[Bugfix][Hardware][AMD] Use platform device type in compilation fusion helpers#31733
[Bugfix][Hardware][AMD] Use platform device type in compilation fusion helpers#31733c0de128 wants to merge 1 commit intovllm-project:mainfrom
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…n helpers Replace hardcoded device='cuda' with current_platform.device_type in empty_bf16(), empty_fp32(), empty_i32(), and empty_i64() helper functions. This ensures the compilation fusion pass works correctly on ROCm, which uses 'hip' or 'rocm' as the device type rather than 'cuda'. The import for current_platform was already present in the file. Signed-off-by: c0de128 <kevin.mckay@outlook.com>
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/ci-run |
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Code Review
This pull request aims to fix an issue with torch.compile on ROCm platforms by replacing a hardcoded device="cuda" with a platform-specific value. While the intention to generalize the device handling is good, the current implementation appears to be ineffective. The RocmPlatform also defines its device_type as "cuda", making the change a no-op for ROCm and likely not fixing the underlying issue. A critical review comment has been added to highlight this and suggest a re-evaluation of the fix.
| def empty_bf16(*args, **kwargs): | ||
| return torch.empty(*args, **kwargs, dtype=torch.bfloat16, device="cuda") | ||
| return torch.empty( | ||
| *args, **kwargs, dtype=torch.bfloat16, device=current_platform.device_type | ||
| ) |
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This change appears to be ineffective for ROCm platforms. The RocmPlatform in vllm/platforms/rocm.py defines device_type as "cuda".
# vllm/platforms/rocm.py
class RocmPlatform(Platform):
_enum = PlatformEnum.ROCM
device_name: str = "rocm"
device_type: str = "cuda"
...Therefore, replacing device="cuda" with device=current_platform.device_type results in no change for ROCm platforms, as current_platform.device_type will resolve to "cuda". The described bug will likely persist.
To properly fix this, RocmPlatform.device_type might need to be changed to "hip" or "rocm", and that change should be included in this pull request. Alternatively, if device="cuda" is indeed problematic on ROCm for torch.compile, a different approach is needed here.
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/buildkite run |
| def empty_bf16(*args, **kwargs): | ||
| return torch.empty(*args, **kwargs, dtype=torch.bfloat16, device="cuda") | ||
| return torch.empty( | ||
| *args, **kwargs, dtype=torch.bfloat16, device=current_platform.device_type | ||
| ) |
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Closing this PR. You're right — device="cuda" works correctly on ROCm via HIP translation. This was a consistency fix, not addressing a proven bug. Thanks for the review. |
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Summary
Replace hardcoded
device="cuda"withcurrent_platform.device_typein the compilation fusion helper functions.Changes
empty_bf16()- Usecurrent_platform.device_typeinstead of"cuda"empty_fp32()- Usecurrent_platform.device_typeinstead of"cuda"empty_i32()- Usecurrent_platform.device_typeinstead of"cuda"empty_i64()- Usecurrent_platform.device_typeinstead of"cuda"Problem
The current implementation hardcodes
device="cuda"which doesn't work correctly on ROCm where the device type is"hip"or"rocm". This can cause the torch.compile fusion pass to fail on AMD GPUs.Solution
Use
current_platform.device_typewhich was already imported in the file. This returns the correct device string for the current platform (CUDA, ROCm, etc.).Test Plan
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