def copy_dasm_files(spmi_location, upload_directory, tag_name):
"""Copies .dasm files to a tempDirectory, zip it, and copy the compressed file to the upload directory.
Args:
spmi_location (string): Location where .dasm files are present
upload_directory (string): Upload directory
tag_name (string): tag_name used in zip file name.
"""
print("Copy .dasm files")
# Create upload_directory
if not os.path.isdir(upload_directory):
os.makedirs(upload_directory)
dasm_file_present = False
# Create temp directory to copy all issues to upload. We don't want to create a sub-folder
# inside issues_directory because that will also get included twice.
with TempDir() as prep_directory:
for file_path, dirs, files in walk(spmi_location, topdown=True):
# Credit: https://stackoverflow.com/a/19859907
dirs[:] = [d for d in dirs]
for name in files:
if not name.lower().endswith(".dasm"):
continue
dasm_src_file = path.join(file_path, name)
dasm_dst_file = dasm_src_file.replace(spmi_location,
prep_directory)
dst_directory = path.dirname(dasm_dst_file)
if not os.path.exists(dst_directory):
os.makedirs(dst_directory)
try:
shutil.copy2(dasm_src_file, dasm_dst_file)
dasm_file_present = True
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
# If there are no diffs, create an zip file with single file in it.
# Otherwise, Azdo considers it as failed job.
# See https://github.com/dotnet/arcade/issues/8200
if not dasm_file_present:
no_diff = os.path.join(prep_directory, "nodiff.txt")
with open(no_diff, "w") as no_diff_file:
no_diff_file.write("No diffs found!")
# Zip compress the files we will upload
zip_path = os.path.join(prep_directory, "Asmdiffs_" + tag_name)
print("Creating archive: " + zip_path)
shutil.make_archive(zip_path, 'zip', prep_directory)
zip_path += ".zip"
dst_zip_path = os.path.join(upload_directory,
"Asmdiffs_" + tag_name + ".zip")
print("Copying {} to {}".format(zip_path, dst_zip_path))
try:
shutil.copy2(zip_path, dst_zip_path)
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
def main(main_args):
"""Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
antigen_directory = coreclr_args.antigen_directory
core_root = coreclr_args.core_root
tag_name = "{}-{}".format(coreclr_args.run_configuration,
coreclr_args.partition)
output_directory = coreclr_args.output_directory
run_duration = coreclr_args.run_duration
if not run_duration:
run_duration = 60
path_to_corerun = os.path.join(core_root, "corerun")
path_to_tool = os.path.join(antigen_directory, "Antigen")
if is_windows:
path_to_corerun += ".exe"
path_to_tool += ".exe"
if not is_windows:
# Disable core dumps. The fuzzers have their own graceful handling for
# runtime crashes. Especially on macOS we can quickly fill up the drive
# with dumps if we find lots of crashes since dumps there are very big.
import resource
resource.setrlimit(resource.RLIMIT_CORE, (0, 0))
try:
# Run tool such that issues are placed in a temp folder
with TempDir() as temp_location:
antigen_log = path.join(temp_location,
get_antigen_filename(tag_name))
run_command([
path_to_tool, "-c", path_to_corerun, "-o", temp_location, "-d",
str(run_duration)
],
_exit_on_fail=True,
_output_file=antigen_log)
# Copy issues for upload
print("Copying issues to " + output_directory)
copy_issues(temp_location, output_directory, tag_name)
except PermissionError as pe:
print("Got error: %s", pe)
def main(main_args):
"""Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
antigen_directory = coreclr_args.antigen_directory
core_root = coreclr_args.core_root
tag_name = "{}-{}".format(coreclr_args.run_configuration,
coreclr_args.partition)
output_directory = coreclr_args.output_directory
run_duration = coreclr_args.run_duration
if not run_duration:
run_duration = 60
path_to_corerun = os.path.join(core_root, "corerun")
path_to_tool = os.path.join(antigen_directory, "Antigen")
if is_windows:
path_to_corerun += ".exe"
path_to_tool += ".exe"
try:
# Run tool such that issues are placed in a temp folder
with TempDir() as temp_location:
antigen_log = path.join(temp_location,
get_antigen_filename(tag_name))
run_command([
path_to_tool, "-c", path_to_corerun, "-o", temp_location, "-d",
str(run_duration)
],
_exit_on_fail=True,
_output_file=antigen_log)
# Copy issues for upload
print("Copying issues to " + output_directory)
copy_issues(temp_location, output_directory, tag_name)
except PermissionError as pe:
print("Got error: %s", pe)
def main(main_args):
"""Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
fuzzlyn_directory = coreclr_args.fuzzlyn_directory
core_root = coreclr_args.core_root
tag_name = "{}-{}".format(coreclr_args.run_configuration,
coreclr_args.partition)
output_directory = coreclr_args.output_directory
if not coreclr_args.run_duration:
run_duration = 60 * 60 # 60 minutes by default
else:
run_duration = int(
coreclr_args.run_duration) * 60 # Run for duration in seconds
path_to_corerun = os.path.join(core_root, "corerun")
path_to_tool = os.path.join(fuzzlyn_directory, "Fuzzlyn")
if is_windows:
path_to_corerun += ".exe"
path_to_tool += ".exe"
os.makedirs(output_directory, exist_ok=True)
if not is_windows:
# Disable core dumps. The fuzzers have their own graceful handling for
# runtime crashes. Especially on macOS we can quickly fill up the drive
# with dumps if we find lots of crashes since dumps there are very big.
import resource
resource.setrlimit(resource.RLIMIT_CORE, (0, 0))
with TempDir() as temp_location:
summary_file_name = "issues-summary-{}.txt".format(tag_name)
summary_file_path = path.join(temp_location, summary_file_name)
with open(summary_file_path, 'w'):
pass
upload_fuzzer_output_path = path.join(
output_directory, "Fuzzlyn-{}.log".format(tag_name))
with open(summary_file_path, 'r') as fp:
exit_evt = threading.Event()
reduce_examples = ReduceExamples(fp, temp_location, path_to_tool,
path_to_corerun, exit_evt)
reduce_examples.start()
run_command([
path_to_tool, "--seconds-to-run",
str(run_duration), "--output-events-to", summary_file_path,
"--host", path_to_corerun, "--parallelism", "-1",
"--known-errors", "dotnet/runtime"
],
_exit_on_fail=True,
_output_file=upload_fuzzer_output_path)
exit_evt.set()
reduce_examples.join()
upload_summary_file_path = path.join(output_directory,
summary_file_name)
print("Copying summary: {} -> {}".format(summary_file_path,
upload_summary_file_path))
shutil.copy2(summary_file_path, upload_summary_file_path)
upload_issues_zip_path = path.join(output_directory,
"AllIssues-{}".format(tag_name))
print("Creating zip {}.zip".format(upload_issues_zip_path))
shutil.make_archive(upload_issues_zip_path, 'zip', temp_location)
def main(main_args):
""" Prepare the Helix data for SuperPMI asmdiffs Azure DevOps pipeline.
The Helix correlation payload directory is created and populated as follows:
<source_directory>\payload -- the correlation payload directory
-- contains the *.py scripts from <source_directory>\src\coreclr\scripts
-- contains superpmi.exe, mcs.exe from the target-specific build
<source_directory>\payload\base
-- contains the baseline JITs
<source_directory>\payload\diff
-- contains the diff JITs
<source_directory>\payload\jit-analyze
-- contains the self-contained jit-analyze build (from dotnet/jitutils)
<source_directory>\payload\git
-- contains a Portable ("xcopy installable") `git` tool, downloaded from:
https://netcorenativeassets.blob.core.windows.net/resource-packages/external/windows/git/Git-2.32.0-64-bit.zip
This is needed by jit-analyze to do `git diff` on the generated asm. The `<source_directory>\payload\git\cmd`
directory is added to the PATH.
NOTE: this only runs on Windows.
Then, AzDO pipeline variables are set.
Args:
main_args ([type]): Arguments to the script
Returns:
0 on success, otherwise a failure code
"""
# Set up logging.
logger = logging.getLogger()
logger.setLevel(logging.INFO)
stream_handler = logging.StreamHandler(sys.stdout)
stream_handler.setLevel(logging.INFO)
logger.addHandler(stream_handler)
coreclr_args = setup_args(main_args)
arch = coreclr_args.arch
source_directory = coreclr_args.source_directory
product_directory = coreclr_args.product_directory
python_path = sys.executable
# CorrelationPayload directories
correlation_payload_directory = os.path.join(source_directory, "payload")
superpmi_scripts_directory = os.path.join(source_directory, 'src', 'coreclr', 'scripts')
base_jit_directory = os.path.join(correlation_payload_directory, "base")
diff_jit_directory = os.path.join(correlation_payload_directory, "diff")
jit_analyze_build_directory = os.path.join(correlation_payload_directory, "jit-analyze")
git_directory = os.path.join(correlation_payload_directory, "git")
######## Get the portable `git` package
git_url = "https://netcorenativeassets.blob.core.windows.net/resource-packages/external/windows/git/Git-2.32.0-64-bit.zip"
print('Downloading {} -> {}'.format(git_url, git_directory))
urls = [ git_url ]
# There are too many files to be verbose in the download and copy.
download_files(urls, git_directory, verbose=False, display_progress=False)
git_exe_tool = os.path.join(git_directory, "cmd", "git.exe")
if not os.path.isfile(git_exe_tool):
print('Error: `git` not found at {}'.format(git_exe_tool))
return 1
######## Get SuperPMI python scripts
# Copy *.py to CorrelationPayload
print('Copying {} -> {}'.format(superpmi_scripts_directory, correlation_payload_directory))
copy_directory(superpmi_scripts_directory, correlation_payload_directory, verbose_copy=True,
match_func=lambda path: any(path.endswith(extension) for extension in [".py"]))
######## Get baseline JIT
# Figure out which baseline JIT to use, and download it.
if not os.path.exists(base_jit_directory):
os.makedirs(base_jit_directory)
print("Fetching history of `main` branch so we can find the baseline JIT")
run_command(["git", "fetch", "--depth=500", "origin", "main"], source_directory, _exit_on_fail=True)
# Note: we only support downloading Windows versions of the JIT currently. To support downloading
# non-Windows JITs on a Windows machine, pass `-host_os <os>` to jitrollingbuild.py.
print("Running jitrollingbuild.py download to get baseline JIT")
jit_rolling_build_script = os.path.join(superpmi_scripts_directory, "jitrollingbuild.py")
_, _, return_code = run_command([
python_path,
jit_rolling_build_script,
"download",
"-arch", arch,
"-target_dir", base_jit_directory],
source_directory)
if return_code != 0:
print('{} failed with {}'.format(jit_rolling_build_script, return_code))
return return_code
######## Get diff JIT
print('Copying diff binaries {} -> {}'.format(product_directory, diff_jit_directory))
copy_directory(product_directory, diff_jit_directory, verbose_copy=True, match_func=match_jit_files)
######## Get SuperPMI tools
# Put the SuperPMI tools directly in the root of the correlation payload directory.
print('Copying SuperPMI tools {} -> {}'.format(product_directory, correlation_payload_directory))
copy_directory(product_directory, correlation_payload_directory, verbose_copy=True, match_func=match_superpmi_tool_files)
######## Clone and build jitutils: we only need jit-analyze
try:
with TempDir() as jitutils_directory:
run_command(
["git", "clone", "--quiet", "--depth", "1", "https://github.com/dotnet/jitutils", jitutils_directory])
# Make sure ".dotnet" directory exists, by running the script at least once
dotnet_script_name = "dotnet.cmd" if is_windows else "dotnet.sh"
dotnet_script_path = os.path.join(source_directory, dotnet_script_name)
run_command([dotnet_script_path, "--info"], jitutils_directory)
# Build jit-analyze only, and build it as a self-contained app (not framework-dependent).
# What target RID are we building? It depends on where we're going to run this code.
# The RID catalog is here: https://docs.microsoft.com/en-us/dotnet/core/rid-catalog.
# Windows x64 => win-x64
# Windows x86 => win-x86
# Windows arm32 => win-arm
# Windows arm64 => win-arm64
# Linux x64 => linux-x64
# Linux arm32 => linux-arm
# Linux arm64 => linux-arm64
# macOS x64 => osx-x64
# NOTE: we currently only support running on Windows x86/x64 (we don't pass the target OS)
RID = None
if arch == "x86":
RID = "win-x86"
if arch == "x64":
RID = "win-x64"
# Set dotnet path to run build
os.environ["PATH"] = os.path.join(source_directory, ".dotnet") + os.pathsep + os.environ["PATH"]
run_command([
"dotnet",
"publish",
"-c", "Release",
"--runtime", RID,
"--self-contained",
"--output", jit_analyze_build_directory,
os.path.join(jitutils_directory, "src", "jit-analyze", "jit-analyze.csproj")],
jitutils_directory)
except PermissionError as pe_error:
# Details: https://bugs.python.org/issue26660
print('Ignoring PermissionError: {0}'.format(pe_error))
jit_analyze_tool = os.path.join(jit_analyze_build_directory, "jit-analyze.exe")
if not os.path.isfile(jit_analyze_tool):
print('Error: {} not found'.format(jit_analyze_tool))
return 1
######## Set pipeline variables
helix_source_prefix = "official"
creator = ""
print('Setting pipeline variables:')
set_pipeline_variable("CorrelationPayloadDirectory", correlation_payload_directory)
set_pipeline_variable("Architecture", arch)
set_pipeline_variable("Creator", creator)
set_pipeline_variable("HelixSourcePrefix", helix_source_prefix)
return 0
def main(main_args):
"""Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
fuzzlyn_directory = coreclr_args.fuzzlyn_directory
core_root = coreclr_args.core_root
tag_name = "{}-{}".format(coreclr_args.run_configuration,
coreclr_args.partition)
output_directory = coreclr_args.output_directory
if not coreclr_args.run_duration:
run_duration = 60 * 60 # 60 minutes by default
else:
run_duration = int(
coreclr_args.run_duration) * 60 # Run for duration in seconds
path_to_corerun = os.path.join(core_root, "corerun")
path_to_tool = os.path.join(fuzzlyn_directory, "Fuzzlyn")
if is_windows:
path_to_corerun += ".exe"
path_to_tool += ".exe"
os.makedirs(output_directory, exist_ok=True)
with TempDir() as temp_location:
summary_file_name = "issues-summary-{}.txt".format(tag_name)
summary_file_path = path.join(temp_location, summary_file_name)
with open(summary_file_path, 'w'):
pass
upload_fuzzer_output_path = path.join(
output_directory, "Fuzzlyn-{}.log".format(tag_name))
with open(summary_file_path, 'r') as fp:
exit_evt = threading.Event()
reduce_examples = ReduceExamples(fp, temp_location, path_to_tool,
path_to_corerun, exit_evt)
reduce_examples.start()
run_command([
path_to_tool, "--seconds-to-run",
str(run_duration), "--output-events-to", summary_file_path,
"--host", path_to_corerun, "--parallelism", "-1"
],
_exit_on_fail=True,
_output_file=upload_fuzzer_output_path)
exit_evt.set()
reduce_examples.join()
upload_summary_file_path = path.join(output_directory,
summary_file_name)
print("Copying summary: {} -> {}".format(summary_file_path,
upload_summary_file_path))
shutil.copy2(summary_file_path, upload_summary_file_path)
upload_issues_zip_path = path.join(output_directory,
"AllIssues-{}".format(tag_name))
print("Creating zip {}.zip".format(upload_issues_zip_path))
shutil.make_archive(upload_issues_zip_path, 'zip', temp_location)
def main(main_args):
"""Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
arch_name = coreclr_args.arch
os_name = "win" if coreclr_args.platform.lower() == "windows" else "linux"
run_configuration = "{}-{}".format(os_name, arch_name)
source_directory = coreclr_args.source_directory
# CorrelationPayload directories
correlation_payload_directory = path.join(coreclr_args.source_directory,
"payload")
scripts_src_directory = path.join(source_directory, "src", "coreclr",
'scripts')
coreroot_directory = path.join(correlation_payload_directory, "CoreRoot")
dst_directory = path.join(correlation_payload_directory, "exploratory")
helix_source_prefix = "official"
creator = ""
repo_urls = {
"Antigen": "https://github.com/kunalspathak/Antigen.git",
"Fuzzlyn": "https://github.com/jakobbotsch/Fuzzlyn.git",
}
# tool_name is verifed in setup_args
assert coreclr_args.tool_name in repo_urls
repo_url = repo_urls[coreclr_args.tool_name]
# create exploratory directory
print('Copying {} -> {}'.format(scripts_src_directory, coreroot_directory))
copy_directory(scripts_src_directory,
coreroot_directory,
verbose_output=True,
match_func=lambda path: any(
path.endswith(extension) for extension in [".py"]))
if is_windows:
acceptable_copy = lambda path: any(
path.endswith(extension)
for extension in [".py", ".dll", ".exe", ".json"])
else:
# Need to accept files without any extension, which is how executable file's names look.
acceptable_copy = lambda path: (os.path.basename(path).find(
".") == -1) or any(
path.endswith(extension)
for extension in [".py", ".dll", ".so", ".json", ".a"])
# copy CORE_ROOT
print('Copying {} -> {}'.format(coreclr_args.core_root_directory,
coreroot_directory))
copy_directory(coreclr_args.core_root_directory,
coreroot_directory,
verbose_output=True,
match_func=acceptable_copy)
try:
with TempDir() as tool_code_directory:
# clone the tool
run_command([
"git", "clone", "--quiet", "--depth", "1", repo_url,
tool_code_directory
])
publish_dir = path.join(tool_code_directory, "publish")
# build the tool
with ChangeDir(tool_code_directory):
dotnet_cmd = os.path.join(source_directory, "dotnet.cmd")
if not is_windows:
dotnet_cmd = os.path.join(source_directory, "dotnet.sh")
run_command([
dotnet_cmd, "publish", "-c", "Release", "--self-contained",
"-r", run_configuration, "-o", publish_dir
],
_exit_on_fail=True)
dll_name = coreclr_args.tool_name + ".dll"
if not os.path.exists(path.join(publish_dir, dll_name)):
raise FileNotFoundError("{} not present at {}".format(
dll_name, publish_dir))
# copy tool
print('Copying {} -> {}'.format(publish_dir, dst_directory))
copy_directory(publish_dir,
dst_directory,
verbose_output=True,
match_func=acceptable_copy)
except PermissionError as pe:
print("Skipping file. Got error: %s", pe)
# create foo.txt in work_item directories
workitem_directory = path.join(source_directory, "workitem")
os.mkdir(workitem_directory)
foo_txt = os.path.join(workitem_directory, "foo.txt")
with open(foo_txt, "w") as foo_txt_file:
foo_txt_file.write("hello world!")
# Set variables
print('Setting pipeline variables:')
set_pipeline_variable("CorrelationPayloadDirectory",
correlation_payload_directory)
set_pipeline_variable("WorkItemDirectory", workitem_directory)
set_pipeline_variable("RunConfiguration", run_configuration)
set_pipeline_variable("Creator", creator)
set_pipeline_variable("HelixSourcePrefix", helix_source_prefix)
def build_and_run(coreclr_args, output_mch_name):
"""Build the microbenchmarks and run them under "superpmi collect"
Args:
coreclr_args (CoreClrArguments): Arguments use to drive
output_mch_name (string): Name of output mch file name
"""
arch = coreclr_args.arch
python_path = sys.executable
core_root = coreclr_args.core_root
superpmi_directory = coreclr_args.superpmi_directory
performance_directory = coreclr_args.performance_directory
log_file = coreclr_args.log_file
partition_count = coreclr_args.partition_count
partition_index = coreclr_args.partition_index
dotnet_directory = os.path.join(performance_directory, "tools", "dotnet", arch)
dotnet_exe = os.path.join(dotnet_directory, "dotnet")
artifacts_directory = os.path.join(performance_directory, "artifacts")
artifacts_packages_directory = os.path.join(artifacts_directory, "packages")
project_file = path.join(performance_directory, "src", "benchmarks", "micro", "MicroBenchmarks.csproj")
benchmarks_dll = path.join(artifacts_directory, "MicroBenchmarks.dll")
# Workaround https://github.com/dotnet/sdk/issues/23430
project_file = realpath(project_file)
if is_windows:
shim_name = "%JitName%"
corerun_exe = "CoreRun.exe"
script_name = "run_microbenchmarks.bat"
else:
shim_name = "$JitName"
corerun_exe = "corerun"
script_name = "run_microbenchmarks.sh"
make_executable(dotnet_exe)
run_command(
[dotnet_exe, "restore", project_file, "--packages",
artifacts_packages_directory], _exit_on_fail=True)
run_command(
[dotnet_exe, "build", project_file, "--configuration", "Release",
"--framework", "net7.0", "--no-restore", "/p:NuGetPackageRoot=" + artifacts_packages_directory,
"-o", artifacts_directory], _exit_on_fail=True)
# Disable ReadyToRun so we always JIT R2R methods and collect them
collection_command = f"{dotnet_exe} {benchmarks_dll} --filter \"*\" --corerun {path.join(core_root, corerun_exe)} --partition-count {partition_count} " \
f"--partition-index {partition_index} --envVars COMPlus_JitName:{shim_name} " \
" COMPlus_ZapDisable:1 COMPlus_ReadyToRun:0 " \
"--iterationCount 1 --warmupCount 0 --invocationCount 1 --unrollFactor 1 --strategy ColdStart"
# Generate the execution script in Temp location
with TempDir() as temp_location:
script_name = path.join(temp_location, script_name)
contents = []
# Unset the JitName so dotnet process will not fail
if is_windows:
contents.append("set JitName=%COMPlus_JitName%")
contents.append("set COMPlus_JitName=")
else:
contents.append("#!/bin/bash")
contents.append("export JitName=$COMPlus_JitName")
contents.append("unset COMPlus_JitName")
contents.append(f"pushd {performance_directory}")
contents.append(collection_command)
with open(script_name, "w") as collection_script:
collection_script.write(os.linesep.join(contents))
print()
print(f"{script_name} contents:")
print("******************************************")
print(os.linesep.join(contents))
print("******************************************")
make_executable(script_name)
run_command([
python_path, path.join(superpmi_directory, "superpmi.py"), "collect", "-core_root", core_root,
"-output_mch_path", output_mch_name, "-log_file", log_file, "-log_level", "debug",
script_name], _exit_on_fail=True)
def build_and_run(coreclr_args, output_mch_name):
"""Build the microbenchmarks and run them under "superpmi collect"
Args:
coreclr_args (CoreClrArguments): Arguments use to drive
output_mch_name (string): Name of output mch file name
"""
arch = coreclr_args.arch
python_path = sys.executable
core_root = coreclr_args.core_root
superpmi_directory = coreclr_args.superpmi_directory
performance_directory = coreclr_args.performance_directory
log_file = coreclr_args.log_file
partition_count = coreclr_args.partition_count
partition_index = coreclr_args.partition_index
dotnet_directory = os.path.join(performance_directory, "tools", "dotnet",
arch)
dotnet_exe = os.path.join(dotnet_directory, "dotnet")
artifacts_directory = os.path.join(performance_directory, "artifacts")
artifacts_packages_directory = os.path.join(artifacts_directory,
"packages")
project_file = os.path.join(performance_directory, "src", "benchmarks",
"micro", "MicroBenchmarks.csproj")
benchmarks_dll = os.path.join(artifacts_directory, "MicroBenchmarks.dll")
# Workaround https://github.com/dotnet/sdk/issues/23430
project_file = os.path.realpath(project_file)
if is_windows:
shim_name = "%JitName%"
corerun_exe = "CoreRun.exe"
script_name = "run_microbenchmarks.bat"
else:
shim_name = "$JitName"
corerun_exe = "corerun"
script_name = "run_microbenchmarks.sh"
make_executable(dotnet_exe)
# Start with a "dotnet --info" to see what we've got.
run_command([dotnet_exe, "--info"])
env_copy = os.environ.copy()
if is_windows:
# Try to work around problem with random NuGet failures in "dotnet restore":
# error NU3037: Package 'System.Runtime 4.1.0' from source 'https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-public/nuget/v3/index.json':
# The repository primary signature validity period has expired. [C:\h\w\A3B008C0\w\B581097F\u\performance\src\benchmarks\micro\MicroBenchmarks.csproj]
# Using environment variable specified in https://github.com/NuGet/NuGet.Client/pull/4259.
env_copy["NUGET_EXPERIMENTAL_CHAIN_BUILD_RETRY_POLICY"] = "9,2000"
# If `dotnet restore` fails, retry.
num_tries = 3
for try_num in range(num_tries):
# On the last try, exit on fail
exit_on_fail = try_num + 1 == num_tries
(_, _, return_code) = run_command([
dotnet_exe, "restore", project_file, "--packages",
artifacts_packages_directory
],
_exit_on_fail=exit_on_fail,
_env=env_copy)
if return_code == 0:
# It succeeded!
break
print("Try {} of {} failed with error code {}: trying again".format(
try_num + 1, num_tries, return_code))
# Sleep 5 seconds before trying again
time.sleep(5)
run_command([
dotnet_exe, "build", project_file, "--configuration", "Release",
"--framework", "net7.0", "--no-restore", "/p:NuGetPackageRoot=" +
artifacts_packages_directory, "-o", artifacts_directory
],
_exit_on_fail=True)
# Disable ReadyToRun so we always JIT R2R methods and collect them
collection_command = f"{dotnet_exe} {benchmarks_dll} --filter \"*\" --corerun {os.path.join(core_root, corerun_exe)} --partition-count {partition_count} " \
f"--partition-index {partition_index} --envVars COMPlus_JitName:{shim_name} " \
" COMPlus_ZapDisable:1 COMPlus_ReadyToRun:0 " \
"--iterationCount 1 --warmupCount 0 --invocationCount 1 --unrollFactor 1 --strategy ColdStart"
# Generate the execution script in Temp location
with TempDir() as temp_location:
script_name = os.path.join(temp_location, script_name)
contents = []
# Unset the JitName so dotnet process will not fail
if is_windows:
contents.append("set JitName=%COMPlus_JitName%")
contents.append("set COMPlus_JitName=")
else:
contents.append("#!/bin/bash")
contents.append("export JitName=$COMPlus_JitName")
contents.append("unset COMPlus_JitName")
contents.append(f"pushd {performance_directory}")
contents.append(collection_command)
with open(script_name, "w") as collection_script:
collection_script.write(os.linesep.join(contents))
print()
print(f"{script_name} contents:")
print("******************************************")
print(os.linesep.join(contents))
print("******************************************")
make_executable(script_name)
run_command([
python_path,
os.path.join(superpmi_directory, "superpmi.py"), "collect",
"-core_root", core_root, "-output_mch_path", output_mch_name,
"-log_file", log_file, "-log_level", "debug", script_name
],
_exit_on_fail=True)
def copy_issues(issues_directory, upload_directory, tag_name):
"""Copies issue files (only top 5 smallest files from each folder) into the upload_directory
Args:
issues_directory (string): Issues directory
upload_directory (string): Upload directory
tag_name (string): Tag name for zip file
Returns:
[type]: [description]
"""
# Create upload_directory
if not os.path.isdir(upload_directory):
os.makedirs(upload_directory)
# Create temp directory to copy all issues to upload. We don't want to create a sub-folder
# inside issues_directory because that will also get included twice.
with TempDir() as prep_directory:
def sorter_by_size(pair):
""" Sorts the pair (file_name, file_size) tuple in ascending order of file_size
Args:
pair ([(string, int)]): List of tuple of file_name, file_size
"""
pair.sort(key=lambda x: x[1], reverse=False)
return pair
summary_of_summary = []
for file_path, dirs, files in walk(issues_directory, topdown=True):
filename_with_size = []
# Credit: https://stackoverflow.com/a/19859907
dirs[:] = [d for d in dirs]
for name in files:
if not name.lower().endswith(".g.cs"):
continue
curr_file_path = path.join(file_path, name)
size = getsize(curr_file_path)
filename_with_size.append((curr_file_path, size))
if len(filename_with_size) == 0:
continue
summary_file = path.join(file_path, "summary.txt")
summary_of_summary.append("**** " + file_path)
with open(summary_file, 'r') as sf:
summary_of_summary.append(sf.read())
filename_with_size.append(
(summary_file, 0)) # always copy summary.txt
# Copy atmost 5 files from each bucket
sorted_files = [
f[0] for f in sorter_by_size(filename_with_size)[:6]
] # sorter_by_size(filename_with_size)[:6]
print('### Copying below files from {0} to {1}:'.format(
issues_directory, prep_directory))
print('')
print(os.linesep.join(sorted_files))
for src_file in sorted_files:
dst_file = src_file.replace(issues_directory, prep_directory)
dst_directory = path.dirname(dst_file)
if not os.path.exists(dst_directory):
os.makedirs(dst_directory)
try:
shutil.copy2(src_file, dst_file)
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
issues_summary_file_name = "issues-summary-{}.txt".format(tag_name)
print("Creating {} in {}".format(issues_summary_file_name,
upload_directory))
issues_summary_file = os.path.join(upload_directory,
issues_summary_file_name)
with open(issues_summary_file, 'w') as sf:
sf.write(os.linesep.join(summary_of_summary))
# Also copy the issues-summary inside zip folder
dst_issue_summary_file = os.path.join(prep_directory,
issues_summary_file_name)
try:
shutil.copy2(issues_summary_file, dst_issue_summary_file)
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
# Zip compress the files we will upload
zip_path = os.path.join(prep_directory, "AllIssues-" + tag_name)
print("Creating archive: " + zip_path)
shutil.make_archive(zip_path, 'zip', prep_directory)
zip_path += ".zip"
dst_zip_path = os.path.join(upload_directory,
"AllIssues-" + tag_name + ".zip")
print("Copying {} to {}".format(zip_path, dst_zip_path))
try:
shutil.copy2(zip_path, dst_zip_path)
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
src_antigen_log = os.path.join(issues_directory,
get_antigen_filename(tag_name))
dst_antigen_log = os.path.join(upload_directory,
get_antigen_filename(tag_name))
print("Copying {} to {}".format(src_antigen_log, dst_antigen_log))
try:
shutil.copy2(src_antigen_log, dst_antigen_log)
except PermissionError as pe_error:
print('Ignoring PermissionError: {0}'.format(pe_error))
def main(main_args):
""" Main entrypoint
Args:
main_args ([type]): Arguments to the script
"""
coreclr_args = setup_args(main_args)
source_directory = coreclr_args.source_directory
# CorrelationPayload directories
correlation_payload_directory = os.path.join(coreclr_args.source_directory,
"payload")
superpmi_src_directory = os.path.join(source_directory, 'src', 'coreclr',
'scripts')
superpmi_dst_directory = os.path.join(correlation_payload_directory,
"superpmi")
arch = coreclr_args.arch
helix_source_prefix = "official"
creator = ""
ci = True
if is_windows:
helix_queue = "Windows.10.Arm64" if arch == "arm64" else "Windows.10.Amd64.X86.Rt"
else:
if arch == "arm":
helix_queue = "(Ubuntu.1804.Arm32)[email protected]/dotnet-buildtools/prereqs:ubuntu-18.04-helix-arm32v7-bfcd90a-20200121150440"
elif arch == "arm64":
helix_queue = "(Ubuntu.1804.Arm64)[email protected]/dotnet-buildtools/prereqs:ubuntu-18.04-helix-arm64v8-20210531091519-97d8652"
else:
helix_queue = "Ubuntu.1804.Amd64"
# create superpmi directory
print('Copying {} -> {}'.format(superpmi_src_directory,
superpmi_dst_directory))
copy_directory(superpmi_src_directory,
superpmi_dst_directory,
verbose_output=True,
match_func=lambda path: any(
path.endswith(extension) for extension in [".py"]))
if is_windows:
acceptable_copy = lambda path: any(
path.endswith(extension)
for extension in [".py", ".dll", ".exe", ".json"])
else:
# Need to accept files without any extension, which is how executable file's names look.
acceptable_copy = lambda path: (os.path.basename(path).find(
".") == -1) or any(
path.endswith(extension)
for extension in [".py", ".dll", ".so", ".json"])
print('Copying {} -> {}'.format(coreclr_args.core_root_directory,
superpmi_dst_directory))
copy_directory(coreclr_args.core_root_directory,
superpmi_dst_directory,
verbose_output=True,
match_func=acceptable_copy)
# Copy all the test files to CORE_ROOT
# The reason is there are lot of dependencies with *.Tests.dll and to ensure we do not get
# Reflection errors, just copy everything to CORE_ROOT so for all individual partitions, the
# references will be present in CORE_ROOT.
if coreclr_args.collection_name == "libraries_tests":
print('Copying {} -> {}'.format(coreclr_args.input_directory,
superpmi_dst_directory))
def make_readable(folder_name):
"""Make file executable by changing the permission
Args:
folder_name (string): folder to mark with 744
"""
if is_windows:
return
print("Inside make_readable")
run_command(["ls", "-l", folder_name])
for file_path, dirs, files in os.walk(folder_name, topdown=True):
for d in dirs:
os.chmod(
os.path.join(file_path, d),
# read+write+execute for owner
(stat.S_IRUSR | stat.S_IWUSR | stat.S_IXUSR) |
# read for group
(stat.S_IRGRP) |
# read for other
(stat.S_IROTH))
for f in files:
os.chmod(
os.path.join(file_path, f),
# read+write+execute for owner
(stat.S_IRUSR | stat.S_IWUSR | stat.S_IXUSR) |
# read for group
(stat.S_IRGRP) |
# read for other
(stat.S_IROTH))
run_command(["ls", "-l", folder_name])
make_readable(coreclr_args.input_directory)
copy_directory(coreclr_args.input_directory,
superpmi_dst_directory,
verbose_output=True,
match_func=acceptable_copy)
# Workitem directories
workitem_directory = os.path.join(source_directory, "workitem")
input_artifacts = ""
if coreclr_args.collection_name == "benchmarks":
# Setup microbenchmarks
setup_microbenchmark(workitem_directory, arch)
else:
# Setup for pmi/crossgen runs
# Clone and build jitutils
try:
with TempDir() as jitutils_directory:
run_command([
"git", "clone", "--quiet", "--depth", "1",
"https://github.com/dotnet/jitutils", jitutils_directory
])
# Make sure ".dotnet" directory exists, by running the script at least once
dotnet_script_name = "dotnet.cmd" if is_windows else "dotnet.sh"
dotnet_script_path = os.path.join(source_directory,
dotnet_script_name)
run_command([dotnet_script_path, "--info"], jitutils_directory)
# Set dotnet path to run build
os.environ["PATH"] = os.path.join(
source_directory,
".dotnet") + os.pathsep + os.environ["PATH"]
build_file = "build.cmd" if is_windows else "build.sh"
run_command(
[os.path.join(jitutils_directory, build_file), "-p"],
jitutils_directory)
copy_files(
os.path.join(jitutils_directory,
"bin"), superpmi_dst_directory,
[os.path.join(jitutils_directory, "bin", "pmi.dll")])
except PermissionError as pe_error:
# Details: https://bugs.python.org/issue26660
print('Ignoring PermissionError: {0}'.format(pe_error))
# NOTE: we can't use the build machine ".dotnet" to run on all platforms. E.g., the Windows x86 build uses a
# Windows x64 .dotnet\dotnet.exe that can't load a 32-bit shim. Thus, we always use corerun from Core_Root to invoke crossgen2.
# The following will copy .dotnet to the correlation payload in case we change our mind, and need or want to use it for some scenarios.
# # Copy ".dotnet" to correlation_payload_directory for crossgen2 job; it is needed to invoke crossgen2.dll
# if coreclr_args.collection_type == "crossgen2":
# dotnet_src_directory = os.path.join(source_directory, ".dotnet")
# dotnet_dst_directory = os.path.join(correlation_payload_directory, ".dotnet")
# print('Copying {} -> {}'.format(dotnet_src_directory, dotnet_dst_directory))
# copy_directory(dotnet_src_directory, dotnet_dst_directory, verbose_output=False)
# payload
pmiassemblies_directory = os.path.join(workitem_directory,
"pmiAssembliesDirectory")
input_artifacts = os.path.join(pmiassemblies_directory,
coreclr_args.collection_name)
exclude_directory = [
'Core_Root'
] if coreclr_args.collection_name == "coreclr_tests" else []
exclude_files = native_binaries_to_ignore
if coreclr_args.collection_type == "crossgen2":
print('Adding exclusions for crossgen2')
# Currently, trying to crossgen2 R2RTest\Microsoft.Build.dll causes a pop-up failure, so exclude it.
exclude_files += ["Microsoft.Build.dll"]
if coreclr_args.collection_name == "libraries_tests":
# libraries_tests artifacts contains files from core_root folder. Exclude them.
core_root_dir = coreclr_args.core_root_directory
exclude_files += [
item for item in os.listdir(core_root_dir)
if os.path.isfile(os.path.join(core_root_dir, item)) and (
item.endswith(".dll") or item.endswith(".exe"))
]
partition_files(coreclr_args.input_directory, input_artifacts,
coreclr_args.max_size, exclude_directory,
exclude_files)
# Set variables
print('Setting pipeline variables:')
set_pipeline_variable("CorrelationPayloadDirectory",
correlation_payload_directory)
set_pipeline_variable("WorkItemDirectory", workitem_directory)
set_pipeline_variable("InputArtifacts", input_artifacts)
set_pipeline_variable("Python", ' '.join(get_python_name()))
set_pipeline_variable("Architecture", arch)
set_pipeline_variable("Creator", creator)
set_pipeline_variable("Queue", helix_queue)
set_pipeline_variable("HelixSourcePrefix", helix_source_prefix)
set_pipeline_variable("MchFileTag", coreclr_args.mch_file_tag)
