GCP AI Platform Notebook 驱动太旧？

Question

我正在尝试运行在具有 32 个 vCPU、208 GB RAM 和 2 个 NVIDIA Tesla T4 的 GCP 人工智能平台笔记本上 Hugging Face Transformers tutorial。

然而，当我尝试运行部分

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.

然而，当我运行 !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驱动上的版本与我使用的最新PyTorch版本兼容。有没有其他人运行遇到这个错误，有没有办法解决它？

Answer 1

您可以：

请下载并安装新的 GPU 驱动程序以更新您的 GPU 驱动程序来自 URL 的版本：http://www.nvidia.com/Download/index.aspx
或者，转到：https://pytorch.org 安装 PyTorch 使用您的 CUDA 驱动程序版本编译的版本。

Answer 2

您可以尝试更新的NVIDIA驱动版本，我们支持最新的CUDA 11驱动版本，然后在其上安装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

图像系列：

普通-cu110-notebooks-debian-9
普通-cu110-notebooks-debian-10

GCP AI Platform Notebook 驱动太旧？

GCP AI Platform Notebook driver too old?

pytorch

nvidia

bert-language-model

huggingface-transformers

gcp-ai-platform-notebook