pytorch/torch/csrc/jit
2025-04-02 01:33:20 +00:00
..
api Use Wextra-semi (#140236) 2024-11-13 02:15:16 +00:00
backends Fix crash in -[PTMCoreMLCompiler _compileModel:atPath:] (#147809) 2025-02-25 20:56:16 +00:00
codegen Remove cppcoreguidelines-pro-type-member-init_fix suppression (#148638) 2025-04-02 01:33:20 +00:00
cuda [4/N] Avoid copy in std::get (#142285) 2024-12-09 07:59:35 +00:00
docs Add None return type to init (#132335) 2024-08-01 15:26:45 +00:00
frontend [codemod][lowrisk] Remove unused exception parameter from caffe2/aten/src/ATen/cuda/CUDABlas.cpp (#149328) 2025-03-19 02:05:33 +00:00
ir Remove cppcoreguidelines-pro-type-member-init_fix suppression (#148638) 2025-04-02 01:33:20 +00:00
mobile Fix clang-tidy warnings in torch/jit (#146963) 2025-02-15 03:36:59 +00:00
operator_upgraders Add None return type to init (#132335) 2024-08-01 15:26:45 +00:00
passes [ONNX] Clean up the diagnostics module (#149864) 2025-03-26 05:58:32 +00:00
python Enable move warnings for torch targets (#149923) 2025-03-26 08:38:13 +00:00
runtime Remove cppcoreguidelines-pro-type-member-init_fix suppression (#148638) 2025-04-02 01:33:20 +00:00
serialization [MTIA] Support loading Tensors on mtia:0 for pytorch code (#149327) 2025-03-20 18:05:15 +00:00
tensorexpr Enable move warnings for torch targets (#149923) 2025-03-26 08:38:13 +00:00
testing Fix clang-tidy warnings in torch/jit (#146963) 2025-02-15 03:36:59 +00:00
jit_log.cpp Revert "[Environment Variable][6/N] Use thread-safe getenv functions (#140200)" 2024-11-13 15:33:23 +00:00
jit_log.h
jit_opt_limit.cpp Revert "[Environment Variable][6/N] Use thread-safe getenv functions (#140200)" 2024-11-13 15:33:23 +00:00
jit_opt_limit.h
JIT-AUTOCAST.md
OVERVIEW.md c10::optional -> std::optional in PyTorch (#137333) 2024-10-11 00:16:10 +00:00
README.md
resource_guard.h

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.)