cuda运行时错误(48):没有内核映像可用于在设备上执行

Question

我是pytorch的新手.我从这个存储库中获取了代码https://github.com/ruotianluo/ImageCaptioning.pytorch,并希望为图像制作标题.安装"CUDA",当我运行脚本来创建注释时,会产生以下结果:

$ CUDA_LAUNCH_BLOCKING = 1条蟒蛇eval.py --model model.pth - -infos_path infos.pkl --image_folder等等--num_images 1 /home/azat/anaconda2/lib/python2.7/site-packages/h5py/ 初始化的.py :36:FutureWarning:不推荐将issubdtype的第二个参数从floatto 转换为 np.floating.在将来,它将被视为np.float64 == np.dtype (float) .type.从进口._conv作为register_converters _register_converters /home/azat/anaconda2/lib/python2.7/site-packages/torch/cuda/ INIT的.py:97:UserWarning:实测值GPU0的GeForce 820M是CUDA能力2.1.PyTorch不再支持这款GPU,因为它太旧了.warnings.warn(old_gpu_warn%(d,name,major,capability 1))DataLoaderRaw从文件夹加载图片:blah 0列出目录中的所有图像blah DataLoaderRaw找到8张图片THCudaCheck FAIL文件=/pytorch/torch/lib/THC/generic/THCTensorMathPairwise.cu line = 40 error = 48:没有内核映像可用于设备Traceback(最近一次最后一次调用):文件"eval.py",第122行,在vars(opt)中文件"/ home/azat/Programing/Python/techno_atom_neuro/Others Implementation/ImageCaptioning.pytorch-master/eval_utils.py",第82行,在eval_split中data = loader.get_batch(split)文件"/ home/azat/Programing/Python/techno_atom_neuro/Others实现/ ImageCaptioning.pytorch-master/dataloaderraw.py",第112行,在get_batch img = Variable(preprocess(img),volatile = True)文件"/home/azat/anaconda2/lib/python2.7/site-packages/torchvision /transforms/transforms.py",第42行,在调用 img = t(img)文件"/home/azat/anaconda2/lib/python2.7/ site-packages/torchvision/transforms/transforms.py",第118行,在调用 返回F.normalize(tensor,self.mean,self.std)文件"/home/azat/anaconda2/lib/python2.7/site- packages/torchvision/transforms/functional.py",第161行,标准化t.sub_(m).div_(s)RuntimeError:cuda运行时错误(48):没有内核映像可以在/ pytorch /上的设备上执行火炬/ lib目录/ THC /通用/ THCTensorMathPairwise.cu:40

所以,我想知道这个错误是什么,硬件或软件.我该如何解决这个问题呢.谢谢.

PyTorch
OS: Ubuntu 16.04
PyTorch version: 0.3.1 pip
Python version: Python 2.7.14 :: Anaconda custom (64-bit)
CUDA/cuDNN version: 9.1
GPU models and configuration:

$ nvidia-smi
Wed Apr 11 21:34:08 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.48                 Driver Version: 390.48                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce 820M        Off  | 00000000:08:00.0 N/A |                  N/A |
| N/A   54C    P0    N/A /  N/A |    114MiB /  1985MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0                    Not Supported                                       |
+-----------------------------------------------------------------------------+

Answer 1

答案隐藏在你得到的巨大错误信息中:

UserWarning:发现具有cuda功能2.1的GPU0 GeForce 820M.PyTorch不再支持这款GPU,因为它太旧了.