runtime error. If False, allows nondeterministic operations.
Keyword Arguments:
      warn_only ("bool", optional) -- If True, operations that do
      not have a deterministic implementation will throw a warning
      instead of an error. Default: "False"
Example:
  >>> torch.use_deterministic_algorithms(True)

  # Forward mode nondeterministic error
  >>> torch.randn(10, device='cuda').kthvalue(0)
  ...
  RuntimeError: kthvalue CUDA does not have a deterministic implementation...

  # Backward mode nondeterministic error
  >>> torch.nn.AvgPool3d(1)(torch.randn(3, 4, 5, 6, requires_grad=True).cuda()).sum().backward()
  ...
  RuntimeError: avg_pool3d_backward_cuda does not have a deterministic implementation...
