提交 c01adb5e 编写于 作者: G guru4elephant

add serving server

上级 7f5d653f
if (CLIENT_ONLY)
file(GLOB_RECURSE SERVING_CLIENT_PY_FILES serving_client/*.py)
set(PY_FILES ${SERVING_CLIENT_PY_FILES})
SET(PACKAGE_NAME "serving_client")
set(SETUP_LOG_FILE "setup.py.log")
set(SETUP_LOG_FILE "setup.py.client.log")
endif()
if (NOT CLIENT_ONLY)
file(GLOB_RECURSE SERVING_SERVER_PY_FILES serving_server/*.py)
set(PY_FILES ${SERVING_SERVER_PY_FILES})
SET(PACKAGE_NAME "serving_server")
set(SETUP_LOG_FILE "setup.py.server.log")
endif()
if (CLIENT_ONLY)
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.client.in
${CMAKE_CURRENT_BINARY_DIR}/setup.py)
endif()
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.in
if (NOT CLIENT_ONLY)
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.server.in
${CMAKE_CURRENT_BINARY_DIR}/setup.py)
endif()
set(SERVING_CLIENT_CORE ${PADDLE_SERVING_BINARY_DIR}/core/general-client/serving_client.so)
set(SERVING_SERVER_CORE ${PADDLE_SERVING_BINARY_DIR}/core/predictor/serving_server.so)
message("python env: " ${py_env})
if (CLIENT_ONLY)
add_custom_command(
OUTPUT ${PADDLE_SERVING_BINARY_DIR}/.timestamp
COMMAND cp -r ${CMAKE_CURRENT_SOURCE_DIR}/paddle_serving/ ${PADDLE_SERVING_BINARY_DIR}/python/
COMMAND ${CMAKE_COMMAND} -E copy ${PADDLE_SERVING_BINARY_DIR}/core/general-client/serving_client.so ${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/serving_client/
COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
DEPENDS ${SERVING_CLIENT_CORE} sdk_configure_py_proto ${PY_FILES})
add_custom_target(paddle_python ALL DEPENDS serving_client ${PADDLE_SERVING_BINARY_DIR}/.timestamp)
endif()
if (NOT CLIENT_ONLY)
add_custom_command(
OUTPUT ${PADDLE_SERVING_BINARY_DIR}/.timestamp
COMMAND cp -r ${CMAKE_CURRENT_SOURCE_DIR}/paddle_serving/ ${PADDLE_SERVING_BINARY_DIR}/python/
COMMAND ${CMAKE_COMMAND} -E copy ${PADDLE_SERVING_BINARY_DIR}/core/predictor/serving_server.so ${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/serving_server/
COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
DEPENDS ${SERVING_SERVER_CORE} server_config_py_proto ${PY_FILES})
add_custom_target(paddle_python ALL DEPENDS serving_server ${PADDLE_SERVING_BINARY_DIR}/.timestamp)
endif()
set(SERVING_CLIENT_PYTHON_PACKAGE_DIR ${CMAKE_CURRENT_BINARY_DIR}/dist/)
set(SERVING_SERVER_PYTHON_PACKAGE_DIR ${CMAKE_CURRENT_BINARY_DIR}/dist/)
if (CLIENT_ONLY)
install(DIRECTORY ${SERVING_CLIENT_PYTHON_PACKAGE_DIR}
DESTINATION opt/serving_client/share/wheels
)
endif()
if (NOT CLIENT_ONLY)
install(DIRECTORY ${SERVING_SERVER_PYTHON_PACKAGE_DIR}
DESTINATION opt/serving_server/share/wheels
)
endif()
find_program(PATCHELF_EXECUTABLE patchelf)
if(NOT PATCHELF_EXECUTABLE)
......
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..proto import server_configure_pb2 as server_sdk
class OpMaker(object):
def __init__(self):
self.op_dict = {"general_model":"GeneralModelOp",
"general_reader":"GeneralReaderOp",
"general_single_kv":"GeneralSingleKVOp",
"general_dist_kv":"GeneralDistKVOp"}
def create(self, name, inputs=[], outputs=[]):
if name not in self.op_dict:
raise Exception("Op name {} is not supported right now".format(name))
node = server_sdk.DAGNode()
node.name = "{}_op".format(name)
node.type = self.op_dict[name]
return node
class OpSeqMaker(object):
def __init__(self):
self.workflow = server_sdk.Workflow()
self.workflow.name = "workflow1"
self.workflow.workflow_type = "Sequence"
def add_op(self, node):
self.workflow.nodes.extend([node])
def get_op_sequence(self):
workflow_conf = server_sdk.WorkflowConf()
workflow_conf.workflows.extend([self.workflow])
return workflow_conf
class Server(object):
def __init__(self):
self.server_handle_ = None
self.infer_service_conf = None
self.model_toolkit_conf = None
self.engine = None
def set_op_sequence(self, op_seq):
self.workflow_conf = op_seq
def _prepare_engine(self, model_config_path, device):
if self.model_toolkit_conf == None:
self.model_toolkit_conf = server_sdk.ModelToolkitConf()
if self.engine == None:
self.engine = server_sdk.EngineDesc()
self.engine.name = "general_model"
self.engine.reloadable_type = "tiemstamp_ne"
self.engine.runtime_thread_num = 0
self.engine.batch_infer_size = 0
self.engine.enable_batch_align = 0
self.engine.model_data_path = model_path
if device == "cpu":
self.engine.type = "FLUID_CPU_ANALYSIS_DIR"
elif device == "gpu":
self.engine.type = "FLUID_GPU_ANALYSIS_DIR"
self.model_toolkit_conf.engines.extend([engine])
def _prepare_infer_service(self, port):
if self.infer_service_conf == None:
self.infer_service_conf = server_sdk.InferServiceConf()
self.infer_service_conf.port = port
infer_service = server_sdk.InferService()
infer_service.name = "GeneralModelService"
infer_service.workflows.extend(["workflow1"])
self.infer_service_conf.services.extend([infer_service])
def _prepare_resource(self, workdir):
if self.resource_conf == None:
self.resource_conf = server_sdk.ResourceConf()
self.resource_conf.model_toolkit_path = workdir
self.resource_conf.model_toolkit_file = "server_model_toolkit.prototxt"
def _write_pb_str(self, filepath, pb_obj):
with open(filepath, "w") as fout:
fout.write(str(pb_obj))
def load_model_config(self, path):
self.config_file = "{}/inference.conf".format(path)
# check config here
def prepare_server(self, port=9292, device="cpu", workdir=None):
if workdir == None:
workdir = "./tmp"
os.system("mkdir {}".format(workdir))
self._prepare_resource(workdir)
self._prepare_engine(self.config_file, device)
self._prepare_infer_service(port)
self.workdir = workdir
infer_service_fn = "{}/server_infer_service.prototxt".format(workdir)
workflow_fn = "{}/server_workflow.prototxt".format(workdir)
resource_fn = "{}/server_resource.prototxt".format(workdir)
model_toolkit_fn = "{}/server_model_toolkit.prototxt".format(workdir)
self._write_pb_str(infer_service_fn, self.infer_service_conf)
self._write_pb_str(workflow_fn, self.workflow_conf)
self._write_pb_str(resource_fn, self.resource_conf)
self._write_pb_str(model_toolkit_fn, self.model_toolkit_conf)
def run_server(self):
# just run server with system command
os.system("./pdserving {}".format(self.workdir))
......@@ -13,4 +13,5 @@
# limitations under the License.
""" Paddle Serving Client version string """
serving_client_version = "0.1.0"
serving_server_version = "0.1.0"
module_proto_version = "0.1.0"
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Setup for pip package."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import platform
from setuptools import setup, Distribution, Extension
from setuptools import find_packages
from setuptools import setup
from paddle_serving.version import serving_client_version
def python_version():
return [int(v) for v in platform.python_version().split(".")]
max_version, mid_version, min_version = python_version()
REQUIRED_PACKAGES = [
'six >= 1.10.0', 'protobuf >= 3.1.0','paddlepaddle'
]
packages=['paddle_serving',
'paddle_serving.serving_client',
'paddle_serving.proto',
'paddle_serving.io']
package_data={'paddle_serving.serving_client': ['serving_client.so']}
package_dir={'paddle_serving.serving_client':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/serving_client',
'paddle_serving.proto':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/proto',
'paddle_serving.io':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/io'}
setup(
name='paddle-serving-client',
version=serving_client_version.replace('-', ''),
description=
('Paddle Serving Package for saved model with PaddlePaddle'),
url='https://github.com/PaddlePaddle/Serving',
author='PaddlePaddle Author',
author_email='guru4elephant@gmail.com',
install_requires=REQUIRED_PACKAGES,
packages=packages,
package_data=package_data,
package_dir=package_dir,
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
license='Apache 2.0',
keywords=('paddle-serving serving-client deployment industrial easy-to-use'))
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Setup for pip package."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import platform
from setuptools import setup, Distribution, Extension
from setuptools import find_packages
from setuptools import setup
from paddle_serving.version import serving_client_version
from paddle_serving.version import serving_server_version
def python_version():
return [int(v) for v in platform.python_version().split(".")]
max_version, mid_version, min_version = python_version()
REQUIRED_PACKAGES = [
'six >= 1.10.0', 'protobuf >= 3.1.0','paddlepaddle'
]
packages=['paddle_serving',
'paddle_serving.serving_server',
'paddle_serving.proto',
'paddle_serving.io']
package_data={'paddle_serving.serving_server': ['serving_server.so']}
package_dir={'paddle_serving.serving_server':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/serving_server',
'paddle_serving.proto':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/proto',
'paddle_serving.io':
'${PADDLE_SERVING_BINARY_DIR}/python/paddle_serving/io'}
setup(
name='paddle-serving-server',
version=serving_server_version.replace('-', ''),
description=
('Paddle Serving Package for saved model with PaddlePaddle'),
url='https://github.com/PaddlePaddle/Serving',
author='PaddlePaddle Author',
author_email='guru4elephant@gmail.com',
install_requires=REQUIRED_PACKAGES,
packages=packages,
package_data=package_data,
package_dir=package_dir,
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
license='Apache 2.0',
keywords=('paddle-serving serving-server deployment industrial easy-to-use'))
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