mirror of https://github.com/ArduPilot/ardupilot
waf: add gbenchmark Waf tool
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parent
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#!/usr/bin/env python
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# encoding: utf-8
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"""
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gbenchmark is a Waf tool for benchmark builds in Ardupilot
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"""
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from waflib import Build, Context, Task
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from waflib.TaskGen import feature, before_method, after_method
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def configure(cfg):
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env = cfg.env
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env.HAS_GBENCHMARK = False
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cfg.start_msg('Checking for gbenchmark submodule')
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cmake_lists = cfg.srcnode.find_resource('modules/gbenchmark/CMakeLists.txt')
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if not cmake_lists:
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cfg.end_msg('not initialized', color='YELLOW')
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return
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cfg.end_msg('yes')
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cfg.find_program('cmake', mandatory=False)
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if not env.CMAKE:
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return
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env.GBENCHMARK_CMAKE_GENERATOR = None
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cfg.find_program('ninja', mandatory=False)
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if not env.NINJA:
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cfg.find_program('ninja-build', var='NINJA', mandatory=False)
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if env.NINJA:
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env.GBENCHMARK_CMAKE_GENERATOR = 'Ninja'
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env.GBENCHMARK_GENERATOR_OPTION = ''
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if env.GBENCHMARK_CMAKE_GENERATOR:
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env.GBENCHMARK_GENERATOR_OPTION = '-G%s' % env.GBENCHMARK_CMAKE_GENERATOR
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prefix_node = cfg.bldnode.make_node('gbenchmark')
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my_build_node = cfg.bldnode.make_node('gbenchmark_build')
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my_src_node = cfg.srcnode.find_dir('modules/gbenchmark')
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env.GBENCHMARK_PREFIX_REL = prefix_node.path_from(cfg.bldnode)
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env.GBENCHMARK_BUILD = my_build_node.abspath()
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env.GBENCHMARK_BUILD_REL = my_build_node.path_from(cfg.bldnode)
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env.GBENCHMARK_SRC = my_src_node.abspath()
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env.INCLUDES_GBENCHMARK = [prefix_node.make_node('include').abspath()]
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env.LIBPATH_GBENCHMARK = [prefix_node.make_node('lib').abspath()]
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env.LIB_GBENCHMARK = ['benchmark']
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env.HAS_GBENCHMARK = True
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class gbenchmark_build(Task.Task):
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def __init__(self, *k, **kw):
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super(gbenchmark_build, self).__init__(*k, **kw)
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bldnode = self.generator.bld.bldnode
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output_list = [
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'%s/%s' % (self.env.GBENCHMARK_PREFIX_REL, path)
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for path in (
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'include/benchmark/benchmark.h',
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'include/benchmark/macros.h',
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'include/benchmark/benchmark_api.h',
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'include/benchmark/reporter.h',
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'lib/libbenchmark.a',
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)
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]
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self.outputs.extend([bldnode.make_node(f) for f in output_list])
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def run(self):
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bld = self.generator.bld
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cmds = []
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cmake_lists = bld.srcnode.find_resource('modules/gbenchmark/CMakeLists.txt')
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if not cmake_lists:
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bld.fatal('Submodule gbenchmark not initialized, please run configure again')
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# Generate build system first, if necessary
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my_build_node = bld.bldnode.find_dir(self.env.GBENCHMARK_BUILD_REL)
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if not (my_build_node and my_build_node.find_resource('CMakeCache.txt')):
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if not my_build_node:
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bld.bldnode.make_node(self.env.GBENCHMARK_BUILD_REL).mkdir()
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cmds.append('%s %s -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX:PATH=%s %s' % (
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self.env.CMAKE[0],
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self.env.GBENCHMARK_SRC,
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bld.bldnode.make_node(self.env.GBENCHMARK_PREFIX_REL).abspath(),
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self.env.GBENCHMARK_GENERATOR_OPTION
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))
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cmds.append('%s --build %s --target install' % (
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self.env.CMAKE[0],
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self.env.GBENCHMARK_BUILD
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))
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try:
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for cmd in cmds:
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bld.cmd_and_log(
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cmd,
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cwd=self.env.GBENCHMARK_BUILD,
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quiet=Context.BOTH,
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)
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return 0
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except Exception as e:
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print(e.stdout, e.stderr)
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return 1
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def __str__(self):
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return 'Google Benchmark'
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gbenchmark_build = Task.always_run(Task.update_outputs(gbenchmark_build))
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build_task = None
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@feature('gbenchmark')
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@before_method('process_use')
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def append_gbenchmark_use(self):
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self.use = self.to_list(getattr(self, 'use', []))
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if 'GBENCHMARK' not in self.use:
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self.use.append('GBENCHMARK')
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@feature('gbenchmark')
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@after_method('process_source')
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def wait_for_gbenchmark_build(self):
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global build_task
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if not build_task:
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build_task = self.create_task('gbenchmark_build')
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for task in self.compiled_tasks:
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task.set_run_after(build_task)
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task.dep_nodes.extend(build_task.outputs)
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@ -0,0 +1,49 @@
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/*
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* Utility header for benchmarks with Google Benchmark.
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*/
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#include <benchmark/benchmark.h>
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/* The two functions below are an approach proposed by Chandler Carruth in
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* CPPCON 2015: CppCon 2015: "Tuning C++: Benchmarks, and CPUs, and Compilers!
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* Oh My!" in order keep the compiler from optimizing the use of a variable
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* (gbenchmark_escape) or whole memory (gbenchmark_clobber).
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*
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* The compiler optimizer may sometimes remove code when it sees it isn't
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* necessary. For example, when a variable isn't used, the optimizer removes
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* the code that computes the value for that variable - that's not good for
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* benchmarks. The function gbenchmark_escape(void *p) makes the compiler think
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* that that p is being used in a code that might have "unknowable side
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* effects", which keeps it from removing the variable. The "side effects" in
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* the case here would be the benchmark numbers.
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*
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* Here is an example that would give wrong benchmark values:
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*
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* static void BM_Test(benchmark::State& state)
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* {
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* while (state.KeepRunning()) {
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* float a = expensive_operation();
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* }
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* }
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*
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* Since variable a isn't used, the call to expensive_operation() is removed
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* from the compiled program. The benchmark would show that
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* expensive_operation() is extremely fast. The following code would fix that:
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*
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* static void BM_Test(benchmark::State& state)
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* {
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* while (state.KeepRunning()) {
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* float a = expensive_operation();
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* gbenchmark_escape(&a);
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* }
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* }
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*/
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inline void gbenchmark_escape(void* p)
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{
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asm volatile("" : : "g"(p) : "memory");
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}
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inline void gbenchmark_clobber()
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{
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asm volatile("" : : : "memory");
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}
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