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3e712a8637
Summary: This is the InlineAdvisor used in 'development' mode. It enables two scenarios: - loading models via a command-line parameter, thus allowing for rapid training iteration, where models can be used for the next exploration phase without requiring recompiling the compiler. This trades off some compilation speed for the added flexibility. - collecting training logs, in the form of tensorflow.SequenceExample protobufs. We generate these as textual protobufs, which simplifies generation and testing. The protobufs may then be readily consumed by a tensorflow-based training algorithm. To speed up training, training logs may also be collected from the 'default' training policy. In that case, this InlineAdvisor does not use a model. RFC: http://lists.llvm.org/pipermail/llvm-dev/2020-April/140763.html Reviewers: jdoerfert, davidxl Subscribers: mgorny, hiraditya, llvm-commits Tags: #llvm Differential Revision: https://reviews.llvm.org/D83733
10 lines
465 B
LLVM
10 lines
465 B
LLVM
; Check that, in the absence of dependencies, we emit an error message when
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; trying to use ML-driven inlining.
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; REQUIRES: !have_tf_aot
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; REQUIRES: !have_tf_api
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; RUN: not opt -passes=scc-oz-module-inliner -enable-ml-inliner=development -S < %s 2>&1 | FileCheck %s
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; RUN: not opt -passes=scc-oz-module-inliner -enable-ml-inliner=release -S < %s 2>&1 | FileCheck %s
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declare i64 @f1()
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; CHECK: Could not setup Inlining Advisor for the requested mode and/or options |