服务器报错 RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:825, invalid usage, NCCL version 2.7.8 ncclInvalidUsage: This usually reflects invalid usage of NCCL library (suc…
(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...
It probably has nothing to do with the driver version.It doesn't work on another server with driver 550 either.It should be related to the version of nccl, pytorch is normal, PyNcclCommunicator is not The versions of nvidia-nccl-cu12 and nvidia-nccl-cu11 are inconsistent. Now there are ...
WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.11.2+cu113 OpenCV: ...
LIBRARY_PATH=/usr/local/cuda/lib64/stubs SHLVL=1 NV_CUDA_LIB_VERSION=12.1.0-1 NVARCH=x86_64 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 ...
It always gives me this error, while other types of CaptumExplainer works without any problems. There is no examples showing if ShapleyValueSampling requires a special preprocessing of the data or how it shall be used with the library giving the error RuntimeError: shape '[-1, 8, 1, 1]...
math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,...
W0929 00:07:08.332362 13388 cross_device_ops.py:1202] There are non-GPU devices in tf.distribute.Strategy, not using nccl allreduce. INFO:tensorflow:Using MirroredStrategy with devices ('/job:localhost/replica:0/task:0/device:CPU:0',) I0929 00:07:08.335360 13388 mirrored_strategy.py:341]...
context: rapidsai/cuml#4048 (comment) import cudf import cupy import pandas as pd X = pd.read_csv("df.csv") y = X['target'].copy() X = cudf.from_pandas(X).fillna(0.0) y = cudf.from_pandas(y).fillna(0.0) ar = cupy.asarray(y).flatten() ar...
A GPU-Ready Tensor LibraryIf you use NumPy, then you have used Tensors (a.k.a. ndarray).PyTorch provides Tensors that can live either on the CPU or the GPU and accelerates the computation by a huge amount.We provide a wide variety of tensor routines to accelerate and fit your ...