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PaddleDetection
提交 47aaba52 编写于 作者: Y yi.wu
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Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into fix1678

上级 cc82c275 e9d839db
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Showing with 126 addition and 329 deletion
.gitignore
浏览文件 @ 47aaba52
......@@ -7,6 +7,7 @@ build/
.project
.cproject
.pydevproject
.settings/
Makefile
.test_env/
third_party/
......
CMakeLists.txt
浏览文件 @ 47aaba52
......@@ -40,7 +40,7 @@ option(WITH_RDMA "Compile PaddlePaddle with RDMA support" OFF)
option(WITH_TIMER "Compile PaddlePaddle with stats timer" OFF)
option(WITH_PROFILER "Compile PaddlePaddle with GPU profiler" OFF)
option(WITH_DOC "Compile PaddlePaddle with documentation" OFF)
option(ON_COVERALLS "Compile PaddlePaddle with code coverage" OFF)
option(WITH_COVERAGE "Compile PaddlePaddle with code coverage" OFF)
option(COVERALLS_UPLOAD "Package code coverage data to coveralls" OFF)
option(ON_TRAVIS "Exclude special unit test on Travis CI" OFF)
......@@ -82,14 +82,21 @@ include_directories("${PROJ_ROOT}/paddle/cuda/include")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/proto")
set(EXTERNAL_LIBS
# have not include gtest here.
${GFLAGS_LIBRARIES}
${GLOG_LIBRARIES}
${CBLAS_LIBRARIES}
${PROTOBUF_LIBRARY}
${ZLIB_LIBRARIES}
${PYTHON_LIBRARIES}
)
if(WITH_GPU)
list(APPEND EXTERNAL_LIB ${CUDA_LIBRARIES} ${CUDA_rt_LIBRARY})
if(NOT WITH_DSO)
list(APPEND EXTERNAL_LIB ${CUDNN_LIBRARY} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_curand_LIBRARY})
endif(NOT WITH_DSO)
endif(WITH_GPU)
add_subdirectory(proto)
add_subdirectory(paddle)
add_subdirectory(python)
......
cmake/coveralls.cmake
浏览文件 @ 47aaba52
......@@ -61,7 +61,7 @@ function(code_coverage _COVERAGE_SRCS _COVERALLS_UPLOAD _CMAKE_SCRIPT_PATH)
endif()
endfunction()
if(ON_COVERALLS)
if(WITH_COVERAGE)
set(CMAKE_BUILD_TYPE "Debug")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -O0 -fprofile-arcs -ftest-coverage")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -g -O0 -fprofile-arcs -ftest-coverage")
......
cmake/coverallsGcovJsons.cmake
浏览文件 @ 47aaba52
......@@ -134,7 +134,7 @@ foreach(GCDA ${GCDA_FILES})
# If -p is not specified then the file is named only "the_file.c.gcov"
#
execute_process(
COMMAND "${GCOV_EXECUTABLE} -p -o ${GCDA_DIR} ${GCDA}"
COMMAND ${GCOV_EXECUTABLE} -p -o ${GCDA_DIR} ${GCDA} >/dev/null
WORKING_DIRECTORY ${GCDA_DIR}
)
endforeach()
......
cmake/external/openblas.cmake
浏览文件 @ 47aaba52
......@@ -45,7 +45,7 @@ IF(NOT ${CBLAS_FOUND})
PREFIX ${CBLAS_SOURCES_DIR}
INSTALL_DIR ${CBLAS_INSTALL_DIR}
BUILD_IN_SOURCE 1
BUILD_COMMAND ${CMAKE_MAKE_PROGRAM} FC=${CMAKE_Fortran_COMPILER} CC=${CMAKE_C_COMPILER} HOSTCC=${CMAKE_C_COMPILER} NO_SHARED=1 libs netlib
BUILD_COMMAND ${CMAKE_MAKE_PROGRAM} FC=${CMAKE_Fortran_COMPILER} CC=${CMAKE_C_COMPILER} HOSTCC=${CMAKE_C_COMPILER} DYNAMIC_ARCH=1 NO_SHARED=1 libs netlib
INSTALL_COMMAND ${CMAKE_MAKE_PROGRAM} install NO_SHARED=1 PREFIX=<INSTALL_DIR>
UPDATE_COMMAND ""
CONFIGURE_COMMAND ""
......
cmake/external/protobuf.cmake
浏览文件 @ 47aaba52
......@@ -14,7 +14,8 @@
INCLUDE(ExternalProject)
FIND_PACKAGE(Protobuf 3.1)
set(PROTOBUF_VERSION 3.1)
FIND_PACKAGE(Protobuf ${PROTOBUF_VERSION})
IF(PROTOBUF_FOUND)
EXEC_PROGRAM(${PROTOBUF_PROTOC_EXECUTABLE} ARGS --version OUTPUT_VARIABLE PROTOBUF_VERSION)
......
cmake/util.cmake
浏览文件 @ 47aaba52
......@@ -90,26 +90,6 @@ function(link_paddle_exe TARGET_NAME)
${RDMA_LD_FLAGS}
${RDMA_LIBS})
if(WITH_PYTHON)
target_link_libraries(${TARGET_NAME}
${PYTHON_LIBRARIES} util)
endif()
if(WITH_GPU)
target_link_libraries(${TARGET_NAME} ${CUDA_CUDART_LIBRARY})
if(NOT WITH_DSO OR WITH_METRIC)
target_link_libraries(${TARGET_NAME}
${CUDNN_LIBRARY}
${CUDA_curand_LIBRARY})
CUDA_ADD_CUBLAS_TO_TARGET(${TARGET_NAME})
endif()
check_library_exists(rt clock_gettime "time.h" HAVE_CLOCK_GETTIME )
if(HAVE_CLOCK_GETTIME)
target_link_libraries(${TARGET_NAME} rt)
endif()
endif()
add_dependencies(${TARGET_NAME} ${external_project_dependencies})
endfunction()
......
doc/getstarted/build_and_install/build_from_source_en.md
浏览文件 @ 47aaba52
......@@ -51,7 +51,7 @@ PaddlePaddle supports some build options.
<tr><td class="left">WITH_TIMER</td><td class="left">Compile PaddlePaddle with stats timer</td></tr>
<tr><td class="left">WITH_PROFILER</td><td class="left">Compile PaddlePaddle with GPU profiler</td></tr>
<tr><td class="left">WITH_DOC</td><td class="left">Compile PaddlePaddle with documentation</td></tr>
<tr><td class="left">ON_COVERALLS</td><td class="left">Compile PaddlePaddle with code coverage</td></tr>
<tr><td class="left">WITH_COVERAGE</td><td class="left">Compile PaddlePaddle with code coverage</td></tr>
<tr><td class="left">COVERALLS_UPLOAD</td><td class="left">Package code coverage data to coveralls</td></tr>
<tr><td class="left">ON_TRAVIS</td><td class="left">Exclude special unit test on Travis CI</td></tr>
</tbody>
......
paddle/api/CMakeLists.txt
浏览文件 @ 47aaba52
FUNCTION(generate_python_api target_name)
ADD_CUSTOM_COMMAND(OUTPUT ${PROJ_ROOT}/paddle/py_paddle/swig_paddle.py
${PROJ_ROOT}/paddle/Paddle_wrap.cxx
${PROJ_ROOT}/paddle/Paddle_wrap.h
COMMAND ${SWIG_EXECUTABLE} -python -c++ -outcurrentdir -I../ api/Paddle.swig
&& mv ${PROJ_ROOT}/paddle/swig_paddle.py ${PROJ_ROOT}/paddle/py_paddle/swig_paddle.py
DEPENDS ${PROJ_ROOT}/paddle/api/Paddle.swig
${PROJ_ROOT}/paddle/api/PaddleAPI.h
${external_project_dependencies}
WORKING_DIRECTORY ${PROJ_ROOT}/paddle
COMMENT "Generate Python API from swig")
ADD_CUSTOM_TARGET(${target_name} ALL DEPENDS
${PROJ_ROOT}/paddle/Paddle_wrap.cxx
${PROJ_ROOT}/paddle/Paddle_wrap.h
${PROJ_ROOT}/paddle/py_paddle/swig_paddle.py
${external_project_dependencies})
ENDFUNCTION(generate_python_api)
set(API_SOURCES
Arguments.cpp
ConfigParser.cpp
......@@ -33,65 +15,86 @@ set(API_HEADER
PaddleAPI.h
Internal.h)
add_library(paddle_api STATIC
${API_SOURCES})
add_library(paddle_api STATIC ${API_SOURCES})
add_dependencies(paddle_api gen_proto_cpp)
list(LENGTH "${GFLAGS_LIBRARIES}" GFLAGS_LIBRARIES_LENGTH)
if(${GFLAGS_LIBRARIES_LENGTH} EQUAL 0 AND TARGET "${GFLAGS_LIBRARIES}")
# Because gflags compiled by cmake, so it is imported by cmake target,
# not a real library path. Get the real library path here.
message(STATUS "GFLAGS Libraries is ${GFLAGS_LIBRARIES}")
get_target_property(GFLAGS_LOCATION ${GFLAGS_LIBRARIES} LOCATION)
message(STATUS "GFLAGS Target location is ${GFLAGS_LOCATION}")
else()
set(GFLAGS_LOCATION ${GFLAGS_LIBRARIES})
endif()
INCLUDE(${SWIG_USE_FILE})
INCLUDE_DIRECTORIES(${PROJ_ROOT}/paddle)
configure_file(
paddle_api_config.py.in
${PROJ_ROOT}/paddle/api/paddle_api_config.py
)
FILE(GLOB PY_PADDLE_PYTHON_FILES ${PROJ_ROOT}/paddle/py_paddle/*.py)
generate_python_api(python_swig_sources)
SET_SOURCE_FILES_PROPERTIES(Paddle.i PROPERTIES CPLUSPLUS ON)
file(GLOB PY_PADDLE_PYTHON_FILES ${PROJ_ROOT}/paddle/py_paddle/*.py)
SET(CMAKE_SWIG_OUTDIR ${CMAKE_CURRENT_BINARY_DIR})
SET(CMAKE_CXX_FLAGS "-std=c++11 -fPIC -Wall")
IF(WITH_COVERAGE)
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -O0 -fprofile-arcs -ftest-coverage")
ENDIF(WITH_COVERAGE)
# TODO(yuyang18) : make wheel name calculated by cmake
add_custom_command(OUTPUT ${PROJ_ROOT}/paddle/dist/.timestamp
COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
COMMAND ${CMAKE_COMMAND} -E touch dist/.timestamp
COMMAND rm -rf py_paddle.egg-info build
WORKING_DIRECTORY ${PROJ_ROOT}/paddle
DEPENDS python_swig_sources
SET(SWIG_MODULE_swig_paddle_EXTRA_DEPS
paddle_parameter
paddle_function
paddle_math
paddle_utils
paddle_gserver
paddle_pserver
paddle_trainer
paddle_api
paddle_cuda
${PY_PADDLE_PYTHON_FILES}
paddle_trainer_lib
paddle_network
paddle_proto
${external_project_dependencies}
)
install(DIRECTORY ${PROJ_ROOT}/paddle/dist/
DESTINATION opt/paddle/share/wheels
)
IF(APPLE)
SET(MACOS_LD_FLAGS "-undefined dynamic_lookup -Wl,-all_load")
ELSE(APPLE)
SET(START_GROUP "-Xlinker -start-group")
SET(END_GROUP "-Xlinker -end-group")
SET(ARCHIVE_START "-Wl,--whole-archive")
SET(ARCHIVE_END "-Wl,--no-whole-archive")
ENDIF(APPLE)
add_custom_target(python_api_wheel ALL DEPENDS
${PROJ_ROOT}/paddle/dist/.timestamp)
add_dependencies(python_api_wheel python_swig_sources
SWIG_ADD_MODULE(swig_paddle python Paddle.i)
SWIG_LINK_LIBRARIES(swig_paddle
${MACOS_LD_FLAGS}
${START_GROUP}
${ARCHIVE_START}
paddle_gserver
paddle_function
${METRIC_LIBS}
${ARCHIVE_END}
paddle_pserver
paddle_trainer_lib
paddle_network
paddle_parameter
paddle_math
paddle_utils
paddle_gserver
paddle_pserver
paddle_trainer
paddle_proto
paddle_cuda
paddle_api
paddle_cuda)
${CMAKE_DL_LIBS}
${EXTERNAL_LIBS}
${CMAKE_THREAD_LIBS_INIT}
${RDMA_LD_FLAGS}
${RDMA_LIBS}
${START_END}
)
add_custom_command(OUTPUT ${PROJ_ROOT}/paddle/py_paddle/_swig_paddle.so
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/swig_paddle.py ${PROJ_ROOT}/paddle/py_paddle
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/_swig_paddle.so ${PROJ_ROOT}/paddle/py_paddle
COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
COMMAND ${CMAKE_COMMAND} -E touch dist/.timestamp
COMMAND rm -rf py_paddle.egg-info build
WORKING_DIRECTORY ${PROJ_ROOT}/paddle
DEPENDS _swig_paddle
)
# TODO(yuyang18) : make wheel name calculated by cmake
add_custom_target(python_api_wheel ALL DEPENDS ${PROJ_ROOT}/paddle/py_paddle/_swig_paddle.so)
install(DIRECTORY ${PROJ_ROOT}/paddle/dist/ DESTINATION opt/paddle/share/wheels)
if(WITH_TESTING)
IF(NOT PY_PIP_FOUND)
......
paddle/api/paddle_api_config.py.in 已删除 100644 → 0
浏览文件 @ cc82c275
PADDLE_BUILD_DIR="@CMAKE_CURRENT_BINARY_DIR@/../"
WITH_GPU="@WITH_GPU@"
PROTOBUF_LIBRARY="@PROTOBUF_LIBRARY@"
ZLIB_LIBRARIES="@ZLIB_LIBRARIES@"
CMAKE_THREAD_LIB="@CMAKE_THREAD_LIBS_INIT@"
CMAKE_DL_LIBS="@CMAKE_DL_LIBS@"
WITH_PYTHON="@WITH_PYTHON@"
PYTHON_LIBRARIES="@PYTHON_LIBRARIES@"
GLOG_LIBRARIES="@GLOG_LIBRARIES@"
GFLAGS_LIBRARIES="@GFLAGS_LIBRARIES@"
GFLAGS_LOCATION="@GFLAGS_LOCATION@"
CBLAS_LIBRARIES="@CBLAS_LIBRARIES@"
CUDA_LIBRARIES="@CUDA_CUDART_LIBRARY@"
WITH_COVERALLS="@ON_COVERALLS@"
paddle/api/paddle_ld_flags.py 已删除 100644 → 0
浏览文件 @ cc82c275
# Copyright (c) 2016 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.
try:
from paddle_api_config import *
import os.path
import platform
system = platform.system().lower()
is_osx = (system == 'darwin')
is_win = (system == 'windows')
is_lin = (system == 'linux')
if is_lin:
whole_start = "-Wl,--whole-archive"
whole_end = "-Wl,--no-whole-archive"
elif is_osx:
whole_start = ""
whole_end = ""
LIB_DIRS = [
"math", 'function', 'utils', 'parameter', "gserver", "api", "cuda",
"pserver", "trainer"
]
PARENT_LIB_DIRS = ['proto']
class PaddleLDFlag(object):
def __init__(self):
self.paddle_build_dir = PADDLE_BUILD_DIR
self.paddle_build_dir = os.path.abspath(self.paddle_build_dir)
self.with_gpu = PaddleLDFlag.cmake_bool(WITH_GPU)
self.protolib = PROTOBUF_LIBRARY
self.zlib = ZLIB_LIBRARIES
self.thread = CMAKE_THREAD_LIB
self.dl_libs = CMAKE_DL_LIBS
self.with_python = PaddleLDFlag.cmake_bool(WITH_PYTHON)
self.python_libs = PYTHON_LIBRARIES
self.glog_libs = GLOG_LIBRARIES
self.with_coverage = PaddleLDFlag.cmake_bool(WITH_COVERALLS)
self.gflags_libs = GFLAGS_LIBRARIES
self.gflags_location = GFLAGS_LOCATION
self.cblas_libs = CBLAS_LIBRARIES
self.curt = CUDA_LIBRARIES
def ldflag_str(self):
return " ".join(
[self.libs_dir_str(), self.parent_dir_str(), self.libs_str()])
def libs_dir_str(self):
libdirs = LIB_DIRS
return " ".join(
map(lambda x: "-L" + os.path.join(self.paddle_build_dir, x),
libdirs))
def parent_dir_str(self):
libdirs = PARENT_LIB_DIRS
return " ".join(
map(lambda x: "-L" + os.path.join(self.paddle_build_dir, '..', x),
libdirs))
def libs_str(self):
libs = [
whole_start,
"-lpaddle_gserver",
"-lpaddle_function",
whole_end,
"-lpaddle_pserver",
"-lpaddle_trainer_lib",
"-lpaddle_network",
'-lpaddle_parameter',
"-lpaddle_math",
'-lpaddle_utils',
"-lpaddle_proto",
"-lpaddle_cuda",
"-lpaddle_api",
self.normalize_flag(self.protolib),
self.normalize_flag(self.glog_libs),
self.normalize_flag(self.gflags_libs),
self.normalize_flag(self.zlib),
self.normalize_flag(self.thread),
self.normalize_flag(self.dl_libs),
self.normalize_flag(self.cblas_libs),
]
if self.with_python:
libs.append(self.normalize_flag(self.python_libs))
if self.with_gpu:
libs.append(self.normalize_flag(self.curt))
if self.with_coverage:
libs.append("-fprofile-arcs")
return " ".join(filter(lambda l: len(l) != 0, libs))
def normalize_flag(self, cmake_flag):
"""
CMake flag string to ld flag
:type cmake_flag: str
"""
if ";" in cmake_flag:
return " ".join(map(self.normalize_flag, cmake_flag.split(";")))
if cmake_flag.startswith("/"): # is a path
return cmake_flag
elif cmake_flag.startswith("-l"): # normal link command
return cmake_flag
elif cmake_flag in [
"gflags-shared", "gflags-static", "gflags_nothreads-shared",
"gflags_nothreads-static"
]: # special for gflags
assert PaddleLDFlag.cmake_bool(self.gflags_location)
return self.gflags_location
elif len(cmake_flag) != 0:
return "".join(["-l", cmake_flag])
else:
return ""
@staticmethod
def cmake_bool(cmake_str):
"""
CMake bool string to bool
:param cmake_str: cmake boolean string
:type cmake_str: str
:rtype: bool
"""
if cmake_str in ["FALSE", "OFF", "NO"] or cmake_str.endswith(
"-NOTFOUND"):
return False
else:
return True
def c_flag(self):
if self.with_coverage:
return [
"-fprofile-arcs", "-ftest-coverage", "-O0", "-g",
"-std=c++11"
]
else:
return ["-std=c++11"]
except ImportError:
class PaddleLDFlag(object):
def ldflag_str(self):
pass
def c_flag(self):
pass
paddle/scripts/travis/build_and_test.sh
浏览文件 @ 47aaba52
......@@ -5,7 +5,7 @@ NPROC=1
export PYTHONPATH=/opt/python/2.7.12/lib/python2.7/site-packages
export PYTHONHOME=/opt/python/2.7.12
export PATH=/opt/python/2.7.12/bin:${PATH}
cmake .. -DCMAKE_Fortran_COMPILER=/usr/bin/gfortran-4.8 -DON_TRAVIS=ON -DON_COVERALLS=ON -DCOVERALLS_UPLOAD=ON ${EXTRA_CMAKE_OPTS}
cmake .. -DCMAKE_Fortran_COMPILER=/usr/bin/gfortran-4.8 -DON_TRAVIS=ON -DWITH_COVERAGE=ON -DCOVERALLS_UPLOAD=ON ${EXTRA_CMAKE_OPTS}
NRPOC=`nproc`
make -j $NPROC
make coveralls
......
paddle/setup.py.in
浏览文件 @ 47aaba52
......@@ -12,68 +12,19 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is used to build paddle python binding package.
# It will be invoked by Makefile that generated by COMAKE
from setuptools import setup, Extension
import numpy as np
import api.paddle_ld_flags
import platform
import os
system = platform.system().lower()
is_osx = (system == 'darwin')
is_win = (system == 'windows')
is_lin = (system == 'linux')
# The extra links will passed from COMAKE
# because generate paddle LDFLAGS is too complicated to do in setup.py
# it just read COMAKE generated LDFLAGS.
extra_comps = []
extra_links = []
obj = api.paddle_ld_flags.PaddleLDFlag()
extra_comps = obj.c_flag()
ldflags = obj.ldflag_str()
if ldflags is not None:
extra_links.extend(ldflags.split(" "))
try:
with open('.py_paddle_extra_link_flags', 'r') as f:
for line in f:
extra_links += line.split()
except:
pass
if is_lin == True:
extra_links = ["-Xlinker", '-start-group'] + extra_links + ["-Xlinker", "-end-group"]
elif is_osx == True:
os.environ["ARCHFLAGS"] = "-arch x86_64"
extra_links = ["-Wl,-all_load"] + extra_links
include_dirs = [np.get_include(), "../"] # include numpy and paddle.
os.environ["CC"] = "@CMAKE_C_COMPILER@"
os.environ["CXX"] = "@CMAKE_CXX_COMPILER@"
setup(name="py_paddle",
version="@PADDLE_VERSION@",
ext_modules=[
Extension('py_paddle._swig_paddle', # Build SWIG Extension.
['Paddle_wrap.cxx'],
language = "c++",
include_dirs = include_dirs,
extra_link_args = extra_links,
extra_compile_args = extra_comps
)
],
version="${PADDLE_VERSION}",
packages=['py_paddle'],
include_dirs = include_dirs,
include_package_data=True,
package_data={'py_paddle':['*.py','_swig_paddle.so']},
install_requires = [
'nltk>=3.2.2',
'numpy>=1.8.0', # The numpy is required.
'protobuf>=3.0.0' # The paddle protobuf version
'protobuf>=${PROTOBUF_VERSION}' # The paddle protobuf version
],
url='http://www.paddlepaddle.org/',
license='Apache 2.0',
)
paddle/utils/PythonUtil.cpp.in
浏览文件 @ 47aaba52
......@@ -195,9 +195,14 @@ extern const char enable_virtualenv_py[];
}
void initPython(int argc, char** argv) {
#ifndef PADDLE_NO_PYTHON
char pyHome[] = "@PYTHON_INSTALL_DIR@"; // NOLINT
if (strlen(pyHome)) {
Py_SetPythonHome(pyHome);
std::string pyHome;
#if defined(__APPLE__) || defined(__OSX__)
pyHome = "/usr/local/Frameworks/Python.framework/Versions/2.7";
Py_SetPythonHome(const_cast<char*>(pyHome.c_str()));
#endif
pyHome = "@PYTHON_INSTALL_DIR@"; // NOLINT
if (!pyHome.empty()) {
Py_SetPythonHome(const_cast<char*>(pyHome.c_str()));
}
Py_SetProgramName(argv[0]);
Py_Initialize();
......
python/paddle/trainer/config_parser.py
浏览文件 @ 47aaba52
......@@ -724,7 +724,8 @@ class ConvProjection(ConvBaseProjection):
num_filters=None,
conv_conf=None,
**xargs):
super(ConvProjection, self).__init__(input_layer_name, **xargs)
super(ConvProjection, self).__init__(input_layer_name, num_filters,
conv_conf, **xargs)
parse_conv(conv_conf, self.input_layer_name, self.proj_conf.conv_conf,
num_filters)
......@@ -742,7 +743,8 @@ class ConvTransProjection(ConvBaseProjection):
num_filters=None,
conv_conf=None,
**xargs):
super(ConvTransProjection, self).__init__(input_layer_name, **xargs)
super(ConvTransProjection, self).__init__(input_layer_name, num_filters,
conv_conf, **xargs)
parse_conv(
conv_conf,
......
python/paddle/trainer_config_helpers/tests/configs/protostr/projections.protostr
浏览文件 @ 47aaba52
......@@ -156,6 +156,7 @@ layers {
}
inputs {
input_layer_name: "img"
input_parameter_name: "___mixed_6__.w1"
proj_conf {
type: "conv"
name: "___mixed_6__.w1"
......@@ -177,6 +178,7 @@ layers {
output_y: 30
img_size_y: 32
}
num_filters: 64
}
}
inputs {
......@@ -218,6 +220,7 @@ layers {
}
inputs {
input_layer_name: "img"
input_parameter_name: "___mixed_7__.w1"
proj_conf {
type: "convt"
name: "___mixed_7__.w1"
......@@ -239,6 +242,7 @@ layers {
output_y: 32
img_size_y: 63
}
num_filters: 64
}
}
inputs {
......@@ -377,6 +381,22 @@ parameters {
initial_strategy: 0
initial_smart: true
}
parameters {
name: "___mixed_6__.w1"
size: 576
initial_mean: 0.0
initial_std: 0.471404520791
initial_strategy: 0
initial_smart: false
}
parameters {
name: "___mixed_7__.w1"
size: 576
initial_mean: 0.0
initial_std: 0.471404520791
initial_strategy: 0
initial_smart: false
}
parameters {
name: "___mixed_8__.w0"
size: 30000
......
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