Question

我正在尝试在具有32个vCPU，208 GB RAM和2个NVIDIA Tesla T4的GCP的AI平台笔记本上运行以下Hugging Face Transformers tutorial。

但是，当我尝试运行零件时

model = DistillBERTClass()

model.to(device)

我收到以下断言错误：

AssertionError: The NVIDIA driver on your system is too old (found version 10010).
Please update your GPU driver by downloading and installing a new
version from the URL: http://www.nvidia.com/Download/index.aspx
Alternatively, go to: https://pytorch.org to install
a PyTorch version that has been compiled with your version
of the CUDA driver.

但是，当我跑步时！nvidia-smi

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.01    Driver Version: 418.87.01    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |
| N/A   38C    P0    22W /  70W |     10MiB / 15079MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  Tesla T4            Off  | 00000000:00:05.0 Off |                    0 |
| N/A   39C    P8    10W /  70W |     10MiB / 15079MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |

NVIDIA驱动程序上的版本与我正在使用的最新PyTorch版本兼容。有其他人遇到此错误，并且有解决方法吗？

Answer 1

您可以：

请通过下载并安装新的驱动程序来更新GPU驱动程序网址中的版本：http://www.nvidia.com/Download/index.aspx
或者，转到：https://pytorch.org安装PyTorch 的版本已使用您的CUDA驱动程序的版本进行编译。

Answer 2

您可以尝试更新的NVIDIA驱动程序版本，我们支持最新的CUDA 11驱动程序版本，然后在其之上安装Pytorch：

gcloud beta notebooks instances create cuda11 \
--vm-image-project=deeplearning-platform-release \
--vm-image-family=common-cu110-notebooks-debian-9 \
--machine-type=n1-standard-1 \
--location=us-west1-a \
--format=json

图片家族：

common-cu110-notebooks-debian-9
common-cu110-notebooks-debian-10

GCP AI平台笔记本电脑驱动程序太旧了？

2 个答案: