I am trying to test this using the pretrained model and getting below error. Testing this in a system that has 1 GPU
File "main.py", line 44, in <module>
main(config, args)
File "main.py", line 16, in main
Mission.demo()
File "/root/TextZoom/src/interfaces/super_resolution.py", line 276, in demo
model_dict = self.generator_init()
File "/root/TextZoom/src/interfaces/base.py", line 153, in generator_init
model = torch.nn.DataParallel(model, device_ids=range(cfg.ngpu))
File "/opt/conda/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 136, in __init__
_check_balance(self.device_ids)
File "/opt/conda/lib/python3.6/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 "/opt/conda/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 19, in <listcomp>
dev_props = [torch.cuda.get_device_properties(i) for i in device_ids]
File "/opt/conda/lib/python3.6/site-packages/torch/cuda/__init__.py", line 317, in get_device_properties
raise AssertionError("Invalid device id")
AssertionError: Invalid device id
I am trying to test this using the pretrained model and getting below error. Testing this in a system that has 1 GPU
I used this command
And used the pretrained model you mentioned here