CUDA problem

[321LFG]

When running basicsr/test.py for EvTexture on a macOS system without GPU support, the script fails due to CUDA-related operations despite setting use_gpu: False.

Error Message:

AssertionError: Torch not compiled with CUDA enabled

Details:

• The script is trying to execute CUDA functions (torch.zeros in dist_validation method).
• The model and dataset are set up correctly.
• The test process fails when calling dist_validation.

Steps to Reproduce:

Configure basicsr/test.py to use CPU (use_gpu: False).
Execute the script on macOS.

Expected Behavior: The script should run without attempting to initialize CUDA.

Actual Behavior: The script fails with a CUDA-related error.

Potential Solution: Modify the dist_validation method to ensure all operations are explicitly set to run on the CPU.

Code Snippet Causing Issue:

self.metric_results[folder] = torch.zeros(size, dtype=torch.float32, device=torch.device('cpu'))

Request for Assistance

Please provide guidance on ensuring the dist_validation method and related functions do not attempt to use CUDA when use_gpu: False.

[DachunKai]

@321LFG Sorry for the delayed reply. Our model currently requires CUDA for testing, and we haven't yet implemented support for CPU-only testing. However, we plan to work on adding no-CUDA testing capabilities soon. Thank you for your interest in our work!

[xiaoxial]

@does the model support non-CUDA test

@321LFG Sorry for the delayed reply. Our model currently requires CUDA for testing, and we haven't yet implemented support for CPU-only testing. However, we plan to work on adding no-CUDA testing capabilities soon. Thank you for your interest in our work!

Does the model support no-CUDA testing now? If not yet, when will it be supported?