[OpenMP][Offload][AMDGPU] Fix offload tests failure after the new triple (#208617) Offload tests failed after introducing the new triple. This PR attempts to address that. It includes the changes in https://github.com/llvm/llvm-project/pull/208551. In addition, it also made following changes: - Updated flang builder that our buildbot uses; - Updated the CMakeLists for offload and AMDGPU device runtime (a little duplications to avoid breaking other buildbots); - Added per target linker path and mapping for lit substitution/features in lit config; - Updated hard-coded check lines in the tests. This PR reduces the failed offload tests from 246 to 2 on my test runs locally. Test results and the two failed tests: ``` Failed Tests (2): libomptarget :: amdgpu-amd-amdhsa :: offloading/fortran/declare-target-common-block-main.f90 libomptarget :: amdgpu-amd-amdhsa :: sanitizer/use_after_free_2.c Total Discovered Tests: 3478 Skipped : 77 (2.21%) Unsupported : 341 (9.80%) Passed : 3053 (87.78%) Expectedly Failed: 5 (0.14%) Failed : 2 (0.06%) ``` I was not able to identify the commits for the two failed tests yet (didn't look like flakiness), will try again later. Co-authored-by: Jan Patrick Lehr <JanPatrick.Lehr@amd.com>
Welcome to the LLVM project!
This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.
C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
Consult the Getting Started with LLVM page for information on building and running LLVM.
For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.
The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.