90e3cd7899
BUG=skia:6045 Change-Id: Ibd31e4cc44b71633377b05ad33c1bdab9024f78c Reviewed-on: https://skia-review.googlesource.com/8152 Reviewed-by: Ravi Mistry <rmistry@google.com> Commit-Queue: Kevin Lubick <kjlubick@google.com>
244 lines
7.6 KiB
Python
244 lines
7.6 KiB
Python
# Copyright 2016 The Chromium Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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# Recipe module for Skia Swarming perf.
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import calendar
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from recipe_engine import recipe_api
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def nanobench_flags(bot):
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args = ['--pre_log']
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if 'GPU' in bot:
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args.append('--images')
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args.extend(['--gpuStatsDump', 'true'])
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if 'Android' in bot and 'GPU' in bot:
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args.extend(['--useThermalManager', '1,1,10,1000'])
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args.extend(['--scales', '1.0', '1.1'])
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if 'iOS' in bot:
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args.extend(['--skps', 'ignore_skps'])
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config = ['8888', 'gpu', 'nonrendering', 'hwui' ]
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if 'AndroidOne' not in bot:
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config += [ 'f16', 'srgb' ]
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if '-GCE-' in bot:
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config += [ '565' ]
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# The NP produces a long error stream when we run with MSAA.
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if 'NexusPlayer' not in bot:
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if 'Android' in bot:
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# The NVIDIA_Shield has a regular OpenGL implementation. We bench that
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# instead of ES.
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if 'NVIDIA_Shield' in bot:
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config.remove('gpu')
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config.extend(['gl', 'glmsaa4', 'glnvpr4', 'glnvprdit4'])
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else:
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config.extend(['msaa4', 'nvpr4', 'nvprdit4'])
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else:
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config.extend(['msaa16', 'nvpr16', 'nvprdit16'])
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# Bench instanced rendering on a limited number of platforms
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if 'Nexus6' in bot:
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config.append('esinst') # esinst4 isn't working yet on Adreno.
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elif 'PixelC' in bot:
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config.extend(['esinst', 'esinst4'])
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elif 'NVIDIA_Shield' in bot:
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config.extend(['glinst', 'glinst4'])
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elif 'MacMini6.2' in bot:
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config.extend(['glinst', 'glinst16'])
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if 'CommandBuffer' in bot:
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config = ['commandbuffer']
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if 'Vulkan' in bot:
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config = ['vk']
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if 'ANGLE' in bot:
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config.extend(['angle_d3d11_es2'])
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# The GL backend of ANGLE crashes on the perf bot currently.
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if 'Win' not in bot:
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config.extend(['angle_gl_es2'])
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args.append('--config')
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args.extend(config)
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if 'Valgrind' in bot:
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# Don't care about Valgrind performance.
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args.extend(['--loops', '1'])
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args.extend(['--samples', '1'])
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# Ensure that the bot framework does not think we have timed out.
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args.extend(['--keepAlive', 'true'])
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match = []
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if 'Android' in bot:
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# Segfaults when run as GPU bench. Very large texture?
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match.append('~blurroundrect')
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match.append('~patch_grid') # skia:2847
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match.append('~desk_carsvg')
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if 'NexusPlayer' in bot:
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match.append('~desk_unicodetable')
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if 'Nexus5' in bot:
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match.append('~keymobi_shop_mobileweb_ebay_com.skp') # skia:5178
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if 'iOS' in bot:
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match.append('~blurroundrect')
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match.append('~patch_grid') # skia:2847
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match.append('~desk_carsvg')
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match.append('~keymobi')
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match.append('~path_hairline')
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match.append('~GLInstancedArraysBench') # skia:4714
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if 'IntelIris540' in bot and 'ANGLE' in bot:
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match.append('~tile_image_filter_tiled_64') # skia:6082
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if 'Vulkan' in bot and 'NexusPlayer' in bot:
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match.append('~hardstop') # skia:6037
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# We do not need or want to benchmark the decodes of incomplete images.
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# In fact, in nanobench we assert that the full image decode succeeds.
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match.append('~inc0.gif')
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match.append('~inc1.gif')
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match.append('~incInterlaced.gif')
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match.append('~inc0.jpg')
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match.append('~incGray.jpg')
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match.append('~inc0.wbmp')
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match.append('~inc1.wbmp')
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match.append('~inc0.webp')
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match.append('~inc1.webp')
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match.append('~inc0.ico')
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match.append('~inc1.ico')
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match.append('~inc0.png')
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match.append('~inc1.png')
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match.append('~inc2.png')
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match.append('~inc12.png')
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match.append('~inc13.png')
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match.append('~inc14.png')
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match.append('~inc0.webp')
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match.append('~inc1.webp')
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if match:
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args.append('--match')
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args.extend(match)
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return args
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def perf_steps(api):
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"""Run Skia benchmarks."""
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if api.vars.upload_perf_results:
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api.flavor.create_clean_device_dir(
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api.flavor.device_dirs.perf_data_dir)
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# Run nanobench.
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properties = [
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'--properties',
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'gitHash', api.vars.got_revision,
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'build_number', api.vars.build_number,
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]
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if api.vars.is_trybot:
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properties.extend([
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'issue', api.vars.issue,
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'patchset', api.vars.patchset,
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'patch_storage', api.vars.patch_storage,
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])
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if api.vars.no_buildbot:
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properties.extend(['no_buildbot', 'True'])
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properties.extend(['swarming_bot_id', api.vars.swarming_bot_id])
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properties.extend(['swarming_task_id', api.vars.swarming_task_id])
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target = 'nanobench'
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args = [
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target,
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'--undefok', # This helps branches that may not know new flags.
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'-i', api.flavor.device_dirs.resource_dir,
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'--skps', api.flavor.device_dirs.skp_dir,
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'--images', api.flavor.device_path_join(
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api.flavor.device_dirs.images_dir, 'nanobench'),
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]
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# Do not run svgs on Valgrind.
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if 'Valgrind' not in api.vars.builder_name:
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if ('Vulkan' not in api.vars.builder_name or
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'NexusPlayer' not in api.vars.builder_name):
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args.extend(['--svgs', api.flavor.device_dirs.svg_dir])
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skip_flag = None
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if api.vars.builder_cfg.get('cpu_or_gpu') == 'CPU':
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skip_flag = '--nogpu'
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elif api.vars.builder_cfg.get('cpu_or_gpu') == 'GPU':
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skip_flag = '--nocpu'
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if skip_flag:
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args.append(skip_flag)
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args.extend(nanobench_flags(api.vars.builder_name))
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if api.vars.upload_perf_results:
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now = api.time.utcnow()
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ts = int(calendar.timegm(now.utctimetuple()))
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json_path = api.flavor.device_path_join(
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api.flavor.device_dirs.perf_data_dir,
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'nanobench_%s_%d.json' % (api.vars.got_revision, ts))
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args.extend(['--outResultsFile', json_path])
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args.extend(properties)
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keys_blacklist = ['configuration', 'role', 'is_trybot']
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args.append('--key')
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for k in sorted(api.vars.builder_cfg.keys()):
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if not k in keys_blacklist:
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args.extend([k, api.vars.builder_cfg[k]])
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env = {}
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env.update(api.vars.default_env)
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if 'Ubuntu' in api.vars.builder_name and 'Vulkan' in api.vars.builder_name:
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sdk_path = api.vars.slave_dir.join('linux_vulkan_sdk', 'bin')
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lib_path = api.vars.slave_dir.join('linux_vulkan_sdk', 'lib')
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dri_path = api.vars.slave_dir.join('linux_vulkan_intel_driver_release')
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if 'Debug' in api.vars.builder_name:
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dri_path = api.vars.slave_dir.join('linux_vulkan_intel_driver_debug')
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env.update({
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'PATH':'%%(PATH)s:%s' % sdk_path,
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'LD_LIBRARY_PATH': lib_path,
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'LIBGL_DRIVERS_PATH':'%s' % dri_path,
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'VK_ICD_FILENAMES':'%s' % dri_path.join('intel_icd.x86_64.json'),
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})
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api.run(api.flavor.step, target, cmd=args,
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abort_on_failure=False,
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env=env)
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# See skia:2789.
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if ('Valgrind' in api.vars.builder_name and
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api.vars.builder_cfg.get('cpu_or_gpu') == 'GPU'):
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abandonGpuContext = list(args)
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abandonGpuContext.extend(['--abandonGpuContext', '--nocpu'])
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api.run(api.flavor.step,
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'%s --abandonGpuContext' % target,
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cmd=abandonGpuContext, abort_on_failure=False,
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env=api.vars.default_env)
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# Copy results to swarming out dir.
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if api.vars.upload_perf_results:
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api.file.makedirs('perf_dir', api.vars.perf_data_dir)
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api.flavor.copy_directory_contents_to_host(
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api.flavor.device_dirs.perf_data_dir,
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api.vars.perf_data_dir)
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class PerfApi(recipe_api.RecipeApi):
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def run(self):
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self.m.core.setup()
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if 'iOS' in self.m.vars.builder_name:
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self.m.vars.default_env['IOS_BUNDLE_ID'] = 'com.google.nanobench'
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try:
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self.m.flavor.install_everything()
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perf_steps(self.m)
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except recipe_api.InfraFailure as e:
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self.m.run.add_failed_step(e)
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raise
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finally:
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self.m.flavor.cleanup_steps()
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self.m.run.check_failure()
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