tensorflow=2.16 cant use GPU

[yinjg1997]

Issue type

Bug

Have you reproduced the bug with TensorFlow Nightly?

No

Source

source

TensorFlow version

tf 2.16

Custom code

Yes

OS platform and distribution

win10

Mobile device

win10

Python version

3.11

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

12.3

GPU model and memory

No response

Current behavior?

Kill me!!!!
How exactly can I use the gpu power of tensorflow?
My python version is 3.11.
CUDA Version is 12.3.
nvcc --version is 12.3.
cudnn version is 8.9.6.50_cuda12

On this environment Pytorch's gpu is available, but tensorflow==2.16 can't utilize the gpu.

Why tensorflow just can't utilize GPU.
This problem has been tormenting me for 2 hours now, what should I do?

Standalone code to reproduce the issue

import tensorflow as tf

print("GPU Available: ", tf.config.list_physical_devices('GPU'))

print("TensorFlow Version: ", tf.__version__)

Relevant log output

No response

[tilakrayal]

@yinjg1997,
GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin.
https://www.tensorflow.org/install/source_windows#install_gpu_support_optional
https://www.tensorflow.org/install/pip#windows-native

Thank you!

[yinjg1997]

Tensorflow is great project.
Not supporting running GPUs on native Windows is a disgustingly awful decision this adds context to using Tensorflow.
Thank you anyway.

[google-ml-butler]

Are you satisfied with the resolution of your issue?
Yes
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