Files
pytorch/torch/csrc/jit
Zhenghao Hu f1444f006c [caffe2/torch] Fixup upstream LLVM (major version 21) API changes (#148833)
Latest LLVM introduced two changes related to the `Triple` usage that causes build failures when building pytorch.

## Failure in llvm_codegen.cpp:
Triple is stored in Modules instead of the string: 979c275097

## Failure in llvm_jit.cpp:
Triple argument is removed from LLJITBuilder::... : b18e5b6a36

Pull Request resolved: https://github.com/pytorch/pytorch/pull/148833
Approved by: https://github.com/Skylion007
2025-03-09 18:58:36 +00:00
..
2024-11-13 02:15:16 +00:00
2025-03-08 04:56:42 +00:00
2025-03-08 04:56:42 +00:00

PyTorch JIT

This folder contains (most of) the C++ code for the PyTorch JIT, a language and compiler stack for executing PyTorch models portably and efficiently. To learn more about the JIT from a user perspective, please consult our reference documentation and tutorials.

A brief summary of the source tree:

  • OVERVIEW.md: High-level technical overview of the JIT.
  • frontend/: Taking PyTorch modules in Python and translating them into the JIT IR.
  • ir/: Core IR abstractions.
  • runtime/: Interpreter, graph execution, and JIT operators.
  • codegen/: Generating efficient, hardware-specific code for JIT subgraphs.
  • serialization/: Saving and loading modules.
  • api/: Any user-facing C++ or Python interfaces.
  • python/: Binding stuff into Python or accessing information from the Python environment.
  • testing/: Utilities and helpers for testing.
  • mobile/: Mobile-specific implementations of runtime components.
  • passes/: IR-to-IR passes, generally for optimization and lowering.
  • generated/: This folder is generated by the PyTorch build, and contains bindings for native PyTorch operators into the JIT.

Refer to each folder for more in-depth documentation.

Other relevant parts of the codebase not contained here:

  • aten/src/ATen/core: contains JIT code re-used by other elements of the runtime system (eager, mobile, etc.)