提交 3d28291d 编写于 作者: Q qiaolongfei

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

......@@ -27,3 +27,18 @@ std::string Evaluator::toString() {
m->rawPtr->printStats(sout);
return sout.str();
}
std::vector<std::string> Evaluator::getNames() const {
std::vector<std::string> retv;
m->rawPtr->getNames(&retv);
return retv;
}
double Evaluator::getValue(const std::string name) const {
paddle::Error err;
double v = m->rawPtr->getValue(name, &err);
if (err) {
throw std::runtime_error(err.msg());
}
return v;
}
......@@ -900,6 +900,10 @@ public:
*/
std::string toString();
std::vector<std::string> getNames() const;
double getValue(const std::string name) const;
private:
EvaluatorPrivate* m;
......
......@@ -89,9 +89,14 @@ def main():
except Exception as e:
print e
ev = m.makeEvaluator()
ev.start()
m.forwardBackward(inArgs, outArgs, swig_paddle.PASS_TRAIN,
update_callback)
m.eval(ev)
ev.finish()
for name in ev.getNames():
print name, ev.getValue(name)
for optimizer in optimizers:
optimizer.finishBatch()
......
......@@ -10,28 +10,30 @@ RUN apt-get update && \
apt-get install -y wget unzip tar xz-utils bzip2 gzip coreutils && \
apt-get install -y curl sed grep graphviz libjpeg-dev zlib1g-dev && \
apt-get install -y python-numpy python-matplotlib gcc g++ gfortran && \
apt-get install -y automake clang-3.8 llvm-3.8 libclang-3.8-dev && \
apt-get install -y automake && \
apt-get clean -y
RUN pip install --upgrade pip && \
pip install -U protobuf && \
pip install -U "protobuf==3.1.0" && \
pip install -U wheel pillow BeautifulSoup && \
pip install -U docopt PyYAML sphinx && \
pip install -U sphinx_rtd_theme recommonmark jupyter
RUN curl -sSL https://cmake.org/files/v3.4/cmake-3.4.1.tar.gz | tar -xz && \
cd cmake-3.4.1 && ./bootstrap && make -j4 && make install && \
cd cmake-3.4.1 && ./bootstrap && make -j `nproc` && make install && \
cd .. && rm -rf cmake-3.4.1
ARG BUILD_WOBOQ
ARG BUILD_AND_INSTALL
ARG WITH_AVX
ARG WITH_DOC
ARG WITH_STYLE_CHECK
ENV BUILD_WOBOQ=${BUILD_WOBOQ:-OFF}
ENV BUILD_AND_INSTALL=${BUILD_AND_INSTALL:-OFF}
ENV WITH_GPU=OFF
ENV WITH_AVX=${WITH_AVX:-ON}
ENV WITH_DOC=${WITH_DOC:-ON}
ENV WITH_DOC=${WITH_DOC:-OFF}
ENV WITH_STYLE_CHECK=${WITH_STYLE_CHECK:-OFF}
RUN mkdir /paddle
......
......@@ -10,28 +10,30 @@ RUN apt-get update && \
apt-get install -y wget unzip tar xz-utils bzip2 gzip coreutils && \
apt-get install -y curl sed grep graphviz libjpeg-dev zlib1g-dev && \
apt-get install -y python-numpy python-matplotlib gcc g++ gfortran && \
apt-get install -y automake clang-3.8 llvm-3.8 libclang-3.8-dev && \
apt-get install -y automake && \
apt-get clean -y
RUN pip install --upgrade pip && \
pip install -U protobuf && \
pip install -U "protobuf==3.1.0" && \
pip install -U wheel pillow BeautifulSoup && \
pip install -U docopt PyYAML sphinx && \
pip install -U sphinx_rtd_theme recommonmark jupyter
RUN curl -sSL https://cmake.org/files/v3.4/cmake-3.4.1.tar.gz | tar -xz && \
cd cmake-3.4.1 && ./bootstrap && make -j4 && make install && \
cd cmake-3.4.1 && ./bootstrap && make -j `nproc` && make install && \
cd .. && rm -rf cmake-3.4.1
ARG BUILD_WOBOQ
ARG BUILD_AND_INSTALL
ARG WITH_AVX
ARG WITH_DOC
ARG WITH_STYLE_CHECK
ENV BUILD_WOBOQ=${BUILD_WOBOQ:-OFF}
ENV BUILD_AND_INSTALL=${BUILD_AND_INSTALL:-OFF}
ENV WITH_GPU=ON
ENV WITH_AVX=${WITH_AVX:-ON}
ENV WITH_DOC=${WITH_DOC:-ON}
ENV WITH_DOC=${WITH_DOC:-OFF}
ENV WITH_STYLE_CHECK=${WITH_STYLE_CHECK:-OFF}
RUN mkdir /paddle
......
......@@ -11,7 +11,7 @@ set -e
# If Dockerfile.* sets BUILD_AND_INSTALL to 'ON', it would have copied
# source tree to /paddle, and this scripts should build it into
# /paddle/build.
if [[ ${BUILD_AND_INSTALL:-ON} == 'ON' ]]; then
if [[ ${BUILD_AND_INSTALL:-OFF} == 'ON' ]]; then
if [[ ${WITH_GPU:-OFF} == 'ON' ]]; then
ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so /usr/lib/libcudnn.so
fi
......@@ -19,7 +19,7 @@ if [[ ${BUILD_AND_INSTALL:-ON} == 'ON' ]]; then
mkdir -p /paddle/build # -p means no error if exists
cd /paddle/build
cmake .. \
-DWITH_DOC=ON \
-DWITH_DOC=${WITH_DOC:-OFF} \
-DWITH_GPU=${WITH_GPU:-OFF} \
-DWITH_AVX=${WITH_AVX:-OFF} \
-DWITH_SWIG_PY=ON \
......@@ -29,28 +29,32 @@ if [[ ${BUILD_AND_INSTALL:-ON} == 'ON' ]]; then
make -j `nproc`
make install
# Install woboq_codebrowser.
git clone https://github.com/woboq/woboq_codebrowser /woboq
cd /woboq
cmake -DLLVM_CONFIG_EXECUTABLE=/usr/bin/llvm-config-3.8 \
-DCMAKE_BUILD_TYPE=Release \
.
make
export WOBOQ_OUT=/usr/share/nginx/html/paddle
export BUILD_DIR=/paddle/build
mkdir -p $WOBOQ_OUT
cp -rv /woboq/data $WOBOQ_OUT/../data
/woboq/generator/codebrowser_generator \
-b /paddle/build \
-a \
-o $WOBOQ_OUT \
-p paddle:/paddle
/woboq/indexgenerator/codebrowser_indexgenerator $WOBOQ_OUT
cd /woboq
make clean
pip install /usr/local/opt/paddle/share/wheels/*.whl
if [[ ${BUILD_WOBOQ:-OFF} == 'ON' ]]; then
apt-get install -y clang-3.8 llvm-3.8 libclang-3.8-dev
# Install woboq_codebrowser.
git clone https://github.com/woboq/woboq_codebrowser /woboq
cd /woboq
cmake -DLLVM_CONFIG_EXECUTABLE=/usr/bin/llvm-config-3.8 \
-DCMAKE_BUILD_TYPE=Release \
.
make
export WOBOQ_OUT=/usr/share/nginx/html/paddle
export BUILD_DIR=/paddle/build
mkdir -p $WOBOQ_OUT
cp -rv /woboq/data $WOBOQ_OUT/../data
/woboq/generator/codebrowser_generator \
-b /paddle/build \
-a \
-o $WOBOQ_OUT \
-p paddle:/paddle
/woboq/indexgenerator/codebrowser_indexgenerator $WOBOQ_OUT
cd /woboq
make clean
fi
pip install /usr/local/opt/paddle/share/wheels/py_paddle*linux*.whl
pip install /usr/local/opt/paddle/share/wheels/paddle*.whl
paddle version
fi
......
......@@ -21,3 +21,5 @@
#
# r = paddle.reader.buffered(paddle.reader.creator.text("hello.txt"))
from decorator import *
import creator
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
__all__ = ['np_array', 'text_file']
def np_array(x):
"""
Creates a reader that yields elements of x, if it is a
numpy vector. Or rows of x, if it is a numpy matrix.
Or any sub-hyperplane indexed by the highest dimension.
:param x: the numpy array to create reader from.
:returns: data reader created from x.
"""
def reader():
if x.ndim < 1:
yield x
for e in x:
yield e
return reader
def text_file(path):
"""
Creates a data reader that outputs text line by line from given text file.
Trailing new line ('\n') of each line will be removed.
:path: path of the text file.
:returns: data reader of text file
"""
def reader():
f = open(path, "r")
for l in f:
yield l.rstrip('\n')
f.close()
return reader
......@@ -2,3 +2,8 @@ add_test(NAME reader_decorator_test
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/python/paddle/reader/tests/decorator_test.py
WORKING_DIRECTORY ${PROJ_ROOT}/python/paddle)
add_test(NAME reader_creator_test
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/python/paddle/reader/tests/creator_test.py
WORKING_DIRECTORY ${PROJ_ROOT}/python/paddle)
# Copyright PaddlePaddle contributors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import paddle.reader.creator
import numpy as np
import os
class TestNumpyArray(unittest.TestCase):
def test_numpy_array(self):
l = [[1, 2, 3], [4, 5, 6]]
x = np.array(l, np.int32)
reader = paddle.reader.creator.np_array(x)
for idx, e in enumerate(reader()):
self.assertItemsEqual(e, l[idx])
class TestTextFile(unittest.TestCase):
def test_text_file(self):
path = os.path.join(os.path.dirname(__file__), "test_data_creator.txt")
reader = paddle.reader.creator.text_file(path)
for idx, e in enumerate(reader()):
self.assertEqual(e, str(idx * 2) + " " + str(idx * 2 + 1))
if __name__ == '__main__':
unittest.main()
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