/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale/shell_scripts
Mon May 20 22:01:54 EDT 2019
Mon May 20 22:01:57 EDT 2019
Now testing Resnext lr=0.1
Data loaded into gpu
/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale
/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale
<torch.utils.data.dataloader.DataLoader object at 0x2aaafe0072b0>
epoch_10.pth
{0: 'water', 1: 'whale'}
1
2
Exception ignored in: <function _DataLoaderIter.__del__ at 0x2aaaf42f4378>
Traceback (most recent call last):
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 399, in __del__
    self._shutdown_workers()
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 378, in _shutdown_workers
    self.worker_result_queue.get()
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/queues.py", line 354, in get
    return _ForkingPickler.loads(res)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/multiprocessing/reductions.py", line 151, in rebuild_storage_fd
    fd = df.detach()
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/resource_sharer.py", line 57, in detach
    with _resource_sharer.get_connection(self._id) as conn:
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/resource_sharer.py", line 87, in get_connection
    c = Client(address, authkey=process.current_process().authkey)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/connection.py", line 498, in Client
    answer_challenge(c, authkey)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/connection.py", line 741, in answer_challenge
    message = connection.recv_bytes(256)         # reject large message
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/connection.py", line 216, in recv_bytes
    buf = self._recv_bytes(maxlength)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/connection.py", line 407, in _recv_bytes
    buf = self._recv(4)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/multiprocessing/connection.py", line 383, in _recv
    raise EOFError
EOFError: 
3
Traceback (most recent call last):
  File "test_script.py", line 120, in <module>
    s.test_dir(device,model_ft,dataloaders)
  File "/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale/m_util2.py", line 196, in test_dir
    outputs = model_ft(im)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/nn/modules/module.py", line 477, in __call__
    result = self.forward(*input, **kwargs)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/nn/modules/container.py", line 91, in forward
    input = module(input)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/nn/modules/module.py", line 477, in __call__
    result = self.forward(*input, **kwargs)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 301, in forward
    self.padding, self.dilation, self.groups)
RuntimeError: sizes must be non-negative
Mon May 20 22:02:06 EDT 2019
Now testing Resnext lr=0.2
Data loaded into gpu
/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale
/gpfs/projects/LynchGroup/spacewhale/git_spacewhale/spacewhale
Traceback (most recent call last):
  File "test_script.py", line 92, in <module>
    model_ft.load_state_dict(temp_state_dict)
  File "/gpfs/projects/LynchGroup/spacewhale/space_env/lib/python3.7/site-packages/torch/nn/modules/module.py", line 719, in load_state_dict
    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for Sequential:
	Missing key(s) in state_dict: "0.weight", "1.bias", "1.running_mean", "1.running_var", "4.0.0.0.0.0.weight", "4.0.0.0.0.1.weight", "4.0.0.0.0.1.bias", "4.0.0.0.0.1.running_mean", "4.0.0.0.0.1.running_var", "4.0.0.0.0.3.weight", "4.0.0.0.0.4.weight", "4.0.0.0.0.4.bias", "4.0.0.0.0.4.running_mean", "4.0.0.0.0.4.running_var", "4.0.0.0.1.weight", "4.0.0.0.2.weight", "4.0.0.0.2.bias", "4.0.0.0.2.running_mean", "4.0.0.0.2.running_var", "4.0.0.1.0.weight", "4.0.0.1.1.weight", "4.0.0.1.1.bias", "4.0.0.1.1.running_mean", "4.0.0.1.1.running_var", "4.1.0.0.0.0.weight", "4.1.0.0.0.1.weight", "4.1.0.0.0.1.bias", "4.1.0.0.0.1.running_mean", "4.1.0.0.0.1.running_var", "4.1.0.0.0.3.weight", "4.1.0.0.0.4.weight", "4.1.0.0.0.4.bias", "4.1.0.0.0.4.running_mean", "4.1.0.0.0.4.running_var", "4.1.0.0.1.weight", "4.1.0.0.2.weight", "4.1.0.0.2.bias", "4.1.0.0.2.running_mean", "4.1.0.0.2.running_var", "4.2.0.0.0.0.weight", "4.2.0.0.0.1.weight", "4.2.0.0.0.1.bias", "4.2.0.0.0.1.running_mean", "4.2.0.0.0.1.running_var", "4.2.0.0.0.3.weight", "4.2.0.0.0.4.weight", "4.2.0.0.0.4.bias", "4.2.0.0.0.4.running_mean", "4.2.0.0.0.4.running_var", "4.2.0.0.1.weight", "4.2.0.0.2.weight", "4.2.0.0.2.bias", "4.2.0.0.2.running_mean", "4.2.0.0.2.running_var", "5.0.0.0.0.0.weight", "5.0.0.0.0.1.weight", "5.0.0.0.0.1.bias", "5.0.0.0.0.1.running_mean", "5.0.0.0.0.1.running_var", "5.0.0.0.0.3.weight", "5.0.0.0.0.4.weight", "5.0.0.0.0.4.bias", "5.0.0.0.0.4.running_mean", "5.0.0.0.0.4.running_var", "5.0.0.0.1.weight", "5.0.0.0.2.weight", "5.0.0.0.2.bias", "5.0.0.0.2.running_mean", "5.0.0.0.2.running_var", "5.0.0.1.0.weight", "5.0.0.1.1.weight", "5.0.0.1.1.bias", "5.0.0.1.1.running_mean", "5.0.0.1.1.running_var", "5.1.0.0.0.0.weight", "5.1.0.0.0.1.weight", "5.1.0.0.0.1.bias", "5.1.0.0.0.1.running_mean", "5.1.0.0.0.1.running_var", "5.1.0.0.0.3.weight", "5.1.0.0.0.4.weight", "5.1.0.0.0.4.bias", "5.1.0.0.0.4.running_mean", "5.1.0.0.0.4.running_var", "5.1.0.0.1.weight", "5.1.0.0.2.weight", "5.1.0.0.2.bias", "5.1.0.0.2.running_mean", "5.1.0.0.2.running_var", "5.2.0.0.0.0.weight", "5.2.0.0.0.1.weight", "5.2.0.0.0.1.bias", "5.2.0.0.0.1.running_mean", "5.2.0.0.0.1.running_var", "5.2.0.0.0.3.weight", "5.2.0.0.0.4.weight", "5.2.0.0.0.4.bias", "5.2.0.0.0.4.running_mean", "5.2.0.0.0.4.running_var", "5.2.0.0.1.weight", "5.2.0.0.2.weight", "5.2.0.0.2.bias", "5.2.0.0.2.running_mean", "5.2.0.0.2.running_var", "5.3.0.0.0.0.weight", "5.3.0.0.0.1.weight", "5.3.0.0.0.1.bias", "5.3.0.0.0.1.running_mean", "5.3.0.0.0.1.running_var", "5.3.0.0.0.3.weight", "5.3.0.0.0.4.weight", "5.3.0.0.0.4.bias", "5.3.0.0.0.4.running_mean", "5.3.0.0.0.4.running_var", "5.3.0.0.1.weight", "5.3.0.0.2.weight", "5.3.0.0.2.bias", "5.3.0.0.2.running_mean", "5.3.0.0.2.running_var", "6.0.0.0.0.0.weight", "6.0.0.0.0.1.weight", "6.0.0.0.0.1.bias", "6.0.0.0.0.1.running_mean", "6.0.0.0.0.1.running_var", "6.0.0.0.0.3.weight", "6.0.0.0.0.4.weight", "6.0.0.0.0.4.bias", "6.0.0.0.0.4.running_mean", "6.0.0.0.0.4.running_var", "6.0.0.0.1.weight", "6.0.0.0.2.weight", "6.0.0.0.2.bias", "6.0.0.0.2.running_mean", "6.0.0.0.2.running_var", "6.0.0.1.0.weight", "6.0.0.1.1.weight", "6.0.0.1.1.bias", "6.0.0.1.1.running_mean", "6.0.0.1.1.running_var", "6.1.0.0.0.0.weight", "6.1.0.0.0.1.weight", "6.1.0.0.0.1.bias", "6.1.0.0.0.1.running_mean", "6.1.0.0.0.1.running_var", "6.1.0.0.0.3.weight", "6.1.0.0.0.4.weight", "6.1.0.0.0.4.bias", "6.1.0.0.0.4.running_mean", "6.1.0.0.0.4.running_var", "6.1.0.0.1.weight", "6.1.0.0.2.weight", "6.1.0.0.2.bias", "6.1.0.0.2.running_mean", "6.1.0.0.2.running_var", "6.2.0.0.0.0.weight", "6.2.0.0.0.1.weight", "6.2.0.0.0.1.bias", "6.2.0.0.0.1.running_mean", "6.2.0.0.0.1.running_var", "6.2.0.0.0.3.weight", "6.2.0.0.0.4.weight", "6.2.0.0.0.4.bias", "6.2.0.0.0.4.running_mean", "6.2.0.0.0.4.running_var", "6.2.0.0.1.weight", "6.2.0.0.2.weight", "6.2.0.0.2.bias", "6.2.0.0.2.running_mean", "6.2.0.0.2.running_var", "6.3.0.0.0.0.weight", "6.3.0.0.0.1.weight", "6.3.0.0.0.1.bias", "6.3.0.0.0.1.running_mean", "6.3.0.0.0.1.running_var", "6.3.0.0.0.3.weight", "6.3.0.0.0.4.weight", "6.3.0.0.0.4.bias", "6.3.0.0.0.4.running_mean", "6.3.0.0.0.4.running_var", "6.3.0.0.1.weight", "6.3.0.0.2.weight", "6.3.0.0.2.bias", "6.3.0.0.2.running_mean", "6.3.0.0.2.running_var", "6.4.0.0.0.0.weight", "6.4.0.0.0.1.weight", "6.4.0.0.0.1.bias", "6.4.0.0.0.1.running_mean", "6.4.0.0.0.1.running_var", "6.4.0.0.0.3.weight", "6.4.0.0.0.4.weight", "6.4.0.0.0.4.bias", "6.4.0.0.0.4.running_mean", "6.4.0.0.0.4.running_var", "6.4.0.0.1.weight", "6.4.0.0.2.weight", "6.4.0.0.2.bias", "6.4.0.0.2.running_mean", "6.4.0.0.2.running_var", "6.5.0.0.0.0.weight", "6.5.0.0.0.1.weight", "6.5.0.0.0.1.bias", "6.5.0.0.0.1.running_mean", "6.5.0.0.0.1.running_var", "6.5.0.0.0.3.weight", "6.5.0.0.0.4.weight", "6.5.0.0.0.4.bias", "6.5.0.0.0.4.running_mean", "6.5.0.0.0.4.running_var", "6.5.0.0.1.weight", "6.5.0.0.2.weight", "6.5.0.0.2.bias", "6.5.0.0.2.running_mean", "6.5.0.0.2.running_var", "6.6.0.0.0.0.weight", "6.6.0.0.0.1.weight", "6.6.0.0.0.1.bias", "6.6.0.0.0.1.running_mean", "6.6.0.0.0.1.running_var", "6.6.0.0.0.3.weight", "6.6.0.0.0.4.weight", "6.6.0.0.0.4.bias", "6.6.0.0.0.4.running_mean", "6.6.0.0.0.4.running_var", "6.6.0.0.1.weight", "6.6.0.0.2.weight", "6.6.0.0.2.bias", "6.6.0.0.2.running_mean", "6.6.0.0.2.running_var", "6.7.0.0.0.0.weight", "6.7.0.0.0.1.weight", "6.7.0.0.0.1.bias", "6.7.0.0.0.1.running_mean", "6.7.0.0.0.1.running_var", "6.7.0.0.0.3.weight", "6.7.0.0.0.4.weight", "6.7.0.0.0.4.bias", "6.7.0.0.0.4.running_mean", "6.7.0.0.0.4.running_var", "6.7.0.0.1.weight", "6.7.0.0.2.weight", "6.7.0.0.2.bias", "6.7.0.0.2.running_mean", "6.7.0.0.2.running_var", "6.8.0.0.0.0.weight", "6.8.0.0.0.1.weight", "6.8.0.0.0.1.bias", "6.8.0.0.0.1.running_mean", "6.8.0.0.0.1.running_var", "6.8.0.0.0.3.weight", "6.8.0.0.0.4.weight", "6.8.0.0.0.4.bias", "6.8.0.0.0.4.running_mean", "6.8.0.0.0.4.running_var", "6.8.0.0.1.weight", "6.8.0.0.2.weight", "6.8.0.0.2.bias", "6.8.0.0.2.running_mean", "6.8.0.0.2.running_var", "6.9.0.0.0.0.weight", "6.9.0.0.0.1.weight", "6.9.0.0.0.1.bias", "6.9.0.0.0.1.running_mean", "6.9.0.0.0.1.running_var", "6.9.0.0.0.3.weight", "6.9.0.0.0.4.weight", "6.9.0.0.0.4.bias", "6.9.0.0.0.4.running_mean", "6.9.0.0.0.4.running_var", "6.9.0.0.1.weight", "6.9.0.0.2.weight", "6.9.0.0.2.bias", "6.9.0.0.2.running_mean", "6.9.0.0.2.running_var", "6.10.0.0.0.0.weight", "6.10.0.0.0.1.weight", "6.10.0.0.0.1.bias", "6.10.0.0.0.1.running_mean", "6.10.0.0.0.1.running_var", "6.10.0.0.0.3.weight", "6.10.0.0.0.4.weight", "6.10.0.0.0.4.bias", "6.10.0.0.0.4.running_mean", "6.10.0.0.0.4.running_var", "6.10.0.0.1.weight", "6.10.0.0.2.weight", "6.10.0.0.2.bias", "6.10.0.0.2.running_mean", "6.10.0.0.2.running_var", "6.11.0.0.0.0.weight", "6.11.0.0.0.1.weight", "6.11.0.0.0.1.bias", "6.11.0.0.0.1.running_mean", "6.11.0.0.0.1.running_var", "6.11.0.0.0.3.weight", "6.11.0.0.0.4.weight", "6.11.0.0.0.4.bias", "6.11.0.0.0.4.running_mean", "6.11.0.0.0.4.running_var", "6.11.0.0.1.weight", "6.11.0.0.2.weight", "6.11.0.0.2.bias", "6.11.0.0.2.running_mean", "6.11.0.0.2.running_var", "6.12.0.0.0.0.weight", "6.12.0.0.0.1.weight", "6.12.0.0.0.1.bias", "6.12.0.0.0.1.running_mean", "6.12.0.0.0.1.running_var", "6.12.0.0.0.3.weight", "6.12.0.0.0.4.weight", "6.12.0.0.0.4.bias", "6.12.0.0.0.4.running_mean", "6.12.0.0.0.4.running_var", "6.12.0.0.1.weight", "6.12.0.0.2.weight", "6.12.0.0.2.bias", "6.12.0.0.2.running_mean", "6.12.0.0.2.running_var", "6.13.0.0.0.0.weight", "6.13.0.0.0.1.weight", "6.13.0.0.0.1.bias", "6.13.0.0.0.1.running_mean", "6.13.0.0.0.1.running_var", "6.13.0.0.0.3.weight", "6.13.0.0.0.4.weight", "6.13.0.0.0.4.bias", "6.13.0.0.0.4.running_mean", "6.13.0.0.0.4.running_var", "6.13.0.0.1.weight", "6.13.0.0.2.weight", "6.13.0.0.2.bias", "6.13.0.0.2.running_mean", "6.13.0.0.2.running_var", "6.14.0.0.0.0.weight", "6.14.0.0.0.1.weight", "6.14.0.0.0.1.bias", "6.14.0.0.0.1.running_mean", "6.14.0.0.0.1.running_var", "6.14.0.0.0.3.weight", "6.14.0.0.0.4.weight", "6.14.0.0.0.4.bias", "6.14.0.0.0.4.running_mean", "6.14.0.0.0.4.running_var", "6.14.0.0.1.weight", "6.14.0.0.2.weight", "6.14.0.0.2.bias", "6.14.0.0.2.running_mean", "6.14.0.0.2.running_var", "6.15.0.0.0.0.weight", "6.15.0.0.0.1.weight", "6.15.0.0.0.1.bias", "6.15.0.0.0.1.running_mean", "6.15.0.0.0.1.running_var", "6.15.0.0.0.3.weight", "6.15.0.0.0.4.weight", "6.15.0.0.0.4.bias", "6.15.0.0.0.4.running_mean", "6.15.0.0.0.4.running_var", "6.15.0.0.1.weight", "6.15.0.0.2.weight", "6.15.0.0.2.bias", "6.15.0.0.2.running_mean", "6.15.0.0.2.running_var", "6.16.0.0.0.0.weight", "6.16.0.0.0.1.weight", "6.16.0.0.0.1.bias", "6.16.0.0.0.1.running_mean", "6.16.0.0.0.1.running_var", "6.16.0.0.0.3.weight", "6.16.0.0.0.4.weight", "6.16.0.0.0.4.bias", "6.16.0.0.0.4.running_mean", "6.16.0.0.0.4.running_var", "6.16.0.0.1.weight", "6.16.0.0.2.weight", "6.16.0.0.2.bias", "6.16.0.0.2.running_mean", "6.16.0.0.2.running_var", "6.17.0.0.0.0.weight", "6.17.0.0.0.1.weight", "6.17.0.0.0.1.bias", "6.17.0.0.0.1.running_mean", "6.17.0.0.0.1.running_var", "6.17.0.0.0.3.weight", "6.17.0.0.0.4.weight", "6.17.0.0.0.4.bias", "6.17.0.0.0.4.running_mean", "6.17.0.0.0.4.running_var", "6.17.0.0.1.weight", "6.17.0.0.2.weight", "6.17.0.0.2.bias", "6.17.0.0.2.running_mean", "6.17.0.0.2.running_var", "6.18.0.0.0.0.weight", "6.18.0.0.0.1.weight", "6.18.0.0.0.1.bias", "6.18.0.0.0.1.running_mean", "6.18.0.0.0.1.running_var", "6.18.0.0.0.3.weight", "6.18.0.0.0.4.weight", "6.18.0.0.0.4.bias", "6.18.0.0.0.4.running_mean", "6.18.0.0.0.4.running_var", "6.18.0.0.1.weight", "6.18.0.0.2.weight", "6.18.0.0.2.bias", "6.18.0.0.2.running_mean", "6.18.0.0.2.running_var", "6.19.0.0.0.0.weight", "6.19.0.0.0.1.weight", "6.19.0.0.0.1.bias", "6.19.0.0.0.1.running_mean", "6.19.0.0.0.1.running_var", "6.19.0.0.0.3.weight", "6.19.0.0.0.4.weight", "6.19.0.0.0.4.bias", "6.19.0.0.0.4.running_mean", "6.19.0.0.0.4.running_var", "6.19.0.0.1.weight", "6.19.0.0.2.weight", "6.19.0.0.2.bias", "6.19.0.0.2.running_mean", "6.19.0.0.2.running_var", "6.20.0.0.0.0.weight", "6.20.0.0.0.1.weight", "6.20.0.0.0.1.bias", "6.20.0.0.0.1.running_mean", "6.20.0.0.0.1.running_var", "6.20.0.0.0.3.weight", "6.20.0.0.0.4.weight", "6.20.0.0.0.4.bias", "6.20.0.0.0.4.running_mean", "6.20.0.0.0.4.running_var", "6.20.0.0.1.weight", "6.20.0.0.2.weight", "6.20.0.0.2.bias", "6.20.0.0.2.running_mean", "6.20.0.0.2.running_var", "6.21.0.0.0.0.weight", "6.21.0.0.0.1.weight", "6.21.0.0.0.1.bias", "6.21.0.0.0.1.running_mean", "6.21.0.0.0.1.running_var", "6.21.0.0.0.3.weight", "6.21.0.0.0.4.weight", "6.21.0.0.0.4.bias", "6.21.0.0.0.4.running_mean", "6.21.0.0.0.4.running_var", "6.21.0.0.1.weight", "6.21.0.0.2.weight", "6.21.0.0.2.bias", "6.21.0.0.2.running_mean", "6.21.0.0.2.running_var", "6.22.0.0.0.0.weight", "6.22.0.0.0.1.weight", "6.22.0.0.0.1.bias", "6.22.0.0.0.1.running_mean", "6.22.0.0.0.1.running_var", "6.22.0.0.0.3.weight", "6.22.0.0.0.4.weight", "6.22.0.0.0.4.bias", "6.22.0.0.0.4.running_mean", "6.22.0.0.0.4.running_var", "6.22.0.0.1.weight", "6.22.0.0.2.weight", "6.22.0.0.2.bias", "6.22.0.0.2.running_mean", "6.22.0.0.2.running_var", "7.0.0.0.0.0.weight", "7.0.0.0.0.1.weight", "7.0.0.0.0.1.bias", "7.0.0.0.0.1.running_mean", "7.0.0.0.0.1.running_var", "7.0.0.0.0.3.weight", "7.0.0.0.0.4.weight", "7.0.0.0.0.4.bias", "7.0.0.0.0.4.running_mean", "7.0.0.0.0.4.running_var", "7.0.0.0.1.weight", "7.0.0.0.2.weight", "7.0.0.0.2.bias", "7.0.0.0.2.running_mean", "7.0.0.0.2.running_var", "7.0.0.1.0.weight", "7.0.0.1.1.weight", "7.0.0.1.1.bias", "7.0.0.1.1.running_mean", "7.0.0.1.1.running_var", "7.1.0.0.0.0.weight", "7.1.0.0.0.1.weight", "7.1.0.0.0.1.bias", "7.1.0.0.0.1.running_mean", "7.1.0.0.0.1.running_var", "7.1.0.0.0.3.weight", "7.1.0.0.0.4.weight", "7.1.0.0.0.4.bias", "7.1.0.0.0.4.running_mean", "7.1.0.0.0.4.running_var", "7.1.0.0.1.weight", "7.1.0.0.2.weight", "7.1.0.0.2.bias", "7.1.0.0.2.running_mean", "7.1.0.0.2.running_var", "7.2.0.0.0.0.weight", "7.2.0.0.0.1.weight", "7.2.0.0.0.1.bias", "7.2.0.0.0.1.running_mean", "7.2.0.0.0.1.running_var", "7.2.0.0.0.3.weight", "7.2.0.0.0.4.weight", "7.2.0.0.0.4.bias", "7.2.0.0.0.4.running_mean", "7.2.0.0.0.4.running_var", "7.2.0.0.1.weight", "7.2.0.0.2.weight", "7.2.0.0.2.bias", "7.2.0.0.2.running_mean", "7.2.0.0.2.running_var", "9.weight", "9.bias". 
	Unexpected key(s) in state_dict: "weight", "bias", "running_mean", "running_var", "num_batches_tracked", "r1.0.conv1.weight", "r1.0.bn1.weight", "r1.0.bn1.bias", "r1.0.bn1.running_mean", "r1.0.bn1.running_var", "r1.0.bn1.num_batches_tracked", "r1.0.conv2.weight", "r1.0.bn2.weight", "r1.0.bn2.bias", "r1.0.bn2.running_mean", "r1.0.bn2.running_var", "r1.0.bn2.num_batches_tracked", "r1.1.conv1.weight", "r1.1.bn1.weight", "r1.1.bn1.bias", "r1.1.bn1.running_mean", "r1.1.bn1.running_var", "r1.1.bn1.num_batches_tracked", "r1.1.conv2.weight", "r1.1.bn2.weight", "r1.1.bn2.bias", "r1.1.bn2.running_mean", "r1.1.bn2.running_var", "r1.1.bn2.num_batches_tracked", "r2.0.conv1.weight", "r2.0.bn1.weight", "r2.0.bn1.bias", "r2.0.bn1.running_mean", "r2.0.bn1.running_var", "r2.0.bn1.num_batches_tracked", "r2.0.conv2.weight", "r2.0.bn2.weight", "r2.0.bn2.bias", "r2.0.bn2.running_mean", "r2.0.bn2.running_var", "r2.0.bn2.num_batches_tracked", "r2.0.downsample.0.weight", "r2.0.downsample.1.weight", "r2.0.downsample.1.bias", "r2.0.downsample.1.running_mean", "r2.0.downsample.1.running_var", "r2.0.downsample.1.num_batches_tracked", "r2.1.conv1.weight", "r2.1.bn1.weight", "r2.1.bn1.bias", "r2.1.bn1.running_mean", "r2.1.bn1.running_var", "r2.1.bn1.num_batches_tracked", "r2.1.conv2.weight", "r2.1.bn2.weight", "r2.1.bn2.bias", "r2.1.bn2.running_mean", "r2.1.bn2.running_var", "r2.1.bn2.num_batches_tracked", "r3.0.conv1.weight", "r3.0.bn1.weight", "r3.0.bn1.bias", "r3.0.bn1.running_mean", "r3.0.bn1.running_var", "r3.0.bn1.num_batches_tracked", "r3.0.conv2.weight", "r3.0.bn2.weight", "r3.0.bn2.bias", "r3.0.bn2.running_mean", "r3.0.bn2.running_var", "r3.0.bn2.num_batches_tracked", "r3.0.downsample.0.weight", "r3.0.downsample.1.weight", "r3.0.downsample.1.bias", "r3.0.downsample.1.running_mean", "r3.0.downsample.1.running_var", "r3.0.downsample.1.num_batches_tracked", "r3.1.conv1.weight", "r3.1.bn1.weight", "r3.1.bn1.bias", "r3.1.bn1.running_mean", "r3.1.bn1.running_var", "r3.1.bn1.num_batches_tracked", "r3.1.conv2.weight", "r3.1.bn2.weight", "r3.1.bn2.bias", "r3.1.bn2.running_mean", "r3.1.bn2.running_var", "r3.1.bn2.num_batches_tracked", "r4.0.conv1.weight", "r4.0.bn1.weight", "r4.0.bn1.bias", "r4.0.bn1.running_mean", "r4.0.bn1.running_var", "r4.0.bn1.num_batches_tracked", "r4.0.conv2.weight", "r4.0.bn2.weight", "r4.0.bn2.bias", "r4.0.bn2.running_mean", "r4.0.bn2.running_var", "r4.0.bn2.num_batches_tracked", "r4.0.downsample.0.weight", "r4.0.downsample.1.weight", "r4.0.downsample.1.bias", "r4.0.downsample.1.running_mean", "r4.0.downsample.1.running_var", "r4.0.downsample.1.num_batches_tracked", "r4.1.conv1.weight", "r4.1.bn1.weight", "r4.1.bn1.bias", "r4.1.bn1.running_mean", "r4.1.bn1.running_var", "r4.1.bn1.num_batches_tracked", "r4.1.conv2.weight", "r4.1.bn2.weight", "r4.1.bn2.bias", "r4.1.bn2.running_mean", "r4.1.bn2.running_var", "r4.1.bn2.num_batches_tracked", "eight", "ias". 
	size mismatch for 1.weight: copying a param of torch.Size([64]) from checkpoint, where the shape is torch.Size([64, 3, 7, 7]) in current model.
Mon May 20 22:02:12 EDT 2019
