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Edited by Chia-Wei Chang(0): Conv2D(3 -> 8, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=8) (2): Activation(relu) (3): Conv2D(1 -> 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=8, bias=False) (4): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=8) (5): Activation(relu) (6): Conv2D(8 -> 16, kernel_size=(1, 1), stride=(1, 1), bias=False) (7): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=16) (8): Activation(relu) (9): Conv2D(1 -> 16, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=16, bias=False) (10): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=16) (11): Activation(relu) (12): Conv2D(16 -> 32, kernel_size=(1, 1), stride=(1, 1), bias=False) (13): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=32) (14): Activation(relu) (15): Conv2D(1 -> 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=32, bias=False) (16): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=32) (17): Activation(relu) (18): Conv2D(32 -> 32, kernel_size=(1, 1), stride=(1, 1), bias=False) (19): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=32) (20): Activation(relu) (21): Conv2D(1 -> 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=32, bias=False) (22): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=32) (23): Activation(relu) (24): Conv2D(32 -> 64, kernel_size=(1, 1), stride=(1, 1), bias=False) (25): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=64) (26): Activation(relu) (27): Conv2D(1 -> 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64, bias=False) (28): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=64) (29): Activation(relu) (30): Conv2D(64 -> 64, kernel_size=(1, 1), stride=(1, 1), bias=False) (31): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=64) (32): Activation(relu) (33): Conv2D(1 -> 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=64, bias=False) (34): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=64) (35): Activation(relu) (36): Conv2D(64 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (37): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (38): Activation(relu) (39): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False) (40): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (41): Activation(relu) (42): Conv2D(128 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (43): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (44): Activation(relu) (45): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False) (46): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (47): Activation(relu) (48): Conv2D(128 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (49): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (50): Activation(relu) (51): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False) (52): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (53): Activation(relu) (54): Conv2D(128 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (55): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (56): Activation(relu) (57): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False) (58): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (59): Activation(relu) (60): Conv2D(128 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (61): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (62): Activation(relu) (63): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False) (64): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (65): Activation(relu) (66): Conv2D(128 -> 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (67): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (68): Activation(relu) (69): Conv2D(1 -> 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=128, bias=False) (70): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=128) (71): Activation(relu) (72): Conv2D(128 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (73): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=256) (74): Activation(relu) (75): Conv2D(1 -> 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256, bias=False) (76): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=256) (77): Activation(relu) (78): Conv2D(256 -> 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (79): BatchNorm(axis=1, use_global_stats=False, momentum=0.9, eps=1e-05, fix_gamma=False, in_channels=256) (80): Activation(relu) (81): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True) (82): Flatten
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