Skip to content

BUG: torch.arange: workaround for missing dtype implementations #405

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
lucascolley wants to merge 1 commit into
base: main
Choose a base branch
from
Open

BUG: torch.arange: workaround for missing dtype implementations #405

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 8 additions & 2 deletions array_api_compat/torch/_aliases.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -616,8 +616,14 @@ def arange(start: float,
dtype = torch.int64
else:
dtype = torch.float32
return torch.empty(0, dtype=dtype, device=device, **kwargs)
return torch.arange(start, stop, step, dtype=dtype, device=device, **kwargs)
try:
return torch.empty(0, dtype=dtype, device=device, **kwargs)
except NotImplementedError:
return torch.empty(0, device=device, **kwargs).to(dtype)
try:
return torch.arange(start, stop, step, dtype=dtype, device=device, **kwargs)
except NotImplementedError:
return torch.arange(start, stop, step, device=device, **kwargs).to(dtype)

# torch.eye does not accept None as a default for the second argument and
# doesn't support off-diagonals (https://github.com/pytorch/pytorch/issues/70910)
Expand Down
Loading