# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # Recipe module for Skia Swarming perf. import calendar from recipe_engine import recipe_api def nanobench_flags(bot): args = ['--pre_log'] if 'GPU' in bot: args.append('--images') args.extend(['--gpuStatsDump', 'true']) if 'Android' in bot and 'GPU' in bot: args.extend(['--useThermalManager', '1,1,10,1000']) args.extend(['--scales', '1.0', '1.1']) if 'iOS' in bot: args.extend(['--skps', 'ignore_skps']) config = ['8888', 'gpu', 'nonrendering', 'hwui' ] if 'AndroidOne' not in bot: config += [ 'f16', 'srgb' ] if '-GCE-' in bot: config += [ '565' ] # The NP produces a long error stream when we run with MSAA. if 'NexusPlayer' not in bot: if 'Android' in bot: # The NVIDIA_Shield has a regular OpenGL implementation. We bench that # instead of ES. if 'NVIDIA_Shield' in bot: config.remove('gpu') config.extend(['gl', 'glmsaa4', 'glnvpr4', 'glnvprdit4']) else: config.extend(['msaa4', 'nvpr4', 'nvprdit4']) else: config.extend(['msaa16', 'nvpr16', 'nvprdit16']) # Bench instanced rendering on a limited number of platforms if 'Nexus6' in bot: config.append('esinst') # esinst4 isn't working yet on Adreno. elif 'PixelC' in bot: config.extend(['esinst', 'esinst4']) elif 'NVIDIA_Shield' in bot: config.extend(['glinst', 'glinst4']) elif 'MacMini6.2' in bot: config.extend(['glinst', 'glinst16']) if 'CommandBuffer' in bot: config = ['commandbuffer'] if 'Vulkan' in bot: config = ['vk'] if 'ANGLE' in bot: config.extend(['angle_d3d11_es2']) # The GL backend of ANGLE crashes on the perf bot currently. if 'Win' not in bot: config.extend(['angle_gl_es2']) args.append('--config') args.extend(config) if 'Valgrind' in bot: # Don't care about Valgrind performance. args.extend(['--loops', '1']) args.extend(['--samples', '1']) # Ensure that the bot framework does not think we have timed out. args.extend(['--keepAlive', 'true']) match = [] if 'Android' in bot: # Segfaults when run as GPU bench. Very large texture? match.append('~blurroundrect') match.append('~patch_grid') # skia:2847 match.append('~desk_carsvg') if 'NexusPlayer' in bot: match.append('~desk_unicodetable') if 'Nexus5' in bot: match.append('~keymobi_shop_mobileweb_ebay_com.skp') # skia:5178 if 'iOS' in bot: match.append('~blurroundrect') match.append('~patch_grid') # skia:2847 match.append('~desk_carsvg') match.append('~keymobi') match.append('~path_hairline') match.append('~GLInstancedArraysBench') # skia:4714 if 'IntelIris540' in bot and 'ANGLE' in bot: match.append('~tile_image_filter_tiled_64') # skia:6082 if 'Vulkan' in bot and 'NexusPlayer' in bot: match.append('~hardstop') # skia:6037 # We do not need or want to benchmark the decodes of incomplete images. # In fact, in nanobench we assert that the full image decode succeeds. match.append('~inc0.gif') match.append('~inc1.gif') match.append('~incInterlaced.gif') match.append('~inc0.jpg') match.append('~incGray.jpg') match.append('~inc0.wbmp') match.append('~inc1.wbmp') match.append('~inc0.webp') match.append('~inc1.webp') match.append('~inc0.ico') match.append('~inc1.ico') match.append('~inc0.png') match.append('~inc1.png') match.append('~inc2.png') match.append('~inc12.png') match.append('~inc13.png') match.append('~inc14.png') match.append('~inc0.webp') match.append('~inc1.webp') if match: args.append('--match') args.extend(match) return args def perf_steps(api): """Run Skia benchmarks.""" if api.vars.upload_perf_results: api.flavor.create_clean_device_dir( api.flavor.device_dirs.perf_data_dir) # Run nanobench. properties = [ '--properties', 'gitHash', api.vars.got_revision, 'build_number', api.vars.build_number, ] if api.vars.is_trybot: properties.extend([ 'issue', api.vars.issue, 'patchset', api.vars.patchset, 'patch_storage', api.vars.patch_storage, ]) if api.vars.no_buildbot: properties.extend(['no_buildbot', 'True']) properties.extend(['swarming_bot_id', api.vars.swarming_bot_id]) properties.extend(['swarming_task_id', api.vars.swarming_task_id]) target = 'nanobench' args = [ target, '--undefok', # This helps branches that may not know new flags. '-i', api.flavor.device_dirs.resource_dir, '--skps', api.flavor.device_dirs.skp_dir, '--images', api.flavor.device_path_join( api.flavor.device_dirs.images_dir, 'nanobench'), ] # Do not run svgs on Valgrind. if 'Valgrind' not in api.vars.builder_name: if ('Vulkan' not in api.vars.builder_name or 'NexusPlayer' not in api.vars.builder_name): args.extend(['--svgs', api.flavor.device_dirs.svg_dir]) skip_flag = None if api.vars.builder_cfg.get('cpu_or_gpu') == 'CPU': skip_flag = '--nogpu' elif api.vars.builder_cfg.get('cpu_or_gpu') == 'GPU': skip_flag = '--nocpu' if skip_flag: args.append(skip_flag) args.extend(nanobench_flags(api.vars.builder_name)) if api.vars.upload_perf_results: now = api.time.utcnow() ts = int(calendar.timegm(now.utctimetuple())) json_path = api.flavor.device_path_join( api.flavor.device_dirs.perf_data_dir, 'nanobench_%s_%d.json' % (api.vars.got_revision, ts)) args.extend(['--outResultsFile', json_path]) args.extend(properties) keys_blacklist = ['configuration', 'role', 'is_trybot'] args.append('--key') for k in sorted(api.vars.builder_cfg.keys()): if not k in keys_blacklist: args.extend([k, api.vars.builder_cfg[k]]) env = {} env.update(api.vars.default_env) if 'Ubuntu16' in api.vars.builder_name: # The vulkan in this asset name simply means that the graphics driver # supports Vulkan. It is also the driver used for GL code. dri_path = api.vars.slave_dir.join('linux_vulkan_intel_driver_release') if 'Debug' in api.vars.builder_name: dri_path = api.vars.slave_dir.join('linux_vulkan_intel_driver_debug') if 'Vulkan' in api.vars.builder_name: sdk_path = api.vars.slave_dir.join('linux_vulkan_sdk', 'bin') lib_path = api.vars.slave_dir.join('linux_vulkan_sdk', 'lib') env.update({ 'PATH':'%%(PATH)s:%s' % sdk_path, 'LD_LIBRARY_PATH': '%s:%s' % (lib_path, dri_path), 'LIBGL_DRIVERS_PATH': dri_path, 'VK_ICD_FILENAMES':'%s' % dri_path.join('intel_icd.x86_64.json'), }) else: # Even the non-vulkan NUC jobs could benefit from the newer drivers. env.update({ 'LD_LIBRARY_PATH': dri_path, 'LIBGL_DRIVERS_PATH': dri_path, }) # See skia:2789. if '_AbandonGpuContext' in api.vars.builder_cfg.get('extra_config', ''): args.extend(['--abandonGpuContext', '--nocpu']) api.run(api.flavor.step, target, cmd=args, abort_on_failure=False, env=env) # Copy results to swarming out dir. if api.vars.upload_perf_results: api.file.makedirs('perf_dir', api.vars.perf_data_dir) api.flavor.copy_directory_contents_to_host( api.flavor.device_dirs.perf_data_dir, api.vars.perf_data_dir) class PerfApi(recipe_api.RecipeApi): def run(self): self.m.core.setup() if 'iOS' in self.m.vars.builder_name: self.m.vars.default_env['IOS_BUNDLE_ID'] = 'com.google.nanobench' try: self.m.flavor.install_everything() perf_steps(self.m) finally: self.m.flavor.cleanup_steps() self.m.run.check_failure()