[all-commits] [llvm/llvm-project] f29256: [MLGO] Improved support for AOT cross-targeting sc...
Mircea Trofin via All-commits
all-commits at lists.llvm.org
Thu Jan 20 07:06:29 PST 2022
Branch: refs/heads/main
Home: https://github.com/llvm/llvm-project
Commit: f29256a64ac11cf59cea878c8d1ba9537db4f523
https://github.com/llvm/llvm-project/commit/f29256a64ac11cf59cea878c8d1ba9537db4f523
Author: Mircea Trofin <mtrofin at google.com>
Date: 2022-01-20 (Thu, 20 Jan 2022)
Changed paths:
M llvm/CMakeLists.txt
M llvm/cmake/modules/TensorFlowCompile.cmake
M llvm/include/llvm/Analysis/InlineAdvisor.h
M llvm/include/llvm/Config/llvm-config.h.cmake
M llvm/lib/Analysis/InlineAdvisor.cpp
M llvm/lib/Analysis/MLInlineAdvisor.cpp
M llvm/lib/CodeGen/MLRegallocEvictAdvisor.cpp
M llvm/lib/CodeGen/RegAllocEvictionAdvisor.cpp
M llvm/lib/CodeGen/RegAllocEvictionAdvisor.h
M llvm/test/CodeGen/MLRegalloc/dev-rel-equivalence.ll
M llvm/test/Transforms/Inline/ML/bounds-checks.ll
M llvm/test/Transforms/Inline/ML/ml-test-release-mode.ll
Log Message:
-----------
[MLGO] Improved support for AOT cross-targeting scenarios
The tensorflow AOT compiler can cross-target, but it can't run on (for
example) arm64. We added earlier support where the AOT-ed header and object
would be built on a separate builder and then passed at build time to
a build host where the AOT compiler can't run, but clang can be otherwise
built.
To simplify such scenarios given we now support more than one AOT-able
case (regalloc and inliner), we make the AOT scenario centered on whether
files are generated, case by case (this includes the "passed from a
different builder" scenario).
This means we shouldn't need an 'umbrella' LLVM_HAVE_TF_AOT, in favor of
case by case control. A builder can opt out of an AOT case by passing that case's
model path as `none`. Note that the overrides still take precedence.
This patch controls conditional compilation with case-specific flags,
which can be enabled locally, for the component where those are
available. We still keep an overall flag for some tests.
The 'development/training' mode is unchanged, because there the model is
passed from the command line and interpreted.
Differential Revision: https://reviews.llvm.org/D117752
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