GPU Kernel Information Aggregated by Layer
| layer_index | layer_name | layer_type | layer_duration (us) | layer_gpu_duration (us) | layer_cpu_duration (us) | layer_flops | layer_dram_read_bytes | layer_dram_write_bytes | layer_achieved_occupancy (%) | layer_arithmetic_intensity (flops/byte) | layer_arithmetic_throughput (GFlops) | layer_memory_bound |
|---|
layer_index | layer_name | layer_type | layer_duration (us) | layer_gpu_duration (us) | layer_cpu_duration (us) | layer_flops | layer_dram_read_bytes | layer_dram_write_bytes | layer_achieved_occupancy (%) | layer_arithmetic_intensity (flops/byte) | layer_arithmetic_throughput (GFlops) | layer_memory_bound |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | resnet_v1_152/Pad | Pad | 89.67 | 43.67 | 46.00 | 0 | 0.00 | 0.00 | 70.00 | 0.00 | 0.00 | true |
| 2 | resnet_v1_152/conv1/BatchNorm/batchnorm/mul_1-0-TransposeNHWCToNCHW-LayoutOptimizer | Transpose | 55.67 | 36.00 | 19.67 | 0 | 0.00 | 0.00 | 90.40 | 0.00 | 0.00 | true |
| 3 | resnet_v1_152/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 242.00 | 214.67 | 27.33 | 239239168 | 0.00 | 0.00 | 22.43 | 0.00 | 1114.47 | true |
| 4 | resnet_v1_152/conv1/BatchNorm/batchnorm/add_1 | Add | 80.00 | 59.67 | 20.33 | 802816 | 0.00 | 0.00 | 92.70 | 0.00 | 13.45 | true |
| 5 | resnet_v1_152/conv1/Relu | Relu | 76.33 | 68.00 | 8.33 | 0 | 0.00 | 0.00 | 92.90 | 0.00 | 0.00 | true |
| 6 | resnet_v1_152/pool1/MaxPool | MaxPool | 93.67 | 76.00 | 17.67 | 200704 | 0.00 | 0.00 | 69.50 | 0.00 | 2.64 | true |
| 7 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 111.00 | 58.00 | 53.00 | 26624000 | 0.00 | 0.00 | 14.72 | 0.00 | 459.03 | true |
| 8 | resnet_v1_152/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/batchnorm/mul_1 | Conv2D | 154.67 | 139.33 | 15.33 | 106496000 | 0.00 | 0.00 | 22.93 | 0.00 | 764.33 | true |
| 9 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 36.67 | 19.00 | 17.67 | 200704 | 0.00 | 0.00 | 83.10 | 0.00 | 10.56 | true |
| 10 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv1/Relu | Relu | 24.00 | 11.00 | 13.00 | 0 | 0.00 | 0.00 | 76.50 | 0.00 | 0.00 | true |
| 11 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 209.33 | 145.00 | 64.33 | 124444672 | 0.00 | 0.00 | 23.58 | 0.00 | 858.24 | true |
| 12 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 34.00 | 14.33 | 19.67 | 200704 | 0.00 | 0.00 | 84.00 | 0.00 | 14.00 | true |
| 13 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv2/Relu | Relu | 23.33 | 10.00 | 13.33 | 0 | 0.00 | 0.00 | 74.70 | 0.00 | 0.00 | true |
| 14 | resnet_v1_152/block1/unit_1/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 156.00 | 138.33 | 17.67 | 106496000 | 0.00 | 0.00 | 22.86 | 0.00 | 769.85 | true |
| 15 | resnet_v1_152/block1/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 109.00 | 100.00 | 9.00 | 802816 | 0.00 | 0.00 | 94.30 | 0.00 | 8.03 | true |
| 16 | resnet_v1_152/block1/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 78.67 | 71.33 | 7.33 | 802816 | 0.00 | 0.00 | 91.70 | 0.00 | 11.25 | true |
| 17 | resnet_v1_152/block1/unit_1/bottleneck_v1/Relu | Relu | 74.00 | 67.33 | 6.67 | 0 | 0.00 | 0.00 | 93.00 | 0.00 | 0.00 | true |
| 18 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 162.00 | 157.67 | 4.33 | 105267200 | 0.00 | 0.00 | 11.66 | 0.00 | 667.66 | true |
| 19 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 30.00 | 15.00 | 15.00 | 200704 | 0.00 | 0.00 | 84.00 | 0.00 | 13.38 | true |
| 20 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 21 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 180.33 | 145.00 | 35.33 | 124444672 | 0.00 | 0.00 | 23.75 | 0.00 | 858.24 | true |
| 22 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 29.00 | 14.00 | 15.00 | 200704 | 0.00 | 0.00 | 83.90 | 0.00 | 14.34 | true |
| 23 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv2/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 75.60 | 0.00 | 0.00 | true |
| 24 | resnet_v1_152/block1/unit_2/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.33 | 139.67 | 14.67 | 106496000 | 0.00 | 0.00 | 23.04 | 0.00 | 762.50 | true |
| 25 | resnet_v1_152/block1/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 105.67 | 99.67 | 6.00 | 802816 | 0.00 | 0.00 | 94.30 | 0.00 | 8.05 | true |
| 26 | resnet_v1_152/block1/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 78.00 | 71.33 | 6.67 | 802816 | 0.00 | 0.00 | 90.80 | 0.00 | 11.25 | true |
| 27 | resnet_v1_152/block1/unit_2/bottleneck_v1/Relu | Relu | 74.67 | 67.67 | 7.00 | 0 | 0.00 | 0.00 | 92.80 | 0.00 | 0.00 | true |
| 28 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 161.67 | 157.67 | 4.00 | 105267200 | 0.00 | 0.00 | 11.66 | 0.00 | 667.66 | true |
| 29 | resnet_v1_152/block1/unit_3/bottleneck_v1/shortcut/MaxPool | MaxPool | 60.67 | 35.00 | 25.67 | 200704 | 0.00 | 0.00 | 59.00 | 0.00 | 5.73 | true |
| 30 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 34.00 | 19.33 | 14.67 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 10.38 | true |
| 31 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv1/Relu | Relu | 25.00 | 10.33 | 14.67 | 0 | 0.00 | 0.00 | 72.20 | 0.00 | 0.00 | true |
| 32 | resnet_v1_152/block1/unit_3/bottleneck_v1/Pad | Pad | 48.33 | 37.00 | 11.33 | 0 | 0.00 | 0.00 | 76.00 | 0.00 | 0.00 | true |
| 33 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 177.67 | 197.00 | -19.33 | 66174976 | 0.00 | 0.00 | 8.78 | 0.00 | 335.91 | true |
| 34 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 69.80 | 0.00 | 6.27 | true |
| 35 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv2/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
| 36 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 111.67 | 67.67 | 44.00 | 29818880 | 0.00 | 0.00 | 15.80 | 0.00 | 440.67 | true |
| 37 | resnet_v1_152/block1/unit_3/bottleneck_v1/conv3/BatchNorm/batchnorm/add_1 | Add | 28.67 | 14.00 | 14.67 | 200704 | 0.00 | 0.00 | 83.10 | 0.00 | 14.34 | true |
| 38 | resnet_v1_152/block1/unit_3/bottleneck_v1/add | Add | 33.00 | 17.00 | 16.00 | 200704 | 0.00 | 0.00 | 78.40 | 0.00 | 11.81 | true |
| 39 | resnet_v1_152/block1/unit_3/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.40 | 0.00 | 0.00 | true |
| 40 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 126.67 | 107.00 | 19.67 | 58949632 | 0.00 | 0.00 | 15.28 | 0.00 | 550.93 | true |
| 41 | resnet_v1_152/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/batchnorm/mul_1 | Conv2D | 169.00 | 190.00 | -21.00 | 235798528 | 0.00 | 0.00 | 24.92 | 0.00 | 1241.04 | true |
| 42 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 29.67 | 11.33 | 18.33 | 100352 | 0.00 | 0.00 | 75.30 | 0.00 | 8.85 | true |
| 43 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv1/Relu | Relu | 21.33 | 8.00 | 13.33 | 0 | 0.00 | 0.00 | 69.20 | 0.00 | 0.00 | true |
| 44 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 187.67 | 155.00 | 32.67 | 141656064 | 0.00 | 0.00 | 30.82 | 0.00 | 913.91 | true |
| 45 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 9.67 | 17.67 | 100352 | 0.00 | 0.00 | 78.00 | 0.00 | 10.38 | true |
| 46 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv2/Relu | Relu | 21.33 | 7.00 | 14.33 | 0 | 0.00 | 0.00 | 73.00 | 0.00 | 0.00 | true |
| 47 | resnet_v1_152/block2/unit_1/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 138.00 | 121.00 | 17.00 | 118358016 | 0.00 | 0.00 | 23.81 | 0.00 | 978.17 | true |
| 48 | resnet_v1_152/block2/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 58.00 | 43.67 | 14.33 | 401408 | 0.00 | 0.00 | 87.40 | 0.00 | 9.19 | true |
| 49 | resnet_v1_152/block2/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 32.33 | 20.67 | 11.67 | 401408 | 0.00 | 0.00 | 89.20 | 0.00 | 19.42 | true |
| 50 | resnet_v1_152/block2/unit_1/bottleneck_v1/Relu | Relu | 27.33 | 15.00 | 12.33 | 0 | 0.00 | 0.00 | 86.10 | 0.00 | 0.00 | true |
| 51 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 196.33 | 219.67 | -23.33 | 104957952 | 0.00 | 0.00 | 20.87 | 0.00 | 477.80 | true |
| 52 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 29.67 | 10.00 | 19.67 | 100352 | 0.00 | 0.00 | 77.70 | 0.00 | 10.04 | true |
| 53 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv1/Relu | Relu | 22.33 | 8.00 | 14.33 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
| 54 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 189.00 | 156.00 | 33.00 | 141656064 | 0.00 | 0.00 | 31.19 | 0.00 | 908.05 | true |
| 55 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.67 | 10.00 | 17.67 | 100352 | 0.00 | 0.00 | 77.80 | 0.00 | 10.04 | true |
| 56 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv2/Relu | Relu | 21.00 | 7.00 | 14.00 | 0 | 0.00 | 0.00 | 73.20 | 0.00 | 0.00 | true |
| 57 | resnet_v1_152/block2/unit_2/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 140.00 | 123.00 | 17.00 | 118358016 | 0.00 | 0.00 | 23.91 | 0.00 | 962.26 | true |
| 58 | resnet_v1_152/block2/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 58.00 | 43.67 | 14.33 | 401408 | 0.00 | 0.00 | 87.30 | 0.00 | 9.19 | true |
| 59 | resnet_v1_152/block2/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 31.33 | 20.33 | 11.00 | 401408 | 0.00 | 0.00 | 88.90 | 0.00 | 19.74 | true |
| 60 | resnet_v1_152/block2/unit_2/bottleneck_v1/Relu | Relu | 26.00 | 15.00 | 11.00 | 0 | 0.00 | 0.00 | 85.90 | 0.00 | 0.00 | true |
| 61 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 175.00 | 219.33 | -44.33 | 104957952 | 0.00 | 0.00 | 20.86 | 0.00 | 478.53 | true |
| 62 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 31.00 | 10.00 | 21.00 | 100352 | 0.00 | 0.00 | 77.80 | 0.00 | 10.04 | true |
| 63 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv1/Relu | Relu | 21.33 | 7.33 | 14.00 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
| 64 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 192.00 | 155.33 | 36.67 | 141656064 | 0.00 | 0.00 | 31.05 | 0.00 | 911.95 | true |
| 65 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.67 | 10.00 | 17.67 | 100352 | 0.00 | 0.00 | 77.30 | 0.00 | 10.04 | true |
| 66 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv2/Relu | Relu | 21.00 | 7.00 | 14.00 | 0 | 0.00 | 0.00 | 73.60 | 0.00 | 0.00 | true |
| 67 | resnet_v1_152/block2/unit_3/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 140.67 | 124.00 | 16.67 | 118358016 | 0.00 | 0.00 | 23.76 | 0.00 | 954.50 | true |
| 68 | resnet_v1_152/block2/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 59.00 | 43.33 | 15.67 | 401408 | 0.00 | 0.00 | 87.10 | 0.00 | 9.26 | true |
| 69 | resnet_v1_152/block2/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 32.67 | 20.67 | 12.00 | 401408 | 0.00 | 0.00 | 86.90 | 0.00 | 19.42 | true |
| 70 | resnet_v1_152/block2/unit_3/bottleneck_v1/Relu | Relu | 25.33 | 15.33 | 10.00 | 0 | 0.00 | 0.00 | 86.10 | 0.00 | 0.00 | true |
| 71 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 173.33 | 220.67 | -47.33 | 104957952 | 0.00 | 0.00 | 20.84 | 0.00 | 475.64 | true |
| 72 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.67 | 10.00 | 18.67 | 100352 | 0.00 | 0.00 | 77.80 | 0.00 | 10.04 | true |
| 73 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv1/Relu | Relu | 21.00 | 7.67 | 13.33 | 0 | 0.00 | 0.00 | 69.80 | 0.00 | 0.00 | true |
| 74 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 189.67 | 154.67 | 35.00 | 141656064 | 0.00 | 0.00 | 31.04 | 0.00 | 915.88 | true |
| 75 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 10.00 | 17.00 | 100352 | 0.00 | 0.00 | 77.90 | 0.00 | 10.04 | true |
| 76 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv2/Relu | Relu | 22.00 | 7.00 | 15.00 | 0 | 0.00 | 0.00 | 73.10 | 0.00 | 0.00 | true |
| 77 | resnet_v1_152/block2/unit_4/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 138.00 | 123.33 | 14.67 | 118358016 | 0.00 | 0.00 | 23.95 | 0.00 | 959.66 | true |
| 78 | resnet_v1_152/block2/unit_4/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 58.00 | 44.00 | 14.00 | 401408 | 0.00 | 0.00 | 86.70 | 0.00 | 9.12 | true |
| 79 | resnet_v1_152/block2/unit_4/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 32.00 | 20.33 | 11.67 | 401408 | 0.00 | 0.00 | 90.20 | 0.00 | 19.74 | true |
| 80 | resnet_v1_152/block2/unit_4/bottleneck_v1/Relu | Relu | 25.00 | 15.00 | 10.00 | 0 | 0.00 | 0.00 | 86.00 | 0.00 | 0.00 | true |
| 81 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 176.00 | 220.00 | -44.00 | 104957952 | 0.00 | 0.00 | 20.85 | 0.00 | 477.08 | true |
| 82 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.00 | 10.00 | 18.00 | 100352 | 0.00 | 0.00 | 77.50 | 0.00 | 10.04 | true |
| 83 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv1/Relu | Relu | 21.00 | 8.00 | 13.00 | 0 | 0.00 | 0.00 | 69.10 | 0.00 | 0.00 | true |
| 84 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 188.00 | 155.67 | 32.33 | 141656064 | 0.00 | 0.00 | 31.40 | 0.00 | 909.99 | true |
| 85 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 10.00 | 17.00 | 100352 | 0.00 | 0.00 | 77.90 | 0.00 | 10.04 | true |
| 86 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv2/Relu | Relu | 21.67 | 7.00 | 14.67 | 0 | 0.00 | 0.00 | 73.70 | 0.00 | 0.00 | true |
| 87 | resnet_v1_152/block2/unit_5/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 142.00 | 123.33 | 18.67 | 118358016 | 0.00 | 0.00 | 23.87 | 0.00 | 959.66 | true |
| 88 | resnet_v1_152/block2/unit_5/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 58.67 | 43.33 | 15.33 | 401408 | 0.00 | 0.00 | 87.90 | 0.00 | 9.26 | true |
| 89 | resnet_v1_152/block2/unit_5/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 33.33 | 21.00 | 12.33 | 401408 | 0.00 | 0.00 | 88.40 | 0.00 | 19.11 | true |
| 90 | resnet_v1_152/block2/unit_5/bottleneck_v1/Relu | Relu | 25.00 | 15.00 | 10.00 | 0 | 0.00 | 0.00 | 86.20 | 0.00 | 0.00 | true |
| 91 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 174.00 | 220.33 | -46.33 | 104957952 | 0.00 | 0.00 | 20.84 | 0.00 | 476.36 | true |
| 92 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.33 | 10.00 | 18.33 | 100352 | 0.00 | 0.00 | 77.40 | 0.00 | 10.04 | true |
| 93 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv1/Relu | Relu | 21.33 | 8.00 | 13.33 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
| 94 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 188.67 | 156.00 | 32.67 | 141656064 | 0.00 | 0.00 | 31.22 | 0.00 | 908.05 | true |
| 95 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 10.00 | 17.33 | 100352 | 0.00 | 0.00 | 76.90 | 0.00 | 10.04 | true |
| 96 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv2/Relu | Relu | 22.00 | 7.00 | 15.00 | 0 | 0.00 | 0.00 | 73.20 | 0.00 | 0.00 | true |
| 97 | resnet_v1_152/block2/unit_6/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 139.67 | 123.00 | 16.67 | 118358016 | 0.00 | 0.00 | 23.91 | 0.00 | 962.26 | true |
| 98 | resnet_v1_152/block2/unit_6/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 57.33 | 43.33 | 14.00 | 401408 | 0.00 | 0.00 | 87.50 | 0.00 | 9.26 | true |
| 99 | resnet_v1_152/block2/unit_6/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 32.00 | 20.67 | 11.33 | 401408 | 0.00 | 0.00 | 89.10 | 0.00 | 19.42 | true |
| 100 | resnet_v1_152/block2/unit_6/bottleneck_v1/Relu | Relu | 25.33 | 15.00 | 10.33 | 0 | 0.00 | 0.00 | 86.30 | 0.00 | 0.00 | true |
| 101 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 173.00 | 220.67 | -47.67 | 104957952 | 0.00 | 0.00 | 20.85 | 0.00 | 475.64 | true |
| 102 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.00 | 10.00 | 18.00 | 100352 | 0.00 | 0.00 | 77.50 | 0.00 | 10.04 | true |
| 103 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv1/Relu | Relu | 22.67 | 8.00 | 14.67 | 0 | 0.00 | 0.00 | 69.10 | 0.00 | 0.00 | true |
| 104 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 189.00 | 155.67 | 33.33 | 141656064 | 0.00 | 0.00 | 30.97 | 0.00 | 909.99 | true |
| 105 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 30.00 | 10.00 | 20.00 | 100352 | 0.00 | 0.00 | 77.70 | 0.00 | 10.04 | true |
| 106 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv2/Relu | Relu | 22.33 | 7.00 | 15.33 | 0 | 0.00 | 0.00 | 73.20 | 0.00 | 0.00 | true |
| 107 | resnet_v1_152/block2/unit_7/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 139.67 | 123.67 | 16.00 | 118358016 | 0.00 | 0.00 | 23.90 | 0.00 | 957.07 | true |
| 108 | resnet_v1_152/block2/unit_7/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 58.00 | 43.67 | 14.33 | 401408 | 0.00 | 0.00 | 88.00 | 0.00 | 9.19 | true |
| 109 | resnet_v1_152/block2/unit_7/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 31.33 | 21.00 | 10.33 | 401408 | 0.00 | 0.00 | 88.40 | 0.00 | 19.11 | true |
| 110 | resnet_v1_152/block2/unit_7/bottleneck_v1/Relu | Relu | 26.33 | 15.00 | 11.33 | 0 | 0.00 | 0.00 | 86.00 | 0.00 | 0.00 | true |
| 111 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 174.67 | 220.67 | -46.00 | 104957952 | 0.00 | 0.00 | 20.74 | 0.00 | 475.64 | true |
| 112 | resnet_v1_152/block2/unit_8/bottleneck_v1/shortcut/MaxPool | MaxPool | 50.00 | 22.00 | 28.00 | 100352 | 0.00 | 0.00 | 56.00 | 0.00 | 4.56 | true |
| 113 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.67 | 11.00 | 17.67 | 100352 | 0.00 | 0.00 | 77.20 | 0.00 | 9.12 | true |
| 114 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv1/Relu | Relu | 22.67 | 7.00 | 15.67 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
| 115 | resnet_v1_152/block2/unit_8/bottleneck_v1/Pad | Pad | 42.00 | 24.00 | 18.00 | 0 | 0.00 | 0.00 | 64.10 | 0.00 | 0.00 | true |
| 116 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 309.67 | 368.00 | -58.33 | 66085376 | 0.00 | 0.00 | 11.29 | 0.00 | 179.58 | true |
| 117 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 28.33 | 8.00 | 20.33 | 25088 | 0.00 | 0.00 | 64.40 | 0.00 | 3.14 | true |
| 118 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv2/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 68.10 | 0.00 | 0.00 | true |
| 119 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 129.67 | 93.00 | 36.67 | 33816576 | 0.00 | 0.00 | 17.24 | 0.00 | 363.62 | true |
| 120 | resnet_v1_152/block2/unit_8/bottleneck_v1/conv3/BatchNorm/batchnorm/add_1 | Add | 26.67 | 9.00 | 17.67 | 100352 | 0.00 | 0.00 | 73.60 | 0.00 | 11.15 | true |
| 121 | resnet_v1_152/block2/unit_8/bottleneck_v1/add | Add | 27.00 | 10.00 | 17.00 | 100352 | 0.00 | 0.00 | 69.00 | 0.00 | 10.04 | true |
| 122 | resnet_v1_152/block2/unit_8/bottleneck_v1/Relu | Relu | 23.33 | 7.00 | 16.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 123 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 166.00 | 188.67 | -22.67 | 67239936 | 0.00 | 0.00 | 16.18 | 0.00 | 356.39 | true |
| 124 | resnet_v1_152/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/batchnorm/mul_1 | Conv2D | 222.67 | 257.33 | -34.67 | 268959744 | 0.00 | 0.00 | 22.66 | 0.00 | 1045.18 | true |
| 125 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 9.00 | 17.33 | 50176 | 0.00 | 0.00 | 62.50 | 0.00 | 5.58 | true |
| 126 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 68.50 | 0.00 | 0.00 | true |
| 127 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 315.33 | 310.00 | 5.33 | 143884288 | 0.00 | 0.00 | 35.41 | 0.00 | 464.14 | true |
| 128 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 67.40 | 0.00 | 6.27 | true |
| 129 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.33 | 14.00 | 0 | 0.00 | 0.00 | 78.70 | 0.00 | 0.00 | true |
| 130 | resnet_v1_152/block3/unit_1/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 151.00 | 4.67 | 134742016 | 0.00 | 0.00 | 21.02 | 0.00 | 892.33 | true |
| 131 | resnet_v1_152/block3/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 36.33 | 17.67 | 18.67 | 200704 | 0.00 | 0.00 | 74.00 | 0.00 | 11.36 | true |
| 132 | resnet_v1_152/block3/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.67 | 13.00 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 13.68 | true |
| 133 | resnet_v1_152/block3/unit_1/bottleneck_v1/Relu | Relu | 21.67 | 10.00 | 11.67 | 0 | 0.00 | 0.00 | 71.70 | 0.00 | 0.00 | true |
| 134 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.33 | 362.00 | -96.67 | 134348800 | 0.00 | 0.00 | 16.56 | 0.00 | 371.13 | true |
| 135 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.20 | 0.00 | 6.27 | true |
| 136 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv1/Relu | Relu | 23.33 | 6.00 | 17.33 | 0 | 0.00 | 0.00 | 67.20 | 0.00 | 0.00 | true |
| 137 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 310.67 | 308.33 | 2.33 | 143884288 | 0.00 | 0.00 | 35.30 | 0.00 | 466.65 | true |
| 138 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 139 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.33 | 14.00 | 0 | 0.00 | 0.00 | 78.90 | 0.00 | 0.00 | true |
| 140 | resnet_v1_152/block3/unit_2/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.33 | 151.00 | 4.33 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 892.33 | true |
| 141 | resnet_v1_152/block3/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 18.00 | 17.67 | 200704 | 0.00 | 0.00 | 75.40 | 0.00 | 11.15 | true |
| 142 | resnet_v1_152/block3/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 13.67 | 13.33 | 200704 | 0.00 | 0.00 | 84.60 | 0.00 | 14.69 | true |
| 143 | resnet_v1_152/block3/unit_2/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 71.70 | 0.00 | 0.00 | true |
| 144 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.00 | 362.00 | -96.00 | 134348800 | 0.00 | 0.00 | 16.56 | 0.00 | 371.13 | true |
| 145 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 70.20 | 0.00 | 6.27 | true |
| 146 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 147 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.67 | 308.67 | -3.00 | 143884288 | 0.00 | 0.00 | 35.29 | 0.00 | 466.15 | true |
| 148 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.67 | 8.00 | 19.67 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 149 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.33 | 14.33 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 150 | resnet_v1_152/block3/unit_3/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.00 | 151.33 | 3.67 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 890.37 | true |
| 151 | resnet_v1_152/block3/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.33 | 18.33 | 200704 | 0.00 | 0.00 | 74.30 | 0.00 | 11.58 | true |
| 152 | resnet_v1_152/block3/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 153 | resnet_v1_152/block3/unit_3/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 72.10 | 0.00 | 0.00 | true |
| 154 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.67 | 361.67 | -95.00 | 134348800 | 0.00 | 0.00 | 16.60 | 0.00 | 371.47 | true |
| 155 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 156 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.00 | 0.00 | 0.00 | true |
| 157 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 309.67 | 308.67 | 1.00 | 143884288 | 0.00 | 0.00 | 35.20 | 0.00 | 466.15 | true |
| 158 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 159 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv2/Relu | Relu | 20.00 | 6.00 | 14.00 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 160 | resnet_v1_152/block3/unit_4/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 156.00 | 151.67 | 4.33 | 134742016 | 0.00 | 0.00 | 21.09 | 0.00 | 888.41 | true |
| 161 | resnet_v1_152/block3/unit_4/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.00 | 18.00 | 17.00 | 200704 | 0.00 | 0.00 | 75.90 | 0.00 | 11.15 | true |
| 162 | resnet_v1_152/block3/unit_4/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.00 | 14.00 | 14.00 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 14.34 | true |
| 163 | resnet_v1_152/block3/unit_4/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 164 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.33 | 362.33 | -96.00 | 134348800 | 0.00 | 0.00 | 16.71 | 0.00 | 370.79 | true |
| 165 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.10 | 0.00 | 6.27 | true |
| 166 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 167 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 307.33 | 307.67 | -0.33 | 143884288 | 0.00 | 0.00 | 35.28 | 0.00 | 467.66 | true |
| 168 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 169 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.00 | 14.67 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 170 | resnet_v1_152/block3/unit_5/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.33 | 150.33 | 5.00 | 134742016 | 0.00 | 0.00 | 20.95 | 0.00 | 896.29 | true |
| 171 | resnet_v1_152/block3/unit_5/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 18.00 | 17.33 | 200704 | 0.00 | 0.00 | 75.00 | 0.00 | 11.15 | true |
| 172 | resnet_v1_152/block3/unit_5/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 14.34 | true |
| 173 | resnet_v1_152/block3/unit_5/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 174 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.67 | 362.00 | -95.33 | 134348800 | 0.00 | 0.00 | 16.63 | 0.00 | 371.13 | true |
| 175 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 176 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.60 | 0.00 | 0.00 | true |
| 177 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.67 | 309.00 | -4.33 | 143884288 | 0.00 | 0.00 | 35.30 | 0.00 | 465.64 | true |
| 178 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 179 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv2/Relu | Relu | 21.33 | 6.67 | 14.67 | 0 | 0.00 | 0.00 | 78.70 | 0.00 | 0.00 | true |
| 180 | resnet_v1_152/block3/unit_6/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 151.00 | 4.67 | 134742016 | 0.00 | 0.00 | 21.10 | 0.00 | 892.33 | true |
| 181 | resnet_v1_152/block3/unit_6/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 34.67 | 17.67 | 17.00 | 200704 | 0.00 | 0.00 | 75.50 | 0.00 | 11.36 | true |
| 182 | resnet_v1_152/block3/unit_6/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.33 | 13.33 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.00 | true |
| 183 | resnet_v1_152/block3/unit_6/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 72.00 | 0.00 | 0.00 | true |
| 184 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.33 | 362.67 | -95.33 | 134348800 | 0.00 | 0.00 | 16.62 | 0.00 | 370.45 | true |
| 185 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 69.50 | 0.00 | 6.27 | true |
| 186 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.33 | 15.33 | 0 | 0.00 | 0.00 | 67.10 | 0.00 | 0.00 | true |
| 187 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.67 | 307.67 | -2.00 | 143884288 | 0.00 | 0.00 | 35.34 | 0.00 | 467.66 | true |
| 188 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 189 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.67 | 13.67 | 0 | 0.00 | 0.00 | 78.60 | 0.00 | 0.00 | true |
| 190 | resnet_v1_152/block3/unit_7/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 150.67 | 5.00 | 134742016 | 0.00 | 0.00 | 21.06 | 0.00 | 894.31 | true |
| 191 | resnet_v1_152/block3/unit_7/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.00 | 18.00 | 17.00 | 200704 | 0.00 | 0.00 | 75.60 | 0.00 | 11.15 | true |
| 192 | resnet_v1_152/block3/unit_7/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.60 | 0.00 | 14.34 | true |
| 193 | resnet_v1_152/block3/unit_7/bottleneck_v1/Relu | Relu | 24.33 | 10.00 | 14.33 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 194 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.33 | 362.33 | -95.00 | 134348800 | 0.00 | 0.00 | 16.64 | 0.00 | 370.79 | true |
| 195 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 196 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 197 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.67 | 308.67 | -3.00 | 143884288 | 0.00 | 0.00 | 35.31 | 0.00 | 466.15 | true |
| 198 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.00 | 19.33 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 199 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.00 | 14.67 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 200 | resnet_v1_152/block3/unit_8/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 161.00 | 151.00 | 10.00 | 134742016 | 0.00 | 0.00 | 21.02 | 0.00 | 892.33 | true |
| 201 | resnet_v1_152/block3/unit_8/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 37.00 | 17.67 | 19.33 | 200704 | 0.00 | 0.00 | 75.50 | 0.00 | 11.36 | true |
| 202 | resnet_v1_152/block3/unit_8/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.00 | 14.00 | 14.00 | 200704 | 0.00 | 0.00 | 83.80 | 0.00 | 14.34 | true |
| 203 | resnet_v1_152/block3/unit_8/bottleneck_v1/Relu | Relu | 23.67 | 10.00 | 13.67 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 204 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 268.00 | 362.00 | -94.00 | 134348800 | 0.00 | 0.00 | 16.63 | 0.00 | 371.13 | true |
| 205 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 206 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 207 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 307.33 | 310.67 | -3.33 | 143884288 | 0.00 | 0.00 | 35.34 | 0.00 | 463.15 | true |
| 208 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 209 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv2/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 210 | resnet_v1_152/block3/unit_9/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 152.67 | 151.00 | 1.67 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 892.33 | true |
| 211 | resnet_v1_152/block3/unit_9/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.00 | 17.00 | 18.00 | 200704 | 0.00 | 0.00 | 74.40 | 0.00 | 11.81 | true |
| 212 | resnet_v1_152/block3/unit_9/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.33 | 14.00 | 14.33 | 200704 | 0.00 | 0.00 | 84.20 | 0.00 | 14.34 | true |
| 213 | resnet_v1_152/block3/unit_9/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 72.00 | 0.00 | 0.00 | true |
| 214 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.00 | 362.00 | -95.00 | 134348800 | 0.00 | 0.00 | 16.56 | 0.00 | 371.13 | true |
| 215 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 216 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 217 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 308.67 | 306.33 | 2.33 | 143884288 | 0.00 | 0.00 | 35.21 | 0.00 | 469.70 | true |
| 218 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 72.90 | 0.00 | 6.27 | true |
| 219 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv2/Relu | Relu | 23.33 | 6.33 | 17.00 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 220 | resnet_v1_152/block3/unit_10/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 151.33 | 4.33 | 134742016 | 0.00 | 0.00 | 21.16 | 0.00 | 890.37 | true |
| 221 | resnet_v1_152/block3/unit_10/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.33 | 18.33 | 200704 | 0.00 | 0.00 | 74.60 | 0.00 | 11.58 | true |
| 222 | resnet_v1_152/block3/unit_10/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.00 | 13.67 | 200704 | 0.00 | 0.00 | 83.00 | 0.00 | 14.34 | true |
| 223 | resnet_v1_152/block3/unit_10/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 224 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.00 | 361.67 | -96.67 | 134348800 | 0.00 | 0.00 | 16.53 | 0.00 | 371.47 | true |
| 225 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 226 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv1/Relu | Relu | 22.00 | 6.00 | 16.00 | 0 | 0.00 | 0.00 | 67.50 | 0.00 | 0.00 | true |
| 227 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.33 | 308.67 | -3.33 | 143884288 | 0.00 | 0.00 | 35.35 | 0.00 | 466.15 | true |
| 228 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.00 | 19.33 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 229 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.33 | 14.67 | 0 | 0.00 | 0.00 | 79.10 | 0.00 | 0.00 | true |
| 230 | resnet_v1_152/block3/unit_11/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.33 | 150.67 | 4.67 | 134742016 | 0.00 | 0.00 | 20.98 | 0.00 | 894.30 | true |
| 231 | resnet_v1_152/block3/unit_11/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 18.00 | 17.67 | 200704 | 0.00 | 0.00 | 74.20 | 0.00 | 11.15 | true |
| 232 | resnet_v1_152/block3/unit_11/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 233 | resnet_v1_152/block3/unit_11/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 234 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.33 | 361.33 | -96.00 | 134348800 | 0.00 | 0.00 | 16.57 | 0.00 | 371.81 | true |
| 235 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 69.80 | 0.00 | 6.27 | true |
| 236 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 237 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 310.33 | 308.00 | 2.33 | 143884288 | 0.00 | 0.00 | 35.33 | 0.00 | 467.16 | true |
| 238 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 28.33 | 8.00 | 20.33 | 50176 | 0.00 | 0.00 | 72.80 | 0.00 | 6.27 | true |
| 239 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv2/Relu | Relu | 21.67 | 6.33 | 15.33 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 240 | resnet_v1_152/block3/unit_12/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.33 | 150.33 | 4.00 | 134742016 | 0.00 | 0.00 | 20.98 | 0.00 | 896.29 | true |
| 241 | resnet_v1_152/block3/unit_12/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.67 | 17.67 | 200704 | 0.00 | 0.00 | 75.30 | 0.00 | 11.36 | true |
| 242 | resnet_v1_152/block3/unit_12/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.33 | 12.67 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.00 | true |
| 243 | resnet_v1_152/block3/unit_12/bottleneck_v1/Relu | Relu | 23.67 | 10.00 | 13.67 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 244 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 268.67 | 361.67 | -93.00 | 134348800 | 0.00 | 0.00 | 16.53 | 0.00 | 371.47 | true |
| 245 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 246 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.50 | 0.00 | 0.00 | true |
| 247 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.33 | 307.67 | -3.33 | 143884288 | 0.00 | 0.00 | 35.17 | 0.00 | 467.66 | true |
| 248 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 72.90 | 0.00 | 6.27 | true |
| 249 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.00 | 14.33 | 0 | 0.00 | 0.00 | 78.90 | 0.00 | 0.00 | true |
| 250 | resnet_v1_152/block3/unit_13/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 156.33 | 151.33 | 5.00 | 134742016 | 0.00 | 0.00 | 20.88 | 0.00 | 890.37 | true |
| 251 | resnet_v1_152/block3/unit_13/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.67 | 18.00 | 200704 | 0.00 | 0.00 | 74.70 | 0.00 | 11.36 | true |
| 252 | resnet_v1_152/block3/unit_13/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.00 | 13.67 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 253 | resnet_v1_152/block3/unit_13/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 72.20 | 0.00 | 0.00 | true |
| 254 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.67 | 361.33 | -95.67 | 134348800 | 0.00 | 0.00 | 16.58 | 0.00 | 371.81 | true |
| 255 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 256 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 67.20 | 0.00 | 0.00 | true |
| 257 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 309.67 | 309.33 | 0.33 | 143884288 | 0.00 | 0.00 | 35.30 | 0.00 | 465.14 | true |
| 258 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 259 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.67 | 13.67 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 260 | resnet_v1_152/block3/unit_14/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 152.33 | 151.67 | 0.67 | 134742016 | 0.00 | 0.00 | 21.09 | 0.00 | 888.41 | true |
| 261 | resnet_v1_152/block3/unit_14/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 36.33 | 18.00 | 18.33 | 200704 | 0.00 | 0.00 | 76.10 | 0.00 | 11.15 | true |
| 262 | resnet_v1_152/block3/unit_14/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.00 | 14.00 | 14.00 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.34 | true |
| 263 | resnet_v1_152/block3/unit_14/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 264 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.00 | 361.33 | -96.33 | 134348800 | 0.00 | 0.00 | 16.54 | 0.00 | 371.81 | true |
| 265 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 266 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.50 | 0.00 | 0.00 | true |
| 267 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 308.33 | 307.00 | 1.33 | 143884288 | 0.00 | 0.00 | 35.24 | 0.00 | 468.68 | true |
| 268 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 269 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv2/Relu | Relu | 28.67 | 6.00 | 22.67 | 0 | 0.00 | 0.00 | 78.90 | 0.00 | 0.00 | true |
| 270 | resnet_v1_152/block3/unit_15/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 157.00 | 151.67 | 5.33 | 134742016 | 0.00 | 0.00 | 21.06 | 0.00 | 888.41 | true |
| 271 | resnet_v1_152/block3/unit_15/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 36.00 | 17.33 | 18.67 | 200704 | 0.00 | 0.00 | 73.30 | 0.00 | 11.58 | true |
| 272 | resnet_v1_152/block3/unit_15/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 14.34 | true |
| 273 | resnet_v1_152/block3/unit_15/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 71.70 | 0.00 | 0.00 | true |
| 274 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.33 | 362.00 | -96.67 | 134348800 | 0.00 | 0.00 | 16.63 | 0.00 | 371.13 | true |
| 275 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 276 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv1/Relu | Relu | 23.00 | 6.33 | 16.67 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 277 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 306.67 | 310.00 | -3.33 | 143884288 | 0.00 | 0.00 | 35.39 | 0.00 | 464.14 | true |
| 278 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 72.70 | 0.00 | 6.27 | true |
| 279 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv2/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 280 | resnet_v1_152/block3/unit_16/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 156.00 | 151.00 | 5.00 | 134742016 | 0.00 | 0.00 | 20.94 | 0.00 | 892.33 | true |
| 281 | resnet_v1_152/block3/unit_16/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.00 | 18.67 | 200704 | 0.00 | 0.00 | 75.20 | 0.00 | 11.81 | true |
| 282 | resnet_v1_152/block3/unit_16/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 14.34 | true |
| 283 | resnet_v1_152/block3/unit_16/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 284 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 269.67 | 361.33 | -91.67 | 134348800 | 0.00 | 0.00 | 16.54 | 0.00 | 371.81 | true |
| 285 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 286 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 287 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 307.00 | 306.00 | 1.00 | 143884288 | 0.00 | 0.00 | 35.25 | 0.00 | 470.21 | true |
| 288 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 28.00 | 8.00 | 20.00 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 289 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.33 | 14.67 | 0 | 0.00 | 0.00 | 78.70 | 0.00 | 0.00 | true |
| 290 | resnet_v1_152/block3/unit_17/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.33 | 151.67 | 2.67 | 134742016 | 0.00 | 0.00 | 21.06 | 0.00 | 888.41 | true |
| 291 | resnet_v1_152/block3/unit_17/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.67 | 17.67 | 200704 | 0.00 | 0.00 | 73.70 | 0.00 | 11.36 | true |
| 292 | resnet_v1_152/block3/unit_17/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 83.10 | 0.00 | 14.34 | true |
| 293 | resnet_v1_152/block3/unit_17/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.70 | 0.00 | 0.00 | true |
| 294 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.33 | 361.00 | -95.67 | 134348800 | 0.00 | 0.00 | 16.53 | 0.00 | 372.16 | true |
| 295 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 296 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv1/Relu | Relu | 22.00 | 6.00 | 16.00 | 0 | 0.00 | 0.00 | 67.60 | 0.00 | 0.00 | true |
| 297 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 310.00 | 308.33 | 1.67 | 143884288 | 0.00 | 0.00 | 35.29 | 0.00 | 466.65 | true |
| 298 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 72.80 | 0.00 | 6.27 | true |
| 299 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv2/Relu | Relu | 21.67 | 7.00 | 14.67 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 300 | resnet_v1_152/block3/unit_18/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.67 | 150.33 | 4.33 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 896.29 | true |
| 301 | resnet_v1_152/block3/unit_18/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.33 | 18.00 | 200704 | 0.00 | 0.00 | 75.80 | 0.00 | 11.58 | true |
| 302 | resnet_v1_152/block3/unit_18/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 29.33 | 14.00 | 15.33 | 200704 | 0.00 | 0.00 | 84.80 | 0.00 | 14.34 | true |
| 303 | resnet_v1_152/block3/unit_18/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 304 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.00 | 361.67 | -94.67 | 134348800 | 0.00 | 0.00 | 16.55 | 0.00 | 371.47 | true |
| 305 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.00 | 19.33 | 50176 | 0.00 | 0.00 | 69.90 | 0.00 | 6.27 | true |
| 306 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 307 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 309.67 | 307.33 | 2.33 | 143884288 | 0.00 | 0.00 | 35.25 | 0.00 | 468.17 | true |
| 308 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 309 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv2/Relu | Relu | 21.00 | 7.00 | 14.00 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 310 | resnet_v1_152/block3/unit_19/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 156.00 | 150.67 | 5.33 | 134742016 | 0.00 | 0.00 | 21.10 | 0.00 | 894.30 | true |
| 311 | resnet_v1_152/block3/unit_19/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 18.00 | 17.67 | 200704 | 0.00 | 0.00 | 75.40 | 0.00 | 11.15 | true |
| 312 | resnet_v1_152/block3/unit_19/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.00 | 13.67 | 200704 | 0.00 | 0.00 | 84.70 | 0.00 | 14.34 | true |
| 313 | resnet_v1_152/block3/unit_19/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 72.10 | 0.00 | 0.00 | true |
| 314 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.00 | 362.00 | -95.00 | 134348800 | 0.00 | 0.00 | 16.60 | 0.00 | 371.13 | true |
| 315 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 70.40 | 0.00 | 6.27 | true |
| 316 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 317 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 306.33 | 307.67 | -1.33 | 143884288 | 0.00 | 0.00 | 35.20 | 0.00 | 467.66 | true |
| 318 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 319 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.67 | 14.33 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 320 | resnet_v1_152/block3/unit_20/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 150.67 | 5.00 | 134742016 | 0.00 | 0.00 | 20.96 | 0.00 | 894.30 | true |
| 321 | resnet_v1_152/block3/unit_20/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 36.00 | 18.00 | 18.00 | 200704 | 0.00 | 0.00 | 75.10 | 0.00 | 11.15 | true |
| 322 | resnet_v1_152/block3/unit_20/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 84.30 | 0.00 | 14.34 | true |
| 323 | resnet_v1_152/block3/unit_20/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 324 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.33 | 361.00 | -96.67 | 134348800 | 0.00 | 0.00 | 16.58 | 0.00 | 372.16 | true |
| 325 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 326 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 327 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.33 | 308.33 | -4.00 | 143884288 | 0.00 | 0.00 | 35.22 | 0.00 | 466.65 | true |
| 328 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.00 | 19.33 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 329 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.33 | 14.33 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 330 | resnet_v1_152/block3/unit_21/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.33 | 150.67 | 4.67 | 134742016 | 0.00 | 0.00 | 21.02 | 0.00 | 894.31 | true |
| 331 | resnet_v1_152/block3/unit_21/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 18.00 | 17.67 | 200704 | 0.00 | 0.00 | 75.10 | 0.00 | 11.15 | true |
| 332 | resnet_v1_152/block3/unit_21/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 333 | resnet_v1_152/block3/unit_21/bottleneck_v1/Relu | Relu | 24.67 | 10.00 | 14.67 | 0 | 0.00 | 0.00 | 72.00 | 0.00 | 0.00 | true |
| 334 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.33 | 363.00 | -96.67 | 134348800 | 0.00 | 0.00 | 16.70 | 0.00 | 370.11 | true |
| 335 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.10 | 0.00 | 6.27 | true |
| 336 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.60 | 0.00 | 0.00 | true |
| 337 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.33 | 307.00 | -2.67 | 143884288 | 0.00 | 0.00 | 35.18 | 0.00 | 468.68 | true |
| 338 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 339 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 78.40 | 0.00 | 0.00 | true |
| 340 | resnet_v1_152/block3/unit_22/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.00 | 151.00 | 4.00 | 134742016 | 0.00 | 0.00 | 20.92 | 0.00 | 892.33 | true |
| 341 | resnet_v1_152/block3/unit_22/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.33 | 18.00 | 200704 | 0.00 | 0.00 | 74.80 | 0.00 | 11.58 | true |
| 342 | resnet_v1_152/block3/unit_22/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 343 | resnet_v1_152/block3/unit_22/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 344 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.67 | 362.33 | -95.67 | 134348800 | 0.00 | 0.00 | 16.67 | 0.00 | 370.79 | true |
| 345 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.67 | 8.00 | 18.67 | 50176 | 0.00 | 0.00 | 70.10 | 0.00 | 6.27 | true |
| 346 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.33 | 14.67 | 0 | 0.00 | 0.00 | 67.60 | 0.00 | 0.00 | true |
| 347 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 309.67 | 308.00 | 1.67 | 143884288 | 0.00 | 0.00 | 35.37 | 0.00 | 467.16 | true |
| 348 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 73.30 | 0.00 | 6.27 | true |
| 349 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 78.90 | 0.00 | 0.00 | true |
| 350 | resnet_v1_152/block3/unit_23/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.00 | 151.00 | 3.00 | 134742016 | 0.00 | 0.00 | 20.94 | 0.00 | 892.33 | true |
| 351 | resnet_v1_152/block3/unit_23/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 18.00 | 17.67 | 200704 | 0.00 | 0.00 | 76.10 | 0.00 | 11.15 | true |
| 352 | resnet_v1_152/block3/unit_23/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.67 | 14.00 | 13.67 | 200704 | 0.00 | 0.00 | 84.20 | 0.00 | 14.34 | true |
| 353 | resnet_v1_152/block3/unit_23/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 354 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.00 | 362.67 | -95.67 | 134348800 | 0.00 | 0.00 | 16.62 | 0.00 | 370.45 | true |
| 355 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 356 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 357 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 307.00 | 307.00 | 0.00 | 143884288 | 0.00 | 0.00 | 35.28 | 0.00 | 468.68 | true |
| 358 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.00 | 8.00 | 17.00 | 50176 | 0.00 | 0.00 | 72.80 | 0.00 | 6.27 | true |
| 359 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv2/Relu | Relu | 23.67 | 6.33 | 17.33 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 360 | resnet_v1_152/block3/unit_24/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.67 | 151.67 | 4.00 | 134742016 | 0.00 | 0.00 | 21.09 | 0.00 | 888.41 | true |
| 361 | resnet_v1_152/block3/unit_24/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 34.67 | 17.67 | 17.00 | 200704 | 0.00 | 0.00 | 75.40 | 0.00 | 11.36 | true |
| 362 | resnet_v1_152/block3/unit_24/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.67 | 14.00 | 12.67 | 200704 | 0.00 | 0.00 | 84.20 | 0.00 | 14.34 | true |
| 363 | resnet_v1_152/block3/unit_24/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 72.00 | 0.00 | 0.00 | true |
| 364 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.00 | 361.67 | -96.67 | 134348800 | 0.00 | 0.00 | 16.55 | 0.00 | 371.47 | true |
| 365 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 366 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.10 | 0.00 | 0.00 | true |
| 367 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.67 | 308.67 | -4.00 | 143884288 | 0.00 | 0.00 | 35.28 | 0.00 | 466.15 | true |
| 368 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.33 | 8.00 | 17.33 | 50176 | 0.00 | 0.00 | 73.30 | 0.00 | 6.27 | true |
| 369 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.33 | 14.33 | 0 | 0.00 | 0.00 | 79.10 | 0.00 | 0.00 | true |
| 370 | resnet_v1_152/block3/unit_25/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 159.00 | 151.00 | 8.00 | 134742016 | 0.00 | 0.00 | 21.10 | 0.00 | 892.33 | true |
| 371 | resnet_v1_152/block3/unit_25/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.00 | 18.00 | 17.00 | 200704 | 0.00 | 0.00 | 74.40 | 0.00 | 11.15 | true |
| 372 | resnet_v1_152/block3/unit_25/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 83.00 | 0.00 | 14.34 | true |
| 373 | resnet_v1_152/block3/unit_25/bottleneck_v1/Relu | Relu | 21.33 | 10.00 | 11.33 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 374 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.00 | 361.67 | -97.67 | 134348800 | 0.00 | 0.00 | 16.64 | 0.00 | 371.47 | true |
| 375 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.20 | 0.00 | 6.27 | true |
| 376 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 377 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 303.33 | 308.33 | -5.00 | 143884288 | 0.00 | 0.00 | 35.32 | 0.00 | 466.65 | true |
| 378 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 28.00 | 8.00 | 20.00 | 50176 | 0.00 | 0.00 | 72.70 | 0.00 | 6.27 | true |
| 379 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.33 | 14.00 | 0 | 0.00 | 0.00 | 78.60 | 0.00 | 0.00 | true |
| 380 | resnet_v1_152/block3/unit_26/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 153.67 | 151.33 | 2.33 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 890.37 | true |
| 381 | resnet_v1_152/block3/unit_26/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.00 | 17.00 | 18.00 | 200704 | 0.00 | 0.00 | 74.60 | 0.00 | 11.81 | true |
| 382 | resnet_v1_152/block3/unit_26/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.33 | 14.00 | 12.33 | 200704 | 0.00 | 0.00 | 84.60 | 0.00 | 14.34 | true |
| 383 | resnet_v1_152/block3/unit_26/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 384 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.00 | 361.33 | -97.33 | 134348800 | 0.00 | 0.00 | 16.56 | 0.00 | 371.81 | true |
| 385 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 386 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 387 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.00 | 307.67 | -2.67 | 143884288 | 0.00 | 0.00 | 35.27 | 0.00 | 467.66 | true |
| 388 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 72.70 | 0.00 | 6.27 | true |
| 389 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv2/Relu | Relu | 20.00 | 6.00 | 14.00 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 390 | resnet_v1_152/block3/unit_27/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 158.33 | 151.00 | 7.33 | 134742016 | 0.00 | 0.00 | 21.04 | 0.00 | 892.33 | true |
| 391 | resnet_v1_152/block3/unit_27/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 18.00 | 17.33 | 200704 | 0.00 | 0.00 | 77.70 | 0.00 | 11.15 | true |
| 392 | resnet_v1_152/block3/unit_27/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.67 | 14.00 | 14.67 | 200704 | 0.00 | 0.00 | 84.60 | 0.00 | 14.34 | true |
| 393 | resnet_v1_152/block3/unit_27/bottleneck_v1/Relu | Relu | 23.00 | 10.00 | 13.00 | 0 | 0.00 | 0.00 | 72.00 | 0.00 | 0.00 | true |
| 394 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 268.33 | 362.67 | -94.33 | 134348800 | 0.00 | 0.00 | 16.62 | 0.00 | 370.45 | true |
| 395 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.20 | 0.00 | 6.27 | true |
| 396 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.33 | 14.67 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 397 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 307.33 | 308.00 | -0.67 | 143884288 | 0.00 | 0.00 | 35.19 | 0.00 | 467.16 | true |
| 398 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.33 | 8.00 | 17.33 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 399 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 400 | resnet_v1_152/block3/unit_28/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.67 | 150.67 | 4.00 | 134742016 | 0.00 | 0.00 | 20.96 | 0.00 | 894.30 | true |
| 401 | resnet_v1_152/block3/unit_28/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.33 | 18.00 | 200704 | 0.00 | 0.00 | 74.80 | 0.00 | 11.58 | true |
| 402 | resnet_v1_152/block3/unit_28/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 29.67 | 14.00 | 15.67 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 403 | resnet_v1_152/block3/unit_28/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 404 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 266.33 | 361.00 | -94.67 | 134348800 | 0.00 | 0.00 | 16.55 | 0.00 | 372.16 | true |
| 405 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 70.10 | 0.00 | 6.27 | true |
| 406 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.33 | 15.00 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 407 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.67 | 308.00 | -3.33 | 143884288 | 0.00 | 0.00 | 35.31 | 0.00 | 467.16 | true |
| 408 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 409 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv2/Relu | Relu | 21.67 | 6.67 | 15.00 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 410 | resnet_v1_152/block3/unit_29/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.33 | 151.67 | 2.67 | 134742016 | 0.00 | 0.00 | 21.09 | 0.00 | 888.41 | true |
| 411 | resnet_v1_152/block3/unit_29/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.33 | 18.00 | 200704 | 0.00 | 0.00 | 75.50 | 0.00 | 11.58 | true |
| 412 | resnet_v1_152/block3/unit_29/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.67 | 14.00 | 12.67 | 200704 | 0.00 | 0.00 | 84.90 | 0.00 | 14.34 | true |
| 413 | resnet_v1_152/block3/unit_29/bottleneck_v1/Relu | Relu | 21.33 | 10.00 | 11.33 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 414 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.67 | 361.00 | -93.33 | 134348800 | 0.00 | 0.00 | 16.54 | 0.00 | 372.16 | true |
| 415 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 416 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv1/Relu | Relu | 23.33 | 6.00 | 17.33 | 0 | 0.00 | 0.00 | 67.50 | 0.00 | 0.00 | true |
| 417 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 306.33 | 306.67 | -0.33 | 143884288 | 0.00 | 0.00 | 35.28 | 0.00 | 469.19 | true |
| 418 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 73.20 | 0.00 | 6.27 | true |
| 419 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv2/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 420 | resnet_v1_152/block3/unit_30/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 153.00 | 150.67 | 2.33 | 134742016 | 0.00 | 0.00 | 20.96 | 0.00 | 894.30 | true |
| 421 | resnet_v1_152/block3/unit_30/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.67 | 18.00 | 200704 | 0.00 | 0.00 | 76.20 | 0.00 | 11.36 | true |
| 422 | resnet_v1_152/block3/unit_30/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.33 | 14.33 | 12.00 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.00 | true |
| 423 | resnet_v1_152/block3/unit_30/bottleneck_v1/Relu | Relu | 22.33 | 10.00 | 12.33 | 0 | 0.00 | 0.00 | 71.70 | 0.00 | 0.00 | true |
| 424 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.67 | 361.33 | -96.67 | 134348800 | 0.00 | 0.00 | 16.54 | 0.00 | 371.81 | true |
| 425 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 70.20 | 0.00 | 6.27 | true |
| 426 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv1/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 67.20 | 0.00 | 0.00 | true |
| 427 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 305.00 | 307.67 | -2.67 | 143884288 | 0.00 | 0.00 | 35.27 | 0.00 | 467.66 | true |
| 428 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.00 | 8.00 | 19.00 | 50176 | 0.00 | 0.00 | 72.90 | 0.00 | 6.27 | true |
| 429 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 78.50 | 0.00 | 0.00 | true |
| 430 | resnet_v1_152/block3/unit_31/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.00 | 151.33 | 3.67 | 134742016 | 0.00 | 0.00 | 21.00 | 0.00 | 890.37 | true |
| 431 | resnet_v1_152/block3/unit_31/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 34.00 | 17.67 | 16.33 | 200704 | 0.00 | 0.00 | 75.00 | 0.00 | 11.36 | true |
| 432 | resnet_v1_152/block3/unit_31/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.67 | 14.00 | 12.67 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.34 | true |
| 433 | resnet_v1_152/block3/unit_31/bottleneck_v1/Relu | Relu | 23.33 | 10.00 | 13.33 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 434 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.67 | 361.00 | -93.33 | 134348800 | 0.00 | 0.00 | 16.55 | 0.00 | 372.16 | true |
| 435 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.10 | 0.00 | 6.27 | true |
| 436 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.70 | 0.00 | 0.00 | true |
| 437 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 311.67 | 308.33 | 3.33 | 143884288 | 0.00 | 0.00 | 35.29 | 0.00 | 466.65 | true |
| 438 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.00 | 8.00 | 17.00 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 439 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv2/Relu | Relu | 20.00 | 6.67 | 13.33 | 0 | 0.00 | 0.00 | 78.70 | 0.00 | 0.00 | true |
| 440 | resnet_v1_152/block3/unit_32/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 155.00 | 151.00 | 4.00 | 134742016 | 0.00 | 0.00 | 20.96 | 0.00 | 892.33 | true |
| 441 | resnet_v1_152/block3/unit_32/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 34.67 | 18.00 | 16.67 | 200704 | 0.00 | 0.00 | 75.50 | 0.00 | 11.15 | true |
| 442 | resnet_v1_152/block3/unit_32/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 28.67 | 14.00 | 14.67 | 200704 | 0.00 | 0.00 | 84.50 | 0.00 | 14.34 | true |
| 443 | resnet_v1_152/block3/unit_32/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 444 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 265.67 | 361.67 | -96.00 | 134348800 | 0.00 | 0.00 | 16.55 | 0.00 | 371.47 | true |
| 445 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 70.30 | 0.00 | 6.27 | true |
| 446 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv1/Relu | Relu | 21.67 | 6.00 | 15.67 | 0 | 0.00 | 0.00 | 67.10 | 0.00 | 0.00 | true |
| 447 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 308.67 | 309.00 | -0.33 | 143884288 | 0.00 | 0.00 | 35.24 | 0.00 | 465.64 | true |
| 448 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 449 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.00 | 14.67 | 0 | 0.00 | 0.00 | 79.00 | 0.00 | 0.00 | true |
| 450 | resnet_v1_152/block3/unit_33/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.33 | 150.33 | 4.00 | 134742016 | 0.00 | 0.00 | 21.06 | 0.00 | 896.29 | true |
| 451 | resnet_v1_152/block3/unit_33/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.67 | 17.00 | 18.67 | 200704 | 0.00 | 0.00 | 74.70 | 0.00 | 11.81 | true |
| 452 | resnet_v1_152/block3/unit_33/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.00 | 14.00 | 13.00 | 200704 | 0.00 | 0.00 | 83.20 | 0.00 | 14.34 | true |
| 453 | resnet_v1_152/block3/unit_33/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 71.90 | 0.00 | 0.00 | true |
| 454 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.67 | 361.33 | -96.67 | 134348800 | 0.00 | 0.00 | 16.57 | 0.00 | 371.81 | true |
| 455 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 456 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.40 | 0.00 | 0.00 | true |
| 457 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 306.67 | 308.00 | -1.33 | 143884288 | 0.00 | 0.00 | 35.35 | 0.00 | 467.16 | true |
| 458 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 26.00 | 8.00 | 18.00 | 50176 | 0.00 | 0.00 | 73.00 | 0.00 | 6.27 | true |
| 459 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv2/Relu | Relu | 20.67 | 6.33 | 14.33 | 0 | 0.00 | 0.00 | 79.20 | 0.00 | 0.00 | true |
| 460 | resnet_v1_152/block3/unit_34/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 154.67 | 150.67 | 4.00 | 134742016 | 0.00 | 0.00 | 20.93 | 0.00 | 894.30 | true |
| 461 | resnet_v1_152/block3/unit_34/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.00 | 18.33 | 200704 | 0.00 | 0.00 | 74.10 | 0.00 | 11.81 | true |
| 462 | resnet_v1_152/block3/unit_34/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 27.33 | 14.00 | 13.33 | 200704 | 0.00 | 0.00 | 84.40 | 0.00 | 14.34 | true |
| 463 | resnet_v1_152/block3/unit_34/bottleneck_v1/Relu | Relu | 22.00 | 10.00 | 12.00 | 0 | 0.00 | 0.00 | 72.10 | 0.00 | 0.00 | true |
| 464 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 264.00 | 361.67 | -97.67 | 134348800 | 0.00 | 0.00 | 16.53 | 0.00 | 371.47 | true |
| 465 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 25.33 | 8.00 | 17.33 | 50176 | 0.00 | 0.00 | 70.00 | 0.00 | 6.27 | true |
| 466 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 67.30 | 0.00 | 0.00 | true |
| 467 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 304.00 | 307.67 | -3.67 | 143884288 | 0.00 | 0.00 | 35.24 | 0.00 | 467.66 | true |
| 468 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 25.67 | 8.00 | 17.67 | 50176 | 0.00 | 0.00 | 73.10 | 0.00 | 6.27 | true |
| 469 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.00 | 14.33 | 0 | 0.00 | 0.00 | 78.80 | 0.00 | 0.00 | true |
| 470 | resnet_v1_152/block3/unit_35/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 153.33 | 151.00 | 2.33 | 134742016 | 0.00 | 0.00 | 20.94 | 0.00 | 892.33 | true |
| 471 | resnet_v1_152/block3/unit_35/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 35.33 | 17.67 | 17.67 | 200704 | 0.00 | 0.00 | 75.10 | 0.00 | 11.36 | true |
| 472 | resnet_v1_152/block3/unit_35/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.67 | 14.67 | 12.00 | 200704 | 0.00 | 0.00 | 83.70 | 0.00 | 13.68 | true |
| 473 | resnet_v1_152/block3/unit_35/bottleneck_v1/Relu | Relu | 22.67 | 10.00 | 12.67 | 0 | 0.00 | 0.00 | 71.80 | 0.00 | 0.00 | true |
| 474 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 267.33 | 362.33 | -95.00 | 134348800 | 0.00 | 0.00 | 16.59 | 0.00 | 370.79 | true |
| 475 | resnet_v1_152/block3/unit_36/bottleneck_v1/shortcut/MaxPool | MaxPool | 46.33 | 15.00 | 31.33 | 50176 | 0.00 | 0.00 | 39.30 | 0.00 | 3.35 | true |
| 476 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 26.33 | 8.00 | 18.33 | 50176 | 0.00 | 0.00 | 71.70 | 0.00 | 6.27 | true |
| 477 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv1/Relu | Relu | 20.33 | 6.00 | 14.33 | 0 | 0.00 | 0.00 | 64.90 | 0.00 | 0.00 | true |
| 478 | resnet_v1_152/block3/unit_36/bottleneck_v1/Pad | Pad | 39.00 | 15.00 | 24.00 | 0 | 0.00 | 0.00 | 58.20 | 0.00 | 0.00 | true |
| 479 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 448.33 | 613.67 | -165.33 | 75510016 | 0.00 | 0.00 | 10.69 | 0.00 | 123.05 | true |
| 480 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.00 | 19.33 | 12544 | 0.00 | 0.00 | 44.20 | 0.00 | 1.57 | true |
| 481 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.00 | 14.33 | 0 | 0.00 | 0.00 | 45.40 | 0.00 | 0.00 | true |
| 482 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 164.33 | 166.67 | -2.33 | 33604608 | 0.00 | 0.00 | 20.46 | 0.00 | 201.63 | true |
| 483 | resnet_v1_152/block3/unit_36/bottleneck_v1/conv3/BatchNorm/batchnorm/add_1 | Add | 28.00 | 8.00 | 20.00 | 50176 | 0.00 | 0.00 | 65.50 | 0.00 | 6.27 | true |
| 484 | resnet_v1_152/block3/unit_36/bottleneck_v1/add | Add | 24.33 | 8.00 | 16.33 | 50176 | 0.00 | 0.00 | 68.10 | 0.00 | 6.27 | true |
| 485 | resnet_v1_152/block3/unit_36/bottleneck_v1/Relu | Relu | 22.67 | 6.00 | 16.67 | 0 | 0.00 | 0.00 | 66.40 | 0.00 | 0.00 | true |
| 486 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 382.00 | 500.00 | -118.00 | 67133952 | 0.00 | 0.00 | 11.90 | 0.00 | 134.27 | true |
| 487 | resnet_v1_152/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/batchnorm/mul_1 | Conv2D | 577.67 | 722.33 | -144.67 | 537395200 | 0.00 | 0.00 | 29.13 | 0.00 | 743.97 | true |
| 488 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.00 | 9.00 | 19.00 | 25088 | 0.00 | 0.00 | 60.90 | 0.00 | 2.79 | true |
| 489 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv1/Relu | Relu | 21.33 | 7.00 | 14.33 | 0 | 0.00 | 0.00 | 69.00 | 0.00 | 0.00 | true |
| 490 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 910.67 | 1044.67 | -134.00 | 294748160 | 0.00 | 0.00 | 42.44 | 0.00 | 282.15 | true |
| 491 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 8.67 | 18.67 | 25088 | 0.00 | 0.00 | 60.90 | 0.00 | 2.89 | true |
| 492 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv2/Relu | Relu | 23.00 | 6.00 | 17.00 | 0 | 0.00 | 0.00 | 69.00 | 0.00 | 0.00 | true |
| 493 | resnet_v1_152/block4/unit_1/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 312.00 | 352.33 | -40.33 | 268959744 | 0.00 | 0.00 | 27.06 | 0.00 | 763.37 | true |
| 494 | resnet_v1_152/block4/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 29.33 | 10.33 | 19.00 | 100352 | 0.00 | 0.00 | 72.50 | 0.00 | 9.71 | true |
| 495 | resnet_v1_152/block4/unit_1/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 25.33 | 12.00 | 13.33 | 100352 | 0.00 | 0.00 | 77.00 | 0.00 | 8.36 | true |
| 496 | resnet_v1_152/block4/unit_1/bottleneck_v1/Relu | Relu | 21.00 | 7.00 | 14.00 | 0 | 0.00 | 0.00 | 67.90 | 0.00 | 0.00 | true |
| 497 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 539.67 | 735.33 | -195.67 | 134242816 | 0.00 | 0.00 | 14.92 | 0.00 | 182.56 | true |
| 498 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 28.33 | 9.00 | 19.33 | 25088 | 0.00 | 0.00 | 62.10 | 0.00 | 2.79 | true |
| 499 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv1/Relu | Relu | 23.33 | 6.00 | 17.33 | 0 | 0.00 | 0.00 | 62.00 | 0.00 | 0.00 | true |
| 500 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 903.00 | 1032.67 | -129.67 | 294748160 | 0.00 | 0.00 | 42.49 | 0.00 | 285.42 | true |
| 501 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 27.33 | 9.00 | 18.33 | 25088 | 0.00 | 0.00 | 64.00 | 0.00 | 2.79 | true |
| 502 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv2/Relu | Relu | 21.00 | 6.00 | 15.00 | 0 | 0.00 | 0.00 | 68.70 | 0.00 | 0.00 | true |
| 503 | resnet_v1_152/block4/unit_2/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 308.33 | 350.33 | -42.00 | 268959744 | 0.00 | 0.00 | 26.87 | 0.00 | 767.73 | true |
| 504 | resnet_v1_152/block4/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 29.67 | 10.33 | 19.33 | 100352 | 0.00 | 0.00 | 72.60 | 0.00 | 9.71 | true |
| 505 | resnet_v1_152/block4/unit_2/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.33 | 12.67 | 13.67 | 100352 | 0.00 | 0.00 | 76.90 | 0.00 | 7.92 | true |
| 506 | resnet_v1_152/block4/unit_2/bottleneck_v1/Relu | Relu | 21.67 | 7.00 | 14.67 | 0 | 0.00 | 0.00 | 68.00 | 0.00 | 0.00 | true |
| 507 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/mul_1 | Conv2D | 531.33 | 737.00 | -205.67 | 134242816 | 0.00 | 0.00 | 14.90 | 0.00 | 182.15 | true |
| 508 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv1/BatchNorm/batchnorm/add_1 | Add | 27.67 | 9.00 | 18.67 | 25088 | 0.00 | 0.00 | 61.90 | 0.00 | 2.79 | true |
| 509 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv1/Relu | Relu | 21.33 | 6.00 | 15.33 | 0 | 0.00 | 0.00 | 61.60 | 0.00 | 0.00 | true |
| 510 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/mul_1 | Conv2D | 897.67 | 1034.00 | -136.33 | 294748160 | 0.00 | 0.00 | 42.47 | 0.00 | 285.06 | true |
| 511 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv2/BatchNorm/batchnorm/add_1 | Add | 29.33 | 8.67 | 20.67 | 25088 | 0.00 | 0.00 | 63.80 | 0.00 | 2.89 | true |
| 512 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv2/Relu | Relu | 20.33 | 6.00 | 14.33 | 0 | 0.00 | 0.00 | 68.90 | 0.00 | 0.00 | true |
| 513 | resnet_v1_152/block4/unit_3/bottleneck_v1/conv3/BatchNorm/batchnorm/mul_1 | Conv2D | 310.00 | 350.33 | -40.33 | 268959744 | 0.00 | 0.00 | 26.83 | 0.00 | 767.73 | true |
| 514 | resnet_v1_152/block4/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_Leaf_1_add | AddN | 28.67 | 11.00 | 17.67 | 100352 | 0.00 | 0.00 | 72.50 | 0.00 | 9.12 | true |
| 515 | resnet_v1_152/block4/unit_3/bottleneck_v1/ArithmeticOptimizer/AddOpsRewrite_add | Add | 26.00 | 12.33 | 13.67 | 100352 | 0.00 | 0.00 | 76.80 | 0.00 | 8.14 | true |
| 516 | resnet_v1_152/block4/unit_3/bottleneck_v1/Relu | Relu | 22.00 | 7.00 | 15.00 | 0 | 0.00 | 0.00 | 68.00 | 0.00 | 0.00 | true |
| 517 | resnet_v1_152/pool5 | Mean | 37.67 | 15.00 | 22.67 | 323323 | 0.00 | 0.00 | 75.10 | 0.00 | 21.55 | true |
| 518 | resnet_v1_152/logits/convolution | Conv2D | 682.33 | 891.67 | -209.33 | 134218728 | 0.00 | 0.00 | 21.77 | 0.00 | 150.53 | true |
| 519 | resnet_v1_152/logits/BiasAdd | BiasAdd | 29.33 | 7.00 | 22.33 | 1000 | 0.00 | 0.00 | 47.90 | 0.00 | 0.14 | true |
| 520 | resnet_v1_152/SpatialSqueeze | Squeeze | 10.67 | 0.00 | 10.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
| 521 | resnet_v1_152/predictions/Shape | Shape | 12.00 | 0.00 | 12.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
| 522 | resnet_v1_152/predictions/Softmax | Softmax | 71.00 | 37.00 | 34.00 | 34421 | 0.00 | 0.00 | 3.34 | 0.00 | 0.93 | true |
| 523 | resnet_v1_152/predictions/Reshape_1 | Reshape | 8.00 | 0.00 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
Showing 1 to 523 of 523 entries