================
@@ -134,3 +147,42 @@ if(CLANG_ORDER_FILE AND
set_target_properties(clang PROPERTIES LINK_DEPENDS ${CLANG_ORDER_FILE})
endif()
endif()
+
+if (CLANG_BOLT AND NOT LLVM_BUILD_INSTRUMENTED)
+ # Add a clang-bolt target for backwards compatibility.
+ add_custom_target(clang-bolt DEPENDS clang)
+
+ set(CLANG_BOLT_INSTRUMENTED "clang-bolt.inst" CACHE STRING
+ "Name of BOLT-instrumented Clang binary")
+ set(CLANG_INSTRUMENTED
${LLVM_RUNTIME_OUTPUT_INTDIR}/${CLANG_BOLT_INSTRUMENTED})
+ set(PERF_TRAINING_BINARY_DIR
${CMAKE_CURRENT_BINARY_DIR}/../../utils/perf-training)
+ set(BOLT_FDATA ${PERF_TRAINING_BINARY_DIR}/prof.fdata)
+ get_llvm_lit_path(
+ lit_base_dir
+ lit_file_name
+ ALLOW_EXTERNAL
+ )
+ set(LIT_COMMAND "${lit_base_dir}/${lit_file_name}")
+
+ # This POST_BUILD command is executed unconditionally even if the clang
target
+ # is already built. We need to wrap the whole bolt optimization process in
+ # a single python wrapper, so that we can first check if the binary has
+ # already been optimized and then exit early with a 0 status if it has.
+ add_custom_command(
+ TARGET clang POST_BUILD
+ COMMAND "${Python3_EXECUTABLE}"
${CMAKE_CURRENT_SOURCE_DIR}/../../utils/perf-training/perf-helper.py
+ bolt-optimize
+ --method ${CLANG_BOLT}
+ --input $<TARGET_FILE:clang>
+ --instrumented-output ${CLANG_INSTRUMENTED}
+ --fdata ${BOLT_FDATA}
+ --perf-training-binary-dir ${PERF_TRAINING_BINARY_DIR}
+ --readelf $<TARGET_FILE:llvm-readobj>
----------------
petrhosek wrote:
```suggestion
--readelf $<TARGET_FILE:llvm-readelf>
```
https://github.com/llvm/llvm-project/pull/119896
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