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GPU Kernel Information Aggregated by Layer

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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

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	mobilenetv23_features_batchnorm0_fwd	BatchNorm	97.33	9.00	88.33	606208	416.00	1194.67	23.80	376.37	67.36	false
2	mobilenetv23_features_relu60_relu6	clip	52.67	4.00	48.67	0	256.00	13994.67	38.20	0.00	0.00	true
3	mobilenetv23_features_linearbottleneck0_conv0_fwd	Convolution	474.00	7.67	466.33	6522880	256.00	0.00	12.60	25480.00	850.77	false
4	mobilenetv23_features_linearbottleneck0_batchnorm0_fwd	BatchNorm	28.33	9.00	19.33	606208	256.00	0.00	23.80	2368.00	67.36	false
5	mobilenetv23_features_linearbottleneck0_relu60_relu6	clip	53.33	4.00	49.33	0	0.00	0.00	38.20	0.00	0.00	true
6	mobilenetv23_features_linearbottleneck0_conv1_fwd	Convolution	1513.33	128.00	1385.33	247386112	917.33	0.00	13.17	269681.20	1932.70	false
7	mobilenetv23_features_linearbottleneck0_batchnorm1_fwd	BatchNorm	32.67	9.33	23.33	606208	256.00	128.00	23.70	1578.67	64.95	false
8	mobilenetv23_features_linearbottleneck0_relu61_relu6	clip	41.00	4.00	37.00	0	0.00	0.00	38.20	0.00	0.00	true
9	mobilenetv23_features_linearbottleneck0_conv2_fwd	Convolution	271.33	7.00	264.33	6472704	128.00	0.00	12.80	50568.00	924.67	false
10	mobilenetv23_features_linearbottleneck0_batchnorm2_fwd	BatchNorm	19.33	9.00	10.33	303104	256.00	0.00	23.80	1184.00	33.68	false
11	mobilenetv23_features_linearbottleneck1_conv0_fwd	Convolution	855.67	15.33	840.33	14450688	2176.00	2346.67	7.63	3195.17	942.46	false
12	mobilenetv23_features_linearbottleneck1_batchnorm0_fwd	BatchNorm	71.67	9.33	62.33	1818624	512.00	241109.33	23.80	7.53	194.86	true
13	mobilenetv23_features_linearbottleneck1_relu60_relu6	clip	146.00	5.33	140.67	0	0.00	114997.33	37.60	0.00	0.00	true
14	mobilenetv23_features_linearbottleneck1_conv1_fwd	Convolution	1172.00	6.00	1166.00	1413936	1120.00	384.00	47.20	940.12	235.66	false
15	mobilenetv23_features_linearbottleneck1_batchnorm1_fwd	BatchNorm	26.33	5.00	21.33	463872	512.00	938.67	22.70	319.76	92.77	false
16	mobilenetv23_features_linearbottleneck1_relu61_relu6	clip	50.67	4.00	46.67	0	0.00	0.00	32.10	0.00	0.00	true
17	mobilenetv23_features_linearbottleneck1_conv2_fwd	Convolution	243.67	8.00	235.67	4835712	1173.33	533.33	3.70	2833.43	604.46	false
18	mobilenetv23_features_linearbottleneck1_batchnorm2_fwd	BatchNorm	14.00	5.67	8.33	115968	256.00	0.00	22.70	453.00	20.46	false
19	mobilenetv23_features_linearbottleneck2_conv0_fwd	Convolution	524.00	8.00	516.00	2521344	896.00	42.67	7.10	2686.09	315.17	false
20	mobilenetv23_features_linearbottleneck2_batchnorm0_fwd	BatchNorm	40.00	5.00	35.00	695808	768.00	208832.00	22.70	3.32	139.16	true
21	mobilenetv23_features_linearbottleneck2_relu60_relu6	clip	82.33	4.00	78.33	0	85.33	240586.67	38.10	0.00	0.00	true
22	mobilenetv23_features_linearbottleneck2_conv1_fwd	Convolution	1790.67	10.00	1780.67	2370816	1344.00	0.00	12.20	1764.00	237.08	false
23	mobilenetv23_features_linearbottleneck2_batchnorm1_fwd	BatchNorm	109.67	5.00	104.67	695808	768.00	128.00	22.70	776.57	139.16	false
24	mobilenetv23_features_linearbottleneck2_relu61_relu6	clip	90.00	4.00	86.00	0	0.00	0.00	34.70	0.00	0.00	true
25	mobilenetv23_features_linearbottleneck2_conv2_fwd	Convolution	377.00	9.00	368.00	8046976	896.00	458.67	3.70	5940.19	894.11	false
26	mobilenetv23_features_linearbottleneck2_batchnorm2_fwd	BatchNorm	16.00	5.00	11.00	115968	256.00	0.00	22.70	453.00	23.19	false
27	mobilenetv23_features_linearbottleneck2_elemwise_add0	elemwise_add	12.00	3.00	9.00	18816	768.00	42.67	12.10	23.21	6.27	false
28	mobilenetv23_features_linearbottleneck3_conv0_fwd	Convolution	552.00	7.67	544.33	2521344	896.00	373.33	7.10	1986.35	328.86	false
29	mobilenetv23_features_linearbottleneck3_batchnorm0_fwd	BatchNorm	31.33	5.33	26.00	695808	768.00	170.67	22.70	741.27	130.47	false
30	mobilenetv23_features_linearbottleneck3_relu60_relu6	clip	109.33	4.00	105.33	0	0.00	55530.67	37.70	0.00	0.00	true
31	mobilenetv23_features_linearbottleneck3_conv1_fwd	Convolution	465.67	5.33	460.33	524232	1344.00	24832.00	46.50	20.03	98.30	false
32	mobilenetv23_features_linearbottleneck3_batchnorm1_fwd	BatchNorm	15.00	5.00	10.00	178560	768.00	0.00	11.30	232.50	35.71	false
33	mobilenetv23_features_linearbottleneck3_relu61_relu6	clip	31.00	3.00	28.00	0	0.00	74.67	16.00	0.00	0.00	true
34	mobilenetv23_features_linearbottleneck3_conv2_fwd	Convolution	127.00	8.00	119.00	2054272	1152.00	14197.33	3.00	133.83	256.78	false
35	mobilenetv23_features_linearbottleneck3_batchnorm2_fwd	BatchNorm	13.00	4.33	8.67	39680	256.00	24106.67	11.30	1.63	9.16	true
36	mobilenetv23_features_linearbottleneck4_conv0_fwd	Convolution	84.67	6.33	78.33	856832	1536.00	12576.00	3.10	60.72	135.30	false
37	mobilenetv23_features_linearbottleneck4_batchnorm0_fwd	BatchNorm	20.33	5.00	15.33	238080	768.00	85.33	11.30	279.00	47.62	false
38	mobilenetv23_features_linearbottleneck4_relu60_relu6	clip	30.67	3.33	27.33	0	0.00	0.00	20.40	0.00	0.00	true
39	mobilenetv23_features_linearbottleneck4_conv1_fwd	Convolution	592.00	6.00	586.00	790272	1728.00	42.67	11.70	446.31	131.71	false
40	mobilenetv23_features_linearbottleneck4_batchnorm1_fwd	BatchNorm	17.33	4.33	13.00	238080	768.00	0.00	11.30	310.00	54.95	false
41	mobilenetv23_features_linearbottleneck4_relu61_relu6	clip	39.33	3.33	36.00	0	0.00	85.33	20.10	0.00	0.00	true
42	mobilenetv23_features_linearbottleneck4_conv2_fwd	Convolution	70.33	8.67	61.67	2463872	1536.00	0.00	3.00	1604.08	284.28	false
43	mobilenetv23_features_linearbottleneck4_batchnorm2_fwd	BatchNorm	13.67	4.67	9.00	39680	256.00	12842.67	11.30	3.03	8.50	true
44	mobilenetv23_features_linearbottleneck4_elemwise_add0	elemwise_add	8.67	3.33	5.33	6272	1962.67	12288.00	12.10	0.44	1.88	true
45	mobilenetv23_features_linearbottleneck5_conv0_fwd	Convolution	83.00	6.00	77.00	856832	1536.00	458.67	3.10	429.56	142.81	false
46	mobilenetv23_features_linearbottleneck5_batchnorm0_fwd	BatchNorm	19.33	5.00	14.33	238080	768.00	0.00	11.30	310.00	47.62	false
47	mobilenetv23_features_linearbottleneck5_relu60_relu6	clip	32.33	3.67	28.67	0	0.00	42.67	20.30	0.00	0.00	true
48	mobilenetv23_features_linearbottleneck5_conv1_fwd	Convolution	597.67	6.00	591.67	790272	1728.00	0.00	11.70	457.33	131.71	false
49	mobilenetv23_features_linearbottleneck5_batchnorm1_fwd	BatchNorm	18.00	4.00	14.00	238080	768.00	85.33	11.30	279.00	59.52	false
50	mobilenetv23_features_linearbottleneck5_relu61_relu6	clip	39.33	3.67	35.67	0	0.00	0.00	20.10	0.00	0.00	true
51	mobilenetv23_features_linearbottleneck5_conv2_fwd	Convolution	69.67	8.67	61.00	2463872	1536.00	85.33	3.00	1519.66	284.28	false
52	mobilenetv23_features_linearbottleneck5_batchnorm2_fwd	BatchNorm	11.00	4.67	6.33	39680	256.00	0.00	11.30	155.00	8.50	false
53	mobilenetv23_features_linearbottleneck5_elemwise_add0	elemwise_add	8.67	3.00	5.67	6272	0.00	85.33	12.10	73.50	2.09	false
54	mobilenetv23_features_linearbottleneck6_conv0_fwd	Convolution	77.00	6.33	70.67	856832	1536.00	373.33	3.10	448.76	135.30	false
55	mobilenetv23_features_linearbottleneck6_batchnorm0_fwd	BatchNorm	17.67	4.33	13.33	238080	768.00	64.00	11.30	286.15	54.95	false
56	mobilenetv23_features_linearbottleneck6_relu60_relu6	clip	38.67	3.33	35.33	0	0.00	0.00	20.30	0.00	0.00	true
57	mobilenetv23_features_linearbottleneck6_conv1_fwd	Convolution	187.67	6.00	181.67	170784	1728.00	768.00	44.90	68.42	28.46	false
58	mobilenetv23_features_linearbottleneck6_batchnorm1_fwd	BatchNorm	13.00	4.00	9.00	59520	768.00	11861.33	3.00	4.71	14.88	true
59	mobilenetv23_features_linearbottleneck6_relu61_relu6	clip	12.33	3.00	9.33	0	0.00	64.00	12.10	0.00	0.00	true
60	mobilenetv23_features_linearbottleneck6_conv2_fwd	Convolution	32.33	8.33	24.00	691264	3072.00	0.00	3.10	225.02	82.95	false
61	mobilenetv23_features_linearbottleneck6_batchnorm2_fwd	BatchNorm	10.33	4.67	5.67	19840	256.00	85.33	3.00	58.13	4.25	false
62	mobilenetv23_features_linearbottleneck7_conv0_fwd	Convolution	64.00	6.67	57.33	706944	6144.00	373.33	3.10	108.47	106.04	false
63	mobilenetv23_features_linearbottleneck7_batchnorm0_fwd	BatchNorm	15.33	4.33	11.00	119040	1536.00	85.33	3.60	73.42	27.47	false
64	mobilenetv23_features_linearbottleneck7_relu60_relu6	clip	19.33	3.00	16.33	0	0.00	0.00	12.10	0.00	0.00	true
65	mobilenetv23_features_linearbottleneck7_conv1_fwd	Convolution	329.33	5.00	324.33	326016	3456.00	85.33	46.50	92.06	65.20	false
66	mobilenetv23_features_linearbottleneck7_batchnorm1_fwd	BatchNorm	17.00	4.33	12.67	119040	1536.00	0.00	3.60	77.50	27.47	false
67	mobilenetv23_features_linearbottleneck7_relu61_relu6	clip	22.33	4.00	18.33	0	0.00	64.00	12.10	0.00	0.00	true
68	mobilenetv23_features_linearbottleneck7_conv2_fwd	Convolution	59.33	11.00	48.33	1379392	6144.00	0.00	3.10	224.51	125.40	false
69	mobilenetv23_features_linearbottleneck7_batchnorm2_fwd	BatchNorm	10.33	4.33	6.00	19840	256.00	85.33	3.00	58.13	4.58	false
70	mobilenetv23_features_linearbottleneck7_elemwise_add0	elemwise_add	7.67	3.00	4.67	3136	0.00	0.00	12.10	0.00	1.05	true
71	mobilenetv23_features_linearbottleneck8_conv0_fwd	Convolution	61.67	7.00	54.67	706944	6144.00	416.00	3.10	107.77	100.99	false
72	mobilenetv23_features_linearbottleneck8_batchnorm0_fwd	BatchNorm	14.67	5.00	9.67	119040	1536.00	0.00	3.60	77.50	23.81	false
73	mobilenetv23_features_linearbottleneck8_relu60_relu6	clip	18.67	3.33	15.33	0	0.00	85.33	12.10	0.00	0.00	true
74	mobilenetv23_features_linearbottleneck8_conv1_fwd	Convolution	325.67	5.00	320.67	326016	3456.00	128.00	46.50	90.96	65.20	false
75	mobilenetv23_features_linearbottleneck8_batchnorm1_fwd	BatchNorm	16.33	4.00	12.33	119040	1536.00	64.00	3.60	74.40	29.76	false
76	mobilenetv23_features_linearbottleneck8_relu61_relu6	clip	21.33	3.00	18.33	0	0.00	0.00	12.10	0.00	0.00	true
77	mobilenetv23_features_linearbottleneck8_conv2_fwd	Convolution	59.00	11.00	48.00	1379392	6144.00	85.33	3.10	221.43	125.40	false
78	mobilenetv23_features_linearbottleneck8_batchnorm2_fwd	BatchNorm	10.00	4.00	6.00	19840	256.00	0.00	3.00	77.50	4.96	false
79	mobilenetv23_features_linearbottleneck8_elemwise_add0	elemwise_add	8.00	3.33	4.67	3136	0.00	42.67	12.10	73.50	0.94	false
80	mobilenetv23_features_linearbottleneck9_conv0_fwd	Convolution	61.00	6.33	54.67	706944	6144.00	373.33	3.10	108.47	111.63	false
81	mobilenetv23_features_linearbottleneck9_batchnorm0_fwd	BatchNorm	14.33	4.00	10.33	119040	1536.00	85.33	3.60	73.42	29.76	false
82	mobilenetv23_features_linearbottleneck9_relu60_relu6	clip	18.67	3.00	15.67	0	0.00	0.00	12.10	0.00	0.00	true
83	mobilenetv23_features_linearbottleneck9_conv1_fwd	Convolution	325.00	5.00	320.00	326016	3456.00	64.00	46.50	92.62	65.20	false
84	mobilenetv23_features_linearbottleneck9_batchnorm1_fwd	BatchNorm	15.67	5.00	10.67	119040	1536.00	0.00	3.60	77.50	23.81	false
85	mobilenetv23_features_linearbottleneck9_relu61_relu6	clip	21.00	3.00	18.00	0	0.00	85.33	12.10	0.00	0.00	true
86	mobilenetv23_features_linearbottleneck9_conv2_fwd	Convolution	58.67	11.00	47.67	1379392	6144.00	0.00	3.10	224.51	125.40	false
87	mobilenetv23_features_linearbottleneck9_batchnorm2_fwd	BatchNorm	10.00	4.00	6.00	19840	256.00	64.00	3.00	62.00	4.96	false
88	mobilenetv23_features_linearbottleneck9_elemwise_add0	elemwise_add	7.67	3.00	4.67	3136	0.00	0.00	12.10	0.00	1.05	true
89	mobilenetv23_features_linearbottleneck10_conv0_fwd	Convolution	61.33	7.00	54.33	706944	6144.00	458.67	3.10	107.07	100.99	false
90	mobilenetv23_features_linearbottleneck10_batchnorm0_fwd	BatchNorm	14.00	4.67	9.33	119040	1536.00	0.00	3.60	77.50	25.51	false
91	mobilenetv23_features_linearbottleneck10_relu60_relu6	clip	19.67	3.00	16.67	0	0.00	64.00	12.10	0.00	0.00	true
92	mobilenetv23_features_linearbottleneck10_conv1_fwd	Convolution	326.33	5.00	321.33	326016	3456.00	0.00	46.50	94.33	65.20	false
93	mobilenetv23_features_linearbottleneck10_batchnorm1_fwd	BatchNorm	14.00	4.67	9.33	119040	1536.00	85.33	3.60	73.42	25.51	false
94	mobilenetv23_features_linearbottleneck10_relu61_relu6	clip	20.00	3.00	17.00	0	0.00	0.00	12.10	0.00	0.00	true
95	mobilenetv23_features_linearbottleneck10_conv2_fwd	Convolution	77.00	11.33	65.67	1380960	9216.00	42.67	3.10	149.15	121.85	false
96	mobilenetv23_features_linearbottleneck10_batchnorm2_fwd	BatchNorm	10.00	5.00	5.00	29760	512.00	0.00	3.00	58.12	5.95	false
97	mobilenetv23_features_linearbottleneck11_conv0_fwd	Convolution	114.67	7.67	107.00	1748544	13824.00	458.67	3.10	122.42	228.06	false
98	mobilenetv23_features_linearbottleneck11_batchnorm0_fwd	BatchNorm	17.67	4.67	13.00	178560	2304.00	0.00	5.20	77.50	38.26	false
99	mobilenetv23_features_linearbottleneck11_relu60_relu6	clip	24.00	3.67	20.33	0	0.00	64.00	16.00	0.00	0.00	true
100	mobilenetv23_features_linearbottleneck11_conv1_fwd	Convolution	496.00	5.00	491.00	489024	5184.00	0.00	46.80	94.33	97.80	false
101	mobilenetv23_features_linearbottleneck11_batchnorm1_fwd	BatchNorm	17.67	4.33	13.33	178560	2304.00	85.33	5.20	74.73	41.21	false
102	mobilenetv23_features_linearbottleneck11_relu61_relu6	clip	35.33	3.67	31.67	0	0.00	0.00	16.00	0.00	0.00	true
103	mobilenetv23_features_linearbottleneck11_conv2_fwd	Convolution	113.33	14.00	99.33	2069088	13824.00	42.67	3.10	149.21	147.79	false
104	mobilenetv23_features_linearbottleneck11_batchnorm2_fwd	BatchNorm	10.67	4.67	6.00	29760	512.00	0.00	3.00	58.12	6.38	false
105	mobilenetv23_features_linearbottleneck11_elemwise_add0	elemwise_add	8.00	3.00	5.00	4704	0.00	85.33	12.10	55.13	1.57	false
106	mobilenetv23_features_linearbottleneck12_conv0_fwd	Convolution	121.00	7.00	114.00	1748544	13824.00	373.33	3.10	123.16	249.79	false
107	mobilenetv23_features_linearbottleneck12_batchnorm0_fwd	BatchNorm	16.67	4.67	12.00	178560	2304.00	64.00	5.30	75.41	38.26	false
108	mobilenetv23_features_linearbottleneck12_relu60_relu6	clip	28.00	3.67	24.33	0	0.00	0.00	16.10	0.00	0.00	true
109	mobilenetv23_features_linearbottleneck12_conv1_fwd	Convolution	497.00	5.00	492.00	489024	5184.00	85.33	46.80	92.81	97.80	false
110	mobilenetv23_features_linearbottleneck12_batchnorm1_fwd	BatchNorm	23.00	5.00	18.00	178560	2304.00	0.00	5.20	77.50	35.71	false
111	mobilenetv23_features_linearbottleneck12_relu61_relu6	clip	29.33	3.33	26.00	0	0.00	64.00	16.00	0.00	0.00	true
112	mobilenetv23_features_linearbottleneck12_conv2_fwd	Convolution	122.67	14.00	108.67	2069088	13824.00	0.00	3.10	149.67	147.79	false
113	mobilenetv23_features_linearbottleneck12_batchnorm2_fwd	BatchNorm	10.67	4.33	6.33	29760	512.00	85.33	3.00	49.82	6.87	false
114	mobilenetv23_features_linearbottleneck12_elemwise_add0	elemwise_add	7.67	3.00	4.67	4704	426.67	0.00	12.10	11.02	1.57	true
115	mobilenetv23_features_linearbottleneck13_conv0_fwd	Convolution	114.67	7.00	107.67	1748544	13824.00	416.00	3.10	122.79	249.79	false
116	mobilenetv23_features_linearbottleneck13_batchnorm0_fwd	BatchNorm	17.00	5.00	12.00	178560	2304.00	0.00	5.20	77.50	35.71	false
117	mobilenetv23_features_linearbottleneck13_relu60_relu6	clip	24.67	3.00	21.67	0	0.00	85.33	16.00	0.00	0.00	true
118	mobilenetv23_features_linearbottleneck13_conv1_fwd	Convolution	169.67	5.67	164.00	122256	5184.00	21.33	46.20	23.49	21.57	false
119	mobilenetv23_features_linearbottleneck13_batchnorm1_fwd	BatchNorm	12.00	4.00	8.00	49392	2304.00	85.33	5.30	20.67	12.35	false
120	mobilenetv23_features_linearbottleneck13_relu61_relu6	clip	10.00	3.00	7.00	0	0.00	21.33	12.20	0.00	0.00	true
121	mobilenetv23_features_linearbottleneck13_conv2_fwd	Convolution	60.00	14.00	46.00	1181608	23040.00	85.33	3.10	51.10	84.40	false
122	mobilenetv23_features_linearbottleneck13_batchnorm2_fwd	BatchNorm	10.67	4.00	6.67	13720	768.00	21.33	3.10	17.38	3.43	true
123	mobilenetv23_features_linearbottleneck14_conv0_fwd	Convolution	82.67	8.00	74.67	1322480	38400.00	437.33	3.10	34.05	165.31	false
124	mobilenetv23_features_linearbottleneck14_batchnorm0_fwd	BatchNorm	14.33	4.00	10.33	82320	3840.00	7872.00	8.30	7.03	20.58	true
125	mobilenetv23_features_linearbottleneck14_relu60_relu6	clip	14.33	3.00	11.33	0	0.00	1728.00	12.20	0.00	0.00	true
126	mobilenetv23_features_linearbottleneck14_conv1_fwd	Convolution	268.00	5.00	263.00	185040	8640.00	21.33	46.20	21.36	37.01	false
127	mobilenetv23_features_linearbottleneck14_batchnorm1_fwd	BatchNorm	13.33	4.00	9.33	82320	3840.00	85.33	8.20	20.97	20.58	false
128	mobilenetv23_features_linearbottleneck14_relu61_relu6	clip	16.00	3.00	13.00	0	0.00	21.33	12.20	0.00	0.00	true
129	mobilenetv23_features_linearbottleneck14_conv2_fwd	Convolution	90.00	20.00	70.00	1968040	38528.00	85.33	3.10	50.97	98.40	false
130	mobilenetv23_features_linearbottleneck14_batchnorm2_fwd	BatchNorm	10.67	4.00	6.67	13720	768.00	21.33	3.10	17.38	3.43	true
131	mobilenetv23_features_linearbottleneck14_elemwise_add0	elemwise_add	7.33	3.00	4.33	1960	0.00	42.67	12.20	45.94	0.65	false
132	mobilenetv23_features_linearbottleneck15_conv0_fwd	Convolution	82.33	8.33	74.00	1322480	38400.00	394.67	3.10	34.09	158.70	false
133	mobilenetv23_features_linearbottleneck15_batchnorm0_fwd	BatchNorm	14.33	4.00	10.33	82320	3840.00	18453.33	8.30	3.69	20.58	true
134	mobilenetv23_features_linearbottleneck15_relu60_relu6	clip	12.67	3.33	9.33	0	0.00	3541.33	12.20	0.00	0.00	true
135	mobilenetv23_features_linearbottleneck15_conv1_fwd	Convolution	262.00	5.00	257.00	185040	8640.00	85.33	46.10	21.21	37.01	false
136	mobilenetv23_features_linearbottleneck15_batchnorm1_fwd	BatchNorm	13.33	4.00	9.33	82320	3840.00	0.00	8.10	21.44	20.58	false
137	mobilenetv23_features_linearbottleneck15_relu61_relu6	clip	14.67	3.67	11.00	0	0.00	42.67	12.20	0.00	0.00	true
138	mobilenetv23_features_linearbottleneck15_conv2_fwd	Convolution	82.67	20.00	62.67	1968040	38400.00	394.67	3.10	50.73	98.40	false
139	mobilenetv23_features_linearbottleneck15_batchnorm2_fwd	BatchNorm	10.67	4.00	6.67	13720	768.00	42.67	3.10	16.92	3.43	true
140	mobilenetv23_features_linearbottleneck15_elemwise_add0	elemwise_add	7.00	3.00	4.00	1960	0.00	0.00	12.10	0.00	0.65	true
141	mobilenetv23_features_linearbottleneck16_conv0_fwd	Convolution	82.00	9.00	73.00	1322480	38400.00	42.67	3.10	34.40	146.94	false
142	mobilenetv23_features_linearbottleneck16_batchnorm0_fwd	BatchNorm	13.00	4.33	8.67	82320	3840.00	21.33	8.20	21.32	19.00	false
143	mobilenetv23_features_linearbottleneck16_relu60_relu6	clip	13.00	3.00	10.00	0	0.00	42.67	12.20	0.00	0.00	true
144	mobilenetv23_features_linearbottleneck16_conv1_fwd	Convolution	261.33	5.33	256.00	185040	8640.00	0.00	46.20	21.42	34.70	false
145	mobilenetv23_features_linearbottleneck16_batchnorm1_fwd	BatchNorm	13.00	4.00	9.00	82320	3840.00	42.67	8.20	21.20	20.58	false
146	mobilenetv23_features_linearbottleneck16_relu61_relu6	clip	12.33	3.33	9.00	0	0.00	21.33	12.10	0.00	0.00	true
147	mobilenetv23_features_linearbottleneck16_conv2_fwd	Convolution	154.67	20.00	134.67	2953040	76800.00	42.67	3.10	38.43	147.65	false
148	mobilenetv23_features_linearbottleneck16_batchnorm2_fwd	BatchNorm	11.33	4.00	7.33	27440	1280.00	0.00	3.10	21.44	6.86	false
149	mobilenetv23_features_conv1_fwd	Convolution	701.00	11.33	689.67	13169920	409600.00	416.00	3.10	32.12	1162.09	false
150	mobilenetv23_features_batchnorm1_fwd	BatchNorm	28.67	6.00	22.67	439040	20480.00	21.33	18.50	21.42	73.17	false
151	mobilenetv23_features_relu61_relu6	clip	40.00	3.33	36.67	0	0.00	64.00	29.50	0.00	0.00	true
152	mobilenetv23_features_pool0_fwd	Pooling	96.33	7.67	88.67	84625	938.67	0.00	12.10	90.15	11.04	false
153	mobilenetv23_output_pred_fwd	Convolution	2202.00	89.67	2112.33	83887080	5120234.67	2238442.67	3.10	11.40	935.54	true
154	mobilenetv23_output_flatten0_flatten0	Flatten	4.00	0.00	4.00	0	0.00	0.00	0.00	0.00	0.00	true

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