Skip to content

fix: detect TPU with torch.accelerator.current_accelerator() #888

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

Merged
danieldk merged 1 commit into from
Oct 8, 2026
Merged

fix: detect TPU with torch.accelerator.current_accelerator() #888

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
7 changes: 2 additions & 5 deletions kernel-builder/src/pyproject/templates/torch/noarch/_ops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,11 +4,8 @@ def get_backend() -> str:
"""Detect the backend by inspecting torch."""
import torch

if hasattr(torch.backends, "tpu"):
# torch_tpu sets torch.backends.tpu when it is imported (via
# torch's device-backend autoload), regardless of whether TPU
# hardware is present — analogous to torch.version.cuda being
# set on CUDA builds without a GPU.
acc = torch.accelerator.current_accelerator() if hasattr(torch, "accelerator") else None
if acc is not None and acc.type == "tpu":
return "tpu"
elif hasattr(torch, "neuron"):
# Needs to be sorted before specific Torch builds, since Neuron
Expand Down
8 changes: 2 additions & 6 deletions kernels/src/kernels/backends.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -217,12 +217,8 @@ def _backend() -> Backend:
if has_torch:
import torch

if hasattr(torch.backends, "tpu"):
# torch_tpu sets torch.backends.tpu when it is imported (via
# torch's device-backend autoload), regardless of whether TPU
# hardware is present — analogous to torch.version.cuda being
# set on CUDA builds without a GPU. The hardware-gated
# torch.tpu namespace only appears on hosts with TPU devices.
acc = torch.accelerator.current_accelerator() if hasattr(torch, "accelerator") else None
if acc is not None and acc.type == "tpu":
return TPU()
elif hasattr(torch, "neuron"):
# Needs to be sorted before specific Torch builds, since Neuron
Expand Down
Loading