| //===- InlineModelFeatureMaps.h - common model runner defs ------*- C++ -*-===// |
| // |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| // See https://llvm.org/LICENSE.txt for license information. |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| // |
| //===----------------------------------------------------------------------===// |
| // |
| |
| #ifndef LLVM_ANALYSIS_INLINEMODELFEATUREMAPS_H |
| #define LLVM_ANALYSIS_INLINEMODELFEATUREMAPS_H |
| |
| #include <array> |
| #include <string> |
| #include <vector> |
| |
| namespace llvm { |
| |
| // List of features. Each feature is defined through a triple: |
| // - the name of an enum member, which will be the feature index |
| // - a textual name, used for Tensorflow model binding (so it needs to match the |
| // names used by the Tensorflow model) |
| // - a documentation description. Currently, that is not used anywhere |
| // programmatically, and serves as workaround to inability of inserting comments |
| // in macros. |
| #define INLINE_FEATURE_ITERATOR(M) \ |
| M(CalleeBasicBlockCount, "callee_basic_block_count", \ |
| "number of basic blocks of the callee") \ |
| M(CallSiteHeight, "callsite_height", \ |
| "position of the call site in the original call graph - measured from " \ |
| "the farthest SCC") \ |
| M(NodeCount, "node_count", \ |
| "total current number of defined functions in the module") \ |
| M(NrCtantParams, "nr_ctant_params", \ |
| "number of parameters in the call site that are constants") \ |
| M(CostEstimate, "cost_estimate", "total cost estimate (threshold - free)") \ |
| M(EdgeCount, "edge_count", \ |
| "number of module-internal users of the caller, +1 if the caller is " \ |
| "exposed externally") \ |
| M(CallerUsers, "caller_users", \ |
| "number of blocks reached from a conditional instruction, in the caller") \ |
| M(CallerConditionallyExecutedBlocks, "caller_conditionally_executed_blocks", \ |
| "number of blocks reached from a conditional instruction, in the caller") \ |
| M(CallerBasicBlockCount, "caller_basic_block_count", \ |
| "number of basic blocks in the caller") \ |
| M(CalleeConditionallyExecutedBlocks, "callee_conditionally_executed_blocks", \ |
| "number of blocks reached from a conditional instruction, in the callee") \ |
| M(CalleeUsers, "callee_users", \ |
| "number of blocks reached from a conditional instruction, in the callee") |
| |
| enum class FeatureIndex : size_t { |
| #define POPULATE_INDICES(INDEX_NAME, NAME, COMMENT) INDEX_NAME, |
| INLINE_FEATURE_ITERATOR(POPULATE_INDICES) |
| #undef POPULATE_INDICES |
| NumberOfFeatures |
| }; |
| |
| constexpr size_t NumberOfFeatures = |
| static_cast<size_t>(FeatureIndex::NumberOfFeatures); |
| |
| extern const std::array<std::string, NumberOfFeatures> FeatureNameMap; |
| |
| extern const char *const DecisionName; |
| extern const char *const DefaultDecisionName; |
| extern const char *const RewardName; |
| |
| using InlineFeatures = std::vector<int64_t>; |
| |
| } // namespace llvm |
| #endif // LLVM_ANALYSIS_INLINEMODELFEATUREMAPS_H |