1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
|
# 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', 'nonrendering', 'hwui' ]
if '-arm-' not in bot:
# For Android CPU tests, these take too long and cause the task to time out.
config += [ 'f16', 'srgb' ]
if '-GCE-' in bot:
config += [ '565' ]
gl_prefix = 'gl'
sample_count = '8'
if 'Android' in bot or 'iOS' in bot:
sample_count = '4'
# The NVIDIA_Shield has a regular OpenGL implementation. We bench that
# instead of ES.
if 'NVIDIA_Shield' not in bot:
gl_prefix = 'gles'
# The NP produces a long error stream when we run with MSAA.
# iOS crashes (skia:6399)
if 'NexusPlayer' in bot or 'iOS' in bot:
sample_count = ''
config.append(gl_prefix)
if sample_count is not '':
config.extend([gl_prefix + 'msaa' + sample_count,
gl_prefix + 'nvpr' + sample_count,
gl_prefix + 'nvprdit' + sample_count])
# We want to test both the OpenGL config and the GLES config on Linux Intel:
# GL is used by Chrome, GLES is used by ChromeOS.
if 'Intel' in bot and 'Ubuntu' in bot:
config.extend(['gles', 'glesmsaa4'])
# Bench instanced rendering on a limited number of platforms
inst_config = gl_prefix + 'inst'
if 'Nexus6' in bot:
config.append(inst_config) # msaa inst isn't working yet on Adreno.
elif 'PixelC' in bot or 'NVIDIA_Shield' in bot or 'MacMini6.2' in bot:
config.extend([inst_config, inst_config + sample_count])
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 'Intel' in bot and 'Ubuntu' in bot and not 'Vulkan' in bot:
match.append('~native_image_to_raster_surface') # skia:6401
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 = api.step.get_from_context('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'])
with api.step.context({'env': env}):
api.run(api.flavor.step, target, cmd=args,
abort_on_failure=False)
# 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()
env = self.m.step.get_from_context('env', {})
if 'iOS' in self.m.vars.builder_name:
env['IOS_BUNDLE_ID'] = 'com.google.nanobench'
with self.m.step.context({'env': env}):
try:
self.m.flavor.install_everything()
perf_steps(self.m)
finally:
self.m.flavor.cleanup_steps()
self.m.run.check_failure()
|
