5 examples of 'pytorch cuda 11.4' in Python

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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
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124def to_cuda(list_modules):
125 for m in list_modules:
126 m.cuda()
50def _tensor_to_cuda(x):
51 if x.is_cuda:
52 return x
53 else:
54 return x.cuda()
30@pytest.mark.skipif(not torch.cuda.is_available(), reason="Require cuda")
31def test_to_device_cuda():
32 obj = {"a": [torch.tensor([0, 1])]}
33 obj2 = to_device(obj, "cuda")
34 assert obj2["a"][0].device == torch.device("cuda:0")
770def cuda(self, device_id=None):
771 """
772 This method operates identically to :func:`torch.nn.Module.cuda`.
773
774 Args:
775 device_id (:obj:`str`, optional):
776 Device ID of GPU to use.
777 Returns:
778 :obj:`~gpytorch.lazy.LazyTensor`:
779 a new LazyTensor identical to ``self``, but on the GPU.
780 """
781 new_args = []
782 new_kwargs = {}
783 for arg in self._args:
784 if hasattr(arg, "cuda"):
785 new_args.append(arg.cuda(device_id))
786 else:
787 new_args.append(arg)
788 for name, val in self._kwargs.items():
789 if hasattr(val, "cuda"):
790 new_kwargs[name] = val.cuda(device_id)
791 else:
792 new_kwargs[name] = val
793 return self.__class__(*new_args, **new_kwargs)

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