Fix bytecode module leak in iree-run-mlir. (#14774)

Caught by ASan:

```
370: =================================================================
370: ==3911909==ERROR: LeakSanitizer: detected memory leaks
370: 
370: Direct leak of 376 byte(s) in 1 object(s) allocated from:
370:     #0 0x6a9b022 in calloc (iree-build/tools/iree-run-mlir+0x6a9b022)
370:     #1 0x6ad5d47 in iree_allocator_system_alloc iree/runtime/src/iree/base/allocator.c:104:17
370:     #2 0x6ad5d47 in iree_allocator_system_ctl iree/runtime/src/iree/base/allocator.c:144:14
370:     #3 0x6ad56ad in iree_allocator_issue_alloc iree/runtime/src/iree/base/allocator.c:27:10
370:     #4 0x6ad56ad in iree_allocator_malloc iree/runtime/src/iree/base/allocator.c:32:10
370:     #5 0x1acf2486 in iree_vm_bytecode_module_create iree/runtime/src/iree/vm/bytecode/module.c:836:3
370:     #6 0x6afdf31 in iree_tooling_create_run_context iree/runtime/src/iree/tooling/run_module.c:107:9
370:     #7 0x6afdf31 in iree_tooling_run_module_with_data iree/runtime/src/iree/tooling/run_module.c:340:3
370:     #8 0x6ad2a24 in iree::(anonymous namespace)::CompileAndRunFile(iree_compiler_session_t*, char const*) iree/tools/iree-run-mlir-main.cc:359:3
370:     #9 0x6ad2a24 in main iree/tools/iree-run-mlir-main.cc:520:20
370:     #10 0x7fce3bc456c9 in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16
```
1 file changed
tree: c14e2437f93cc20fbc8e315f4cf8b0639e7cb65f
  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.