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RuntimeError: Error(s) in loading state_dict for Generator3D: Unexpected key(s) in state_dict: "conv_resize_0.weight", "conv_resize_0.bias", "bn_resize_0.weight", "bn_resize_0.bias", "bn_resize_0.running_mean", "bn_resize_0.running_var", "bn_resize_0.num_batches_tracked". size mismatch for conv_minus_1.weight: copying a param with shape torch.Size([512, 3, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 3, 3, 3, 3]). size mismatch for conv_minus_1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_minus_1.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_minus_1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_minus_1.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_minus_1.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for conv_res.0.weight: copying a param with shape torch.Size([512, 512, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3, 3]). size mismatch for conv_res.0.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for conv_res.1.weight: copying a param with shape torch.Size([512, 512, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([256, 256, 3, 3, 3]). size mismatch for conv_res.1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.0.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.0.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.0.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.0.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.1.weight: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.1.running_mean: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]). size mismatch for bn_res.1.running_var: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).

Lee alone
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  • Welcome to stack overflow, please look at [this page on asking questions](https://stackoverflow.com/help/how-to-ask) – coder Jun 07 '22 at 08:36
  • Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking. – Community Jun 07 '22 at 11:49

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