accelerate: 0.24.0 Have you solved this problem? System Info I want to finetune Falcon 7b models using SFTTrainer from Transformers library. I have set the device_map = 'auto' while loading the model and cuda_visible_devices = '0,1' But getting this error. ...
针对你遇到的错误“module must have its parameters and buffers on device cuda:1 (device_ids[0]) but found one of them on device: cuda:0”,我们可以从以下几个方面进行解决: 1. 识别错误关键信息 涉及的设备:cuda:1 和 cuda:0 问题类型:模型的参数或缓冲区不在预期的设备(cuda:1)上,而是在cuda:...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!rmihaylov/falcontune#30 Open AegeanYanmentioned this issueJul 25, 2023 Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment ...
现代GPU 用高占用率的 L1 和 L2 缓存来掩盖主存访问的延迟,记住这个黄金准则:相邻的内存访问相邻的内存地址(adjacent threads address adjacent memory locations) Warps and Waves The GPU architecture is reflected in the way a CUDA kernel is designed and launched by host software. 为特定的问题设计优质的核...
I am using CUDA Toolkit 9.1.85 in an HPC environment. I am encountering this issue: $ nvcc -o foo -lcuda foo.c $ ./foo ./foo: error while loading shared libraries: libcuda.so.1: cannot open shared object file: No such f…
The macro __CUDA_ARCH_LIST__ is defined when compiling C, C++ and CUDA source files. For example, the following nvcc compilation command line will define __CUDA_ARCH_LIST__ as 500,530,800 : nvcc x.cu \ --generate-code arch=compute_80,code=sm_80 \ --generate-code arch=compute_50...
centos7 安装 CUDA 驱动,1.安装前的预备知识/Pre-installationActionsCUDA是NVIDIA公司开发的一套并行计算平台和编程模型,它通过GPU(显卡)的强大计算能力显著地提高程序的运行速度。它实际上只是在C语言的基础上提供了一组扩展,所以其cuda代码的风格与C语言十分相似。
NPU and CUDA Function Alignment No. CUDA API Name NPU API Name Supported/Unsupported 1 torch.cuda.current_blas_handle torch.npu.current_blas_handle Unsupported. 2 torch.cuda.current_device torch.npu.current_device Supported 3 torch.cuda.current_stream torch.npu.current_stream Unsupported...
A technology introduced in Kepler-class GPUs and CUDA 5.0, enabling a direct path for communication between the GPU and a third-party peer device on the PCI Express bus when the devices share the same upstream root complex using standard features of PCI Express. This document introduces the tec...
_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path liuhaotian/llava-v1.5-13b", raise the problem of "RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!