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layer_index	layer_name	layer_type	layer_shape	layer_duration (us)	layer_allocated_bytes	layer_peak_allocated_bytes	layer_allocator_bytes_in_use	layer_allocator_name	layer_host_temp_mem_bytes	layer_device_temp_mem_bytes	layer_host_persistent_mem_bytes	layer_device_persistent_mem_bytes

layer_index	layer_name	layer_type	layer_shape	layer_duration (us)
0	resnetv23_batchnorm0_fwd	BatchNorm	[1,3,224,224]	252.667
1	resnetv23_conv0_fwd	Convolution	[1,3,224,224]	19510.667
2	resnetv23_batchnorm1_fwd	BatchNorm	[1,64,112,112]	482.333
3	resnetv23_relu0_fwd	Activation	[1,64,112,112]	84.333
4	resnetv23_pool0_fwd	Pooling	[1,64,112,112]	3675.667
5	resnetv23_stage1_batchnorm0_fwd	BatchNorm	[1,64,56,56]	206.333
6	resnetv23_stage1_activation0	Activation	[1,64,56,56]	31
7	resnetv23_stage1_conv0_fwd	Convolution	[1,64,56,56]	2781
8	resnetv23_stage1_batchnorm1_fwd	BatchNorm	[1,64,56,56]	62.667
9	resnetv23_stage1_activation1	Activation	[1,64,56,56]	31.333
10	resnetv23_stage1_conv1_fwd	Convolution	[1,64,56,56]	15866.333
11	resnetv23_stage1_batchnorm2_fwd	BatchNorm	[1,64,56,56]	190
12	resnetv23_stage1_activation2	Activation	[1,64,56,56]	29.333
13	resnetv23_stage1_conv2_fwd	Convolution	[1,64,56,56]	6675
14	resnetv23_stage1_conv3_fwd	Convolution	[1,64,56,56]	5461
15	resnetv23_stage1__plus0	elemwise_add	[1,256,56,56]	194.333
16	resnetv23_stage1_batchnorm3_fwd	BatchNorm	[1,256,56,56]	89.667
17	resnetv23_stage1_activation3	Activation	[1,256,56,56]	75.333
18	resnetv23_stage1_conv4_fwd	Convolution	[1,256,56,56]	7072.333
19	resnetv23_stage1_batchnorm4_fwd	BatchNorm	[1,64,56,56]	156
20	resnetv23_stage1_activation4	Activation	[1,64,56,56]	30.667
21	resnetv23_stage1_conv5_fwd	Convolution	[1,64,56,56]	15912.333
22	resnetv23_stage1_batchnorm5_fwd	BatchNorm	[1,64,56,56]	175
23	resnetv23_stage1_activation5	Activation	[1,64,56,56]	28.333
24	resnetv23_stage1_conv6_fwd	Convolution	[1,64,56,56]	6641.667
25	resnetv23_stage1__plus1	elemwise_add	[1,256,56,56]	174.333
26	resnetv23_stage1_batchnorm6_fwd	BatchNorm	[1,256,56,56]	96.333
27	resnetv23_stage1_activation6	Activation	[1,256,56,56]	90.333
28	resnetv23_stage1_conv7_fwd	Convolution	[1,256,56,56]	6990
29	resnetv23_stage1_batchnorm7_fwd	BatchNorm	[1,64,56,56]	157.333
30	resnetv23_stage1_activation7	Activation	[1,64,56,56]	28.333
31	resnetv23_stage1_conv8_fwd	Convolution	[1,64,56,56]	15918
32	resnetv23_stage1_batchnorm8_fwd	BatchNorm	[1,64,56,56]	180.667
33	resnetv23_stage1_activation8	Activation	[1,64,56,56]	27.333
34	resnetv23_stage1_conv9_fwd	Convolution	[1,64,56,56]	6693.667
35	resnetv23_stage1__plus2	elemwise_add	[1,256,56,56]	165.333
36	resnetv23_stage2_batchnorm0_fwd	BatchNorm	[1,256,56,56]	93.667
37	resnetv23_stage2_activation0	Activation	[1,256,56,56]	87.333
38	resnetv23_stage2_conv0_fwd	Convolution	[1,256,56,56]	12267
39	resnetv23_stage2_batchnorm1_fwd	BatchNorm	[1,128,56,56]	181.667
40	resnetv23_stage2_activation1	Activation	[1,128,56,56]	49.667
41	resnetv23_stage2_conv1_fwd	Convolution	[1,128,56,56]	14387
42	resnetv23_stage2_batchnorm2_fwd	BatchNorm	[1,128,28,28]	158.667
43	resnetv23_stage2_activation2	Activation	[1,128,28,28]	21.667
44	resnetv23_stage2_conv2_fwd	Convolution	[1,128,28,28]	6473.333
45	resnetv23_stage2_conv3_fwd	Convolution	[1,256,56,56]	10531
46	resnetv23_stage2__plus0	elemwise_add	[1,512,28,28]	160.667
47	resnetv23_stage2_batchnorm3_fwd	BatchNorm	[1,512,28,28]	66.667
48	resnetv23_stage2_activation3	Activation	[1,512,28,28]	54.667
49	resnetv23_stage2_conv4_fwd	Convolution	[1,512,28,28]	6746
50	resnetv23_stage2_batchnorm4_fwd	BatchNorm	[1,128,28,28]	144
51	resnetv23_stage2_activation4	Activation	[1,128,28,28]	22.333
52	resnetv23_stage2_conv5_fwd	Convolution	[1,128,28,28]	14203
53	resnetv23_stage2_batchnorm5_fwd	BatchNorm	[1,128,28,28]	155.667
54	resnetv23_stage2_activation5	Activation	[1,128,28,28]	21.667
55	resnetv23_stage2_conv6_fwd	Convolution	[1,128,28,28]	6483
56	resnetv23_stage2__plus1	elemwise_add	[1,512,28,28]	145
57	resnetv23_stage2_batchnorm6_fwd	BatchNorm	[1,512,28,28]	64.333
58	resnetv23_stage2_activation6	Activation	[1,512,28,28]	51.667
59	resnetv23_stage2_conv7_fwd	Convolution	[1,512,28,28]	6736.667
60	resnetv23_stage2_batchnorm7_fwd	BatchNorm	[1,128,28,28]	146.333
61	resnetv23_stage2_activation7	Activation	[1,128,28,28]	20.333
62	resnetv23_stage2_conv8_fwd	Convolution	[1,128,28,28]	14232.667
63	resnetv23_stage2_batchnorm8_fwd	BatchNorm	[1,128,28,28]	195.333
64	resnetv23_stage2_activation8	Activation	[1,128,28,28]	17
65	resnetv23_stage2_conv9_fwd	Convolution	[1,128,28,28]	6474.333
66	resnetv23_stage2__plus2	elemwise_add	[1,512,28,28]	138.333
67	resnetv23_stage2_batchnorm9_fwd	BatchNorm	[1,512,28,28]	63.333
68	resnetv23_stage2_activation9	Activation	[1,512,28,28]	48
69	resnetv23_stage2_conv10_fwd	Convolution	[1,512,28,28]	6724
70	resnetv23_stage2_batchnorm10_fwd	BatchNorm	[1,128,28,28]	140
71	resnetv23_stage2_activation10	Activation	[1,128,28,28]	19.667
72	resnetv23_stage2_conv11_fwd	Convolution	[1,128,28,28]	14208.333
73	resnetv23_stage2_batchnorm11_fwd	BatchNorm	[1,128,28,28]	168.667
74	resnetv23_stage2_activation11	Activation	[1,128,28,28]	18
75	resnetv23_stage2_conv12_fwd	Convolution	[1,128,28,28]	6516.333
76	resnetv23_stage2__plus3	elemwise_add	[1,512,28,28]	142.333
77	resnetv23_stage3_batchnorm0_fwd	BatchNorm	[1,512,28,28]	64
78	resnetv23_stage3_activation0	Activation	[1,512,28,28]	50.667
79	resnetv23_stage3_conv0_fwd	Convolution	[1,512,28,28]	11566
80	resnetv23_stage3_batchnorm1_fwd	BatchNorm	[1,256,28,28]	166.333
81	resnetv23_stage3_activation1	Activation	[1,256,28,28]	30.333
82	resnetv23_stage3_conv1_fwd	Convolution	[1,256,28,28]	13734.333
83	resnetv23_stage3_batchnorm2_fwd	BatchNorm	[1,256,14,14]	185
84	resnetv23_stage3_activation2	Activation	[1,256,14,14]	16.667
85	resnetv23_stage3_conv2_fwd	Convolution	[1,256,14,14]	6386.667
86	resnetv23_stage3_conv3_fwd	Convolution	[1,512,28,28]	10475.667
87	resnetv23_stage3__plus0	elemwise_add	[1,1024,14,14]	130.333
88	resnetv23_stage3_batchnorm3_fwd	BatchNorm	[1,1024,14,14]	53.667
89	resnetv23_stage3_activation3	Activation	[1,1024,14,14]	35.333
90	resnetv23_stage3_conv4_fwd	Convolution	[1,1024,14,14]	6472.333
91	resnetv23_stage3_batchnorm4_fwd	BatchNorm	[1,256,14,14]	143.333
92	resnetv23_stage3_activation4	Activation	[1,256,14,14]	17.333
93	resnetv23_stage3_conv5_fwd	Convolution	[1,256,14,14]	13582.667
94	resnetv23_stage3_batchnorm5_fwd	BatchNorm	[1,256,14,14]	160.667
95	resnetv23_stage3_activation5	Activation	[1,256,14,14]	17.667
96	resnetv23_stage3_conv6_fwd	Convolution	[1,256,14,14]	6339.333
97	resnetv23_stage3__plus1	elemwise_add	[1,1024,14,14]	109.667
98	resnetv23_stage3_batchnorm6_fwd	BatchNorm	[1,1024,14,14]	52.667
99	resnetv23_stage3_activation6	Activation	[1,1024,14,14]	30
100	resnetv23_stage3_conv7_fwd	Convolution	[1,1024,14,14]	6453
101	resnetv23_stage3_batchnorm7_fwd	BatchNorm	[1,256,14,14]	157.667
102	resnetv23_stage3_activation7	Activation	[1,256,14,14]	16.333
103	resnetv23_stage3_conv8_fwd	Convolution	[1,256,14,14]	13619.667
104	resnetv23_stage3_batchnorm8_fwd	BatchNorm	[1,256,14,14]	181.333
105	resnetv23_stage3_activation8	Activation	[1,256,14,14]	15.333
106	resnetv23_stage3_conv9_fwd	Convolution	[1,256,14,14]	6399.333
107	resnetv23_stage3__plus2	elemwise_add	[1,1024,14,14]	130.667
108	resnetv23_stage3_batchnorm9_fwd	BatchNorm	[1,1024,14,14]	53
109	resnetv23_stage3_activation9	Activation	[1,1024,14,14]	31.667
110	resnetv23_stage3_conv10_fwd	Convolution	[1,1024,14,14]	6474.667
111	resnetv23_stage3_batchnorm10_fwd	BatchNorm	[1,256,14,14]	139.667
112	resnetv23_stage3_activation10	Activation	[1,256,14,14]	16.667
113	resnetv23_stage3_conv11_fwd	Convolution	[1,256,14,14]	13627.333
114	resnetv23_stage3_batchnorm11_fwd	BatchNorm	[1,256,14,14]	181.333
115	resnetv23_stage3_activation11	Activation	[1,256,14,14]	15.667
116	resnetv23_stage3_conv12_fwd	Convolution	[1,256,14,14]	6371.667
117	resnetv23_stage3__plus3	elemwise_add	[1,1024,14,14]	128.333
118	resnetv23_stage3_batchnorm12_fwd	BatchNorm	[1,1024,14,14]	51
119	resnetv23_stage3_activation12	Activation	[1,1024,14,14]	34
120	resnetv23_stage3_conv13_fwd	Convolution	[1,1024,14,14]	6390.333
121	resnetv23_stage3_batchnorm13_fwd	BatchNorm	[1,256,14,14]	143.333
122	resnetv23_stage3_activation13	Activation	[1,256,14,14]	16.333
123	resnetv23_stage3_conv14_fwd	Convolution	[1,256,14,14]	13662
124	resnetv23_stage3_batchnorm14_fwd	BatchNorm	[1,256,14,14]	173.667
125	resnetv23_stage3_activation14	Activation	[1,256,14,14]	14.667
126	resnetv23_stage3_conv15_fwd	Convolution	[1,256,14,14]	6379.333
127	resnetv23_stage3__plus4	elemwise_add	[1,1024,14,14]	121
128	resnetv23_stage3_batchnorm15_fwd	BatchNorm	[1,1024,14,14]	51.333
129	resnetv23_stage3_activation15	Activation	[1,1024,14,14]	31.333
130	resnetv23_stage3_conv16_fwd	Convolution	[1,1024,14,14]	6421.333
131	resnetv23_stage3_batchnorm16_fwd	BatchNorm	[1,256,14,14]	150.333
132	resnetv23_stage3_activation16	Activation	[1,256,14,14]	16.333
133	resnetv23_stage3_conv17_fwd	Convolution	[1,256,14,14]	13616
134	resnetv23_stage3_batchnorm17_fwd	BatchNorm	[1,256,14,14]	160.667
135	resnetv23_stage3_activation17	Activation	[1,256,14,14]	14
136	resnetv23_stage3_conv18_fwd	Convolution	[1,256,14,14]	6266.333
137	resnetv23_stage3__plus5	elemwise_add	[1,1024,14,14]	127.667
138	resnetv23_stage3_batchnorm18_fwd	BatchNorm	[1,1024,14,14]	50.333
139	resnetv23_stage3_activation18	Activation	[1,1024,14,14]	32.667
140	resnetv23_stage3_conv19_fwd	Convolution	[1,1024,14,14]	6462.333
141	resnetv23_stage3_batchnorm19_fwd	BatchNorm	[1,256,14,14]	143.667
142	resnetv23_stage3_activation19	Activation	[1,256,14,14]	16.667
143	resnetv23_stage3_conv20_fwd	Convolution	[1,256,14,14]	13662.333
144	resnetv23_stage3_batchnorm20_fwd	BatchNorm	[1,256,14,14]	188.333
145	resnetv23_stage3_activation20	Activation	[1,256,14,14]	17.333
146	resnetv23_stage3_conv21_fwd	Convolution	[1,256,14,14]	6332
147	resnetv23_stage3__plus6	elemwise_add	[1,1024,14,14]	129.333
148	resnetv23_stage3_batchnorm21_fwd	BatchNorm	[1,1024,14,14]	49
149	resnetv23_stage3_activation21	Activation	[1,1024,14,14]	30
150	resnetv23_stage3_conv22_fwd	Convolution	[1,1024,14,14]	6447.667
151	resnetv23_stage3_batchnorm22_fwd	BatchNorm	[1,256,14,14]	140.333
152	resnetv23_stage3_activation22	Activation	[1,256,14,14]	16
153	resnetv23_stage3_conv23_fwd	Convolution	[1,256,14,14]	13690
154	resnetv23_stage3_batchnorm23_fwd	BatchNorm	[1,256,14,14]	189.667
155	resnetv23_stage3_activation23	Activation	[1,256,14,14]	15.667
156	resnetv23_stage3_conv24_fwd	Convolution	[1,256,14,14]	6360.667
157	resnetv23_stage3__plus7	elemwise_add	[1,1024,14,14]	126
158	resnetv23_stage3_batchnorm24_fwd	BatchNorm	[1,1024,14,14]	55.667
159	resnetv23_stage3_activation24	Activation	[1,1024,14,14]	31
160	resnetv23_stage3_conv25_fwd	Convolution	[1,1024,14,14]	6483
161	resnetv23_stage3_batchnorm25_fwd	BatchNorm	[1,256,14,14]	140.333
162	resnetv23_stage3_activation25	Activation	[1,256,14,14]	16
163	resnetv23_stage3_conv26_fwd	Convolution	[1,256,14,14]	13679.333
164	resnetv23_stage3_batchnorm26_fwd	BatchNorm	[1,256,14,14]	177
165	resnetv23_stage3_activation26	Activation	[1,256,14,14]	14
166	resnetv23_stage3_conv27_fwd	Convolution	[1,256,14,14]	6374
167	resnetv23_stage3__plus8	elemwise_add	[1,1024,14,14]	120.333
168	resnetv23_stage3_batchnorm27_fwd	BatchNorm	[1,1024,14,14]	50
169	resnetv23_stage3_activation27	Activation	[1,1024,14,14]	31
170	resnetv23_stage3_conv28_fwd	Convolution	[1,1024,14,14]	6440.333
171	resnetv23_stage3_batchnorm28_fwd	BatchNorm	[1,256,14,14]	149.667
172	resnetv23_stage3_activation28	Activation	[1,256,14,14]	15.333
173	resnetv23_stage3_conv29_fwd	Convolution	[1,256,14,14]	13645
174	resnetv23_stage3_batchnorm29_fwd	BatchNorm	[1,256,14,14]	163
175	resnetv23_stage3_activation29	Activation	[1,256,14,14]	15.333
176	resnetv23_stage3_conv30_fwd	Convolution	[1,256,14,14]	6321
177	resnetv23_stage3__plus9	elemwise_add	[1,1024,14,14]	131.333
178	resnetv23_stage3_batchnorm30_fwd	BatchNorm	[1,1024,14,14]	53
179	resnetv23_stage3_activation30	Activation	[1,1024,14,14]	33.667
180	resnetv23_stage3_conv31_fwd	Convolution	[1,1024,14,14]	6485
181	resnetv23_stage3_batchnorm31_fwd	BatchNorm	[1,256,14,14]	148.667
182	resnetv23_stage3_activation31	Activation	[1,256,14,14]	16
183	resnetv23_stage3_conv32_fwd	Convolution	[1,256,14,14]	13632.667
184	resnetv23_stage3_batchnorm32_fwd	BatchNorm	[1,256,14,14]	183.333
185	resnetv23_stage3_activation32	Activation	[1,256,14,14]	14.333
186	resnetv23_stage3_conv33_fwd	Convolution	[1,256,14,14]	6424.333
187	resnetv23_stage3__plus10	elemwise_add	[1,1024,14,14]	136.667
188	resnetv23_stage3_batchnorm33_fwd	BatchNorm	[1,1024,14,14]	52.333
189	resnetv23_stage3_activation33	Activation	[1,1024,14,14]	33.333
190	resnetv23_stage3_conv34_fwd	Convolution	[1,1024,14,14]	6472.333
191	resnetv23_stage3_batchnorm34_fwd	BatchNorm	[1,256,14,14]	146.333
192	resnetv23_stage3_activation34	Activation	[1,256,14,14]	16.667
193	resnetv23_stage3_conv35_fwd	Convolution	[1,256,14,14]	13601.333
194	resnetv23_stage3_batchnorm35_fwd	BatchNorm	[1,256,14,14]	183.667
195	resnetv23_stage3_activation35	Activation	[1,256,14,14]	15.333
196	resnetv23_stage3_conv36_fwd	Convolution	[1,256,14,14]	6340
197	resnetv23_stage3__plus11	elemwise_add	[1,1024,14,14]	116.667
198	resnetv23_stage3_batchnorm36_fwd	BatchNorm	[1,1024,14,14]	53.667
199	resnetv23_stage3_activation36	Activation	[1,1024,14,14]	30.333
200	resnetv23_stage3_conv37_fwd	Convolution	[1,1024,14,14]	6438.667
201	resnetv23_stage3_batchnorm37_fwd	BatchNorm	[1,256,14,14]	152.333
202	resnetv23_stage3_activation37	Activation	[1,256,14,14]	16.667
203	resnetv23_stage3_conv38_fwd	Convolution	[1,256,14,14]	13605.333
204	resnetv23_stage3_batchnorm38_fwd	BatchNorm	[1,256,14,14]	164.667
205	resnetv23_stage3_activation38	Activation	[1,256,14,14]	15.667
206	resnetv23_stage3_conv39_fwd	Convolution	[1,256,14,14]	6372.667
207	resnetv23_stage3__plus12	elemwise_add	[1,1024,14,14]	118.333
208	resnetv23_stage3_batchnorm39_fwd	BatchNorm	[1,1024,14,14]	55
209	resnetv23_stage3_activation39	Activation	[1,1024,14,14]	32.333
210	resnetv23_stage3_conv40_fwd	Convolution	[1,1024,14,14]	6468.667
211	resnetv23_stage3_batchnorm40_fwd	BatchNorm	[1,256,14,14]	141.667
212	resnetv23_stage3_activation40	Activation	[1,256,14,14]	16
213	resnetv23_stage3_conv41_fwd	Convolution	[1,256,14,14]	13600.667
214	resnetv23_stage3_batchnorm41_fwd	BatchNorm	[1,256,14,14]	180.333
215	resnetv23_stage3_activation41	Activation	[1,256,14,14]	14
216	resnetv23_stage3_conv42_fwd	Convolution	[1,256,14,14]	6383.667
217	resnetv23_stage3__plus13	elemwise_add	[1,1024,14,14]	128.667
218	resnetv23_stage3_batchnorm42_fwd	BatchNorm	[1,1024,14,14]	50
219	resnetv23_stage3_activation42	Activation	[1,1024,14,14]	33
220	resnetv23_stage3_conv43_fwd	Convolution	[1,1024,14,14]	6414
221	resnetv23_stage3_batchnorm43_fwd	BatchNorm	[1,256,14,14]	143.667
222	resnetv23_stage3_activation43	Activation	[1,256,14,14]	17
223	resnetv23_stage3_conv44_fwd	Convolution	[1,256,14,14]	13624.667
224	resnetv23_stage3_batchnorm44_fwd	BatchNorm	[1,256,14,14]	191.667
225	resnetv23_stage3_activation44	Activation	[1,256,14,14]	17
226	resnetv23_stage3_conv45_fwd	Convolution	[1,256,14,14]	6318
227	resnetv23_stage3__plus14	elemwise_add	[1,1024,14,14]	128
228	resnetv23_stage3_batchnorm45_fwd	BatchNorm	[1,1024,14,14]	47.333
229	resnetv23_stage3_activation45	Activation	[1,1024,14,14]	31.667
230	resnetv23_stage3_conv46_fwd	Convolution	[1,1024,14,14]	6408.667
231	resnetv23_stage3_batchnorm46_fwd	BatchNorm	[1,256,14,14]	150.333
232	resnetv23_stage3_activation46	Activation	[1,256,14,14]	15.667
233	resnetv23_stage3_conv47_fwd	Convolution	[1,256,14,14]	13579.333
234	resnetv23_stage3_batchnorm47_fwd	BatchNorm	[1,256,14,14]	177.333
235	resnetv23_stage3_activation47	Activation	[1,256,14,14]	15.333
236	resnetv23_stage3_conv48_fwd	Convolution	[1,256,14,14]	6385.667
237	resnetv23_stage3__plus15	elemwise_add	[1,1024,14,14]	116.667
238	resnetv23_stage3_batchnorm48_fwd	BatchNorm	[1,1024,14,14]	55
239	resnetv23_stage3_activation48	Activation	[1,1024,14,14]	30.667
240	resnetv23_stage3_conv49_fwd	Convolution	[1,1024,14,14]	6452
241	resnetv23_stage3_batchnorm49_fwd	BatchNorm	[1,256,14,14]	148
242	resnetv23_stage3_activation49	Activation	[1,256,14,14]	16
243	resnetv23_stage3_conv50_fwd	Convolution	[1,256,14,14]	13620
244	resnetv23_stage3_batchnorm50_fwd	BatchNorm	[1,256,14,14]	187
245	resnetv23_stage3_activation50	Activation	[1,256,14,14]	15.667
246	resnetv23_stage3_conv51_fwd	Convolution	[1,256,14,14]	6348
247	resnetv23_stage3__plus16	elemwise_add	[1,1024,14,14]	121
248	resnetv23_stage3_batchnorm51_fwd	BatchNorm	[1,1024,14,14]	55.333
249	resnetv23_stage3_activation51	Activation	[1,1024,14,14]	32
250	resnetv23_stage3_conv52_fwd	Convolution	[1,1024,14,14]	6423.667
251	resnetv23_stage3_batchnorm52_fwd	BatchNorm	[1,256,14,14]	142.667
252	resnetv23_stage3_activation52	Activation	[1,256,14,14]	16
253	resnetv23_stage3_conv53_fwd	Convolution	[1,256,14,14]	13602.667
254	resnetv23_stage3_batchnorm53_fwd	BatchNorm	[1,256,14,14]	183
255	resnetv23_stage3_activation53	Activation	[1,256,14,14]	15.333
256	resnetv23_stage3_conv54_fwd	Convolution	[1,256,14,14]	6303.333
257	resnetv23_stage3__plus17	elemwise_add	[1,1024,14,14]	128.667
258	resnetv23_stage3_batchnorm54_fwd	BatchNorm	[1,1024,14,14]	51.333
259	resnetv23_stage3_activation54	Activation	[1,1024,14,14]	31.667
260	resnetv23_stage3_conv55_fwd	Convolution	[1,1024,14,14]	6425
261	resnetv23_stage3_batchnorm55_fwd	BatchNorm	[1,256,14,14]	144
262	resnetv23_stage3_activation55	Activation	[1,256,14,14]	16.667
263	resnetv23_stage3_conv56_fwd	Convolution	[1,256,14,14]	13603
264	resnetv23_stage3_batchnorm56_fwd	BatchNorm	[1,256,14,14]	186.333
265	resnetv23_stage3_activation56	Activation	[1,256,14,14]	14
266	resnetv23_stage3_conv57_fwd	Convolution	[1,256,14,14]	6353
267	resnetv23_stage3__plus18	elemwise_add	[1,1024,14,14]	124.333
268	resnetv23_stage3_batchnorm57_fwd	BatchNorm	[1,1024,14,14]	50.333
269	resnetv23_stage3_activation57	Activation	[1,1024,14,14]	30
270	resnetv23_stage3_conv58_fwd	Convolution	[1,1024,14,14]	6452.333
271	resnetv23_stage3_batchnorm58_fwd	BatchNorm	[1,256,14,14]	143
272	resnetv23_stage3_activation58	Activation	[1,256,14,14]	16
273	resnetv23_stage3_conv59_fwd	Convolution	[1,256,14,14]	13576
274	resnetv23_stage3_batchnorm59_fwd	BatchNorm	[1,256,14,14]	167.333
275	resnetv23_stage3_activation59	Activation	[1,256,14,14]	14
276	resnetv23_stage3_conv60_fwd	Convolution	[1,256,14,14]	6316.333
277	resnetv23_stage3__plus19	elemwise_add	[1,1024,14,14]	113
278	resnetv23_stage3_batchnorm60_fwd	BatchNorm	[1,1024,14,14]	50.333
279	resnetv23_stage3_activation60	Activation	[1,1024,14,14]	30.667
280	resnetv23_stage3_conv61_fwd	Convolution	[1,1024,14,14]	6470
281	resnetv23_stage3_batchnorm61_fwd	BatchNorm	[1,256,14,14]	138.333
282	resnetv23_stage3_activation61	Activation	[1,256,14,14]	15.667
283	resnetv23_stage3_conv62_fwd	Convolution	[1,256,14,14]	13609
284	resnetv23_stage3_batchnorm62_fwd	BatchNorm	[1,256,14,14]	172.667
285	resnetv23_stage3_activation62	Activation	[1,256,14,14]	17
286	resnetv23_stage3_conv63_fwd	Convolution	[1,256,14,14]	6348
287	resnetv23_stage3__plus20	elemwise_add	[1,1024,14,14]	118.667
288	resnetv23_stage3_batchnorm63_fwd	BatchNorm	[1,1024,14,14]	45.667
289	resnetv23_stage3_activation63	Activation	[1,1024,14,14]	31
290	resnetv23_stage3_conv64_fwd	Convolution	[1,1024,14,14]	6426
291	resnetv23_stage3_batchnorm64_fwd	BatchNorm	[1,256,14,14]	144
292	resnetv23_stage3_activation64	Activation	[1,256,14,14]	16.333
293	resnetv23_stage3_conv65_fwd	Convolution	[1,256,14,14]	13610.333
294	resnetv23_stage3_batchnorm65_fwd	BatchNorm	[1,256,14,14]	183.333
295	resnetv23_stage3_activation65	Activation	[1,256,14,14]	16.667
296	resnetv23_stage3_conv66_fwd	Convolution	[1,256,14,14]	6298
297	resnetv23_stage3__plus21	elemwise_add	[1,1024,14,14]	130.333
298	resnetv23_stage3_batchnorm66_fwd	BatchNorm	[1,1024,14,14]	54.333
299	resnetv23_stage3_activation66	Activation	[1,1024,14,14]	32
300	resnetv23_stage3_conv67_fwd	Convolution	[1,1024,14,14]	6425
301	resnetv23_stage3_batchnorm67_fwd	BatchNorm	[1,256,14,14]	142.667
302	resnetv23_stage3_activation67	Activation	[1,256,14,14]	16.333
303	resnetv23_stage3_conv68_fwd	Convolution	[1,256,14,14]	13615.667
304	resnetv23_stage3_batchnorm68_fwd	BatchNorm	[1,256,14,14]	191.333
305	resnetv23_stage3_activation68	Activation	[1,256,14,14]	15.333
306	resnetv23_stage3_conv69_fwd	Convolution	[1,256,14,14]	6351.667
307	resnetv23_stage3__plus22	elemwise_add	[1,1024,14,14]	126.667
308	resnetv23_stage4_batchnorm0_fwd	BatchNorm	[1,1024,14,14]	54
309	resnetv23_stage4_activation0	Activation	[1,1024,14,14]	31.667
310	resnetv23_stage4_conv0_fwd	Convolution	[1,1024,14,14]	11627.333
311	resnetv23_stage4_batchnorm1_fwd	BatchNorm	[1,512,14,14]	154
312	resnetv23_stage4_activation1	Activation	[1,512,14,14]	20.333
313	resnetv23_stage4_conv1_fwd	Convolution	[1,512,14,14]	16533.667
314	resnetv23_stage4_batchnorm2_fwd	BatchNorm	[1,512,7,7]	157
315	resnetv23_stage4_activation2	Activation	[1,512,7,7]	13.667
316	resnetv23_stage4_conv2_fwd	Convolution	[1,512,7,7]	7585.333
317	resnetv23_stage4_conv3_fwd	Convolution	[1,1024,14,14]	13068.333
318	resnetv23_stage4__plus0	elemwise_add	[1,2048,7,7]	136.333
319	resnetv23_stage4_batchnorm3_fwd	BatchNorm	[1,2048,7,7]	56.667
320	resnetv23_stage4_activation3	Activation	[1,2048,7,7]	22
321	resnetv23_stage4_conv4_fwd	Convolution	[1,2048,7,7]	7634.667
322	resnetv23_stage4_batchnorm4_fwd	BatchNorm	[1,512,7,7]	155.667
323	resnetv23_stage4_activation4	Activation	[1,512,7,7]	15.333
324	resnetv23_stage4_conv5_fwd	Convolution	[1,512,7,7]	16531.667
325	resnetv23_stage4_batchnorm5_fwd	BatchNorm	[1,512,7,7]	187
326	resnetv23_stage4_activation5	Activation	[1,512,7,7]	13.667
327	resnetv23_stage4_conv6_fwd	Convolution	[1,512,7,7]	7547.333
328	resnetv23_stage4__plus1	elemwise_add	[1,2048,7,7]	128
329	resnetv23_stage4_batchnorm6_fwd	BatchNorm	[1,2048,7,7]	54
330	resnetv23_stage4_activation6	Activation	[1,2048,7,7]	19.667
331	resnetv23_stage4_conv7_fwd	Convolution	[1,2048,7,7]	7544.333
332	resnetv23_stage4_batchnorm7_fwd	BatchNorm	[1,512,7,7]	184
333	resnetv23_stage4_activation7	Activation	[1,512,7,7]	15
334	resnetv23_stage4_conv8_fwd	Convolution	[1,512,7,7]	16450
335	resnetv23_stage4_batchnorm8_fwd	BatchNorm	[1,512,7,7]	179.333
336	resnetv23_stage4_activation8	Activation	[1,512,7,7]	13.333
337	resnetv23_stage4_conv9_fwd	Convolution	[1,512,7,7]	7536
338	resnetv23_stage4__plus2	elemwise_add	[1,2048,7,7]	123.333
339	resnetv23_batchnorm2_fwd	BatchNorm	[1,2048,7,7]	55.333
340	resnetv23_relu1_fwd	Activation	[1,2048,7,7]	22.333
341	resnetv23_pool1_fwd	Pooling	[1,2048,7,7]	272.333
342	resnetv23_flatten0_flatten0	Flatten	[1,2048,1,1]	3.667
343	resnetv23_dense0_fwd	FullyConnected	[1,2048]	2514.333

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