op: "XavierFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 20
}
dim {
size: 1
}
dim {
size: 5
}
dim {
size: 5
}
}
}
}
}
}
node {
name: "conv1/ConstantFill"
op: "ConstantFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 20
}
}
}
}
}
}
node {
name: "conv1/XavierFill_1"
op: "XavierFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 20
}
dim {
size: 5
}
dim {
size: 5
}
}
}
}
}
}
node {
name: "conv1/ConstantFill_1"
op: "ConstantFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
}
node {
name: "classifier/XavierFill"
op: "XavierFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 500
}
dim {
size: 1600
}
}
}
}
}
}
node {
name: "classifier/ConstantFill"
op: "ConstantFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 500
}
}
}
}
}
}
node {
name: "classifier/XavierFill_1"
op: "XavierFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 10
}
dim {
size: 500
}
}
}
}
}
}
node {
name: "classifier/ConstantFill_1"
op: "ConstantFill"
device: "/cpu:*"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 10
}
}
}
}
}
}
node {
name: "conv1/Conv"
op: "Conv"
input: "conv1/data"
input: "conv1/conv1_w"
input: "conv1/conv1_b"
device: "/cpu:*"
attr {
key: "exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 5
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "conv1/MaxPool"
op: "MaxPool"
input: "conv1/conv1"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 2
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "stride"
value {
i: 2
}
}
}
node {
name: "conv1/Conv_1"
op: "Conv"
input: "conv1/pool1"
input: "conv1/conv2_w"
input: "conv1/conv2_b"
device: "/cpu:*"
attr {
key: "exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 5
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "conv1/MaxPool_1"
op: "MaxPool"
input: "conv1/conv2"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 2
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "stride"
value {
i: 2
}
}
}
node {
name: "classifier/FC"
op: "FC"
input: "conv1/pool2"
input: "classifier/fc3_w"
input: "classifier/fc3_b"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "use_cudnn"
value {
i: 1
}
}
}
node {
name: "classifier/Relu"
op: "Relu"
input: "classifier/fc3"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "classifier/FC_1"
op: "FC"
input: "classifier/fc3_1"
input: "classifier/pred_w"
input: "classifier/pred_b"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "use_cudnn"
value {
i: 1
}
}
}
node {
name: "classifier/Softmax"
op: "Softmax"
input: "classifier/pred"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "classifier/LabelCrossEntropy"
op: "LabelCrossEntropy"
input: "classifier/softmax"
input: "classifier/label"
device: "/cpu:*"
}
node {
name: "classifier/AveragedLoss"
op: "AveragedLoss"
input: "classifier/xent"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/ConstantFill"
op: "ConstantFill"
input: "classifier/loss"
device: "/cpu:*"
attr {
key: "value"
value {
f: 1.0
}
}
}
node {
name: "GRADIENTS/classifier/AveragedLossGradient"
op: "AveragedLossGradient"
input: "classifier/xent"
input: "GRADIENTS/classifier/loss_autogen_grad"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/LabelCrossEntropyGradient"
op: "LabelCrossEntropyGradient"
input: "classifier/softmax"
input: "classifier/label"
input: "GRADIENTS/classifier/xent_grad"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/SoftmaxGradient"
op: "SoftmaxGradient"
input: "classifier/softmax"
input: "GRADIENTS/classifier/softmax_grad"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "GRADIENTS/classifier/FCGradient"
op: "FCGradient"
input: "classifier/fc3_1"
input: "classifier/pred_w"
input: "GRADIENTS/classifier/pred_grad"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "use_cudnn"
value {
i: 1
}
}
}
node {
name: "GRADIENTS/classifier/ReluGradient"
op: "ReluGradient"
input: "classifier/fc3_1"
input: "GRADIENTS/classifier/fc3_grad"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "GRADIENTS/c/FCGradient"
op: "FCGradient"
input: "conv1/pool2"
input: "classifier/fc3_w"
input: "GRADIENTS/classifier/fc3_grad_1"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "use_cudnn"
value {
i: 1
}
}
}
node {
name: "GRADIENTS/conv1/MaxPoolGradient"
op: "MaxPoolGradient"
input: "conv1/conv2"
input: "conv1/pool2"
input: "GRADIENTS/conv1/pool2_grad"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 2
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "stride"
value {
i: 2
}
}
}
node {
name: "GRADIENTS/conv1/ConvGradient"
op: "ConvGradient"
input: "conv1/pool1"
input: "conv1/conv2_w"
input: "GRADIENTS/conv1/conv2_grad"
device: "/cpu:*"
attr {
key: "exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 5
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
}
node {
name: "GRADIENTS/conv1/MaxPoolGradient_1"
op: "MaxPoolGradient"
input: "conv1/conv1"
input: "conv1/pool1"
input: "GRADIENTS/conv1/pool1_grad"
device: "/cpu:*"
attr {
key: "cudnn_exhaustive_search"
value {
i: 0
}
}
attr {
key: "kernel"
value {
i: 2
}
}
attr {
key: "order"
value {
s: "NCHW"
}
}
attr {
key: "stride"
value {
i: 2
}
}
}
node {
name: "conv1/conv1_w"
op: "Blob"
input: "conv1/XavierFill:0"
device: "/cpu:*"
}
node {
name: "conv1/conv1_b"
op: "Blob"
input: "conv1/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2_w"
op: "Blob"
input: "conv1/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2_b"
op: "Blob"
input: "conv1/ConstantFill_1:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_w"
op: "Blob"
input: "classifier/XavierFill:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_b"
op: "Blob"
input: "classifier/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "classifier/pred_w"
op: "Blob"
input: "classifier/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "classifier/pred_b"
op: "Blob"
input: "classifier/ConstantFill_1:0"
device: "/cpu:*"
}
node {
name: "conv1/data"
op: "Placeholder"
}
node {
name: "conv1/conv1_w"
op: "Blob"
input: "conv1/XavierFill:0"
device: "/cpu:*"
}
node {
name: "conv1/conv1_b"
op: "Blob"
input: "conv1/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "conv1/conv1"
op: "Blob"
input: "conv1/Conv:0"
device: "/cpu:*"
}
node {
name: "conv1/conv1"
op: "Blob"
input: "conv1/Conv:0"
device: "/cpu:*"
}
node {
name: "conv1/pool1"
op: "Blob"
input: "conv1/MaxPool:0"
device: "/cpu:*"
}
node {
name: "conv1/pool1"
op: "Blob"
input: "conv1/MaxPool:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2_w"
op: "Blob"
input: "conv1/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2_b"
op: "Blob"
input: "conv1/ConstantFill_1:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2"
op: "Blob"
input: "conv1/Conv_1:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2"
op: "Blob"
input: "conv1/Conv_1:0"
device: "/cpu:*"
}
node {
name: "conv1/pool2"
op: "Blob"
input: "conv1/MaxPool_1:0"
device: "/cpu:*"
}
node {
name: "conv1/pool2"
op: "Blob"
input: "conv1/MaxPool_1:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_w"
op: "Blob"
input: "classifier/XavierFill:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_b"
op: "Blob"
input: "classifier/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3"
op: "Blob"
input: "classifier/FC:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3"
op: "Blob"
input: "classifier/FC:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_1"
op: "Blob"
input: "classifier/Relu:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_1"
op: "Blob"
input: "classifier/Relu:0"
device: "/cpu:*"
}
node {
name: "classifier/pred_w"
op: "Blob"
input: "classifier/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "classifier/pred_b"
op: "Blob"
input: "classifier/ConstantFill_1:0"
device: "/cpu:*"
}
node {
name: "classifier/pred"
op: "Blob"
input: "classifier/FC_1:0"
device: "/cpu:*"
}
node {
name: "classifier/pred"
op: "Blob"
input: "classifier/FC_1:0"
device: "/cpu:*"
}
node {
name: "classifier/softmax"
op: "Blob"
input: "classifier/Softmax:0"
device: "/cpu:*"
}
node {
name: "classifier/softmax"
op: "Blob"
input: "classifier/Softmax:0"
device: "/cpu:*"
}
node {
name: "classifier/label"
op: "Placeholder"
}
node {
name: "classifier/xent"
op: "Blob"
input: "classifier/LabelCrossEntropy:0"
device: "/cpu:*"
}
node {
name: "classifier/xent"
op: "Blob"
input: "classifier/LabelCrossEntropy:0"
device: "/cpu:*"
}
node {
name: "classifier/loss"
op: "Blob"
input: "classifier/AveragedLoss:0"
device: "/cpu:*"
}
node {
name: "classifier/loss"
op: "Blob"
input: "classifier/AveragedLoss:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/loss_autogen_grad"
op: "Blob"
input: "GRADIENTS/classifier/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "classifier/xent"
op: "Blob"
input: "classifier/LabelCrossEntropy:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/loss_autogen_grad"
op: "Blob"
input: "GRADIENTS/classifier/ConstantFill:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/xent_grad"
op: "Blob"
input: "GRADIENTS/classifier/AveragedLossGradient:0"
device: "/cpu:*"
}
node {
name: "classifier/softmax"
op: "Blob"
input: "classifier/Softmax:0"
device: "/cpu:*"
}
node {
name: "classifier/label"
op: "Placeholder"
}
node {
name: "GRADIENTS/classifier/xent_grad"
op: "Blob"
input: "GRADIENTS/classifier/AveragedLossGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/softmax_grad"
op: "Blob"
input: "GRADIENTS/classifier/LabelCrossEntropyGradient:0"
device: "/cpu:*"
}
node {
name: "classifier/softmax"
op: "Blob"
input: "classifier/Softmax:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/softmax_grad"
op: "Blob"
input: "GRADIENTS/classifier/LabelCrossEntropyGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/pred_grad"
op: "Blob"
input: "GRADIENTS/classifier/SoftmaxGradient:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_1"
op: "Blob"
input: "classifier/Relu:0"
device: "/cpu:*"
}
node {
name: "classifier/pred_w"
op: "Blob"
input: "classifier/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/pred_grad"
op: "Blob"
input: "GRADIENTS/classifier/SoftmaxGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/pred_w_grad"
op: "Blob"
input: "GRADIENTS/classifier/FCGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/pred_b_grad"
op: "Blob"
input: "GRADIENTS/classifier/FCGradient:1"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_grad"
op: "Blob"
input: "GRADIENTS/classifier/FCGradient:2"
device: "/cpu:*"
}
node {
name: "classifier/fc3_1"
op: "Blob"
input: "classifier/Relu:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_grad"
op: "Blob"
input: "GRADIENTS/classifier/FCGradient:2"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_grad_1"
op: "Blob"
input: "GRADIENTS/classifier/ReluGradient:0"
device: "/cpu:*"
}
node {
name: "conv1/pool2"
op: "Blob"
input: "conv1/MaxPool_1:0"
device: "/cpu:*"
}
node {
name: "classifier/fc3_w"
op: "Blob"
input: "classifier/XavierFill:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_grad_1"
op: "Blob"
input: "GRADIENTS/classifier/ReluGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_w_grad"
op: "Blob"
input: "GRADIENTS/c/FCGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/classifier/fc3_b_grad"
op: "Blob"
input: "GRADIENTS/c/FCGradient:1"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/pool2_grad"
op: "Blob"
input: "GRADIENTS/c/FCGradient:2"
device: "/cpu:*"
}
node {
name: "conv1/conv2"
op: "Blob"
input: "conv1/Conv_1:0"
device: "/cpu:*"
}
node {
name: "conv1/pool2"
op: "Blob"
input: "conv1/MaxPool_1:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/pool2_grad"
op: "Blob"
input: "GRADIENTS/c/FCGradient:2"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/conv2_grad"
op: "Blob"
input: "GRADIENTS/conv1/MaxPoolGradient:0"
device: "/cpu:*"
}
node {
name: "conv1/pool1"
op: "Blob"
input: "conv1/MaxPool:0"
device: "/cpu:*"
}
node {
name: "conv1/conv2_w"
op: "Blob"
input: "conv1/XavierFill_1:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/conv2_grad"
op: "Blob"
input: "GRADIENTS/conv1/MaxPoolGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/conv2_w_grad"
op: "Blob"
input: "GRADIENTS/conv1/ConvGradient:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/conv2_b_grad"
op: "Blob"
input: "GRADIENTS/conv1/ConvGradient:1"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/pool1_grad"
op: "Blob"
input: "GRADIENTS/conv1/ConvGradient:2"
device: "/cpu:*"
}
node {
name: "conv1/conv1"
op: "Blob"
input: "conv1/Conv:0"
device: "/cpu:*"
}
node {
name: "conv1/pool1"
op: "Blob"
input: "conv1/MaxPool:0"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/pool1_grad"
op: "Blob"
input: "GRADIENTS/conv1/ConvGradient:2"
device: "/cpu:*"
}
node {
name: "GRADIENTS/conv1/conv1_grad"
op: "Blob"
input: "GRADIENTS/conv1/MaxPoolGradient_1:0"
device: "/cpu:*"
}
Reference in New Issue View Git Blame Copy Permalink