depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

arXiv:2403.13839v1 Announce Type: new
Abstract: PyTorch \texttt{2.x} introduces a compiler designed to accelerate deep learning programs. However, for machine learning researchers, adapting to the PyTorch compiler to full potential can be challenging. The compiler operates at the Python bytecode level, making it appear as an opaque box. To address this, we introduce \texttt{depyf}, a tool designed to demystify the inner workings of the PyTorch compiler. \texttt{depyf} decompiles bytecode generated by PyTorch back into equivalent source code, and establishes connections between …

arxiv box compiler cs.ai cs.lg cs.pl machine machine learning pytorch researchers type