Python 如何使GPU在Anaconda env上工作？我安排好了一切

我用了一个Ubuntu18VM和一个NvidiaTeslaT4。我安装了正确的tensorflow版本1.15，支持GPU，但仍然无法在jupyter笔记本中使用GPU。如何处理这个问题。。我相信司机已经成功安装

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.33.01    Driver Version: 440.33.01    CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| 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 P4            On   | 00000000:00:04.0 Off |                    0 |
| N/A   35C    P8     7W /  75W |      0MiB /  7611MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
(base) koruplato@instance-1:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89

据说

print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

Num GPUs Available:  0```

---

据我所知，你有CUDA 10.2。Tensorflow仅适用于CUDA 10.0，如下所述：

您还需要获取cuDNN SDK（>=7.4.1）

希望有帮助