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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]... -------------------------------------------------- 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]... -------------------------------------------------- Input Name: unique_ids_raw_output___9:0 Shape: (0,) Data (first 10 values): []... -------------------------------------------------- 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. 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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. 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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: 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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 Node: bert/encoder/layer_8/attention/self/key/BiasAdd, Execution Time: 0.000604 seconds Node: bert/encoder/layer_8/attention/self/Reshape_1, Execution Time: 0.000011 seconds Node: 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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: 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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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