ThAddmmBackward
ExpandBackward
fc.bias
(100)
ViewBackward
AvgPool2DBackward
ThresholdBackward1
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnConv2DBackward
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnConv2DBackward
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnConv2DBackward
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThAddBackward
ThnnBatchNormBackward
ThnnConv2DBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
MaxPool2DWithIndicesBackward
ThresholdBackward1
ThnnBatchNormBackward
ThnnConv2DBackward
x
(10, 3, 224, 224)
conv1.weight
(64, 3, 7, 7)
bn1.weight
(64)
bn1.bias
(64)
layer1.0.conv1.weight
(64, 64, 3, 3)
layer1.0.bn1.weight
(64)
layer1.0.bn1.bias
(64)
layer1.0.conv2.weight
(64, 64, 3, 3)
layer1.0.bn2.weight
(64)
layer1.0.bn2.bias
(64)
layer1.1.conv1.weight
(64, 64, 3, 3)
layer1.1.bn1.weight
(64)
layer1.1.bn1.bias
(64)
layer1.1.conv2.weight
(64, 64, 3, 3)
layer1.1.bn2.weight
(64)
layer1.1.bn2.bias
(64)
layer2.0.conv1.weight
(128, 64, 3, 3)
layer2.0.bn1.weight
(128)
layer2.0.bn1.bias
(128)
layer2.0.conv2.weight
(128, 128, 3, 3)
layer2.0.bn2.weight
(128)
layer2.0.bn2.bias
(128)
ThnnBatchNormBackward
layer2.0.downsample.0.weight
(128, 64, 1, 1)
layer2.0.downsample.1.weight
(128)
layer2.0.downsample.1.bias
(128)
layer2.1.conv1.weight
(128, 128, 3, 3)
layer2.1.bn1.weight
(128)
layer2.1.bn1.bias
(128)
layer2.1.conv2.weight
(128, 128, 3, 3)
layer2.1.bn2.weight
(128)
layer2.1.bn2.bias
(128)
layer3.0.conv1.weight
(256, 128, 3, 3)
layer3.0.bn1.weight
(256)
layer3.0.bn1.bias
(256)
layer3.0.conv2.weight
(256, 256, 3, 3)
layer3.0.bn2.weight
(256)
layer3.0.bn2.bias
(256)
ThnnBatchNormBackward
layer3.0.downsample.0.weight
(256, 128, 1, 1)
layer3.0.downsample.1.weight
(256)
layer3.0.downsample.1.bias
(256)
layer3.1.conv1.weight
(256, 256, 3, 3)
layer3.1.bn1.weight
(256)
layer3.1.bn1.bias
(256)
layer3.1.conv2.weight
(256, 256, 3, 3)
layer3.1.bn2.weight
(256)
layer3.1.bn2.bias
(256)
layer4.0.conv1.weight
(512, 256, 3, 3)
layer4.0.bn1.weight
(512)
layer4.0.bn1.bias
(512)
layer4.0.conv2.weight
(512, 512, 3, 3)
layer4.0.bn2.weight
(512)
layer4.0.bn2.bias
(512)
ThnnBatchNormBackward
layer4.0.downsample.0.weight
(512, 256, 1, 1)
layer4.0.downsample.1.weight
(512)
layer4.0.downsample.1.bias
(512)
layer4.1.conv1.weight
(512, 512, 3, 3)
layer4.1.bn1.weight
(512)
layer4.1.bn1.bias
(512)
layer4.1.conv2.weight
(512, 512, 3, 3)
layer4.1.bn2.weight
(512)
layer4.1.bn2.bias
(512)
TBackward
fc.weight
(100, 512)
评论0