提交 3a5383be 编写于 作者: W wanghaoshuang

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

......@@ -68,7 +68,7 @@ As a simple example, consider the following:
1. **BLAS Dependencies(optional)**
CMake will search BLAS libraries from system. If not found, OpenBLAS will be downloaded, built and installed automatically.
CMake will search BLAS libraries from the system. If not found, OpenBLAS will be downloaded, built and installed automatically.
To utilize preinstalled BLAS, you can simply specify MKL, OpenBLAS or ATLAS via `MKL_ROOT`, `OPENBLAS_ROOT` or `ATLAS_ROOT`.
```bash
......@@ -131,9 +131,9 @@ As a simple example, consider the following:
To build GPU version, you will need the following installed:
1. a CUDA-capable GPU
2. A supported version of Linux with a gcc compiler and toolchain
2. A supported version of Linux with a GCC compiler and toolchain
3. NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-downloads)
4. NVIDIA cuDNN Library (availabel at https://developer.nvidia.com/cudnn)
4. NVIDIA cuDNN Library (available at https://developer.nvidia.com/cudnn)
The CUDA development environment relies on tight integration with the host development environment,
including the host compiler and C runtime libraries, and is therefore only supported on
......@@ -172,6 +172,7 @@ export PATH=<path to install>/bin:$PATH
# install PaddlePaddle Python modules.
sudo pip install <path to install>/opt/paddle/share/wheels/*.whl
```
## <span id="centos">Build on Centos 7</span>
### Install Dependencies
......@@ -192,9 +193,9 @@ sudo pip install <path to install>/opt/paddle/share/wheels/*.whl
To build GPU version, you will need the following installed:
1. a CUDA-capable GPU
2. A supported version of Linux with a gcc compiler and toolchain
2. A supported version of Linux with a GCC compiler and toolchain
3. NVIDIA CUDA Toolkit (available at http://developer.nvidia.com/cuda-downloads)
4. NVIDIA cuDNN Library (availabel at https://developer.nvidia.com/cudnn)
4. NVIDIA cuDNN Library (available at https://developer.nvidia.com/cudnn)
The CUDA development environment relies on tight integration with the host development environment,
including the host compiler and C runtime libraries, and is therefore only supported on
......
......@@ -120,25 +120,6 @@ EOF
/woboq/indexgenerator/codebrowser_indexgenerator $WOBOQ_OUT
fi
# generate deb package for current build
# FIXME(typhoonzero): should we remove paddle/scripts/deb ?
if [[ ${WITH_DEB:-ON} == "ON" ]]; then
cat <<EOF
========================================
Generating .deb package ...
========================================
EOF
set +e
cpack -D CPACK_GENERATOR='DEB' -j `nproc` ..
err_code=$?
if [ ${err_code} -ne 0 ]; then
# cat error logs if cpack failed.
cat /paddle/build/_CPack_Packages/Linux/DEB/PreinstallOutput.log
exit ${err_code}
fi
set -e
fi
cat <<EOF
========================================
Generate /paddle/build/Dockerfile ...
......@@ -158,14 +139,13 @@ EOF
fi
cat >> /paddle/build/Dockerfile <<EOF
# Use different deb file when building different type of images
ADD *.deb /
ADD python/dist/*.whl /
# run paddle version to install python packages first
RUN apt-get update &&\
apt-get install -y wget python-pip && pip install -U pip && \
dpkg -i /*.deb ; apt-get install -f -y && \
pip install /*.whl; apt-get install -f -y && \
apt-get clean -y && \
rm -f /*.deb && \
rm -f /*.whl && \
paddle version
${DOCKERFILE_CUDNN_DSO}
${DOCKERFILE_GPU_ENV}
......
......@@ -56,8 +56,7 @@ if [ -z "${PADDLE_NO_STAT+x}" ]; then
fi
fi
MYDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
PADDLE_BIN_PATH="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
if [ ! -z "${DEBUGGER}" ]; then
echo "Using debug command ${DEBUGGER}"
......@@ -93,34 +92,16 @@ else:
sys.exit(0)
EOF
if [ $? -eq 1 ]; then # Older version installed, or not installed at all
echo "First time run paddle, need to install some python dependencies."
# setuptools normalizes package version, so we need to use normalized
# package version for paddle python package
PYTHON_PADDLE_VERSION=$(python -c 'import packaging.version
import setuptools
print str(packaging.version.Version("@PADDLE_VERSION@"))
' 2>/dev/null)
BASEDIR=$(dirname "$0")
pip install ${BASEDIR}/../opt/paddle/share/wheels/*-${PYTHON_PADDLE_VERSION}-*.whl
if [ $? -ne 0 ]; then
echo "pip install wheels failed. "
echo "Please use 'sudo paddle' at the first time you use PaddlePaddle"
echo "PaddlePaddle will install some python dependencies automatically."
exit 1
fi
echo "Python dependencies are installed."
fi
case "$1" in
"train")
${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}
${DEBUGGER} $PADDLE_BIN_PATH/paddle_trainer ${@:2}
;;
"merge_model")
${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_merge_model ${@:2}
${DEBUGGER} $PADDLE_BIN_PATH/paddle_merge_model ${@:2}
;;
"pserver")
${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_pserver_main ${@:2}
${DEBUGGER} $PADDLE_BIN_PATH/paddle_pserver_main ${@:2}
;;
"dump_config")
python -m paddle.utils.dump_config ${@:2}
......@@ -129,7 +110,7 @@ case "$1" in
python -m paddle.utils.make_model_diagram ${@:2}
;;
"usage")
$MYDIR/../opt/paddle/bin/paddle_usage ${@:2}
$PADDLE_BIN_PATH/paddle_usage ${@:2}
;;
"version")
version
......
......@@ -24,13 +24,14 @@ if '${CMAKE_SYSTEM_PROCESSOR}' not in ['arm', 'armv7-a', 'aarch64']:
setup_requires+=["opencv-python"]
# the prefix is sys.prefix which should always be usr
paddle_bin_dir = 'local/opt/paddle/bin'
paddle_bin_dir = 'opt/paddle/bin'
paddle_bins = ['${PADDLE_BINARY_DIR}/paddle/scripts/paddle_usage',
'${PADDLE_BINARY_DIR}/paddle/trainer/paddle_trainer',
'${PADDLE_BINARY_DIR}/paddle/trainer/paddle_merge_model',
'${PADDLE_BINARY_DIR}/paddle/pserver/paddle_pserver_main']
'${PADDLE_BINARY_DIR}/paddle/pserver/paddle_pserver_main',
'${PADDLE_BINARY_DIR}/paddle/scripts/paddle']
paddle_rt_lib_dir = 'local/lib'
paddle_rt_lib_dir = 'lib'
paddle_rt_libs = [] if '${MKL_SHARED_LIBS}'== '' else '${MKL_SHARED_LIBS}'.split(';')
setup(name='paddlepaddle',
......@@ -50,8 +51,7 @@ setup(name='paddlepaddle',
'paddle.v2.framework.proto': '${PADDLE_BINARY_DIR}/paddle/framework',
'py_paddle': '${PADDLE_SOURCE_DIR}/paddle/py_paddle'
},
scripts=['${PADDLE_BINARY_DIR}/paddle/scripts/paddle'],
scripts=paddle_bins,
distclass=BinaryDistribution,
data_files=[(paddle_bin_dir, paddle_bins),
(paddle_rt_lib_dir, paddle_rt_libs)]
data_files=[(paddle_rt_lib_dir, paddle_rt_libs)]
)
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