Comments (2)
@scimg Hello! If your machine has no GPUs or your PyTorch only supports CPU mode (i.e., torch.cuda.is_available() == False), you can try the following code modification to test in CPU mode temporarily .
Specifically, modify the codes between Line 331 and Line 334 in ./solvers/SRSolver.py
checkpoint = torch.load(model_path)
if 'state_dict' in checkpoint.keys(): checkpoint = checkpoint['state_dict']
load_func = self.model.load_state_dict if isinstance(self.model, nn.DataParallel) \
else self.model.module.load_state_dict
to
if self.use_gpu:
checkpoint = torch.load(model_path)
if 'state_dict' in checkpoint.keys(): checkpoint = checkpoint['state_dict']
load_func = self.model.load_state_dict if isinstance(self.model, nn.DataParallel) \
else self.model.module.load_state_dict
else:
checkpoint = torch.load(model_path, map_location=lambda storage, loc: storage)
if 'state_dict' in checkpoint.keys(): checkpoint = checkpoint['state_dict']
checkpoint_cpu = {}
for key in checkpoint.keys():
checkpoint_cpu[key.replace('module.', '')] = checkpoint[key]
checkpoint = checkpoint_cpu
load_func = self.model.load_state_dict
Then, try to test the pre-trained model again:
cd WSR
python test.py -opt options/test/test_WSR_Set5.json
I will update the repository to support CPU mode as soon as possible.
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@supercaoO Thanks for replying, it works fine now.
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