Differences

This shows you the differences between two versions of the page.

--- compute:pythongpu [2024/12/11 15:16] – created bjorns
+++ compute:pythongpu [2024/12/11 15:48] (current) – bjorns
@@ Line 4: / Line 4: @@
 Both Tensorflow and Torch have been used on this cluster succesfully.\\
 \\
-An example setup using Python venv, run these commands\\
+An example setup using Python venv, run these commands :\\
+\\
 ''python3 -m venv myTorch''\\
 ''source myTorch/bin/activate''\\
 ''pip install torch''\\
-The new Python virtual environment has been created and activated, torch package installed\\
+\\
-And the correct CUDA library is also installed\\
+The new Python virtual environment has been created and activated, **torch** package installed\\
+And the correct **CUDA library** is also installed\\
 Please run a simple test with python code to make sure you can communicate with the GPU\\
+One example command to test torch\\
+''if torch.cuda.is_available() print("GPU")''
+\\
+But you must run this code test with **sbatch**, send your job to the cluster\\
+Create a python file dummy.py with the test-GPU command\\
+\\
+Update the sbatch script file, mine is called **oneJob.sh**\\
+Remove lines below last #SBatch\\
+Add 2 lines\\
+''source myTorch/bin/activate''\\
+''python3 dummy.py''\\
+[SAVE]\\
+Run the command ''sbatch oneJob.sh''\\
+The response should be **Submitted batch job XXX**\\
+Then check your log file (default name is myJob.log) for the result\\
+\\
+Installing Tensorflow is same process, we recommend using a different virtual environment if you want to try both of them\\
+Make sure to instruct pip in this way, to get all necessary packages ''pip install "tensorflow[and-cuda]"''\\
 \\
 == Those version have also been used before and known to work ==