There are 10 installed gpu.
However there is one device that process recognizes.
I can’t find cause. Tensorflow version is 2.5.0.
Error Message Not Occured.
Thank you
Welcome to the Tensorflow Forum!
Can you share the output of the following code?
import tensorflow as tfprint("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
Num GPUs Available: 1
available gpu is only one. not recognize 9 gpu
According to tested build configurations
CUDA:11.2 and cuDNN: 8.1 are compatible with Tensorflow 2.5.
Can you please try as suggested above and let us know?
#ifndef CUDNN_VERSION_H_
#define CUDNN_VERSION_H_
#define CUDNN_MAJOR 8
#define CUDNN_MINOR 1
#define CUDNN_PATCHLEVEL 0
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Nov_30_19:08:53_PST_2020
Cuda compilation tools, release 11.2, V11.2.67
Build cuda_11.2.r11.2/compiler.29373293_0
I’m sorry for replying late. CUDA and cuDNN version are right.
hmm… I don’t know what the problem is.
Sometimes the ‘Graphics card not detected’ error will occur upon the installation of new drivers if something goes wrong. This could be a faulty driver or the new drivers’ incompatibility with another component inside the PC; the options are too numerous to list.
Can you please share operating system details?
Another Process use “CUDA_VISIBLE_DEVICES”.
That’s why only one device was recognized.
Thank you. help us.