4dfad17ed1
Signed-off-by: Liao, Wei <wei.liao@intel.com> Signed-off-by: wliao2 <wei.liao@intel.com> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import sys
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import regex as re
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# --------------------------------------------------------------------------- #
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# Regex: match `torch.cuda.xxx` but allow `torch.accelerator.xxx`
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# --------------------------------------------------------------------------- #
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_TORCH_CUDA_PATTERNS = [
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r"\btorch\.cuda\.(empty_cache|synchronize|device_count|current_device|memory_reserved|memory_allocated|max_memory_allocated|max_memory_reserved|reset_peak_memory_stats|memory_stats|set_device|device\()\b",
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r"\bwith\storch\.cuda\.device\b",
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# Calls torch.cuda.{_is_compiled/_device_count_amdsmi/_device_count_nvml} internally
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r"\bcuda_device_count_stateless\(\)\b",
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]
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ALLOWED_FILES = {"vllm/platforms/", "vllm/device_allocator/"}
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def scan_file(path: str) -> int:
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with open(path, encoding="utf-8") as f:
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content = f.read()
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for pattern in _TORCH_CUDA_PATTERNS:
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for match in re.finditer(pattern, content, re.MULTILINE):
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# Calculate line number from match position
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line_num = content[: match.start() + 1].count("\n") + 1
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print(
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f"{path}:{line_num}: "
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"\033[91merror:\033[0m " # red color
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"Found torch.cuda API call. Please refer RFC "
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"https://github.com/vllm-project/vllm/issues/30679, use "
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"torch.accelerator API instead."
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)
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return 1
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return 0
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def main():
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returncode = 0
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for filename in sys.argv[1:]:
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if any(filename.startswith(prefix) for prefix in ALLOWED_FILES):
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continue
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returncode |= scan_file(filename)
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return returncode
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if __name__ == "__main__":
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sys.exit(main())
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