Backend impacted
The PyTorch implementation
Operating system
Linux
Hardware
GPU with CUDA
Description
While running the code using the PyTorch backend on Linux with GPU (CUDA), multiple issues are still occurring during execution. The program does not run smoothly and appears to contain unresolved bugs. The errors occur consistently during runtime.
Extra information
Expected behavior:
The code should run successfully without runtime errors and complete the process normally.
Actual behavior:
The program throws errors and does not complete execution as expected.
Additional notes:
Please review the code and help identify the remaining bugs.
Environment
Fill in the following information on your system.
- Operating system version:
If the backend impacted is PyTorch:
- Python version:
- PyTorch version:
- CUDA version (run
python -c 'import torch; print(torch.version.cuda)'):
- GPU model and memory:
If the backend is MLX:
Backend impacted
The PyTorch implementation
Operating system
Linux
Hardware
GPU with CUDA
Description
While running the code using the PyTorch backend on Linux with GPU (CUDA), multiple issues are still occurring during execution. The program does not run smoothly and appears to contain unresolved bugs. The errors occur consistently during runtime.
Extra information
Expected behavior:
The code should run successfully without runtime errors and complete the process normally.
Actual behavior:
The program throws errors and does not complete execution as expected.
Additional notes:
Please review the code and help identify the remaining bugs.
Environment
Fill in the following information on your system.
If the backend impacted is PyTorch:
python -c 'import torch; print(torch.version.cuda)'):If the backend is MLX: