(VllmWorkerProcess pid=3615391) ERROR 08-06 18:38:55 multiproc_worker_utils.py:226] Exception in worker VllmWorkerProcess while processing method initialize_cache: NCCL error: invalid usage (run with NCCL_DEBUG=WARN for details), Traceback (most recent call last): (VllmWorkerProcess pid=36...
(VllmWorkerProcess pid=693) ERROR 08-15 07:47:44 multiproc_worker_utils.py:226] Exception in worker VllmWorkerProcess while processing method initialize_cache: NCCL error: invalid usage (run with NCCL_DEBUG=WARN for details), Traceback (most recent call last): (VllmWorkerProcess pid=693)...
os.environ.pop("NCCL_ASYNC_ERROR_HANDLING", None) self.device = torch.device(f"cuda:{self.local_rank}") torch.cuda.set_device(self.device) _check_if_gpu_supports_dtype(self.model_config.dtype) torch.cuda.empty_cache() self.init_gpu_memory = torch.cuda.mem_get_info()[0] else: ...
# 这行代码删除了名为NCCL_ASYNC_ERROR_HANDLING的环境变量。 # 从注释可以看出,这个环境变量会在构建计算图时导致异常。 os.environ.pop("NCCL_ASYNC_ERROR_HANDLING", None) # Env vars will be set by Ray. # 这部分代码首先检查self.rank是否已经设定。如果没有设定,它会尝试从环境变量中获取RANK的值。
[Bug]: vLLM 在 AWS Inferentia (inf2) 上失败我认为这个错误主要是由于目前vLLM的神经元后端缺乏...
@RomanKoshkin I've tried a few ways. What I have working now is pip installing the 0.4.2 ...
[Bug]: vLLM 在 AWS Inferentia (inf2) 上失败我认为这个错误主要是由于目前vLLM的神经元后端缺乏...
the version of nccl in environment is "nvidia-nccl-cu11 2.20.5" 3、 when deploy LLM model by vllm, there have Errors as follows: 2024-06-18 22:03:51 | INFO | stdout | (RayWorkerWrapper pid=1043334) ERROR 06-18 22:03:50 worker_base.py:148] File "/opt/anaconda3/envs/vllm4/...
Your current environment vllm-0.6.4.post1 How would you like to use vllm I am using the latest vllm version, i need to apply rope scaling to llama3.1-8b and gemma2-9b to extend the the max context length from 8k up to 128k. I using this ...
[doc][distributed] add both gloo and nccl tests by @youkaichao in #5834 [CI/Build] Add unit testing for FlexibleArgumentParser by @mgoin in #5798 [Misc] Update w4a16 compressed-tensors support to include w8a16 by @dsikka in #5794 [Hardware][TPU] Refactor TPU backend by @WoosukKwon ...