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opensecura / 3p / openxla / iree / d4748beb91da1b171826b796160a0d70dd380b63
commitd4748beb91da1b171826b796160a0d70dd380b63[log] [tgz]
authorScott Todd <scotttodd@google.com>Wed Oct 25 14:06:29 2023 -0700
committerGitHub <noreply@github.com>Wed Oct 25 14:06:29 2023 -0700
tree08085c7888358b7bd4903f0e4cc7447ee3d67d01
parentdbc51121bcf3432d6cf5b8dc35ddeb81758b40fe [diff]
Add PyTorch "advanced AOT API" documentation. (#15297)

|  | |
|--------|--------|
| Current page | https://iree.dev/guides/ml-frameworks/pytorch/ |
| Preview of this PR |
https://scotttodd.github.io/iree/guides/ml-frameworks/pytorch/ |

---

This includes

* A new diagram (contrasting with the "simple API" diagram)


![image](https://github.com/openxla/iree/assets/4010439/32b0b38c-5093-4042-98ea-f4b8ea8c5885)

![image](https://github.com/openxla/iree/assets/4010439/0edce9da-b628-4e4d-b68d-bbe0e5660bc3)


* Code snippets and explanatory text for several features (going by what
I personally found salient, feedback would be very welcome here).
Sample:


![image](https://github.com/openxla/iree/assets/4010439/9f0d4553-867c-40ff-b336-8887281db779)

* Links to sample notebooks, tests, and example scripts (broad set for
now, can curate more as things mature)


![image](https://github.com/openxla/iree/assets/4010439/e405ccf3-d5da-4e74-81ba-b0c5c4911e9b)
1 file changed
tree: 08085c7888358b7bd4903f0e4cc7447ee3d67d01
  1. .devcontainer/
  2. .github/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. lib/
  9. llvm-external-projects/
  10. runtime/
  11. samples/
  12. tests/
  13. third_party/
  14. tools/
  15. .bazel_to_cmake.cfg.py
  16. .bazelignore
  17. .bazelrc
  18. .bazelversion
  19. .clang-format
  20. .dockerignore
  21. .git-blame-ignore-revs
  22. .gitignore
  23. .gitmodules
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. README.md
  33. WORKSPACE
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

CI Status

Project Status

IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!

Communication Channels

Related Project Channels

  • MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture Overview

IREE Architecture IREE Architecture

See our website for more information.

Presentations and Talks

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.