Merge pull request #14320 from wopeizl/windows/online

Windows/online

CMakeLists.txt

@@ -26,6 +26,11 @@ message(STATUS "C compiler: ${CMAKE_C_COMPILER}, version: "
         "${CMAKE_C_COMPILER_ID} ${CMAKE_C_COMPILER_VERSION}")
 if(WIN32)
     set(CMAKE_STATIC_LIBRARY_PREFIX lib)
+    add_definitions("/DGOOGLE_GLOG_DLL_DECL=")
+    set(CMAKE_C_FLAGS_DEBUG   "${CMAKE_C_FLAGS_DEBUG} /bigobj /MTd")
+    set(CMAKE_C_FLAGS_RELEASE  "${CMAKE_C_FLAGS_RELEASE} /bigobj /MT")
+    set(CMAKE_CXX_FLAGS_DEBUG  "${CMAKE_CXX_FLAGS_DEBUG} /bigobj /MTd")
+    set(CMAKE_CXX_FLAGS_RELEASE   "${CMAKE_CXX_FLAGS_RELEASE} /bigobj /MT")
 endif(WIN32)
 
 if(NOT CMAKE_CROSSCOMPILING)

cmake/cuda.cmake

@@ -157,6 +157,9 @@ list(APPEND EXTERNAL_LIBS ${CUDA_LIBRARIES} ${CUDA_rt_LIBRARY})
 if(NOT WITH_DSO)
     # TODO(panyx0718): CUPTI only allows DSO?
     list(APPEND EXTERNAL_LIBS ${CUDNN_LIBRARY} ${CUPTI_LIBRARY} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_curand_LIBRARY} ${NCCL_LIBRARY})
+    if(WIN32)
+      set_property(GLOBAL PROPERTY CUDA_MODULES ${CUDNN_LIBRARY} ${CUDA_CUBLAS_LIBRARIES} ${CUDA_curand_LIBRARY})
+    endif(WIN32)
 endif(NOT WITH_DSO)
 
 # setting nvcc arch flags
@@ -196,10 +199,12 @@ elseif(CMAKE_BUILD_TYPE  STREQUAL "MinSizeRel")
     list(APPEND CUDA_NVCC_FLAGS  ${CMAKE_CXX_FLAGS_RELEASE})
 endif()
 else(NOT WIN32)
-if(CMAKE_BUILD_TYPE STREQUAL "Release")
+if(CMAKE_BUILD_TYPE  STREQUAL "Debug")
+    list(APPEND CUDA_NVCC_FLAGS  "-g -G")
+elseif(CMAKE_BUILD_TYPE STREQUAL "Release")
   list(APPEND CUDA_NVCC_FLAGS "-O3 -DNDEBUG")
 else()
-  message(FATAL "Windows only support Release build now. Please set visual studio build type to Release, x64 build.")
+  message(FATAL "Windows only support Release or Debug build now. Please set visual studio build type to Release/Debug, x64 build.")
 endif()
 endif(NOT WIN32)
 

cmake/cudnn.cmake

@@ -2,7 +2,12 @@ if(NOT WITH_GPU)
     return()
 endif()
 
-set(CUDNN_ROOT "/usr" CACHE PATH "CUDNN ROOT")
+if(WIN32)
+    set(CUDNN_ROOT ${CUDA_TOOLKIT_ROOT_DIR})
+else(WIN32)
+    set(CUDNN_ROOT "/usr" CACHE PATH "CUDNN ROOT")
+endif(WIN32)
+
 find_path(CUDNN_INCLUDE_DIR cudnn.h
     PATHS ${CUDNN_ROOT} ${CUDNN_ROOT}/include
     $ENV{CUDNN_ROOT} $ENV{CUDNN_ROOT}/include ${CUDA_TOOLKIT_INCLUDE}

cmake/external/boost.cmake

@@ -28,34 +28,28 @@ if((NOT DEFINED BOOST_TAR) OR (NOT DEFINED BOOST_URL))
     set(BOOST_TAR "boost_1_41_0" CACHE STRING "" FORCE)
     set(BOOST_URL "http://paddlepaddledeps.cdn.bcebos.com/${BOOST_TAR}.tar.gz" CACHE STRING "" FORCE)
 endif()
-IF (WIN32)
-    MESSAGE(WARNING, "In windows, boost can not be downloaded automaticlly, please build it manually and put it at " ${THIRD_PARTY_PATH}install/boost)
-else()
-    MESSAGE(STATUS "BOOST_TAR: ${BOOST_TAR}, BOOST_URL: ${BOOST_URL}")
-ENDIF(WIN32)
+
+MESSAGE(STATUS "BOOST_TAR: ${BOOST_TAR}, BOOST_URL: ${BOOST_URL}")
 
 set(BOOST_SOURCES_DIR ${THIRD_PARTY_PATH}/boost)
 set(BOOST_DOWNLOAD_DIR  "${BOOST_SOURCES_DIR}/src/${BOOST_PROJECT}")
-set(BOOST_INCLUDE_DIR "${BOOST_DOWNLOAD_DIR}/${BOOST_TAR}" CACHE PATH "boost include directory." FORCE)
-set_directory_properties(PROPERTIES CLEAN_NO_CUSTOM 1)
 
+set(BOOST_INCLUDE_DIR "${BOOST_DOWNLOAD_DIR}" CACHE PATH "boost include directory." FORCE)
+set_directory_properties(PROPERTIES CLEAN_NO_CUSTOM 1)
 include_directories(${BOOST_INCLUDE_DIR})
 
-if (NOT WIN32)
 ExternalProject_Add(
     ${BOOST_PROJECT}
     ${EXTERNAL_PROJECT_LOG_ARGS}
     DOWNLOAD_DIR          ${BOOST_DOWNLOAD_DIR}
-    DOWNLOAD_COMMAND      wget --no-check-certificate ${BOOST_URL} -c -q -O ${BOOST_TAR}.tar.gz
-    && tar zxf ${BOOST_TAR}.tar.gz
+    URL      ${BOOST_URL}
     DOWNLOAD_NO_PROGRESS  1
     PREFIX                ${BOOST_SOURCES_DIR}
     CONFIGURE_COMMAND     ""
     BUILD_COMMAND         ""
     INSTALL_COMMAND       ""
     UPDATE_COMMAND        ""
-)
-endif(NOT WIN32)
+    )
 
 if (${CMAKE_VERSION} VERSION_LESS "3.3.0" OR NOT WIN32)
     set(dummyfile ${CMAKE_CURRENT_BINARY_DIR}/boost_dummy.c)

cmake/external/gflags.cmake

@@ -35,7 +35,12 @@ ExternalProject_Add(
     CMAKE_ARGS      -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}
                     -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER}
                     -DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}
+                    -DCMAKE_CXX_FLAGS_RELEASE=${CMAKE_CXX_FLAGS_RELEASE}
+                    -DCMAKE_CXX_FLAGS_DEBUG=${CMAKE_CXX_FLAGS_DEBUG}
                     -DCMAKE_C_FLAGS=${CMAKE_C_FLAGS}
+                    -DCMAKE_C_FLAGS_DEBUG=${CMAKE_C_FLAGS_DEBUG}
+                    -DCMAKE_C_FLAGS_RELEASE=${CMAKE_C_FLAGS_RELEASE}
+                    -DBUILD_STATIC_LIBS=ON
                     -DCMAKE_INSTALL_PREFIX=${GFLAGS_INSTALL_DIR}
                     -DCMAKE_POSITION_INDEPENDENT_CODE=ON
                     -DBUILD_TESTING=OFF
@@ -48,8 +53,8 @@ ExternalProject_Add(
 IF(WIN32)
   IF(NOT EXISTS "${GFLAGS_INSTALL_DIR}/lib/libgflags.lib")
     add_custom_command(TARGET extern_gflags POST_BUILD
-    COMMAND cmake -E rename ${GFLAGS_INSTALL_DIR}/lib/gflags_static.lib ${GFLAGS_INSTALL_DIR}/lib/libgflags.lib
-  )
+            COMMAND cmake -E copy ${GFLAGS_INSTALL_DIR}/lib/gflags_static.lib ${GFLAGS_INSTALL_DIR}/lib/libgflags.lib
+            )
   ENDIF()
 ENDIF(WIN32)
 ADD_LIBRARY(gflags STATIC IMPORTED GLOBAL)

cmake/external/glog.cmake

@@ -46,7 +46,11 @@ ExternalProject_Add(
     CMAKE_ARGS      -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}
                     -DCMAKE_C_COMPILER=${CMAKE_C_COMPILER}
                     -DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}
+                    -DCMAKE_CXX_FLAGS_RELEASE=${CMAKE_CXX_FLAGS_RELEASE}
+                    -DCMAKE_CXX_FLAGS_DEBUG=${CMAKE_CXX_FLAGS_DEBUG}
                     -DCMAKE_C_FLAGS=${CMAKE_C_FLAGS}
+                    -DCMAKE_C_FLAGS_DEBUG=${CMAKE_C_FLAGS_DEBUG}
+                    -DCMAKE_C_FLAGS_RELEASE=${CMAKE_C_FLAGS_RELEASE}
                     -DCMAKE_INSTALL_PREFIX=${GLOG_INSTALL_DIR}
                     -DCMAKE_INSTALL_LIBDIR=${GLOG_INSTALL_DIR}/lib
                     -DCMAKE_POSITION_INDEPENDENT_CODE=ON
@@ -63,7 +67,7 @@ ExternalProject_Add(
 IF(WIN32)
   IF(NOT EXISTS "${GLOG_INSTALL_DIR}/lib/libglog.lib")
     add_custom_command(TARGET extern_glog POST_BUILD
-    COMMAND cmake -E rename ${GLOG_INSTALL_DIR}/lib/glog.lib ${GLOG_INSTALL_DIR}/lib/libglog.lib
+    COMMAND cmake -E copy ${GLOG_INSTALL_DIR}/lib/glog.lib ${GLOG_INSTALL_DIR}/lib/libglog.lib
   )
   ENDIF()
 ENDIF(WIN32)

cmake/external/openblas.cmake

@@ -17,12 +17,8 @@ IF(USE_EIGEN_FOR_BLAS)
 ENDIF(USE_EIGEN_FOR_BLAS)
 
 INCLUDE(cblas)
-# IF(WIN32 AND NOT ${CBLAS_FOUND})
-
-
 
 IF(NOT ${CBLAS_FOUND})
-
     INCLUDE(ExternalProject)
 
     SET(CBLAS_SOURCES_DIR ${THIRD_PARTY_PATH}/openblas)
@@ -34,6 +30,7 @@ IF(NOT ${CBLAS_FOUND})
         CACHE FILEPATH "openblas library." FORCE)
 
     ADD_DEFINITIONS(-DPADDLE_USE_OPENBLAS)
+
     IF (WIN32)
         SET(CBLAS_FOUND true)
         MESSAGE(WARNING, "In windows, openblas only support msvc build, please build it manually and put it at " ${CBLAS_INSTALL_DIR})

cmake/external/protobuf.cmake

@@ -140,7 +140,6 @@ endmacro()
 set(PROTOBUF_ROOT "" CACHE PATH "Folder contains protobuf")
 IF (WIN32)
     SET(PROTOBUF_ROOT ${THIRD_PARTY_PATH}/install/protobuf)
-    MESSAGE(WARNING, "In windows, protobuf only support msvc build, please build it manually and put it at " ${PROTOBUF_ROOT})
 ENDIF(WIN32)
 
 if (NOT "${PROTOBUF_ROOT}" STREQUAL "")
@@ -188,13 +187,20 @@ FUNCTION(build_protobuf TARGET_NAME BUILD_FOR_HOST)
         SET(OPTIONAL_ARGS
             "-DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}"
             "-DCMAKE_C_COMPILER=${CMAKE_C_COMPILER}"
-            "-DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}"
             "-DCMAKE_C_FLAGS=${CMAKE_C_FLAGS}"
+            "-DCMAKE_C_FLAGS_DEBUG=${CMAKE_C_FLAGS_DEBUG}"
+            "-DCMAKE_C_FLAGS_RELEASE=${CMAKE_C_FLAGS_RELEASE}"
+            "-DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}"
+            "-DCMAKE_CXX_FLAGS_RELEASE=${CMAKE_CXX_FLAGS_RELEASE}"
+            "-DCMAKE_CXX_FLAGS_DEBUG=${CMAKE_CXX_FLAGS_DEBUG}"
             "-Dprotobuf_WITH_ZLIB=ON"
             "-DZLIB_ROOT:FILEPATH=${ZLIB_ROOT}"
             ${EXTERNAL_OPTIONAL_ARGS})
         SET(OPTIONAL_CACHE_ARGS "-DZLIB_ROOT:STRING=${ZLIB_ROOT}")
     ENDIF()
+    IF(WIN32)
+        SET(OPTIONAL_ARGS ${OPTIONAL_ARGS} "-DCMAKE_GENERATOR_PLATFORM=x64")
+    ENDIF()
 
     SET(PROTOBUF_REPO "https://github.com/google/protobuf.git")
     SET(PROTOBUF_TAG "9f75c5aa851cd877fb0d93ccc31b8567a6706546")

cmake/external/python.cmake

@@ -21,6 +21,48 @@ INCLUDE(python_module)
 FIND_PACKAGE(PythonInterp ${PY_VERSION})
 FIND_PACKAGE(PythonLibs ${PY_VERSION})
 
+if(WIN32)
+    execute_process(COMMAND "${PYTHON_EXECUTABLE}" "-c"
+"from distutils import sysconfig as s;import sys;import struct;
+print(sys.prefix);
+print(s.get_config_var('LDVERSION') or s.get_config_var('VERSION'));
+"
+            RESULT_VARIABLE _PYTHON_SUCCESS
+            OUTPUT_VARIABLE _PYTHON_VALUES
+            ERROR_VARIABLE _PYTHON_ERROR_VALUE)
+
+    if(NOT _PYTHON_SUCCESS MATCHES 0)
+        set(PYTHONLIBS_FOUND FALSE)
+        return()
+    endif()
+
+    # Convert the process output into a list
+    string(REGEX REPLACE ";" "\\\\;" _PYTHON_VALUES ${_PYTHON_VALUES})
+    string(REGEX REPLACE "\n" ";" _PYTHON_VALUES ${_PYTHON_VALUES})
+    list(GET _PYTHON_VALUES 0 PYTHON_PREFIX)
+    list(GET _PYTHON_VALUES 1 PYTHON_LIBRARY_SUFFIX)
+
+    # Make sure all directory separators are '/'
+    string(REGEX REPLACE "\\\\" "/" PYTHON_PREFIX ${PYTHON_PREFIX})
+
+    set(PYTHON_LIBRARY
+            "${PYTHON_PREFIX}/libs/Python${PYTHON_LIBRARY_SUFFIX}.lib")
+
+    # when run in a venv, PYTHON_PREFIX points to it. But the libraries remain in the
+    # original python installation. They may be found relative to PYTHON_INCLUDE_DIR.
+    if(NOT EXISTS "${PYTHON_LIBRARY}")
+        get_filename_component(_PYTHON_ROOT ${PYTHON_INCLUDE_DIR} DIRECTORY)
+        set(PYTHON_LIBRARY
+                "${_PYTHON_ROOT}/libs/Python${PYTHON_LIBRARY_SUFFIX}.lib")
+    endif()
+
+    # raise an error if the python libs are still not found.
+    if(NOT EXISTS "${PYTHON_LIBRARY}")
+        message(FATAL_ERROR "Python libraries not found")
+    endif()
+    SET(PYTHON_LIBRARIES "${PYTHON_LIBRARY}")
+endif(WIN32)
+
 # Fixme: Maybe find a static library. Get SHARED/STATIC by FIND_PACKAGE.
 ADD_LIBRARY(python SHARED IMPORTED GLOBAL)
 SET_PROPERTY(TARGET python PROPERTY IMPORTED_LOCATION ${PYTHON_LIBRARIES})

cmake/external/xxhash.cmake

@@ -14,23 +14,52 @@ ELSE()
   ENDIF(APPLE)
 ENDIF()
 
-ExternalProject_Add(
-    extern_xxhash
-    ${EXTERNAL_PROJECT_LOG_ARGS}
-    GIT_REPOSITORY  "https://github.com/Cyan4973/xxHash"
-    GIT_TAG         "v0.6.5"
-    PREFIX          ${XXHASH_SOURCE_DIR}
-    DOWNLOAD_NAME   "xxhash"
-    UPDATE_COMMAND  ""
-    CONFIGURE_COMMAND ""
-    BUILD_IN_SOURCE 1
-    PATCH_COMMAND
-    BUILD_COMMAND     ${BUILD_CMD}
-    INSTALL_COMMAND   export PREFIX=${XXHASH_INSTALL_DIR}/ && make install
-    TEST_COMMAND      ""
-)
+if(WIN32)
+  ExternalProject_Add(
+          extern_xxhash
+          ${EXTERNAL_PROJECT_LOG_ARGS}
+          GIT_REPOSITORY  "https://github.com/Cyan4973/xxHash"
+          GIT_TAG         "v0.6.5"
+          PREFIX          ${XXHASH_SOURCE_DIR}
+          DOWNLOAD_NAME   "xxhash"
+          UPDATE_COMMAND  ""
+          BUILD_IN_SOURCE 1
+          PATCH_COMMAND
+          CONFIGURE_COMMAND
+          ${CMAKE_COMMAND} ${XXHASH_SOURCE_DIR}/src/extern_xxhash/cmake_unofficial
+          -DCMAKE_INSTALL_PREFIX:PATH=${XXHASH_INSTALL_DIR}
+          -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE}
+          -DCMAKE_VERBOSE_MAKEFILE:BOOL=OFF
+          -DCMAKE_POSITION_INDEPENDENT_CODE:BOOL=ON
+          -DBUILD_XXHSUM=OFF
+          -DCMAKE_GENERATOR_PLATFORM=x64
+          -DBUILD_SHARED_LIBS=OFF
+          ${OPTIONAL_CACHE_ARGS}
+          TEST_COMMAND      ""
+  )
+else()
+  ExternalProject_Add(
+      extern_xxhash
+      ${EXTERNAL_PROJECT_LOG_ARGS}
+      GIT_REPOSITORY  "https://github.com/Cyan4973/xxHash"
+      GIT_TAG         "v0.6.5"
+      PREFIX          ${XXHASH_SOURCE_DIR}
+      DOWNLOAD_NAME   "xxhash"
+      UPDATE_COMMAND  ""
+      CONFIGURE_COMMAND ""
+      BUILD_IN_SOURCE 1
+      PATCH_COMMAND
+      BUILD_COMMAND     ${BUILD_CMD}
+      INSTALL_COMMAND   export PREFIX=${XXHASH_INSTALL_DIR}/ && make install
+      TEST_COMMAND      ""
+  )
+endif()
 
-set(XXHASH_LIBRARIES "${XXHASH_INSTALL_DIR}/lib/libxxhash.a")
+if (WIN32)
+  set(XXHASH_LIBRARIES "${XXHASH_INSTALL_DIR}/lib/xxhash.lib")
+else()
+  set(XXHASH_LIBRARIES "${XXHASH_INSTALL_DIR}/lib/libxxhash.a")
+endif ()
 INCLUDE_DIRECTORIES(${XXHASH_INCLUDE_DIR})
 
 add_library(xxhash STATIC IMPORTED GLOBAL)

cmake/generic.cmake

@@ -266,7 +266,11 @@ function(cc_library TARGET_NAME)
       if("${cc_library_DEPS};" MATCHES "python;")
         list(REMOVE_ITEM cc_library_DEPS python)
         add_dependencies(${TARGET_NAME} python)
-        target_link_libraries(${TARGET_NAME} "-Wl,-undefined,dynamic_lookup")
+        if(WIN32)
+          target_link_libraries(${TARGET_NAME} ${PYTHON_LIBRARIES})
+        else()
+          target_link_libraries(${TARGET_NAME} "-Wl,-undefined,dynamic_lookup")
+        endif(WIN32)
       endif()
       target_link_libraries(${TARGET_NAME} ${cc_library_DEPS})
       add_dependencies(${TARGET_NAME} ${cc_library_DEPS})
@@ -288,6 +292,45 @@ function(cc_library TARGET_NAME)
   endif(cc_library_SRCS)
 endfunction(cc_library)
 
+# The link operation under windows may exceeds the maximum characters limit, simply break the link command
+# into multiple link opeartion can fix that, say
+# original:
+#     lib /out:target.lib a.lib b.lib c.lib d.lib
+# after:
+#    1. lib /out:dummy_lib_1.lib a.lib b.lib
+#    2. lib /out:dummy_lib_2.lib c.lib d.lib
+#    1. lib /out:target.lib dummy_lib_1.lib dummy_lib_2.lib
+function(sep_library TARGET_NAME)
+  set(options STATIC static SHARED shared)
+  set(oneValueArgs "")
+  set(multiValueArgs SRCS DEPS)
+  cmake_parse_arguments(sep_library "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
+  set(dummy_index 1)
+  set(dummy_offset 1)
+  # the dummy target would be consisted of limit size libraries
+  set(dummy_limit 50)
+  list(LENGTH sep_library_DEPS sep_all_len)
+  foreach(v ${sep_library_DEPS})
+    list(APPEND dummy_list ${v})
+    list(LENGTH dummy_list listlen )
+    if ((${listlen} GREATER ${dummy_limit}) OR (${dummy_offset} EQUAL ${sep_all_len}))
+      message("create dummy library ${TARGET_NAME}_dummy_lib_${dummy_index} for ${TARGET_NAME}")
+      cc_library(${TARGET_NAME}_dummy_lib_${dummy_index} STATIC DEPS ${dummy_list})
+      foreach(i ${dummy_list})
+        list(REMOVE_AT dummy_list 0)
+      endforeach()
+      list(APPEND ${TARGET_NAME}_dummy_list ${TARGET_NAME}_dummy_lib_${dummy_index})
+      MATH(EXPR dummy_index "${dummy_index}+1")
+    endif()
+    MATH(EXPR dummy_offset "${dummy_offset}+1")
+  endforeach()
+  if(${sep_library_SHARED})
+    cc_library(${TARGET_NAME} SHARED SRCS ${sep_library_SRCS} DEPS ${${TARGET_NAME}_dummy_list})
+  else(${sep_library_SHARED})
+    cc_library(${TARGET_NAME} STATIC SRCS ${sep_library_SRCS} DEPS ${${TARGET_NAME}_dummy_list})
+  endif(${sep_library_SHARED})
+endfunction(sep_library)
+
 function(cc_binary TARGET_NAME)
   set(options "")
   set(oneValueArgs "")

cmake/inference_lib.cmake

@@ -22,144 +22,165 @@ function(copy TARGET)
 
     list(LENGTH copy_lib_SRCS copy_lib_SRCS_len)
     list(LENGTH copy_lib_DSTS copy_lib_DSTS_len)
-    if(NOT ${copy_lib_SRCS_len} EQUAL ${copy_lib_DSTS_len})
+    if (NOT ${copy_lib_SRCS_len} EQUAL ${copy_lib_DSTS_len})
         message(FATAL_ERROR "${TARGET} source numbers are not equal to destination numbers")
-    endif()
+    endif ()
     math(EXPR len "${copy_lib_SRCS_len} - 1")
 
     add_custom_target(${TARGET} DEPENDS ${copy_lib_DEPS})
-    foreach(index RANGE ${len})
+    foreach (index RANGE ${len})
         list(GET copy_lib_SRCS ${index} src)
         list(GET copy_lib_DSTS ${index} dst)
-        add_custom_command(TARGET ${TARGET} PRE_BUILD
-          COMMAND mkdir -p "${dst}"
-          COMMAND cp -r "${src}" "${dst}"
-          COMMENT "copying ${src} -> ${dst}")
-    endforeach()
+        if (WIN32)
+            # windows cmd shell will not expand wildcard automatically.
+            # below expand the files,libs and copy them by rules.
+            file(GLOB header_files ${src} "*.h")
+            file(GLOB static_lib_files ${src} "*.lib")
+            file(GLOB dll_lib_files ${src} "*.dll")
+            set(src_files ${header_files} ${static_lib_files} ${dll_lib_files})
+
+            if (NOT "${src_files}" STREQUAL "")
+                list(REMOVE_DUPLICATES src_files)
+            endif ()
+            add_custom_command(TARGET ${TARGET} PRE_BUILD
+                    COMMAND ${CMAKE_COMMAND} -E make_directory "${dst}"
+                    )
+            foreach (src_file ${src_files})
+                add_custom_command(TARGET ${TARGET} PRE_BUILD
+                        COMMAND ${CMAKE_COMMAND} -E copy "${src_file}" "${dst}"
+                        COMMENT "copying ${src_file} -> ${dst}")
+            endforeach ()
+        else (WIN32) # not windows
+            add_custom_command(TARGET ${TARGET} PRE_BUILD
+                    COMMAND mkdir -p "${dst}"
+                    COMMAND cp -r "${src}" "${dst}"
+                    COMMENT "copying ${src} -> ${dst}")
+        endif (WIN32) # not windows
+    endforeach ()
 endfunction()
 
 # third party
 set(dst_dir "${FLUID_INSTALL_DIR}/third_party/eigen3")
 copy(eigen3_lib
-  SRCS ${EIGEN_INCLUDE_DIR}/Eigen/Core ${EIGEN_INCLUDE_DIR}/Eigen/src ${EIGEN_INCLUDE_DIR}/unsupported/Eigen
-  DSTS ${dst_dir}/Eigen ${dst_dir}/Eigen ${dst_dir}/unsupported
-  DEPS eigen3
-)
+        SRCS ${EIGEN_INCLUDE_DIR}/Eigen/Core ${EIGEN_INCLUDE_DIR}/Eigen/src ${EIGEN_INCLUDE_DIR}/unsupported/Eigen
+        DSTS ${dst_dir}/Eigen ${dst_dir}/Eigen ${dst_dir}/unsupported
+        DEPS eigen3
+        )
 
 set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/gflags")
 copy(gflags_lib
-  SRCS ${GFLAGS_INCLUDE_DIR} ${GFLAGS_LIBRARIES}
-  DSTS ${dst_dir} ${dst_dir}/lib
-  DEPS gflags
-)
+        SRCS ${GFLAGS_INCLUDE_DIR} ${GFLAGS_LIBRARIES}
+        DSTS ${dst_dir} ${dst_dir}/lib
+        DEPS gflags
+        )
 
 set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/glog")
 copy(glog_lib
-  SRCS ${GLOG_INCLUDE_DIR} ${GLOG_LIBRARIES}
-  DSTS ${dst_dir} ${dst_dir}/lib
-  DEPS glog
-)
+        SRCS ${GLOG_INCLUDE_DIR} ${GLOG_LIBRARIES}
+        DSTS ${dst_dir} ${dst_dir}/lib
+        DEPS glog
+        )
 
 set(dst_dir "${FLUID_INSTALL_DIR}/third_party/boost/")
 copy(boost_lib
-  SRCS ${BOOST_INCLUDE_DIR}/boost
-  DSTS ${dst_dir}
-  DEPS boost
-)
+        SRCS ${BOOST_INCLUDE_DIR}/boost
+        DSTS ${dst_dir}
+        DEPS boost
+        )
 
 set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/xxhash")
 copy(xxhash_lib
-  SRCS ${XXHASH_INCLUDE_DIR} ${XXHASH_LIBRARIES}
-  DSTS ${dst_dir} ${dst_dir}/lib
-  DEPS xxhash
-)
+        SRCS ${XXHASH_INCLUDE_DIR} ${XXHASH_LIBRARIES}
+        DSTS ${dst_dir} ${dst_dir}/lib
+        DEPS xxhash
+        )
 
-if(NOT PROTOBUF_FOUND)
+if (NOT PROTOBUF_FOUND)
     set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/protobuf")
     copy(protobuf_lib
-      SRCS ${PROTOBUF_INCLUDE_DIR} ${PROTOBUF_LIBRARY}
-      DSTS ${dst_dir} ${dst_dir}/lib
-      DEPS extern_protobuf
-    )
-endif()
+            SRCS ${PROTOBUF_INCLUDE_DIR} ${PROTOBUF_LIBRARY}
+            DSTS ${dst_dir} ${dst_dir}/lib
+            DEPS extern_protobuf
+            )
+endif ()
 
-if(NOT CBLAS_FOUND)
+if (NOT CBLAS_FOUND)
     set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/openblas")
     copy(openblas_lib
-      SRCS ${CBLAS_INSTALL_DIR}/lib ${CBLAS_INSTALL_DIR}/include
-      DSTS ${dst_dir} ${dst_dir}
-      DEPS extern_openblas
-    )
+            SRCS ${CBLAS_INSTALL_DIR}/lib ${CBLAS_INSTALL_DIR}/include
+            DSTS ${dst_dir} ${dst_dir}
+            DEPS extern_openblas
+            )
 elseif (WITH_MKLML)
     set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/mklml")
     copy(mklml_lib
-      SRCS ${MKLML_LIB} ${MKLML_IOMP_LIB} ${MKLML_INC_DIR}
-      DSTS ${dst_dir}/lib ${dst_dir}/lib ${dst_dir}
-      DEPS mklml
-    )
-endif()
-
-if(WITH_MKLDNN)
-  set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/mkldnn")
-  copy(mkldnn_lib
-    SRCS ${MKLDNN_INC_DIR} ${MKLDNN_SHARED_LIB}
-    DSTS ${dst_dir} ${dst_dir}/lib
-    DEPS mkldnn
-  )
-endif()
+            SRCS ${MKLML_LIB} ${MKLML_IOMP_LIB} ${MKLML_INC_DIR}
+            DSTS ${dst_dir}/lib ${dst_dir}/lib ${dst_dir}
+            DEPS mklml
+            )
+endif ()
+
+if (WITH_MKLDNN)
+    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/mkldnn")
+    copy(mkldnn_lib
+            SRCS ${MKLDNN_INC_DIR} ${MKLDNN_SHARED_LIB}
+            DSTS ${dst_dir} ${dst_dir}/lib
+            DEPS mkldnn
+            )
+endif ()
 
 if (NOT WIN32)
-if(NOT MOBILE_INFERENCE AND NOT RPI)
-  set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappy")
-  copy(snappy_lib
-    SRCS ${SNAPPY_INCLUDE_DIR} ${SNAPPY_LIBRARIES}
-    DSTS ${dst_dir} ${dst_dir}/lib
-    DEPS snappy)
-
-  set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappystream")
-  copy(snappystream_lib
-    SRCS ${SNAPPYSTREAM_INCLUDE_DIR} ${SNAPPYSTREAM_LIBRARIES}
-    DSTS ${dst_dir} ${dst_dir}/lib
-    DEPS snappystream)
-
-  set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/zlib")
-  copy(zlib_lib
-    SRCS ${ZLIB_INCLUDE_DIR} ${ZLIB_LIBRARIES}
-    DSTS ${dst_dir} ${dst_dir}/lib
-    DEPS zlib)
-endif()
-endif(NOT WIN32)
+    if (NOT MOBILE_INFERENCE AND NOT RPI)
+        set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappy")
+        copy(snappy_lib
+                SRCS ${SNAPPY_INCLUDE_DIR} ${SNAPPY_LIBRARIES}
+                DSTS ${dst_dir} ${dst_dir}/lib
+                DEPS snappy)
+
+        set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappystream")
+        copy(snappystream_lib
+                SRCS ${SNAPPYSTREAM_INCLUDE_DIR} ${SNAPPYSTREAM_LIBRARIES}
+                DSTS ${dst_dir} ${dst_dir}/lib
+                DEPS snappystream)
+
+        set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/zlib")
+        copy(zlib_lib
+                SRCS ${ZLIB_INCLUDE_DIR} ${ZLIB_LIBRARIES}
+                DSTS ${dst_dir} ${dst_dir}/lib
+                DEPS zlib)
+    endif ()
+endif (NOT WIN32)
 
 # paddle fluid module
 set(src_dir "${PADDLE_SOURCE_DIR}/paddle/fluid")
 set(dst_dir "${FLUID_INSTALL_DIR}/paddle/fluid")
 set(module "framework")
 if (NOT WIN32)
-set(framework_lib_deps framework_py_proto)
-endif(NOT WIN32)
+    set(framework_lib_deps framework_py_proto)
+endif (NOT WIN32)
 copy(framework_lib DEPS ${framework_lib_deps}
-  SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/details/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/framework/framework.pb.h
-       ${src_dir}/${module}/ir/*.h
-  DSTS ${dst_dir}/${module} ${dst_dir}/${module}/details ${dst_dir}/${module} ${dst_dir}/${module}/ir
-)
+        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/details/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/framework/framework.pb.h
+        ${src_dir}/${module}/ir/*.h
+        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/details ${dst_dir}/${module} ${dst_dir}/${module}/ir
+        )
 
 set(module "memory")
 copy(memory_lib
-  SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/detail/*.h
-  DSTS ${dst_dir}/${module} ${dst_dir}/${module}/detail
-)
+        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/detail/*.h
+        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/detail
+        )
 
 set(inference_deps paddle_fluid_shared paddle_fluid)
 
 set(module "inference/api")
 if (WITH_ANAKIN AND WITH_MKL)
     copy(anakin_inference_lib DEPS paddle_inference_api inference_anakin_api
-        SRCS
-        ${PADDLE_BINARY_DIR}/paddle/fluid/inference/api/libinference_anakin_api* # compiled anakin api
-        ${ANAKIN_INSTALL_DIR} # anakin release
-        DSTS ${FLUID_INSTALL_DIR}/third_party/install/anakin ${FLUID_INSTALL_DIR}/third_party/install/anakin)
-     list(APPEND inference_deps anakin_inference_lib)
-endif()
+            SRCS
+            ${PADDLE_BINARY_DIR}/paddle/fluid/inference/api/libinference_anakin_api* # compiled anakin api
+            ${ANAKIN_INSTALL_DIR} # anakin release
+            DSTS ${FLUID_INSTALL_DIR}/third_party/install/anakin ${FLUID_INSTALL_DIR}/third_party/install/anakin)
+    list(APPEND inference_deps anakin_inference_lib)
+endif ()
 
 set(module "inference")
 copy(inference_lib DEPS ${inference_deps}
@@ -167,30 +188,30 @@ copy(inference_lib DEPS ${inference_deps}
        ${src_dir}/${module}/api/paddle_*.h
        ${PADDLE_BINARY_DIR}/paddle/fluid/inference/api/paddle_inference_pass.h
   DSTS ${dst_dir}/${module} ${dst_dir}/${module} ${dst_dir}/${module} ${dst_dir}/${module}
-)
+        )
 
 set(module "platform")
 copy(platform_lib DEPS profiler_py_proto
-  SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/dynload/*.h ${src_dir}/${module}/details/*.h
-  DSTS ${dst_dir}/${module} ${dst_dir}/${module}/dynload ${dst_dir}/${module}/details
-)
+        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/dynload/*.h ${src_dir}/${module}/details/*.h
+        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/dynload ${dst_dir}/${module}/details
+        )
 
 set(module "string")
 copy(string_lib
-  SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/tinyformat/*.h
-  DSTS ${dst_dir}/${module} ${dst_dir}/${module}/tinyformat
-)
+        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/tinyformat/*.h
+        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/tinyformat
+        )
 
 set(module "pybind")
 copy(pybind_lib
-  SRCS ${CMAKE_CURRENT_BINARY_DIR}/paddle/fluid/${module}/pybind.h
-  DSTS ${dst_dir}/${module}
-)
+        SRCS ${CMAKE_CURRENT_BINARY_DIR}/paddle/fluid/${module}/pybind.h
+        DSTS ${dst_dir}/${module}
+        )
 
 # CMakeCache Info
 copy(cmake_cache
-  SRCS ${CMAKE_CURRENT_BINARY_DIR}/CMakeCache.txt
-  DSTS ${FLUID_INSTALL_DIR})
+        SRCS ${CMAKE_CURRENT_BINARY_DIR}/CMakeCache.txt
+        DSTS ${FLUID_INSTALL_DIR})
 
 # This command generates a complete fluid library for both train and inference
 add_custom_target(fluid_lib_dist DEPENDS ${fluid_lib_dist_dep})
@@ -198,9 +219,9 @@ add_custom_target(fluid_lib_dist DEPENDS ${fluid_lib_dist_dep})
 # Following commands generate a inference-only fluid library
 # third_party, version.txt and CMakeCache.txt are the same position with ${FLUID_INSTALL_DIR}
 copy(third_party DEPS fluid_lib_dist
-  SRCS ${FLUID_INSTALL_DIR}/third_party ${FLUID_INSTALL_DIR}/CMakeCache.txt
-  DSTS ${FLUID_INFERENCE_INSTALL_DIR} ${FLUID_INFERENCE_INSTALL_DIR}
-)
+        SRCS ${FLUID_INSTALL_DIR}/third_party ${FLUID_INSTALL_DIR}/CMakeCache.txt
+        DSTS ${FLUID_INFERENCE_INSTALL_DIR} ${FLUID_INFERENCE_INSTALL_DIR}
+        )
 
 # only need libpaddle_fluid.so/a and paddle_*.h for inference-only library
 copy(inference_api_lib DEPS fluid_lib_dist
@@ -213,20 +234,20 @@ add_custom_target(inference_lib_dist DEPENDS third_party inference_api_lib)
 
 # paddle fluid version
 function(version version_file)
-  execute_process(
-    COMMAND ${GIT_EXECUTABLE} log --pretty=format:%H -1
-    WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}
-    OUTPUT_VARIABLE PADDLE_GIT_COMMIT)
-  file(WRITE ${version_file}
-    "GIT COMMIT ID: ${PADDLE_GIT_COMMIT}\n"
-    "WITH_MKL: ${WITH_MKL}\n"
-    "WITH_MKLDNN: ${WITH_MKLDNN}\n"
-    "WITH_GPU: ${WITH_GPU}\n")
-  if(WITH_GPU)
-    file(APPEND ${version_file}
-      "CUDA version: ${CUDA_VERSION}\n"
-      "CUDNN version: v${CUDNN_MAJOR_VERSION}\n")
-  endif()
+    execute_process(
+            COMMAND ${GIT_EXECUTABLE} log --pretty=format:%H -1
+            WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}
+            OUTPUT_VARIABLE PADDLE_GIT_COMMIT)
+    file(WRITE ${version_file}
+            "GIT COMMIT ID: ${PADDLE_GIT_COMMIT}\n"
+            "WITH_MKL: ${WITH_MKL}\n"
+            "WITH_MKLDNN: ${WITH_MKLDNN}\n"
+            "WITH_GPU: ${WITH_GPU}\n")
+    if (WITH_GPU)
+        file(APPEND ${version_file}
+                "CUDA version: ${CUDA_VERSION}\n"
+                "CUDNN version: v${CUDNN_MAJOR_VERSION}\n")
+    endif ()
 endfunction()
 version(${FLUID_INSTALL_DIR}/version.txt)
 version(${FLUID_INFERENCE_INSTALL_DIR}/version.txt)

doc/v2/dev/contribute_to_paddle_en.md

-../../../CONTRIBUTING.md
+../../../CONTRIBUTING.md
\ No newline at end of file

paddle/fluid/CMakeLists.txt

@@ -4,11 +4,12 @@ add_subdirectory(framework)
 add_subdirectory(operators)
 add_subdirectory(string)
 
-if (NOT WIN32)
 add_subdirectory(pybind)
+if (NOT WIN32)
 add_subdirectory(recordio)
 endif(NOT WIN32)
 
 # NOTE: please add subdirectory inference at last.
 add_subdirectory(inference)
+
 add_subdirectory(train)

paddle/fluid/framework/CMakeLists.txt

@@ -137,23 +137,31 @@ cc_test(version_test SRCS version_test.cc DEPS version)
 
 cc_library(proto_desc SRCS var_desc.cc op_desc.cc block_desc.cc program_desc.cc DEPS shape_inference op_info operator glog version)
 cc_library(ngraph_bridge SRCS ngraph_bridge.cc DEPS operator framework_proto)
+if(NOT WIN32)
 cc_library(ngraph_operator SRCS ngraph_operator.cc DEPS ngraph_bridge operator op_info device_context tensor scope glog
   shape_inference data_transform lod_tensor profiler)
-
+endif(NOT WIN32)
 
 cc_library(op_registry SRCS op_registry.cc DEPS op_proto_maker op_info operator glog proto_desc)
 nv_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry)
 
-if (NOT WIN32)
 py_proto_compile(framework_py_proto SRCS framework.proto)
 # Generate an empty __init__.py to make framework_py_proto as a valid python module.
 add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
 add_dependencies(framework_py_proto framework_py_proto_init)
-add_custom_command(TARGET framework_py_proto POST_BUILD
-    COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto
-    COMMAND cp *.py ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto/
-    COMMENT "Copy generated python proto into directory paddle/fluid/proto."
-    WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
+if (NOT WIN32)
+  add_custom_command(TARGET framework_py_proto POST_BUILD
+      COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto
+      COMMAND cp *.py ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto/
+      COMMENT "Copy generated python proto into directory paddle/fluid/proto."
+      WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
+else(NOT WIN32)
+  string(REPLACE "/" "\\" proto_dstpath "${PADDLE_BINARY_DIR}/python/paddle/fluid/proto/")
+  add_custom_command(TARGET framework_py_proto POST_BUILD
+          COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto
+          COMMAND copy /Y *.py ${proto_dstpath}
+          COMMENT "Copy generated python proto into directory paddle/fluid/proto."
+          WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
 endif(NOT WIN32)
 
 cc_library(lod_rank_table SRCS lod_rank_table.cc DEPS lod_tensor)
@@ -167,7 +175,11 @@ if(WITH_DISTRIBUTE)
   set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
   set_source_files_properties(executor.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
 else()
-  cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass ngraph_operator)
+  if(NOT WIN32)
+    cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass ngraph_operator)
+  else(NOT WIN32)
+    cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto glog lod_rank_table feed_fetch_method graph_to_program_pass)
+  endif(NOT WIN32)
   cc_test(test_naive_executor SRCS naive_executor_test.cc DEPS naive_executor elementwise_add_op)
 endif()
 

paddle/fluid/framework/garbage_collector.h

@@ -29,7 +29,7 @@ template <typename T>
 class GarbageCollector {
  public:
   GarbageCollector(const platform::Place &place, size_t max_memory_size)
-      : max_memory_size_(std::max(max_memory_size, static_cast<size_t>(1))) {
+      : max_memory_size_((std::max)(max_memory_size, static_cast<size_t>(1))) {
     garbages_.reset(new std::deque<T *>());
     dev_ctx_ = platform::DeviceContextPool::Instance().Get(place);
   }

paddle/fluid/framework/ir/attention_lstm_fuse_pass.cc

@@ -211,12 +211,12 @@ void PrepareLSTMWeight(const LoDTensor& W_forget_w0,
   VLOG(30) << "LSTMWeight resized to " << out->dims();
 
   float* out_data = out->mutable_data<float>(platform::CPUPlace());
-  std::array<const float*, 4> tensors(
-      {{W_forget_w0.data<float>(), W_input_w0.data<float>(),
-        W_output_w0.data<float>(), W_cell_w0.data<float>()}});
-  std::array<const float*, 4> tensors1(
-      {{W_forget_w1.data<float>(), W_input_w1.data<float>(),
-        W_output_w1.data<float>(), W_cell_w1.data<float>()}});
+  std::array<const float*, 4> tensors{
+      W_forget_w0.data<float>(), W_input_w0.data<float>(),
+      W_output_w0.data<float>(), W_cell_w0.data<float>()};
+  std::array<const float*, 4> tensors1{
+      W_forget_w1.data<float>(), W_input_w1.data<float>(),
+      W_output_w1.data<float>(), W_cell_w1.data<float>()};
 
   for (int row = 0; row < D; row++) {
     for (int col = 0; col < 4; col++) {
@@ -238,9 +238,9 @@ void PrepareLSTMWeight(const LoDTensor& W_forget_w0,
 void PrepareLSTMBias(const LoDTensor& B_forget, const LoDTensor& B_input,
                      const LoDTensor& B_output, const LoDTensor& B_cell,
                      LoDTensor* out) {
-  std::array<const float*, 4> tensors(
-      {{B_forget.data<float>(), B_input.data<float>(), B_output.data<float>(),
-        B_cell.data<float>()}});
+  std::array<const float*, 4> tensors{
+      B_forget.data<float>(), B_input.data<float>(), B_output.data<float>(),
+      B_cell.data<float>()};
 
   PADDLE_ENFORCE_EQ(B_forget.dims().size(), 1);
   int D = B_forget.dims()[0];

paddle/fluid/framework/ir/node.cc

@@ -17,7 +17,12 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 namespace ir {
+// msvc15 don't support constexpr in correct way.
+#if !defined(_WIN32)
 constexpr char Node::kControlDepVarName[];
+#else
+const char Node::kControlDepVarName[] = "__control_var";
+#endif
 
 std::unique_ptr<Node> CreateNodeForTest(const std::string& name,
                                         Node::Type type) {

paddle/fluid/framework/ir/node.h

@@ -55,7 +55,11 @@ class Node {
   }
 
   enum class Type { kOperation, kVariable };
+#if !defined(_WIN32)  // msvc not support constexpr correctly.
   static constexpr char kControlDepVarName[] = "__control_var";
+#else
+  static const char kControlDepVarName[];
+#endif
 
   Type NodeType() const { return type_; }
 

paddle/fluid/framework/ir/pass.h

@@ -197,26 +197,26 @@ struct PassRegistrar : public Registrar {
                 msg)
 
 // Register a new pass that can be applied on the IR.
-#define REGISTER_PASS(pass_type, pass_class)                          \
-  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                                \
-      __reg_pass__##pass_type,                                        \
-      "REGISTER_PASS must be called in global namespace");            \
-  static ::paddle::framework::ir::PassRegistrar<pass_class>           \
-      __pass_registrar_##pass_type##__(#pass_type);                   \
-  int TouchPassRegistrar_##pass_type() {                              \
-    __pass_registrar_##pass_type##__.Touch();                         \
-    return 0;                                                         \
-  }                                                                   \
-  static ::paddle::framework::ir::PassRegistrar<pass_class>           \
-      &__pass_tmp_registrar_##pass_type##__ __attribute__((unused)) = \
+#define REGISTER_PASS(pass_type, pass_class)                \
+  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                      \
+      __reg_pass__##pass_type,                              \
+      "REGISTER_PASS must be called in global namespace");  \
+  static ::paddle::framework::ir::PassRegistrar<pass_class> \
+      __pass_registrar_##pass_type##__(#pass_type);         \
+  int TouchPassRegistrar_##pass_type() {                    \
+    __pass_registrar_##pass_type##__.Touch();               \
+    return 0;                                               \
+  }                                                         \
+  static ::paddle::framework::ir::PassRegistrar<pass_class> \
+      &__pass_tmp_registrar_##pass_type##__ UNUSED =        \
           __pass_registrar_##pass_type##__
 
-#define USE_PASS(pass_type)                                           \
-  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                                \
-      __use_pass_itself_##pass_type,                                  \
-      "USE_PASS must be called in global namespace");                 \
-  extern int TouchPassRegistrar_##pass_type();                        \
-  static int use_pass_itself_##pass_type##_ __attribute__((unused)) = \
+#define USE_PASS(pass_type)                           \
+  STATIC_ASSERT_PASS_GLOBAL_NAMESPACE(                \
+      __use_pass_itself_##pass_type,                  \
+      "USE_PASS must be called in global namespace"); \
+  extern int TouchPassRegistrar_##pass_type();        \
+  static int use_pass_itself_##pass_type##_ UNUSED =  \
       TouchPassRegistrar_##pass_type()
 
 }  // namespace ir

paddle/fluid/framework/operator.cc

@@ -150,14 +150,17 @@ void OperatorBase::Run(const Scope& scope, const platform::Place& place) {
 #endif
   }
 
-  // The profile has a process-wide mutex, results in serious performance issue
-  // in concurrency scenerio. Here use an `if` to fix this issue.
-  // Please not remove the `if`, ask @Superjomn if there are any concern.
+// The profile has a process-wide mutex, results in serious performance issue
+// in concurrency scenerio. Here use an `if` to fix this issue.
+// Please not remove the `if`, ask @Superjomn if there are any concern.
+#ifndef _WIN32
   if (platform::IsProfileEnabled()) {
     platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
     platform::RecordEvent record_event(Type(), pool.Get(place));
     RunImpl(scope, place);
-  } else {
+  } else
+#endif
+  {
     RunImpl(scope, place);
   }
   VLOG(30) << place << " " << DebugStringEx(&scope);

paddle/fluid/inference/CMakeLists.txt

@@ -16,9 +16,21 @@ cc_library(paddle_fluid_api
     DEPS ${FLUID_CORE_MODULES} ${GLOB_OP_LIB}) 
 
 get_property(fluid_modules GLOBAL PROPERTY FLUID_MODULES)
+get_property(cuda_modules GLOBAL PROPERTY CUDA_MODULES)
+get_property(fluid_third_partys GLOBAL PROPERTY FLUID_THRID_PARTYS)
+if (WIN32)
+list(APPEND fluid_third_partys gflags glog protobuf cblas)
+endif(WIN32)
 
 # paddle_fluid_origin exclude inference api interface
-cc_library(paddle_fluid_origin DEPS ${fluid_modules} paddle_fluid_api)
+if(WIN32)
+  sep_library(paddle_fluid_origin DEPS ${fluid_modules} paddle_fluid_api)
+  if(WITH_GPU AND NOT WITH_DSO)
+    target_link_libraries(paddle_fluid_origin ${cuda_modules})
+  endif(WITH_GPU AND NOT WITH_DSO)
+else(WIN32)
+  cc_library(paddle_fluid_origin DEPS ${fluid_modules} paddle_fluid_api)
+endif(WIN32)
 
 add_subdirectory(api)
 
@@ -28,8 +40,16 @@ set(SHARED_INFERENCE_SRCS
     ${CMAKE_CURRENT_SOURCE_DIR}/api/analysis_predictor.cc
     ${CMAKE_CURRENT_SOURCE_DIR}/api/details/zero_copy_tensor.cc)
 
-# Create static library
-cc_library(paddle_fluid DEPS ${fluid_modules} ${STATIC_INFERENCE_APIS} zero_copy_tensor reset_tensor_array analysis_config paddle_pass_builder)
+if(WIN32)
+  sep_library(paddle_fluid DEPS ${fluid_modules} ${STATIC_INFERENCE_APIS} zero_copy_tensor reset_tensor_array
+    analysis_config paddle_pass_builder)
+  if(WITH_GPU AND NOT WITH_DSO)
+    target_link_libraries(paddle_fluid ${cuda_modules})
+  endif(WITH_GPU AND NOT WITH_DSO)
+else(WIN32)
+  cc_library(paddle_fluid DEPS ${fluid_modules} ${STATIC_INFERENCE_APIS} zero_copy_tensor reset_tensor_array
+    analysis_config paddle_pass_builder)
+endif(WIN32)
 
 if(NOT APPLE)
   # TODO(liuyiqu: Temporarily disable the link flag because it is not support on Mac.
@@ -38,11 +58,20 @@ if(NOT APPLE)
 endif()
 
 # Create shared library
-cc_library(paddle_fluid_shared SHARED SRCS ${SHARED_INFERENCE_SRCS}
-    DEPS ${fluid_modules} paddle_fluid_api reset_tensor_array analysis_config paddle_pass_builder)
+if(WIN32)
+  sep_library(paddle_fluid_shared SHARED SRCS ${SHARED_INFERENCE_SRCS}
+          DEPS ${fluid_modules} paddle_fluid_api reset_tensor_array analysis_config paddle_pass_builder)
+  target_link_libraries(paddle_fluid_shared shlwapi)
+  if(WITH_GPU AND NOT WITH_DSO)
+    target_link_libraries(paddle_fluid_origin ${cuda_modules})
+  endif(WITH_GPU AND NOT WITH_DSO)
+else(WIN32)
+  cc_library(paddle_fluid_shared SHARED SRCS ${SHARED_INFERENCE_SRCS}
+      DEPS ${fluid_modules} paddle_fluid_api reset_tensor_array analysis_config paddle_pass_builder)
+endif()
 
 set_target_properties(paddle_fluid_shared PROPERTIES OUTPUT_NAME paddle_fluid)
-if(NOT APPLE)
+if(NOT APPLE AND NOT WIN32)
   # TODO(liuyiqun): Temporarily disable the link flag because it is not support on Mac.
   set(LINK_FLAGS "-Wl,--version-script ${CMAKE_CURRENT_SOURCE_DIR}/paddle_fluid.map")
   set_target_properties(paddle_fluid_shared PROPERTIES LINK_FLAGS "${LINK_FLAGS}")

paddle/fluid/inference/analysis/helper.h

@@ -26,6 +26,7 @@ limitations under the License. */
 #include "paddle/fluid/framework/scope.h"
 #include "paddle/fluid/framework/variable.h"
 #include "paddle/fluid/platform/enforce.h"
+#include "paddle/fluid/platform/port.h"
 
 namespace paddle {
 namespace inference {
@@ -124,20 +125,6 @@ T &GetFromScope(const framework::Scope &scope, const std::string &name) {
   return *var->GetMutable<T>();
 }
 
-static void ExecShellCommand(const std::string &cmd, std::string *message) {
-  char buffer[128];
-  std::shared_ptr<FILE> pipe(popen(cmd.c_str(), "r"), pclose);
-  if (!pipe) {
-    LOG(ERROR) << "error running command: " << cmd;
-    return;
-  }
-  while (!feof(pipe.get())) {
-    if (fgets(buffer, 128, pipe.get()) != nullptr) {
-      *message += buffer;
-    }
-  }
-}
-
 static framework::proto::ProgramDesc LoadProgramDesc(
     const std::string &model_path) {
   std::ifstream fin(model_path, std::ios::in | std::ios::binary);

paddle/fluid/inference/api/helper.h

@@ -15,9 +15,14 @@
 #pragma once
 
 #include <glog/logging.h>
+#if !defined(_WIN32)
 #include <sys/time.h>
+#else
+#endif
+
 #include <algorithm>
 #include <chrono>  // NOLINT
+#include <iterator>
 #include <numeric>
 #include <sstream>
 #include <string>

paddle/fluid/operators/CMakeLists.txt

@@ -94,7 +94,8 @@ function(op_library TARGET)
     # remove windows unsupported op, because windows has no nccl, no warpctc such ops.
     foreach(windows_unsupport_op "nccl_op" "gen_nccl_id_op" "warpctc_op" "hierarchical_sigmoid_op"
      "crf_decoding_op" "select_op" "lstmp_op" "gru_op" "fusion_gru_op" "lstm_op" "fusion_lstm_op" "cumsum_op"
-      "fusion_seqconv_eltadd_relu_op" "channel_send_op" "channel_create_op" "channel_close_op" "channel_recv_op")
+      "fusion_seqconv_eltadd_relu_op" "channel_send_op" "channel_create_op" "channel_close_op" "channel_recv_op"
+            "fusion_seqexpand_concat_fc_op" "attention_lstm_op" "fused_embedding_fc_lstm_op" "fc_op")
         if ("${TARGET}" STREQUAL "${windows_unsupport_op}")
           return()
         endif()
@@ -308,8 +309,10 @@ op_library(flatten_op DEPS reshape_op)
 op_library(sequence_pad_op DEPS sequence_padding)
 op_library(unstack_op DEPS stack_op)
 op_library(fake_quantize_op DEPS memory)
+if (NOT WIN32)
 op_library(crf_decoding_op DEPS jit_kernel)
 op_library(fusion_lstm_op DEPS jit_kernel)
+endif(NOT WIN32)
 if (WITH_GPU)
     op_library(conv_op DEPS vol2col depthwise_conv im2col)
     op_library(layer_norm_op DEPS cub)
@@ -325,8 +328,8 @@ op_library(save_op DEPS lod_tensor)
 op_library(load_op DEPS lod_tensor)
 op_library(save_combine_op DEPS lod_tensor)
 op_library(load_combine_op DEPS lod_tensor)
-op_library(tensor_array_to_tensor_op DEPS concat_op)
 op_library(concat_op DEPS concat_and_split)
+op_library(tensor_array_to_tensor_op DEPS concat_op)
 
 list(REMOVE_ITEM GENERAL_OPS ${DEPS_OPS})
 

paddle/fluid/operators/detection/roi_perspective_transform_op.cu

@@ -15,6 +15,10 @@ limitations under the License. */
 #include <algorithm>
 #include "paddle/fluid/framework/op_registry.h"
 #include "paddle/fluid/platform/cuda_primitives.h"
+#include "paddle/fluid/platform/float16.h"
+
+using paddle::platform::PADDLE_CUDA_NUM_THREADS;
+using paddle::platform::float16;
 
 namespace paddle {
 namespace operators {

paddle/fluid/operators/elementwise_op_function.h

@@ -111,6 +111,17 @@ class RowwiseTransformIterator<T, platform::CPUDeviceContext>
     return *this;
   }
 
+  RowwiseTransformIterator<T, platform::CPUDeviceContext> &operator+(int n) {
+    while (n-- > 0) {
+      ++i_;
+      if (UNLIKELY(i_ == n_)) {
+        i_ = 0;
+      }
+    }
+
+    return *this;
+  }
+
   bool operator==(const RowwiseTransformIterator<T, platform::CPUDeviceContext>
                       &rhs) const {
     return (ptr_ + i_) == &(*rhs);
@@ -149,6 +160,21 @@ class MidWiseTransformIterator<T, platform::CPUDeviceContext>
     return *this;
   }
 
+  MidWiseTransformIterator<T, platform::CPUDeviceContext> &operator+(int n) {
+    while (n-- > 0) {
+      ++j_;
+      if (UNLIKELY(j_ == post_)) {
+        ++i_;
+        j_ = 0;
+        if (UNLIKELY(i_ == n_)) {
+          i_ = 0;
+        }
+      }
+    }
+
+    return *this;
+  }
+
   bool operator==(const MidWiseTransformIterator<T, platform::CPUDeviceContext>
                       &rhs) const {
     return (ptr_ + i_) == &(*rhs);

paddle/fluid/operators/grid_sampler_op.h

@@ -63,7 +63,8 @@ static void CalcGridLocations(const platform::CPUDeviceContext& ctx,
   Tensor ones;
   ones.mutable_data<T>({n, h, w}, ctx.GetPlace());
   auto ones_t = EigenTensor<T, 3>::From(ones).setConstant(1.0);
-  Tensor half_xmax, half_ymax;
+  Tensor half_xmax;
+  Tensor half_ymax;
   half_xmax.mutable_data<T>({n, h, w}, ctx.GetPlace());
   auto half_xmax_t =
       EigenTensor<T, 3>::From(half_xmax).setConstant(0.5 * x_max);

paddle/fluid/operators/math/CMakeLists.txt

@@ -75,12 +75,13 @@ if(WITH_GPU)
 endif()
 cc_test(concat_test SRCS concat_test.cc DEPS concat_and_split)
 cc_test(cpu_vec_test SRCS cpu_vec_test.cc DEPS blas cpu_info)
-
-set(JIT_KERNEL_SRCS jit_kernel.cc jit_kernel_blas.cc jit_kernel_exp.cc jit_kernel_rnn.cc jit_kernel_crf_decode.cc)
-set(JIT_KERNEL_DEPS cpu_info cblas gflags enforce)
-if(WITH_XBYAK)
-    list(APPEND JIT_KERNEL_SRCS jit_gen.cc jit_code.cc)
-    list(APPEND JIT_KERNEL_DEPS xbyak)
-endif()
-cc_library(jit_kernel SRCS ${JIT_KERNEL_SRCS} DEPS ${JIT_KERNEL_DEPS})
-cc_test(jit_kernel_test SRCS jit_kernel_test.cc DEPS jit_kernel)
+if (NOT WIN32)
+    set(JIT_KERNEL_SRCS jit_kernel.cc jit_kernel_blas.cc jit_kernel_exp.cc jit_kernel_rnn.cc jit_kernel_crf_decode.cc)
+    set(JIT_KERNEL_DEPS cpu_info cblas gflags enforce)
+    if(WITH_XBYAK)
+        list(APPEND JIT_KERNEL_SRCS jit_gen.cc jit_code.cc)
+        list(APPEND JIT_KERNEL_DEPS xbyak)
+    endif()
+    cc_library(jit_kernel SRCS ${JIT_KERNEL_SRCS} DEPS ${JIT_KERNEL_DEPS})
+    cc_test(jit_kernel_test SRCS jit_kernel_test.cc DEPS jit_kernel)
+endif (NOT WIN32)

paddle/fluid/operators/pad_constant_like_op.cc

@@ -74,7 +74,7 @@ PadConstantLikeOp Operator.
 
 Pad input(Y) with a pad_value, the number of values padded to the edges of each
 axis is specified by the difference of the shape of X and Y.
-((0, shape_x_0 - shape_y_0), … (0, shape_x_n - shape_y_n)) unique pad widths for
+((0, shape_x_0 - shape_y_0), ... (0, shape_x_n - shape_y_n)) unique pad widths for
 each axis.
 The input should be a k-D tensor(k > 0 and k < 7). As an example:
 

paddle/fluid/operators/roi_pool_op.cc

@@ -122,7 +122,7 @@ class ROIPoolOpMaker : public framework::OpProtoAndCheckerMaker {
               "(Tensor), "
               "Argmaxes corresponding to indices in X used "
               "for gradient computation. Only output "
-              "if arg “is_test” is false.")
+              "if arg \"is_test\" is false.")
         .AsIntermediate();
     AddAttr<float>("spatial_scale",
                    "(float, default 1.0), "

paddle/fluid/operators/unpool_op.cc

@@ -57,8 +57,8 @@ class Unpool2dOpMaker : public framework::OpProtoAndCheckerMaker {
 Input shape is: $(N, C_{in}, H_{in}, W_{in})$, Output shape is:
 $(N, C_{out}, H_{out}, W_{out})$, where
 $$
-H_{out} = (H_{in}−1) * strides[0] − 2 * paddings[0] + ksize[0] \\
-W_{out} = (W_{in}−1) * strides[1] − 2 * paddings[1] + ksize[1]
+H_{out} = (H_{in}-1) * strides[0] - 2 * paddings[0] + ksize[0] \\
+W_{out} = (W_{in}-1) * strides[1] - 2 * paddings[1] + ksize[1]
 $$
 Paper: http://www.matthewzeiler.com/wp-content/uploads/2017/07/iccv2011.pdf
 )DOC");

paddle/fluid/platform/init.cc

@@ -112,6 +112,14 @@ void InitDevices(bool init_p2p, const std::vector<int> devices) {
   }
   places.emplace_back(platform::CPUPlace());
   platform::DeviceContextPool::Init(places);
+
+// windows has no support for openblas multi-thread
+#ifdef _WIN32
+  if (FLAGS_paddle_num_threads > 1) {
+    FLAGS_paddle_num_threads = 1;
+  }
+#endif
+
 #ifndef PADDLE_WITH_MKLDNN
   platform::SetNumThreads(FLAGS_paddle_num_threads);
 #endif
@@ -167,7 +175,9 @@ void InitGLOG(const std::string &prog_name) {
   // glog will not hold the ARGV[0] inside.
   // Use strdup to alloc a new string.
   google::InitGoogleLogging(strdup(prog_name.c_str()));
+#ifndef _WIN32
   google::InstallFailureSignalHandler();
+#endif
 }
 
 }  // namespace framework

paddle/fluid/platform/nccl_helper.h

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#ifndef _WIN32
 #pragma once
 
 #include <stdio.h>
@@ -149,3 +150,4 @@ struct NCCLContextMap {
 
 }  // namespace platform
 }  // namespace paddle
+#endif

paddle/fluid/platform/port.h

@@ -24,21 +24,16 @@
 #include "glog/logging.h"
 
 #if !defined(_WIN32)
-#define UNUSED __attribute__((unused))
 #include <dlfcn.h>     //  dladdr
 #include <execinfo.h>  // backtrace
 #include <sys/stat.h>
 #include <algorithm>  // std::accumulate
 #else
 #include <io.h>  // _popen, _pclose
+#include <stdio.h>
 #include <windows.h>
-#if defined(_WIN32)
 #include <numeric>  // std::accumulate in msvc
-#endif
-// windows version of __attribute__((unused))
-#define UNUSED __pragma(warning(suppress : 4100))
-
-#ifndef S_ISDIR  // windows port for sys/stat.h
+#ifndef S_ISDIR     // windows port for sys/stat.h
 #define S_ISDIR(mode) (((mode)&S_IFMT) == S_IFDIR)
 #endif  // S_ISDIR
 

paddle/fluid/platform/variant.h

@@ -42,3 +42,11 @@ limitations under the License. */
 #include <boost/mpl/comparison.hpp>
 #include <boost/mpl/less_equal.hpp>
 #include <boost/variant.hpp>
+
+// some platform-independent defintion
+#if defined(_WIN32)
+#define UNUSED
+#define __builtin_expect(EXP, C) (EXP)
+#else
+#define UNUSED __attribute__((unused))
+#endif

paddle/fluid/pybind/CMakeLists.txt

@@ -2,9 +2,9 @@
 set(PYBIND_DEPS pybind python proto_desc memory executor prune  feed_fetch_method pass_builder)
 set(PYBIND_SRCS pybind.cc exception.cc protobuf.cc const_value.cc)
 if(NOT WIN32)
-list(APPEND PYBIND_DEPS parallel_executor profiler)
-list(APPEND PYBIND_SRCS recordio.cc)
-endif()
+  list(APPEND PYBIND_DEPS parallel_executor profiler)
+  list(APPEND PYBIND_SRCS recordio.cc)
+endif(NOT WIN32)
 if(WITH_PYTHON)
   if(WITH_AMD_GPU)
     hip_library(paddle_pybind SHARED
@@ -21,5 +21,13 @@ if(WITH_PYTHON)
     endif(NOT APPLE AND NOT ANDROID AND NOT WIN32)
   endif(WITH_AMD_GPU)
 
+  if(WIN32)
+    if(WITH_GPU AND NOT WITH_DSO)
+      get_property(cuda_modules GLOBAL PROPERTY CUDA_MODULES)
+      target_link_libraries(paddle_pybind ${cuda_modules})
+    endif(WITH_GPU AND NOT WITH_DSO)
+    target_link_libraries(paddle_pybind shlwapi)
+  endif(WIN32)
+
   cc_test(tensor_py_test SRCS tensor_py_test.cc DEPS python)
 endif(WITH_PYTHON)

paddle/fluid/pybind/pybind.cc

@@ -21,6 +21,13 @@ limitations under the License. */
 #include <utility>
 #include <vector>
 
+#if defined(_WIN32)
+#define NOMINMAX
+#define GLOG_NO_ABBREVIATED_SEVERITIES  // msvc conflict logging with windows.h
+#define GOOGLE_GLOG_DLL_DECL
+#include <Windows.h>
+#endif
+
 #include "paddle/fluid/framework/executor.h"
 #include "paddle/fluid/framework/feed_fetch_method.h"
 #include "paddle/fluid/framework/framework.pb.h"
@@ -29,7 +36,9 @@ limitations under the License. */
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/lod_tensor_array.h"
 #include "paddle/fluid/framework/op_registry.h"
+#ifndef _WIN32
 #include "paddle/fluid/framework/parallel_executor.h"
+#endif
 #include "paddle/fluid/framework/prune.h"
 #include "paddle/fluid/framework/reader.h"
 #include "paddle/fluid/framework/selected_rows.h"
@@ -50,7 +59,9 @@ limitations under the License. */
 #include "paddle/fluid/string/to_string.h"
 
 #ifdef PADDLE_WITH_CUDA
+#ifndef _WIN32
 #include "paddle/fluid/operators/nccl/nccl_gpu_common.h"
+#endif
 #include "paddle/fluid/platform/cuda_profiler.h"
 #include "paddle/fluid/platform/gpu_info.h"
 #endif
@@ -340,22 +351,25 @@ All parameter, weight, gradient are variables in Paddle.
       .def("get_lod_tensor_array",
            [](Variable &self) { return self.GetMutable<LoDTensorArray>(); },
            py::return_value_policy::reference)
-#ifdef PADDLE_WITH_CUDA
+#if (defined(PADDLE_WITH_CUDA) && !defined(_WIN32))
       .def("get_communicator",
            [](Variable &self) -> platform::Communicator * {
              return self.GetMutable<platform::Communicator>();
            },
            py::return_value_policy::reference)
-#endif
       .def("get_reader",
            [](Variable &self) -> framework::ReaderHolder * {
              PADDLE_ENFORCE(self.IsType<framework::ReaderHolder>());
              return self.GetMutable<framework::ReaderHolder>();
            },
-           py::return_value_policy::reference);
+           py::return_value_policy::reference)
+#endif
+      ;
 
+#if !defined(_WIN32)
   py::class_<framework::ReaderHolder>(m, "Reader", "")
       .def("reset", &framework::ReaderHolder::ResetAll);
+#endif
 
   using LoDTensorBlockingQueue =
       ::paddle::operators::reader::LoDTensorBlockingQueue;
@@ -480,7 +494,7 @@ All parameter, weight, gradient are variables in Paddle.
 #endif
                 });;
 // clang-format on
-#ifdef PADDLE_WITH_CUDA
+#if (defined(PADDLE_WITH_CUDA) && !defined(_WIN32))
   py::class_<platform::Communicator>(m, "Communicator").def(py::init<>());
 #endif
   py::class_<platform::CUDAPlace>(m, "CUDAPlace")
@@ -617,11 +631,14 @@ All parameter, weight, gradient are variables in Paddle.
 #ifdef PADDLE_WITH_CUDA
   m.def("get_cuda_device_count", platform::GetCUDADeviceCount);
 
+#ifndef _WIN32
   m.def("nvprof_init", platform::CudaProfilerInit);
   m.def("nvprof_start", platform::CudaProfilerStart);
   m.def("nvprof_stop", platform::CudaProfilerStop);
 #endif
+#endif
 
+#ifndef _WIN32
   py::enum_<platform::ProfilerState>(m, "ProfilerState", py::arithmetic())
       .value("kDisabled", platform::ProfilerState::kDisabled)
       .value("kCPU", platform::ProfilerState::kCPU)
@@ -642,6 +659,7 @@ All parameter, weight, gradient are variables in Paddle.
   m.def("disable_profiler", platform::DisableProfiler);
   m.def("is_profiler_enabled", platform::IsProfileEnabled);
   m.def("reset_profiler", platform::ResetProfiler);
+#endif
 
   py::class_<ir::Pass, std::shared_ptr<ir::Pass>> pass(m, "Pass");
   pass.def(py::init())
@@ -670,6 +688,7 @@ All parameter, weight, gradient are variables in Paddle.
       .def("remove_pass",
            [](ir::PassBuilder &self, size_t idx) { self.RemovePass(idx); });
 
+#ifndef _WIN32
   // -- python binds for parallel executor.
   py::class_<ParallelExecutor> pe(m, "ParallelExecutor");
   py::class_<ExecutionStrategy> exec_strategy(pe, "ExecutionStrategy", R"DOC(
@@ -897,6 +916,7 @@ All parameter, weight, gradient are variables in Paddle.
       });
 
   BindRecordIOWriter(&m);
+#endif
   return m.ptr();
 }
 }  // namespace pybind

python/CMakeLists.txt

@@ -45,23 +45,42 @@ endif()
 
 configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.in
     ${CMAKE_CURRENT_BINARY_DIR}/setup.py)
-
-set(FLUID_CORE ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so)
-add_custom_command(OUTPUT ${FLUID_CORE}
-        COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${FLUID_CORE}
-        DEPENDS paddle_pybind)
+IF(WIN32)
+    # Python would use the .pyd by default under Windows series platform
+    set(FLUID_DST_DIR ${PADDLE_BINARY_DIR}/python/paddle/fluid/)
+    get_filename_component(openblas_refpath ${CBLAS_LIBRARIES} DIRECTORY)
+    set(FLUID_CORE ${FLUID_DST_DIR}/core.pyd)
+    add_custom_command(OUTPUT ${FLUID_CORE}
+            COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${FLUID_CORE}
+            COMMAND cmake -E copy ${openblas_refpath}/openblas.dll ${FLUID_DST_DIR}
+            DEPENDS paddle_pybind)
+ELSE()
+    set(FLUID_CORE ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so)
+    add_custom_command(OUTPUT ${FLUID_CORE}
+            COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${FLUID_CORE}
+            DEPENDS paddle_pybind)
+ENDIF()
 add_custom_target(copy_paddle_pybind ALL DEPENDS ${FLUID_CORE})
 
-
-add_custom_command(OUTPUT ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
-    COMMAND touch stub.cc
-    COMMAND cp -r ${PADDLE_SOURCE_DIR}/python/paddle ${PADDLE_BINARY_DIR}/python
-    COMMAND cp -r ${PADDLE_SOURCE_DIR}/paddle/py_paddle ${PADDLE_BINARY_DIR}/python/
-    COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
-    COMMAND ${CMAKE_COMMAND} -E touch ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
-    COMMAND ${CMAKE_COMMAND} -E remove_directory ${PADDLE_PYTHON_BUILD_DIR}/lib-python
-    COMMAND ${CMAKE_COMMAND} -E copy_directory ${PADDLE_PYTHON_BUILD_DIR}/lib.* ${PADDLE_PYTHON_BUILD_DIR}/lib-python
-    DEPENDS gen_proto_py copy_paddle_pybind ${FLUID_CORE} framework_py_proto profiler_py_proto ${PY_FILES} ${external_project_dependencies} ${COPY_PADDLE_MASTER})
+IF(WIN32)
+    add_custom_command(OUTPUT ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
+            COMMAND ${CMAKE_COMMAND} -E copy_directory ${PADDLE_SOURCE_DIR}/python/paddle ${PADDLE_BINARY_DIR}/python/paddle/
+            COMMAND ${CMAKE_COMMAND} -E copy_directory ${PADDLE_SOURCE_DIR}/paddle/py_paddle ${PADDLE_BINARY_DIR}/python/
+            COMMAND ${CMAKE_COMMAND} -E env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
+            COMMAND ${CMAKE_COMMAND} -E touch ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
+            COMMAND ${CMAKE_COMMAND} -E remove_directory ${PADDLE_PYTHON_BUILD_DIR}/lib-python
+            DEPENDS gen_proto_py copy_paddle_pybind ${FLUID_CORE} framework_py_proto profiler_py_proto ${PY_FILES} ${external_project_dependencies} ${COPY_PADDLE_MASTER})
+ELSE(WIN32)
+	add_custom_command(OUTPUT ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
+		COMMAND touch stub.cc
+		COMMAND cp -r ${PADDLE_SOURCE_DIR}/python/paddle ${PADDLE_BINARY_DIR}/python
+		COMMAND cp -r ${PADDLE_SOURCE_DIR}/paddle/py_paddle ${PADDLE_BINARY_DIR}/python/
+		COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
+		COMMAND ${CMAKE_COMMAND} -E touch ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
+		COMMAND ${CMAKE_COMMAND} -E remove_directory ${PADDLE_PYTHON_BUILD_DIR}/lib-python
+		COMMAND ${CMAKE_COMMAND} -E copy_directory ${PADDLE_PYTHON_BUILD_DIR}/lib* ${PADDLE_PYTHON_BUILD_DIR}/lib-python
+		DEPENDS gen_proto_py copy_paddle_pybind ${FLUID_CORE} framework_py_proto profiler_py_proto ${PY_FILES} ${external_project_dependencies} ${COPY_PADDLE_MASTER})
+ENDIF()
 
 set(paddle_python_deps ${PADDLE_PYTHON_BUILD_DIR}/.timestamp ${MKL_DEPENDS})
 if(NOT WITH_FLUID_ONLY)

python/paddle/fluid/__init__.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 from __future__ import print_function
+import os
 # import all class inside framework into fluid module
 from . import framework
 from .framework import *
@@ -111,12 +112,16 @@ def __bootstrap__():
     os.environ['OMP_NUM_THREADS'] = str(num_threads)
 
     read_env_flags = [
-        'use_pinned_memory', 'check_nan_inf', 'benchmark', 'warpctc_dir',
-        'eager_delete_scope', 'use_mkldnn', 'use_ngraph',
-        'initial_cpu_memory_in_mb', 'init_allocated_mem', 'free_idle_memory',
-        'paddle_num_threads', 'dist_threadpool_size', 'cpu_deterministic',
-        'eager_delete_tensor_gb', 'reader_queue_speed_test_mode'
+        'use_pinned_memory', 'check_nan_inf', 'benchmark', 'eager_delete_scope',
+        'use_mkldnn', 'use_ngraph', 'initial_cpu_memory_in_mb',
+        'init_allocated_mem', 'free_idle_memory', 'paddle_num_threads',
+        'dist_threadpool_size', 'eager_delete_tensor_gb',
+        'reader_queue_speed_test_mode'
     ]
+    if os.name != 'nt':
+        read_env_flags.append('warpctc_dir')
+        read_env_flags.append('cpu_deterministic')
+
     if core.is_compiled_with_dist():
         read_env_flags.append('rpc_deadline')
         read_env_flags.append('rpc_server_profile_path')

python/paddle/fluid/contrib/inferencer.py

@@ -15,13 +15,15 @@
 from __future__ import print_function
 
 import contextlib
+import os
 
 from .. import core
 
 from .. import executor
 from .. import framework
 from .. import io
-from .. import parallel_executor
+if os.name != 'nt':
+    from .. import parallel_executor
 from .. import unique_name
 from .trainer import check_and_get_place
 

python/paddle/fluid/contrib/trainer.py

@@ -28,7 +28,8 @@ from .. import framework
 from .. import io
 # optimizer is same as the parameter of Trainer.__init__. Rename it to opt_module
 from .. import optimizer as opt_module
-from .. import parallel_executor
+if os.name != 'nt':
+    from .. import parallel_executor
 from ..transpiler import distribute_transpiler
 
 __all__ = [

python/paddle/fluid/layers/io.py

@@ -15,6 +15,7 @@
 from __future__ import print_function
 import contextlib
 import multiprocessing
+import os
 import six
 import threading
 
@@ -346,70 +347,72 @@ def _copy_reader_create_op_(block, op):
     return new_op
 
 
-@templatedoc(op_type='create_recordio_file_reader')
-def open_recordio_file(filename,
-                       shapes,
-                       lod_levels,
-                       dtypes,
-                       pass_num=1,
-                       for_parallel=True):
-    """
-    ${comment}
-
-    Args:
-       filename(${filename_type}): ${filename_comment}.
-       shapes(list): List of tuples which declaring data shapes.
-       lod_levels(${lod_levels_type}): ${lod_levels_comment}.
-       dtypes(list): List of strs which declaring data type.
-       pass_num(int): Number of passes to run.
-       for_parallel(Bool): Set it as True if you are going to run
-            subsequent operators in parallel.
-
-    Returns:
-       ${out_comment}.
-
-    Examples:
-
-        >>> import paddle.fluid as fluid
-        >>> reader = fluid.layers.io.open_recordio_file(
-        >>>                               filename='./data.recordio',
-        >>>                               shapes=[(3,224,224), (1)],
-        >>>                               lod_levels=[0, 0],
-        >>>                               dtypes=['float32', 'int64'])
-        >>> # Via the reader, we can use 'read_file' layer to get data:
-        >>> image, label = fluid.layers.io.read_file(reader)
-    """
-    dtypes = [convert_np_dtype_to_dtype_(dt) for dt in dtypes]
-    shape_concat = []
-    ranks = []
+if os.name != 'nt':
+
+    @templatedoc(op_type='create_recordio_file_reader')
+    def open_recordio_file(filename,
+                           shapes,
+                           lod_levels,
+                           dtypes,
+                           pass_num=1,
+                           for_parallel=True):
+        """
+        ${comment}
+
+        Args:
+           filename(${filename_type}): ${filename_comment}.
+           shapes(list): List of tuples which declaring data shapes.
+           lod_levels(${lod_levels_type}): ${lod_levels_comment}.
+           dtypes(list): List of strs which declaring data type.
+           pass_num(int): Number of passes to run.
+           for_parallel(Bool): Set it as True if you are going to run
+                subsequent operators in parallel.
+
+        Returns:
+           ${out_comment}.
+
+        Examples:
+
+            >>> import paddle.fluid as fluid
+            >>> reader = fluid.layers.io.open_recordio_file(
+            >>>                               filename='./data.recordio',
+            >>>                               shapes=[(3,224,224), (1)],
+            >>>                               lod_levels=[0, 0],
+            >>>                               dtypes=['float32', 'int64'])
+            >>> # Via the reader, we can use 'read_file' layer to get data:
+            >>> image, label = fluid.layers.io.read_file(reader)
+        """
+        dtypes = [convert_np_dtype_to_dtype_(dt) for dt in dtypes]
+        shape_concat = []
+        ranks = []
 
-    for shape in shapes:
-        shape_concat.extend(shape)
-        ranks.append(len(shape))
+        for shape in shapes:
+            shape_concat.extend(shape)
+            ranks.append(len(shape))
 
-    var_name = unique_name('open_recordio_file')
+        var_name = unique_name('open_recordio_file')
 
-    startup_blk = default_startup_program().current_block()
-    startup_var = startup_blk.create_var(name=var_name)
-    startup_blk.append_op(
-        type='create_recordio_file_reader',
-        outputs={'Out': [startup_var]},
-        attrs={
-            'shape_concat': shape_concat,
-            'lod_levels': lod_levels,
-            'filename': filename,
-            'ranks': ranks
-        })
+        startup_blk = default_startup_program().current_block()
+        startup_var = startup_blk.create_var(name=var_name)
+        startup_blk.append_op(
+            type='create_recordio_file_reader',
+            outputs={'Out': [startup_var]},
+            attrs={
+                'shape_concat': shape_concat,
+                'lod_levels': lod_levels,
+                'filename': filename,
+                'ranks': ranks
+            })
 
-    startup_var.desc.set_dtypes(dtypes)
-    startup_var.persistable = True
-    main_prog_var = _copy_reader_var_(default_main_program().current_block(),
-                                      startup_var)
+        startup_var.desc.set_dtypes(dtypes)
+        startup_var.persistable = True
+        main_prog_var = _copy_reader_var_(
+            default_main_program().current_block(), startup_var)
 
-    if pass_num > 1:
-        main_prog_var = multi_pass(reader=main_prog_var, pass_num=pass_num)
+        if pass_num > 1:
+            main_prog_var = multi_pass(reader=main_prog_var, pass_num=pass_num)
 
-    return monkey_patch_reader_methods(main_prog_var)
+        return monkey_patch_reader_methods(main_prog_var)
 
 
 def random_data_generator(low, high, shapes, lod_levels, for_parallel=True):

python/paddle/fluid/layers/nn.py

@@ -18,6 +18,7 @@ All layers just related to the neural network.
 from __future__ import print_function
 
 import numpy as np
+import os
 from ..layer_helper import LayerHelper
 from ..initializer import Normal, Constant
 from ..framework import Variable, OpProtoHolder
@@ -341,126 +342,128 @@ def embedding(input,
     return tmp
 
 
-@templatedoc(op_type="lstm")
-def dynamic_lstm(input,
-                 size,
-                 h_0=None,
-                 c_0=None,
-                 param_attr=None,
-                 bias_attr=None,
-                 use_peepholes=True,
-                 is_reverse=False,
-                 gate_activation='sigmoid',
-                 cell_activation='tanh',
-                 candidate_activation='tanh',
-                 dtype='float32',
-                 name=None):
-    """
-    ${comment}
-
-    Args:
-        input (Variable): ${input_comment}
-        size (int): 4 * hidden size.
-        h_0(Variable): The initial hidden state is an optional input, default is zero.
-                       This is a tensor with shape (N x D), where N is the
-                       batch size and D is the hidden size.
-        c_0(Variable): The initial cell state is an optional input, default is zero.
-                       This is a tensor with shape (N x D), where N is the
-                       batch size. `h_0` and `c_0` can be NULL but only at the same time.
-        param_attr(ParamAttr|None): The parameter attribute for the learnable
-                               hidden-hidden weights.
-
-                               - Weights = {:math:`W_{ch}, W_{ih}, \
-                                                W_{fh}, W_{oh}`}
-                               - The shape is (D x 4D), where D is the hidden
-                                 size.
-
-                               If it is set to None or one attribute of ParamAttr,
-                               dynamic_lstm will create ParamAttr as param_attr.
-                               If the Initializer of the param_attr is not set, the
-                               parameter is initialized with Xavier. Default: None.
-        bias_attr (ParamAttr|None): The bias attribute for the learnable bias
-                              weights, which contains two parts, input-hidden
-                              bias weights and peephole connections weights if
-                              setting `use_peepholes` to `True`.
-
-                              1. `use_peepholes = False`
-                                 - Biases = {:math:`b_c, b_i, b_f, b_o`}.
-                                 - The shape is (1 x 4D).
-                              2. `use_peepholes = True`
-                                 - Biases = { :math:`b_c, b_i, b_f, b_o, W_{ic}, \
-                                                 W_{fc}, W_{oc}`}.
-                                 - The shape is (1 x 7D).
-
-                              If it is set to None or one attribute of ParamAttr,
-                              dynamic_lstm will create ParamAttr as bias_attr.
-                              If the Initializer of the bias_attr is not set,
-                              the bias is initialized zero. Default: None.
-        use_peepholes (bool): ${use_peepholes_comment}
-        is_reverse (bool): ${is_reverse_comment}
-        gate_activation (str): ${gate_activation_comment}
-        cell_activation (str): ${cell_activation_comment}
-        candidate_activation (str): ${candidate_activation_comment}
-        dtype (str): Data type. Choices = ["float32", "float64"], default "float32".
-        name (str|None): A name for this layer(optional). If set None, the layer
-                         will be named automatically.
+if os.name != 'nt':
 
-    Returns:
-        tuple: The hidden state, and cell state of LSTM. The shape of both \
-        is (T x D), and lod is the same with the `input`.
-
-    Examples:
-        .. code-block:: python
-
-            hidden_dim = 512
-            forward_proj = fluid.layers.fc(input=input_seq, size=hidden_dim * 4,
-                                           bias_attr=False)
-            forward, _ = fluid.layers.dynamic_lstm(
-                input=forward_proj, size=hidden_dim * 4, use_peepholes=False)
-    """
-    assert bias_attr is not False, "bias_attr should not be False in dynamic_lstmp."
-    helper = LayerHelper('lstm', **locals())
-    size = size // 4
-    weight = helper.create_parameter(
-        attr=helper.param_attr, shape=[size, 4 * size], dtype=dtype)
-    bias_size = [1, 7 * size]
-    if not use_peepholes:
-        bias_size[1] = 4 * size
-    bias = helper.create_parameter(
-        attr=helper.bias_attr, shape=bias_size, dtype=dtype, is_bias=True)
+    @templatedoc(op_type="lstm")
+    def dynamic_lstm(input,
+                     size,
+                     h_0=None,
+                     c_0=None,
+                     param_attr=None,
+                     bias_attr=None,
+                     use_peepholes=True,
+                     is_reverse=False,
+                     gate_activation='sigmoid',
+                     cell_activation='tanh',
+                     candidate_activation='tanh',
+                     dtype='float32',
+                     name=None):
+        """
+        ${comment}
+
+        Args:
+            input (Variable): ${input_comment}
+            size (int): 4 * hidden size.
+            h_0(Variable): The initial hidden state is an optional input, default is zero.
+                           This is a tensor with shape (N x D), where N is the
+                           batch size and D is the hidden size.
+            c_0(Variable): The initial cell state is an optional input, default is zero.
+                           This is a tensor with shape (N x D), where N is the
+                           batch size. `h_0` and `c_0` can be NULL but only at the same time.
+            param_attr(ParamAttr|None): The parameter attribute for the learnable
+                                   hidden-hidden weights.
+
+                                   - Weights = {:math:`W_{ch}, W_{ih}, \
+                                                    W_{fh}, W_{oh}`}
+                                   - The shape is (D x 4D), where D is the hidden
+                                     size.
+
+                                   If it is set to None or one attribute of ParamAttr,
+                                   dynamic_lstm will create ParamAttr as param_attr.
+                                   If the Initializer of the param_attr is not set, the
+                                   parameter is initialized with Xavier. Default: None.
+            bias_attr (ParamAttr|None): The bias attribute for the learnable bias
+                                  weights, which contains two parts, input-hidden
+                                  bias weights and peephole connections weights if
+                                  setting `use_peepholes` to `True`.
+
+                                  1. `use_peepholes = False`
+                                     - Biases = {:math:`b_c, b_i, b_f, b_o`}.
+                                     - The shape is (1 x 4D).
+                                  2. `use_peepholes = True`
+                                     - Biases = { :math:`b_c, b_i, b_f, b_o, W_{ic}, \
+                                                     W_{fc}, W_{oc}`}.
+                                     - The shape is (1 x 7D).
+
+                                  If it is set to None or one attribute of ParamAttr,
+                                  dynamic_lstm will create ParamAttr as bias_attr.
+                                  If the Initializer of the bias_attr is not set,
+                                  the bias is initialized zero. Default: None.
+            use_peepholes (bool): ${use_peepholes_comment}
+            is_reverse (bool): ${is_reverse_comment}
+            gate_activation (str): ${gate_activation_comment}
+            cell_activation (str): ${cell_activation_comment}
+            candidate_activation (str): ${candidate_activation_comment}
+            dtype (str): Data type. Choices = ["float32", "float64"], default "float32".
+            name (str|None): A name for this layer(optional). If set None, the layer
+                             will be named automatically.
+
+        Returns:
+            tuple: The hidden state, and cell state of LSTM. The shape of both \
+            is (T x D), and lod is the same with the `input`.
+
+        Examples:
+            .. code-block:: python
+
+                hidden_dim = 512
+                forward_proj = fluid.layers.fc(input=input_seq, size=hidden_dim * 4,
+                                               bias_attr=False)
+                forward, _ = fluid.layers.dynamic_lstm(
+                    input=forward_proj, size=hidden_dim * 4, use_peepholes=False)
+        """
+        assert bias_attr is not False, "bias_attr should not be False in dynamic_lstmp."
+        helper = LayerHelper('lstm', **locals())
+        size = size // 4
+        weight = helper.create_parameter(
+            attr=helper.param_attr, shape=[size, 4 * size], dtype=dtype)
+        bias_size = [1, 7 * size]
+        if not use_peepholes:
+            bias_size[1] = 4 * size
+        bias = helper.create_parameter(
+            attr=helper.bias_attr, shape=bias_size, dtype=dtype, is_bias=True)
 
-    hidden = helper.create_variable_for_type_inference(dtype)
-    cell = helper.create_variable_for_type_inference(dtype)
-    batch_gate = helper.create_variable_for_type_inference(dtype)
-    batch_cell_pre_act = helper.create_variable_for_type_inference(dtype)
-    inputs = {'Input': input, 'Weight': weight, 'Bias': bias}
-    batch_size = input.shape[0]
-    if h_0:
-        assert h_0.shape == (batch_size, size), \
-            'The shape of h0 should be (batch_size, %d)' % size
-        inputs['H0'] = h_0
-    if c_0:
-        assert c_0.shape == (batch_size, size), \
-            'The shape of c0 should be (batch_size, %d)' % size
-        inputs['C0'] = c_0
+        hidden = helper.create_variable_for_type_inference(dtype)
+        cell = helper.create_variable_for_type_inference(dtype)
+        batch_gate = helper.create_variable_for_type_inference(dtype)
+        batch_cell_pre_act = helper.create_variable_for_type_inference(dtype)
+        inputs = {'Input': input, 'Weight': weight, 'Bias': bias}
+        batch_size = input.shape[0]
+        if h_0:
+            assert h_0.shape == (batch_size, size), \
+                'The shape of h0 should be (batch_size, %d)' % size
+            inputs['H0'] = h_0
+        if c_0:
+            assert c_0.shape == (batch_size, size), \
+                'The shape of c0 should be (batch_size, %d)' % size
+            inputs['C0'] = c_0
 
-    helper.append_op(
-        type='lstm',
-        inputs=inputs,
-        outputs={
-            'Hidden': hidden,
-            'Cell': cell,
-            'BatchGate': batch_gate,
-            'BatchCellPreAct': batch_cell_pre_act
-        },
-        attrs={
-            'use_peepholes': use_peepholes,
-            'is_reverse': is_reverse,
-            'gate_activation': gate_activation,
-            'cell_activation': cell_activation,
-            'candidate_activation': candidate_activation
-        })
-    return hidden, cell
+        helper.append_op(
+            type='lstm',
+            inputs=inputs,
+            outputs={
+                'Hidden': hidden,
+                'Cell': cell,
+                'BatchGate': batch_gate,
+                'BatchCellPreAct': batch_cell_pre_act
+            },
+            attrs={
+                'use_peepholes': use_peepholes,
+                'is_reverse': is_reverse,
+                'gate_activation': gate_activation,
+                'cell_activation': cell_activation,
+                'candidate_activation': candidate_activation
+            })
+        return hidden, cell
 
 
 def dynamic_lstmp(input,
@@ -959,39 +962,43 @@ def linear_chain_crf(input, label, param_attr=None):
     return log_likelihood
 
 
-@templatedoc()
-def crf_decoding(input, param_attr, label=None):
-    """
-    ${comment}
+if os.name != 'nt':
 
-    Args:
-        input(${emission_type}): ${emission_comment}
+    @templatedoc()
+    def crf_decoding(input, param_attr, label=None):
+        """
+        ${comment}
 
-        param_attr(ParamAttr): The parameter attribute for training.
+        Args:
+            input(${emission_type}): ${emission_comment}
 
-        label(${label_type}): ${label_comment}
+            param_attr(ParamAttr): The parameter attribute for training.
 
-    Returns:
-        Variable: ${viterbi_path_comment}
+            label(${label_type}): ${label_comment}
 
-    Examples:
-        .. code-block:: python
+        Returns:
+            Variable: ${viterbi_path_comment}
 
-           crf_decode = layers.crf_decoding(
-                input=hidden, param_attr=ParamAttr(name="crfw"))
-    """
-    helper = LayerHelper('crf_decoding', **locals())
-    transition = helper.get_parameter(param_attr.name)
-    viterbi_path = helper.create_variable_for_type_inference(
-        dtype=helper.input_dtype())
-    helper.append_op(
-        type='crf_decoding',
-        inputs={"Emission": [input],
+        Examples:
+            .. code-block:: python
+
+               crf_decode = layers.crf_decoding(
+                    input=hidden, param_attr=ParamAttr(name="crfw"))
+        """
+        helper = LayerHelper('crf_decoding', **locals())
+        transition = helper.get_parameter(param_attr.name)
+        viterbi_path = helper.create_variable_for_type_inference(
+            dtype=helper.input_dtype())
+        helper.append_op(
+            type='crf_decoding',
+            inputs={
+                "Emission": [input],
                 "Transition": transition,
-                "Label": label},
-        outputs={"ViterbiPath": [viterbi_path]})
+                "Label": label
+            },
+            outputs={"ViterbiPath": [viterbi_path]})
 
-    return viterbi_path
+        return viterbi_path
 
 
 @templatedoc()
@@ -5538,42 +5545,48 @@ def label_smooth(label,
     return smooth_label
 
 
-@templatedoc()
-def roi_pool(input, rois, pooled_height=1, pooled_width=1, spatial_scale=1.0):
-    """
-    ${comment}
-
-    Args:
-        input (Variable): ${x_comment}
-        rois (Variable): ROIs (Regions of Interest) to pool over.
-        pooled_height (integer): ${pooled_height_comment} Default: 1
-        pooled_width (integer): ${pooled_width_comment} Default: 1
-        spatial_scale (float): ${spatial_scale_comment} Default: 1.0
-
-    Returns:
-        Variable: ${out_comment}.
-
-    Examples:
-        .. code-block:: python
-
-            pool_out = fluid.layers.roi_pool(input=x, rois=rois, 7, 7, 1.0)
-    """
-    helper = LayerHelper('roi_pool', **locals())
-    dtype = helper.input_dtype()
-    pool_out = helper.create_variable_for_type_inference(dtype)
-    argmaxes = helper.create_variable_for_type_inference(dtype='int32')
-    helper.append_op(
-        type="roi_pool",
-        inputs={"X": input,
-                "ROIs": rois},
-        outputs={"Out": pool_out,
-                 "Argmax": argmaxes},
-        attrs={
-            "pooled_height": pooled_height,
-            "pooled_width": pooled_width,
-            "spatial_scale": spatial_scale
-        })
-    return pool_out
+if os.name != 'nt':
+
+    @templatedoc()
+    def roi_pool(input,
+                 rois,
+                 pooled_height=1,
+                 pooled_width=1,
+                 spatial_scale=1.0):
+        """
+        ${comment}
+
+        Args:
+            input (Variable): ${x_comment}
+            rois (Variable): ROIs (Regions of Interest) to pool over.
+            pooled_height (integer): ${pooled_height_comment} Default: 1
+            pooled_width (integer): ${pooled_width_comment} Default: 1
+            spatial_scale (float): ${spatial_scale_comment} Default: 1.0
+
+        Returns:
+            Variable: ${out_comment}.
+
+        Examples:
+            .. code-block:: python
+
+                pool_out = fluid.layers.roi_pool(input=x, rois=rois, 7, 7, 1.0)
+        """
+        helper = LayerHelper('roi_pool', **locals())
+        dtype = helper.input_dtype()
+        pool_out = helper.create_variable_for_type_inference(dtype)
+        argmaxes = helper.create_variable_for_type_inference(dtype='int32')
+        helper.append_op(
+            type="roi_pool",
+            inputs={"X": input,
+                    "ROIs": rois},
+            outputs={"Out": pool_out,
+                     "Argmax": argmaxes},
+            attrs={
+                "pooled_height": pooled_height,
+                "pooled_width": pooled_width,
+                "spatial_scale": spatial_scale
+            })
+        return pool_out
 
 
 @templatedoc()

python/paddle/fluid/layers/ops.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 from __future__ import print_function
+import os
 from .layer_function_generator import generate_layer_fn, generate_layer_fn_noattr
 from .. import core
 from ..framework import convert_np_dtype_to_dtype_
@@ -99,27 +100,26 @@ Examples:
     >>> result = fluid.layers.hard_shrink(x=data, threshold=0.3)
 """
 
-__all__ += ['cumsum']
-
-_cum_sum_ = generate_layer_fn('cumsum')
-
-
-def cumsum(x, axis=None, exclusive=None, reverse=None):
-    locals_var = locals().keys()
-    kwargs = dict()
-    for name in locals_var:
-        val = locals()[name]
-        if val is not None:
-            kwargs[name] = val
-    return _cum_sum_(**kwargs)
-
-
-cumsum.__doc__ = _cum_sum_.__doc__ + """
-Examples:
-
-    >>> data = fluid.layers.data(name="input", shape=[32, 784])
-    >>> result = fluid.layers.cumsum(data, axis=0)
-"""
+if os.name != 'nt':
+    __all__ += ['cumsum']
+
+    _cum_sum_ = generate_layer_fn('cumsum')
+
+    def cumsum(x, axis=None, exclusive=None, reverse=None):
+        locals_var = locals().keys()
+        kwargs = dict()
+        for name in locals_var:
+            val = locals()[name]
+            if val is not None:
+                kwargs[name] = val
+        return _cum_sum_(**kwargs)
+
+    cumsum.__doc__ = _cum_sum_.__doc__ + """
+    Examples:
+    
+        >>> data = fluid.layers.data(name="input", shape=[32, 784])
+        >>> result = fluid.layers.cumsum(data, axis=0)
+    """
 
 __all__ += ['thresholded_relu']
 

python/requirements.txt

 requests==2.9.2
 numpy>=1.12,<=1.14 #TODO:change to ">=1.12" when numpy fix bug in 1.15 and higher version
 protobuf==3.1
-recordio>=0.1.0
+recordio>=0.1.0; sys_platform != 'win32'
 matplotlib==2.2.3 # TODO: let python3 paddlepaddle package use latest matplotlib
 rarfile
 scipy>=0.19.0

python/setup.py.in

@@ -9,7 +9,7 @@ class BinaryDistribution(Distribution):
 
 RC      = 0
 
-
+ext_name = '.dll' if os.name == 'nt' else '.so'
 
 def git_commit():
     try:
@@ -136,10 +136,13 @@ if '${WITH_FLUID_ONLY}'== 'OFF':
                    '${PADDLE_BINARY_DIR}/paddle/legacy/pserver/paddle_pserver_main',
                    '${PADDLE_BINARY_DIR}/paddle/scripts/paddle']
 
-package_data={'paddle.fluid': ['core.so']}
+package_data={'paddle.fluid': ['core' + (ext_name if os.name != 'nt' else '.pyd')]}
+if os.name == 'nt':
+    package_data['paddle.fluid'] += ['openblas' + ext_name]
+
 if '${WITH_FLUID_ONLY}'== 'OFF':
-    package_data['paddle.v2.master']=['libpaddle_master.so']
-    package_data['py_paddle']=['*.py','_swig_paddle.so']
+    package_data['paddle.v2.master']=['libpaddle_master' + ext_name]
+    package_data['py_paddle']=['*.py','_swig_paddle' +  + ext_name]
 
 package_dir={
     '': '${PADDLE_BINARY_DIR}/python',
@@ -153,13 +156,15 @@ if '${WITH_FLUID_ONLY}'== 'OFF':
     package_dir['py_paddle']='${PADDLE_BINARY_DIR}/python/py_paddle'
 
 # put all thirdparty libraries in paddle.libs
-package_data['paddle.libs']=['libwarpctc.so']
 libs_path='${PADDLE_BINARY_DIR}/python/paddle/libs'
-shutil.copy('${WARPCTC_LIBRARIES}', libs_path)
+if os.name != 'nt':
+    package_data['paddle.libs']= []
+    package_data['paddle.libs']=['libwarpctc' + ext_name]
+    shutil.copy('${WARPCTC_LIBRARIES}', libs_path)
 if '${WITH_MKL}' == 'ON':
     shutil.copy('${MKLML_LIB}', libs_path)
     shutil.copy('${MKLML_IOMP_LIB}', libs_path)
-    package_data['paddle.libs']+=['libmklml_intel.so','libiomp5.so']
+    package_data['paddle.libs']+=['libmklml_intel' + ext_name,'libiomp5' + ext_name]
 if '${CMAKE_BUILD_TYPE}' == 'Release':
     # only change rpath in Release mode.
     if '${WITH_MKLDNN}' == 'ON':
@@ -187,36 +192,47 @@ if '${WITH_NGRAPH}' == 'ON':
                                   '${NGRAPH_CPU_LIB_NAME}',
                                   '${NGRAPH_TBB_LIB_NAME}']
 # remove unused paddle/libs/__init__.py
-os.remove(libs_path+'/__init__.py')
+if os.path.isfile(libs_path+'/__init__.py'):
+    os.remove(libs_path+'/__init__.py')
 package_dir['paddle.libs']=libs_path
 
-# change rpath of core.so, add $ORIGIN/../libs/ to it.
-# The reason is that libwarpctc.so, libiomp5.so etc are in paddle.libs, and
-# core.so is in paddle.fluid, thus paddle/fluid/../libs will pointer to above libraries.
+# change rpath of core.ext, add $ORIGIN/../libs/ to it.
+# The reason is that libwarpctc.ext, libiomp5.ext etc are in paddle.libs, and
+# core.ext is in paddle.fluid, thus paddle/fluid/../libs will pointer to above libraries.
 # This operation will fix https://github.com/PaddlePaddle/Paddle/issues/3213
 if '${CMAKE_BUILD_TYPE}' == 'Release':
-    # only change rpath in Release mode, since in Debug mode, core.so is too large to be changed.
-    if "@APPLE@" == "1":
-        command = "install_name_tool -id \"@loader_path/../libs/\" ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so"
-    else:
-        command = "patchelf --set-rpath '$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/fluid/core.so"
-    if os.system(command) != 0:
-        raise Exception("patch core.so failed, command: %s" % command)
-    if '${WITH_FLUID_ONLY}'== 'OFF':
-        # change rpath of _swig_paddle.so.
+    if os.name != 'nt':
+        # only change rpath in Release mode, since in Debug mode, core.xx is too large to be changed.
         if "@APPLE@" == "1":
-            command = "install_name_tool -id \"@loader_path/../paddle/libs/\" ${PADDLE_BINARY_DIR}/python/py_paddle/_swig_paddle.so"
+            command = "install_name_tool -id \"@loader_path/../libs/\" ${PADDLE_BINARY_DIR}/python/paddle/fluid/core" + ext_name
         else:
-            command = "patchelf --set-rpath '$ORIGIN/../paddle/libs/' ${PADDLE_BINARY_DIR}/python/py_paddle/_swig_paddle.so"
+            command = "patchelf --set-rpath '$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/fluid/core" + ext_name
         if os.system(command) != 0:
-            raise Exception("patch _swig_paddle.so failed, command: %s" % command)
+            raise Exception("patch core.%s failed, command: %s" % (ext_name, command))
+        if '${WITH_FLUID_ONLY}'== 'OFF':
+            # change rpath of _swig_paddle.xx.
+            if "@APPLE@" == "1":
+                command = "install_name_tool -id \"@loader_path/../paddle/libs/\" ${PADDLE_BINARY_DIR}/python/py_paddle/_swig_paddle" + ext_name
+            else:
+                command = "patchelf --set-rpath '$ORIGIN/../paddle/libs/' ${PADDLE_BINARY_DIR}/python/py_paddle/_swig_paddle" + ext_name
+            if os.system(command) != 0:
+                raise Exception("patch _swig_paddle.%s failed, command: %s" % (ext_name, command))
+
+ext_modules = [Extension('_foo', ['stub.cc'])]
+if os.name == 'nt':
+    # fix the path separator under windows
+    fix_package_dir = {}
+    for k, v in package_dir.items():
+        fix_package_dir[k] = v.replace('/', '\\')
+    package_dir = fix_package_dir
+    ext_modules = []
 
 setup(name='${PACKAGE_NAME}',
       version='${PADDLE_VERSION}',
       description='Parallel Distributed Deep Learning',
       install_requires=setup_requires,
       packages=packages,
-      ext_modules=[Extension('_foo', ['stub.cc'])],
+      ext_modules=ext_modules,
       package_data=package_data,
       package_dir=package_dir,
       scripts=paddle_bins