struct ggml_cuda_device { uint32_t index; uint64_t heapSize; const char * name; }; GGML_API GGML_CALL struct ggml_cuda_device * ggml_cuda_available_devices(size_t * count); GGML_API GGML_CALL void ggml_cuda_device_destroy(ggml_cuda_device * device); // backend API GGML_...
针对你提出的“sim cuda device 0 can't be set, the total number of available devices is -1”问题,以下是一些可能的解决步骤和考虑点: 检查CUDA安装: 确保CUDA已经正确安装在你的系统上。可以通过运行nvcc --version或nvidia-smi命令来检查CUDA是否安装以及其版本信息。 验证CUDA设备检测: 使用nvidia-smi...
If you try to restrict torch to not see any CUDA devices it will still find it and break on the first call with no CUDA-capable device is detected. zagoruys@rio:~$ CUDA_VISIBLE_DEVICES= ipython In [1]: import torch.cuda In [2]: torch.cuda.is_available() Out[2]: True In [3]...
rawdownloadcloneembedprintreport Available Events: Name Description Device 0 (Quadro 5000): Domain domain_a: sm_cta_launched: Number of thread blocks launched on a multiprocessor. l1_local_load_hit: Number of cache lines that hit in L1 cache for local memory load accesses. In case of perfect...
It will suspend and reuse. I used it and success got thetrueresponse fromtorch.cuda.is_available(). References https://discuss.pytorch.org/t/userwarning-cuda-initialization-cuda-unknown-error-this-may-be-due-to-an-incorrectly-set-up-environment-e-g-changing-env-variable-cuda-visible-devices-af...
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") # 两句一起使用,此处cuda:0代表可见的第1张卡即 gpu0 为主卡 示例二: import os os.environ['CUDA_VISIBLE_DEVICES']='1,2' # gpu1、gpu2可见 import torch
Tensors and Dynamic neural networks in Python with strong GPU acceleration - torch.accelerator.is_available() raise RuntimeError if no available CUDA/XPU devices · pytorch/pytorch@396630e
Nvidia driver version: No CUDA cuDNN version: No CUDA HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 42 bits physical, 48 bits virtual ...
nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2019 NVIDIA Corporation Built on Wed_Oct_23_19:32:27_Pacific_Daylight_Time_2019 Cuda compilation tools, release 10.2, V10.2.89 How I fix this error? cc@ngimel glaringleeaddedmodule: cudaRelated to torch.cuda, and CUDA support in...
Type error when running: python run_atari.py --gamma_ext 0.999 and have applied below changes in mpi_util.py: available_gpus = guess_available_gpus()-> available_gpus = 1 and os.environ['CUDA_VISIBLE_DEVICES'] = str(1) -> os.environ['CUD...