deepdream | Master-IASD | ourasi | Error | 0 | 1000 | 0 | 0 | bytes: b'\r 0%- - 0/9912422 [00:00\n vanilla_gan.load_weights()\n File "/home/lamsade/testplatform/test-platform-a2/repos/Master-IASD/deepdream/algorithms/vanilla_gan.py", line 122, in load_weights\n self.generator.load_state_dict(torch.load(abs_file_path))\n File "/home/lamsade/testplatform/test-platform-a2/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict\n raise RuntimeError(\'Error(s) in loading state_dict for {}:\\n\\t{}\'.format(\nRuntimeError: Error(s) in loading state_dict for Generator:\n\tsize mismatch for fc1.weight: copying a param with shape torch.Size([512, 100]) from checkpoint, the shape in current model is torch.Size([256, 100]).\n\tsize mismatch for fc1.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([256]).\n\tsize mismatch for fc2.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([512, 256]).\n\tsize mismatch for fc3.weight: copying a param with shape torch.Size([512, 512]) from checkpoint, the shape in current model is torch.Size([1024, 512]).\n\tsize mismatch for fc3.bias: copying a param with shape torch.Size([512]) from checkpoint, the shape in current model is torch.Size([1024]).\n\tsize mismatch for fc4.weight: copying a param with shape torch.Size([784, 512]) from checkpoint, the shape in current model is torch.Size([784, 1024]).\n' |