5 examples of 'torch is cuda available' in Python

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124def to_cuda(list_modules):
125 for m in list_modules:
126 m.cuda()
36def check_cuda_support():
37 """ Check if tensorflow was build with CUDA """
38 return tf.test.is_built_with_cuda()
221def cuda(xs, gpu_id):
222 if torch.cuda.is_available():
223 if not isinstance(xs, (list, tuple)):
224 return xs.cuda(int(gpu_id[0]))
225 else:
226 return [x.cuda(int(gpu_id[0])) for x in xs]
227 return xs
96def check_device(cuda: Union[bool, str, torch.device]) -> torch.device:
97 if isinstance(cuda, bool):
98 if cuda:
99 if torch.cuda.is_available():
100 return torch.device('cuda')
101 else:
102 raise RuntimeError('could not use CUDA on this machine')
103 else:
104 return torch.device('cpu')
106 if isinstance(cuda, str):
107 if 'cuda' in cuda:
108 if torch.cuda.is_available():
109 return torch.device(cuda)
110 else:
111 raise RuntimeError('could not use CUDA on this machine')
112 elif 'cpu' in cuda:
113 return torch.device('cpu')
114 else:
115 raise RuntimeError(
116 'wrong device identifier'
117 'see also: https://pytorch.org/docs/stable/tensor_attributes.html#torch.torch.device'
118 )
120 if isinstance(cuda, torch.device):
121 return cuda
29def linux_with_gpu():
30 """Returns if machine is running an Linux OS and has a GPU"""
31 has_gpu = is_available()
32 return is_linux() and has_gpu

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