Tensorflow using Intel GPU instead of NVIDIA GPU

[fzd370]

Issue type

Build/Install

Have you reproduced the bug with TensorFlow Nightly?

No

Source

source

TensorFlow version

2.10.1

Custom code

Yes

OS platform and distribution

Windows 11

Mobile device

No response

Python version

3.9.19

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

11.2.2/8.1.0.77

GPU model and memory

Nvidia Geforce GTX 1650 - 4GB

Current behavior?

I've installed the tensorflow in virtual environment in Anaconda using official documentation and it is running fine. Whenever I'm training my model I see that the tensorflow is using Intel GPU instead of Nvidia GPU. The default GPU for tensorflow is Intel GPU. How do I change this so that tensorflow uses Nvidia GPU. I've installed CUDA and cuDNN as mentioned in the documentation.

As it is mentioned in the offical documentation that if you have more than one GPU in your system, the GPU with the lowest ID will be selected by default. How do I change this? Please help.

I

Standalone code to reproduce the issue

I followed the steps mentioned in the documentation.

Relevant log output

No response

[sushreebarsa]

@fzd370 In TensorFlow v2.10, the default behavior is to choose the GPU with the lowest ID. This typically leads to selecting the integrated Intel GPU over a dedicated Nvidia GPU.Please ensure you're running your Python scripts or Jupyter notebooks within the activated virtual environment where you installed TensorFlow with GPU support. Kindly double-check your CUDA and cuDNN installations.

Thank you!

[github-actions]

This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.

[github-actions]

This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.

[google-ml-butler]

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