elif backend_str == Backend.NCCL: if not is_nccl_available(): raise RuntimeError("Distributed package doesn't have NCCL built in") if pg_options is not None: assert isinstance( pg_options, ProcessGroupNCCL.Options ), "Expected pg_options argument to be of type ProcessGroupNCCL.Options" ...
True torch.distributed.is_nccl_available() False torch.cuda.nccl.is_available(torch.randn(1).cuda()) /usr/local/lib/python3.8/dist-packages/torch/cuda/nccl.py:15: UserWarning: PyTorch is not compiled with NCCL support warnings.warn('PyTorch is not compiled with NCCL support') False I want...
# 选择设备,有cuda用cuda,没有就用cpu device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') num_classes = 21 #线性插值 def bilinear_kernel(in_channels, out_channels, kernel_size): factor = (kernel_size + 1) // 2 if kernel_size % 2 == 1: center = factor - 1...
cuda.is_available()) 如果输出为False,则说明PyTorch没有检测到GPU。在这种情况下,您需要检查PyTorch的安装是否正确,或者尝试重新安装PyTorch。如果您确定PyTorch已经正确检测到了GPU,但仍然遇到“RuntimeError: ProcessGroupNCCL is only supported with GPUs, no GPUs found”错误,那么问题可能在于您的代码中使用了不...
Your current environment Collecting environment information... PyTorch version: 2.2.1+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 18.04.5 LTS (x86_64) GCC version: (Ubuntu 7.5.0...
在代码中检查torch.cuda.is_available()的返回值。如果返回False,则表示PyTorch未检测到GPU。 根据GPU的可用性来设置设备。例如: python import torch device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model = MyModel().to(device) 如果你的分布式训练代码指定了NCCL作为后端,确保在...
(500hp total), get ready to feel the excitement as this boat reaches up to 45 knots per hour and will cruise at an average speed of 25. This vessel also features a marine toilet aboard inside a private head. This boat will operate a limited water taxi schedule and is available for ...
NCCIS NCCISP NCCIT NCCIU NCCIW NCCJ NCCJS NCCK NCCKG NCCL NCCL NCCL-DWCMP NCCLA NCCLC NCCLF NCCLG NCCLI NCCLJ NCCLR NCCLS NCCLT NCCLVP NCCM NCCMA NCCMDS NCCME NCCMERP NCCMH NCCMHC NCCMP NCCMPI NCCMT NCCMU NCCN NCCN NCCNA ...
Note that for servers with multiple NICs available, you need to define the following additional variable. $ export NCCL_UCX_TLS=dc,cuda_copy,cuda_ipc $ <run command> Note By default, NCCL is built as a static library to enable portability. In such a case, you may experience plugin-relate...
[1] NCCL INFO DMA-BUF is available on GPU device 1 gpu05:24153:24153 [2] NCCL INFO NET/IB : Using [0]mlx5_0:1/RoCE [RO]; OOB bond0:172.30.52.37<0> gpu05:24153:24153 [2] NCCL INFO Using non-device net plugin version 0 gpu05:24153:24153 [2] NCCL INFO Using network IB ...