I tried to run test_video_ava.py, but the following error occurred.
$ python3 test_video_ava.py --cfg cfg/ava.yaml
Traceback (most recent call last):
File "test_video_ava.py", line 36, in <module>
model = YOWO(cfg)
File "/home/dl/yowo/YOWO/core/model.py", line 67, in __init__
self.backbone_3d.load_state_dict(backbone_3d_dict) # 3. load the new state dict
File "/home/dl/yowo/yowo/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for DataParallel:
size mismatch for module.layer1.0.conv1.weight: copying a param with shape torch.Size([64, 64, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 64, 1, 1, 1]).
size mismatch for module.layer1.0.bn1.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn1.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn1.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 4, 3, 3, 3]).
size mismatch for module.layer1.0.bn2.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn2.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.bn2.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.0.conv3.weight: copying a param with shape torch.Size([256, 64, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 128, 1, 1, 1]).
size mismatch for module.layer1.1.conv1.weight: copying a param with shape torch.Size([64, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 256, 1, 1, 1]).
size mismatch for module.layer1.1.bn1.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn1.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn1.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 4, 3, 3, 3]).
size mismatch for module.layer1.1.bn2.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn2.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.bn2.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.1.conv3.weight: copying a param with shape torch.Size([256, 64, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 128, 1, 1, 1]).
size mismatch for module.layer1.2.conv1.weight: copying a param with shape torch.Size([64, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 256, 1, 1, 1]).
size mismatch for module.layer1.2.bn1.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn1.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn1.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.conv2.weight: copying a param with shape torch.Size([64, 64, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([128, 4, 3, 3, 3]).
size mismatch for module.layer1.2.bn2.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn2.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.bn2.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]).
size mismatch for module.layer1.2.conv3.weight: copying a param with shape torch.Size([256, 64, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 128, 1, 1, 1]).
size mismatch for module.layer2.0.conv1.weight: copying a param with shape torch.Size([128, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1, 1]).
size mismatch for module.layer2.0.bn1.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn1.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn1.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 8, 3, 3, 3]).
size mismatch for module.layer2.0.bn2.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn2.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.bn2.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.0.conv3.weight: copying a param with shape torch.Size([512, 128, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1, 1]).
size mismatch for module.layer2.1.conv1.weight: copying a param with shape torch.Size([128, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 512, 1, 1, 1]).
size mismatch for module.layer2.1.bn1.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn1.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn1.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 8, 3, 3, 3]).
size mismatch for module.layer2.1.bn2.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn2.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.bn2.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.1.conv3.weight: copying a param with shape torch.Size([512, 128, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1, 1]).
size mismatch for module.layer2.2.conv1.weight: copying a param with shape torch.Size([128, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 512, 1, 1, 1]).
size mismatch for module.layer2.2.bn1.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn1.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn1.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 8, 3, 3, 3]).
size mismatch for module.layer2.2.bn2.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn2.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.bn2.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.2.conv3.weight: copying a param with shape torch.Size([512, 128, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1, 1]).
size mismatch for module.layer2.3.conv1.weight: copying a param with shape torch.Size([128, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 512, 1, 1, 1]).
size mismatch for module.layer2.3.bn1.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn1.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn1.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.conv2.weight: copying a param with shape torch.Size([128, 128, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 8, 3, 3, 3]).
size mismatch for module.layer2.3.bn2.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn2.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.bn2.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]).
size mismatch for module.layer2.3.conv3.weight: copying a param with shape torch.Size([512, 128, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1, 1]).
size mismatch for module.layer3.0.conv1.weight: copying a param with shape torch.Size([256, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1, 1]).
size mismatch for module.layer3.0.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.0.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.0.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.1.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.1.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.1.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.1.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.2.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.2.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.2.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.2.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.3.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.3.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.3.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.3.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.4.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.4.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.4.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.4.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.5.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.5.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.5.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.5.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.6.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.6.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.6.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.6.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.7.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.7.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.7.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.7.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.8.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.8.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.8.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.8.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.9.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.9.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.9.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.9.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.10.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.10.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.10.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.10.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.11.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.11.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.11.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.11.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.12.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.12.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.12.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.12.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.13.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.13.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.13.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.13.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.14.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.14.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.14.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.14.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.15.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.15.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.15.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.15.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.16.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.16.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.16.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.16.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.17.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.17.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.17.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.17.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.18.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.18.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.18.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.18.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.19.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.19.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.19.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.19.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.20.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.20.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.20.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.20.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.21.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.21.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.21.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.21.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer3.22.conv1.weight: copying a param with shape torch.Size([256, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 1024, 1, 1, 1]).
size mismatch for module.layer3.22.bn1.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn1.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn1.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.conv2.weight: copying a param with shape torch.Size([256, 256, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 16, 3, 3, 3]).
size mismatch for module.layer3.22.bn2.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn2.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.bn2.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for module.layer3.22.conv3.weight: copying a param with shape torch.Size([1024, 256, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 512, 1, 1, 1]).
size mismatch for module.layer4.0.conv1.weight: copying a param with shape torch.Size([512, 1024, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 1024, 1, 1, 1]).
size mismatch for module.layer4.0.bn1.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn1.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn1.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.conv2.weight: copying a param with shape torch.Size([512, 512, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 32, 3, 3, 3]).
size mismatch for module.layer4.0.bn2.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn2.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.bn2.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.0.conv3.weight: copying a param with shape torch.Size([2048, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([2048, 1024, 1, 1, 1]).
size mismatch for module.layer4.1.conv1.weight: copying a param with shape torch.Size([512, 2048, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 2048, 1, 1, 1]).
size mismatch for module.layer4.1.bn1.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn1.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn1.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.conv2.weight: copying a param with shape torch.Size([512, 512, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 32, 3, 3, 3]).
size mismatch for module.layer4.1.bn2.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn2.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.bn2.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.1.conv3.weight: copying a param with shape torch.Size([2048, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([2048, 1024, 1, 1, 1]).
size mismatch for module.layer4.2.conv1.weight: copying a param with shape torch.Size([512, 2048, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1024, 2048, 1, 1, 1]).
size mismatch for module.layer4.2.bn1.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn1.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn1.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.conv2.weight: copying a param with shape torch.Size([512, 512, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([1024, 32, 3, 3, 3]).
size mismatch for module.layer4.2.bn2.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn2.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn2.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.bn2.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).
size mismatch for module.layer4.2.conv3.weight: copying a param with shape torch.Size([2048, 512, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([2048, 1024, 1, 1, 1]).
I tried to run test_video_ava.py, but the following error occurred.
Please let me know how to fix it.