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build.py
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build.py
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#!/usr/bin/env python3
# Copyright 2020-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import argparse
import os
import os.path
import multiprocessing
import pathlib
import platform
import stat
import subprocess
import sys
from inspect import getsourcefile
#
# Build Triton Inference Server.
#
# By default build.py builds the Triton Docker image, but can also be
# used to build without Docker. See docs/build.md and --help for more
# infomation.
#
# The TRITON_VERSION file indicates the Triton version and
# TRITON_VERSION_MAP is used to determine the corresponding container
# version and upstream container version (upstream containers are
# dependencies required by Triton). These versions may be overridden.
# Map from Triton version to corresponding container and component versions.
#
# triton version ->
# (triton container version,
# upstream container version,
# ORT version,
# ORT OpenVINO version (use None to disable OpenVINO in ORT),
# Standalone OpenVINO version,
# DCGM version,
# Conda version
# )
#
# Currently the OpenVINO versions used in ORT and standalone must
# match because of the way dlopen works with loading the backends. If
# different versions are used then one backend or the other will
# incorrectly load the other version of the openvino libraries.
#
TRITON_VERSION_MAP = {
'2.27.0dev': (
'22.10dev', # triton container
'22.08', # upstream container
'1.12.0', # ORT
'2022.1.0', # ORT OpenVINO
'2022.1.0', # Standalone OpenVINO
'2.2.9', # DCGM version
'py38_4.12.0') # Conda version.
}
CORE_BACKENDS = ['ensemble']
FLAGS = None
EXTRA_CORE_CMAKE_FLAGS = {}
OVERRIDE_CORE_CMAKE_FLAGS = {}
EXTRA_BACKEND_CMAKE_FLAGS = {}
OVERRIDE_BACKEND_CMAKE_FLAGS = {}
THIS_SCRIPT_DIR = os.path.dirname(os.path.abspath(getsourcefile(lambda: 0)))
def log(msg, force=False):
if force or not FLAGS.quiet:
try:
print(msg, file=sys.stderr)
except Exception:
print('<failed to log>', file=sys.stderr)
def log_verbose(msg):
if FLAGS.verbose:
log(msg, force=True)
def fail(msg):
fail_if(True, msg)
def fail_if(p, msg):
if p:
print('error: {}'.format(msg), file=sys.stderr)
sys.exit(1)
def target_platform():
if FLAGS.target_platform is not None:
return FLAGS.target_platform
return platform.system().lower()
def target_machine():
if FLAGS.target_machine is not None:
return FLAGS.target_machine
return platform.machine().lower()
def container_versions(version, container_version, upstream_container_version):
if container_version is None:
if version not in TRITON_VERSION_MAP:
fail('container version not known for {}'.format(version))
container_version = TRITON_VERSION_MAP[version][0]
if upstream_container_version is None:
if version not in TRITON_VERSION_MAP:
fail('upstream container version not known for {}'.format(version))
upstream_container_version = TRITON_VERSION_MAP[version][1]
return container_version, upstream_container_version
class BuildScript:
"""Utility class for writing build scripts"""
def __init__(self, filepath, desc=None, verbose=False):
self._filepath = filepath
self._file = open(self._filepath, "w")
self._verbose = verbose
self.header(desc)
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
def __del__(self):
self.close()
def close(self):
if self._file is not None:
if target_platform() == 'windows':
self.blankln()
self._file.write('}\n')
self._file.write('catch {\n')
self._file.write(' $_;\n')
self._file.write(' ExitWithCode 1;\n')
self._file.write('}\n')
"""Close the file"""
self._file.close()
self._file = None
st = os.stat(self._filepath)
os.chmod(self._filepath, st.st_mode | stat.S_IEXEC)
def blankln(self):
self._file.write('\n')
def commentln(self, cnt):
self._file.write('#' * cnt + '\n')
def comment(self, msg=''):
if not isinstance(msg, str):
try:
for m in msg:
self._file.write(f'# {msg}\n')
return
except TypeError:
pass
self._file.write(f'# {msg}\n')
def comment_verbose(self, msg=''):
if self._verbose:
self.comment(msg)
def header(self, desc=None):
if target_platform() != 'windows':
self._file.write('#!/usr/bin/env bash\n\n')
if desc is not None:
self.comment()
self.comment(desc)
self.comment()
self.blankln()
self.comment('Exit script immediately if any command fails')
if target_platform() == 'windows':
self._file.write('function ExitWithCode($exitcode) {\n')
self._file.write(' $host.SetShouldExit($exitcode)\n')
self._file.write(' exit $exitcode\n')
self._file.write('}\n')
self.blankln()
if self._verbose:
self._file.write('Set-PSDebug -Trace 1\n')
self.blankln()
self._file.write('try {\n')
else:
self._file.write('set -e\n')
if self._verbose:
self._file.write('set -x\n')
self.blankln()
def envvar_ref(self, v):
if target_platform() == 'windows':
return f'${{env:{v}}}'
return f'${{{v}}}'
def cmd(self, clist, check_exitcode=False):
if isinstance(clist, str):
self._file.write(f'{clist}\n')
else:
for c in clist:
self._file.write(f'{c} ')
self.blankln()
if check_exitcode:
if target_platform() == 'windows':
self._file.write('if ($LASTEXITCODE -ne 0) {\n')
self._file.write(
' Write-Output "exited with status code $LASTEXITCODE";\n')
self._file.write(' ExitWithCode 1;\n')
self._file.write('}\n')
def cwd(self, path):
if target_platform() == 'windows':
self.cmd(f'Set-Location -EV Err -EA Stop {path}')
else:
self.cmd(f'cd {path}')
def cp(self, src, dest):
if target_platform() == 'windows':
self.cmd(f'Copy-Item -EV Err -EA Stop {src} -Destination {dest}')
else:
self.cmd(f'cp {src} {dest}')
def mkdir(self, path):
if target_platform() == 'windows':
self.cmd(
f'New-Item -EV Err -EA Stop -ItemType Directory -Force -Path {path}'
)
else:
self.cmd(f'mkdir -p {pathlib.Path(path)}')
def rmdir(self, path):
if target_platform() == 'windows':
self.cmd(f'if (Test-Path -Path {path}) {{')
self.cmd(f' Remove-Item -EV Err -EA Stop -Recurse -Force {path}')
self.cmd('}')
else:
self.cmd(f'rm -fr {pathlib.Path(path)}')
def cpdir(self, src, dest):
if target_platform() == 'windows':
self.cmd(
f'Copy-Item -EV Err -EA Stop -Recurse {src} -Destination {dest}'
)
else:
self.cmd(f'cp -r {src} {dest}')
def tar(self, subdir, tar_filename):
if target_platform() == 'windows':
fail('unsupported operation: tar')
else:
self.cmd(f'tar zcf {tar_filename} {subdir}')
def cmake(self, args):
# Pass some additional envvars into cmake...
env_args = []
for k in ('TRT_VERSION', 'CMAKE_TOOLCHAIN_FILE',
'VCPKG_TARGET_TRIPLET'):
env_args += [f'"-D{k}={self.envvar_ref(k)}"']
self.cmd(f'cmake {" ".join(env_args)} {" ".join(args)}',
check_exitcode=True)
def makeinstall(self, target='install'):
if target_platform() == 'windows':
verbose_flag = '' if self._verbose else '-clp:ErrorsOnly'
self.cmd(
f'msbuild.exe -m:{FLAGS.build_parallel} {verbose_flag} -p:Configuration={FLAGS.build_type} {target}.vcxproj',
check_exitcode=True)
else:
verbose_flag = 'VERBOSE=1' if self._verbose else 'VERBOSE=0'
self.cmd(f'make -j{FLAGS.build_parallel} {verbose_flag} {target}')
def gitclone(self, repo, tag, subdir, org):
clone_dir = subdir
if not FLAGS.no_force_clone:
self.rmdir(clone_dir)
if target_platform() == 'windows':
self.cmd(f'if (-Not (Test-Path -Path {clone_dir})) {{')
else:
self.cmd(f'if [[ ! -e {clone_dir} ]]; then')
# If 'tag' starts with "pull/" then it must be of form
# "pull/<pr>/head". We just clone at "main" and then fetch the
# reference onto a new branch we name "tritonbuildref".
if tag.startswith("pull/"):
self.cmd(
f' git clone --recursive --depth=1 {org}/{repo}.git {subdir};',
check_exitcode=True)
self.cmd('}' if target_platform() == 'windows' else 'fi')
self.cwd(subdir)
self.cmd(f'git fetch origin {tag}:tritonbuildref',
check_exitcode=True)
self.cmd(f'git checkout tritonbuildref', check_exitcode=True)
else:
self.cmd(
f' git clone --recursive --single-branch --depth=1 -b {tag} {org}/{repo}.git {subdir};',
check_exitcode=True)
self.cmd('}' if target_platform() == 'windows' else 'fi')
def cmake_core_arg(name, type, value):
# Return cmake -D setting to set name=value for core build. Use
# command-line specified value if one is given.
if name in OVERRIDE_CORE_CMAKE_FLAGS:
value = OVERRIDE_CORE_CMAKE_FLAGS[name]
if type is None:
type = ''
else:
type = ':{}'.format(type)
return '"-D{}{}={}"'.format(name, type, value)
def cmake_core_enable(name, flag):
# Return cmake -D setting to set name=flag?ON:OFF for core
# build. Use command-line specified value for 'flag' if one is
# given.
if name in OVERRIDE_CORE_CMAKE_FLAGS:
value = OVERRIDE_CORE_CMAKE_FLAGS[name]
else:
value = 'ON' if flag else 'OFF'
return '"-D{}:BOOL={}"'.format(name, value)
def cmake_core_extra_args():
args = []
for k, v in EXTRA_CORE_CMAKE_FLAGS.items():
args.append('"-D{}={}"'.format(k, v))
return args
def cmake_backend_arg(backend, name, type, value):
# Return cmake -D setting to set name=value for backend build. Use
# command-line specified value if one is given.
if backend in OVERRIDE_BACKEND_CMAKE_FLAGS:
if name in OVERRIDE_BACKEND_CMAKE_FLAGS[backend]:
value = OVERRIDE_BACKEND_CMAKE_FLAGS[backend][name]
if type is None:
type = ''
else:
type = ':{}'.format(type)
return '"-D{}{}={}"'.format(name, type, value)
def cmake_backend_enable(backend, name, flag):
# Return cmake -D setting to set name=flag?ON:OFF for backend
# build. Use command-line specified value for 'flag' if one is
# given.
value = None
if backend in OVERRIDE_BACKEND_CMAKE_FLAGS:
if name in OVERRIDE_BACKEND_CMAKE_FLAGS[backend]:
value = OVERRIDE_BACKEND_CMAKE_FLAGS[backend][name]
if value is None:
value = 'ON' if flag else 'OFF'
return '"-D{}:BOOL={}"'.format(name, value)
def cmake_backend_extra_args(backend):
args = []
if backend in EXTRA_BACKEND_CMAKE_FLAGS:
for k, v in EXTRA_BACKEND_CMAKE_FLAGS[backend].items():
args.append('"-D{}={}"'.format(k, v))
return args
def cmake_repoagent_arg(name, type, value):
# For now there is no override for repo-agents
if type is None:
type = ''
else:
type = ':{}'.format(type)
return '"-D{}{}={}"'.format(name, type, value)
def cmake_repoagent_enable(name, flag):
# For now there is no override for repo-agents
value = 'ON' if flag else 'OFF'
return '"-D{}:BOOL={}"'.format(name, value)
def cmake_repoagent_extra_args():
# For now there is no extra args for repo-agents
args = []
return args
def core_cmake_args(components, backends, cmake_dir, install_dir):
cargs = [
cmake_core_arg('CMAKE_BUILD_TYPE', None, FLAGS.build_type),
cmake_core_arg('CMAKE_INSTALL_PREFIX', 'PATH', install_dir),
cmake_core_arg('TRITON_VERSION', 'STRING', FLAGS.version),
cmake_core_arg('TRITON_COMMON_REPO_TAG', 'STRING',
components['common']),
cmake_core_arg('TRITON_CORE_REPO_TAG', 'STRING', components['core']),
cmake_core_arg('TRITON_BACKEND_REPO_TAG', 'STRING',
components['backend']),
cmake_core_arg('TRITON_THIRD_PARTY_REPO_TAG', 'STRING',
components['thirdparty'])
]
cargs.append(
cmake_core_enable('TRITON_ENABLE_LOGGING', FLAGS.enable_logging))
cargs.append(cmake_core_enable('TRITON_ENABLE_STATS', FLAGS.enable_stats))
cargs.append(
cmake_core_enable('TRITON_ENABLE_METRICS', FLAGS.enable_metrics))
cargs.append(
cmake_core_enable('TRITON_ENABLE_METRICS_GPU',
FLAGS.enable_gpu_metrics))
cargs.append(
cmake_core_enable('TRITON_ENABLE_METRICS_CPU',
FLAGS.enable_cpu_metrics))
cargs.append(
cmake_core_enable('TRITON_ENABLE_TRACING', FLAGS.enable_tracing))
cargs.append(cmake_core_enable('TRITON_ENABLE_NVTX', FLAGS.enable_nvtx))
cargs.append(cmake_core_enable('TRITON_ENABLE_GPU', FLAGS.enable_gpu))
cargs.append(
cmake_core_arg('TRITON_MIN_COMPUTE_CAPABILITY', None,
FLAGS.min_compute_capability))
cargs.append(
cmake_core_enable('TRITON_ENABLE_MALI_GPU', FLAGS.enable_mali_gpu))
cargs.append(
cmake_core_enable('TRITON_ENABLE_GRPC', 'grpc' in FLAGS.endpoint))
cargs.append(
cmake_core_enable('TRITON_ENABLE_HTTP', 'http' in FLAGS.endpoint))
cargs.append(
cmake_core_enable('TRITON_ENABLE_SAGEMAKER', 'sagemaker'
in FLAGS.endpoint))
cargs.append(
cmake_core_enable('TRITON_ENABLE_VERTEX_AI', 'vertex-ai'
in FLAGS.endpoint))
cargs.append(
cmake_core_enable('TRITON_ENABLE_GCS', 'gcs' in FLAGS.filesystem))
cargs.append(cmake_core_enable('TRITON_ENABLE_S3', 's3'
in FLAGS.filesystem))
cargs.append(
cmake_core_enable('TRITON_ENABLE_AZURE_STORAGE', 'azure_storage'
in FLAGS.filesystem))
cargs.append(
cmake_core_enable('TRITON_ENABLE_ENSEMBLE', 'ensemble' in backends))
cargs.append(
cmake_core_enable('TRITON_ENABLE_TENSORRT', 'tensorrt' in backends))
cargs += cmake_core_extra_args()
cargs.append(cmake_dir)
return cargs
def repoagent_repo(ra):
return '{}_repository_agent'.format(ra)
def repoagent_cmake_args(images, components, ra, install_dir):
args = []
cargs = args + [
cmake_repoagent_arg('CMAKE_BUILD_TYPE', None, FLAGS.build_type),
cmake_repoagent_arg('CMAKE_INSTALL_PREFIX', 'PATH', install_dir),
cmake_repoagent_arg('TRITON_COMMON_REPO_TAG', 'STRING',
components['common']),
cmake_repoagent_arg('TRITON_CORE_REPO_TAG', 'STRING',
components['core'])
]
cargs.append(cmake_repoagent_enable('TRITON_ENABLE_GPU', FLAGS.enable_gpu))
cargs += cmake_repoagent_extra_args()
cargs.append('..')
return cargs
def backend_repo(be):
if (be == 'tensorflow1') or (be == 'tensorflow2'):
return 'tensorflow_backend'
return '{}_backend'.format(be)
def backend_cmake_args(images, components, be, install_dir, library_paths):
if be == 'onnxruntime':
args = onnxruntime_cmake_args(images, library_paths)
elif be == 'openvino':
args = openvino_cmake_args()
elif be == 'tensorflow1':
args = tensorflow_cmake_args(1, images, library_paths)
elif be == 'tensorflow2':
args = tensorflow_cmake_args(2, images, library_paths)
elif be == 'python':
args = []
elif be == 'dali':
args = dali_cmake_args()
elif be == 'pytorch':
args = pytorch_cmake_args(images)
elif be == 'armnn_tflite':
args = armnn_tflite_cmake_args()
elif be == 'fil':
args = fil_cmake_args(images)
elif be == 'fastertransformer':
args = []
elif be == 'tensorrt':
args = tensorrt_cmake_args()
else:
args = []
cargs = args + [
cmake_backend_arg(be, 'CMAKE_BUILD_TYPE', None, FLAGS.build_type),
cmake_backend_arg(be, 'CMAKE_INSTALL_PREFIX', 'PATH', install_dir),
cmake_backend_arg(be, 'TRITON_COMMON_REPO_TAG', 'STRING',
components['common']),
cmake_backend_arg(be, 'TRITON_CORE_REPO_TAG', 'STRING',
components['core']),
cmake_backend_arg(be, 'TRITON_BACKEND_REPO_TAG', 'STRING',
components['backend'])
]
cargs.append(cmake_backend_enable(be, 'TRITON_ENABLE_GPU',
FLAGS.enable_gpu))
cargs.append(
cmake_backend_enable(be, 'TRITON_ENABLE_MALI_GPU',
FLAGS.enable_mali_gpu))
cargs.append(
cmake_backend_enable(be, 'TRITON_ENABLE_STATS', FLAGS.enable_stats))
cargs.append(
cmake_backend_enable(be, 'TRITON_ENABLE_METRICS', FLAGS.enable_metrics))
cargs += cmake_backend_extra_args(be)
cargs.append('..')
return cargs
def pytorch_cmake_args(images):
# If platform is jetpack do not use docker based build
if target_platform() == 'jetpack':
if 'pytorch' not in library_paths:
raise Exception(
"Must specify library path for pytorch using --library-paths=pytorch:<path_to_pytorch>"
)
pt_lib_path = library_paths['pytorch'] + "/lib"
pt_include_paths = ""
for suffix in [
'include/torch', 'include/torch/torch/csrc/api/include',
'include/torchvision'
]:
pt_include_paths += library_paths['pytorch'] + '/' + suffix + ';'
cargs = [
cmake_backend_arg('pytorch', 'TRITON_PYTORCH_INCLUDE_PATHS', None,
pt_include_paths),
cmake_backend_arg('pytorch', 'TRITON_PYTORCH_LIB_PATHS', None,
pt_lib_path),
]
else:
if "pytorch" in images:
image = images["pytorch"]
else:
image = 'nvcr.io/nvidia/pytorch:{}-py3'.format(
FLAGS.upstream_container_version)
cargs = [
cmake_backend_arg('pytorch', 'TRITON_PYTORCH_DOCKER_IMAGE', None,
image),
]
if FLAGS.enable_gpu:
cargs.append(
cmake_backend_enable('pytorch',
'TRITON_PYTORCH_ENABLE_TORCHTRT', True))
cargs.append(
cmake_backend_enable('pytorch', 'TRITON_ENABLE_NVTX',
FLAGS.enable_nvtx))
return cargs
def onnxruntime_cmake_args(images, library_paths):
cargs = [
cmake_backend_arg('onnxruntime', 'TRITON_BUILD_ONNXRUNTIME_VERSION',
None, TRITON_VERSION_MAP[FLAGS.version][2])
]
# TRITON_ENABLE_GPU is already set for all backends in backend_cmake_args()
if FLAGS.enable_gpu:
cargs.append(
cmake_backend_enable('onnxruntime',
'TRITON_ENABLE_ONNXRUNTIME_TENSORRT', True))
# If platform is jetpack do not use docker based build
if target_platform() == 'jetpack':
if 'onnxruntime' not in library_paths:
raise Exception(
"Must specify library path for onnxruntime using --library-paths=onnxruntime:<path_to_onnxruntime>"
)
ort_lib_path = library_paths['onnxruntime'] + "/lib"
ort_include_path = library_paths['onnxruntime'] + "/include"
cargs += [
cmake_backend_arg('onnxruntime', 'TRITON_ONNXRUNTIME_INCLUDE_PATHS',
None, ort_include_path),
cmake_backend_arg('onnxruntime', 'TRITON_ONNXRUNTIME_LIB_PATHS',
None, ort_lib_path),
cmake_backend_enable('onnxruntime',
'TRITON_ENABLE_ONNXRUNTIME_OPENVINO', False)
]
else:
if target_platform() == 'windows':
if 'base' in images:
cargs.append(
cmake_backend_arg('onnxruntime', 'TRITON_BUILD_CONTAINER',
None, images['base']))
else:
if 'base' in images:
cargs.append(
cmake_backend_arg('onnxruntime', 'TRITON_BUILD_CONTAINER',
None, images['base']))
else:
cargs.append(
cmake_backend_arg('onnxruntime',
'TRITON_BUILD_CONTAINER_VERSION', None,
TRITON_VERSION_MAP[FLAGS.version][1]))
if ((target_machine() != 'aarch64') and
(TRITON_VERSION_MAP[FLAGS.version][3] is not None)):
cargs.append(
cmake_backend_enable('onnxruntime',
'TRITON_ENABLE_ONNXRUNTIME_OPENVINO',
True))
cargs.append(
cmake_backend_arg(
'onnxruntime',
'TRITON_BUILD_ONNXRUNTIME_OPENVINO_VERSION', None,
TRITON_VERSION_MAP[FLAGS.version][3]))
return cargs
def openvino_cmake_args():
cargs = [
cmake_backend_arg('openvino', 'TRITON_BUILD_OPENVINO_VERSION', None,
TRITON_VERSION_MAP[FLAGS.version][4])
]
if target_platform() == 'windows':
if 'base' in images:
cargs.append(
cmake_backend_arg('openvino', 'TRITON_BUILD_CONTAINER', None,
images['base']))
else:
if 'base' in images:
cargs.append(
cmake_backend_arg('openvino', 'TRITON_BUILD_CONTAINER', None,
images['base']))
else:
cargs.append(
cmake_backend_arg('openvino', 'TRITON_BUILD_CONTAINER_VERSION',
None, TRITON_VERSION_MAP[FLAGS.version][1]))
return cargs
def tensorrt_cmake_args():
cargs = [
cmake_backend_enable('tensorrt', 'TRITON_ENABLE_NVTX',
FLAGS.enable_nvtx),
]
if target_platform() == 'windows':
cargs.append(
cmake_backend_arg('tensorrt', 'TRITON_TENSORRT_INCLUDE_PATHS', None,
'c:/TensorRT/include'))
return cargs
def tensorflow_cmake_args(ver, images, library_paths):
backend_name = "tensorflow{}".format(ver)
# If platform is jetpack do not use docker images
extra_args = []
if target_platform() == 'jetpack':
if backend_name in library_paths:
extra_args = [
cmake_backend_arg(backend_name, 'TRITON_TENSORFLOW_LIB_PATHS',
None, library_paths[backend_name])
]
else:
raise Exception(
f"Must specify library path for {backend_name} using --library-paths={backend_name}:<path_to_{backend_name}>"
)
else:
# If a specific TF image is specified use it, otherwise pull from NGC.
if backend_name in images:
image = images[backend_name]
else:
image = 'nvcr.io/nvidia/tensorflow:{}-tf{}-py3'.format(
FLAGS.upstream_container_version, ver)
extra_args = [
cmake_backend_arg(backend_name, 'TRITON_TENSORFLOW_DOCKER_IMAGE',
None, image)
]
return [
cmake_backend_arg(backend_name, 'TRITON_TENSORFLOW_VERSION', None, ver)
] + extra_args
def dali_cmake_args():
return [
cmake_backend_enable('dali', 'TRITON_DALI_SKIP_DOWNLOAD', False),
]
def fil_cmake_args(images):
cargs = [cmake_backend_enable('fil', 'TRITON_FIL_DOCKER_BUILD', True)]
if 'base' in images:
cargs.append(
cmake_backend_arg('fil', 'TRITON_BUILD_CONTAINER', None,
images['base']))
else:
cargs.append(
cmake_backend_arg('fil', 'TRITON_BUILD_CONTAINER_VERSION', None,
TRITON_VERSION_MAP[FLAGS.version][1]))
return cargs
def armnn_tflite_cmake_args():
return [
cmake_backend_arg('armnn_tflite', 'JOBS', None,
multiprocessing.cpu_count()),
]
def install_dcgm_libraries(dcgm_version, target_machine):
if dcgm_version == '':
fail(
'unable to determine default repo-tag, DCGM version not known for {}'
.format(FLAGS.version))
return ''
else:
if target_machine == 'aarch64':
return '''
ENV DCGM_VERSION {}
# Install DCGM. Steps from https://developer.nvidia.com/dcgm#Downloads
RUN curl -o /tmp/cuda-keyring.deb \
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/cuda-keyring_1.0-1_all.deb \
&& apt install /tmp/cuda-keyring.deb && rm /tmp/cuda-keyring.deb && \
apt-get update && apt-get install -y datacenter-gpu-manager=1:{}
'''.format(dcgm_version, dcgm_version)
else:
return '''
ENV DCGM_VERSION {}
# Install DCGM. Steps from https://developer.nvidia.com/dcgm#Downloads
RUN curl -o /tmp/cuda-keyring.deb \
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb \
&& apt install /tmp/cuda-keyring.deb && rm /tmp/cuda-keyring.deb && \
apt-get update && apt-get install -y datacenter-gpu-manager=1:{}
'''.format(dcgm_version, dcgm_version)
def install_miniconda(conda_version, target_machine):
if target_machine == "arm64":
# This branch used for the case when linux container builds on MacOS with ARM chip
# macos arm arch names "arm64" when in linux it's names "aarch64".
# So we just replace the architecture to able find right conda version for Linux
target_machine = "aarch64"
if conda_version == '':
fail(
'unable to determine default repo-tag, CONDA version not known for {}'
.format(FLAGS.version))
miniconda_url = f"https://repo.anaconda.com/miniconda/Miniconda3-{conda_version}-Linux-{target_machine}.sh"
if target_machine == 'x86_64':
sha_sum = "3190da6626f86eee8abf1b2fd7a5af492994eb2667357ee4243975cdbb175d7a"
else:
sha_sum = "0c20f121dc4c8010032d64f8e9b27d79e52d28355eb8d7972eafc90652387777"
return f'''
RUN mkdir -p /opt/
RUN wget "{miniconda_url}" -O miniconda.sh -q && \
echo "{sha_sum}" "miniconda.sh" > shasum && \
sha256sum -c ./shasum && \
sh miniconda.sh -b -p /opt/conda && \
rm miniconda.sh shasum && \
find /opt/conda/ -follow -type f -name '*.a' -delete && \
find /opt/conda/ -follow -type f -name '*.js.map' -delete && \
/opt/conda/bin/conda clean -afy
ENV PATH /opt/conda/bin:${{PATH}}
'''
def create_dockerfile_buildbase(ddir, dockerfile_name, argmap):
df = '''
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
df += '''
FROM ${BASE_IMAGE}
ARG TRITON_VERSION
ARG TRITON_CONTAINER_VERSION
'''
# Install the windows- or linux-specific buildbase dependencies
if target_platform() == 'windows':
df += '''
SHELL ["cmd", "/S", "/C"]
'''
else:
df += '''
# Ensure apt-get won't prompt for selecting options
ENV DEBIAN_FRONTEND=noninteractive
# libcurl4-openSSL-dev is needed for GCS
# python3-dev is needed by Torchvision
# python3-pip and libarchive-dev is needed by python backend
# uuid-dev and pkg-config is needed for Azure Storage
# scons is needed for armnn_tflite backend build dep
RUN apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
autoconf \
automake \
build-essential \
docker.io \
git \
libre2-dev \
libssl-dev \
libtool \
libboost-dev \
libcurl4-openssl-dev \
libb64-dev \
patchelf \
python3-dev \
python3-pip \
python3-setuptools \
rapidjson-dev \
scons \
software-properties-common \
unzip \
wget \
zlib1g-dev \
libarchive-dev \
pkg-config \
uuid-dev \
libnuma-dev && \
rm -rf /var/lib/apt/lists/*
RUN pip3 install --upgrade pip && \
pip3 install --upgrade wheel setuptools docker
# Server build requires recent version of CMake (FetchContent required)
RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | \
gpg --dearmor - | \
tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \
apt-add-repository 'deb https://apt.kitware.com/ubuntu/ focal main' && \
apt-get update && \
apt-get install -y --no-install-recommends \
cmake-data=3.21.1-0kitware1ubuntu20.04.1 cmake=3.21.1-0kitware1ubuntu20.04.1
'''
if FLAGS.enable_gpu:
df += install_dcgm_libraries(argmap['DCGM_VERSION'],
target_machine())
df += '''
ENV TRITON_SERVER_VERSION ${TRITON_VERSION}
ENV NVIDIA_TRITON_SERVER_VERSION ${TRITON_CONTAINER_VERSION}
'''
# Copy in the triton source. We remove existing contents first in
# case the FROM container has something there already.
if target_platform() == 'windows':
df += '''
WORKDIR /workspace
RUN rmdir /S/Q * || exit 0
COPY . .
'''
else:
df += '''
WORKDIR /workspace
RUN rm -fr *
COPY . .
ENTRYPOINT []
'''
# Install miniconda required for the DALI backend.
if target_platform() != 'windows':
df += install_miniconda(argmap['CONDA_VERSION'], target_machine())
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def create_dockerfile_cibase(ddir, dockerfile_name, argmap):
df = '''
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
df += '''
FROM ${BASE_IMAGE}
ARG TRITON_VERSION
ARG TRITON_CONTAINER_VERSION
COPY build/ci /workspace
WORKDIR /workspace
ENV TRITON_SERVER_VERSION ${TRITON_VERSION}
ENV NVIDIA_TRITON_SERVER_VERSION ${TRITON_CONTAINER_VERSION}
'''
with open(os.path.join(ddir, dockerfile_name), "w") as dfile:
dfile.write(df)
def create_dockerfile_linux(ddir, dockerfile_name, argmap, backends, repoagents,
endpoints):
df = '''
ARG TRITON_VERSION={}
ARG TRITON_CONTAINER_VERSION={}
ARG BASE_IMAGE={}
'''.format(argmap['TRITON_VERSION'], argmap['TRITON_CONTAINER_VERSION'],
argmap['BASE_IMAGE'])
# PyTorch, TensorFlow 1 and TensorFlow 2 backends need extra CUDA and other
# dependencies during runtime that are missing in the CPU-only base container.
# These dependencies must be copied from the Triton Min image.
if not FLAGS.enable_gpu and (('pytorch' in backends) or
('tensorflow1' in backends) or
('tensorflow2' in backends)):
df += '''
############################################################################
## Triton Min image
############################################################################
FROM {} AS min_container
'''.format(argmap['GPU_BASE_IMAGE'])
df += '''
############################################################################
## Production stage: Create container with just inference server executable
############################################################################
FROM ${BASE_IMAGE}
'''
df += dockerfile_prepare_container_linux(argmap, backends, FLAGS.enable_gpu,
target_machine())
df += '''
WORKDIR /opt
COPY --chown=1000:1000 build/install tritonserver
WORKDIR /opt/tritonserver
COPY --chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf .
'''
if not FLAGS.no_core_build:
# Add feature labels for SageMaker endpoint
if 'sagemaker' in endpoints:
df += '''
LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
COPY --chown=1000:1000 docker/sagemaker/serve /usr/bin/.
'''
# This is required since libcublasLt.so is not present during the build
# stage of the PyTorch backend
if not FLAGS.enable_gpu and ('pytorch' in backends):
df += '''
RUN patchelf --add-needed /usr/local/cuda/lib64/stubs/libcublasLt.so.11 backends/pytorch/libtorch_cuda.so
'''
with open(os.path.join(ddir, dockerfile_name), "w") as dfile: