mobile_gallery_pytorch_06_freeze_2.py

for name, param in model.named_parameters():
    print('name: {} has requires_grad: {}'.format(name, param.requires_grad))

mobile_gallery_pytorch_06_freeze_2_output.py

name: conv1.weight has requires_grad: False
name: bn1.weight has requires_grad: False
name: bn1.bias has requires_grad: False
name: layer1.0.conv1.weight has requires_grad: False
name: layer1.0.bn1.weight has requires_grad: False
name: layer1.0.bn1.bias has requires_grad: False
name: layer1.0.conv2.weight has requires_grad: False
name: layer1.0.bn2.weight has requires_grad: False
name: layer1.0.bn2.bias has requires_grad: False
name: layer1.1.conv1.weight has requires_grad: False
name: layer1.1.bn1.weight has requires_grad: False
name: layer1.1.bn1.bias has requires_grad: False
name: layer1.1.conv2.weight has requires_grad: False
name: layer1.1.bn2.weight has requires_grad: False
name: layer1.1.bn2.bias has requires_grad: False
name: layer1.2.conv1.weight has requires_grad: False
name: layer1.2.bn1.weight has requires_grad: False
name: layer1.2.bn1.bias has requires_grad: False
name: layer1.2.conv2.weight has requires_grad: False
name: layer1.2.bn2.weight has requires_grad: False
name: layer1.2.bn2.bias has requires_grad: False
name: layer2.0.conv1.weight has requires_grad: False
name: layer2.0.bn1.weight has requires_grad: False
name: layer2.0.bn1.bias has requires_grad: False
name: layer2.0.conv2.weight has requires_grad: False
name: layer2.0.bn2.weight has requires_grad: False
name: layer2.0.bn2.bias has requires_grad: False
name: layer2.0.downsample.0.weight has requires_grad: False
name: layer2.0.downsample.1.weight has requires_grad: False
name: layer2.0.downsample.1.bias has requires_grad: False
name: layer2.1.conv1.weight has requires_grad: False
name: layer2.1.bn1.weight has requires_grad: False
name: layer2.1.bn1.bias has requires_grad: False
name: layer2.1.conv2.weight has requires_grad: False
name: layer2.1.bn2.weight has requires_grad: False
name: layer2.1.bn2.bias has requires_grad: False
name: layer2.2.conv1.weight has requires_grad: False
name: layer2.2.bn1.weight has requires_grad: False
name: layer2.2.bn1.bias has requires_grad: False
name: layer2.2.conv2.weight has requires_grad: False
name: layer2.2.bn2.weight has requires_grad: False
name: layer2.2.bn2.bias has requires_grad: False
name: layer2.3.conv1.weight has requires_grad: False
name: layer2.3.bn1.weight has requires_grad: False
name: layer2.3.bn1.bias has requires_grad: False
name: layer2.3.conv2.weight has requires_grad: False
name: layer2.3.bn2.weight has requires_grad: False
name: layer2.3.bn2.bias has requires_grad: False
name: layer3.0.conv1.weight has requires_grad: False
name: layer3.0.bn1.weight has requires_grad: False
name: layer3.0.bn1.bias has requires_grad: False
name: layer3.0.conv2.weight has requires_grad: False
name: layer3.0.bn2.weight has requires_grad: False
name: layer3.0.bn2.bias has requires_grad: False
name: layer3.0.downsample.0.weight has requires_grad: False
name: layer3.0.downsample.1.weight has requires_grad: False
name: layer3.0.downsample.1.bias has requires_grad: False
name: layer3.1.conv1.weight has requires_grad: False
name: layer3.1.bn1.weight has requires_grad: False
name: layer3.1.bn1.bias has requires_grad: False
name: layer3.1.conv2.weight has requires_grad: False
name: layer3.1.bn2.weight has requires_grad: False
name: layer3.1.bn2.bias has requires_grad: False
name: layer3.2.conv1.weight has requires_grad: False
name: layer3.2.bn1.weight has requires_grad: False
name: layer3.2.bn1.bias has requires_grad: False
name: layer3.2.conv2.weight has requires_grad: False
name: layer3.2.bn2.weight has requires_grad: False
name: layer3.2.bn2.bias has requires_grad: False
name: layer3.3.conv1.weight has requires_grad: False
name: layer3.3.bn1.weight has requires_grad: False
name: layer3.3.bn1.bias has requires_grad: False
name: layer3.3.conv2.weight has requires_grad: False
name: layer3.3.bn2.weight has requires_grad: False
name: layer3.3.bn2.bias has requires_grad: False
name: layer3.4.conv1.weight has requires_grad: False
name: layer3.4.bn1.weight has requires_grad: False
name: layer3.4.bn1.bias has requires_grad: False
name: layer3.4.conv2.weight has requires_grad: False
name: layer3.4.bn2.weight has requires_grad: False
name: layer3.4.bn2.bias has requires_grad: False
name: layer3.5.conv1.weight has requires_grad: False
name: layer3.5.bn1.weight has requires_grad: False
name: layer3.5.bn1.bias has requires_grad: False
name: layer3.5.conv2.weight has requires_grad: False
name: layer3.5.bn2.weight has requires_grad: False
name: layer3.5.bn2.bias has requires_grad: False
name: layer4.0.conv1.weight has requires_grad: True
name: layer4.0.bn1.weight has requires_grad: True
name: layer4.0.bn1.bias has requires_grad: True
name: layer4.0.conv2.weight has requires_grad: True
name: layer4.0.bn2.weight has requires_grad: True
name: layer4.0.bn2.bias has requires_grad: True
name: layer4.0.downsample.0.weight has requires_grad: True
name: layer4.0.downsample.1.weight has requires_grad: True
name: layer4.0.downsample.1.bias has requires_grad: True
name: layer4.1.conv1.weight has requires_grad: True
name: layer4.1.bn1.weight has requires_grad: True
name: layer4.1.bn1.bias has requires_grad: True
name: layer4.1.conv2.weight has requires_grad: True
name: layer4.1.bn2.weight has requires_grad: True
name: layer4.1.bn2.bias has requires_grad: True
name: layer4.2.conv1.weight has requires_grad: True
name: layer4.2.bn1.weight has requires_grad: True
name: layer4.2.bn1.bias has requires_grad: True
name: layer4.2.conv2.weight has requires_grad: True
name: layer4.2.bn2.weight has requires_grad: True
name: layer4.2.bn2.bias has requires_grad: True
name: fc.weight has requires_grad: True
name: fc.bias has requires_grad: True