- Implemented a function to check if the current CUDA device is supported by the installed PyTorch version.
- Added warnings for unsupported CUDA devices, informing users that the CPU will be used instead.
- Updated the TimesFMBackend class to utilize the new compatibility checks and handle GPU names appropriately.
- Introduced unit tests to validate the behavior of the CUDA compatibility function with various simulated CUDA environments.

- Updated the docstring in repository.py for clarity.
- Added new dependencies for DGT in pyproject.toml.
- Created a new test file for DGT forecasting with comprehensive tests covering market graph alignment, graph prior normalization, model predictions, and end-to-end run validation.