Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into fix1678

.gitignore

@@ -7,6 +7,7 @@ build/
 .project
 .cproject
 .pydevproject
+.settings/
 Makefile
 .test_env/
 third_party/

CMakeLists.txt

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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

@@ -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

-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 "${GFLAGS_LIBRARIES}" GFLAGS_LIBRARIES_LENGTH)
+INCLUDE(${SWIG_USE_FILE})
+INCLUDE_DIRECTORIES(${PROJ_ROOT}/paddle)
 
-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()
+FILE(GLOB PY_PADDLE_PYTHON_FILES ${PROJ_ROOT}/paddle/py_paddle/*.py)
+
+SET_SOURCE_FILES_PROPERTIES(Paddle.i PROPERTIES CPLUSPLUS ON)
+
+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)
 
-configure_file(
-    paddle_api_config.py.in
-    ${PROJ_ROOT}/paddle/api/paddle_api_config.py
+SET(SWIG_MODULE_swig_paddle_EXTRA_DEPS
+    paddle_parameter
+    paddle_function
+    paddle_math
+    paddle_utils
+    paddle_gserver
+    paddle_pserver
+    paddle_api
+    paddle_cuda
+    paddle_trainer_lib
+    paddle_network
+    paddle_proto
+    ${external_project_dependencies}
 )
 
-generate_python_api(python_swig_sources)
+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)
 
-file(GLOB PY_PADDLE_PYTHON_FILES ${PROJ_ROOT}/paddle/py_paddle/*.py)
+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_proto
+    paddle_cuda
+    paddle_api
+    ${CMAKE_DL_LIBS}
+    ${EXTERNAL_LIBS}
+    ${CMAKE_THREAD_LIBS_INIT}
+    ${RDMA_LD_FLAGS}
+    ${RDMA_LIBS}
+    ${START_END}
+)
 
-# TODO(yuyang18) : make wheel name calculated by cmake
-add_custom_command(OUTPUT ${PROJ_ROOT}/paddle/dist/.timestamp
+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 python_swig_sources
-            paddle_parameter
-            paddle_function
-            paddle_math
-            paddle_utils
-            paddle_gserver
-            paddle_pserver
-            paddle_trainer
-            paddle_api
-            paddle_cuda
-        ${PY_PADDLE_PYTHON_FILES}
+    DEPENDS _swig_paddle
 )
 
-install(DIRECTORY ${PROJ_ROOT}/paddle/dist/
-    DESTINATION opt/paddle/share/wheels
-)
+# TODO(yuyang18) : make wheel name calculated by cmake
+add_custom_target(python_api_wheel ALL DEPENDS ${PROJ_ROOT}/paddle/py_paddle/_swig_paddle.so)
 
-add_custom_target(python_api_wheel ALL DEPENDS
-  ${PROJ_ROOT}/paddle/dist/.timestamp)
-add_dependencies(python_api_wheel python_swig_sources
-  paddle_parameter
-  paddle_math
-  paddle_utils
-  paddle_gserver
-  paddle_pserver
-  paddle_trainer
-  paddle_api
-  paddle_cuda)
+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

-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

-# 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/py_paddle/.gitignore

 swig_paddle.py
+_swig_paddle.so

paddle/scripts/travis/build_and_test.sh

@@ -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

@@ -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
-    )
-  ],
-  packages=['py_paddle'],
-  include_dirs = include_dirs,
-  install_requires = [
-    'nltk>=3.2.2',
-    'numpy>=1.8.0',      # The numpy is required.
-    'protobuf>=3.0.0'    # The paddle protobuf version
-  ],
+      version="${PADDLE_VERSION}",
+      packages=['py_paddle'],
+      include_package_data=True,
+      package_data={'py_paddle':['*.py','_swig_paddle.so']},
+      install_requires = [
+        'nltk>=3.2.2',
+        'numpy>=1.8.0',      # The numpy is required.
+        'protobuf>=${PROTOBUF_VERSION}'    # The paddle protobuf version
+      ],
+      url='http://www.paddlepaddle.org/',
+      license='Apache 2.0',
 )

paddle/utils/PythonUtil.cpp.in

@@ -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

@@ -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

@@ -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