• Home
  • Raw
  • Download

Lines Matching +full:- +full:- +full:pgo

11 `CMake <http://www.cmake.org/>`_ is a cross-platform build-generator tool. CMake
25 The Clang CMake build system supports bootstrap (aka multi-stage) builds. At a
26 high level a multi-stage build is a chain of builds that pass data from one
30 In a simple two-stage bootstrap build, we build clang using the system compiler,
31 then use that just-built clang to build clang again. In CMake this simplest form
35 .. code-block:: console
37 $ cmake -G Ninja -DCLANG_ENABLE_BOOTSTRAP=On <path to source>
47 general a stage*n* build is built using the output from stage*n-1*.
53 bootstrapping scenario. Apple Clang is built using a 2-stage build.
55 The stage1 compiler is a host-only compiler with some options set. The stage1
63 .. code-block:: console
65 $ cmake -G Ninja -C <path to clang>/cmake/caches/Apple-stage1.cmake <path to source>
66 $ ninja stage2-distribution
69 CLANG_BOOTSTRAP_CMAKE_ARGS to pass the Apple-stage2.cmake cache script to the
72 When you build the stage2-distribution target it builds the minimal stage1
74 based on the settings in Apple-stage2.cmake.
80 Multi-stage PGO
83 Profile-Guided Optimizations (PGO) is a really great way to optimize the code
84 clang generates. Our multi-stage PGO builds are a workflow for generating PGO
87 At a high level, the way PGO works is that you build an instrumented compiler,
91 you use llvm-profdata to merge the files into a single profdata file that you
94 Our PGO.cmake cache script automates that whole process. You can use it by
97 .. code-block:: console
99 $ cmake -G Ninja -C <path_to_clang>/cmake/caches/PGO.cmake <source dir>
100 $ ninja stage2-instrumented-generate-profdata
104 and you *must* have compiler-rt in your build tree.
106 This process uses any source files under the perf-training directory as training
107 data as long as the source files are marked up with LIT-style RUN lines.
109 After it finishes you can use “find . -name clang.profdata” to find it, but it
112 .. code-block:: console
114 <build dir>/tools/clang/stage2-instrumented-bins/utils/perf-training/clang.profdata
119 The PGO came cache has a slightly different stage naming scheme than other
120 multi-stage builds. It generates three stages; stage1, stage2-instrumented, and
123 The PGO came cache generates the following additional targets:
125 **stage2-instrumented**
126 Builds a stage1 x86 compiler, runtime, and required tools (llvm-config,
127 llvm-profdata) then uses that compiler to build an instrumented stage2 compiler.
129 **stage2-instrumented-generate-profdata**
130 Depends on "stage2-instrumented" and will use the instrumented compiler to
131 generate profdata based on the training files in <clang>/utils/perf-training
134 Depends of "stage2-instrumented-generate-profdata" and will use the stage1
135 compiler with the stage2 profdata to build a PGO-optimized compiler.
137 **stage2-check-llvm**
138 Depends on stage2 and runs check-llvm using the stage2 compiler.
140 **stage2-check-clang**
141 Depends on stage2 and runs check-clang using the stage2 compiler.
143 **stage2-check-all**
144 Depends on stage2 and runs check-all using the stage2 compiler.
146 **stage2-test-suite**
147 Depends on stage2 and runs the test-suite using the stage3 compiler (requires
148 in-tree test-suite).
150 3-Stage Non-Determinism
153 In the ancient lore of compilers non-determinism is like the multi-headed hydra.
161 this, you have a stage2 and stage3 compiler that should be bit-for-bit
164 You can perform one of these 3-stage builds with LLVM & clang using the
167 .. code-block:: console
169 $ cmake -G Ninja -C <path_to_clang>/cmake/caches/3-stage.cmake <source dir>
173 setup `here <http://lab.llvm.org:8011/builders/clang-3stage-ubuntu>`_ that runs