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 | mobilenetv21_features_batchnorm0_fwd | BatchNorm | 121.00 | 8.00 | 113.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
2 | mobilenetv21_features_relu60_relu6 | clip | 123.00 | 4.00 | 119.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
3 | mobilenetv21_features_linearbottleneck0_conv0_fwd | Convolution | 4814.00 | 15.00 | 4799.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
4 | mobilenetv21_features_linearbottleneck0_batchnorm0_fwd | BatchNorm | 106.33 | 8.00 | 98.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
5 | mobilenetv21_features_linearbottleneck0_relu60_relu6 | clip | 138.00 | 4.00 | 134.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
6 | mobilenetv21_features_linearbottleneck0_conv1_fwd | Convolution | 5358.00 | 24.00 | 5334.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
7 | mobilenetv21_features_linearbottleneck0_batchnorm1_fwd | BatchNorm | 112.67 | 8.00 | 104.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
8 | mobilenetv21_features_linearbottleneck0_relu61_relu6 | clip | 154.67 | 4.00 | 150.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
9 | mobilenetv21_features_linearbottleneck0_conv2_fwd | Convolution | 2355.33 | 15.00 | 2340.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
10 | mobilenetv21_features_linearbottleneck0_batchnorm2_fwd | BatchNorm | 35.33 | 8.00 | 27.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
11 | mobilenetv21_features_linearbottleneck1_conv0_fwd | Convolution | 3748.33 | 18.00 | 3730.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
12 | mobilenetv21_features_linearbottleneck1_batchnorm0_fwd | BatchNorm | 181.67 | 12.67 | 169.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
13 | mobilenetv21_features_linearbottleneck1_relu60_relu6 | clip | 399.67 | 11.00 | 388.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
14 | mobilenetv21_features_linearbottleneck1_conv1_fwd | Convolution | 4137.00 | 11.67 | 4125.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
15 | mobilenetv21_features_linearbottleneck1_batchnorm1_fwd | BatchNorm | 98.00 | 4.33 | 93.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
16 | mobilenetv21_features_linearbottleneck1_relu61_relu6 | clip | 147.67 | 3.33 | 144.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
17 | mobilenetv21_features_linearbottleneck1_conv2_fwd | Convolution | 1230.33 | 12.00 | 1218.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
18 | mobilenetv21_features_linearbottleneck1_batchnorm2_fwd | BatchNorm | 17.33 | 4.00 | 13.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
19 | mobilenetv21_features_linearbottleneck2_conv0_fwd | Convolution | 3517.67 | 13.33 | 3504.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
20 | mobilenetv21_features_linearbottleneck2_batchnorm0_fwd | BatchNorm | 116.00 | 4.33 | 111.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
21 | mobilenetv21_features_linearbottleneck2_relu60_relu6 | clip | 170.33 | 5.00 | 165.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
22 | mobilenetv21_features_linearbottleneck2_conv1_fwd | Convolution | 6034.33 | 10.00 | 6024.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
23 | mobilenetv21_features_linearbottleneck2_batchnorm1_fwd | BatchNorm | 98.00 | 4.33 | 93.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
24 | mobilenetv21_features_linearbottleneck2_relu61_relu6 | clip | 186.00 | 4.33 | 181.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
25 | mobilenetv21_features_linearbottleneck2_conv2_fwd | Convolution | 1367.33 | 12.67 | 1354.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
26 | mobilenetv21_features_linearbottleneck2_batchnorm2_fwd | BatchNorm | 16.67 | 4.00 | 12.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
27 | mobilenetv21_features_linearbottleneck2_elemwise_add0 | elemwise_add | 14.00 | 2.33 | 11.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
28 | mobilenetv21_features_linearbottleneck3_conv0_fwd | Convolution | 3480.33 | 12.33 | 3468.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
29 | mobilenetv21_features_linearbottleneck3_batchnorm0_fwd | BatchNorm | 102.33 | 4.33 | 98.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
30 | mobilenetv21_features_linearbottleneck3_relu60_relu6 | clip | 175.33 | 4.00 | 171.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
31 | mobilenetv21_features_linearbottleneck3_conv1_fwd | Convolution | 1639.00 | 7.00 | 1632.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
32 | mobilenetv21_features_linearbottleneck3_batchnorm1_fwd | BatchNorm | 27.33 | 4.00 | 23.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
33 | mobilenetv21_features_linearbottleneck3_relu61_relu6 | clip | 41.67 | 2.00 | 39.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
34 | mobilenetv21_features_linearbottleneck3_conv2_fwd | Convolution | 460.33 | 10.00 | 450.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
35 | mobilenetv21_features_linearbottleneck3_batchnorm2_fwd | BatchNorm | 12.33 | 2.67 | 9.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
36 | mobilenetv21_features_linearbottleneck4_conv0_fwd | Convolution | 442.33 | 12.67 | 429.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
37 | mobilenetv21_features_linearbottleneck4_batchnorm0_fwd | BatchNorm | 25.33 | 4.00 | 21.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
38 | mobilenetv21_features_linearbottleneck4_relu60_relu6 | clip | 48.33 | 2.67 | 45.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
39 | mobilenetv21_features_linearbottleneck4_conv1_fwd | Convolution | 2090.67 | 5.00 | 2085.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
40 | mobilenetv21_features_linearbottleneck4_batchnorm1_fwd | BatchNorm | 37.33 | 3.33 | 34.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
41 | mobilenetv21_features_linearbottleneck4_relu61_relu6 | clip | 68.67 | 2.33 | 66.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
42 | mobilenetv21_features_linearbottleneck4_conv2_fwd | Convolution | 483.00 | 12.00 | 471.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
43 | mobilenetv21_features_linearbottleneck4_batchnorm2_fwd | BatchNorm | 11.67 | 3.00 | 8.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
44 | mobilenetv21_features_linearbottleneck4_elemwise_add0 | elemwise_add | 7.67 | 2.33 | 5.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
45 | mobilenetv21_features_linearbottleneck5_conv0_fwd | Convolution | 442.67 | 13.00 | 429.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
46 | mobilenetv21_features_linearbottleneck5_batchnorm0_fwd | BatchNorm | 19.00 | 3.33 | 15.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
47 | mobilenetv21_features_linearbottleneck5_relu60_relu6 | clip | 54.00 | 2.33 | 51.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
48 | mobilenetv21_features_linearbottleneck5_conv1_fwd | Convolution | 2074.00 | 5.00 | 2069.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
49 | mobilenetv21_features_linearbottleneck5_batchnorm1_fwd | BatchNorm | 31.67 | 3.33 | 28.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
50 | mobilenetv21_features_linearbottleneck5_relu61_relu6 | clip | 67.67 | 2.67 | 65.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
51 | mobilenetv21_features_linearbottleneck5_conv2_fwd | Convolution | 487.00 | 11.67 | 475.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
52 | mobilenetv21_features_linearbottleneck5_batchnorm2_fwd | BatchNorm | 11.33 | 3.33 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
53 | mobilenetv21_features_linearbottleneck5_elemwise_add0 | elemwise_add | 7.67 | 2.00 | 5.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
54 | mobilenetv21_features_linearbottleneck6_conv0_fwd | Convolution | 442.00 | 12.00 | 430.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
55 | mobilenetv21_features_linearbottleneck6_batchnorm0_fwd | BatchNorm | 19.33 | 3.67 | 15.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
56 | mobilenetv21_features_linearbottleneck6_relu60_relu6 | clip | 53.33 | 2.33 | 51.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
57 | mobilenetv21_features_linearbottleneck6_conv1_fwd | Convolution | 603.33 | 4.33 | 599.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
58 | mobilenetv21_features_linearbottleneck6_batchnorm1_fwd | BatchNorm | 11.67 | 3.00 | 8.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
59 | mobilenetv21_features_linearbottleneck6_relu61_relu6 | clip | 15.67 | 2.00 | 13.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
60 | mobilenetv21_features_linearbottleneck6_conv2_fwd | Convolution | 213.33 | 12.00 | 201.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
61 | mobilenetv21_features_linearbottleneck6_batchnorm2_fwd | BatchNorm | 10.67 | 2.67 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
62 | mobilenetv21_features_linearbottleneck7_conv0_fwd | Convolution | 361.67 | 6.33 | 355.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
63 | mobilenetv21_features_linearbottleneck7_batchnorm0_fwd | BatchNorm | 19.67 | 3.00 | 16.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
64 | mobilenetv21_features_linearbottleneck7_relu60_relu6 | clip | 23.33 | 2.00 | 21.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
65 | mobilenetv21_features_linearbottleneck7_conv1_fwd | Convolution | 1153.67 | 4.00 | 1149.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
66 | mobilenetv21_features_linearbottleneck7_batchnorm1_fwd | BatchNorm | 23.33 | 3.00 | 20.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
67 | mobilenetv21_features_linearbottleneck7_relu61_relu6 | clip | 32.67 | 2.00 | 30.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
68 | mobilenetv21_features_linearbottleneck7_conv2_fwd | Convolution | 420.33 | 19.33 | 401.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
69 | mobilenetv21_features_linearbottleneck7_batchnorm2_fwd | BatchNorm | 10.67 | 2.67 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
70 | mobilenetv21_features_linearbottleneck7_elemwise_add0 | elemwise_add | 6.00 | 2.00 | 4.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
71 | mobilenetv21_features_linearbottleneck8_conv0_fwd | Convolution | 362.00 | 7.00 | 355.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
72 | mobilenetv21_features_linearbottleneck8_batchnorm0_fwd | BatchNorm | 18.00 | 3.00 | 15.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
73 | mobilenetv21_features_linearbottleneck8_relu60_relu6 | clip | 25.00 | 2.33 | 22.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
74 | mobilenetv21_features_linearbottleneck8_conv1_fwd | Convolution | 1149.67 | 4.33 | 1145.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
75 | mobilenetv21_features_linearbottleneck8_batchnorm1_fwd | BatchNorm | 29.33 | 3.00 | 26.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
76 | mobilenetv21_features_linearbottleneck8_relu61_relu6 | clip | 28.33 | 2.00 | 26.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
77 | mobilenetv21_features_linearbottleneck8_conv2_fwd | Convolution | 422.00 | 19.33 | 402.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
78 | mobilenetv21_features_linearbottleneck8_batchnorm2_fwd | BatchNorm | 10.67 | 3.00 | 7.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
79 | mobilenetv21_features_linearbottleneck8_elemwise_add0 | elemwise_add | 6.00 | 2.00 | 4.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
80 | mobilenetv21_features_linearbottleneck9_conv0_fwd | Convolution | 361.33 | 6.00 | 355.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
81 | mobilenetv21_features_linearbottleneck9_batchnorm0_fwd | BatchNorm | 17.33 | 3.67 | 13.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
82 | mobilenetv21_features_linearbottleneck9_relu60_relu6 | clip | 31.00 | 2.00 | 29.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
83 | mobilenetv21_features_linearbottleneck9_conv1_fwd | Convolution | 1154.67 | 4.00 | 1150.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
84 | mobilenetv21_features_linearbottleneck9_batchnorm1_fwd | BatchNorm | 27.67 | 3.33 | 24.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
85 | mobilenetv21_features_linearbottleneck9_relu61_relu6 | clip | 25.00 | 2.00 | 23.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
86 | mobilenetv21_features_linearbottleneck9_conv2_fwd | Convolution | 419.67 | 20.00 | 399.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
87 | mobilenetv21_features_linearbottleneck9_batchnorm2_fwd | BatchNorm | 10.33 | 2.67 | 7.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
88 | mobilenetv21_features_linearbottleneck9_elemwise_add0 | elemwise_add | 6.00 | 2.00 | 4.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
89 | mobilenetv21_features_linearbottleneck10_conv0_fwd | Convolution | 361.00 | 6.33 | 354.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
90 | mobilenetv21_features_linearbottleneck10_batchnorm0_fwd | BatchNorm | 18.00 | 3.00 | 15.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
91 | mobilenetv21_features_linearbottleneck10_relu60_relu6 | clip | 28.33 | 2.33 | 26.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
92 | mobilenetv21_features_linearbottleneck10_conv1_fwd | Convolution | 1149.33 | 4.00 | 1145.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
93 | mobilenetv21_features_linearbottleneck10_batchnorm1_fwd | BatchNorm | 18.67 | 3.33 | 15.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
94 | mobilenetv21_features_linearbottleneck10_relu61_relu6 | clip | 27.33 | 2.33 | 25.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
95 | mobilenetv21_features_linearbottleneck10_conv2_fwd | Convolution | 612.00 | 19.67 | 592.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
96 | mobilenetv21_features_linearbottleneck10_batchnorm2_fwd | BatchNorm | 11.00 | 3.00 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
97 | mobilenetv21_features_linearbottleneck11_conv0_fwd | Convolution | 831.67 | 10.00 | 821.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
98 | mobilenetv21_features_linearbottleneck11_batchnorm0_fwd | BatchNorm | 17.33 | 3.33 | 14.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
99 | mobilenetv21_features_linearbottleneck11_relu60_relu6 | clip | 38.33 | 2.67 | 35.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
100 | mobilenetv21_features_linearbottleneck11_conv1_fwd | Convolution | 1715.33 | 6.00 | 1709.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
101 | mobilenetv21_features_linearbottleneck11_batchnorm1_fwd | BatchNorm | 35.33 | 3.67 | 31.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
102 | mobilenetv21_features_linearbottleneck11_relu61_relu6 | clip | 39.00 | 2.00 | 37.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
103 | mobilenetv21_features_linearbottleneck11_conv2_fwd | Convolution | 907.33 | 26.67 | 880.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
104 | mobilenetv21_features_linearbottleneck11_batchnorm2_fwd | BatchNorm | 10.33 | 3.00 | 7.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
105 | mobilenetv21_features_linearbottleneck11_elemwise_add0 | elemwise_add | 7.00 | 2.67 | 4.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
106 | mobilenetv21_features_linearbottleneck12_conv0_fwd | Convolution | 828.67 | 10.67 | 818.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
107 | mobilenetv21_features_linearbottleneck12_batchnorm0_fwd | BatchNorm | 17.00 | 3.67 | 13.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
108 | mobilenetv21_features_linearbottleneck12_relu60_relu6 | clip | 38.00 | 2.67 | 35.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
109 | mobilenetv21_features_linearbottleneck12_conv1_fwd | Convolution | 1700.33 | 6.00 | 1694.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
110 | mobilenetv21_features_linearbottleneck12_batchnorm1_fwd | BatchNorm | 43.00 | 4.00 | 39.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
111 | mobilenetv21_features_linearbottleneck12_relu61_relu6 | clip | 33.33 | 2.67 | 30.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
112 | mobilenetv21_features_linearbottleneck12_conv2_fwd | Convolution | 908.33 | 26.67 | 881.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
113 | mobilenetv21_features_linearbottleneck12_batchnorm2_fwd | BatchNorm | 10.67 | 3.00 | 7.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
114 | mobilenetv21_features_linearbottleneck12_elemwise_add0 | elemwise_add | 6.33 | 2.00 | 4.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
115 | mobilenetv21_features_linearbottleneck13_conv0_fwd | Convolution | 828.67 | 10.00 | 818.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
116 | mobilenetv21_features_linearbottleneck13_batchnorm0_fwd | BatchNorm | 16.33 | 4.00 | 12.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
117 | mobilenetv21_features_linearbottleneck13_relu60_relu6 | clip | 34.33 | 2.33 | 32.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
118 | mobilenetv21_features_linearbottleneck13_conv1_fwd | Convolution | 566.67 | 4.00 | 562.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
119 | mobilenetv21_features_linearbottleneck13_batchnorm1_fwd | BatchNorm | 12.67 | 3.00 | 9.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
120 | mobilenetv21_features_linearbottleneck13_relu61_relu6 | clip | 10.00 | 2.00 | 8.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
121 | mobilenetv21_features_linearbottleneck13_conv2_fwd | Convolution | 442.33 | 28.00 | 414.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
122 | mobilenetv21_features_linearbottleneck13_batchnorm2_fwd | BatchNorm | 9.67 | 3.00 | 6.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
123 | mobilenetv21_features_linearbottleneck14_conv0_fwd | Convolution | 694.33 | 12.00 | 682.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
124 | mobilenetv21_features_linearbottleneck14_batchnorm0_fwd | BatchNorm | 15.00 | 3.00 | 12.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
125 | mobilenetv21_features_linearbottleneck14_relu60_relu6 | clip | 17.00 | 2.00 | 15.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
126 | mobilenetv21_features_linearbottleneck14_conv1_fwd | Convolution | 911.67 | 4.33 | 907.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
127 | mobilenetv21_features_linearbottleneck14_batchnorm1_fwd | BatchNorm | 15.00 | 3.33 | 11.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
128 | mobilenetv21_features_linearbottleneck14_relu61_relu6 | clip | 19.00 | 2.33 | 16.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
129 | mobilenetv21_features_linearbottleneck14_conv2_fwd | Convolution | 738.00 | 42.33 | 695.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
130 | mobilenetv21_features_linearbottleneck14_batchnorm2_fwd | BatchNorm | 9.67 | 3.00 | 6.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
131 | mobilenetv21_features_linearbottleneck14_elemwise_add0 | elemwise_add | 6.00 | 2.33 | 3.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
132 | mobilenetv21_features_linearbottleneck15_conv0_fwd | Convolution | 694.33 | 11.67 | 682.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
133 | mobilenetv21_features_linearbottleneck15_batchnorm0_fwd | BatchNorm | 15.00 | 3.00 | 12.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
134 | mobilenetv21_features_linearbottleneck15_relu60_relu6 | clip | 16.67 | 2.00 | 14.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
135 | mobilenetv21_features_linearbottleneck15_conv1_fwd | Convolution | 911.33 | 4.00 | 907.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
136 | mobilenetv21_features_linearbottleneck15_batchnorm1_fwd | BatchNorm | 17.33 | 3.00 | 14.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
137 | mobilenetv21_features_linearbottleneck15_relu61_relu6 | clip | 17.33 | 2.67 | 14.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
138 | mobilenetv21_features_linearbottleneck15_conv2_fwd | Convolution | 731.67 | 43.00 | 688.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
139 | mobilenetv21_features_linearbottleneck15_batchnorm2_fwd | BatchNorm | 9.67 | 2.67 | 7.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
140 | mobilenetv21_features_linearbottleneck15_elemwise_add0 | elemwise_add | 6.00 | 2.00 | 4.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
141 | mobilenetv21_features_linearbottleneck16_conv0_fwd | Convolution | 695.67 | 12.00 | 683.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
142 | mobilenetv21_features_linearbottleneck16_batchnorm0_fwd | BatchNorm | 13.67 | 3.33 | 10.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
143 | mobilenetv21_features_linearbottleneck16_relu60_relu6 | clip | 14.67 | 2.00 | 12.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
144 | mobilenetv21_features_linearbottleneck16_conv1_fwd | Convolution | 900.00 | 4.00 | 896.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
145 | mobilenetv21_features_linearbottleneck16_batchnorm1_fwd | BatchNorm | 16.67 | 3.33 | 13.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
146 | mobilenetv21_features_linearbottleneck16_relu61_relu6 | clip | 13.00 | 2.33 | 10.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
147 | mobilenetv21_features_linearbottleneck16_conv2_fwd | Convolution | 1393.33 | 44.33 | 1349.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
148 | mobilenetv21_features_linearbottleneck16_batchnorm2_fwd | BatchNorm | 14.00 | 2.33 | 11.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
149 | mobilenetv21_features_conv1_fwd | Convolution | 2415.33 | 23.33 | 2392.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
150 | mobilenetv21_features_batchnorm1_fwd | BatchNorm | 81.00 | 4.00 | 77.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
151 | mobilenetv21_features_relu61_relu6 | clip | 28.00 | 2.33 | 25.67 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
152 | mobilenetv21_features_pool0_fwd | Pooling | 106.67 | 6.33 | 100.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
153 | mobilenetv21_output_pred_fwd | Convolution | 2397.33 | 76.00 | 2321.33 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
154 | mobilenetv21_output_flatten0_flatten0 | Flatten | 2.00 | 0.00 | 2.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | true |
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