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c_cpp
a month ago
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Model Input Name: unique_ids_raw_output___9:0, Shape: [0]
Model Input Name: segment_ids:0, Shape: [0, 256]
Model Input Name: input_mask:0, Shape: [0, 256]
Model Input Name: input_ids:0, Shape: [0, 256]
Starting model execution...

Inputs Details:
Input Name: input_ids:0
Shape: (1, 256)
Data (first 10 values): [25837 24066 17917 10287  4815 12979 20169  8864 10101 23255]...
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Input Name: segment_ids:0
Shape: (1, 256)
Data (first 10 values): [0 0 0 0 0 1 1 1 1 0]...
--------------------------------------------------
Input Name: input_mask:0
Shape: (1, 256)
Data (first 10 values): [0 0 1 0 1 1 0 0 0 1]...
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Input Name: unique_ids_raw_output___9:0
Shape: (0,)
Data (first 10 values): []...
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No Add node related to MatMul output: bert/embeddings/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_0/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_1/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_2/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_3/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_4/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_5/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_6/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_7/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_8/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_9/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_10/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/self/value/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/self/query/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/self/key/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/self/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/self/MatMul_1. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/attention/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/intermediate/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: bert/encoder/layer_11/output/dense/MatMul. Executing regular MatMul.
No Add node related to MatMul output: MatMul. Executing regular MatMul.

Node Execution Times:
Node: unique_ids_graph_outputs_Identity__10, Execution Time: 0.000005 seconds
Node: bert/encoder/Shape, Execution Time: 0.000004 seconds
Node: bert/encoder/Shape__12, Execution Time: 0.000009 seconds
Node: bert/encoder/strided_slice, Execution Time: 0.000062 seconds
Node: bert/encoder/strided_slice__16, Execution Time: 0.000005 seconds
Node: bert/encoder/strided_slice__17, Execution Time: 0.000005 seconds
Node: bert/encoder/ones/packed_Unsqueeze__18, Execution Time: 0.000010 seconds
Node: bert/encoder/ones/packed_Concat__21, Execution Time: 0.000010 seconds
Node: bert/encoder/ones__22, Execution Time: 0.000004 seconds
Node: bert/encoder/ones, Execution Time: 0.000010 seconds
Node: bert/encoder/Reshape, Execution Time: 0.000006 seconds
Node: bert/encoder/Cast, Execution Time: 0.000004 seconds
Node: bert/encoder/mul, Execution Time: 0.028551 seconds
Node: bert/encoder/layer_9/attention/self/ExpandDims, Execution Time: 0.000035 seconds
Node: bert/encoder/layer_9/attention/self/sub, Execution Time: 0.006637 seconds
Node: bert/encoder/layer_9/attention/self/mul_1, Execution Time: 0.000351 seconds
Node: bert/embeddings/Reshape_2, Execution Time: 0.000028 seconds
Node: bert/embeddings/Reshape, Execution Time: 0.000006 seconds
Node: bert/embeddings/GatherV2, Execution Time: 0.000317 seconds
Node: bert/embeddings/Reshape_1, Execution Time: 0.000007 seconds
Node: bert/embeddings/one_hot, Execution Time: 0.000059 seconds
Node: bert/embeddings/MatMul, Execution Time: 0.059774 seconds
Node: bert/embeddings/Reshape_3, Execution Time: 0.000044 seconds
Node: bert/embeddings/add, Execution Time: 0.002200 seconds
Node: bert/embeddings/add_1, Execution Time: 0.001008 seconds
Node: bert/embeddings/LayerNorm/moments/mean, Execution Time: 0.005287 seconds
Node: bert/embeddings/LayerNorm/moments/SquaredDifference, Execution Time: 0.000715 seconds
Node: bert/embeddings/LayerNorm/moments/SquaredDifference__72, Execution Time: 0.000848 seconds
Node: bert/embeddings/LayerNorm/moments/variance, Execution Time: 0.000269 seconds
Node: bert/embeddings/LayerNorm/batchnorm/add, Execution Time: 0.000084 seconds
Node: bert/embeddings/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.009919 seconds
Node: bert/embeddings/LayerNorm/batchnorm/Rsqrt__74, Execution Time: 0.005503 seconds
Node: bert/embeddings/LayerNorm/batchnorm/mul, Execution Time: 0.000118 seconds
Node: bert/embeddings/LayerNorm/batchnorm/mul_2, Execution Time: 0.000081 seconds
Node: bert/embeddings/LayerNorm/batchnorm/sub, Execution Time: 0.000090 seconds
Node: bert/embeddings/LayerNorm/batchnorm/mul_1, Execution Time: 0.000676 seconds
Node: bert/embeddings/LayerNorm/batchnorm/add_1, Execution Time: 0.000734 seconds
Node: bert/encoder/Reshape_1, Execution Time: 0.000036 seconds
Node: bert/encoder/layer_0/attention/self/value/MatMul, Execution Time: 0.001673 seconds
Node: bert/encoder/layer_0/attention/self/value/BiasAdd, Execution Time: 0.000724 seconds
Node: bert/encoder/layer_0/attention/self/Reshape_2, Execution Time: 0.000018 seconds
Node: bert/encoder/layer_0/attention/self/transpose_2, Execution Time: 0.000760 seconds
Node: bert/encoder/layer_0/attention/self/query/MatMul, Execution Time: 0.001025 seconds
Node: bert/encoder/layer_0/attention/self/query/BiasAdd, Execution Time: 0.000627 seconds
Node: bert/encoder/layer_0/attention/self/Reshape, Execution Time: 0.000014 seconds
Node: bert/encoder/layer_0/attention/self/transpose, Execution Time: 0.000697 seconds
Node: bert/encoder/layer_0/attention/self/key/MatMul, Execution Time: 0.000985 seconds
Node: bert/encoder/layer_0/attention/self/key/BiasAdd, Execution Time: 0.000647 seconds
Node: bert/encoder/layer_0/attention/self/Reshape_1, Execution Time: 0.000014 seconds
Node: bert/encoder/layer_0/attention/self/MatMul__306, Execution Time: 0.000694 seconds
Node: bert/encoder/layer_0/attention/self/MatMul, Execution Time: 0.005266 seconds
Node: bert/encoder/layer_0/attention/self/Mul, Execution Time: 0.001311 seconds
Node: bert/encoder/layer_0/attention/self/add, Execution Time: 0.001939 seconds
Node: bert/encoder/layer_0/attention/self/Softmax, Execution Time: 0.009698 seconds
Node: bert/encoder/layer_0/attention/self/MatMul_1, Execution Time: 0.001546 seconds
Node: bert/encoder/layer_0/attention/self/transpose_3, Execution Time: 0.000404 seconds
Node: bert/encoder/layer_0/attention/self/Reshape_3, Execution Time: 0.000089 seconds
Node: bert/encoder/layer_0/attention/output/dense/MatMul, Execution Time: 0.000978 seconds
Node: bert/encoder/layer_0/attention/output/dense/BiasAdd, Execution Time: 0.000740 seconds
Node: bert/encoder/layer_0/attention/output/add, Execution Time: 0.000922 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/moments/mean, Execution Time: 0.000290 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000698 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/moments/SquaredDifference__309, Execution Time: 0.000864 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/moments/variance, Execution Time: 0.000259 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000088 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000071 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/Rsqrt__311, Execution Time: 0.000094 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000075 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000643 seconds
Node: bert/encoder/layer_0/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000675 seconds
Node: bert/encoder/layer_0/intermediate/dense/MatMul, Execution Time: 0.002977 seconds
Node: bert/encoder/layer_0/intermediate/dense/BiasAdd, Execution Time: 0.001722 seconds
Node: bert/encoder/layer_0/intermediate/dense/Pow, Execution Time: 0.017356 seconds
Node: bert/encoder/layer_0/intermediate/dense/mul, Execution Time: 0.002039 seconds
Node: bert/encoder/layer_0/intermediate/dense/add, Execution Time: 0.002510 seconds
Node: bert/encoder/layer_0/intermediate/dense/mul_1, Execution Time: 0.001973 seconds
Node: bert/encoder/layer_0/intermediate/dense/Tanh, Execution Time: 0.004290 seconds
Node: bert/encoder/layer_0/intermediate/dense/add_1, Execution Time: 0.001899 seconds
Node: bert/encoder/layer_0/intermediate/dense/mul_2, Execution Time: 0.001950 seconds
Node: bert/encoder/layer_0/intermediate/dense/mul_3, Execution Time: 0.002503 seconds
Node: bert/encoder/layer_0/output/dense/MatMul, Execution Time: 0.002916 seconds
Node: bert/encoder/layer_0/output/dense/BiasAdd, Execution Time: 0.000371 seconds
Node: bert/encoder/layer_0/output/add, Execution Time: 0.000650 seconds
Node: bert/encoder/layer_0/output/LayerNorm/moments/mean, Execution Time: 0.000284 seconds
Node: bert/encoder/layer_0/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000421 seconds
Node: bert/encoder/layer_0/output/LayerNorm/moments/SquaredDifference__313, Execution Time: 0.000587 seconds
Node: bert/encoder/layer_0/output/LayerNorm/moments/variance, Execution Time: 0.000247 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/add, Execution Time: 0.000197 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000068 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/Rsqrt__315, Execution Time: 0.000093 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/mul, Execution Time: 0.000093 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000141 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/sub, Execution Time: 0.000108 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000391 seconds
Node: bert/encoder/layer_0/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000437 seconds
Node: bert/encoder/layer_1/attention/self/value/MatMul, Execution Time: 0.000922 seconds
Node: bert/encoder/layer_1/attention/self/value/BiasAdd, Execution Time: 0.000615 seconds
Node: bert/encoder/layer_1/attention/self/Reshape_2, Execution Time: 0.000031 seconds
Node: bert/encoder/layer_1/attention/self/transpose_2, Execution Time: 0.000656 seconds
Node: bert/encoder/layer_1/attention/self/query/MatMul, Execution Time: 0.000841 seconds
Node: bert/encoder/layer_1/attention/self/query/BiasAdd, Execution Time: 0.000588 seconds
Node: bert/encoder/layer_1/attention/self/Reshape, Execution Time: 0.000013 seconds
Node: bert/encoder/layer_1/attention/self/transpose, Execution Time: 0.000686 seconds
Node: bert/encoder/layer_1/attention/self/key/MatMul, Execution Time: 0.000851 seconds
Node: bert/encoder/layer_1/attention/self/key/BiasAdd, Execution Time: 0.000602 seconds
Node: bert/encoder/layer_1/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_1/attention/self/MatMul__320, Execution Time: 0.000679 seconds
Node: bert/encoder/layer_1/attention/self/MatMul, Execution Time: 0.001524 seconds
Node: bert/encoder/layer_1/attention/self/Mul, Execution Time: 0.001187 seconds
Node: bert/encoder/layer_1/attention/self/add, Execution Time: 0.001781 seconds
Node: bert/encoder/layer_1/attention/self/Softmax, Execution Time: 0.002000 seconds
Node: bert/encoder/layer_1/attention/self/MatMul_1, Execution Time: 0.001091 seconds
Node: bert/encoder/layer_1/attention/self/transpose_3, Execution Time: 0.000237 seconds
Node: bert/encoder/layer_1/attention/self/Reshape_3, Execution Time: 0.000040 seconds
Node: bert/encoder/layer_1/attention/output/dense/MatMul, Execution Time: 0.000849 seconds
Node: bert/encoder/layer_1/attention/output/dense/BiasAdd, Execution Time: 0.000601 seconds
Node: bert/encoder/layer_1/attention/output/add, Execution Time: 0.000849 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/moments/mean, Execution Time: 0.000266 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000650 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/moments/SquaredDifference__323, Execution Time: 0.000845 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/moments/variance, Execution Time: 0.000244 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000082 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/Rsqrt__325, Execution Time: 0.000082 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000645 seconds
Node: bert/encoder/layer_1/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000679 seconds
Node: bert/encoder/layer_1/intermediate/dense/MatMul, Execution Time: 0.002089 seconds
Node: bert/encoder/layer_1/intermediate/dense/BiasAdd, Execution Time: 0.001832 seconds
Node: bert/encoder/layer_1/intermediate/dense/Pow, Execution Time: 0.002025 seconds
Node: bert/encoder/layer_1/intermediate/dense/mul, Execution Time: 0.002000 seconds
Node: bert/encoder/layer_1/intermediate/dense/add, Execution Time: 0.002538 seconds
Node: bert/encoder/layer_1/intermediate/dense/mul_1, Execution Time: 0.001912 seconds
Node: bert/encoder/layer_1/intermediate/dense/Tanh, Execution Time: 0.001834 seconds
Node: bert/encoder/layer_1/intermediate/dense/add_1, Execution Time: 0.001891 seconds
Node: bert/encoder/layer_1/intermediate/dense/mul_2, Execution Time: 0.001838 seconds
Node: bert/encoder/layer_1/intermediate/dense/mul_3, Execution Time: 0.002411 seconds
Node: bert/encoder/layer_1/output/dense/MatMul, Execution Time: 0.002572 seconds
Node: bert/encoder/layer_1/output/dense/BiasAdd, Execution Time: 0.000360 seconds
Node: bert/encoder/layer_1/output/add, Execution Time: 0.000635 seconds
Node: bert/encoder/layer_1/output/LayerNorm/moments/mean, Execution Time: 0.000263 seconds
Node: bert/encoder/layer_1/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000395 seconds
Node: bert/encoder/layer_1/output/LayerNorm/moments/SquaredDifference__327, Execution Time: 0.000609 seconds
Node: bert/encoder/layer_1/output/LayerNorm/moments/variance, Execution Time: 0.000252 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/add, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000058 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/Rsqrt__329, Execution Time: 0.000086 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/mul, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000102 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/sub, Execution Time: 0.000099 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000505 seconds
Node: bert/encoder/layer_1/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000581 seconds
Node: bert/encoder/layer_2/attention/self/value/MatMul, Execution Time: 0.001113 seconds
Node: bert/encoder/layer_2/attention/self/value/BiasAdd, Execution Time: 0.000770 seconds
Node: bert/encoder/layer_2/attention/self/Reshape_2, Execution Time: 0.000047 seconds
Node: bert/encoder/layer_2/attention/self/transpose_2, Execution Time: 0.000836 seconds
Node: bert/encoder/layer_2/attention/self/query/MatMul, Execution Time: 0.001082 seconds
Node: bert/encoder/layer_2/attention/self/query/BiasAdd, Execution Time: 0.000746 seconds
Node: bert/encoder/layer_2/attention/self/Reshape, Execution Time: 0.000013 seconds
Node: bert/encoder/layer_2/attention/self/transpose, Execution Time: 0.000850 seconds
Node: bert/encoder/layer_2/attention/self/key/MatMul, Execution Time: 0.001104 seconds
Node: bert/encoder/layer_2/attention/self/key/BiasAdd, Execution Time: 0.000748 seconds
Node: bert/encoder/layer_2/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_2/attention/self/MatMul__334, Execution Time: 0.000670 seconds
Node: bert/encoder/layer_2/attention/self/MatMul, Execution Time: 0.001525 seconds
Node: bert/encoder/layer_2/attention/self/Mul, Execution Time: 0.001232 seconds
Node: bert/encoder/layer_2/attention/self/add, Execution Time: 0.001778 seconds
Node: bert/encoder/layer_2/attention/self/Softmax, Execution Time: 0.001995 seconds
Node: bert/encoder/layer_2/attention/self/MatMul_1, Execution Time: 0.001145 seconds
Node: bert/encoder/layer_2/attention/self/transpose_3, Execution Time: 0.000355 seconds
Node: bert/encoder/layer_2/attention/self/Reshape_3, Execution Time: 0.000037 seconds
Node: bert/encoder/layer_2/attention/output/dense/MatMul, Execution Time: 0.000839 seconds
Node: bert/encoder/layer_2/attention/output/dense/BiasAdd, Execution Time: 0.000597 seconds
Node: bert/encoder/layer_2/attention/output/add, Execution Time: 0.000865 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/moments/mean, Execution Time: 0.000256 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000659 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/moments/SquaredDifference__337, Execution Time: 0.000824 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/moments/variance, Execution Time: 0.000239 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000056 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/Rsqrt__339, Execution Time: 0.000093 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000648 seconds
Node: bert/encoder/layer_2/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000679 seconds
Node: bert/encoder/layer_2/intermediate/dense/MatMul, Execution Time: 0.002191 seconds
Node: bert/encoder/layer_2/intermediate/dense/BiasAdd, Execution Time: 0.001873 seconds
Node: bert/encoder/layer_2/intermediate/dense/Pow, Execution Time: 0.001935 seconds
Node: bert/encoder/layer_2/intermediate/dense/mul, Execution Time: 0.001916 seconds
Node: bert/encoder/layer_2/intermediate/dense/add, Execution Time: 0.002496 seconds
Node: bert/encoder/layer_2/intermediate/dense/mul_1, Execution Time: 0.001880 seconds
Node: bert/encoder/layer_2/intermediate/dense/Tanh, Execution Time: 0.001877 seconds
Node: bert/encoder/layer_2/intermediate/dense/add_1, Execution Time: 0.001864 seconds
Node: bert/encoder/layer_2/intermediate/dense/mul_2, Execution Time: 0.001848 seconds
Node: bert/encoder/layer_2/intermediate/dense/mul_3, Execution Time: 0.002449 seconds
Node: bert/encoder/layer_2/output/dense/MatMul, Execution Time: 0.002691 seconds
Node: bert/encoder/layer_2/output/dense/BiasAdd, Execution Time: 0.000410 seconds
Node: bert/encoder/layer_2/output/add, Execution Time: 0.000596 seconds
Node: bert/encoder/layer_2/output/LayerNorm/moments/mean, Execution Time: 0.000255 seconds
Node: bert/encoder/layer_2/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000392 seconds
Node: bert/encoder/layer_2/output/LayerNorm/moments/SquaredDifference__341, Execution Time: 0.000555 seconds
Node: bert/encoder/layer_2/output/LayerNorm/moments/variance, Execution Time: 0.000290 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/add, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000060 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/Rsqrt__343, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/sub, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000401 seconds
Node: bert/encoder/layer_2/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000427 seconds
Node: bert/encoder/layer_3/attention/self/value/MatMul, Execution Time: 0.000859 seconds
Node: bert/encoder/layer_3/attention/self/value/BiasAdd, Execution Time: 0.000601 seconds
Node: bert/encoder/layer_3/attention/self/Reshape_2, Execution Time: 0.000030 seconds
Node: bert/encoder/layer_3/attention/self/transpose_2, Execution Time: 0.000668 seconds
Node: bert/encoder/layer_3/attention/self/query/MatMul, Execution Time: 0.000854 seconds
Node: bert/encoder/layer_3/attention/self/query/BiasAdd, Execution Time: 0.000878 seconds
Node: bert/encoder/layer_3/attention/self/Reshape, Execution Time: 0.000024 seconds
Node: bert/encoder/layer_3/attention/self/transpose, Execution Time: 0.000851 seconds
Node: bert/encoder/layer_3/attention/self/key/MatMul, Execution Time: 0.000908 seconds
Node: bert/encoder/layer_3/attention/self/key/BiasAdd, Execution Time: 0.000679 seconds
Node: bert/encoder/layer_3/attention/self/Reshape_1, Execution Time: 0.000014 seconds
Node: bert/encoder/layer_3/attention/self/MatMul__348, Execution Time: 0.000738 seconds
Node: bert/encoder/layer_3/attention/self/MatMul, Execution Time: 0.001674 seconds
Node: bert/encoder/layer_3/attention/self/Mul, Execution Time: 0.001269 seconds
Node: bert/encoder/layer_3/attention/self/add, Execution Time: 0.002073 seconds
Node: bert/encoder/layer_3/attention/self/Softmax, Execution Time: 0.002213 seconds
Node: bert/encoder/layer_3/attention/self/MatMul_1, Execution Time: 0.001187 seconds
Node: bert/encoder/layer_3/attention/self/transpose_3, Execution Time: 0.000427 seconds
Node: bert/encoder/layer_3/attention/self/Reshape_3, Execution Time: 0.000047 seconds
Node: bert/encoder/layer_3/attention/output/dense/MatMul, Execution Time: 0.000892 seconds
Node: bert/encoder/layer_3/attention/output/dense/BiasAdd, Execution Time: 0.000687 seconds
Node: bert/encoder/layer_3/attention/output/add, Execution Time: 0.000955 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/moments/mean, Execution Time: 0.000285 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000771 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/moments/SquaredDifference__351, Execution Time: 0.000914 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/moments/variance, Execution Time: 0.000256 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000089 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000065 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/Rsqrt__353, Execution Time: 0.000097 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000136 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000095 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000089 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000765 seconds
Node: bert/encoder/layer_3/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000893 seconds
Node: bert/encoder/layer_3/intermediate/dense/MatMul, Execution Time: 0.002253 seconds
Node: bert/encoder/layer_3/intermediate/dense/BiasAdd, Execution Time: 0.001940 seconds
Node: bert/encoder/layer_3/intermediate/dense/Pow, Execution Time: 0.002200 seconds
Node: bert/encoder/layer_3/intermediate/dense/mul, Execution Time: 0.002178 seconds
Node: bert/encoder/layer_3/intermediate/dense/add, Execution Time: 0.003325 seconds
Node: bert/encoder/layer_3/intermediate/dense/mul_1, Execution Time: 0.002681 seconds
Node: bert/encoder/layer_3/intermediate/dense/Tanh, Execution Time: 0.002738 seconds
Node: bert/encoder/layer_3/intermediate/dense/add_1, Execution Time: 0.002450 seconds
Node: bert/encoder/layer_3/intermediate/dense/mul_2, Execution Time: 0.001890 seconds
Node: bert/encoder/layer_3/intermediate/dense/mul_3, Execution Time: 0.002413 seconds
Node: bert/encoder/layer_3/output/dense/MatMul, Execution Time: 0.002623 seconds
Node: bert/encoder/layer_3/output/dense/BiasAdd, Execution Time: 0.000356 seconds
Node: bert/encoder/layer_3/output/add, Execution Time: 0.000618 seconds
Node: bert/encoder/layer_3/output/LayerNorm/moments/mean, Execution Time: 0.000263 seconds
Node: bert/encoder/layer_3/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000425 seconds
Node: bert/encoder/layer_3/output/LayerNorm/moments/SquaredDifference__355, Execution Time: 0.000579 seconds
Node: bert/encoder/layer_3/output/LayerNorm/moments/variance, Execution Time: 0.000248 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/add, Execution Time: 0.000081 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000058 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/Rsqrt__357, Execution Time: 0.000084 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/mul, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000075 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/sub, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000415 seconds
Node: bert/encoder/layer_3/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000434 seconds
Node: bert/encoder/layer_4/attention/self/value/MatMul, Execution Time: 0.000905 seconds
Node: bert/encoder/layer_4/attention/self/value/BiasAdd, Execution Time: 0.000623 seconds
Node: bert/encoder/layer_4/attention/self/Reshape_2, Execution Time: 0.000029 seconds
Node: bert/encoder/layer_4/attention/self/transpose_2, Execution Time: 0.000681 seconds
Node: bert/encoder/layer_4/attention/self/query/MatMul, Execution Time: 0.000915 seconds
Node: bert/encoder/layer_4/attention/self/query/BiasAdd, Execution Time: 0.000590 seconds
Node: bert/encoder/layer_4/attention/self/Reshape, Execution Time: 0.000020 seconds
Node: bert/encoder/layer_4/attention/self/transpose, Execution Time: 0.000654 seconds
Node: bert/encoder/layer_4/attention/self/key/MatMul, Execution Time: 0.000882 seconds
Node: bert/encoder/layer_4/attention/self/key/BiasAdd, Execution Time: 0.000594 seconds
Node: bert/encoder/layer_4/attention/self/Reshape_1, Execution Time: 0.000019 seconds
Node: bert/encoder/layer_4/attention/self/MatMul__362, Execution Time: 0.000650 seconds
Node: bert/encoder/layer_4/attention/self/MatMul, Execution Time: 0.001553 seconds
Node: bert/encoder/layer_4/attention/self/Mul, Execution Time: 0.001226 seconds
Node: bert/encoder/layer_4/attention/self/add, Execution Time: 0.001808 seconds
Node: bert/encoder/layer_4/attention/self/Softmax, Execution Time: 0.002079 seconds
Node: bert/encoder/layer_4/attention/self/MatMul_1, Execution Time: 0.001123 seconds
Node: bert/encoder/layer_4/attention/self/transpose_3, Execution Time: 0.000372 seconds
Node: bert/encoder/layer_4/attention/self/Reshape_3, Execution Time: 0.000042 seconds
Node: bert/encoder/layer_4/attention/output/dense/MatMul, Execution Time: 0.000882 seconds
Node: bert/encoder/layer_4/attention/output/dense/BiasAdd, Execution Time: 0.000640 seconds
Node: bert/encoder/layer_4/attention/output/add, Execution Time: 0.000884 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/moments/mean, Execution Time: 0.000257 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000662 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/moments/SquaredDifference__365, Execution Time: 0.000813 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/moments/variance, Execution Time: 0.000248 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000059 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/Rsqrt__367, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000088 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000659 seconds
Node: bert/encoder/layer_4/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000667 seconds
Node: bert/encoder/layer_4/intermediate/dense/MatMul, Execution Time: 0.002138 seconds
Node: bert/encoder/layer_4/intermediate/dense/BiasAdd, Execution Time: 0.001744 seconds
Node: bert/encoder/layer_4/intermediate/dense/Pow, Execution Time: 0.001949 seconds
Node: bert/encoder/layer_4/intermediate/dense/mul, Execution Time: 0.001999 seconds
Node: bert/encoder/layer_4/intermediate/dense/add, Execution Time: 0.002471 seconds
Node: bert/encoder/layer_4/intermediate/dense/mul_1, Execution Time: 0.001936 seconds
Node: bert/encoder/layer_4/intermediate/dense/Tanh, Execution Time: 0.001891 seconds
Node: bert/encoder/layer_4/intermediate/dense/add_1, Execution Time: 0.001945 seconds
Node: bert/encoder/layer_4/intermediate/dense/mul_2, Execution Time: 0.001934 seconds
Node: bert/encoder/layer_4/intermediate/dense/mul_3, Execution Time: 0.002528 seconds
Node: bert/encoder/layer_4/output/dense/MatMul, Execution Time: 0.002568 seconds
Node: bert/encoder/layer_4/output/dense/BiasAdd, Execution Time: 0.000357 seconds
Node: bert/encoder/layer_4/output/add, Execution Time: 0.000647 seconds
Node: bert/encoder/layer_4/output/LayerNorm/moments/mean, Execution Time: 0.000253 seconds
Node: bert/encoder/layer_4/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000395 seconds
Node: bert/encoder/layer_4/output/LayerNorm/moments/SquaredDifference__369, Execution Time: 0.000578 seconds
Node: bert/encoder/layer_4/output/LayerNorm/moments/variance, Execution Time: 0.000245 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/add, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/Rsqrt__371, Execution Time: 0.000081 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/sub, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000385 seconds
Node: bert/encoder/layer_4/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000447 seconds
Node: bert/encoder/layer_5/attention/self/value/MatMul, Execution Time: 0.000831 seconds
Node: bert/encoder/layer_5/attention/self/value/BiasAdd, Execution Time: 0.000592 seconds
Node: bert/encoder/layer_5/attention/self/Reshape_2, Execution Time: 0.000030 seconds
Node: bert/encoder/layer_5/attention/self/transpose_2, Execution Time: 0.000645 seconds
Node: bert/encoder/layer_5/attention/self/query/MatMul, Execution Time: 0.000823 seconds
Node: bert/encoder/layer_5/attention/self/query/BiasAdd, Execution Time: 0.000595 seconds
Node: bert/encoder/layer_5/attention/self/Reshape, Execution Time: 0.000012 seconds
Node: bert/encoder/layer_5/attention/self/transpose, Execution Time: 0.000641 seconds
Node: bert/encoder/layer_5/attention/self/key/MatMul, Execution Time: 0.000831 seconds
Node: bert/encoder/layer_5/attention/self/key/BiasAdd, Execution Time: 0.000592 seconds
Node: bert/encoder/layer_5/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_5/attention/self/MatMul__376, Execution Time: 0.000674 seconds
Node: bert/encoder/layer_5/attention/self/MatMul, Execution Time: 0.001515 seconds
Node: bert/encoder/layer_5/attention/self/Mul, Execution Time: 0.001233 seconds
Node: bert/encoder/layer_5/attention/self/add, Execution Time: 0.001842 seconds
Node: bert/encoder/layer_5/attention/self/Softmax, Execution Time: 0.002027 seconds
Node: bert/encoder/layer_5/attention/self/MatMul_1, Execution Time: 0.001135 seconds
Node: bert/encoder/layer_5/attention/self/transpose_3, Execution Time: 0.000409 seconds
Node: bert/encoder/layer_5/attention/self/Reshape_3, Execution Time: 0.000035 seconds
Node: bert/encoder/layer_5/attention/output/dense/MatMul, Execution Time: 0.000884 seconds
Node: bert/encoder/layer_5/attention/output/dense/BiasAdd, Execution Time: 0.000612 seconds
Node: bert/encoder/layer_5/attention/output/add, Execution Time: 0.000840 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/moments/mean, Execution Time: 0.000264 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000629 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/moments/SquaredDifference__379, Execution Time: 0.000816 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/moments/variance, Execution Time: 0.000245 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/Rsqrt__381, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000628 seconds
Node: bert/encoder/layer_5/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000658 seconds
Node: bert/encoder/layer_5/intermediate/dense/MatMul, Execution Time: 0.002167 seconds
Node: bert/encoder/layer_5/intermediate/dense/BiasAdd, Execution Time: 0.001763 seconds
Node: bert/encoder/layer_5/intermediate/dense/Pow, Execution Time: 0.001971 seconds
Node: bert/encoder/layer_5/intermediate/dense/mul, Execution Time: 0.001911 seconds
Node: bert/encoder/layer_5/intermediate/dense/add, Execution Time: 0.002553 seconds
Node: bert/encoder/layer_5/intermediate/dense/mul_1, Execution Time: 0.001944 seconds
Node: bert/encoder/layer_5/intermediate/dense/Tanh, Execution Time: 0.002001 seconds
Node: bert/encoder/layer_5/intermediate/dense/add_1, Execution Time: 0.001930 seconds
Node: bert/encoder/layer_5/intermediate/dense/mul_2, Execution Time: 0.001891 seconds
Node: bert/encoder/layer_5/intermediate/dense/mul_3, Execution Time: 0.002441 seconds
Node: bert/encoder/layer_5/output/dense/MatMul, Execution Time: 0.002590 seconds
Node: bert/encoder/layer_5/output/dense/BiasAdd, Execution Time: 0.000355 seconds
Node: bert/encoder/layer_5/output/add, Execution Time: 0.000619 seconds
Node: bert/encoder/layer_5/output/LayerNorm/moments/mean, Execution Time: 0.000254 seconds
Node: bert/encoder/layer_5/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000401 seconds
Node: bert/encoder/layer_5/output/LayerNorm/moments/SquaredDifference__383, Execution Time: 0.000564 seconds
Node: bert/encoder/layer_5/output/LayerNorm/moments/variance, Execution Time: 0.000243 seconds
Node: bert/encoder/layer_5/output/LayerNorm/batchnorm/add, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_5/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000058 seconds
Node: bert/encoder/layer_5/output/LayerNorm/batchnorm/Rsqrt__385, Execution Time: 0.000097 seconds
Node: bert/encoder/layer_5/output/LayerNorm/batchnorm/mul, Execution Time: 0.000077 seconds
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Node: bert/encoder/layer_5/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000427 seconds
Node: bert/encoder/layer_6/attention/self/value/MatMul, Execution Time: 0.000846 seconds
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Node: bert/encoder/layer_6/attention/self/query/MatMul, Execution Time: 0.000833 seconds
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Node: bert/encoder/layer_6/attention/self/transpose, Execution Time: 0.000648 seconds
Node: bert/encoder/layer_6/attention/self/key/MatMul, Execution Time: 0.000811 seconds
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Node: bert/encoder/layer_6/attention/self/MatMul, Execution Time: 0.001576 seconds
Node: bert/encoder/layer_6/attention/self/Mul, Execution Time: 0.001204 seconds
Node: bert/encoder/layer_6/attention/self/add, Execution Time: 0.001848 seconds
Node: bert/encoder/layer_6/attention/self/Softmax, Execution Time: 0.001984 seconds
Node: bert/encoder/layer_6/attention/self/MatMul_1, Execution Time: 0.001079 seconds
Node: bert/encoder/layer_6/attention/self/transpose_3, Execution Time: 0.000350 seconds
Node: bert/encoder/layer_6/attention/self/Reshape_3, Execution Time: 0.000041 seconds
Node: bert/encoder/layer_6/attention/output/dense/MatMul, Execution Time: 0.000838 seconds
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Node: bert/encoder/layer_6/attention/output/LayerNorm/moments/mean, Execution Time: 0.000258 seconds
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Node: bert/encoder/layer_6/attention/output/LayerNorm/moments/variance, Execution Time: 0.000266 seconds
Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000080 seconds
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Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000072 seconds
Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000652 seconds
Node: bert/encoder/layer_6/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000685 seconds
Node: bert/encoder/layer_6/intermediate/dense/MatMul, Execution Time: 0.002253 seconds
Node: bert/encoder/layer_6/intermediate/dense/BiasAdd, Execution Time: 0.001844 seconds
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Node: bert/encoder/layer_6/intermediate/dense/mul, Execution Time: 0.001997 seconds
Node: bert/encoder/layer_6/intermediate/dense/add, Execution Time: 0.002475 seconds
Node: bert/encoder/layer_6/intermediate/dense/mul_1, Execution Time: 0.002036 seconds
Node: bert/encoder/layer_6/intermediate/dense/Tanh, Execution Time: 0.001874 seconds
Node: bert/encoder/layer_6/intermediate/dense/add_1, Execution Time: 0.001909 seconds
Node: bert/encoder/layer_6/intermediate/dense/mul_2, Execution Time: 0.001871 seconds
Node: bert/encoder/layer_6/intermediate/dense/mul_3, Execution Time: 0.002447 seconds
Node: bert/encoder/layer_6/output/dense/MatMul, Execution Time: 0.002618 seconds
Node: bert/encoder/layer_6/output/dense/BiasAdd, Execution Time: 0.000363 seconds
Node: bert/encoder/layer_6/output/add, Execution Time: 0.000618 seconds
Node: bert/encoder/layer_6/output/LayerNorm/moments/mean, Execution Time: 0.000257 seconds
Node: bert/encoder/layer_6/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000398 seconds
Node: bert/encoder/layer_6/output/LayerNorm/moments/SquaredDifference__397, Execution Time: 0.000574 seconds
Node: bert/encoder/layer_6/output/LayerNorm/moments/variance, Execution Time: 0.000236 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/add, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000056 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/Rsqrt__399, Execution Time: 0.000094 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/mul, Execution Time: 0.000091 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000098 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/sub, Execution Time: 0.000086 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000445 seconds
Node: bert/encoder/layer_6/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000418 seconds
Node: bert/encoder/layer_7/attention/self/value/MatMul, Execution Time: 0.000828 seconds
Node: bert/encoder/layer_7/attention/self/value/BiasAdd, Execution Time: 0.000648 seconds
Node: bert/encoder/layer_7/attention/self/Reshape_2, Execution Time: 0.000031 seconds
Node: bert/encoder/layer_7/attention/self/transpose_2, Execution Time: 0.000654 seconds
Node: bert/encoder/layer_7/attention/self/query/MatMul, Execution Time: 0.000823 seconds
Node: bert/encoder/layer_7/attention/self/query/BiasAdd, Execution Time: 0.000593 seconds
Node: bert/encoder/layer_7/attention/self/Reshape, Execution Time: 0.000012 seconds
Node: bert/encoder/layer_7/attention/self/transpose, Execution Time: 0.000661 seconds
Node: bert/encoder/layer_7/attention/self/key/MatMul, Execution Time: 0.000830 seconds
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Node: bert/encoder/layer_7/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_7/attention/self/MatMul__404, Execution Time: 0.000669 seconds
Node: bert/encoder/layer_7/attention/self/MatMul, Execution Time: 0.001552 seconds
Node: bert/encoder/layer_7/attention/self/Mul, Execution Time: 0.001162 seconds
Node: bert/encoder/layer_7/attention/self/add, Execution Time: 0.001778 seconds
Node: bert/encoder/layer_7/attention/self/Softmax, Execution Time: 0.001961 seconds
Node: bert/encoder/layer_7/attention/self/MatMul_1, Execution Time: 0.001072 seconds
Node: bert/encoder/layer_7/attention/self/transpose_3, Execution Time: 0.000353 seconds
Node: bert/encoder/layer_7/attention/self/Reshape_3, Execution Time: 0.000044 seconds
Node: bert/encoder/layer_7/attention/output/dense/MatMul, Execution Time: 0.000816 seconds
Node: bert/encoder/layer_7/attention/output/dense/BiasAdd, Execution Time: 0.000583 seconds
Node: bert/encoder/layer_7/attention/output/add, Execution Time: 0.000847 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/moments/mean, Execution Time: 0.000264 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000653 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/moments/SquaredDifference__407, Execution Time: 0.000865 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/moments/variance, Execution Time: 0.000246 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000082 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/Rsqrt__409, Execution Time: 0.000197 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000075 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000655 seconds
Node: bert/encoder/layer_7/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000886 seconds
Node: bert/encoder/layer_7/intermediate/dense/MatMul, Execution Time: 0.003348 seconds
Node: bert/encoder/layer_7/intermediate/dense/BiasAdd, Execution Time: 0.002504 seconds
Node: bert/encoder/layer_7/intermediate/dense/Pow, Execution Time: 0.002551 seconds
Node: bert/encoder/layer_7/intermediate/dense/mul, Execution Time: 0.001902 seconds
Node: bert/encoder/layer_7/intermediate/dense/add, Execution Time: 0.002387 seconds
Node: bert/encoder/layer_7/intermediate/dense/mul_1, Execution Time: 0.001894 seconds
Node: bert/encoder/layer_7/intermediate/dense/Tanh, Execution Time: 0.001869 seconds
Node: bert/encoder/layer_7/intermediate/dense/add_1, Execution Time: 0.001886 seconds
Node: bert/encoder/layer_7/intermediate/dense/mul_2, Execution Time: 0.001863 seconds
Node: bert/encoder/layer_7/intermediate/dense/mul_3, Execution Time: 0.002483 seconds
Node: bert/encoder/layer_7/output/dense/MatMul, Execution Time: 0.002611 seconds
Node: bert/encoder/layer_7/output/dense/BiasAdd, Execution Time: 0.000362 seconds
Node: bert/encoder/layer_7/output/add, Execution Time: 0.000606 seconds
Node: bert/encoder/layer_7/output/LayerNorm/moments/mean, Execution Time: 0.000263 seconds
Node: bert/encoder/layer_7/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000391 seconds
Node: bert/encoder/layer_7/output/LayerNorm/moments/SquaredDifference__411, Execution Time: 0.000586 seconds
Node: bert/encoder/layer_7/output/LayerNorm/moments/variance, Execution Time: 0.000242 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/add, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/Rsqrt__413, Execution Time: 0.000103 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/mul, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000393 seconds
Node: bert/encoder/layer_7/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000443 seconds
Node: bert/encoder/layer_8/attention/self/value/MatMul, Execution Time: 0.000826 seconds
Node: bert/encoder/layer_8/attention/self/value/BiasAdd, Execution Time: 0.000650 seconds
Node: bert/encoder/layer_8/attention/self/Reshape_2, Execution Time: 0.000031 seconds
Node: bert/encoder/layer_8/attention/self/transpose_2, Execution Time: 0.000665 seconds
Node: bert/encoder/layer_8/attention/self/query/MatMul, Execution Time: 0.000834 seconds
Node: bert/encoder/layer_8/attention/self/query/BiasAdd, Execution Time: 0.000612 seconds
Node: bert/encoder/layer_8/attention/self/Reshape, Execution Time: 0.000014 seconds
Node: bert/encoder/layer_8/attention/self/transpose, Execution Time: 0.000664 seconds
Node: bert/encoder/layer_8/attention/self/key/MatMul, Execution Time: 0.000814 seconds
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Node: bert/encoder/layer_8/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_8/attention/self/MatMul__418, Execution Time: 0.000694 seconds
Node: bert/encoder/layer_8/attention/self/MatMul, Execution Time: 0.001452 seconds
Node: bert/encoder/layer_8/attention/self/Mul, Execution Time: 0.001154 seconds
Node: bert/encoder/layer_8/attention/self/add, Execution Time: 0.001780 seconds
Node: bert/encoder/layer_8/attention/self/Softmax, Execution Time: 0.001961 seconds
Node: bert/encoder/layer_8/attention/self/MatMul_1, Execution Time: 0.001049 seconds
Node: bert/encoder/layer_8/attention/self/transpose_3, Execution Time: 0.000341 seconds
Node: bert/encoder/layer_8/attention/self/Reshape_3, Execution Time: 0.000036 seconds
Node: bert/encoder/layer_8/attention/output/dense/MatMul, Execution Time: 0.000810 seconds
Node: bert/encoder/layer_8/attention/output/dense/BiasAdd, Execution Time: 0.000597 seconds
Node: bert/encoder/layer_8/attention/output/add, Execution Time: 0.000856 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/moments/mean, Execution Time: 0.000271 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000654 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/moments/SquaredDifference__421, Execution Time: 0.000886 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/moments/variance, Execution Time: 0.000243 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/Rsqrt__423, Execution Time: 0.000094 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000086 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000635 seconds
Node: bert/encoder/layer_8/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000665 seconds
Node: bert/encoder/layer_8/intermediate/dense/MatMul, Execution Time: 0.002090 seconds
Node: bert/encoder/layer_8/intermediate/dense/BiasAdd, Execution Time: 0.001770 seconds
Node: bert/encoder/layer_8/intermediate/dense/Pow, Execution Time: 0.001944 seconds
Node: bert/encoder/layer_8/intermediate/dense/mul, Execution Time: 0.001942 seconds
Node: bert/encoder/layer_8/intermediate/dense/add, Execution Time: 0.002400 seconds
Node: bert/encoder/layer_8/intermediate/dense/mul_1, Execution Time: 0.001897 seconds
Node: bert/encoder/layer_8/intermediate/dense/Tanh, Execution Time: 0.001899 seconds
Node: bert/encoder/layer_8/intermediate/dense/add_1, Execution Time: 0.001938 seconds
Node: bert/encoder/layer_8/intermediate/dense/mul_2, Execution Time: 0.001914 seconds
Node: bert/encoder/layer_8/intermediate/dense/mul_3, Execution Time: 0.002474 seconds
Node: bert/encoder/layer_8/output/dense/MatMul, Execution Time: 0.002604 seconds
Node: bert/encoder/layer_8/output/dense/BiasAdd, Execution Time: 0.000363 seconds
Node: bert/encoder/layer_8/output/add, Execution Time: 0.000621 seconds
Node: bert/encoder/layer_8/output/LayerNorm/moments/mean, Execution Time: 0.000251 seconds
Node: bert/encoder/layer_8/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000394 seconds
Node: bert/encoder/layer_8/output/LayerNorm/moments/SquaredDifference__425, Execution Time: 0.000578 seconds
Node: bert/encoder/layer_8/output/LayerNorm/moments/variance, Execution Time: 0.000236 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/add, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000063 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/Rsqrt__427, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000072 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/sub, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000404 seconds
Node: bert/encoder/layer_8/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000437 seconds
Node: bert/encoder/layer_9/attention/self/value/MatMul, Execution Time: 0.000854 seconds
Node: bert/encoder/layer_9/attention/self/value/BiasAdd, Execution Time: 0.000609 seconds
Node: bert/encoder/layer_9/attention/self/Reshape_2, Execution Time: 0.000030 seconds
Node: bert/encoder/layer_9/attention/self/transpose_2, Execution Time: 0.000660 seconds
Node: bert/encoder/layer_9/attention/self/query/MatMul, Execution Time: 0.000815 seconds
Node: bert/encoder/layer_9/attention/self/query/BiasAdd, Execution Time: 0.000588 seconds
Node: bert/encoder/layer_9/attention/self/Reshape, Execution Time: 0.000012 seconds
Node: bert/encoder/layer_9/attention/self/transpose, Execution Time: 0.000708 seconds
Node: bert/encoder/layer_9/attention/self/key/MatMul, Execution Time: 0.000826 seconds
Node: bert/encoder/layer_9/attention/self/key/BiasAdd, Execution Time: 0.000698 seconds
Node: bert/encoder/layer_9/attention/self/Reshape_1, Execution Time: 0.000012 seconds
Node: bert/encoder/layer_9/attention/self/MatMul__432, Execution Time: 0.000833 seconds
Node: bert/encoder/layer_9/attention/self/MatMul, Execution Time: 0.001895 seconds
Node: bert/encoder/layer_9/attention/self/Mul, Execution Time: 0.001525 seconds
Node: bert/encoder/layer_9/attention/self/add, Execution Time: 0.002471 seconds
Node: bert/encoder/layer_9/attention/self/Softmax, Execution Time: 0.002511 seconds
Node: bert/encoder/layer_9/attention/self/MatMul_1, Execution Time: 0.001042 seconds
Node: bert/encoder/layer_9/attention/self/transpose_3, Execution Time: 0.000381 seconds
Node: bert/encoder/layer_9/attention/self/Reshape_3, Execution Time: 0.000038 seconds
Node: bert/encoder/layer_9/attention/output/dense/MatMul, Execution Time: 0.000832 seconds
Node: bert/encoder/layer_9/attention/output/dense/BiasAdd, Execution Time: 0.000627 seconds
Node: bert/encoder/layer_9/attention/output/add, Execution Time: 0.000857 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/moments/mean, Execution Time: 0.000256 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000655 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/moments/SquaredDifference__435, Execution Time: 0.000810 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/moments/variance, Execution Time: 0.000259 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000089 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/Rsqrt__437, Execution Time: 0.000093 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000080 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000639 seconds
Node: bert/encoder/layer_9/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000655 seconds
Node: bert/encoder/layer_9/intermediate/dense/MatMul, Execution Time: 0.002046 seconds
Node: bert/encoder/layer_9/intermediate/dense/BiasAdd, Execution Time: 0.001705 seconds
Node: bert/encoder/layer_9/intermediate/dense/Pow, Execution Time: 0.001965 seconds
Node: bert/encoder/layer_9/intermediate/dense/mul, Execution Time: 0.002001 seconds
Node: bert/encoder/layer_9/intermediate/dense/add, Execution Time: 0.002467 seconds
Node: bert/encoder/layer_9/intermediate/dense/mul_1, Execution Time: 0.001926 seconds
Node: bert/encoder/layer_9/intermediate/dense/Tanh, Execution Time: 0.001907 seconds
Node: bert/encoder/layer_9/intermediate/dense/add_1, Execution Time: 0.001983 seconds
Node: bert/encoder/layer_9/intermediate/dense/mul_2, Execution Time: 0.001966 seconds
Node: bert/encoder/layer_9/intermediate/dense/mul_3, Execution Time: 0.002498 seconds
Node: bert/encoder/layer_9/output/dense/MatMul, Execution Time: 0.002375 seconds
Node: bert/encoder/layer_9/output/dense/BiasAdd, Execution Time: 0.000355 seconds
Node: bert/encoder/layer_9/output/add, Execution Time: 0.000615 seconds
Node: bert/encoder/layer_9/output/LayerNorm/moments/mean, Execution Time: 0.000272 seconds
Node: bert/encoder/layer_9/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000394 seconds
Node: bert/encoder/layer_9/output/LayerNorm/moments/SquaredDifference__439, Execution Time: 0.000573 seconds
Node: bert/encoder/layer_9/output/LayerNorm/moments/variance, Execution Time: 0.000257 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/add, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/Rsqrt__441, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/sub, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000391 seconds
Node: bert/encoder/layer_9/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000761 seconds
Node: bert/encoder/layer_10/attention/self/value/MatMul, Execution Time: 0.000843 seconds
Node: bert/encoder/layer_10/attention/self/value/BiasAdd, Execution Time: 0.000601 seconds
Node: bert/encoder/layer_10/attention/self/Reshape_2, Execution Time: 0.000030 seconds
Node: bert/encoder/layer_10/attention/self/transpose_2, Execution Time: 0.000674 seconds
Node: bert/encoder/layer_10/attention/self/query/MatMul, Execution Time: 0.000809 seconds
Node: bert/encoder/layer_10/attention/self/query/BiasAdd, Execution Time: 0.000582 seconds
Node: bert/encoder/layer_10/attention/self/Reshape, Execution Time: 0.000012 seconds
Node: bert/encoder/layer_10/attention/self/transpose, Execution Time: 0.000638 seconds
Node: bert/encoder/layer_10/attention/self/key/MatMul, Execution Time: 0.000884 seconds
Node: bert/encoder/layer_10/attention/self/key/BiasAdd, Execution Time: 0.000572 seconds
Node: bert/encoder/layer_10/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_10/attention/self/MatMul__446, Execution Time: 0.000645 seconds
Node: bert/encoder/layer_10/attention/self/MatMul, Execution Time: 0.001483 seconds
Node: bert/encoder/layer_10/attention/self/Mul, Execution Time: 0.001150 seconds
Node: bert/encoder/layer_10/attention/self/add, Execution Time: 0.001845 seconds
Node: bert/encoder/layer_10/attention/self/Softmax, Execution Time: 0.002062 seconds
Node: bert/encoder/layer_10/attention/self/MatMul_1, Execution Time: 0.001049 seconds
Node: bert/encoder/layer_10/attention/self/transpose_3, Execution Time: 0.000372 seconds
Node: bert/encoder/layer_10/attention/self/Reshape_3, Execution Time: 0.000038 seconds
Node: bert/encoder/layer_10/attention/output/dense/MatMul, Execution Time: 0.000818 seconds
Node: bert/encoder/layer_10/attention/output/dense/BiasAdd, Execution Time: 0.000593 seconds
Node: bert/encoder/layer_10/attention/output/add, Execution Time: 0.000886 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/moments/mean, Execution Time: 0.000260 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000638 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/moments/SquaredDifference__449, Execution Time: 0.000805 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/moments/variance, Execution Time: 0.000242 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/Rsqrt__451, Execution Time: 0.000096 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000082 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000625 seconds
Node: bert/encoder/layer_10/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000699 seconds
Node: bert/encoder/layer_10/intermediate/dense/MatMul, Execution Time: 0.002171 seconds
Node: bert/encoder/layer_10/intermediate/dense/BiasAdd, Execution Time: 0.001771 seconds
Node: bert/encoder/layer_10/intermediate/dense/Pow, Execution Time: 0.001981 seconds
Node: bert/encoder/layer_10/intermediate/dense/mul, Execution Time: 0.001985 seconds
Node: bert/encoder/layer_10/intermediate/dense/add, Execution Time: 0.002463 seconds
Node: bert/encoder/layer_10/intermediate/dense/mul_1, Execution Time: 0.001956 seconds
Node: bert/encoder/layer_10/intermediate/dense/Tanh, Execution Time: 0.001906 seconds
Node: bert/encoder/layer_10/intermediate/dense/add_1, Execution Time: 0.001924 seconds
Node: bert/encoder/layer_10/intermediate/dense/mul_2, Execution Time: 0.001986 seconds
Node: bert/encoder/layer_10/intermediate/dense/mul_3, Execution Time: 0.002471 seconds
Node: bert/encoder/layer_10/output/dense/MatMul, Execution Time: 0.002593 seconds
Node: bert/encoder/layer_10/output/dense/BiasAdd, Execution Time: 0.000363 seconds
Node: bert/encoder/layer_10/output/add, Execution Time: 0.000613 seconds
Node: bert/encoder/layer_10/output/LayerNorm/moments/mean, Execution Time: 0.000251 seconds
Node: bert/encoder/layer_10/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000399 seconds
Node: bert/encoder/layer_10/output/LayerNorm/moments/SquaredDifference__453, Execution Time: 0.000568 seconds
Node: bert/encoder/layer_10/output/LayerNorm/moments/variance, Execution Time: 0.000252 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/add, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/Rsqrt__455, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/mul, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000074 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/sub, Execution Time: 0.000083 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000406 seconds
Node: bert/encoder/layer_10/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000424 seconds
Node: bert/encoder/layer_11/attention/self/value/MatMul, Execution Time: 0.000851 seconds
Node: bert/encoder/layer_11/attention/self/value/BiasAdd, Execution Time: 0.000589 seconds
Node: bert/encoder/layer_11/attention/self/Reshape_2, Execution Time: 0.000030 seconds
Node: bert/encoder/layer_11/attention/self/transpose_2, Execution Time: 0.000661 seconds
Node: bert/encoder/layer_11/attention/self/query/MatMul, Execution Time: 0.000845 seconds
Node: bert/encoder/layer_11/attention/self/query/BiasAdd, Execution Time: 0.000574 seconds
Node: bert/encoder/layer_11/attention/self/Reshape, Execution Time: 0.000016 seconds
Node: bert/encoder/layer_11/attention/self/transpose, Execution Time: 0.000676 seconds
Node: bert/encoder/layer_11/attention/self/key/MatMul, Execution Time: 0.000789 seconds
Node: bert/encoder/layer_11/attention/self/key/BiasAdd, Execution Time: 0.000604 seconds
Node: bert/encoder/layer_11/attention/self/Reshape_1, Execution Time: 0.000011 seconds
Node: bert/encoder/layer_11/attention/self/MatMul__460, Execution Time: 0.000644 seconds
Node: bert/encoder/layer_11/attention/self/MatMul, Execution Time: 0.001563 seconds
Node: bert/encoder/layer_11/attention/self/Mul, Execution Time: 0.001224 seconds
Node: bert/encoder/layer_11/attention/self/add, Execution Time: 0.001846 seconds
Node: bert/encoder/layer_11/attention/self/Softmax, Execution Time: 0.001970 seconds
Node: bert/encoder/layer_11/attention/self/MatMul_1, Execution Time: 0.001055 seconds
Node: bert/encoder/layer_11/attention/self/transpose_3, Execution Time: 0.000369 seconds
Node: bert/encoder/layer_11/attention/self/Reshape_3, Execution Time: 0.000038 seconds
Node: bert/encoder/layer_11/attention/output/dense/MatMul, Execution Time: 0.000781 seconds
Node: bert/encoder/layer_11/attention/output/dense/BiasAdd, Execution Time: 0.000608 seconds
Node: bert/encoder/layer_11/attention/output/add, Execution Time: 0.000904 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/moments/mean, Execution Time: 0.000268 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000654 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/moments/SquaredDifference__463, Execution Time: 0.000847 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/moments/variance, Execution Time: 0.000247 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/add, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000058 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/Rsqrt__465, Execution Time: 0.000094 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/mul, Execution Time: 0.000078 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000073 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/sub, Execution Time: 0.000076 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000658 seconds
Node: bert/encoder/layer_11/attention/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000678 seconds
Node: bert/encoder/layer_11/intermediate/dense/MatMul, Execution Time: 0.002049 seconds
Node: bert/encoder/layer_11/intermediate/dense/BiasAdd, Execution Time: 0.001844 seconds
Node: bert/encoder/layer_11/intermediate/dense/Pow, Execution Time: 0.002036 seconds
Node: bert/encoder/layer_11/intermediate/dense/mul, Execution Time: 0.002035 seconds
Node: bert/encoder/layer_11/intermediate/dense/add, Execution Time: 0.002480 seconds
Node: bert/encoder/layer_11/intermediate/dense/mul_1, Execution Time: 0.001962 seconds
Node: bert/encoder/layer_11/intermediate/dense/Tanh, Execution Time: 0.001882 seconds
Node: bert/encoder/layer_11/intermediate/dense/add_1, Execution Time: 0.001832 seconds
Node: bert/encoder/layer_11/intermediate/dense/mul_2, Execution Time: 0.001885 seconds
Node: bert/encoder/layer_11/intermediate/dense/mul_3, Execution Time: 0.002437 seconds
Node: bert/encoder/layer_11/output/dense/MatMul, Execution Time: 0.002596 seconds
Node: bert/encoder/layer_11/output/dense/BiasAdd, Execution Time: 0.000354 seconds
Node: bert/encoder/layer_11/output/add, Execution Time: 0.000615 seconds
Node: bert/encoder/layer_11/output/LayerNorm/moments/mean, Execution Time: 0.000266 seconds
Node: bert/encoder/layer_11/output/LayerNorm/moments/SquaredDifference, Execution Time: 0.000396 seconds
Node: bert/encoder/layer_11/output/LayerNorm/moments/SquaredDifference__467, Execution Time: 0.000575 seconds
Node: bert/encoder/layer_11/output/LayerNorm/moments/variance, Execution Time: 0.000248 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/add, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/Rsqrt, Execution Time: 0.000057 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/Rsqrt__469, Execution Time: 0.000096 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/mul, Execution Time: 0.000081 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/mul_2, Execution Time: 0.000079 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/sub, Execution Time: 0.000077 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/mul_1, Execution Time: 0.000389 seconds
Node: bert/encoder/layer_11/output/LayerNorm/batchnorm/add_1, Execution Time: 0.000430 seconds
Node: MatMul, Execution Time: 0.009495 seconds
Node: BiasAdd, Execution Time: 0.000202 seconds
Node: Reshape_1, Execution Time: 0.000033 seconds
Node: transpose, Execution Time: 0.000081 seconds
Node: unstack, Execution Time: 0.000058 seconds
Node: unstack__490, Execution Time: 0.000005 seconds
Node: unstack__488, Execution Time: 0.000006 seconds

Total Execution Time: 0.747523 seconds

Total Matmul Fuse Execution Time: 0.000000 seconds

Total Matmul + Add Execution Time: 0.379279 seconds
Execution complete.
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