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onnxruntime/tools/ci_build/build.py
Thiago Crepaldi 867804bea1
Add auto doc gen for ORTModule API during CI build (#7046) 
In addition to ORTModule auto documentation during packaging, this PR also update golden numbers to fix CI
2021-03-22 10:20:33 -07:00

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87 KiB
Python
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#!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import argparse
import contextlib
import glob
import os
import re
import shutil
import subprocess
import sys
import hashlib
import platform
from amd_hipify import amd_hipify
from distutils.version import LooseVersion
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
REPO_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, "..", ".."))
sys.path.insert(0, os.path.join(REPO_DIR, "tools", "python"))
from util import ( # noqa: E402
run,
is_windows, is_macOS, is_linux,
get_logger)
import util.android as android # noqa: E402
log = get_logger("build")
class BaseError(Exception):
"""Base class for errors originating from build.py."""
pass
class BuildError(BaseError):
"""Error from running build steps."""
def __init__(self, *messages):
super().__init__("\n".join(messages))
class UsageError(BaseError):
"""Usage related error."""
def __init__(self, message):
super().__init__(message)
def _check_python_version():
# According to the BUILD.md, python 3.5+ is required:
# Python 2 is definitely not supported and it should be safer to consider
# it won't run with python 4:
if sys.version_info[0] != 3:
raise BuildError(
"Bad python major version: expecting python 3, found version "
"'{}'".format(sys.version))
if sys.version_info[1] < 6:
raise BuildError(
"Bad python minor version: expecting python 3.6+, found version "
"'{}'".format(sys.version))
def _str_to_bool(s):
"""Convert string to bool (in argparse context)."""
if s.lower() not in ['true', 'false']:
raise ValueError('Need bool; got %r' % s)
return {'true': True, 'false': False}[s.lower()]
_check_python_version()
def _openvino_verify_device_type(device_read):
choices = ["CPU_FP32", "GPU_FP32", "GPU_FP16", "VAD-M_FP16", "MYRIAD_FP16", "VAD-F_FP32"]
status_hetero = True
res = False
if (device_read in choices):
res = True
elif (device_read.startswith("HETERO:") or device_read.startswith("MULTI:")):
res = True
comma_separated_devices = device_read.split(":")
comma_separated_devices = comma_separated_devices[1].split(',')
if (len(comma_separated_devices) < 2):
print("At least two devices required in Hetero Mode")
status_hetero = False
dev_options = ["CPU", "GPU", "MYRIAD", "FPGA", "HDDL"]
for dev in comma_separated_devices:
if (dev not in dev_options):
status_hetero = False
break
def invalid_hetero_build():
print("\n" + "If trying to build Hetero or Multi, specifiy the supported devices along with it." + + "\n")
print("specify the keyword HETERO or MULTI followed by the devices ")
print("in the order of priority you want to build" + "\n")
print("The different hardware devices that can be added in HETERO or MULTI")
print("are ['CPU','GPU','MYRIAD','FPGA','HDDL']" + "\n")
print("An example of how to specify the hetero build type. Ex: HETERO:GPU,CPU" + "\n")
print("An example of how to specify the MULTI build type. Ex: MULTI:MYRIAD,CPU" + "\n")
sys.exit("Wrong Build Type selected")
if (res is False):
print("\n" + "You have selcted wrong configuration for the build.")
print("pick the build type for specific Hardware Device from following options: ", choices)
print("\n")
if not (device_read.startswith("HETERO:") or device_read.startswith("MULTI:")):
invalid_hetero_build()
sys.exit("Wrong Build Type selected")
if (status_hetero is False):
invalid_hetero_build()
return device_read
def parse_arguments():
parser = argparse.ArgumentParser(
description="ONNXRuntime CI build driver.",
usage=""" # noqa
Default behavior is --update --build --test for native architecture builds.
Default behavior is --update --build for cross-compiled builds.
The Update phase will update git submodules, and run cmake to generate makefiles.
The Build phase will build all projects.
The Test phase will run all unit tests, and optionally the ONNX tests.
Use the individual flags to only run the specified stages.
""")
# Main arguments
parser.add_argument(
"--build_dir", required=True, help="Path to the build directory.")
parser.add_argument(
"--config", nargs="+", default=["Debug"],
choices=["Debug", "MinSizeRel", "Release", "RelWithDebInfo"],
help="Configuration(s) to build.")
parser.add_argument(
"--update", action='store_true', help="Update makefiles.")
parser.add_argument("--build", action='store_true', help="Build.")
parser.add_argument(
"--clean", action='store_true',
help="Run 'cmake --build --target clean' for the selected config/s.")
parser.add_argument(
"--parallel", nargs='?', const='0', default='1', type=int,
help="Use parallel build. The optional value specifies the maximum number of parallel jobs. "
"If the optional value is 0 or unspecified, it is interpreted as the number of CPUs.")
parser.add_argument("--test", action='store_true', help="Run unit tests.")
parser.add_argument(
"--skip_tests", action='store_true', help="Skip all tests.")
# Training options
parser.add_argument(
"--enable_nvtx_profile", action='store_true', help="Enable NVTX profile in ORT.")
parser.add_argument(
"--enable_memory_profile", action='store_true', help="Enable memory profile in ORT.")
parser.add_argument(
"--enable_training", action='store_true', help="Enable training in ORT.")
parser.add_argument(
"--enable_training_ops", action='store_true', help="Enable training ops in inference graph.")
parser.add_argument(
"--disable_nccl", action='store_true', help="Disable Nccl.")
parser.add_argument(
"--mpi_home", help="Path to MPI installation dir")
parser.add_argument(
"--nccl_home", help="Path to NCCL installation dir")
parser.add_argument(
"--use_mpi", nargs='?', default=True, const=True, type=_str_to_bool)
# enable ONNX tests
parser.add_argument(
"--enable_onnx_tests", action='store_true',
help="""When running the Test phase, run onnx_test_running against
available test data directories.""")
parser.add_argument("--path_to_protoc_exe", help="Path to protoc exe.")
parser.add_argument(
"--fuzz_testing", action='store_true', help="Enable Fuzz testing of the onnxruntime.")
parser.add_argument(
"--enable_symbolic_shape_infer_tests", action='store_true',
help="""When running the Test phase, run symbolic shape inference against
available test data directories.""")
# generate documentation
parser.add_argument(
"--gen_doc", action='store_true',
help="Generate documentation on contrib ops")
parser.add_argument(
"--gen-api-doc", action='store_true',
help="Generate API documentation for PyTorch frontend")
# CUDA related
parser.add_argument("--use_cuda", action='store_true', help="Enable CUDA.")
parser.add_argument(
"--cuda_version", help="The version of CUDA toolkit to use. "
"Auto-detect if not specified. e.g. 9.0")
parser.add_argument(
"--cuda_home", help="Path to CUDA home."
"Read from CUDA_HOME environment variable if --use_cuda is true and "
"--cuda_home is not specified.")
parser.add_argument(
"--cudnn_home", help="Path to CUDNN home. "
"Read from CUDNN_HOME environment variable if --use_cuda is true and "
"--cudnn_home is not specified.")
parser.add_argument(
"--enable_cuda_line_info", action='store_true', help="Enable CUDA line info.")
# Python bindings
parser.add_argument(
"--enable_pybind", action='store_true', help="Enable Python Bindings.")
parser.add_argument(
"--build_wheel", action='store_true', help="Build Python Wheel.")
parser.add_argument(
"--wheel_name_suffix", help="Suffix to append to created wheel names. "
"This value is currently only used for nightly builds.")
parser.add_argument(
"--numpy_version", help="Installs a specific version of numpy "
"before building the python binding.")
parser.add_argument(
"--skip-keras-test", action='store_true',
help="Skip tests with Keras if keras is installed")
# C-Sharp bindings
parser.add_argument(
"--build_csharp", action='store_true',
help="Build C#.Net DLL and NuGet package. This should be only used in CI pipelines. "
"For building C# bindings and packaging them into nuget package use --build_nuget arg.")
parser.add_argument(
"--build_nuget", action='store_true',
help="Build C#.Net DLL and NuGet package on the local machine. "
"Currently only Windows and Linux platforms are supported.")
# Java bindings
parser.add_argument(
"--build_java", action='store_true', help="Build Java bindings.")
# Node.js binding
parser.add_argument(
"--build_nodejs", action='store_true',
help="Build Node.js binding and NPM package.")
# Build a shared lib
parser.add_argument(
"--build_shared_lib", action='store_true',
help="Build a shared library for the ONNXRuntime.")
# Build options
parser.add_argument(
"--cmake_extra_defines", nargs="+",
help="Extra definitions to pass to CMake during build system "
"generation. These are just CMake -D options without the leading -D.")
parser.add_argument(
"--target",
help="Build a specific target, e.g. winml_dll")
parser.add_argument(
"--x86", action='store_true',
help="Create x86 makefiles. Requires --update and no existing cache "
"CMake setup. Delete CMakeCache.txt if needed")
parser.add_argument(
"--arm", action='store_true',
help="Create ARM makefiles. Requires --update and no existing cache "
"CMake setup. Delete CMakeCache.txt if needed")
parser.add_argument(
"--arm64", action='store_true',
help="Create ARM64 makefiles. Requires --update and no existing cache "
"CMake setup. Delete CMakeCache.txt if needed")
parser.add_argument(
"--msvc_toolset", help="MSVC toolset to use. e.g. 14.11")
parser.add_argument("--android", action='store_true', help='Build for Android')
parser.add_argument(
"--android_abi", default="arm64-v8a",
choices=["armeabi-v7a", "arm64-v8a", "x86", "x86_64"],
help="Specify the target Android Application Binary Interface (ABI)")
parser.add_argument("--android_api", type=int, default=27, help='Android API Level, e.g. 21')
parser.add_argument("--android_sdk_path", type=str, help='Path to the Android SDK')
parser.add_argument("--android_ndk_path", default="", help="Path to the Android NDK")
parser.add_argument("--android_cpp_shared", action="store_true",
help="Build with shared libc++ instead of the default static libc++.")
parser.add_argument("--android_run_emulator", action="store_true",
help="Start up an Android emulator if needed.")
parser.add_argument("--ios", action='store_true', help="build for ios")
parser.add_argument(
"--ios_sysroot", default="",
help="Specify the location name of the macOS platform SDK to be used")
parser.add_argument(
"--ios_toolchain_dir", default="",
help="Path to ios toolchain binaries")
parser.add_argument(
"--ios_toolchain_file", default="",
help="Path to ios toolchain file, "
"or cmake/onnxruntime_ios.toolchain.cmake will be used")
parser.add_argument(
"--xcode_code_signing_team_id", default="",
help="The development team ID used for code signing in Xcode")
parser.add_argument(
"--use_xcode", action='store_true',
help="Use Xcode as cmake generator, this is only supported on MacOS.")
parser.add_argument(
"--osx_arch",
default="arm64" if platform.machine() == "arm64" else "x86_64",
choices=["arm64", "x86_64"],
help="Specify the Target specific architectures for macOS and iOS, This is only supported on MacOS")
parser.add_argument(
"--apple_deploy_target", type=str,
help="Specify the minimum version of the target platform "
"(e.g. macOS or iOS)"
"This is only supported on MacOS")
# Arguments needed by CI
parser.add_argument(
"--cmake_path", default="cmake", help="Path to the CMake program.")
parser.add_argument(
"--ctest_path", default="ctest", help="Path to the CTest program.")
parser.add_argument(
"--skip_submodule_sync", action='store_true', help="Don't do a "
"'git submodule update'. Makes the Update phase faster.")
parser.add_argument(
"--use_vstest", action='store_true',
help="Use use_vstest for running unitests.")
parser.add_argument(
"--use_mimalloc", default=['none'],
choices=['none', 'stl', 'arena', 'all'], help="Use mimalloc.")
parser.add_argument(
"--use_dnnl", action='store_true', help="Build with DNNL.")
parser.add_argument(
"--dnnl_gpu_runtime", action='store', default='', type=str.lower,
help="e.g. --dnnl_gpu_runtime ocl")
parser.add_argument(
"--dnnl_opencl_root", action='store', default='',
help="Path to OpenCL SDK. "
"e.g. --dnnl_opencl_root \"C:/Program Files (x86)/IntelSWTools/sw_dev_tools/OpenCL/sdk\"")
parser.add_argument(
"--use_featurizers", action='store_true',
help="Build with ML Featurizer support.")
parser.add_argument(
"--use_openvino", nargs="?", const="CPU_FP32",
type=_openvino_verify_device_type,
help="Build with OpenVINO for specific hardware.")
parser.add_argument(
"--use_coreml", action='store_true', help="Build with CoreML support.")
parser.add_argument(
"--use_nnapi", action='store_true', help="Build with NNAPI support.")
parser.add_argument(
"--nnapi_min_api", type=int,
help="Minimum Android API level to enable NNAPI, should be no less than 27")
parser.add_argument(
"--use_rknpu", action='store_true', help="Build with RKNPU.")
parser.add_argument(
"--use_preinstalled_eigen", action='store_true',
help="Use pre-installed Eigen.")
parser.add_argument("--eigen_path", help="Path to pre-installed Eigen.")
parser.add_argument(
"--use_openmp", action='store_true', help="Build with OpenMP")
parser.add_argument(
"--enable_msinternal", action="store_true",
help="Enable for Microsoft internal builds only.")
parser.add_argument("--llvm_path", help="Path to llvm dir")
parser.add_argument(
"--use_vitisai", action='store_true', help="Build with Vitis-AI")
parser.add_argument(
"--use_nuphar", action='store_true', help="Build with nuphar")
parser.add_argument(
"--use_tensorrt", action='store_true', help="Build with TensorRT")
parser.add_argument(
"--tensorrt_home", help="Path to TensorRT installation dir")
parser.add_argument(
"--use_migraphx", action='store_true', help="Build with MIGraphX")
parser.add_argument(
"--migraphx_home", help="Path to MIGraphX installation dir")
parser.add_argument(
"--use_full_protobuf", action='store_true',
help="Use the full protobuf library")
parser.add_argument(
"--skip_onnx_tests", action='store_true', help="Explicitly disable "
"all onnx related tests. Note: Use --skip_tests to skip all tests.")
parser.add_argument(
"--skip_winml_tests", action='store_true',
help="Explicitly disable all WinML related tests")
parser.add_argument(
"--skip_nodejs_tests", action='store_true',
help="Explicitly disable all Node.js binding tests")
parser.add_argument(
"--enable_msvc_static_runtime", action='store_true',
help="Enable static linking of MSVC runtimes.")
parser.add_argument(
"--enable_language_interop_ops", action='store_true',
help="Enable operator implemented in language other than cpp")
parser.add_argument(
"--cmake_generator",
choices=['Visual Studio 15 2017', 'Visual Studio 16 2019', 'Ninja'],
default='Visual Studio 15 2017' if is_windows() else None,
help="Specify the generator that CMake invokes. "
"This is only supported on Windows")
parser.add_argument(
"--enable_multi_device_test", action='store_true',
help="Test with multi-device. Mostly used for multi-device GPU")
parser.add_argument(
"--use_dml", action='store_true', help="Build with DirectML.")
parser.add_argument(
"--use_winml", action='store_true', help="Build with WinML.")
parser.add_argument(
"--winml_root_namespace_override", type=str,
help="Specify the namespace that WinML builds into.")
parser.add_argument(
"--use_telemetry", action='store_true',
help="Only official builds can set this flag to enable telemetry.")
parser.add_argument(
"--enable_wcos", action='store_true',
help="Build for Windows Core OS.")
parser.add_argument(
"--enable_windows_store", action='store_true',
help="Build for Windows Store")
parser.add_argument(
"--enable_lto", action='store_true',
help="Enable Link Time Optimization")
parser.add_argument(
"--use_acl", nargs="?", const="ACL_1905",
choices=["ACL_1902", "ACL_1905", "ACL_1908", "ACL_2002"],
help="Build with ACL for ARM architectures.")
parser.add_argument(
"--acl_home", help="Path to ACL home dir")
parser.add_argument(
"--acl_libs", help="Path to ACL libraries")
parser.add_argument(
"--use_armnn", action='store_true',
help="Enable ArmNN Execution Provider.")
parser.add_argument(
"--armnn_relu", action='store_true',
help="Use the Relu operator implementation from the ArmNN EP.")
parser.add_argument(
"--armnn_bn", action='store_true',
help="Use the Batch Normalization operator implementation from the ArmNN EP.")
parser.add_argument(
"--armnn_home", help="Path to ArmNN home dir")
parser.add_argument(
"--armnn_libs", help="Path to ArmNN libraries")
parser.add_argument(
"--build_micro_benchmarks", action='store_true',
help="Build ONNXRuntime micro-benchmarks.")
# options to reduce binary size
parser.add_argument("--minimal_build", default=None, nargs='*', type=str.lower,
help="Create a build that only supports ORT format models. "
"See /docs/ONNX_Runtime_Format_Model_Usage.md for more information. "
"RTTI is automatically disabled in a minimal build. "
"To enable execution providers that compile kernels at runtime (e.g. NNAPI) pass 'extended' "
"as a parameter. e.g. '--minimal_build extended'. "
"To enable support for custom operators pass 'custom_ops' as a parameter. "
"e.g. '--minimal_build custom_ops'. This can be combined with an 'extended' build by passing "
"'--minimal_build extended custom_ops'")
parser.add_argument("--include_ops_by_config", type=str,
help="Include ops from config file. "
"See /docs/Reduced_Operator_Kernel_build.md for more information.")
parser.add_argument("--enable_reduced_operator_type_support", action='store_true',
help='If --include_ops_by_config is specified, and the configuration file has type reduction '
'information, limit the types individual operators support where possible to further '
'reduce the build size. '
'See /docs/Reduced_Operator_Kernel_build.md for more information.')
parser.add_argument("--disable_contrib_ops", action='store_true',
help="Disable contrib ops (reduces binary size)")
parser.add_argument("--disable_ml_ops", action='store_true',
help="Disable traditional ML ops (reduces binary size)")
parser.add_argument("--disable_rtti", action='store_true', help="Disable RTTI (reduces binary size)")
parser.add_argument("--disable_exceptions", action='store_true',
help="Disable exceptions to reduce binary size. Requires --minimal_build.")
parser.add_argument("--disable_ort_format_load", action='store_true',
help='Disable support for loading ORT format models in a non-minimal build.')
parser.add_argument("--use_rocm", action='store_true', help="Build with ROCm")
parser.add_argument("--rocm_home", help="Path to ROCm installation dir")
# Code coverage
parser.add_argument("--code_coverage", action='store_true',
help="Generate code coverage when targetting Android (only).")
parser.add_argument(
"--ms_experimental", action='store_true', help="Build microsoft experimental operators.")
return parser.parse_args()
def is_reduced_ops_build(args):
return args.include_ops_by_config is not None
def resolve_executable_path(command_or_path):
"""Returns the absolute path of an executable."""
executable_path = shutil.which(command_or_path)
if executable_path is None:
raise BuildError("Failed to resolve executable path for "
"'{}'.".format(command_or_path))
return os.path.abspath(executable_path)
def get_linux_distro():
try:
with open('/etc/os-release', 'r') as f:
dist_info = dict(
line.strip().split('=', 1) for line in f.readlines())
return dist_info.get('NAME', '').strip('"'), dist_info.get(
'VERSION', '').strip('"')
except (IOError, ValueError):
return '', ''
def is_ubuntu_1604():
dist, ver = get_linux_distro()
return dist == 'Ubuntu' and ver.startswith('16.04')
def get_config_build_dir(build_dir, config):
# build directory per configuration
return os.path.join(build_dir, config)
def run_subprocess(args, cwd=None, capture_stdout=False, dll_path=None,
shell=False, env={}):
if isinstance(args, str):
raise ValueError("args should be a sequence of strings, not a string")
my_env = os.environ.copy()
if dll_path:
if is_windows():
my_env["PATH"] = dll_path + os.pathsep + my_env["PATH"]
else:
if "LD_LIBRARY_PATH" in my_env:
my_env["LD_LIBRARY_PATH"] += os.pathsep + dll_path
else:
my_env["LD_LIBRARY_PATH"] = dll_path
my_env.update(env)
return run(*args, cwd=cwd, capture_stdout=capture_stdout, shell=shell, env=my_env)
def update_submodules(source_dir):
run_subprocess(["git", "submodule", "sync", "--recursive"], cwd=source_dir)
run_subprocess(["git", "submodule", "update", "--init", "--recursive"],
cwd=source_dir)
def is_docker():
path = '/proc/self/cgroup'
return (
os.path.exists('/.dockerenv') or
os.path.isfile(path) and any('docker' in line for line in open(path))
)
def install_python_deps(numpy_version=""):
dep_packages = ['setuptools', 'wheel', 'pytest']
dep_packages.append('numpy=={}'.format(numpy_version) if numpy_version
else 'numpy>=1.16.6')
dep_packages.append('sympy>=1.1')
dep_packages.append('packaging')
dep_packages.append('cerberus')
run_subprocess([sys.executable, '-m', 'pip', 'install', '--trusted-host',
'files.pythonhosted.org'] + dep_packages)
# We need to install Torch to test certain functionalities of the ORT Python package
def install_torch():
# Command works for both Windows
run_subprocess([sys.executable, '-m', 'pip', 'install', '--trusted-host',
'files.pythonhosted.org', 'torch===1.5.1+cu101', 'torchvision===0.6.1+cu101',
'-f', 'https://download.pytorch.org/whl/torch_stable.html'])
def check_md5(filename, expected_md5):
if not os.path.exists(filename):
return False
hash_md5 = hashlib.md5()
BLOCKSIZE = 1024 * 64
with open(filename, "rb") as f:
buf = f.read(BLOCKSIZE)
while len(buf) > 0:
hash_md5.update(buf)
buf = f.read(BLOCKSIZE)
hex = hash_md5.hexdigest()
if hex != expected_md5:
log.info('md5 mismatch, expect %s, got %s' % (expected_md5, hex))
os.remove(filename)
return False
return True
def setup_test_data(build_dir, configs):
# create a shortcut for test models if there is a 'models'
# folder in build_dir
if is_windows():
src_model_dir = os.path.join(build_dir, 'models')
if os.path.exists('C:\\local\\models') and not os.path.exists(
src_model_dir):
log.debug("creating shortcut %s -> %s" % (
'C:\\local\\models', src_model_dir))
run_subprocess(['mklink', '/D', '/J', src_model_dir,
'C:\\local\\models'], shell=True)
for config in configs:
config_build_dir = get_config_build_dir(build_dir, config)
os.makedirs(config_build_dir, exist_ok=True)
dest_model_dir = os.path.join(config_build_dir, 'models')
if os.path.exists('C:\\local\\models') and not os.path.exists(
dest_model_dir):
log.debug("creating shortcut %s -> %s" % (
'C:\\local\\models', dest_model_dir))
run_subprocess(['mklink', '/D', '/J', dest_model_dir,
'C:\\local\\models'], shell=True)
elif os.path.exists(src_model_dir) and not os.path.exists(
dest_model_dir):
log.debug("creating shortcut %s -> %s" % (
src_model_dir, dest_model_dir))
run_subprocess(['mklink', '/D', '/J', dest_model_dir,
src_model_dir], shell=True)
def use_dev_mode(args):
if args.use_acl:
return 'OFF'
if args.use_armnn:
return 'OFF'
if args.ios and is_macOS():
return 'OFF'
return 'ON'
def generate_build_tree(cmake_path, source_dir, build_dir, cuda_home, cudnn_home, rocm_home,
mpi_home, nccl_home, tensorrt_home, migraphx_home, acl_home, acl_libs, armnn_home, armnn_libs,
path_to_protoc_exe, configs, cmake_extra_defines, args, cmake_extra_args):
log.info("Generating CMake build tree")
cmake_dir = os.path.join(source_dir, "cmake")
cmake_args = [
cmake_path, cmake_dir,
"-Donnxruntime_RUN_ONNX_TESTS=" + ("ON" if args.enable_onnx_tests else "OFF"),
"-Donnxruntime_BUILD_WINML_TESTS=" + ("OFF" if args.skip_winml_tests else "ON"),
"-Donnxruntime_GENERATE_TEST_REPORTS=ON",
"-Donnxruntime_DEV_MODE=" + use_dev_mode(args),
"-DPYTHON_EXECUTABLE=" + sys.executable,
"-Donnxruntime_USE_CUDA=" + ("ON" if args.use_cuda else "OFF"),
"-Donnxruntime_CUDA_VERSION=" + (args.cuda_version if args.use_cuda else ""),
"-Donnxruntime_CUDA_HOME=" + (cuda_home if args.use_cuda else ""),
"-Donnxruntime_CUDNN_HOME=" + (cudnn_home if args.use_cuda else ""),
"-Donnxruntime_USE_FEATURIZERS=" + ("ON" if args.use_featurizers else "OFF"),
"-Donnxruntime_USE_MIMALLOC_STL_ALLOCATOR=" + (
"ON" if args.use_mimalloc == "stl" or args.use_mimalloc == "all" else "OFF"),
"-Donnxruntime_USE_MIMALLOC_ARENA_ALLOCATOR=" + (
"ON" if args.use_mimalloc == "arena" or args.use_mimalloc == "all" else "OFF"),
"-Donnxruntime_ENABLE_PYTHON=" + ("ON" if args.enable_pybind else "OFF"),
"-Donnxruntime_BUILD_CSHARP=" + ("ON" if args.build_csharp else "OFF"),
"-Donnxruntime_BUILD_JAVA=" + ("ON" if args.build_java else "OFF"),
"-Donnxruntime_BUILD_NODEJS=" + ("ON" if args.build_nodejs else "OFF"),
"-Donnxruntime_BUILD_SHARED_LIB=" + ("ON" if args.build_shared_lib else "OFF"),
"-Donnxruntime_USE_DNNL=" + ("ON" if args.use_dnnl else "OFF"),
"-Donnxruntime_DNNL_GPU_RUNTIME=" + (args.dnnl_gpu_runtime if args.use_dnnl else ""),
"-Donnxruntime_DNNL_OPENCL_ROOT=" + (args.dnnl_opencl_root if args.use_dnnl else ""),
"-Donnxruntime_USE_NNAPI_BUILTIN=" + ("ON" if args.use_nnapi else "OFF"),
"-Donnxruntime_USE_RKNPU=" + ("ON" if args.use_rknpu else "OFF"),
"-Donnxruntime_USE_OPENMP=" + (
"ON" if args.use_openmp and not (
args.use_nnapi or
args.android or (args.ios and is_macOS())
or args.use_rknpu)
else "OFF"),
"-Donnxruntime_USE_TVM=" + ("ON" if args.use_nuphar else "OFF"),
"-Donnxruntime_USE_LLVM=" + ("ON" if args.use_nuphar else "OFF"),
"-Donnxruntime_ENABLE_MICROSOFT_INTERNAL=" + ("ON" if args.enable_msinternal else "OFF"),
"-Donnxruntime_USE_VITISAI=" + ("ON" if args.use_vitisai else "OFF"),
"-Donnxruntime_USE_NUPHAR=" + ("ON" if args.use_nuphar else "OFF"),
"-Donnxruntime_USE_TENSORRT=" + ("ON" if args.use_tensorrt else "OFF"),
"-Donnxruntime_TENSORRT_HOME=" + (tensorrt_home if args.use_tensorrt else ""),
# set vars for migraphx
"-Donnxruntime_USE_MIGRAPHX=" + ("ON" if args.use_migraphx else "OFF"),
"-Donnxruntime_MIGRAPHX_HOME=" + (migraphx_home if args.use_migraphx else ""),
# By default - we currently support only cross compiling for ARM/ARM64
# (no native compilation supported through this script).
"-Donnxruntime_CROSS_COMPILING=" + ("ON" if args.arm64 or args.arm else "OFF"),
"-Donnxruntime_DISABLE_CONTRIB_OPS=" + ("ON" if args.disable_contrib_ops else "OFF"),
"-Donnxruntime_DISABLE_ML_OPS=" + ("ON" if args.disable_ml_ops else "OFF"),
"-Donnxruntime_DISABLE_RTTI=" + ("ON" if args.disable_rtti else "OFF"),
"-Donnxruntime_DISABLE_EXCEPTIONS=" + ("ON" if args.disable_exceptions else "OFF"),
"-Donnxruntime_DISABLE_ORT_FORMAT_LOAD=" + ("ON" if args.disable_ort_format_load else "OFF"),
# Need to use 'is not None' with minimal_build check as it could be an empty list.
"-Donnxruntime_MINIMAL_BUILD=" + ("ON" if args.minimal_build is not None else "OFF"),
"-Donnxruntime_EXTENDED_MINIMAL_BUILD=" + ("ON" if args.minimal_build and 'extended' in args.minimal_build
else "OFF"),
"-Donnxruntime_MINIMAL_BUILD_CUSTOM_OPS=" + ("ON" if args.minimal_build and 'custom_ops' in args.minimal_build
else "OFF"),
"-Donnxruntime_REDUCED_OPS_BUILD=" + ("ON" if is_reduced_ops_build(args) else "OFF"),
"-Donnxruntime_MSVC_STATIC_RUNTIME=" + ("ON" if args.enable_msvc_static_runtime else "OFF"),
# enable pyop if it is nightly build
"-Donnxruntime_ENABLE_LANGUAGE_INTEROP_OPS=" + ("ON" if args.enable_language_interop_ops else "OFF"),
"-Donnxruntime_USE_DML=" + ("ON" if args.use_dml else "OFF"),
"-Donnxruntime_USE_WINML=" + ("ON" if args.use_winml else "OFF"),
"-Donnxruntime_BUILD_MS_EXPERIMENTAL_OPS=" + ("ON" if args.ms_experimental else "OFF"),
"-Donnxruntime_USE_TELEMETRY=" + ("ON" if args.use_telemetry else "OFF"),
"-Donnxruntime_ENABLE_LTO=" + ("ON" if args.enable_lto else "OFF"),
"-Donnxruntime_USE_ACL=" + ("ON" if args.use_acl else "OFF"),
"-Donnxruntime_USE_ACL_1902=" + ("ON" if args.use_acl == "ACL_1902" else "OFF"),
"-Donnxruntime_USE_ACL_1905=" + ("ON" if args.use_acl == "ACL_1905" else "OFF"),
"-Donnxruntime_USE_ACL_1908=" + ("ON" if args.use_acl == "ACL_1908" else "OFF"),
"-Donnxruntime_USE_ACL_2002=" + ("ON" if args.use_acl == "ACL_2002" else "OFF"),
"-Donnxruntime_USE_ARMNN=" + ("ON" if args.use_armnn else "OFF"),
"-Donnxruntime_ARMNN_RELU_USE_CPU=" + ("OFF" if args.armnn_relu else "ON"),
"-Donnxruntime_ARMNN_BN_USE_CPU=" + ("OFF" if args.armnn_bn else "ON"),
# Training related flags
"-Donnxruntime_ENABLE_NVTX_PROFILE=" + ("ON" if args.enable_nvtx_profile else "OFF"),
"-Donnxruntime_ENABLE_TRAINING=" + ("ON" if args.enable_training else "OFF"),
"-Donnxruntime_ENABLE_TRAINING_OPS=" + ("ON" if args.enable_training_ops else "OFF"),
# Enable advanced computations such as AVX for some traininig related ops.
"-Donnxruntime_ENABLE_CPU_FP16_OPS=" + ("ON" if args.enable_training else "OFF"),
"-Donnxruntime_USE_NCCL=" + ("OFF" if args.disable_nccl else "ON"),
"-Donnxruntime_BUILD_BENCHMARKS=" + ("ON" if args.build_micro_benchmarks else "OFF"),
"-Donnxruntime_USE_ROCM=" + ("ON" if args.use_rocm else "OFF"),
"-Donnxruntime_ROCM_HOME=" + (rocm_home if args.use_rocm else ""),
"-DOnnxruntime_GCOV_COVERAGE=" + ("ON" if args.code_coverage else "OFF"),
"-Donnxruntime_USE_MPI=" + ("ON" if args.use_mpi else "OFF"),
"-Donnxruntime_ENABLE_MEMORY_PROFILE=" + ("ON" if args.enable_memory_profile else "OFF"),
"-Donnxruntime_ENABLE_CUDA_LINE_NUMBER_INFO=" + ("ON" if args.enable_cuda_line_info else "OFF"),
]
if acl_home and os.path.exists(acl_home):
cmake_args += ["-Donnxruntime_ACL_HOME=" + acl_home]
if acl_libs and os.path.exists(acl_libs):
cmake_args += ["-Donnxruntime_ACL_LIBS=" + acl_libs]
if armnn_home and os.path.exists(armnn_home):
cmake_args += ["-Donnxruntime_ARMNN_HOME=" + armnn_home]
if armnn_libs and os.path.exists(armnn_libs):
cmake_args += ["-Donnxruntime_ARMNN_LIBS=" + armnn_libs]
if mpi_home and os.path.exists(mpi_home):
if args.use_mpi:
cmake_args += ["-Donnxruntime_MPI_HOME=" + mpi_home]
else:
log.warning("mpi_home is supplied but use_mpi is set to false."
" Build will continue without linking MPI libraries.")
if nccl_home and os.path.exists(nccl_home):
cmake_args += ["-Donnxruntime_NCCL_HOME=" + nccl_home]
if args.winml_root_namespace_override:
cmake_args += ["-Donnxruntime_WINML_NAMESPACE_OVERRIDE=" +
args.winml_root_namespace_override]
if args.use_openvino:
cmake_args += ["-Donnxruntime_USE_OPENVINO=ON",
"-Donnxruntime_USE_OPENVINO_MYRIAD=" + (
"ON" if args.use_openvino == "MYRIAD_FP16" else "OFF"),
"-Donnxruntime_USE_OPENVINO_GPU_FP32=" + (
"ON" if args.use_openvino == "GPU_FP32" else "OFF"),
"-Donnxruntime_USE_OPENVINO_GPU_FP16=" + (
"ON" if args.use_openvino == "GPU_FP16" else "OFF"),
"-Donnxruntime_USE_OPENVINO_CPU_FP32=" + (
"ON" if args.use_openvino == "CPU_FP32" else "OFF"),
"-Donnxruntime_USE_OPENVINO_VAD_M=" + (
"ON" if args.use_openvino == "VAD-M_FP16" else "OFF"),
"-Donnxruntime_USE_OPENVINO_VAD_F=" + (
"ON" if args.use_openvino == "VAD-F_FP32" else "OFF"),
"-Donnxruntime_USE_OPENVINO_HETERO=" + (
"ON" if args.use_openvino.startswith("HETERO") else "OFF"),
"-Donnxruntime_USE_OPENVINO_DEVICE=" + (args.use_openvino),
"-Donnxruntime_USE_OPENVINO_MULTI=" + (
"ON" if args.use_openvino.startswith("MULTI") else "OFF")]
# TensorRT and OpenVINO providers currently only supports
# full_protobuf option.
if (args.use_full_protobuf or args.use_tensorrt or
args.use_openvino or args.use_vitisai or args.gen_doc):
cmake_args += [
"-Donnxruntime_USE_FULL_PROTOBUF=ON",
"-DProtobuf_USE_STATIC_LIBS=ON"
]
if args.use_nuphar and args.llvm_path is not None:
cmake_args += ["-DLLVM_DIR=%s" % args.llvm_path]
if args.use_cuda and not is_windows():
nvml_stub_path = cuda_home + "/lib64/stubs"
cmake_args += ["-DCUDA_CUDA_LIBRARY=" + nvml_stub_path]
if args.use_preinstalled_eigen:
cmake_args += ["-Donnxruntime_USE_PREINSTALLED_EIGEN=ON",
"-Deigen_SOURCE_PATH=" + args.eigen_path]
if args.nnapi_min_api:
cmake_args += ["-Donnxruntime_NNAPI_MIN_API=" + str(args.nnapi_min_api)]
if args.android:
cmake_args += [
"-DCMAKE_TOOLCHAIN_FILE=" + args.android_ndk_path + "/build/cmake/android.toolchain.cmake",
"-DANDROID_PLATFORM=android-" + str(args.android_api),
"-DANDROID_ABI=" + str(args.android_abi)
]
if args.android_cpp_shared:
cmake_args += ["-DANDROID_STL=c++_shared"]
if is_macOS() and not args.android:
cmake_args += ["-DCMAKE_OSX_ARCHITECTURES=" + args.osx_arch]
# since cmake 3.19, it uses the xcode latest buildsystem, which is not supported by this project.
cmake_verstr = subprocess.check_output(['cmake', '--version']).decode('utf-8').split()[2]
if args.use_xcode and LooseVersion(cmake_verstr) >= LooseVersion('3.19.0'):
cmake_args += ["-T", "buildsystem=1"]
if args.apple_deploy_target:
cmake_args += ["-DCMAKE_OSX_DEPLOYMENT_TARGET=" + args.apple_deploy_target]
if args.use_coreml:
if not is_macOS():
raise BuildError("Build CoreML EP requires macOS")
cmake_args += ["-Donnxruntime_USE_COREML=ON"]
if args.ios:
if is_macOS():
needed_args = [
args.use_xcode,
args.ios_sysroot,
args.apple_deploy_target,
]
arg_names = [
"--use_xcode " +
"<need use xcode to cross build iOS on MacOS>",
"--ios_sysroot " +
"<the location or name of the macOS platform SDK>",
"--apple_deploy_target " +
"<the minimum version of the target platform>",
]
if not all(needed_args):
raise BuildError(
"iOS build on MacOS canceled due to missing arguments: " +
', '.join(
val for val, cond in zip(arg_names, needed_args)
if not cond))
cmake_args += [
"-DCMAKE_SYSTEM_NAME=iOS",
"-Donnxruntime_BUILD_SHARED_LIB=ON",
"-DCMAKE_OSX_SYSROOT=" + args.ios_sysroot,
"-DCMAKE_OSX_DEPLOYMENT_TARGET=" + args.apple_deploy_target,
# we do not need protoc binary for ios cross build
"-Dprotobuf_BUILD_PROTOC_BINARIES=OFF",
"-DCMAKE_TOOLCHAIN_FILE=" + (
args.ios_toolchain_file if args.ios_toolchain_file
else "../cmake/onnxruntime_ios.toolchain.cmake")
]
# Code sign the binaries, if the code signing development team id is provided
if args.xcode_code_signing_team_id:
cmake_args += ["-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=" + args.xcode_code_signing_team_id]
else:
# TODO: the cross compiling on Linux is not officially supported by Apple
# and is already broken with the latest codebase, so it should be removed.
# We are cross compiling on Linux
needed_args = [
args.ios_sysroot,
args.arm64 or args.arm,
args.ios_toolchain_dir
]
arg_names = [
"--ios_sysroot <path to sysroot>",
"--arm or --arm64",
"--ios_toolchain_dir <path to toolchain>"
]
if not all(needed_args):
raise BuildError(
"iOS build canceled due to missing arguments: " +
', '.join(
val for val, cond in zip(arg_names, needed_args)
if not cond))
compilers = sorted(
glob.glob(args.ios_toolchain_dir + "/bin/*-clang*"))
os.environ["PATH"] = os.path.join(
args.ios_toolchain_dir, "bin") + os.pathsep + os.environ.get(
"PATH", "")
os.environ["LD_LIBRARY_PATH"] = os.path.join(
args.ios_toolchain_dir, "/lib") + os.pathsep + os.environ.get(
"LD_LIBRARY_PATH", "")
if len(compilers) != 2:
raise BuildError(
"error identifying compilers in ios_toolchain_dir")
cmake_args += [
"-DCMAKE_OSX_ARCHITECTURES=" +
("arm64" if args.arm64 else "arm"),
"-DCMAKE_SYSTEM_NAME=iOSCross",
"-Donnxruntime_BUILD_UNIT_TESTS=OFF",
"-DCMAKE_OSX_SYSROOT=" + args.ios_sysroot,
"-DCMAKE_C_COMPILER=" + compilers[0],
"-DCMAKE_CXX_COMPILER=" + compilers[1]
]
if path_to_protoc_exe:
cmake_args += [
"-DONNX_CUSTOM_PROTOC_EXECUTABLE=%s" % path_to_protoc_exe]
if args.fuzz_testing:
if not (args.build_shared_lib and
is_windows() and
args.cmake_generator == 'Visual Studio 16 2019' and
args.use_full_protobuf):
raise BuildError(
"Fuzz test has only be tested with build shared libs option using MSVC on windows")
cmake_args += [
"-Donnxruntime_BUILD_UNIT_TESTS=ON",
"-Donnxruntime_FUZZ_TEST=ON",
"-Donnxruntime_USE_FULL_PROTOBUF=ON"]
if args.gen_doc:
cmake_args += ["-Donnxruntime_PYBIND_EXPORT_OPSCHEMA=ON"]
else:
cmake_args += ["-Donnxruntime_PYBIND_EXPORT_OPSCHEMA=OFF"]
cmake_args += ["-D{}".format(define) for define in cmake_extra_defines]
cmake_args += cmake_extra_args
# ADO pipelines will store the pipeline build number
# (e.g. 191101-2300.1.master) and source version in environment
# variables. If present, use these values to define the
# WinML/ORT DLL versions.
build_number = os.getenv('Build_BuildNumber')
source_version = os.getenv('Build_SourceVersion')
if build_number and source_version:
build_matches = re.fullmatch(
r"(\d\d)(\d\d)(\d\d)(\d\d)\.(\d+)", build_number)
if build_matches:
YY = build_matches.group(2)
MM = build_matches.group(3)
DD = build_matches.group(4)
# Get ORT major and minor number
with open(os.path.join(source_dir, 'VERSION_NUMBER')) as f:
first_line = f.readline()
ort_version_matches = re.match(r"(\d+).(\d+)", first_line)
if not ort_version_matches:
raise BuildError("Couldn't read version from VERSION_FILE")
ort_major = ort_version_matches.group(1)
ort_minor = ort_version_matches.group(2)
# Example (BuildNumber: 191101-2300.1.master,
# SourceVersion: 0bce7ae6755c792eda558e5d27ded701707dc404)
# MajorPart = 1
# MinorPart = 0
# BuildPart = 1911
# PrivatePart = 123
# String = 191101-2300.1.master.0bce7ae
cmake_args += [
"-DVERSION_MAJOR_PART={}".format(ort_major),
"-DVERSION_MINOR_PART={}".format(ort_minor),
"-DVERSION_BUILD_PART={}".format(YY),
"-DVERSION_PRIVATE_PART={}{}".format(MM, DD),
"-DVERSION_STRING={}.{}.{}.{}".format(
ort_major, ort_minor, build_number,
source_version[0:7])
]
for config in configs:
config_build_dir = get_config_build_dir(build_dir, config)
os.makedirs(config_build_dir, exist_ok=True)
if args.use_nuphar:
os.environ["PATH"] = os.path.join(
config_build_dir, "external", "tvm",
config) + os.pathsep + os.path.dirname(sys.executable) + os.pathsep + os.environ["PATH"]
run_subprocess(
cmake_args + [
"-Donnxruntime_ENABLE_MEMLEAK_CHECKER=" +
("ON" if config.lower() == 'debug' and not args.use_nuphar and not
args.use_openvino and not
args.enable_msvc_static_runtime
else "OFF"), "-DCMAKE_BUILD_TYPE={}".format(config)],
cwd=config_build_dir)
def clean_targets(cmake_path, build_dir, configs):
for config in configs:
log.info("Cleaning targets for %s configuration", config)
build_dir2 = get_config_build_dir(build_dir, config)
cmd_args = [cmake_path,
"--build", build_dir2,
"--config", config,
"--target", "clean"]
run_subprocess(cmd_args)
def build_targets(args, cmake_path, build_dir, configs, num_parallel_jobs, target=None):
for config in configs:
log.info("Building targets for %s configuration", config)
build_dir2 = get_config_build_dir(build_dir, config)
cmd_args = [cmake_path,
"--build", build_dir2,
"--config", config]
if target:
cmd_args.extend(['--target', target])
build_tool_args = []
if num_parallel_jobs != 1:
if is_windows() and args.cmake_generator != 'Ninja':
build_tool_args += [
"/maxcpucount:{}".format(num_parallel_jobs),
# if nodeReuse is true, msbuild processes will stay around for a bit after the build completes
"/nodeReuse:False",
]
elif (is_macOS() and args.use_xcode):
# CMake will generate correct build tool args for Xcode
cmd_args += ["--parallel", str(num_parallel_jobs)]
else:
build_tool_args += ["-j{}".format(num_parallel_jobs)]
if build_tool_args:
cmd_args += ["--"]
cmd_args += build_tool_args
env = {}
if args.android:
env['ANDROID_SDK_ROOT'] = args.android_sdk_path
run_subprocess(cmd_args, env=env)
def add_dir_if_exists(directory, dir_list):
if os.path.isdir(directory):
dir_list.append(directory)
def setup_cuda_vars(args):
cuda_home = ""
cudnn_home = ""
if args.use_cuda:
cuda_home = args.cuda_home if args.cuda_home else os.getenv(
"CUDA_HOME")
cudnn_home = args.cudnn_home if args.cudnn_home else os.getenv(
"CUDNN_HOME")
cuda_home_valid = (cuda_home is not None and os.path.exists(cuda_home))
cudnn_home_valid = (cudnn_home is not None and os.path.exists(
cudnn_home))
if not cuda_home_valid or not cudnn_home_valid:
raise BuildError(
"cuda_home and cudnn_home paths must be specified and valid.",
"cuda_home='{}' valid={}. cudnn_home='{}' valid={}"
.format(
cuda_home, cuda_home_valid, cudnn_home, cudnn_home_valid))
return cuda_home, cudnn_home
def setup_tensorrt_vars(args):
tensorrt_home = ""
if args.use_tensorrt:
tensorrt_home = (args.tensorrt_home if args.tensorrt_home
else os.getenv("TENSORRT_HOME"))
tensorrt_home_valid = (tensorrt_home is not None and
os.path.exists(tensorrt_home))
if not tensorrt_home_valid:
raise BuildError(
"tensorrt_home paths must be specified and valid.",
"tensorrt_home='{}' valid={}."
.format(tensorrt_home, tensorrt_home_valid))
# Set maximum workspace size in byte for
# TensorRT (1GB = 1073741824 bytes).
os.environ["ORT_TENSORRT_MAX_WORKSPACE_SIZE"] = "1073741824"
# Set maximum number of iterations to detect unsupported nodes
# and partition the models for TensorRT.
os.environ["ORT_TENSORRT_MAX_PARTITION_ITERATIONS"] = "1000"
# Set minimum subgraph node size in graph partitioning
# for TensorRT.
os.environ["ORT_TENSORRT_MIN_SUBGRAPH_SIZE"] = "1"
# Set FP16 flag
os.environ["ORT_TENSORRT_FP16_ENABLE"] = "0"
return tensorrt_home
def setup_migraphx_vars(args):
migraphx_home = None
if (args.use_migraphx):
print("migraphx_home = {}".format(args.migraphx_home))
migraphx_home = args.migraphx_home or os.getenv("MIGRAPHX_HOME") or None
migraphx_home_not_valid = (migraphx_home and not os.path.exists(migraphx_home))
if (migraphx_home_not_valid):
raise BuildError("migraphx_home paths must be specified and valid.",
"migraphx_home='{}' valid={}."
.format(migraphx_home, migraphx_home_not_valid))
return migraphx_home or ''
def setup_dml_build(args, cmake_path, build_dir, configs):
if args.use_dml:
for config in configs:
# Run the RESTORE_PACKAGES target to perform the initial
# NuGet setup.
cmd_args = [cmake_path,
"--build", get_config_build_dir(build_dir, config),
"--config", config,
"--target", "RESTORE_PACKAGES"]
run_subprocess(cmd_args)
def setup_rocm_build(args, configs):
rocm_home = None
if (args.use_rocm):
print("rocm_home = {}".format(args.rocm_home))
rocm_home = args.rocm_home or None
rocm_home_not_valid = (rocm_home and not os.path.exists(rocm_home))
if (rocm_home_not_valid):
raise BuildError("rocm_home paths must be specified and valid.",
"rocm_home='{}' valid={}."
.format(rocm_home, rocm_home_not_valid))
for config in configs:
amd_hipify(get_config_build_dir(args.build_dir, config))
return rocm_home or ''
def run_android_tests(args, source_dir, config, cwd):
sdk_tool_paths = android.get_sdk_tool_paths(args.android_sdk_path)
device_dir = '/data/local/tmp'
def adb_push(src, dest, **kwargs):
return run_subprocess([sdk_tool_paths.adb, 'push', src, dest], **kwargs)
def adb_shell(*args, **kwargs):
return run_subprocess([sdk_tool_paths.adb, 'shell', *args], **kwargs)
def run_adb_shell(cmd):
# GCOV_PREFIX_STRIP specifies the depth of the directory hierarchy to strip and
# GCOV_PREFIX specifies the root directory
# for creating the runtime code coverage files.
if args.code_coverage:
adb_shell(
'cd {0} && GCOV_PREFIX={0} GCOV_PREFIX_STRIP={1} {2}'.format(
device_dir, cwd.count(os.sep) + 1, cmd))
else:
adb_shell('cd {} && {}'.format(device_dir, cmd))
if args.android_abi == 'x86_64':
with contextlib.ExitStack() as context_stack:
if args.android_run_emulator:
avd_name = "ort_android"
system_image = "system-images;android-{};google_apis;{}".format(
args.android_api, args.android_abi)
android.create_virtual_device(sdk_tool_paths, system_image, avd_name)
emulator_proc = context_stack.enter_context(
android.start_emulator(
sdk_tool_paths=sdk_tool_paths,
avd_name=avd_name,
extra_args=[
"-partition-size", "2047",
"-wipe-data"]))
context_stack.callback(android.stop_emulator, emulator_proc)
adb_push('testdata', device_dir, cwd=cwd)
adb_push(
os.path.join(source_dir, 'cmake', 'external', 'onnx', 'onnx', 'backend', 'test'),
device_dir, cwd=cwd)
adb_push('onnxruntime_test_all', device_dir, cwd=cwd)
adb_shell('chmod +x {}/onnxruntime_test_all'.format(device_dir))
adb_push('onnx_test_runner', device_dir, cwd=cwd)
adb_shell('chmod +x {}/onnx_test_runner'.format(device_dir))
run_adb_shell('{0}/onnxruntime_test_all'.format(device_dir))
if args.use_nnapi:
adb_shell('cd {0} && {0}/onnx_test_runner -e nnapi {0}/test'.format(device_dir))
else:
adb_shell('cd {0} && {0}/onnx_test_runner {0}/test'.format(device_dir))
# run shared_lib_test if necessary
if args.build_shared_lib:
adb_push('libonnxruntime.so', device_dir, cwd=cwd)
adb_push('onnxruntime_shared_lib_test', device_dir, cwd=cwd)
adb_shell('chmod +x {}/onnxruntime_shared_lib_test'.format(device_dir))
run_adb_shell(
'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:{0} && {0}/onnxruntime_shared_lib_test'.format(
device_dir))
def run_ios_tests(args, source_dir, config, cwd):
cpr = run_subprocess(["xcodebuild", "test", "-project", "./onnxruntime.xcodeproj",
"-configuration", config,
"-scheme", "onnxruntime_test_all_xc", "-destination",
"platform=iOS Simulator,OS=latest,name=iPhone SE (2nd generation)"], cwd=cwd)
if cpr.returncode == 0:
cpr = run_subprocess(["xcodebuild", "test", "-project", "./onnxruntime.xcodeproj",
"-configuration", config,
"-scheme", "onnxruntime_shared_lib_test_xc", "-destination",
"platform=iOS Simulator,OS=latest,name=iPhone SE (2nd generation)"], cwd=cwd)
cpr.check_returncode()
def run_orttraining_test_orttrainer_frontend_separately(cwd):
class TestNameCollecterPlugin:
def __init__(self):
self.collected = set()
def pytest_collection_modifyitems(self, items):
for item in items:
print('item.name: ', item.name)
test_name = item.name
start = test_name.find('[')
if start > 0:
test_name = test_name[:start]
self.collected.add(test_name)
import pytest
plugin = TestNameCollecterPlugin()
test_script_filename = os.path.join(cwd, "orttraining_test_orttrainer_frontend.py")
pytest.main(['--collect-only', test_script_filename], plugins=[plugin])
for test_name in plugin.collected:
run_subprocess([
sys.executable, '-m', 'pytest',
'orttraining_test_orttrainer_frontend.py', '-v', '-k', test_name], cwd=cwd)
def run_training_python_frontend_tests(cwd):
run_subprocess([sys.executable, 'onnxruntime_test_ort_trainer.py'], cwd=cwd)
run_subprocess([sys.executable, 'onnxruntime_test_training_unit_tests.py'], cwd=cwd)
run_subprocess([
sys.executable, 'orttraining_test_transformers.py',
'BertModelTest.test_for_pretraining_full_precision_list_input'], cwd=cwd)
run_subprocess([
sys.executable, 'orttraining_test_transformers.py',
'BertModelTest.test_for_pretraining_full_precision_dict_input'], cwd=cwd)
run_subprocess([
sys.executable, 'orttraining_test_transformers.py',
'BertModelTest.test_for_pretraining_full_precision_list_and_dict_input'], cwd=cwd)
# TODO: use run_orttraining_test_orttrainer_frontend_separately to work around a sporadic segfault.
# shall revert to run_subprocess call once the segfault issue is resolved.
run_orttraining_test_orttrainer_frontend_separately(cwd)
# run_subprocess([sys.executable, '-m', 'pytest', '-sv', 'orttraining_test_orttrainer_frontend.py'], cwd=cwd)
run_subprocess([sys.executable, '-m', 'pytest', '-sv', 'orttraining_test_orttrainer_bert_toy_onnx.py'], cwd=cwd)
run_subprocess([sys.executable, '-m', 'pytest', '-sv', 'orttraining_test_checkpoint_storage.py'], cwd=cwd)
run_subprocess([
sys.executable, '-m', 'pytest', '-sv', 'orttraining_test_orttrainer_checkpoint_functions.py'], cwd=cwd)
def run_training_python_frontend_e2e_tests(cwd):
# frontend tests are to be added here:
log.info("Running python frontend e2e tests.")
run_subprocess(
[sys.executable, 'orttraining_run_frontend_batch_size_test.py', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
import torch
ngpus = torch.cuda.device_count()
if ngpus > 1:
bert_pretrain_script = 'orttraining_run_bert_pretrain.py'
# TODO: this test will be replaced with convergence test ported from backend
log.debug('RUN: mpirun -n {} ''-x' 'NCCL_DEBUG=INFO'' {} {} {}'.format(
ngpus, sys.executable, bert_pretrain_script, 'ORTBertPretrainTest.test_pretrain_convergence'))
run_subprocess([
'mpirun', '-n', str(ngpus), '-x', 'NCCL_DEBUG=INFO', sys.executable,
bert_pretrain_script, 'ORTBertPretrainTest.test_pretrain_convergence'], cwd=cwd)
log.debug('RUN: mpirun -n {} {} orttraining_run_glue.py'.format(ngpus, sys.executable))
run_subprocess([
'mpirun', '-n', str(ngpus), '-x', 'NCCL_DEBUG=INFO', sys.executable, 'orttraining_run_glue.py'], cwd=cwd)
# with orttraining_run_glue.py.
# 1. we like to force to use single GPU (with CUDA_VISIBLE_DEVICES)
# for fine-tune tests.
# 2. need to run test separately (not to mix between fp16
# and full precision runs. this need to be investigated).
run_subprocess(
[sys.executable, 'orttraining_run_glue.py', 'ORTGlueTest.test_bert_with_mrpc', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
run_subprocess(
[sys.executable, 'orttraining_run_glue.py', 'ORTGlueTest.test_bert_fp16_with_mrpc', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
run_subprocess(
[sys.executable, 'orttraining_run_glue.py', 'ORTGlueTest.test_roberta_with_mrpc', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
run_subprocess(
[sys.executable, 'orttraining_run_glue.py', 'ORTGlueTest.test_roberta_fp16_with_mrpc', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
run_subprocess(
[sys.executable, 'orttraining_run_multiple_choice.py', 'ORTMultipleChoiceTest.test_bert_fp16_with_swag', '-v'],
cwd=cwd, env={'CUDA_VISIBLE_DEVICES': '0'})
run_subprocess([sys.executable, 'onnxruntime_test_ort_trainer_with_mixed_precision.py'], cwd=cwd)
run_subprocess([
sys.executable, 'orttraining_test_transformers.py',
'BertModelTest.test_for_pretraining_mixed_precision'], cwd=cwd)
def run_onnxruntime_tests(args, source_dir, ctest_path, build_dir, configs):
for config in configs:
log.info("Running tests for %s configuration", config)
cwd = get_config_build_dir(build_dir, config)
cwd = os.path.abspath(cwd)
if args.android:
run_android_tests(args, source_dir, config, cwd)
continue
elif args.ios:
run_ios_tests(args, source_dir, config, cwd)
continue
dll_path_list = []
if args.use_nuphar:
dll_path_list.append(os.path.join(
build_dir, config, "external", "tvm", config))
if args.use_tensorrt:
dll_path_list.append(os.path.join(args.tensorrt_home, 'lib'))
dll_path = None
if len(dll_path_list) > 0:
dll_path = os.pathsep.join(dll_path_list)
if ctest_path is None:
# Get the "Google Test Adapter" for vstest.
if not os.path.exists(os.path.join(cwd,
'googletestadapter.0.17.1')):
run_subprocess(
['nuget.exe', 'restore',
os.path.join(source_dir, 'packages.config'),
'-ConfigFile', os.path.join(source_dir, 'NuGet.config'),
'-PackagesDirectory', cwd])
cwd2 = os.path.join(cwd, config)
executables = ['onnxruntime_test_all.exe']
if args.build_shared_lib:
executables.append('onnxruntime_shared_lib_test.exe')
executables.append('onnxruntime_global_thread_pools_test.exe')
run_subprocess(
['vstest.console.exe', '--parallel',
'--TestAdapterPath:..\\googletestadapter.0.17.1\\build\\_common', # noqa
'/Logger:trx', '/Enablecodecoverage', '/Platform:x64',
"/Settings:%s" % os.path.join(
source_dir, 'cmake\\codeconv.runsettings')] + executables,
cwd=cwd2, dll_path=dll_path)
else:
ctest_cmd = [ctest_path, "--build-config", config, "--verbose", "--timeout", "3600"]
run_subprocess(ctest_cmd, cwd=cwd, dll_path=dll_path)
if args.enable_pybind:
# Disable python tests for TensorRT because many tests are
# not supported yet.
if args.use_tensorrt:
return
# Disable python tests in a reduced build as we don't know which ops have been included and which
# models can run.
if is_reduced_ops_build(args) or args.minimal_build is not None:
return
if is_windows():
cwd = os.path.join(cwd, config)
run_subprocess([sys.executable, 'onnxruntime_test_python.py'], cwd=cwd, dll_path=dll_path)
if args.enable_symbolic_shape_infer_tests:
run_subprocess([sys.executable, 'onnxruntime_test_python_symbolic_shape_infer.py'],
cwd=cwd, dll_path=dll_path)
# For CUDA enabled builds test IOBinding feature
if args.use_cuda:
# We need to have Torch installed to test the IOBinding feature
# which currently uses Torch's allocator to allocate GPU memory for testing
log.info("Testing IOBinding feature")
run_subprocess([sys.executable, 'onnxruntime_test_python_iobinding.py'], cwd=cwd, dll_path=dll_path)
if not args.disable_ml_ops:
run_subprocess([sys.executable, 'onnxruntime_test_python_mlops.py'], cwd=cwd, dll_path=dll_path)
if args.enable_training and args.use_cuda:
# run basic frontend tests
run_training_python_frontend_tests(cwd=cwd)
try:
import onnx # noqa
onnx_test = True
except ImportError as error:
log.exception(error)
log.warning("onnx is not installed. The ONNX tests will be skipped.")
onnx_test = False
if onnx_test:
run_subprocess([sys.executable, 'onnxruntime_test_python_backend.py'], cwd=cwd, dll_path=dll_path)
run_subprocess([sys.executable, '-m', 'unittest', 'discover', '-s', 'quantization'],
cwd=cwd, dll_path=dll_path)
if not args.disable_ml_ops:
run_subprocess([sys.executable, 'onnxruntime_test_python_backend_mlops.py'],
cwd=cwd, dll_path=dll_path)
run_subprocess([sys.executable,
os.path.join(source_dir, 'onnxruntime', 'test', 'onnx', 'gen_test_models.py'),
'--output_dir', 'test_models'], cwd=cwd)
if not args.skip_onnx_tests:
run_subprocess([os.path.join(cwd, 'onnx_test_runner'), 'test_models'], cwd=cwd)
if config != 'Debug':
run_subprocess([sys.executable, 'onnx_backend_test_series.py'], cwd=cwd, dll_path=dll_path)
if not args.skip_keras_test:
try:
import onnxmltools # noqa
import keras # noqa
onnxml_test = True
except ImportError:
log.warning(
"onnxmltools and keras are not installed. "
"The keras tests will be skipped.")
onnxml_test = False
if onnxml_test:
run_subprocess(
[sys.executable, 'onnxruntime_test_python_keras.py'],
cwd=cwd, dll_path=dll_path)
def nuphar_run_python_tests(build_dir, configs):
"""nuphar temporary function for running python tests separately
as it requires ONNX 1.5.0
"""
for config in configs:
if config == 'Debug':
continue
cwd = get_config_build_dir(build_dir, config)
if is_windows():
cwd = os.path.join(cwd, config)
dll_path = os.path.join(build_dir, config, "external", "tvm", config)
# install onnx for shape inference in testing Nuphar scripts
# this needs to happen after onnx_test_data preparation which
# uses onnx 1.3.0
run_subprocess(
[sys.executable, '-m', 'pip', 'install', '--user', 'onnx==1.5.0'])
run_subprocess(
[sys.executable, 'onnxruntime_test_python_nuphar.py'],
cwd=cwd, dll_path=dll_path)
def run_nodejs_tests(nodejs_binding_dir):
args = ['npm', 'test', '--', '--timeout=2000']
if is_windows():
args = ['cmd', '/c'] + args
run_subprocess(args, cwd=nodejs_binding_dir)
def build_python_wheel(
source_dir, build_dir, configs, use_cuda, use_dnnl,
use_tensorrt, use_openvino, use_nuphar, use_vitisai, use_acl, use_armnn, use_dml,
wheel_name_suffix, enable_training, nightly_build=False, featurizers_build=False, use_ninja=False):
for config in configs:
cwd = get_config_build_dir(build_dir, config)
if is_windows() and not use_ninja:
cwd = os.path.join(cwd, config)
args = [sys.executable, os.path.join(source_dir, 'setup.py'),
'bdist_wheel']
# We explicitly override the platform tag in the name of the generated build wheel
# so that we can install the wheel on Mac OS X versions 10.12+.
# Without this explicit override, we will something like this while building on MacOS 10.14 -
# [WARNING] MACOSX_DEPLOYMENT_TARGET is set to a lower value (10.12)
# than the version on which the Python interpreter was compiled (10.14) and will be ignored.
# Since we need to support 10.12+, we explicitly override the platform tag.
# See PR #3626 for more details
if is_macOS():
args += ['-p', 'macosx_10_12_x86_64']
# Any combination of the following arguments can be applied
if nightly_build:
args.append('--nightly_build')
if featurizers_build:
args.append("--use_featurizers")
if wheel_name_suffix:
args.append('--wheel_name_suffix={}'.format(wheel_name_suffix))
if enable_training:
args.append("--enable_training")
# The following arguments are mutually exclusive
if use_tensorrt:
args.append('--use_tensorrt')
elif use_cuda:
args.append('--use_cuda')
elif use_openvino:
args.append('--use_openvino')
elif use_dnnl:
args.append('--use_dnnl')
elif use_nuphar:
args.append('--use_nuphar')
elif use_vitisai:
args.append('--use_vitisai')
elif use_acl:
args.append('--use_acl')
elif use_armnn:
args.append('--use_armnn')
elif use_dml:
args.append('--use_dml')
run_subprocess(args, cwd=cwd)
def derive_linux_build_property():
if is_windows():
return "/p:IsLinuxBuild=\"false\""
else:
return "/p:IsLinuxBuild=\"true\""
def build_nuget_package(source_dir, build_dir, configs, use_cuda, use_openvino, use_tensorrt, use_dnnl, use_nuphar):
if not (is_windows() or is_linux()):
raise BuildError(
'Currently csharp builds and nuget package creation is only supportted '
'on Windows and Linux platforms.')
csharp_build_dir = os.path.join(source_dir, 'csharp')
is_linux_build = derive_linux_build_property()
# derive package name and execution provider based on the build args
execution_provider = "/p:ExecutionProvider=\"None\""
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime\""
if use_openvino:
execution_provider = "/p:ExecutionProvider=\"openvino\""
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime.OpenVino\""
elif use_tensorrt:
execution_provider = "/p:ExecutionProvider=\"tensorrt\""
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime.TensorRT\""
elif use_dnnl:
execution_provider = "/p:ExecutionProvider=\"dnnl\""
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime.DNNL\""
elif use_cuda:
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime.Gpu\""
elif use_nuphar:
package_name = "/p:OrtPackageId=\"Microsoft.ML.OnnxRuntime.Nuphar\""
else:
pass
# set build directory based on build_dir arg
native_dir = os.path.normpath(os.path.join(source_dir, build_dir))
ort_build_dir = "/p:OnnxRuntimeBuildDirectory=\"" + native_dir + "\""
# dotnet restore
cmd_args = ["dotnet", "restore", "OnnxRuntime.CSharp.sln", "--configfile", "Nuget.CSharp.config"]
run_subprocess(cmd_args, cwd=csharp_build_dir)
# build csharp bindings and create nuget package for each config
for config in configs:
if is_linux():
native_build_dir = os.path.join(native_dir, config)
cmd_args = ["make", "install", "DESTDIR=.//nuget-staging"]
run_subprocess(cmd_args, cwd=native_build_dir)
configuration = "/p:Configuration=\"" + config + "\""
cmd_args = ["dotnet", "msbuild", "OnnxRuntime.CSharp.sln", configuration, package_name, is_linux_build,
ort_build_dir]
run_subprocess(cmd_args, cwd=csharp_build_dir)
cmd_args = [
"dotnet", "msbuild", "OnnxRuntime.CSharp.proj", "/t:CreatePackage",
package_name, configuration, execution_provider, is_linux_build, ort_build_dir]
run_subprocess(cmd_args, cwd=csharp_build_dir)
def run_csharp_tests(source_dir, build_dir, use_cuda, use_openvino, use_tensorrt, use_dnnl):
# Currently only running tests on windows.
if not is_windows():
return
csharp_source_dir = os.path.join(source_dir, 'csharp')
is_linux_build = derive_linux_build_property()
# define macros based on build args
macros = ""
if use_openvino:
macros += "USE_OPENVINO;"
if use_tensorrt:
macros += "USE_TENSORRT;"
if use_dnnl:
macros += "USE_DNNL;"
if use_cuda:
macros += "USE_CUDA;"
define_constants = ""
if macros != "":
define_constants = "/p:DefineConstants=\"" + macros + "\""
# set build directory based on build_dir arg
native_build_dir = os.path.normpath(os.path.join(source_dir, build_dir))
ort_build_dir = "/p:OnnxRuntimeBuildDirectory=\"" + native_build_dir + "\""
# Skip pretrained models test. Only run unit tests as part of the build
# add "--verbosity", "detailed" to this command if required
cmd_args = ["dotnet", "test", "test\\Microsoft.ML.OnnxRuntime.Tests\\Microsoft.ML.OnnxRuntime.Tests.csproj",
"--filter", "FullyQualifiedName!=Microsoft.ML.OnnxRuntime.Tests.InferenceTest.TestPreTrainedModels",
is_linux_build, define_constants, ort_build_dir]
run_subprocess(cmd_args, cwd=csharp_source_dir)
def is_cross_compiling_on_apple(args):
if not is_macOS():
return False
if args.ios:
return True
if args.osx_arch != platform.machine():
return True
return False
def build_protoc_for_host(cmake_path, source_dir, build_dir, args):
if (args.arm or args.arm64 or args.enable_windows_store) and \
not (is_windows() or is_cross_compiling_on_apple(args)):
raise BuildError(
'Currently only support building protoc for Windows host while '
'cross-compiling for ARM/ARM64/Store and linux cross-compiling iOS')
log.info(
"Building protoc for host to be used in cross-compiled build process")
protoc_build_dir = os.path.join(os.getcwd(), build_dir, 'host_protoc')
os.makedirs(protoc_build_dir, exist_ok=True)
# Generate step
cmd_args = [
cmake_path,
os.path.join(source_dir, 'cmake', 'external', 'protobuf', 'cmake'),
'-Dprotobuf_BUILD_TESTS=OFF',
'-Dprotobuf_WITH_ZLIB_DEFAULT=OFF',
'-Dprotobuf_BUILD_SHARED_LIBS=OFF'
]
is_ninja = args.cmake_generator == 'Ninja'
if args.cmake_generator is not None and not (is_macOS() and args.use_xcode):
cmd_args += ['-G', args.cmake_generator]
if is_windows():
if not is_ninja:
cmd_args += ['-T', 'host=x64']
elif is_macOS():
if args.use_xcode:
cmd_args += ['-G', 'Xcode']
# CMake < 3.18 has a bug setting system arch to arm64 (if not specified) for Xcode 12,
# protoc for host should be built using host architecture
# Explicitly specify the CMAKE_OSX_ARCHITECTURES for x86_64 Mac.
cmd_args += ["-DCMAKE_OSX_ARCHITECTURES={}".format(
'arm64' if platform.machine() == 'arm64' else 'x86_64')]
run_subprocess(cmd_args, cwd=protoc_build_dir)
# Build step
cmd_args = [cmake_path,
"--build", protoc_build_dir,
"--config", "Release",
"--target", "protoc"]
run_subprocess(cmd_args)
# Absolute protoc path is needed for cmake
config_dir = ''
suffix = ''
if (is_windows() and not is_ninja) or (is_macOS() and args.use_xcode):
config_dir = 'Release'
if is_windows():
suffix = '.exe'
expected_protoc_path = os.path.join(protoc_build_dir, config_dir, 'protoc' + suffix)
if not os.path.exists(expected_protoc_path):
raise BuildError("Couldn't find {}. Host build of protoc failed.".format(expected_protoc_path))
return expected_protoc_path
def generate_documentation(source_dir, build_dir, configs):
operator_doc_path = os.path.join(source_dir, 'docs', 'ContribOperators.md')
opkernel_doc_path = os.path.join(source_dir, 'docs', 'OperatorKernels.md')
for config in configs:
# Copy the gen_contrib_doc.py.
shutil.copy(
os.path.join(source_dir, 'tools', 'python', 'gen_contrib_doc.py'),
os.path.join(build_dir, config))
shutil.copy(
os.path.join(source_dir, 'tools', 'python', 'gen_opkernel_doc.py'),
os.path.join(build_dir, config))
run_subprocess(
[sys.executable,
'gen_contrib_doc.py',
'--output_path', operator_doc_path],
cwd=os.path.join(build_dir, config))
run_subprocess(
[sys.executable,
'gen_opkernel_doc.py',
'--output_path', opkernel_doc_path],
cwd=os.path.join(build_dir, config))
docdiff = ''
try:
docdiff = subprocess.check_output(['git', 'diff', opkernel_doc_path])
except subprocess.CalledProcessError:
print('git diff returned non-zero error code')
if len(docdiff) > 0:
# Show warning instead of throwing exception, because it is
# dependent on build configuration for including
# execution propviders
log.warning(
'The updated opkernel document file ' + str(opkernel_doc_path) +
' is different from the checked in version. Consider '
'regenerating the file with CPU, DNNL and CUDA providers enabled.')
log.debug('diff:\n' + str(docdiff))
docdiff = ''
try:
docdiff = subprocess.check_output(['git', 'diff', operator_doc_path])
except subprocess.CalledProcessError:
print('git diff returned non-zero error code')
if len(docdiff) > 0:
raise BuildError(
'The updated operator document file ' +
str(operator_doc_path) + ' must be checked in.\n diff:\n' +
str(docdiff))
def main():
args = parse_arguments()
cmake_extra_defines = (args.cmake_extra_defines
if args.cmake_extra_defines else [])
cross_compiling = args.arm or args.arm64 or args.android
# If there was no explicit argument saying what to do, default
# to update, build and test (for native builds).
if not (args.update or args.clean or args.build or args.test):
log.debug("Defaulting to running update, build [and test for native builds].")
args.update = True
args.build = True
if cross_compiling:
args.test = args.android_abi == 'x86_64' or args.android_abi == 'arm64-v8a'
else:
args.test = True
if args.skip_tests:
args.test = False
if is_reduced_ops_build(args) and args.update:
from reduce_op_kernels import reduce_ops
reduce_ops(
config_path=args.include_ops_by_config,
enable_type_reduction=args.enable_reduced_operator_type_support,
use_cuda=args.use_cuda)
if args.use_tensorrt:
args.use_cuda = True
if args.build_wheel or args.gen_doc:
args.enable_pybind = True
if args.build_csharp or args.build_nuget or args.build_java or args.build_nodejs:
args.build_shared_lib = True
if args.build_nuget and cross_compiling:
raise BuildError('Currently nuget package creation is not supported while cross-compiling')
if args.enable_pybind and args.disable_exceptions:
raise BuildError('Python bindings require exceptions to be enabled.')
if args.minimal_build is not None and args.disable_ort_format_load:
raise BuildError('Minimal build requires loading ORT format models.')
if args.nnapi_min_api:
if not args.use_nnapi:
raise BuildError("Using --nnapi_min_api requires --use_nnapi")
if args.nnapi_min_api < 27:
raise BuildError("--nnapi_min_api should be 27+")
if args.code_coverage and not args.android:
raise BuildError("Using --code_coverage requires --android")
if args.gen_api_doc and len(args.config) != 1:
raise BuildError('Using --get-api-doc requires a single build config')
# Disabling unit tests for VAD-F as FPGA only supports
# models with NCHW layout
if args.use_openvino == "VAD-F_FP32":
args.test = False
configs = set(args.config)
# setup paths and directories
cmake_path = resolve_executable_path(args.cmake_path)
ctest_path = None if args.use_vstest else resolve_executable_path(
args.ctest_path)
build_dir = args.build_dir
script_dir = os.path.realpath(os.path.dirname(__file__))
source_dir = os.path.normpath(os.path.join(script_dir, "..", ".."))
# if using cuda, setup cuda paths and env vars
cuda_home, cudnn_home = setup_cuda_vars(args)
mpi_home = args.mpi_home
nccl_home = args.nccl_home
acl_home = args.acl_home
acl_libs = args.acl_libs
armnn_home = args.armnn_home
armnn_libs = args.armnn_libs
# if using tensorrt, setup tensorrt paths
tensorrt_home = setup_tensorrt_vars(args)
# if using migraphx, setup migraphx paths
migraphx_home = setup_migraphx_vars(args)
# if using rocm, setup rocm paths
rocm_home = setup_rocm_build(args, configs)
os.makedirs(build_dir, exist_ok=True)
log.info("Build started")
if args.update:
cmake_extra_args = []
path_to_protoc_exe = args.path_to_protoc_exe
if not args.skip_submodule_sync:
update_submodules(source_dir)
if is_windows():
if args.cmake_generator == 'Ninja':
if args.x86 or args.arm or args.arm64:
raise BuildError(
"To cross-compile with Ninja, load the toolset "
"environment for the target processor (e.g. Cross "
"Tools Command Prompt for VS)")
cmake_extra_args = ['-G', args.cmake_generator]
elif args.x86:
cmake_extra_args = [
'-A', 'Win32', '-T', 'host=x64', '-G', args.cmake_generator
]
elif args.arm or args.arm64:
# Cross-compiling for ARM(64) architecture
# First build protoc for host to use during cross-compilation
if path_to_protoc_exe is None:
path_to_protoc_exe = build_protoc_for_host(
cmake_path, source_dir, build_dir, args)
if args.arm:
cmake_extra_args = ['-A', 'ARM']
else:
cmake_extra_args = ['-A', 'ARM64']
cmake_extra_args += ['-G', args.cmake_generator]
# Cannot test on host build machine for cross-compiled
# builds (Override any user-defined behaviour for test if any)
if args.test:
log.warning(
"Cannot test on host build machine for cross-compiled "
"ARM(64) builds. Will skip test running after build.")
args.test = False
else:
if (args.msvc_toolset == '14.16' and
args.cmake_generator == 'Visual Studio 16 2019'):
# CUDA 10.0 requires _MSC_VER >= 1700 and
# _MSC_VER < 1920, aka Visual Studio version
# in [2012, 2019). In VS2019, we have to use
# Side-by-side minor version MSVC toolsets from
# Visual Studio 2017 14.16 is MSVC version
# 141 is MSVC Toolset Version
# Cuda VS extension should be installed to
# C:\Program Files (x86)\Microsoft Visual
# Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\BuildCustomizations # noqa
toolset = 'v141,host=x64,version=' + args.msvc_toolset
elif args.msvc_toolset:
toolset = 'host=x64,version=' + args.msvc_toolset
else:
toolset = 'host=x64'
if args.cuda_version:
toolset += ',cuda=' + args.cuda_version
cmake_extra_args = [
'-A', 'x64', '-T', toolset, '-G', args.cmake_generator
]
if args.enable_windows_store:
cmake_extra_args.append(
'-DCMAKE_TOOLCHAIN_FILE=' + os.path.join(
source_dir, 'cmake', 'store_toolchain.cmake'))
if args.enable_wcos:
cmake_extra_args.append('-DCMAKE_USER_MAKE_RULES_OVERRIDE=wcos_rules_override.cmake')
elif args.cmake_generator is not None and not (is_macOS() and args.use_xcode):
cmake_extra_args += ['-G', args.cmake_generator]
elif is_macOS():
if args.use_xcode:
cmake_extra_args += ['-G', 'Xcode']
if not args.ios and not args.android and \
args.osx_arch == 'arm64' and platform.machine() == 'x86_64':
if args.test:
log.warning(
"Cannot test ARM64 build on X86_64. Will skip test running after build.")
args.test = False
if (args.android or args.ios or args.enable_windows_store
or is_cross_compiling_on_apple(args)) and args.path_to_protoc_exe is None:
# Cross-compiling for Android and iOS
path_to_protoc_exe = build_protoc_for_host(
cmake_path, source_dir, build_dir, args)
if is_ubuntu_1604():
if (args.arm or args.arm64):
raise BuildError(
"Only Windows ARM(64) cross-compiled builds supported "
"currently through this script")
if not is_docker() and not args.use_acl and not args.use_armnn:
install_python_deps()
if args.enable_pybind and is_windows():
install_python_deps(args.numpy_version)
if args.enable_onnx_tests:
setup_test_data(build_dir, configs)
if args.use_cuda and args.cuda_version is None:
if is_windows():
# cuda_version is used while generating version_info.py on Windows.
raise BuildError("cuda_version must be specified on Windows.")
else:
args.cuda_version = ""
generate_build_tree(
cmake_path, source_dir, build_dir, cuda_home, cudnn_home, rocm_home, mpi_home, nccl_home,
tensorrt_home, migraphx_home, acl_home, acl_libs, armnn_home, armnn_libs,
path_to_protoc_exe, configs, cmake_extra_defines, args, cmake_extra_args)
if args.clean:
clean_targets(cmake_path, build_dir, configs)
# if using DML, perform initial nuget package restore
setup_dml_build(args, cmake_path, build_dir, configs)
if args.build:
if args.parallel < 0:
raise BuildError("Invalid parallel job count: {}".format(args.parallel))
num_parallel_jobs = os.cpu_count() if args.parallel == 0 else args.parallel
build_targets(args, cmake_path, build_dir, configs, num_parallel_jobs, args.target)
if args.test:
run_onnxruntime_tests(args, source_dir, ctest_path, build_dir, configs)
# run nuphar python tests last, as it installs ONNX 1.5.0
if args.enable_pybind and not args.skip_onnx_tests and args.use_nuphar:
nuphar_run_python_tests(build_dir, configs)
# run node.js binding tests
if args.build_nodejs and not args.skip_nodejs_tests:
nodejs_binding_dir = os.path.normpath(os.path.join(source_dir, "nodejs"))
run_nodejs_tests(nodejs_binding_dir)
if args.build:
if args.build_wheel:
nightly_build = bool(os.getenv('NIGHTLY_BUILD') == '1')
build_python_wheel(
source_dir,
build_dir,
configs,
args.use_cuda,
args.use_dnnl,
args.use_tensorrt,
args.use_openvino,
args.use_nuphar,
args.use_vitisai,
args.use_acl,
args.use_armnn,
args.use_dml,
args.wheel_name_suffix,
args.enable_training,
nightly_build=nightly_build,
featurizers_build=args.use_featurizers,
use_ninja=(args.cmake_generator == 'Ninja')
)
if args.build_nuget:
build_nuget_package(
source_dir,
build_dir,
configs,
args.use_cuda,
args.use_openvino,
args.use_tensorrt,
args.use_dnnl,
args.use_nuphar
)
if args.test and args.build_nuget:
run_csharp_tests(
source_dir,
build_dir,
args.use_cuda,
args.use_openvino,
args.use_tensorrt,
args.use_dnnl)
if args.gen_doc and (args.build or args.test):
generate_documentation(source_dir, build_dir, configs)
if args.gen_api_doc and (args.build or args.test):
print('Generating Python doc for ORTModule...')
docbuild_dir = os.path.join(source_dir, 'tools', 'doc')
run_subprocess(['bash', 'builddoc.sh', os.path.dirname(sys.executable),
source_dir, build_dir, args.config[0]], cwd=docbuild_dir)
log.info("Build complete")
if __name__ == "__main__":
try:
sys.exit(main())
except BaseError as e:
log.error(str(e))
sys.exit(1)
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