Calling cuda() with async results in SyntaxError
I'm trying to run this PyTorch code:

for i, (input, target) in enumerate(train_loader):

    input = input.float().cuda(async=True)
    target = target.cuda(async=True)
    input_var = torch.autograd.Variable(input)
    target_var = torch.autograd.Variable(target)

    output = model(input_var)


But when I try I am getting this error message:

input = input.float().cuda(async=True)
                               ^
SyntaxError: invalid syntax
Process finished with exit code 1


What am I doing wrong? I already installed cuda.

Your code does not work because:

async is a reserved keyword in python which cannot be used in that way, that is why you get the SyntaxError

cuda() no longer has an argument async. The constructor looks like this:



cuda(device=None, non_blocking=False) → Tensor


Previously there was an argument async but this replaced by non_blocking as async became a reserved keyword in Python 3.7.
 https://github.com/pluskid/fitting-random-labels/pull/5

Use instead non_blocking:
The argument non_blocking has the same effect as async previously had:


non_blocking (bool): If True and the source is in pinned memory, the
copy will be asynchronous with respect to the host. Otherwise, the
argument has no effect. Default: False.
 https://pytorch.org/docs/stable/tensors.html#torch.Tensor.cuda




As an add-on: If you are interested in what async is actually used for you can take a look here:
https://www.python.org/dev/peps/pep-0492/#new-syntax
