Skip to content

Instantly share code, notes, and snippets.

@xilenteyex
Created September 9, 2018 22:22
Show Gist options
  • Save xilenteyex/6ac4f81d767bc6a2cab89822a6d38584 to your computer and use it in GitHub Desktop.
Save xilenteyex/6ac4f81d767bc6a2cab89822a6d38584 to your computer and use it in GitHub Desktop.
mnist timeline for step 99
{
"traceEvents": [
{
"ph": "M",
"args": {
"name": "Allocators"
},
"pid": 0,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/job:localhost/replica:0/task:0/device:CPU:0 Compute"
},
"pid": 1,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/job:localhost/replica:0/task:0/device:CPU:0 Tensors"
},
"pid": 2,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:23 Compute"
},
"pid": 3,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:23 Tensors"
},
"pid": 4,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/memcpy Compute"
},
"pid": 5,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/memcpy Tensors"
},
"pid": 6,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:all Compute"
},
"pid": 7,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:all Tensors"
},
"pid": 8,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/job:localhost/replica:0/task:0/device:GPU:0 Compute"
},
"pid": 9,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/job:localhost/replica:0/task:0/device:GPU:0 Tensors"
},
"pid": 10,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:22 Compute"
},
"pid": 11,
"name": "process_name"
},
{
"ph": "M",
"args": {
"name": "/device:GPU:0/stream:22 Tensors"
},
"pid": 12,
"name": "process_name"
},
{
"name": "NoOp",
"args": {
"name": "_SOURCE",
"op": "NoOp"
},
"pid": 1,
"ts": 1536530947156331,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 18
},
{
"name": "_Arg",
"args": {
"name": "_arg_dropout/Placeholder_0_0",
"op": "_Arg"
},
"pid": 1,
"ts": 1536530947156399,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 30
},
{
"name": "_Arg",
"args": {
"name": "_arg_input/x-input_0_1",
"op": "_Arg"
},
"pid": 1,
"ts": 1536530947156460,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "_Arg",
"args": {
"name": "_arg_input/y-input_0_2",
"op": "_Arg"
},
"pid": 1,
"ts": 1536530947156509,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 75
},
{
"name": "Shape",
"args": {
"input0": "_arg_dropout/Placeholder_0_0",
"name": "train/gradients/dropout/dropout/div_grad/Shape_1",
"op": "Shape"
},
"pid": 1,
"ts": 1536530947156666,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 49
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_348__arg_input/y-input_0_2",
"op": "MEMCPYHtoD"
},
"pid": 3,
"ts": 1536530947156827,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_338__arg_dropout/Placeholder_0_0",
"op": "MEMCPYHtoD"
},
"pid": 3,
"ts": 1536530947156877,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_345__arg_input/x-input_0_1",
"op": "MEMCPYHtoD"
},
"pid": 3,
"ts": 1536530947157052,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 27
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_348__arg_input/y-input_0_2",
"op": "MEMCPYHtoD"
},
"pid": 5,
"ts": 1536530947156827,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_338__arg_dropout/Placeholder_0_0",
"op": "MEMCPYHtoD"
},
"pid": 5,
"ts": 1536530947156877,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "MEMCPYHtoD",
"args": {
"name": "edge_345__arg_input/x-input_0_1",
"op": "MEMCPYHtoD"
},
"pid": 5,
"ts": 1536530947157052,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 27
},
{
"name": "Assign",
"args": {
"name": "train/Adam/Assign",
"op": "Assign"
},
"pid": 5,
"ts": 1536530947162123,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "Assign",
"args": {
"name": "train/Adam/Assign_1",
"op": "Assign"
},
"pid": 5,
"ts": 1536530947162184,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "MatMul",
"args": {
"name": "layer1/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947157815,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 35
},
{
"name": "Add",
"args": {
"name": "layer1/Wx_plus_b/add",
"op": "Add"
},
"pid": 7,
"ts": 1536530947157925,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Relu",
"args": {
"name": "layer1/activation",
"op": "Relu"
},
"pid": 7,
"ts": 1536530947158014,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RealDiv",
"args": {
"name": "dropout/dropout/div",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947158118,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Neg",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Neg",
"op": "Neg"
},
"pid": 7,
"ts": 1536530947158195,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RandomUniform",
"args": {
"name": "dropout/dropout/random_uniform/RandomUniform",
"op": "RandomUniform"
},
"pid": 7,
"ts": 1536530947158272,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 12
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947158377,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "dropout/dropout/random_uniform/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947158419,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947158454,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Add",
"args": {
"name": "dropout/dropout/random_uniform",
"op": "Add"
},
"pid": 7,
"ts": 1536530947158490,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Add",
"args": {
"name": "dropout/dropout/add",
"op": "Add"
},
"pid": 7,
"ts": 1536530947158543,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Floor",
"args": {
"name": "dropout/dropout/Floor",
"op": "Floor"
},
"pid": 7,
"ts": 1536530947158583,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "dropout/dropout/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947158624,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "MatMul",
"args": {
"name": "layer2/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947158719,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 22
},
{
"name": "Add",
"args": {
"name": "layer2/Wx_plus_b/add",
"op": "Add"
},
"pid": 7,
"ts": 1536530947158802,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947158909,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947158933,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947158956,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947158980,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 13
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947159004,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 7,
"ts": 1536530947159022,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947159115,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Sum",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947159218,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Fill",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like",
"op": "Fill"
},
"pid": 7,
"ts": 1536530947159287,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947159358,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Neg",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Neg",
"op": "Neg"
},
"pid": 7,
"ts": 1536530947159408,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Sum",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947159448,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Greater",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater",
"op": "Greater"
},
"pid": 7,
"ts": 1536530947159495,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Equal",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal",
"op": "Equal"
},
"pid": 7,
"ts": 1536530947159537,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Select",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select",
"op": "Select"
},
"pid": 7,
"ts": 1536530947159587,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Select",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select_1",
"op": "Select"
},
"pid": 7,
"ts": 1536530947159644,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Select",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"op": "Select"
},
"pid": 7,
"ts": 1536530947159686,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947159755,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947159799,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947159831,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947159864,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Tile",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Tile",
"op": "Tile"
},
"pid": 7,
"ts": 1536530947160014,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947160072,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul_1",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947160125,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Sum",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947160177,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947160285,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947160370,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947160393,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947160553,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947160639,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947160725,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947160748,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947160768,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/mul_grad/Mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947160872,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/mul_grad/Mul_1",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947160919,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947160982,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947160999,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161016,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 7,
"ts": 1536530947161155,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947161202,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Sum",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947161276,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Sum",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947161292,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "ReluGrad",
"args": {
"name": "train/gradients/layer1/activation_grad/ReluGrad",
"op": "ReluGrad"
},
"pid": 7,
"ts": 1536530947161393,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 7,
"ts": 1536530947161475,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947161646,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 26
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 7,
"ts": 1536530947161730,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161790,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161808,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161824,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161910,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161928,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 9
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 7,
"ts": 1536530947161946,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 20
},
{
"name": "Mul",
"args": {
"name": "train/Adam/mul",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947162003,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "train/Adam/mul_1",
"op": "Mul"
},
"pid": 7,
"ts": 1536530947162058,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "NoOp",
"args": {
"name": "_SOURCE",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947156333,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 108
},
{
"name": "VariableV2",
"args": {
"name": "layer1/weights/Variable",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947156506,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 101
},
{
"name": "VariableV2",
"args": {
"name": "layer1/biases/Variable",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947156616,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 101
},
{
"name": "Const",
"args": {
"name": "dropout/dropout/random_uniform/min",
"op": "Const"
},
"pid": 9,
"ts": 1536530947156758,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 19
},
{
"name": "VariableV2",
"args": {
"name": "layer2/weights/Variable",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947156805,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 39
},
{
"name": "VariableV2",
"args": {
"name": "layer2/biases/Variable",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947156846,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 41
},
{
"name": "NoOp",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947156899,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 19
},
{
"name": "Const",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Shape_1",
"op": "Const"
},
"pid": 9,
"ts": 1536530947156931,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Const",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Reshape/shape",
"op": "Const"
},
"pid": 9,
"ts": 1536530947156940,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 34
},
{
"name": "Const",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/ExpandDims/dim",
"op": "Const"
},
"pid": 9,
"ts": 1536530947156985,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 28
},
{
"name": "Const",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Shape_1",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157024,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "Const",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Shape_1",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157049,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "VariableV2",
"args": {
"name": "train/beta1_power",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157084,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 37
},
{
"name": "VariableV2",
"args": {
"name": "train/beta2_power",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157142,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 40
},
{
"name": "VariableV2",
"args": {
"name": "layer1/weights/Variable/Adam",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157197,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 28
},
{
"name": "VariableV2",
"args": {
"name": "layer1/weights/Variable/Adam_1",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157227,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 22
},
{
"name": "VariableV2",
"args": {
"name": "layer1/biases/Variable/Adam",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157260,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 18
},
{
"name": "VariableV2",
"args": {
"name": "layer1/biases/Variable/Adam_1",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157281,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 20
},
{
"name": "VariableV2",
"args": {
"name": "layer2/weights/Variable/Adam",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157312,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 27
},
{
"name": "VariableV2",
"args": {
"name": "layer2/weights/Variable/Adam_1",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157341,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 21
},
{
"name": "VariableV2",
"args": {
"name": "layer2/biases/Variable/Adam",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157363,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "VariableV2",
"args": {
"name": "layer2/biases/Variable/Adam_1",
"op": "VariableV2"
},
"pid": 9,
"ts": 1536530947157402,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 16
},
{
"name": "Const",
"args": {
"name": "train/Adam/learning_rate",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157419,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 16
},
{
"name": "Const",
"args": {
"name": "train/Adam/beta1",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157445,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 18
},
{
"name": "Const",
"args": {
"name": "train/Adam/beta2",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157464,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Const",
"args": {
"name": "train/Adam/epsilon",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157472,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 15
},
{
"name": "Const",
"args": {
"name": "dropout/dropout/random_uniform/sub/_2__cf__7",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157497,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Identity",
"args": {
"input0": "layer1/weights/Variable",
"name": "layer1/weights/Variable/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157506,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Identity",
"args": {
"input0": "layer1/biases/Variable",
"name": "layer1/biases/Variable/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157514,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 13
},
{
"name": "Identity",
"args": {
"input0": "layer2/weights/Variable",
"name": "layer2/weights/Variable/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157529,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 17
},
{
"name": "Identity",
"args": {
"input0": "layer2/biases/Variable",
"name": "layer2/biases/Variable/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157555,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Const",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const_1",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157571,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "NoOp",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/static_scalar_check_success",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947157580,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Const",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const_2",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157600,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "Const",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater/y",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157625,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Const",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal/y",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157634,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Identity",
"args": {
"input0": "train/beta1_power",
"name": "train/beta1_power/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157648,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 20
},
{
"name": "Identity",
"args": {
"input0": "train/beta2_power",
"name": "train/beta2_power/read",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947157670,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "MatMul",
"args": {
"input0": "_arg_input/x-input_0_1/_9",
"input1": "layer1/weights/Variable/read",
"name": "layer1/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947157677,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 161
},
{
"name": "_arg_input/x-input_0_1",
"pid": 1,
"ts": 1536530947156474,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 0
},
{
"name": "_arg_input/x-input_0_1",
"pid": 9,
"ts": 1536530947157677,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 0
},
{
"name": "Const",
"args": {
"input0": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"input1": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Const",
"op": "Const"
},
"pid": 9,
"ts": 1536530947157855,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 9
},
{
"name": "Add",
"args": {
"input0": "layer1/Wx_plus_b/MatMul",
"input1": "layer1/biases/Variable/read",
"name": "layer1/Wx_plus_b/add",
"op": "Add"
},
"pid": 9,
"ts": 1536530947157868,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 70
},
{
"name": "Shape",
"args": {
"input0": "layer1/Wx_plus_b/MatMul",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947157946,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 27
},
{
"name": "Relu",
"args": {
"input0": "layer1/Wx_plus_b/add",
"name": "layer1/activation",
"op": "Relu"
},
"pid": 9,
"ts": 1536530947157976,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 48
},
{
"name": "BroadcastGradientArgs",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/Shape",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/Shape_1",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/BroadcastGradientArgs",
"op": "BroadcastGradientArgs"
},
"pid": 9,
"ts": 1536530947158028,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 25
},
{
"name": "Shape",
"args": {
"input0": "layer1/activation",
"name": "dropout/dropout/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947158062,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 15
},
{
"name": "RealDiv",
"args": {
"input0": "layer1/activation",
"input1": "_arg_dropout/Placeholder_0_0/_11",
"name": "dropout/dropout/div",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947158080,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 46
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 1,
"ts": 1536530947156429,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 1
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 9,
"ts": 1536530947158080,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 1
},
{
"name": "Neg",
"args": {
"input0": "layer1/activation",
"name": "train/gradients/dropout/dropout/div_grad/Neg",
"op": "Neg"
},
"pid": 9,
"ts": 1536530947158133,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 71
},
{
"name": "RandomUniform",
"args": {
"input0": "dropout/dropout/Shape",
"name": "dropout/dropout/random_uniform/RandomUniform",
"op": "RandomUniform"
},
"pid": 9,
"ts": 1536530947158212,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 70
},
{
"name": "BroadcastGradientArgs",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/Shape",
"input1": "train/gradients/dropout/dropout/div_grad/Shape_1/_15",
"name": "train/gradients/dropout/dropout/div_grad/BroadcastGradientArgs",
"op": "BroadcastGradientArgs"
},
"pid": 9,
"ts": 1536530947158289,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 15
},
{
"name": "train/gradients/dropout/dropout/div_grad/Shape_1",
"pid": 1,
"ts": 1536530947156715,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 2
},
{
"name": "train/gradients/dropout/dropout/div_grad/Shape_1",
"pid": 9,
"ts": 1536530947158289,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 2
},
{
"name": "Shape",
"args": {
"input0": "dropout/dropout/div",
"name": "train/gradients/dropout/dropout/mul_grad/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947158315,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 15
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/Neg",
"input1": "_arg_dropout/Placeholder_0_0/_11",
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947158339,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 45
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 1,
"ts": 1536530947156429,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 3
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 9,
"ts": 1536530947158339,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 3
},
{
"name": "Mul",
"args": {
"input0": "dropout/dropout/random_uniform/RandomUniform",
"input1": "dropout/dropout/random_uniform/sub",
"name": "dropout/dropout/random_uniform/mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947158388,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 37
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/RealDiv_1",
"input1": "_arg_dropout/Placeholder_0_0/_11",
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947158429,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 1,
"ts": 1536530947156429,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 4
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 9,
"ts": 1536530947158429,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 4
},
{
"name": "Add",
"args": {
"input0": "dropout/dropout/random_uniform/mul",
"input1": "dropout/dropout/random_uniform/min",
"name": "dropout/dropout/random_uniform",
"op": "Add"
},
"pid": 9,
"ts": 1536530947158463,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 34
},
{
"name": "Add",
"args": {
"input0": "_arg_dropout/Placeholder_0_0/_11",
"input1": "dropout/dropout/random_uniform",
"name": "dropout/dropout/add",
"op": "Add"
},
"pid": 9,
"ts": 1536530947158500,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 50
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 1,
"ts": 1536530947156429,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 5
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 9,
"ts": 1536530947158500,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 5
},
{
"name": "Floor",
"args": {
"input0": "dropout/dropout/add",
"name": "dropout/dropout/Floor",
"op": "Floor"
},
"pid": 9,
"ts": 1536530947158553,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 35
},
{
"name": "Mul",
"args": {
"input0": "dropout/dropout/div",
"input1": "dropout/dropout/Floor",
"name": "dropout/dropout/mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947158592,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 39
},
{
"name": "Shape",
"args": {
"input0": "dropout/dropout/Floor",
"name": "train/gradients/dropout/dropout/mul_grad/Shape_1",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947158639,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "MatMul",
"args": {
"input0": "dropout/dropout/mul",
"input1": "layer2/weights/Variable/read",
"name": "layer2/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947158652,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 76
},
{
"name": "BroadcastGradientArgs",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Shape",
"input1": "train/gradients/dropout/dropout/mul_grad/Shape_1",
"name": "train/gradients/dropout/dropout/mul_grad/BroadcastGradientArgs",
"op": "BroadcastGradientArgs"
},
"pid": 9,
"ts": 1536530947158740,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "Add",
"args": {
"input0": "layer2/Wx_plus_b/MatMul",
"input1": "layer2/biases/Variable/read",
"name": "layer2/Wx_plus_b/add",
"op": "Add"
},
"pid": 9,
"ts": 1536530947158761,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 47
},
{
"name": "Shape",
"args": {
"input0": "layer2/Wx_plus_b/MatMul",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947158811,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 22
},
{
"name": "Identity",
"args": {
"input0": "layer2/Wx_plus_b/add",
"name": "layer2/activation",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947158835,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "BroadcastGradientArgs",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/Shape",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/Shape_1",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/BroadcastGradientArgs",
"op": "BroadcastGradientArgs"
},
"pid": 9,
"ts": 1536530947158854,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"input0": "layer2/activation",
"input1": "_arg_input/y-input_0_2/_13",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 9,
"ts": 1536530947158868,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 165
},
{
"name": "_arg_input/y-input_0_2",
"pid": 1,
"ts": 1536530947156584,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 6
},
{
"name": "_arg_input/y-input_0_2",
"pid": 9,
"ts": 1536530947158868,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 6
},
{
"name": "Mul",
"args": {
"input2": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947159078,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 43
},
{
"name": "Shape",
"args": {
"input2": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/assert_broadcastable/static_scalar_check_success",
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"input1": "^cross_entropy/total/sparse_softmax_cross_entropy_loss/assert_broadcastable/static_scalar_check_success",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947159125,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "Shape",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947159149,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 12
},
{
"name": "PreventGradient",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy:1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/PreventGradient",
"op": "PreventGradient"
},
"pid": 9,
"ts": 1536530947159170,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Sum",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const_1",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947159177,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 50
},
{
"name": "Shape",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Shape",
"op": "Shape"
},
"pid": 9,
"ts": 1536530947159231,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 21
},
{
"name": "Fill",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Shape",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like/Const",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like",
"op": "Fill"
},
"pid": 9,
"ts": 1536530947159254,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 42
},
{
"name": "BroadcastGradientArgs",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Shape",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Shape_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/BroadcastGradientArgs",
"op": "BroadcastGradientArgs"
},
"pid": 9,
"ts": 1536530947159300,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 15
},
{
"name": "Sum",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const_2",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947159318,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/Select",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947159328,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 38
},
{
"name": "Neg",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Neg",
"op": "Neg"
},
"pid": 9,
"ts": 1536530947159379,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 34
},
{
"name": "Sum",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/Const",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947159417,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 39
},
{
"name": "Greater",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater/y",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater",
"op": "Greater"
},
"pid": 9,
"ts": 1536530947159461,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 41
},
{
"name": "Equal",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal/y",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal",
"op": "Equal"
},
"pid": 9,
"ts": 1536530947159506,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 37
},
{
"name": "Select",
"args": {
"input2": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/zeros_like",
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater",
"input1": "train/gradients/Fill",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select",
"op": "Select"
},
"pid": 9,
"ts": 1536530947159547,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 47
},
{
"name": "Select",
"args": {
"input2": "train/gradients/Fill",
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/zeros_like",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select_1",
"op": "Select"
},
"pid": 9,
"ts": 1536530947159599,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 54
},
{
"name": "Select",
"args": {
"input2": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/ones_like",
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"op": "Select"
},
"pid": 9,
"ts": 1536530947159657,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 36
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947159698,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Neg",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947159715,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 45
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/tuple/group_deps",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947159765,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_1",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947159774,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/tuple/control_dependency",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947159806,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "Mul",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/tuple/control_dependency",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_2",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947159839,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 31
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/BroadcastGradientArgs",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947159874,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/mul",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/BroadcastGradientArgs:1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947159894,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Sum",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Shape",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947159903,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Sum_1",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Shape_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947159912,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Reshape",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Reshape_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947159924,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 10
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Reshape",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/tuple/group_deps",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947159938,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/tuple/control_dependency",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Reshape/shape",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947159946,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Tile",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Reshape",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Const",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Tile",
"op": "Tile"
},
"pid": 9,
"ts": 1536530947159955,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_1_grad/Tile",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Reshape/shape",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947159963,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 13
},
{
"name": "Tile",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Reshape",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Shape",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Tile",
"op": "Tile"
},
"pid": 9,
"ts": 1536530947159980,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 45
},
{
"name": "Mul",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Tile",
"input1": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Const",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947160029,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 48
},
{
"name": "Mul",
"args": {
"input0": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Tile",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul_1",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947160090,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 42
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/BroadcastGradientArgs",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947160136,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul_1",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/BroadcastGradientArgs:1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947160147,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 40
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Shape",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947160191,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum_1",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Shape_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947160202,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 19
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Reshape",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Reshape_1",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947160225,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Reshape",
"input1": "^train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/tuple/group_deps",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947160231,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "ExpandDims",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/tuple/control_dependency",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/ExpandDims/dim",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/ExpandDims",
"op": "ExpandDims"
},
"pid": 9,
"ts": 1536530947160239,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 9
},
{
"name": "Mul",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/ExpandDims",
"input1": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/PreventGradient",
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947160251,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 48
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/mul",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/BroadcastGradientArgs",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947160303,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 17
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/mul",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/BroadcastGradientArgs:1",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947160330,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 91
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/Sum",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/Shape",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947160426,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 10
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/Shape_1",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947160439,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/layer2/Wx_plus_b/add_grad/Reshape",
"input1": "^train/gradients/layer2/Wx_plus_b/add_grad/Reshape_1",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947160446,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 10
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/Reshape",
"input1": "^train/gradients/layer2/Wx_plus_b/add_grad/tuple/group_deps",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947160458,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/Reshape_1",
"input1": "^train/gradients/layer2/Wx_plus_b/add_grad/tuple/group_deps",
"name": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/control_dependency_1",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947160466,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "MatMul",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/control_dependency",
"input1": "layer2/weights/Variable/read",
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947160478,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 93
},
{
"name": "MatMul",
"args": {
"input0": "dropout/dropout/mul",
"input1": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/control_dependency",
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947160588,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 71
},
{
"name": "ApplyAdam",
"args": {
"input2": "layer2/biases/Variable/Adam_1",
"input3": "train/beta1_power/read",
"input0": "layer2/biases/Variable",
"input1": "layer2/biases/Variable/Adam",
"input6": "train/Adam/beta1",
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"input4": "train/beta2_power/read",
"input5": "train/Adam/learning_rate",
"input7": "train/Adam/beta2",
"input8": "train/Adam/epsilon",
"input9": "train/gradients/layer2/Wx_plus_b/add_grad/tuple/control_dependency_1",
"op": "ApplyAdam"
},
"pid": 9,
"ts": 1536530947160665,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 121
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul",
"input1": "^train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul_1",
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947160801,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul",
"input1": "^train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/group_deps",
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947160809,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul_1",
"input1": "^train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/group_deps",
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/control_dependency_1",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947160817,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Mul",
"args": {
"input0": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/control_dependency",
"input1": "dropout/dropout/Floor",
"name": "train/gradients/dropout/dropout/mul_grad/Mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947160830,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 48
},
{
"name": "Mul",
"args": {
"input0": "dropout/dropout/div",
"input1": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/control_dependency",
"name": "train/gradients/dropout/dropout/mul_grad/Mul_1",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947160883,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 43
},
{
"name": "ApplyAdam",
"args": {
"input2": "layer2/weights/Variable/Adam_1",
"input3": "train/beta1_power/read",
"input0": "layer2/weights/Variable",
"input1": "layer2/weights/Variable/Adam",
"input6": "train/Adam/beta1",
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"input4": "train/beta2_power/read",
"input5": "train/Adam/learning_rate",
"input7": "train/Adam/beta2",
"input8": "train/Adam/epsilon",
"input9": "train/gradients/layer2/Wx_plus_b/MatMul_grad/tuple/control_dependency_1",
"op": "ApplyAdam"
},
"pid": 9,
"ts": 1536530947160930,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 95
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Mul",
"input1": "train/gradients/dropout/dropout/mul_grad/BroadcastGradientArgs",
"name": "train/gradients/dropout/dropout/mul_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161032,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 10
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Mul_1",
"input1": "train/gradients/dropout/dropout/mul_grad/BroadcastGradientArgs:1",
"name": "train/gradients/dropout/dropout/mul_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161044,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 23
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Sum",
"input1": "train/gradients/dropout/dropout/mul_grad/Shape",
"name": "train/gradients/dropout/dropout/mul_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161069,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Sum_1",
"input1": "train/gradients/dropout/dropout/mul_grad/Shape_1",
"name": "train/gradients/dropout/dropout/mul_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161079,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/dropout/dropout/mul_grad/Reshape",
"input1": "^train/gradients/dropout/dropout/mul_grad/Reshape_1",
"name": "train/gradients/dropout/dropout/mul_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947161093,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/Reshape",
"input1": "^train/gradients/dropout/dropout/mul_grad/tuple/group_deps",
"name": "train/gradients/dropout/dropout/mul_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947161101,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "RealDiv",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/tuple/control_dependency",
"input1": "_arg_dropout/Placeholder_0_0/_11",
"name": "train/gradients/dropout/dropout/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 9,
"ts": 1536530947161118,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 46
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 1,
"ts": 1536530947156429,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 7
},
{
"name": "_arg_dropout/Placeholder_0_0",
"pid": 9,
"ts": 1536530947161118,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 7
},
{
"name": "Mul",
"args": {
"input0": "train/gradients/dropout/dropout/mul_grad/tuple/control_dependency",
"input1": "train/gradients/dropout/dropout/div_grad/RealDiv_2",
"name": "train/gradients/dropout/dropout/div_grad/mul",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947161172,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 36
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/RealDiv",
"input1": "train/gradients/dropout/dropout/div_grad/BroadcastGradientArgs",
"name": "train/gradients/dropout/dropout/div_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161212,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 16
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/mul",
"input1": "train/gradients/dropout/dropout/div_grad/BroadcastGradientArgs:1",
"name": "train/gradients/dropout/dropout/div_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161239,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 65
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/Sum",
"input1": "train/gradients/dropout/dropout/div_grad/Shape",
"name": "train/gradients/dropout/dropout/div_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161308,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/Sum_1",
"input1": "train/gradients/dropout/dropout/div_grad/Shape_1/_15",
"name": "train/gradients/dropout/dropout/div_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161327,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "train/gradients/dropout/dropout/div_grad/Shape_1",
"pid": 1,
"ts": 1536530947156715,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 8
},
{
"name": "train/gradients/dropout/dropout/div_grad/Shape_1",
"pid": 9,
"ts": 1536530947161327,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 8
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/dropout/dropout/div_grad/Reshape",
"input1": "^train/gradients/dropout/dropout/div_grad/Reshape_1",
"name": "train/gradients/dropout/dropout/div_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947161344,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/Reshape",
"input1": "^train/gradients/dropout/dropout/div_grad/tuple/group_deps",
"name": "train/gradients/dropout/dropout/div_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947161349,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "ReluGrad",
"args": {
"input0": "train/gradients/dropout/dropout/div_grad/tuple/control_dependency",
"input1": "layer1/activation",
"name": "train/gradients/layer1/activation_grad/ReluGrad",
"op": "ReluGrad"
},
"pid": 9,
"ts": 1536530947161361,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 42
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/layer1/activation_grad/ReluGrad",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/BroadcastGradientArgs",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Sum",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161407,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Sum",
"args": {
"input0": "train/gradients/layer1/activation_grad/ReluGrad",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/BroadcastGradientArgs:1",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 9,
"ts": 1536530947161433,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 52
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/Sum",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/Shape",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Reshape",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161489,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Reshape",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/Sum_1",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/Shape_1",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Reshape_1",
"op": "Reshape"
},
"pid": 9,
"ts": 1536530947161499,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 25
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/layer1/Wx_plus_b/add_grad/Reshape",
"input1": "^train/gradients/layer1/Wx_plus_b/add_grad/Reshape_1",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947161527,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/Reshape",
"input1": "^train/gradients/layer1/Wx_plus_b/add_grad/tuple/group_deps",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/control_dependency",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947161538,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 11
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/Reshape_1",
"input1": "^train/gradients/layer1/Wx_plus_b/add_grad/tuple/group_deps",
"name": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/control_dependency_1",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947161552,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 10
},
{
"name": "MatMul",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/control_dependency",
"input1": "layer1/weights/Variable/read",
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947161570,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 88
},
{
"name": "MatMul",
"args": {
"input0": "_arg_input/x-input_0_1/_9",
"input1": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/control_dependency",
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 9,
"ts": 1536530947161667,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 79
},
{
"name": "_arg_input/x-input_0_1",
"pid": 1,
"ts": 1536530947156474,
"cat": "DataFlow",
"tid": 0,
"ph": "s",
"id": 9
},
{
"name": "_arg_input/x-input_0_1",
"pid": 9,
"ts": 1536530947161667,
"cat": "DataFlow",
"tid": 0,
"ph": "t",
"id": 9
},
{
"name": "ApplyAdam",
"args": {
"input2": "layer1/biases/Variable/Adam_1",
"input3": "train/beta1_power/read",
"input0": "layer1/biases/Variable",
"input1": "layer1/biases/Variable/Adam",
"input6": "train/Adam/beta1",
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"input4": "train/beta2_power/read",
"input5": "train/Adam/learning_rate",
"input7": "train/Adam/beta2",
"input8": "train/Adam/epsilon",
"input9": "train/gradients/layer1/Wx_plus_b/add_grad/tuple/control_dependency_1",
"op": "ApplyAdam"
},
"pid": 9,
"ts": 1536530947161755,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 79
},
{
"name": "NoOp",
"args": {
"input0": "^train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul",
"input1": "^train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul_1",
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/tuple/group_deps",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947161839,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 26
},
{
"name": "Identity",
"args": {
"input0": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul_1",
"input1": "^train/gradients/layer1/Wx_plus_b/MatMul_grad/tuple/group_deps",
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/tuple/control_dependency_1",
"op": "Identity"
},
"pid": 9,
"ts": 1536530947161868,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "ApplyAdam",
"args": {
"input2": "layer1/weights/Variable/Adam_1",
"input3": "train/beta1_power/read",
"input0": "layer1/weights/Variable",
"input1": "layer1/weights/Variable/Adam",
"input6": "train/Adam/beta1",
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"input4": "train/beta2_power/read",
"input5": "train/Adam/learning_rate",
"input7": "train/Adam/beta2",
"input8": "train/Adam/epsilon",
"input9": "train/gradients/layer1/Wx_plus_b/MatMul_grad/tuple/control_dependency_1",
"op": "ApplyAdam"
},
"pid": 9,
"ts": 1536530947161877,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 76
},
{
"name": "Mul",
"args": {
"input2": "^train/Adam/update_layer1/weights/Variable/ApplyAdam",
"input3": "^train/Adam/update_layer1/biases/Variable/ApplyAdam",
"input0": "train/beta1_power/read",
"input1": "train/Adam/beta1",
"name": "train/Adam/mul",
"input4": "^train/Adam/update_layer2/weights/Variable/ApplyAdam",
"input5": "^train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947161967,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 42
},
{
"name": "Mul",
"args": {
"input2": "^train/Adam/update_layer1/weights/Variable/ApplyAdam",
"input3": "^train/Adam/update_layer1/biases/Variable/ApplyAdam",
"input0": "train/beta2_power/read",
"input1": "train/Adam/beta2",
"name": "train/Adam/mul_1",
"input4": "^train/Adam/update_layer2/weights/Variable/ApplyAdam",
"input5": "^train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "Mul"
},
"pid": 9,
"ts": 1536530947162015,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 47
},
{
"name": "Assign",
"args": {
"input0": "train/beta1_power",
"input1": "train/Adam/mul",
"name": "train/Adam/Assign",
"op": "Assign"
},
"pid": 9,
"ts": 1536530947162072,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 63
},
{
"name": "Assign",
"args": {
"input0": "train/beta2_power",
"input1": "train/Adam/mul_1",
"name": "train/Adam/Assign_1",
"op": "Assign"
},
"pid": 9,
"ts": 1536530947162139,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 55
},
{
"name": "NoOp",
"args": {
"input2": "^train/Adam/update_layer2/weights/Variable/ApplyAdam",
"input3": "^train/Adam/update_layer2/biases/Variable/ApplyAdam",
"input0": "^train/Adam/update_layer1/weights/Variable/ApplyAdam",
"input1": "^train/Adam/update_layer1/biases/Variable/ApplyAdam",
"name": "train/Adam",
"input4": "^train/Adam/Assign",
"input5": "^train/Adam/Assign_1",
"op": "NoOp"
},
"pid": 9,
"ts": 1536530947162198,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "MatMul",
"args": {
"name": "layer1/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947157815,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 35
},
{
"name": "Add",
"args": {
"name": "layer1/Wx_plus_b/add",
"op": "Add"
},
"pid": 11,
"ts": 1536530947157925,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "Relu",
"args": {
"name": "layer1/activation",
"op": "Relu"
},
"pid": 11,
"ts": 1536530947158014,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RealDiv",
"args": {
"name": "dropout/dropout/div",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947158118,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "Neg",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Neg",
"op": "Neg"
},
"pid": 11,
"ts": 1536530947158195,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RandomUniform",
"args": {
"name": "dropout/dropout/random_uniform/RandomUniform",
"op": "RandomUniform"
},
"pid": 11,
"ts": 1536530947158272,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 12
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947158377,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "dropout/dropout/random_uniform/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947158419,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947158454,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Add",
"args": {
"name": "dropout/dropout/random_uniform",
"op": "Add"
},
"pid": 11,
"ts": 1536530947158490,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Add",
"args": {
"name": "dropout/dropout/add",
"op": "Add"
},
"pid": 11,
"ts": 1536530947158543,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Floor",
"args": {
"name": "dropout/dropout/Floor",
"op": "Floor"
},
"pid": 11,
"ts": 1536530947158583,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "dropout/dropout/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947158624,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "MatMul",
"args": {
"name": "layer2/Wx_plus_b/MatMul",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947158719,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 22
},
{
"name": "Add",
"args": {
"name": "layer2/Wx_plus_b/add",
"op": "Add"
},
"pid": 11,
"ts": 1536530947158802,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947158909,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947158933,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947158956,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947158980,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 13
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947159004,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "SparseSoftmaxCrossEntropyWithLogits",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy",
"op": "SparseSoftmaxCrossEntropyWithLogits"
},
"pid": 11,
"ts": 1536530947159022,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947159115,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Sum",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947159218,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Fill",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights/ones_like",
"op": "Fill"
},
"pid": 11,
"ts": 1536530947159287,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present/broadcast_weights",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947159358,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Neg",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/Neg",
"op": "Neg"
},
"pid": 11,
"ts": 1536530947159408,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Sum",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/num_present",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947159448,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Greater",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Greater",
"op": "Greater"
},
"pid": 11,
"ts": 1536530947159495,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Equal",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Equal",
"op": "Equal"
},
"pid": 11,
"ts": 1536530947159537,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Select",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select",
"op": "Select"
},
"pid": 11,
"ts": 1536530947159587,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Select",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/value_grad/Select_1",
"op": "Select"
},
"pid": 11,
"ts": 1536530947159644,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Select",
"args": {
"name": "cross_entropy/total/sparse_softmax_cross_entropy_loss/Select",
"op": "Select"
},
"pid": 11,
"ts": 1536530947159686,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_1",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947159755,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv_2",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947159799,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947159831,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/div_grad/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947159864,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Tile",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Sum_grad/Tile",
"op": "Tile"
},
"pid": 11,
"ts": 1536530947160014,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947160072,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Mul_1",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947160125,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Sum",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/Mul_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947160177,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Mul",
"args": {
"name": "train/gradients/cross_entropy/total/sparse_softmax_cross_entropy_loss/xentropy/xentropy_grad/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947160285,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947160370,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947160393,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947160553,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer2/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947160639,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 14
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947160725,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947160748,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947160768,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/mul_grad/Mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947160872,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/mul_grad/Mul_1",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947160919,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947160982,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947160999,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer2/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161016,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "RealDiv",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/RealDiv",
"op": "RealDiv"
},
"pid": 11,
"ts": 1536530947161155,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 7
},
{
"name": "Mul",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947161202,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Sum",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947161276,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "Sum",
"args": {
"name": "train/gradients/dropout/dropout/div_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947161292,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "ReluGrad",
"args": {
"name": "train/gradients/layer1/activation_grad/ReluGrad",
"op": "ReluGrad"
},
"pid": 11,
"ts": 1536530947161393,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Sum",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/add_grad/Sum_1",
"op": "Sum"
},
"pid": 11,
"ts": 1536530947161475,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 5
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947161646,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 26
},
{
"name": "MatMul",
"args": {
"name": "train/gradients/layer1/Wx_plus_b/MatMul_grad/MatMul_1",
"op": "MatMul"
},
"pid": 11,
"ts": 1536530947161730,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 29
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161790,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161808,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 4
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/biases/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161824,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 6
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161910,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 8
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161928,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 9
},
{
"name": "ApplyAdam",
"args": {
"name": "train/Adam/update_layer1/weights/Variable/ApplyAdam",
"op": "ApplyAdam"
},
"pid": 11,
"ts": 1536530947161946,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 20
},
{
"name": "Mul",
"args": {
"name": "train/Adam/mul",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947162003,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 3
},
{
"name": "Mul",
"args": {
"name": "train/Adam/mul_1",
"op": "Mul"
},
"pid": 11,
"ts": 1536530947162058,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 2
},
{
"name": "Assign",
"args": {
"name": "train/Adam/Assign",
"op": "Assign"
},
"pid": 11,
"ts": 1536530947162123,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
},
{
"name": "Assign",
"args": {
"name": "train/Adam/Assign_1",
"op": "Assign"
},
"pid": 11,
"ts": 1536530947162184,
"cat": "Op",
"tid": 0,
"ph": "X",
"dur": 1
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment