deepdream | Master-IASD | ourasi | Error | 0 | 1000 | 0 | 0 | bytes: b'\r 0%- - 0/9912422 [00:00, ?it/s]\r 37%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x8b - 3702784/9912422 [00:00<00:00, 31624756.65it/s]\r 76%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x8c - 7503872/9912422 [00:00<00:00, 26118414.66it/s]\r100%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88- 9912422/9912422 [00:00<00:00, 32960052.42it/s]\n\r 0%- - 0/28881 [00:00, ?it/s]\r100%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88- 28881/28881 [00:00<00:00, 48629343.16it/s]\n\r 0%- - 0/1648877 [00:00, ?it/s]\r100%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88- 1648877/1648877 [00:00<00:00, 20931367.87it/s]\n\r 0%- - 0/4542 [00:00, ?it/s]\r100%-\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88- 4542/4542 [00:00<00:00, 9587583.68it/s]\nTraceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a2/repos/Master-IASD/deepdream/generate.py", line 22, in \n vanilla_gan.load_weights()\n File "/home/lamsade/testplatform/test-platform-a2/repos/Master-IASD/deepdream/algorithms/vanilla_gan.py", line 270, 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 DC_generator:\n\tMissing key(s) in state_dict: "linear1.weight", "linear1.bias", "bn1.weight", "bn1.bias", "bn1.running_mean", "bn1.running_var", "deconv1.weight", "deconv1.bias", "bn2.weight", "bn2.bias", "bn2.running_mean", "bn2.running_var", "deconv2.weight", "deconv2.bias", "bn3.weight", "bn3.bias", "bn3.running_mean", "bn3.running_var", "deconv3.weight", "deconv3.bias". \n\tUnexpected key(s) in state_dict: "fc1.weight", "fc1.bias", "fc2.weight", "fc2.bias", "fc3.weight", "fc3.bias", "fc4.weight", "fc4.bias". \n' |