014f540f70
This runs the following benches in Perf-Android-*-CPU-* bots: - SkDiffBench-amazon - SkDiffBench-espn - SkDiffBench-googlecat - SkDiffBench-qq - SkDiffBench-taobao - SkDiffBench-wikicat - SkDiffBench-yahoo - SkDiffBench-youtube CQ_INCLUDE_TRYBOTS=skia.primary:Perf-Android-Clang-NVIDIA_Shield-CPU-TegraX1-arm64-Release-All-Android Change-Id: If8b51bd09cfb0bfcc04258bc68a94e1e4e24de90 Reviewed-on: https://skia-review.googlesource.com/c/skia/+/251205 Commit-Queue: Hal Canary <halcanary@skia.org> Reviewed-by: Kevin Lubick <kjlubick@google.com>
238 lines
10 KiB
Python
238 lines
10 KiB
Python
# Copyright 2014 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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# pylint: disable=W0201
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"""Default flavor, used for running code on desktop machines."""
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import collections
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WIN_TOOLCHAIN_DIR = 't'
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# Notes:
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# dm_dir: Where DM writes.
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# skp_dir: Holds SKP files that are consumed by RenderSKPs and BenchPictures.
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DeviceDirs = collections.namedtuple(
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'DeviceDirs', ['bin_dir', 'dm_dir', 'perf_data_dir', 'resource_dir', 'images_dir',
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'lotties_dir', 'skp_dir', 'svg_dir', 'mskp_dir', 'tmp_dir', 'texttraces_dir'])
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class DefaultFlavor(object):
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def __init__(self, module):
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# Store a pointer to the parent recipe module (SkiaFlavorApi) so that
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# FlavorUtils objects can do recipe module-like things, like run steps or
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# access module-level resources.
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self.module = module
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# self.m is just a shortcut so that Flavor objects can use the same
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# syntax as regular recipe modules to run steps, eg: self.m.step(...)
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self.m = module.m
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self._chrome_path = None
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self.device_dirs = DeviceDirs(
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bin_dir=self.m.vars.build_dir,
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dm_dir=self.m.vars.swarming_out_dir,
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perf_data_dir=self.m.vars.swarming_out_dir,
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resource_dir=self.m.path['start_dir'].join('skia', 'resources'),
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images_dir=self.m.path['start_dir'].join('skimage'),
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lotties_dir=self.m.path['start_dir'].join('lottie-samples'),
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skp_dir=self.m.path['start_dir'].join('skp'),
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svg_dir=self.m.path['start_dir'].join('svg'),
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mskp_dir=self.m.path['start_dir'].join('mskp'),
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tmp_dir=self.m.vars.tmp_dir,
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texttraces_dir=self.m.path['start_dir'].join('text_blob_traces'))
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self.host_dirs = self.device_dirs
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def device_path_join(self, *args):
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"""Like os.path.join(), but for paths on a connected device."""
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return self.m.path.join(*args)
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def copy_directory_contents_to_device(self, host_dir, device_dir):
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"""Like shutil.copytree(), but for copying to a connected device."""
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# For "normal" builders who don't have an attached device, we expect
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# host_dir and device_dir to be the same.
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if str(host_dir) != str(device_dir):
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raise ValueError('For builders who do not have attached devices, copying '
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'from host to device is undefined and only allowed if '
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'host_path and device_path are the same (%s vs %s).' % (
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str(host_dir), str(device_dir)))
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def copy_directory_contents_to_host(self, device_dir, host_dir):
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"""Like shutil.copytree(), but for copying from a connected device."""
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# For "normal" builders who don't have an attached device, we expect
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# host_dir and device_dir to be the same.
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if str(host_dir) != str(device_dir):
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raise ValueError('For builders who do not have attached devices, copying '
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'from device to host is undefined and only allowed if '
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'host_path and device_path are the same (%s vs %s).' % (
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str(host_dir), str(device_dir)))
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def copy_file_to_device(self, host_path, device_path):
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"""Like shutil.copyfile, but for copying to a connected device."""
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# For "normal" builders who don't have an attached device, we expect
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# host_dir and device_dir to be the same.
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if str(host_path) != str(device_path):
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raise ValueError('For builders who do not have attached devices, copying '
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'from host to device is undefined and only allowed if '
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'host_path and device_path are the same (%s vs %s).' % (
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str(host_path), str(device_path)))
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def create_clean_device_dir(self, path):
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"""Like shutil.rmtree() + os.makedirs(), but on a connected device."""
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self.create_clean_host_dir(path)
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def create_clean_host_dir(self, path):
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"""Convenience function for creating a clean directory."""
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self.m.run.rmtree(path)
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self.m.file.ensure_directory(
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'makedirs %s' % self.m.path.basename(path), path)
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def read_file_on_device(self, path, **kwargs):
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"""Reads the specified file."""
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return self.m.file.read_text('read %s' % path, path)
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def remove_file_on_device(self, path):
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"""Removes the specified file."""
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return self.m.file.remove('remove %s' % path, path)
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def install(self):
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"""Run device-specific installation steps."""
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pass
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def cleanup_steps(self):
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"""Run any device-specific cleanup steps."""
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pass
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def _run(self, title, cmd, infra_step=False, **kwargs):
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return self.m.run(self.m.step, title, cmd=cmd,
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infra_step=infra_step, **kwargs)
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def _py(self, title, script, infra_step=True, args=()):
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return self.m.run(self.m.python, title, script=script, args=args,
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infra_step=infra_step)
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def step(self, name, cmd, **unused_kwargs):
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app = self.device_dirs.bin_dir.join(cmd[0])
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cmd = [app] + cmd[1:]
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env = self.m.context.env
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path = []
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ld_library_path = []
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slave_dir = self.m.vars.slave_dir
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clang_linux = str(slave_dir.join('clang_linux'))
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extra_tokens = self.m.vars.extra_tokens
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if self.m.vars.is_linux:
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if (self.m.vars.builder_cfg.get('cpu_or_gpu', '') == 'GPU'
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and 'Intel' in self.m.vars.builder_cfg.get('cpu_or_gpu_value', '')):
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dri_path = slave_dir.join('mesa_intel_driver_linux')
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ld_library_path.append(dri_path)
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env['LIBGL_DRIVERS_PATH'] = str(dri_path)
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env['VK_ICD_FILENAMES'] = str(dri_path.join('intel_icd.x86_64.json'))
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if 'Vulkan' in extra_tokens:
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path.append(slave_dir.join('linux_vulkan_sdk', 'bin'))
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ld_library_path.append(slave_dir.join('linux_vulkan_sdk', 'lib'))
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if 'OpenCL' in extra_tokens:
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ld_library_path.append(slave_dir.join('opencl_ocl_icd_linux'))
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# TODO(dogben): Limit to the appropriate GPUs when we start running on
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# GPUs other than IntelIris640.
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# Skylake and later use the NEO driver.
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neo_path = slave_dir.join('opencl_intel_neo_linux')
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ld_library_path.append(neo_path)
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# Generate vendors dir contaning the ICD file pointing to the NEO OpenCL
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# library.
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vendors_dir = self.m.vars.tmp_dir.join('OpenCL', 'vendors')
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self.m.file.ensure_directory('mkdirs OpenCL/vendors', vendors_dir)
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self.m.file.write_raw('write NEO OpenCL ICD',
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vendors_dir.join('neo.icd'),
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'%s\n' % neo_path.join('libigdrcl.so'))
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env['OPENCL_VENDOR_PATH'] = vendors_dir
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if 'SwiftShader' in extra_tokens:
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ld_library_path.append(self.host_dirs.bin_dir.join('swiftshader_out'))
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if 'MSAN' in extra_tokens:
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# Find the MSAN-built libc++.
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ld_library_path.append(clang_linux + '/msan')
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if any('SAN' in t for t in extra_tokens):
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# Sanitized binaries may want to run clang_linux/bin/llvm-symbolizer.
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path.append(clang_linux + '/bin')
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# We find that testing sanitizer builds with libc++ uncovers more issues
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# than with the system-provided C++ standard library, which is usually
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# libstdc++. libc++ proactively hooks into sanitizers to help their
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# analyses. We ship a copy of libc++ with our Linux toolchain in /lib.
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ld_library_path.append(clang_linux + '/lib')
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elif self.m.vars.is_linux:
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cmd = ['catchsegv'] + cmd
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elif 'ProcDump' in extra_tokens:
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dumps_dir = self.m.path.join(self.m.vars.swarming_out_dir, 'dumps')
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self.m.file.ensure_directory('makedirs dumps', dumps_dir)
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procdump = str(self.m.vars.slave_dir.join('procdump_win',
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'procdump64.exe'))
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# Full docs for ProcDump here:
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# https://docs.microsoft.com/en-us/sysinternals/downloads/procdump
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# -accepteula automatically accepts the license agreement
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# -mp saves a packed minidump to save space
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# -e 1 tells procdump to dump once
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# -x <dump dir> <exe> <args> launches exe and writes dumps to the
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# specified dir
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cmd = [procdump, '-accepteula', '-mp', '-e', '1', '-x', dumps_dir] + cmd
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if 'ASAN' in extra_tokens or 'UBSAN' in extra_tokens:
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# Note: if you see "<unknown module>" in stacktraces for xSAN warnings,
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# try adding "fast_unwind_on_malloc=0" to xSAN_OPTIONS.
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if 'Mac' in self.m.vars.builder_cfg.get('os', ''):
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env['ASAN_OPTIONS'] = 'symbolize=1' # Mac doesn't support detect_leaks.
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else:
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env['ASAN_OPTIONS'] = 'symbolize=1 detect_leaks=1'
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env[ 'LSAN_OPTIONS'] = 'symbolize=1 print_suppressions=1'
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env['UBSAN_OPTIONS'] = 'symbolize=1 print_stacktrace=1'
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if 'TSAN' in extra_tokens:
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# We don't care about malloc(), fprintf, etc. used in signal handlers.
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# If we're in a signal handler, we're already crashing...
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env['TSAN_OPTIONS'] = 'report_signal_unsafe=0'
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if 'Coverage' in extra_tokens:
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# This is the output file for the coverage data. Just running the binary
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# will produce the output. The output_file is in the swarming_out_dir and
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# thus will be an isolated output of the Test step.
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profname = '%s.profraw' % self.m.vars.builder_cfg.get('test_filter','o')
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env['LLVM_PROFILE_FILE'] = self.m.path.join(self.m.vars.swarming_out_dir,
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profname)
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if path:
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env['PATH'] = self.m.path.pathsep.join(
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['%(PATH)s'] + ['%s' % p for p in path])
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if ld_library_path:
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env['LD_LIBRARY_PATH'] = self.m.path.pathsep.join(
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'%s' % p for p in ld_library_path)
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to_symbolize = ['dm', 'nanobench']
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if name in to_symbolize and self.m.vars.is_linux:
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# Convert path objects or placeholders into strings such that they can
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# be passed to symbolize_stack_trace.py
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args = [slave_dir] + [str(x) for x in cmd]
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with self.m.context(cwd=self.m.path['start_dir'].join('skia'), env=env):
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self._py('symbolized %s' % name,
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self.module.resource('symbolize_stack_trace.py'),
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args=args,
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infra_step=False)
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elif 'Win' in self.m.vars.builder_cfg.get('os', ''):
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with self.m.context(env=env):
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wrapped_cmd = ['powershell', '-ExecutionPolicy', 'Unrestricted',
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'-File',
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self.module.resource('win_run_and_check_log.ps1')] + cmd
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self._run(name, wrapped_cmd)
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else:
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with self.m.context(env=env):
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self._run(name, cmd)
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