commit | 1fc815c474d9d48bd080b62db29be97ebc037116 | [log] [tgz] |
---|---|---|
author | Scott Todd <scotttodd@google.com> | Tue Aug 22 10:35:13 2023 -0700 |
committer | GitHub <noreply@github.com> | Tue Aug 22 17:35:13 2023 +0000 |
tree | c14e2437f93cc20fbc8e315f4cf8b0639e7cb65f | |
parent | 254f29c8ba3c6703a15a2bde519427c0ae79b922 [diff] |
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 ```
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.
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!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.