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Chiaraplizz / ST-TR

Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition
MIT License
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code can't run with Kinetics pre-trained models #31

Closed LucasTomazini closed 2 years ago

LucasTomazini commented 2 years ago

Hi Chiara.

I have an error when I run main.py with pre-trained models:

python main.py --phase test --weights /home/lucas/Desktop/ST-TR/checkpoint_ST-TR/kinetics_temporal.pt

ERROR:

Traceback (most recent call last): File "main.py", line 972, in processor = Processor(arg) File "main.py", line 234, in init self.load_model() File "main.py", line 354, in load_model self.model.load_state_dict(state) File "/home/lucas/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1406, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Model: size mismatch for data_bn.weight: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.bias: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.running_mean: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.running_var: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for backbone.0.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.0.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.1.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.2.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.3.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.conv.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.3.tcn1.down.conv.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.3.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.3.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.3.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.conv.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.down1.conv.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.4.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.4.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.5.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.5.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.6.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.6.tcn1.down.conv.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.6.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.6.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.6.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.conv.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.down1.conv.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.7.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.7.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.8.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.8.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for gcn0.conv_list.0.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.conv_list.1.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.conv_list.2.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for tcn0.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for person_bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for fcn.weight: copying a param with shape torch.Size([400, 256, 1]) from checkpoint, the shape in current model is torch.Size([400, 512, 1]).

Could you help me? tks

Chiaraplizz commented 2 years ago

Hi Chiara.

I have an error when I run main.py with pre-trained models:

python main.py --phase test --weights /home/lucas/Desktop/ST-TR/checkpoint_ST-TR/kinetics_temporal.pt

ERROR:

Traceback (most recent call last): File "main.py", line 972, in processor = Processor(arg) File "main.py", line 234, in init self.load_model() File "main.py", line 354, in load_model self.model.load_state_dict(state) File "/home/lucas/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1406, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Model: size mismatch for data_bn.weight: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.bias: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.running_mean: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for data_bn.running_var: copying a param with shape torch.Size([108]) from checkpoint, the shape in current model is torch.Size([216]). size mismatch for backbone.0.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.0.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.0.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.0.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.1.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.1.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.1.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.0.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.1.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.conv_list.2.weight: copying a param with shape torch.Size([64, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 1, 1]). size mismatch for backbone.2.gcn1.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.gcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for backbone.2.tcn1.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.2.tcn1.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for backbone.3.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.conv.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.3.tcn1.down.conv.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.down.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.3.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.3.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.3.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.3.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.conv.weight: copying a param with shape torch.Size([128, 67, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 134, 1, 1]). size mismatch for backbone.3.down1.conv.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.3.down1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.4.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.4.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.4.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.4.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.4.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.0.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.0.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.1.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.1.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.conv_list.2.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.gcn1.conv_list.2.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.gcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.weight: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.running_mean: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.bn.running_var: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.5.tcn1.data_bn.weight: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.bias: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.running_mean: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.data_bn.running_var: copying a param with shape torch.Size([2304]) from checkpoint, the shape in current model is torch.Size([4608]). size mismatch for backbone.5.tcn1.qkv_conv.weight: copying a param with shape torch.Size([192, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([384, 256, 1, 1]). size mismatch for backbone.5.tcn1.qkv_conv.bias: copying a param with shape torch.Size([192]) from checkpoint, the shape in current model is torch.Size([384]). size mismatch for backbone.5.tcn1.attn_out.weight: copying a param with shape torch.Size([128, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([256, 256, 1, 1]). size mismatch for backbone.5.tcn1.attn_out.bias: copying a param with shape torch.Size([128]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for backbone.6.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.conv.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.6.tcn1.down.conv.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.down.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.6.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.6.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.6.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.6.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.conv.weight: copying a param with shape torch.Size([256, 128, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 256, 1, 1]). size mismatch for backbone.6.down1.conv.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.6.down1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.7.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.7.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.7.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.7.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.7.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.0.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.0.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.1.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.1.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.conv_list.2.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.gcn1.conv_list.2.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.gcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for backbone.8.tcn1.data_bn.weight: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.bias: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.running_mean: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.data_bn.running_var: copying a param with shape torch.Size([4608]) from checkpoint, the shape in current model is torch.Size([9216]). size mismatch for backbone.8.tcn1.qkv_conv.weight: copying a param with shape torch.Size([384, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([768, 512, 1, 1]). size mismatch for backbone.8.tcn1.qkv_conv.bias: copying a param with shape torch.Size([384]) from checkpoint, the shape in current model is torch.Size([768]). size mismatch for backbone.8.tcn1.attn_out.weight: copying a param with shape torch.Size([256, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([512, 512, 1, 1]). size mismatch for backbone.8.tcn1.attn_out.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for gcn0.conv_list.0.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.0.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.conv_list.1.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.1.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.conv_list.2.weight: copying a param with shape torch.Size([64, 3, 1, 1]) from checkpoint, the shape in current model is torch.Size([128, 6, 1, 1]). size mismatch for gcn0.conv_list.2.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for gcn0.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.conv.weight: copying a param with shape torch.Size([64, 64, 9, 1]) from checkpoint, the shape in current model is torch.Size([128, 128, 9, 1]). size mismatch for tcn0.conv.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.weight: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.bias: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.running_mean: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for tcn0.bn.running_var: copying a param with shape torch.Size([64]) from checkpoint, the shape in current model is torch.Size([128]). size mismatch for person_bn.weight: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.bias: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.running_mean: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for person_bn.running_var: copying a param with shape torch.Size([256]) from checkpoint, the shape in current model is torch.Size([512]). size mismatch for fcn.weight: copying a param with shape torch.Size([400, 256, 1]) from checkpoint, the shape in current model is torch.Size([400, 512, 1]).

Could you help me? tks

Dear Lucas,

It seems you are loading a model trained with joints only, but you are setting double_channels = True, as it should be done with joint+bone information. Try to just set double_channels = False 😊

Chiara