Training.py not running on GPU
See original GitHub issueHi @f90 ,
I have a GPU in my paperspace machine. I am trying to run Training.py using the following command: python Training.py with cfg.full_44KHz. But the script runs only on CPU, not on GPU.
I have just forked this repo and executing the Training.py script.
How can I make sure that it runs on GPU.
I am a Pytorch guy, and trying to refactor the codebase for Pytorch. Please help.
Thak you
Issue Analytics
- State:
- Created 4 years ago
- Comments:6 (3 by maintainers)
Top Results From Across the Web
Training process doesn't run on GPU #1739 - GitHub
Hi Mr, when i run your traning source code with only person class. I already set GPU_COUNT to 2 but it did not...
Read more >Training don't start with GPU, but running fine with CPU ...
I am using Titan V for training. I think there is a Problem with the command I am using. If I use CPU...
Read more >Tensorflow not running on GPU - Stack Overflow
I think when I uninstalled tensorflow it deleted the init.py file or something. So I ran pip install --ignore-installed --upgrade and now this ......
Read more >Running Python script on GPU. - GeeksforGeeks
First, make sure that Nvidia drivers are upto date also you can install cudatoolkit explicitly from here. then install Anaconda add anaconda to ......
Read more >Can't make Tensorflow run on GPU - Ask Ubuntu
Enter the Python shell (something like python3 in your terminal) >>> import tensorflow as tf >>> tf.config.list_physical_devices("GPU") ...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found

Updating the Nvidia driver to version-396+ solved the issue. Thanks @f90
This seems like an NVIDIA issue, not related to my code.
Whats your NVIDIA Driver, CUDA and CuDNN versions? Looks like cuDNN version might not be the right one. Tensorflow 1.8 requires CUDA 9, and I have installed cuDNN 7.5.0 alongside and it works. I also noticed your driver seems quite old according to the logs, maybe you can update that?