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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_achieved_occupancy (%)	layer_arithmetic_throughput (GFlops)	layer_memory_bound
1	mobilenetv22_features_batchnorm0_fwd	BatchNorm	116.67	12.00	104.67	1212416	24.10	101.03	true
2	mobilenetv22_features_relu60_relu6	clip	79.33	9.00	70.33	0	77.10	0.00	true
3	mobilenetv22_features_linearbottleneck0_conv0_fwd	Convolution	1691.00	29.67	1661.33	13647872	24.84	460.04	true
4	mobilenetv22_features_linearbottleneck0_batchnorm0_fwd	BatchNorm	76.00	12.00	64.00	1212416	24.10	101.03	true
5	mobilenetv22_features_linearbottleneck0_relu60_relu6	clip	71.00	8.00	63.00	0	77.30	0.00	true
6	mobilenetv22_features_linearbottleneck0_conv1_fwd	Convolution	3001.67	368.00	2633.67	166985728	25.21	453.77	true
7	mobilenetv22_features_linearbottleneck0_batchnorm1_fwd	BatchNorm	280.67	18.00	262.67	1212416	23.90	67.36	true
8	mobilenetv22_features_linearbottleneck0_relu61_relu6	clip	76.00	8.33	67.67	0	77.60	0.00	true
9	mobilenetv22_features_linearbottleneck0_conv2_fwd	Convolution	840.33	23.00	817.33	13647872	24.83	593.39	true
10	mobilenetv22_features_linearbottleneck0_batchnorm2_fwd	BatchNorm	22.67	12.00	10.67	606208	24.10	50.52	true
11	mobilenetv22_features_linearbottleneck1_conv0_fwd	Convolution	1785.00	42.00	1743.00	14450688	21.69	344.06	true
12	mobilenetv22_features_linearbottleneck1_batchnorm0_fwd	BatchNorm	110.33	47.33	63.00	3637248	70.30	76.84	true
13	mobilenetv22_features_linearbottleneck1_relu60_relu6	clip	312.67	37.67	275.00	0	83.30	0.00	true
14	mobilenetv22_features_linearbottleneck1_conv1_fwd	Convolution	2314.33	624.00	1690.33	127795200	9.81	204.80	true
15	mobilenetv22_features_linearbottleneck1_batchnorm1_fwd	BatchNorm	104.33	11.00	93.33	927744	68.30	84.34	true
16	mobilenetv22_features_linearbottleneck1_relu61_relu6	clip	104.67	7.00	97.67	0	76.80	0.00	true
17	mobilenetv22_features_linearbottleneck1_conv2_fwd	Convolution	311.00	22.00	289.00	10035200	9.76	456.15	true
18	mobilenetv22_features_linearbottleneck1_batchnorm2_fwd	BatchNorm	15.33	6.00	9.33	231936	22.90	38.66	true
19	mobilenetv22_features_linearbottleneck2_conv0_fwd	Convolution	960.33	16.00	944.33	7987200	23.56	499.20	true
20	mobilenetv22_features_linearbottleneck2_batchnorm0_fwd	BatchNorm	40.67	12.00	28.67	1391616	85.60	115.97	true
21	mobilenetv22_features_linearbottleneck2_relu60_relu6	clip	116.33	9.00	107.33	0	78.60	0.00	true
22	mobilenetv22_features_linearbottleneck2_conv1_fwd	Convolution	3408.33	1224.00	2184.33	628641792	17.35	513.60	true
23	mobilenetv22_features_linearbottleneck2_batchnorm1_fwd	BatchNorm	112.33	13.00	99.33	1391616	88.40	107.05	true
24	mobilenetv22_features_linearbottleneck2_relu61_relu6	clip	118.00	10.00	108.00	0	78.60	0.00	true
25	mobilenetv22_features_linearbottleneck2_conv2_fwd	Convolution	734.00	24.33	709.67	14950400	9.85	614.41	true
26	mobilenetv22_features_linearbottleneck2_batchnorm2_fwd	BatchNorm	15.00	6.00	9.00	231936	22.90	38.66	true
27	mobilenetv22_features_linearbottleneck2_elemwise_add0	elemwise_add	13.67	4.67	9.00	37632	76.00	8.06	true
28	mobilenetv22_features_linearbottleneck3_conv0_fwd	Convolution	942.33	16.00	926.33	7987200	23.15	499.20	true
29	mobilenetv22_features_linearbottleneck3_batchnorm0_fwd	BatchNorm	36.00	12.00	24.00	1391616	87.50	115.97	true
30	mobilenetv22_features_linearbottleneck3_relu60_relu6	clip	117.67	10.00	107.67	0	78.80	0.00	true
31	mobilenetv22_features_linearbottleneck3_conv1_fwd	Convolution	936.67	864.00	72.67	53673984	6.10	62.12	true
32	mobilenetv22_features_linearbottleneck3_batchnorm1_fwd	BatchNorm	16.00	6.00	10.00	357120	49.60	59.52	true
33	mobilenetv22_features_linearbottleneck3_relu61_relu6	clip	43.67	4.00	39.67	0	74.60	0.00	true
34	mobilenetv22_features_linearbottleneck3_conv2_fwd	Convolution	246.67	21.00	225.67	4186112	6.14	199.34	true
35	mobilenetv22_features_linearbottleneck3_batchnorm2_fwd	BatchNorm	12.00	5.00	7.00	79360	11.10	15.87	true
36	mobilenetv22_features_linearbottleneck4_conv0_fwd	Convolution	197.00	13.00	184.00	2924544	7.72	224.96	true
37	mobilenetv22_features_linearbottleneck4_batchnorm0_fwd	BatchNorm	22.00	6.00	16.00	476160	63.90	79.36	true
38	mobilenetv22_features_linearbottleneck4_relu60_relu6	clip	36.67	5.00	31.67	0	71.60	0.00	true
39	mobilenetv22_features_linearbottleneck4_conv1_fwd	Convolution	1177.67	1344.00	-166.33	240500736	10.19	178.94	true
40	mobilenetv22_features_linearbottleneck4_batchnorm1_fwd	BatchNorm	40.67	6.00	34.67	476160	63.90	79.36	true
41	mobilenetv22_features_linearbottleneck4_relu61_relu6	clip	53.67	5.00	48.67	0	71.20	0.00	true
42	mobilenetv22_features_linearbottleneck4_conv2_fwd	Convolution	211.33	27.00	184.33	5562368	6.16	206.01	true
43	mobilenetv22_features_linearbottleneck4_batchnorm2_fwd	BatchNorm	12.67	5.00	7.67	79360	11.10	15.87	true
44	mobilenetv22_features_linearbottleneck4_elemwise_add0	elemwise_add	8.67	3.67	5.00	12544	34.70	3.42	true
45	mobilenetv22_features_linearbottleneck5_conv0_fwd	Convolution	215.33	13.00	202.33	2924544	7.72	224.96	true
46	mobilenetv22_features_linearbottleneck5_batchnorm0_fwd	BatchNorm	18.67	6.00	12.67	476160	64.00	79.36	true
47	mobilenetv22_features_linearbottleneck5_relu60_relu6	clip	42.33	5.00	37.33	0	71.70	0.00	true
48	mobilenetv22_features_linearbottleneck5_conv1_fwd	Convolution	1170.00	1344.00	-174.00	240500736	10.19	178.94	true
49	mobilenetv22_features_linearbottleneck5_batchnorm1_fwd	BatchNorm	26.67	6.00	20.67	476160	64.00	79.36	true
50	mobilenetv22_features_linearbottleneck5_relu61_relu6	clip	58.67	5.00	53.67	0	70.20	0.00	true
51	mobilenetv22_features_linearbottleneck5_conv2_fwd	Convolution	202.33	25.00	177.33	5562368	6.16	222.49	true
52	mobilenetv22_features_linearbottleneck5_batchnorm2_fwd	BatchNorm	11.67	5.00	6.67	79360	11.10	15.87	true
53	mobilenetv22_features_linearbottleneck5_elemwise_add0	elemwise_add	8.00	3.00	5.00	12544	34.40	4.18	true
54	mobilenetv22_features_linearbottleneck6_conv0_fwd	Convolution	195.00	13.00	182.00	2924544	7.72	224.96	true
55	mobilenetv22_features_linearbottleneck6_batchnorm0_fwd	BatchNorm	20.00	6.00	14.00	476160	64.00	79.36	true
56	mobilenetv22_features_linearbottleneck6_relu60_relu6	clip	39.67	5.00	34.67	0	71.30	0.00	true
57	mobilenetv22_features_linearbottleneck6_conv1_fwd	Convolution	343.33	1152.00	-808.67	20447232	6.05	17.75	true
58	mobilenetv22_features_linearbottleneck6_batchnorm1_fwd	BatchNorm	13.33	5.00	8.33	119040	16.70	23.81	true
59	mobilenetv22_features_linearbottleneck6_relu61_relu6	clip	14.00	3.00	11.00	0	49.90	0.00	true
60	mobilenetv22_features_linearbottleneck6_conv2_fwd	Convolution	93.33	24.00	69.33	1589248	6.14	66.22	true
61	mobilenetv22_features_linearbottleneck6_batchnorm2_fwd	BatchNorm	10.67	5.00	5.67	39680	5.80	7.94	true
62	mobilenetv22_features_linearbottleneck7_conv0_fwd	Convolution	177.33	28.00	149.33	3244032	6.14	115.86	true
63	mobilenetv22_features_linearbottleneck7_batchnorm0_fwd	BatchNorm	18.67	5.00	13.67	238080	31.40	47.62	true
64	mobilenetv22_features_linearbottleneck7_relu60_relu6	clip	22.67	4.00	18.67	0	69.20	0.00	true
65	mobilenetv22_features_linearbottleneck7_conv1_fwd	Convolution	648.33	2688.00	-2039.67	44077824	8.20	16.40	true
66	mobilenetv22_features_linearbottleneck7_batchnorm1_fwd	BatchNorm	17.67	5.00	12.67	238080	31.30	47.62	true
67	mobilenetv22_features_linearbottleneck7_relu61_relu6	clip	29.00	4.00	25.00	0	64.80	0.00	true
68	mobilenetv22_features_linearbottleneck7_conv2_fwd	Convolution	187.33	42.00	145.33	3162112	6.06	75.29	true
69	mobilenetv22_features_linearbottleneck7_batchnorm2_fwd	BatchNorm	11.33	5.00	6.33	39680	5.80	7.94	true
70	mobilenetv22_features_linearbottleneck7_elemwise_add0	elemwise_add	7.00	3.00	4.00	6272	18.60	2.09	true
71	mobilenetv22_features_linearbottleneck8_conv0_fwd	Convolution	179.33	22.00	157.33	3244032	6.12	147.46	true
72	mobilenetv22_features_linearbottleneck8_batchnorm0_fwd	BatchNorm	18.00	5.33	12.67	238080	31.30	44.64	true
73	mobilenetv22_features_linearbottleneck8_relu60_relu6	clip	22.00	4.00	18.00	0	69.10	0.00	true
74	mobilenetv22_features_linearbottleneck8_conv1_fwd	Convolution	651.00	2688.00	-2037.00	44077824	8.20	16.40	true
75	mobilenetv22_features_linearbottleneck8_batchnorm1_fwd	BatchNorm	18.67	6.00	12.67	238080	32.00	39.68	true
76	mobilenetv22_features_linearbottleneck8_relu61_relu6	clip	27.00	4.00	23.00	0	67.90	0.00	true
77	mobilenetv22_features_linearbottleneck8_conv2_fwd	Convolution	181.00	41.00	140.00	3162112	6.06	77.12	true
78	mobilenetv22_features_linearbottleneck8_batchnorm2_fwd	BatchNorm	10.33	5.00	5.33	39680	5.80	7.94	true
79	mobilenetv22_features_linearbottleneck8_elemwise_add0	elemwise_add	7.00	3.00	4.00	6272	18.30	2.09	true
80	mobilenetv22_features_linearbottleneck9_conv0_fwd	Convolution	178.67	21.33	157.33	3244032	6.12	152.07	true
81	mobilenetv22_features_linearbottleneck9_batchnorm0_fwd	BatchNorm	17.67	5.00	12.67	238080	31.50	47.62	true
82	mobilenetv22_features_linearbottleneck9_relu60_relu6	clip	24.00	4.00	20.00	0	67.80	0.00	true
83	mobilenetv22_features_linearbottleneck9_conv1_fwd	Convolution	644.67	2688.00	-2043.33	44077824	8.20	16.40	true
84	mobilenetv22_features_linearbottleneck9_batchnorm1_fwd	BatchNorm	21.00	6.00	15.00	238080	31.70	39.68	true
85	mobilenetv22_features_linearbottleneck9_relu61_relu6	clip	25.00	4.00	21.00	0	66.40	0.00	true
86	mobilenetv22_features_linearbottleneck9_conv2_fwd	Convolution	182.33	41.00	141.33	3162112	6.06	77.12	true
87	mobilenetv22_features_linearbottleneck9_batchnorm2_fwd	BatchNorm	11.00	5.00	6.00	39680	5.80	7.94	true
88	mobilenetv22_features_linearbottleneck9_elemwise_add0	elemwise_add	7.00	3.00	4.00	6272	18.30	2.09	true
89	mobilenetv22_features_linearbottleneck10_conv0_fwd	Convolution	184.33	21.67	162.67	3244032	6.12	149.72	true
90	mobilenetv22_features_linearbottleneck10_batchnorm0_fwd	BatchNorm	17.33	6.00	11.33	238080	32.20	39.68	true
91	mobilenetv22_features_linearbottleneck10_relu60_relu6	clip	24.67	4.00	20.67	0	68.20	0.00	true
92	mobilenetv22_features_linearbottleneck10_conv1_fwd	Convolution	641.67	2688.00	-2046.33	44077824	8.20	16.40	true
93	mobilenetv22_features_linearbottleneck10_batchnorm1_fwd	BatchNorm	14.00	6.00	8.00	238080	32.00	39.68	true
94	mobilenetv22_features_linearbottleneck10_relu61_relu6	clip	24.33	4.00	20.33	0	69.10	0.00	true
95	mobilenetv22_features_linearbottleneck10_conv2_fwd	Convolution	238.67	48.00	190.67	6324224	6.07	131.75	true
96	mobilenetv22_features_linearbottleneck10_batchnorm2_fwd	BatchNorm	11.67	5.00	6.67	59520	8.60	11.90	true
97	mobilenetv22_features_linearbottleneck11_conv0_fwd	Convolution	307.33	22.00	285.33	8028160	6.12	364.92	true
98	mobilenetv22_features_linearbottleneck11_batchnorm0_fwd	BatchNorm	18.67	6.00	12.67	357120	44.90	59.52	true
99	mobilenetv22_features_linearbottleneck11_relu60_relu6	clip	37.67	4.00	33.67	0	72.40	0.00	true
100	mobilenetv22_features_linearbottleneck11_conv1_fwd	Convolution	972.00	4032.00	-3060.00	183582720	10.19	45.53	true
101	mobilenetv22_features_linearbottleneck11_batchnorm1_fwd	BatchNorm	22.67	6.00	16.67	357120	45.20	59.52	true
102	mobilenetv22_features_linearbottleneck11_relu61_relu6	clip	38.00	4.00	34.00	0	72.70	0.00	true
103	mobilenetv22_features_linearbottleneck11_conv2_fwd	Convolution	354.33	68.33	286.00	9469952	6.06	138.59	true
104	mobilenetv22_features_linearbottleneck11_batchnorm2_fwd	BatchNorm	11.67	5.00	6.67	59520	8.60	11.90	true
105	mobilenetv22_features_linearbottleneck11_elemwise_add0	elemwise_add	7.33	3.00	4.33	9408	26.30	3.14	true
106	mobilenetv22_features_linearbottleneck12_conv0_fwd	Convolution	307.67	22.00	285.67	8028160	6.12	364.92	true
107	mobilenetv22_features_linearbottleneck12_batchnorm0_fwd	BatchNorm	18.00	6.00	12.00	357120	45.70	59.52	true
108	mobilenetv22_features_linearbottleneck12_relu60_relu6	clip	33.00	4.00	29.00	0	72.90	0.00	true
109	mobilenetv22_features_linearbottleneck12_conv1_fwd	Convolution	974.33	4032.00	-3057.67	183582720	10.19	45.53	true
110	mobilenetv22_features_linearbottleneck12_batchnorm1_fwd	BatchNorm	23.67	6.00	17.67	357120	44.90	59.52	true
111	mobilenetv22_features_linearbottleneck12_relu61_relu6	clip	32.33	4.00	28.33	0	72.80	0.00	true
112	mobilenetv22_features_linearbottleneck12_conv2_fwd	Convolution	354.33	68.33	286.00	9469952	6.07	138.59	true
113	mobilenetv22_features_linearbottleneck12_batchnorm2_fwd	BatchNorm	11.67	5.00	6.67	59520	8.60	11.90	true
114	mobilenetv22_features_linearbottleneck12_elemwise_add0	elemwise_add	7.33	3.00	4.33	9408	26.30	3.14	true
115	mobilenetv22_features_linearbottleneck13_conv0_fwd	Convolution	308.00	22.00	286.00	8028160	6.12	364.92	true
116	mobilenetv22_features_linearbottleneck13_batchnorm0_fwd	BatchNorm	18.00	6.00	12.00	357120	44.80	59.52	true
117	mobilenetv22_features_linearbottleneck13_relu60_relu6	clip	32.00	4.00	28.00	0	73.10	0.00	true
118	mobilenetv22_features_linearbottleneck13_conv1_fwd	Convolution	327.00	4032.00	-3705.00	18888480	5.05	4.68	true
119	mobilenetv22_features_linearbottleneck13_batchnorm1_fwd	BatchNorm	14.33	5.00	9.33	98784	43.30	19.76	true
120	mobilenetv22_features_linearbottleneck13_relu61_relu6	clip	10.67	3.00	7.67	0	39.00	0.00	true
121	mobilenetv22_features_linearbottleneck13_conv2_fwd	Convolution	174.33	61.00	113.33	3542864	3.10	58.08	true
122	mobilenetv22_features_linearbottleneck13_batchnorm2_fwd	BatchNorm	11.00	4.00	7.00	27440	14.50	6.86	true
123	mobilenetv22_features_linearbottleneck14_conv0_fwd	Convolution	263.00	19.00	244.00	4938720	5.90	259.93	true
124	mobilenetv22_features_linearbottleneck14_batchnorm0_fwd	BatchNorm	15.67	5.00	10.67	164640	62.90	32.93	true
125	mobilenetv22_features_linearbottleneck14_relu60_relu6	clip	16.33	3.67	12.67	0	59.90	0.00	true
126	mobilenetv22_features_linearbottleneck14_conv1_fwd	Convolution	522.33	6720.00	-6197.67	156549120	10.19	23.30	true
127	mobilenetv22_features_linearbottleneck14_batchnorm1_fwd	BatchNorm	14.67	5.00	9.67	164640	60.20	32.93	true
128	mobilenetv22_features_linearbottleneck14_relu61_relu6	clip	19.00	3.00	16.00	0	58.90	0.00	true
129	mobilenetv22_features_linearbottleneck14_conv2_fwd	Convolution	283.67	74.33	209.33	5902160	3.10	79.40	true
130	mobilenetv22_features_linearbottleneck14_batchnorm2_fwd	BatchNorm	10.67	4.00	6.67	27440	14.50	6.86	true
131	mobilenetv22_features_linearbottleneck14_elemwise_add0	elemwise_add	6.67	3.00	3.67	3920	12.00	1.31	true
132	mobilenetv22_features_linearbottleneck15_conv0_fwd	Convolution	260.67	19.00	241.67	4938720	5.90	259.93	true
133	mobilenetv22_features_linearbottleneck15_batchnorm0_fwd	BatchNorm	14.33	5.00	9.33	164640	61.50	32.93	true
134	mobilenetv22_features_linearbottleneck15_relu60_relu6	clip	17.00	3.00	14.00	0	60.60	0.00	true
135	mobilenetv22_features_linearbottleneck15_conv1_fwd	Convolution	511.00	6720.00	-6209.00	156549120	10.19	23.30	true
136	mobilenetv22_features_linearbottleneck15_batchnorm1_fwd	BatchNorm	16.00	5.00	11.00	164640	61.10	32.93	true
137	mobilenetv22_features_linearbottleneck15_relu61_relu6	clip	16.33	3.00	13.33	0	59.40	0.00	true
138	mobilenetv22_features_linearbottleneck15_conv2_fwd	Convolution	283.67	76.00	207.67	5902160	3.10	77.66	true
139	mobilenetv22_features_linearbottleneck15_batchnorm2_fwd	BatchNorm	10.67	4.00	6.67	27440	14.50	6.86	true
140	mobilenetv22_features_linearbottleneck15_elemwise_add0	elemwise_add	7.00	3.00	4.00	3920	12.00	1.31	true
141	mobilenetv22_features_linearbottleneck16_conv0_fwd	Convolution	262.67	19.00	243.67	4938720	5.90	259.93	true
142	mobilenetv22_features_linearbottleneck16_batchnorm0_fwd	BatchNorm	15.33	5.00	10.33	164640	60.90	32.93	true
143	mobilenetv22_features_linearbottleneck16_relu60_relu6	clip	14.33	3.00	11.33	0	60.60	0.00	true
144	mobilenetv22_features_linearbottleneck16_conv1_fwd	Convolution	511.33	6720.00	-6208.67	156549120	10.19	23.30	true
145	mobilenetv22_features_linearbottleneck16_batchnorm1_fwd	BatchNorm	16.00	5.00	11.00	164640	61.40	32.93	true
146	mobilenetv22_features_linearbottleneck16_relu61_relu6	clip	14.00	3.00	11.00	0	60.40	0.00	true
147	mobilenetv22_features_linearbottleneck16_conv2_fwd	Convolution	542.00	76.33	465.67	9838240	3.10	128.89	true
148	mobilenetv22_features_linearbottleneck16_batchnorm2_fwd	BatchNorm	10.33	4.00	6.33	54880	27.10	13.72	true
149	mobilenetv22_features_conv1_fwd	Convolution	1412.00	60.00	1352.00	52756480	11.97	879.27	true
150	mobilenetv22_features_batchnorm1_fwd	BatchNorm	35.67	9.00	26.67	439040	67.90	48.78	true
151	mobilenetv22_features_relu61_relu6	clip	31.00	4.00	27.00	0	76.50	0.00	true
152	mobilenetv22_features_pool0_fwd	Pooling	94.33	18.00	76.33	83635	12.30	4.65	true
153	mobilenetv22_output_pred_fwd	Convolution	2133.67	288.00	1845.67	83887080	4.33	291.27	true
154	mobilenetv22_output_flatten0_flatten0	Flatten	4.00	0.00	4.00	0	0.00	0.00	true

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