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Holmes-Alan / dSRVAE

Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020
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i am facing this error when i try to run test.py file. would you please give me any suggestions #9

Open haideralimughal opened 3 years ago

haideralimughal commented 3 years ago

Traceback (most recent call last): File "test.py", line 58, in denoiser = torch.nn.DataParallel(denoiser, device_ids=gpus_list) File "/home/ali/anaconda3/envs/torch/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 136, in init _check_balance(self.device_ids) File "/home/ali/anaconda3/envs/torch/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 19, in _check_balance dev_props = [torch.cuda.get_device_properties(i) for i in device_ids] File "/home/ali/anaconda3/envs/torch/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 19, in dev_props = [torch.cuda.get_device_properties(i) for i in device_ids] File "/home/ali/anaconda3/envs/torch/lib/python3.7/site-packages/torch/cuda/init.py", line 317, in get_device_properties raise AssertionError("Invalid device id") AssertionError: Invalid device id

Holmes-Alan commented 3 years ago

You need to modify the model file since we tried the network on two GPU using torch.nn.DataParallel(). If you only use one GPU, you need to change the load function as something like, pretrained_dict = torch.load(model_G, map_location=lambda storage, loc: storage) model_dict = G.state_dict() pretrained_dict = {k: v for k, v in pretrained_dict.items() if k in model_dict} model_dict.update(pretrained_dict) G.load_state_dict(model_dict)

ajaykumar6666 commented 2 years ago

You need to modify the model file since we tried the network on two GPU using torch.nn.DataParallel(). If you only use one GPU, you need to change the load function as something like, pretrained_dict = torch.load(model_G, map_location=lambda storage, loc: storage) model_dict = G.state_dict() pretrained_dict = {k: v for k, v in pretrained_dict.items() if k in model_dict} model_dict.update(pretrained_dict) G.load_state_dict(model_dict)

Even though I changed, the error remained the same!