commit | a7e9dcfccf8f932de363e74d4b08706ae9759899 | [log] [tgz] |
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author | Yidi Wu <yidi@meta.com> | Mon Sep 18 09:58:27 2023 -0700 |
committer | Facebook GitHub Bot <facebook-github-bot@users.noreply.github.com> | Mon Sep 18 09:58:27 2023 -0700 |
tree | de28b8b07752ebdaf7cf1942b125320097b088c6 | |
parent | c52000a73807d918f6ca7a0b73d25995f2eb8555 [diff] |
Rename SymShapeEval pass to HintBasedSymShapeEval pass and add warning for it. (#377) Summary: Pull Request resolved: https://github.com/pytorch/executorch/pull/377 As titled. The original SymShapeEvalPass doesn't respect user constraints and is based on hints of the symbolics. This diff changes its name to HintBasedSymShapeEval pass to make it clearer. Reviewed By: angelayi Differential Revision: D49335965 fbshipit-source-id: 8dbacc666276c46653dbaa2b8d23c81bee70c507
A unified ML software stack within the PyTorch platform for edge devices. It defines new compiler entry points as well as a state-of-art runtime.
Compared to the legacy Lite Interpreter, there are some major benefits:
executorch ├── backends # 1st party backend implementations. | ├── xnnpack | ├── vulkan ├── build # Utilities for managing the build system. ├── bundled_program # Utilities for attaching reference inputs and outputs to models. TODO move to extension ├── codegen # Tooling to autogenerate bindings between kernels and the runtime. TODO move to tool ├── configurations # TODO delete this ├── docs # Static docs tooling ├── examples # Examples of various user flows, such as model export, delegates, and runtime execution. | ├── executor_runner | ├── export | ├── models ├── exir # Ahead of time library, model capture and lowering apis. | ├── backend # Backend delegate ahead of time APIs | ├── capture # Program capture. | ├── dialects # Op sets for various dialects in the export process. | ├── emit # Conversion from ExportedProgram to Executorch execution instructions. | ├── program # Export artifacts. | ├── serialize # Serialize final export artifact. ├── extension # Extensions built on top of the runtime. | ├── aten_util | ├── data_loader # 1st party data loader implementations. | ├── memory_allocator # 1st party memory allocator implementations. | ├── pybindings # Python api for executorch runtime. | ├── pytree # C++ and Python flattening and unflattening lib for pytrees. | ├── testing_util ├── kernels # 1st party kernel implementations. | ├── aten | ├── optimized | ├── portable # Reference implementations of ATen operators. | ├── prim_ops # Special ops used in executorch runtime for control flow and symbolic primitives. | ├── quantized ├── profiler # Utilities for profiling. TODO delete in favor of ETDump in sdk/ ├── runtime # core cpp runtime of executorch | ├── backend # Backend delegate runtime APIs | ├── core # Core structures used across all levels of the runtime | ├── executor # Model loading, initalization, and execution. | ├── kernel # Kernel registration and management. | ├── platform # Layer between architecture specific code and user calls. ├── schema # Executorch program definition, TODO move under serialization/ ├── scripts # Utility scripts for size management, dependency management, etc. ├── sdk # Model profiling, debugging, and introspection: NOT READY YET FOR OSS USE ├── shim # Compatibility layer between OSS and Internal builds ├── test # Broad scoped end2end tests ├── third-party # third-party dependencies ├── util # TODO delete this
ExecuTorch is BSD licensed, as found in the LICENSE file.