Training Issue - ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU
A user encountered a `ValueError` when attempting to train a Stable Diffusion model using an RTX 4090 GPU. The error message, "torch.cuda.is_available() should be True but is False," indicates that the system cannot detect the CUDA-enabled GPU, even though the user has confirmed CUDA toolkit and PyTorch installations, and Python reports CUDA availability. This issue prevents the use of xformers for memory-efficient attention, which is crucial for efficient training. AI
IMPACT Highlights potential configuration challenges when setting up AI model training environments, particularly with GPU utilization.