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model_summary.txt
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----------------------------------------------------------------
Layer (type) Output Shape Param #
================================================================
Conv2d-1 [-1, 64, 112, 112] 1,728
BatchNorm2d-2 [-1, 64, 112, 112] 128
PReLU-3 [-1, 64, 112, 112] 64
BatchNorm2d-4 [-1, 64, 112, 112] 128
Conv2d-5 [-1, 64, 112, 112] 36,864
BatchNorm2d-6 [-1, 64, 112, 112] 128
PReLU-7 [-1, 64, 112, 112] 64
Conv2d-8 [-1, 64, 56, 56] 36,864
BatchNorm2d-9 [-1, 64, 56, 56] 128
Conv2d-10 [-1, 64, 56, 56] 4,096
BatchNorm2d-11 [-1, 64, 56, 56] 128
IBasicBlock-12 [-1, 64, 56, 56] 0
BatchNorm2d-13 [-1, 64, 56, 56] 128
Conv2d-14 [-1, 64, 56, 56] 36,864
BatchNorm2d-15 [-1, 64, 56, 56] 128
PReLU-16 [-1, 64, 56, 56] 64
Conv2d-17 [-1, 64, 56, 56] 36,864
BatchNorm2d-18 [-1, 64, 56, 56] 128
IBasicBlock-19 [-1, 64, 56, 56] 0
BatchNorm2d-20 [-1, 64, 56, 56] 128
Conv2d-21 [-1, 64, 56, 56] 36,864
BatchNorm2d-22 [-1, 64, 56, 56] 128
PReLU-23 [-1, 64, 56, 56] 64
Conv2d-24 [-1, 64, 56, 56] 36,864
BatchNorm2d-25 [-1, 64, 56, 56] 128
IBasicBlock-26 [-1, 64, 56, 56] 0
BatchNorm2d-27 [-1, 64, 56, 56] 128
Conv2d-28 [-1, 128, 56, 56] 73,728
BatchNorm2d-29 [-1, 128, 56, 56] 256
PReLU-30 [-1, 128, 56, 56] 128
Conv2d-31 [-1, 128, 28, 28] 147,456
BatchNorm2d-32 [-1, 128, 28, 28] 256
Conv2d-33 [-1, 128, 28, 28] 8,192
BatchNorm2d-34 [-1, 128, 28, 28] 256
IBasicBlock-35 [-1, 128, 28, 28] 0
BatchNorm2d-36 [-1, 128, 28, 28] 256
Conv2d-37 [-1, 128, 28, 28] 147,456
BatchNorm2d-38 [-1, 128, 28, 28] 256
PReLU-39 [-1, 128, 28, 28] 128
Conv2d-40 [-1, 128, 28, 28] 147,456
BatchNorm2d-41 [-1, 128, 28, 28] 256
IBasicBlock-42 [-1, 128, 28, 28] 0
BatchNorm2d-43 [-1, 128, 28, 28] 256
Conv2d-44 [-1, 128, 28, 28] 147,456
BatchNorm2d-45 [-1, 128, 28, 28] 256
PReLU-46 [-1, 128, 28, 28] 128
Conv2d-47 [-1, 128, 28, 28] 147,456
BatchNorm2d-48 [-1, 128, 28, 28] 256
IBasicBlock-49 [-1, 128, 28, 28] 0
BatchNorm2d-50 [-1, 128, 28, 28] 256
Conv2d-51 [-1, 128, 28, 28] 147,456
BatchNorm2d-52 [-1, 128, 28, 28] 256
PReLU-53 [-1, 128, 28, 28] 128
Conv2d-54 [-1, 128, 28, 28] 147,456
BatchNorm2d-55 [-1, 128, 28, 28] 256
IBasicBlock-56 [-1, 128, 28, 28] 0
BatchNorm2d-57 [-1, 128, 28, 28] 256
Conv2d-58 [-1, 256, 28, 28] 294,912
BatchNorm2d-59 [-1, 256, 28, 28] 512
PReLU-60 [-1, 256, 28, 28] 256
Conv2d-61 [-1, 256, 14, 14] 589,824
BatchNorm2d-62 [-1, 256, 14, 14] 512
Conv2d-63 [-1, 256, 14, 14] 32,768
BatchNorm2d-64 [-1, 256, 14, 14] 512
IBasicBlock-65 [-1, 256, 14, 14] 0
BatchNorm2d-66 [-1, 256, 14, 14] 512
Conv2d-67 [-1, 256, 14, 14] 589,824
BatchNorm2d-68 [-1, 256, 14, 14] 512
PReLU-69 [-1, 256, 14, 14] 256
Conv2d-70 [-1, 256, 14, 14] 589,824
BatchNorm2d-71 [-1, 256, 14, 14] 512
IBasicBlock-72 [-1, 256, 14, 14] 0
BatchNorm2d-73 [-1, 256, 14, 14] 512
Conv2d-74 [-1, 256, 14, 14] 589,824
BatchNorm2d-75 [-1, 256, 14, 14] 512
PReLU-76 [-1, 256, 14, 14] 256
Conv2d-77 [-1, 256, 14, 14] 589,824
BatchNorm2d-78 [-1, 256, 14, 14] 512
IBasicBlock-79 [-1, 256, 14, 14] 0
BatchNorm2d-80 [-1, 256, 14, 14] 512
Conv2d-81 [-1, 256, 14, 14] 589,824
BatchNorm2d-82 [-1, 256, 14, 14] 512
PReLU-83 [-1, 256, 14, 14] 256
Conv2d-84 [-1, 256, 14, 14] 589,824
BatchNorm2d-85 [-1, 256, 14, 14] 512
IBasicBlock-86 [-1, 256, 14, 14] 0
BatchNorm2d-87 [-1, 256, 14, 14] 512
Conv2d-88 [-1, 256, 14, 14] 589,824
BatchNorm2d-89 [-1, 256, 14, 14] 512
PReLU-90 [-1, 256, 14, 14] 256
Conv2d-91 [-1, 256, 14, 14] 589,824
BatchNorm2d-92 [-1, 256, 14, 14] 512
IBasicBlock-93 [-1, 256, 14, 14] 0
BatchNorm2d-94 [-1, 256, 14, 14] 512
Conv2d-95 [-1, 256, 14, 14] 589,824
BatchNorm2d-96 [-1, 256, 14, 14] 512
PReLU-97 [-1, 256, 14, 14] 256
Conv2d-98 [-1, 256, 14, 14] 589,824
BatchNorm2d-99 [-1, 256, 14, 14] 512
IBasicBlock-100 [-1, 256, 14, 14] 0
BatchNorm2d-101 [-1, 256, 14, 14] 512
Conv2d-102 [-1, 256, 14, 14] 589,824
BatchNorm2d-103 [-1, 256, 14, 14] 512
PReLU-104 [-1, 256, 14, 14] 256
Conv2d-105 [-1, 256, 14, 14] 589,824
BatchNorm2d-106 [-1, 256, 14, 14] 512
IBasicBlock-107 [-1, 256, 14, 14] 0
BatchNorm2d-108 [-1, 256, 14, 14] 512
Conv2d-109 [-1, 256, 14, 14] 589,824
BatchNorm2d-110 [-1, 256, 14, 14] 512
PReLU-111 [-1, 256, 14, 14] 256
Conv2d-112 [-1, 256, 14, 14] 589,824
BatchNorm2d-113 [-1, 256, 14, 14] 512
IBasicBlock-114 [-1, 256, 14, 14] 0
BatchNorm2d-115 [-1, 256, 14, 14] 512
Conv2d-116 [-1, 256, 14, 14] 589,824
BatchNorm2d-117 [-1, 256, 14, 14] 512
PReLU-118 [-1, 256, 14, 14] 256
Conv2d-119 [-1, 256, 14, 14] 589,824
BatchNorm2d-120 [-1, 256, 14, 14] 512
IBasicBlock-121 [-1, 256, 14, 14] 0
BatchNorm2d-122 [-1, 256, 14, 14] 512
Conv2d-123 [-1, 256, 14, 14] 589,824
BatchNorm2d-124 [-1, 256, 14, 14] 512
PReLU-125 [-1, 256, 14, 14] 256
Conv2d-126 [-1, 256, 14, 14] 589,824
BatchNorm2d-127 [-1, 256, 14, 14] 512
IBasicBlock-128 [-1, 256, 14, 14] 0
BatchNorm2d-129 [-1, 256, 14, 14] 512
Conv2d-130 [-1, 256, 14, 14] 589,824
BatchNorm2d-131 [-1, 256, 14, 14] 512
PReLU-132 [-1, 256, 14, 14] 256
Conv2d-133 [-1, 256, 14, 14] 589,824
BatchNorm2d-134 [-1, 256, 14, 14] 512
IBasicBlock-135 [-1, 256, 14, 14] 0
BatchNorm2d-136 [-1, 256, 14, 14] 512
Conv2d-137 [-1, 256, 14, 14] 589,824
BatchNorm2d-138 [-1, 256, 14, 14] 512
PReLU-139 [-1, 256, 14, 14] 256
Conv2d-140 [-1, 256, 14, 14] 589,824
BatchNorm2d-141 [-1, 256, 14, 14] 512
IBasicBlock-142 [-1, 256, 14, 14] 0
BatchNorm2d-143 [-1, 256, 14, 14] 512
Conv2d-144 [-1, 256, 14, 14] 589,824
BatchNorm2d-145 [-1, 256, 14, 14] 512
PReLU-146 [-1, 256, 14, 14] 256
Conv2d-147 [-1, 256, 14, 14] 589,824
BatchNorm2d-148 [-1, 256, 14, 14] 512
IBasicBlock-149 [-1, 256, 14, 14] 0
BatchNorm2d-150 [-1, 256, 14, 14] 512
Conv2d-151 [-1, 256, 14, 14] 589,824
BatchNorm2d-152 [-1, 256, 14, 14] 512
PReLU-153 [-1, 256, 14, 14] 256
Conv2d-154 [-1, 256, 14, 14] 589,824
BatchNorm2d-155 [-1, 256, 14, 14] 512
IBasicBlock-156 [-1, 256, 14, 14] 0
BatchNorm2d-157 [-1, 256, 14, 14] 512
Conv2d-158 [-1, 512, 14, 14] 1,179,648
BatchNorm2d-159 [-1, 512, 14, 14] 1,024
PReLU-160 [-1, 512, 14, 14] 512
Conv2d-161 [-1, 512, 7, 7] 2,359,296
BatchNorm2d-162 [-1, 512, 7, 7] 1,024
Conv2d-163 [-1, 512, 7, 7] 131,072
BatchNorm2d-164 [-1, 512, 7, 7] 1,024
IBasicBlock-165 [-1, 512, 7, 7] 0
BatchNorm2d-166 [-1, 512, 7, 7] 1,024
Conv2d-167 [-1, 512, 7, 7] 2,359,296
BatchNorm2d-168 [-1, 512, 7, 7] 1,024
PReLU-169 [-1, 512, 7, 7] 512
Conv2d-170 [-1, 512, 7, 7] 2,359,296
BatchNorm2d-171 [-1, 512, 7, 7] 1,024
IBasicBlock-172 [-1, 512, 7, 7] 0
BatchNorm2d-173 [-1, 512, 7, 7] 1,024
Conv2d-174 [-1, 512, 7, 7] 2,359,296
BatchNorm2d-175 [-1, 512, 7, 7] 1,024
PReLU-176 [-1, 512, 7, 7] 512
Conv2d-177 [-1, 512, 7, 7] 2,359,296
BatchNorm2d-178 [-1, 512, 7, 7] 1,024
IBasicBlock-179 [-1, 512, 7, 7] 0
BatchNorm2d-180 [-1, 512, 7, 7] 1,024
Dropout-181 [-1, 25088] 0
Linear-182 [-1, 2048] 51,382,272
BatchNorm1d-183 [-1, 2048] 4,096
IResNet-184 [-1, 2048] 0
ReLU-185 [-1, 2048] 0
Encoder-186 [-1, 2048] 0
Linear-187 [-1, 2] 1,026
Classifier-188 [-1, 2] 0
Linear-189 [-1, 2] 1,026
Classifier-190 [-1, 2] 0
Linear-191 [-1, 2] 1,026
Classifier-192 [-1, 2] 0
Linear-193 [-1, 4] 2,052
Classifier-194 [-1, 4] 0
Linear-195 [-1, 4] 2,052
Classifier-196 [-1, 4] 0
Linear-197 [-1, 4] 2,052
Classifier-198 [-1, 4] 0
Linear-199 [-1, 63] 32,319
Classifier-200 [-1, 63] 0
Linear-201 [-1, 63] 32,319
Classifier-202 [-1, 63] 0
Linear-203 [-1, 63] 32,319
Classifier-204 [-1, 63] 0
Linear-205 [-1, 2] 4,098
Classifier-206 [-1, 2] 0
Linear-207 [-1, 2] 4,098
Classifier-208 [-1, 2] 0
================================================================
Total params: 82,245,011
Trainable params: 82,240,915
Non-trainable params: 4,096
----------------------------------------------------------------
Input size (MB): 0.14
Forward/backward pass size (MB): 151.48
Params size (MB): 313.74
Estimated Total Size (MB): 465.37
----------------------------------------------------------------