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体验新版 GitCode,发现更多精彩内容 >>
提交
402d300e
编写于
12月 08, 2016
作者:
G
gangliao
提交者:
GitHub
12月 08, 2016
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差异文件
Merge pull request #728 from gangliao/upgradeCompiler
Upgrade compiler‘s minimum version
上级
81e2579c
613d7c81
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
57 addition
and
38 deletion
+57
-38
CMakeLists.txt
CMakeLists.txt
+2
-13
cmake/enableCXX11.cmake
cmake/enableCXX11.cmake
+0
-13
cmake/flags.cmake
cmake/flags.cmake
+46
-3
doc/getstarted/build_and_install/build_from_source.md
doc/getstarted/build_and_install/build_from_source.md
+9
-6
paddle/cuda/CMakeLists.txt
paddle/cuda/CMakeLists.txt
+0
-3
未找到文件。
CMakeLists.txt
浏览文件 @
402d300e
...
...
@@ -51,13 +51,7 @@ option(ON_TRAVIS "Running test on travis-ci or not." OFF)
option
(
ON_COVERALLS
"Generating code coverage data on coveralls or not."
OFF
)
option
(
COVERALLS_UPLOAD
"Uploading the generated coveralls json."
ON
)
if
(
NOT CMAKE_BUILD_TYPE
)
set
(
CMAKE_BUILD_TYPE
"RelWithDebInfo"
CACHE STRING
"Choose the type of build, options are: Debug Release RelWithDebInfo MinSizeRel"
FORCE
)
endif
()
include
(
enableCXX11
)
include
(
cpplint
)
include
(
ccache
)
if
(
WITH_RDMA
)
...
...
@@ -83,18 +77,13 @@ if(NOT WITH_GPU)
list
(
APPEND CMAKE_CXX_SOURCE_FILE_EXTENSIONS cu
)
else
()
if
(
${
CUDA_VERSION_MAJOR
}
GREATER 6
)
if
(
COMPILER_SUPPORT_CXX11
)
LIST
(
APPEND CUDA_NVCC_FLAGS -std=c++11
)
endif
()
if
(
${
CUDA_VERSION_MAJOR
}
VERSION_LESS 7
)
message
(
FATAL_ERROR
"Paddle need CUDA >= 7.0 to compile"
)
endif
()
# TODO(yuyang18): Change it to remove std=c++11 in cuda compile.
set
(
CUDA_PROPAGATE_HOST_FLAGS OFF
)
if
(
NOT CUDNN_FOUND
)
message
(
FATAL_ERROR
"Paddle need cudnn to compile"
)
endif
()
set
(
CUDA_NVCC_FLAGS
${
CUDA_NVCC_FLAGS
}
"-g -O3 --use_fast_math"
)
if
(
WITH_AVX
)
set
(
CUDA_NVCC_FLAGS
${
CUDA_NVCC_FLAGS
}
"-Xcompiler
${
AVX_FLAG
}
"
)
...
...
cmake/enableCXX11.cmake
已删除
100644 → 0
浏览文件 @
81e2579c
# Enable C++ 11 for GCC.
# NOTE: It's only tested for gcc.
include
(
CheckCXXCompilerFlag
)
CHECK_CXX_COMPILER_FLAG
(
"-std=c++11"
COMPILER_SUPPORT_CXX11
)
CHECK_CXX_COMPILER_FLAG
(
"-std=c++0x"
COMPILER_SUPPORT_CXX0X
)
if
(
COMPILER_SUPPORT_CXX11
)
set
(
CMAKE_CXX_FLAGS
"
${
CMAKE_CXX_FLAGS
}
-std=c++11"
)
elseif
(
COMPILER_SUPPORT_CXX0X
)
set
(
CMAKE_CXX_FLAGS
"
${
CMAKE_CXX_FLAGS
}
-std=c++0x"
)
else
()
message
(
FATAL_ERROR
"Your compiler must support c++11"
)
endif
()
\ No newline at end of file
cmake/flags.cmake
浏览文件 @
402d300e
...
...
@@ -2,6 +2,37 @@
include
(
CheckCXXCompilerFlag
)
include
(
CheckCCompilerFlag
)
include
(
CheckCXXSymbolExists
)
if
(
NOT CMAKE_BUILD_TYPE
)
set
(
CMAKE_BUILD_TYPE
"RelWithDebInfo"
CACHE STRING
"Choose the type of build, options are: Debug Release RelWithDebInfo MinSizeRel"
FORCE
)
endif
()
function
(
CheckCompilerCXX11Flag
)
if
(
CMAKE_CXX_COMPILER_ID STREQUAL
"GNU"
)
if
(
${
CMAKE_CXX_COMPILER_VERSION
}
VERSION_LESS 4.8
)
message
(
FATAL_ERROR
"Unsupported GCC version. GCC >= 4.8 required."
)
endif
()
elseif
(
CMAKE_CXX_COMPILER_ID STREQUAL
"AppleClang"
OR CMAKE_CXX_COMPILER_ID STREQUAL
"Clang"
)
# cmake >= 3.0 compiler id "AppleClang" on Mac OS X, otherwise "Clang"
# Apple Clang is a different compiler than upstream Clang which havs different version numbers.
# https://gist.github.com/yamaya/2924292
if
(
APPLE
)
# cmake < 3.0 compiler id "Clang" on Mac OS X
if
(
${
CMAKE_CXX_COMPILER_VERSION
}
VERSION_LESS 5.1
)
message
(
FATAL_ERROR
"Unsupported AppleClang version. AppleClang >= 5.1 required."
)
endif
()
else
()
if
(
${
CMAKE_CXX_COMPILER_VERSION
}
VERSION_LESS 3.3
)
message
(
FATAL_ERROR
"Unsupported Clang version. Clang >= 3.3 required."
)
endif
()
endif
()
endif
()
endfunction
()
CheckCompilerCXX11Flag
()
LIST
(
APPEND CMAKE_CXX_FLAGS -std=c++11
)
# safe_set_flag
#
# Set a compile flag only if compiler is support
...
...
@@ -41,9 +72,7 @@ macro(safe_set_nvflag flag_name)
CHECK_C_COMPILER_FLAG
(
${
flag_name
}
C_COMPILER_SUPPORT_FLAG_
${
safe_name
}
)
set
(
safe_name C_COMPILER_SUPPORT_FLAG_
${
safe_name
}
)
if
(
${
safe_name
}
)
set
(
CUDA_NVCC_FLAGS
--compiler-options;
${
flag_name
}
${
CUDA_NVCC_FLAGS
}
)
LIST
(
APPEND CUDA_NVCC_FLAGS -Xcompiler
${
flag_name
}
)
endif
()
endmacro
()
...
...
@@ -109,8 +138,22 @@ foreach(flag ${GPU_COMMON_FLAGS})
endforeach
()
set
(
CUDA_PROPAGATE_HOST_FLAGS OFF
)
# Release/Debug flags set by cmake. Such as -O3 -g -DNDEBUG etc.
# So, don't set these flags here.
LIST
(
APPEND CUDA_NVCC_FLAGS -std=c++11
)
LIST
(
APPEND CUDA_NVCC_FLAGS --use_fast_math
)
if
(
CMAKE_BUILD_TYPE STREQUAL
"Debug"
)
LIST
(
APPEND CUDA_NVCC_FLAGS
${
CMAKE_CXX_FLAGS_DEBUG
}
)
elseif
(
CMAKE_BUILD_TYPE STREQUAL
"Release"
)
LIST
(
APPEND CUDA_NVCC_FLAGS
${
CMAKE_CXX_FLAGS_RELEASE
}
)
elseif
(
CMAKE_BUILD_TYPE STREQUAL
"RelWithDebInfo"
)
LIST
(
APPEND CUDA_NVCC_FLAGS
${
CMAKE_CXX_FLAGS_RELWITHDEBINFO
}
)
elseif
(
CMAKE_BUILD_TYPE STREQUAL
"MinSizeRel"
)
LIST
(
APPEND CUDA_NVCC_FLAGS
${
CMAKE_CXX_FLAGS_MINSIZEREL
}
)
endif
()
function
(
specify_cuda_arch cuda_version cuda_arch
)
if
(
${
cuda_version
}
VERSION_GREATER
"8.0"
)
...
...
doc/getstarted/build_and_install/build_from_source.md
浏览文件 @
402d300e
...
...
@@ -16,13 +16,16 @@ git submodule update --init --recursive
## <span id="requirements">Requirements</span>
To compile the source code, your computer must be equipped with GCC >=4.6 or Clang compiler.
### Dependencies
To compile the source code, your computer must be equipped with the following dependencies.
-
**Compiler**
: GCC >= 4.8 or Clang >= 3.3 (AppleClang >= 5.1)
-
**CMake**
: version >= 2.8
-
**BLAS**
: MKL, OpenBlas or ATLAS
-
**protobuf**
: version >= 2.4,
**Note: 3.x is not supported**
-
**python**
: only python 2.7 is supported currently
-
**Protocol Buffers**
: version >= 2.4,
**Note: 3.x is not supported**
-
**Python**
: only python 2.7 is supported currently
**Note:**
For CUDA 7.0 and CUDA 7.5, GCC 5.0 and up are not supported!
For CUDA 8.0, GCC versions later than 5.3 are not supported!
### Options
...
...
@@ -50,8 +53,8 @@ PaddlePaddle supports some build options. To enable it, first you need to instal
</html>
**Note:**
-
The GPU version works best with Cuda Toolkit
7.5
and cuDNN v5.
-
Other versions like Cuda Toolkit
6.5, 7.0, 8.0 and cuDNN v2,
v3, v4 are also supported.
-
The GPU version works best with Cuda Toolkit
8.0
and cuDNN v5.
-
Other versions like Cuda Toolkit
7.0, 7.5 and cuDNN
v3, v4 are also supported.
-
**To utilize cuDNN v5, Cuda Toolkit 7.5 is prerequisite and vice versa.**
As a simple example, consider the following:
...
...
paddle/cuda/CMakeLists.txt
浏览文件 @
402d300e
...
...
@@ -34,9 +34,6 @@ else()
src/hl_warpctc_wrap.cc
)
endif
()
set_source_files_properties
(
${
AVX_SOURCES
}
PROPERTIES COMPILE_FLAGS
"-mavx"
)
set
(
CUDA_CU_SOURCES
src/hl_perturbation_util.cu
src/hl_cuda_aggregate.cu
...
...
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