Skip to content

Use torch.accelerator in infer_device so non-CUDA accelerators are detected #3080

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
li-lizhe wants to merge 1 commit into
base: develop
Choose a base branch
from
+23 −2
Open

Use torch.accelerator in infer_device so non-CUDA accelerators are detected #3080

Show file tree
Hide file tree
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
4 changes: 2 additions & 2 deletions speechbrain/utils/distributed.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -79,8 +79,8 @@ def get_local_rank() -> Optional[int]:
def infer_device() -> str:
"""Make a basic guess about intended running device based on
availability and distributed environment variable 'LOCAL_RANK'"""
if torch.cuda.is_available():
device = "cuda"
if torch.accelerator.is_available():
device = str(torch.accelerator.current_accelerator())
local_rank = get_local_rank()
if local_rank is not None:
device += f":{local_rank}"
Expand Down
21 changes: 21 additions & 0 deletions tests/unittests/test_distributed.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -91,3 +91,24 @@ def test_run_on_main(tmpdir):
world_size,
join=True,
)


# Test infer_device.


def test_infer_device():
device = distributed.infer_device()
if torch.accelerator.is_available():
assert device.startswith(torch.accelerator.current_accelerator())
else:
assert device == "cpu"


def test_infer_device_local_rank(monkeypatch):
monkeypatch.setenv("LOCAL_RANK", "1")
device = distributed.infer_device()
if torch.accelerator.is_available():
assert device == f"{torch.accelerator.current_accelerator()}:1"
else:
assert device == "cpu"