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- import os
- from loguru import logger
- from packaging import version
- def enable_custom_logits_processors():
- import torch
- from vllm import __version__ as vllm_version
- if not torch.cuda.is_available():
- logger.info("CUDA not available, disabling custom_logits_processors")
- return False
- major, minor = torch.cuda.get_device_capability()
- # 正确计算Compute Capability
- compute_capability = f"{major}.{minor}"
- compute_capability = float(compute_capability)
- # 安全地处理环境变量
- vllm_use_v1_str = os.getenv('VLLM_USE_V1', "1")
- if vllm_use_v1_str.isdigit():
- vllm_use_v1 = int(vllm_use_v1_str)
- else:
- vllm_use_v1 = 1
- if vllm_use_v1 == 0:
- logger.info("VLLM_USE_V1 is set to 0, disabling custom_logits_processors")
- return False
- elif version.parse(vllm_version) < version.parse("0.10.1"):
- logger.info(f"vllm version: {vllm_version} < 0.10.1, disable custom_logits_processors")
- return False
- elif compute_capability < 8.0:
- if version.parse(vllm_version) >= version.parse("0.10.2"):
- logger.info(f"compute_capability: {compute_capability} < 8.0, but vllm version: {vllm_version} >= 0.10.2, enable custom_logits_processors")
- return True
- else:
- logger.info(f"compute_capability: {compute_capability} < 8.0 and vllm version: {vllm_version} < 0.10.2, disable custom_logits_processors")
- return False
- else:
- logger.info(f"compute_capability: {compute_capability} >= 8.0 and vllm version: {vllm_version} >= 0.10.1, enable custom_logits_processors")
- return True
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