tensorflow gpu 测试通过——但我没有安装 cuDNN

Question

Windows10-pro, single RTX 2080 Ti. I am new to Tensorflow.

I just installed tensorflow-gpu, version 2.1.0, python 3.7.7. Cuda compilation tools, release 10.1, V10.1.105. Nothing self-compiled. And I have not installed cuDNN, nor have I registered. All installation is standard, nothing self-compiled.

The tensorflow.org documentation states that cuDNN is needed to use the GPU. But my tests for GPU-usage seem to pass. For example, tf.config.experimental.list_physical_devices('GPU') returns [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')] .

It may appear that I should just install cuDNN and not lose any more sleep. But I would still want to know if I were using the GPU so I would prefer a test that is capable of failing.

Is there a true test to see if an installation will use the GPU?

Answer 1

In NVIDIA GPU computing toolkit, one can verify the cuDNN installation, On windows system, Go to

C:\Programming Files\NVIDIA GPU computing Toolkit/CUDA\v10.0\include\

open cudnn.h 

To utilize the Tensorflow-GPU successfully, CUDA and cuDNN are required. Some of the Tensorflow library such as tf.keras.layers.GRU ( Keras GRU layers ) employs the capability of cuDNN.

Check these examples provided in Tensorflow site for GPU utilization.