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 |
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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 | MobilenetV1/MobilenetV1/Conv2d_0/Conv2D-0-TransposeNHWCToNCHW-LayoutOptimizer | Transpose | 64.33 | 8.00 | 56.33 | 0 | 0.00 | 0.00 | 91.30 | 0.00 | 0.00 | true |
2 | MobilenetV1/MobilenetV1/Conv2d_0/Conv2D | Conv2D | 174.33 | 31.67 | 142.67 | 7602176 | 0.00 | 0.00 | 24.14 | 0.00 | 240.07 | true |
3 | MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm/Mul | Mul | 36.00 | 5.00 | 31.00 | 65536 | 0.00 | 0.00 | 66.60 | 0.00 | 13.11 | true |
4 | MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm | Add | 27.33 | 4.00 | 23.33 | 65536 | 0.00 | 0.00 | 71.30 | 0.00 | 16.38 | true |
5 | MobilenetV1/MobilenetV1/Conv2d_0/Relu6 | Relu6 | 24.00 | 4.00 | 20.00 | 0 | 0.00 | 0.00 | 67.00 | 0.00 | 0.00 | true |
6 | MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise | DepthwiseConv2dNative | 596.33 | 173.67 | 422.66 | 54525952 | 0.00 | 0.00 | 12.53 | 0.00 | 313.96 | true |
7 | MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.00 | 4.00 | 26.00 | 65536 | 0.00 | 0.00 | 63.70 | 0.00 | 16.38 | true |
8 | MobilenetV1/MobilenetV1/Conv2d_1_depthwise/BatchNorm/FusedBatchNorm | Add | 23.33 | 4.00 | 19.33 | 65536 | 0.00 | 0.00 | 64.10 | 0.00 | 16.38 | true |
9 | MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6 | Relu6 | 23.33 | 3.00 | 20.33 | 0 | 0.00 | 0.00 | 63.30 | 0.00 | 0.00 | true |
10 | MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D | Conv2D | 97.00 | 14.00 | 83.00 | 4456448 | 0.00 | 0.00 | 16.21 | 0.00 | 318.32 | true |
11 | MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 29.00 | 5.00 | 24.00 | 131072 | 0.00 | 0.00 | 80.60 | 0.00 | 26.21 | true |
12 | MobilenetV1/MobilenetV1/Conv2d_1_pointwise/BatchNorm/FusedBatchNorm | Add | 23.00 | 5.00 | 18.00 | 131072 | 0.00 | 0.00 | 80.30 | 0.00 | 26.21 | true |
13 | MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6 | Relu6 | 21.67 | 4.00 | 17.67 | 0 | 0.00 | 0.00 | 73.10 | 0.00 | 0.00 | true |
14 | MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise | DepthwiseConv2dNative | 1075.67 | 305.00 | 770.67 | 27262976 | 0.00 | 0.00 | 8.30 | 0.00 | 89.39 | true |
15 | MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 29.33 | 4.00 | 25.33 | 32768 | 0.00 | 0.00 | 69.90 | 0.00 | 8.19 | true |
16 | MobilenetV1/MobilenetV1/Conv2d_2_depthwise/BatchNorm/FusedBatchNorm | Add | 24.00 | 4.00 | 20.00 | 32768 | 0.00 | 0.00 | 70.10 | 0.00 | 8.19 | true |
17 | MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6 | Relu6 | 21.00 | 3.00 | 18.00 | 0 | 0.00 | 0.00 | 69.40 | 0.00 | 0.00 | true |
18 | MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D | Conv2D | 110.00 | 26.33 | 83.67 | 4325376 | 0.00 | 0.00 | 12.04 | 0.00 | 164.26 | true |
19 | MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.33 | 4.00 | 23.33 | 65536 | 0.00 | 0.00 | 63.60 | 0.00 | 16.38 | true |
20 | MobilenetV1/MobilenetV1/Conv2d_2_pointwise/BatchNorm/FusedBatchNorm | Add | 22.67 | 4.00 | 18.67 | 65536 | 0.00 | 0.00 | 63.30 | 0.00 | 16.38 | true |
21 | MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6 | Relu6 | 23.00 | 3.00 | 20.00 | 0 | 0.00 | 0.00 | 62.30 | 0.00 | 0.00 | true |
22 | MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise | DepthwiseConv2dNative | 3632.33 | 707.00 | 2925.33 | 160333824 | 0.00 | 0.00 | 10.24 | 0.00 | 226.78 | true |
23 | MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 35.00 | 4.00 | 31.00 | 65536 | 0.00 | 0.00 | 63.10 | 0.00 | 16.38 | true |
24 | MobilenetV1/MobilenetV1/Conv2d_3_depthwise/BatchNorm/FusedBatchNorm | Add | 24.67 | 4.00 | 20.67 | 65536 | 0.00 | 0.00 | 63.30 | 0.00 | 16.38 | true |
25 | MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6 | Relu6 | 21.67 | 3.00 | 18.67 | 0 | 0.00 | 0.00 | 62.00 | 0.00 | 0.00 | true |
26 | MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D | Conv2D | 108.33 | 26.00 | 82.33 | 8519680 | 0.00 | 0.00 | 12.09 | 0.00 | 327.68 | true |
27 | MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.00 | 4.00 | 24.00 | 65536 | 0.00 | 0.00 | 63.20 | 0.00 | 16.38 | true |
28 | MobilenetV1/MobilenetV1/Conv2d_3_pointwise/BatchNorm/FusedBatchNorm | Add | 23.33 | 4.00 | 19.33 | 65536 | 0.00 | 0.00 | 63.60 | 0.00 | 16.38 | true |
29 | MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 62.70 | 0.00 | 0.00 | true |
30 | MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise | DepthwiseConv2dNative | 2041.33 | 588.00 | 1453.33 | 13631488 | 0.00 | 0.00 | 6.90 | 0.00 | 23.18 | true |
31 | MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 29.67 | 4.00 | 25.67 | 16384 | 0.00 | 0.00 | 44.60 | 0.00 | 4.10 | true |
32 | MobilenetV1/MobilenetV1/Conv2d_4_depthwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 44.50 | 0.00 | 4.10 | true |
33 | MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6 | Relu6 | 21.67 | 3.00 | 18.67 | 0 | 0.00 | 0.00 | 42.10 | 0.00 | 0.00 | true |
34 | MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D | Conv2D | 118.33 | 36.00 | 82.33 | 4259840 | 0.00 | 0.00 | 15.68 | 0.00 | 118.33 | true |
35 | MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.33 | 4.00 | 23.33 | 32768 | 0.00 | 0.00 | 69.00 | 0.00 | 8.19 | true |
36 | MobilenetV1/MobilenetV1/Conv2d_4_pointwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 32768 | 0.00 | 0.00 | 68.90 | 0.00 | 8.19 | true |
37 | MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 68.20 | 0.00 | 0.00 | true |
38 | MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise | DepthwiseConv2dNative | 7044.67 | 1412.00 | 5632.67 | 81592320 | 0.00 | 0.00 | 10.22 | 0.00 | 57.78 | true |
39 | MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 29.67 | 4.00 | 25.67 | 32768 | 0.00 | 0.00 | 69.10 | 0.00 | 8.19 | true |
40 | MobilenetV1/MobilenetV1/Conv2d_5_depthwise/BatchNorm/FusedBatchNorm | Add | 24.00 | 4.00 | 20.00 | 32768 | 0.00 | 0.00 | 68.70 | 0.00 | 8.19 | true |
41 | MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6 | Relu6 | 21.00 | 3.00 | 18.00 | 0 | 0.00 | 0.00 | 67.70 | 0.00 | 0.00 | true |
42 | MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D | Conv2D | 123.67 | 37.00 | 86.67 | 8454144 | 0.00 | 0.00 | 15.15 | 0.00 | 228.49 | true |
43 | MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.67 | 4.00 | 23.67 | 32768 | 0.00 | 0.00 | 69.70 | 0.00 | 8.19 | true |
44 | MobilenetV1/MobilenetV1/Conv2d_5_pointwise/BatchNorm/FusedBatchNorm | Add | 22.67 | 4.00 | 18.67 | 32768 | 0.00 | 0.00 | 68.90 | 0.00 | 8.19 | true |
45 | MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 68.20 | 0.00 | 0.00 | true |
46 | MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise | DepthwiseConv2dNative | 5054.67 | 1419.00 | 3635.67 | 8396800 | 0.00 | 0.00 | 5.16 | 0.00 | 5.92 | true |
47 | MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 33.00 | 4.00 | 29.00 | 8192 | 0.00 | 0.00 | 44.80 | 0.00 | 2.05 | true |
48 | MobilenetV1/MobilenetV1/Conv2d_6_depthwise/BatchNorm/FusedBatchNorm | Add | 23.33 | 4.00 | 19.33 | 8192 | 0.00 | 0.00 | 44.80 | 0.00 | 2.05 | true |
49 | MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6 | Relu6 | 22.67 | 3.00 | 19.67 | 0 | 0.00 | 0.00 | 42.40 | 0.00 | 0.00 | true |
50 | MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D | Conv2D | 176.00 | 78.33 | 97.67 | 4210688 | 0.00 | 0.00 | 6.14 | 0.00 | 53.75 | true |
51 | MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.00 | 4.00 | 24.00 | 16384 | 0.00 | 0.00 | 44.80 | 0.00 | 4.10 | true |
52 | MobilenetV1/MobilenetV1/Conv2d_6_pointwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 45.00 | 0.00 | 4.10 | true |
53 | MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
54 | MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise | DepthwiseConv2dNative | 13976.00 | 2820.00 | 11156.00 | 83492864 | 0.00 | 0.00 | 10.19 | 0.00 | 29.61 | true |
55 | MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.33 | 4.00 | 26.33 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
56 | MobilenetV1/MobilenetV1/Conv2d_7_depthwise/BatchNorm/FusedBatchNorm | Add | 22.67 | 4.00 | 18.67 | 16384 | 0.00 | 0.00 | 44.60 | 0.00 | 4.10 | true |
57 | MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6 | Relu6 | 21.00 | 3.00 | 18.00 | 0 | 0.00 | 0.00 | 41.60 | 0.00 | 0.00 | true |
58 | MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D | Conv2D | 222.67 | 129.33 | 93.33 | 8404992 | 0.00 | 0.00 | 6.26 | 0.00 | 64.99 | true |
59 | MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.33 | 4.00 | 24.33 | 16384 | 0.00 | 0.00 | 44.80 | 0.00 | 4.10 | true |
60 | MobilenetV1/MobilenetV1/Conv2d_7_pointwise/BatchNorm/FusedBatchNorm | Add | 22.00 | 4.00 | 18.00 | 16384 | 0.00 | 0.00 | 44.90 | 0.00 | 4.10 | true |
61 | MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6 | Relu6 | 22.33 | 3.00 | 19.33 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
62 | MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise | DepthwiseConv2dNative | 13951.67 | 2820.00 | 11131.67 | 83492864 | 0.00 | 0.00 | 10.19 | 0.00 | 29.61 | true |
63 | MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.00 | 4.00 | 26.00 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
64 | MobilenetV1/MobilenetV1/Conv2d_8_depthwise/BatchNorm/FusedBatchNorm | Add | 23.33 | 4.00 | 19.33 | 16384 | 0.00 | 0.00 | 44.50 | 0.00 | 4.10 | true |
65 | MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 41.60 | 0.00 | 0.00 | true |
66 | MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D | Conv2D | 216.33 | 129.00 | 87.33 | 8404992 | 0.00 | 0.00 | 6.26 | 0.00 | 65.15 | true |
67 | MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.67 | 4.00 | 23.67 | 16384 | 0.00 | 0.00 | 44.90 | 0.00 | 4.10 | true |
68 | MobilenetV1/MobilenetV1/Conv2d_8_pointwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 45.00 | 0.00 | 4.10 | true |
69 | MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6 | Relu6 | 21.00 | 3.00 | 18.00 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
70 | MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise | DepthwiseConv2dNative | 13992.00 | 2820.00 | 11172.00 | 83492864 | 0.00 | 0.00 | 10.19 | 0.00 | 29.61 | true |
71 | MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 31.33 | 4.00 | 27.33 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
72 | MobilenetV1/MobilenetV1/Conv2d_9_depthwise/BatchNorm/FusedBatchNorm | Add | 23.00 | 4.00 | 19.00 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
73 | MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6 | Relu6 | 22.33 | 3.00 | 19.33 | 0 | 0.00 | 0.00 | 41.50 | 0.00 | 0.00 | true |
74 | MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D | Conv2D | 217.33 | 129.67 | 87.67 | 8404992 | 0.00 | 0.00 | 6.54 | 0.00 | 64.82 | true |
75 | MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.00 | 4.00 | 24.00 | 16384 | 0.00 | 0.00 | 45.00 | 0.00 | 4.10 | true |
76 | MobilenetV1/MobilenetV1/Conv2d_9_pointwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 44.90 | 0.00 | 4.10 | true |
77 | MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
78 | MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise | DepthwiseConv2dNative | 13936.00 | 2820.00 | 11116.00 | 83492864 | 0.00 | 0.00 | 10.19 | 0.00 | 29.61 | true |
79 | MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.33 | 4.00 | 26.33 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
80 | MobilenetV1/MobilenetV1/Conv2d_10_depthwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
81 | MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 41.50 | 0.00 | 0.00 | true |
82 | MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D | Conv2D | 214.33 | 130.00 | 84.33 | 8404992 | 0.00 | 0.00 | 6.57 | 0.00 | 64.65 | true |
83 | MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.33 | 4.00 | 24.33 | 16384 | 0.00 | 0.00 | 44.80 | 0.00 | 4.10 | true |
84 | MobilenetV1/MobilenetV1/Conv2d_10_pointwise/BatchNorm/FusedBatchNorm | Add | 22.33 | 4.00 | 18.33 | 16384 | 0.00 | 0.00 | 45.00 | 0.00 | 4.10 | true |
85 | MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6 | Relu6 | 21.33 | 3.00 | 18.33 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
86 | MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise | DepthwiseConv2dNative | 13973.33 | 2820.00 | 11153.33 | 83492864 | 0.00 | 0.00 | 10.19 | 0.00 | 29.61 | true |
87 | MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.00 | 4.00 | 26.00 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
88 | MobilenetV1/MobilenetV1/Conv2d_11_depthwise/BatchNorm/FusedBatchNorm | Add | 23.00 | 4.00 | 19.00 | 16384 | 0.00 | 0.00 | 44.40 | 0.00 | 4.10 | true |
89 | MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 41.50 | 0.00 | 0.00 | true |
90 | MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D | Conv2D | 215.67 | 129.00 | 86.67 | 8404992 | 0.00 | 0.00 | 6.26 | 0.00 | 65.15 | true |
91 | MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.33 | 4.00 | 23.33 | 16384 | 0.00 | 0.00 | 44.90 | 0.00 | 4.10 | true |
92 | MobilenetV1/MobilenetV1/Conv2d_11_pointwise/BatchNorm/FusedBatchNorm | Add | 22.67 | 4.00 | 18.67 | 16384 | 0.00 | 0.00 | 44.90 | 0.00 | 4.10 | true |
93 | MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 42.00 | 0.00 | 0.00 | true |
94 | MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise | DepthwiseConv2dNative | 9919.67 | 2825.67 | 7094.00 | 8392704 | 0.00 | 0.00 | 4.42 | 0.00 | 2.97 | true |
95 | MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 30.67 | 4.00 | 26.67 | 4096 | 0.00 | 0.00 | 44.50 | 0.00 | 1.02 | true |
96 | MobilenetV1/MobilenetV1/Conv2d_12_depthwise/BatchNorm/FusedBatchNorm | Add | 22.67 | 4.00 | 18.67 | 4096 | 0.00 | 0.00 | 44.60 | 0.00 | 1.02 | true |
97 | MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 42.40 | 0.00 | 0.00 | true |
98 | MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D | Conv2D | 146.67 | 70.00 | 76.67 | 8396800 | 0.00 | 0.00 | 10.20 | 0.00 | 119.95 | true |
99 | MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 28.00 | 4.00 | 24.00 | 8192 | 0.00 | 0.00 | 45.00 | 0.00 | 2.05 | true |
100 | MobilenetV1/MobilenetV1/Conv2d_12_pointwise/BatchNorm/FusedBatchNorm | Add | 23.00 | 4.00 | 19.00 | 8192 | 0.00 | 0.00 | 45.10 | 0.00 | 2.05 | true |
101 | MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6 | Relu6 | 20.33 | 3.00 | 17.33 | 0 | 0.00 | 0.00 | 42.30 | 0.00 | 0.00 | true |
102 | MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise | DepthwiseConv2dNative | 27689.00 | 5636.00 | 22053.00 | 166985728 | 0.00 | 0.00 | 10.17 | 0.00 | 29.63 | true |
103 | MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm/Mul | Mul | 29.67 | 4.00 | 25.67 | 8192 | 0.00 | 0.00 | 44.60 | 0.00 | 2.05 | true |
104 | MobilenetV1/MobilenetV1/Conv2d_13_depthwise/BatchNorm/FusedBatchNorm | Add | 23.33 | 4.00 | 19.33 | 8192 | 0.00 | 0.00 | 44.70 | 0.00 | 2.05 | true |
105 | MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6 | Relu6 | 21.67 | 3.00 | 18.67 | 0 | 0.00 | 0.00 | 41.80 | 0.00 | 0.00 | true |
106 | MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D | Conv2D | 189.00 | 114.33 | 74.67 | 16785408 | 0.00 | 0.00 | 11.09 | 0.00 | 146.81 | true |
107 | MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm/Mul | Mul | 27.67 | 4.00 | 23.67 | 8192 | 0.00 | 0.00 | 45.60 | 0.00 | 2.05 | true |
108 | MobilenetV1/MobilenetV1/Conv2d_13_pointwise/BatchNorm/FusedBatchNorm | Add | 22.00 | 4.00 | 18.00 | 8192 | 0.00 | 0.00 | 45.00 | 0.00 | 2.05 | true |
109 | MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6 | Relu6 | 20.67 | 3.00 | 17.67 | 0 | 0.00 | 0.00 | 43.10 | 0.00 | 0.00 | true |
110 | MobilenetV1/Logits/AvgPool_1a/AvgPool | AvgPool | 53.00 | 13.00 | 40.00 | 15490 | 0.00 | 0.00 | 12.40 | 0.00 | 1.19 | true |
111 | MobilenetV1/Logits/Conv2d_1c_1x1/Conv2D | Conv2D | 299.00 | 205.00 | 94.00 | 33555433 | 0.00 | 0.00 | 14.29 | 0.00 | 163.69 | true |
112 | MobilenetV1/Logits/Conv2d_1c_1x1/BiasAdd | BiasAdd | 29.00 | 4.00 | 25.00 | 1001 | 0.00 | 0.00 | 47.50 | 0.00 | 0.25 | true |
113 | MobilenetV1/Logits/Conv2d_1c_1x1/BiasAdd-0-0-TransposeNCHWToNHWC-LayoutOptimizer | Transpose | 7.00 | 0.00 | 7.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
114 | MobilenetV1/Logits/SpatialSqueeze | Squeeze | 10.33 | 0.00 | 10.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
115 | MobilenetV1/Predictions/Shape | Shape | 9.00 | 0.00 | 9.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
116 | MobilenetV1/Predictions/Softmax | Softmax | 71.00 | 20.67 | 50.33 | 34455 | 0.00 | 0.00 | 3.33 | 0.00 | 1.67 | true |
117 | MobilenetV1/Predictions/Reshape_1 | Reshape | 8.33 | 0.00 | 8.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | NaN | true |
Showing 1 to 117 of 117 entries