Basic PyTorch tensor internals, including sizes, strides, offsets, and memory management, with practical examples for efficient deep learning workflows.
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Updated
Nov 24, 2024 - Jupyter Notebook
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pytorch-internals
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My upstream C++/OpenMP contributions to PyTorch Internals (Inductor BMM kernels, Autograd, & Compiler correctness).
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Updated
Feb 4, 2026 - Python
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