Add CUDA availability check to distributed initializer #153
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…ironments - Added torch.cuda.is_available() check before calling torch.cuda.set_device(rank) - Falls back to CPU device when CUDA is not available - Also added CUDA check before torch.cuda.synchronize() call - Fixes runtime errors when running on systems without CUDA support
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This pull request adds a check for torch.cuda.is_available() before torch.cuda.set_device(rank) to prevent runtime errors on non-CUDA environments.
Changes Made
torch.cuda.is_available()check before callingtorch.cuda.set_device(rank)torch.cuda.synchronize()callContext
This change prevents crashes when the distributed initializer is called on systems that don't have CUDA available, making the code more robust across different deployment environments.