Explore technical articles related to PyTorch. Find in-depth analysis, tutorials, and insights.
Deep dive into NVIDIA GPU Xid 31 MMU faults: how GPU virtual memory works, what causes page table walk failures, and how we eliminated 28 daily crashes in a production video pipeline processing 7,000+ videos.
How torch.compile generates optimized GPU kernels from PyTorch eager code: kernel fusion, memory tiling, shape specialization, and the TorchInductor backend — with interactive visualizations of every transformation.
Learn why PyTorch throws the "view size is not compatible" error, understand tensor memory layout, and discover optimal solutions with performance benchmarks.
Master dynamic model loading in PyTorch using the Registry Pattern. Learn decorators and configuration-driven architecture from OpenMMLab.