《我的PaddlePaddle学习之路》笔记一——PaddlePaddle的安装

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Start interactive shell

15696@ɵ MINGW64 ~
$

https://www.virtualbox.org/

sudo apt install python-pip

wget https://bootstrap.pypa.io/get-pip.py

python get-pip.py

pip install paddlepaddle==0.11.0 -i https://mirrors.aliyun.com/pypi/simple/

 import paddle.v2 as paddle

sudo apt-get install docker.io

docker pull hub.baidubce.com/paddlepaddle/paddle

hub.baidubce.com/paddlepaddle/paddle   latest                         2b1ae16d846e        27 hours ago        1.338 GB

sudo apt-get install gcc-4.9

wget https://cmake.org/files/v3.8/cmake-3.8.0.tar.gz

tar -zxvf cmake-3.8.0.tar.gz

# 进入解压后的目录
cd cmake-3.8.0
# 执行当前目录的bootstrap程序
./bootstrap
# make一下
make
# 开始安装
sudo make install

sudo apt-get install python-numpy

sudo apt-get install python-matplotlib

sudo apt-get install -y git curl gfortran make build-essential automake swig libboost-all-dev

sudo apt-get install golang

git clone https://github.com/PaddlePaddle/Paddle.git

# 进入刚下载的Paddle里面
cd Paddle
# 切换到0.11.0分支
git checkout release/0.11.0
# 创建一个build文件夹
mkdir build
# 进入build文件夹里
cd build
# 这就要选好你的需求了，比如笔者没有使用GPU，不支持AVX，为了节省空间，我把测试关闭了，这样会少很多空间。最后不要少了..
cmake .. -DWITH_GPU=OFF -DWITH_AVX=OFF -DWITH_TESTING=OFF
# 最后make，使用4个线程编译生成你想要的安装包，这个可能很久,一定要有耐心
make -j4

# 请切入到该目录
cd build/python/dist/
# 每个人的安装包名字可能不一样。如果权限不够，请在root下执行命令
pip install paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl

import paddle.v2 as paddle

git clone https://github.com/PaddlePaddle/Paddle.git

cd Paddle

git checkout release/0.11.0

# 启动并进入镜像
docker run -v $PWD:/paddle -it hub.baidubce.com/paddlepaddle/paddle:latest-dev /bin/bash
# 创建并进入build镜像
mkdir -p /paddle/build && cd /paddle/build
# 安装缺少的依赖环境
pip install protobuf==3.1.0
# 安装依赖环境
apt install patchelf
# 生成编译环境
cmake .. -DWITH_GPU=OFF -DWITH_AVX=OFF -DWITH_TESTING=OFF
# 开始编译
make -j4

# 请切入到该目录
cd build/python/dist/
# 每个人的安装包名字可能不一样。如果权限不够，请在root下执行命令
pip install paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl

 import paddle.v2 as paddle

git clone https://github.com/PaddlePaddle/Paddle.git

# 切入到Paddle目录下
cd Paddle
# 切换到0.11.0分支
git checkout release/0.11.0
# 下载依赖环境并创建镜像，别少了最后的.
docker build -t paddle:dev .

# docker tag <镜像对应的ID> <镜像名:TAG>
例如：docker tag 1e835127cf33 paddle:dev

# 这个编译要很久的，请耐心等待
docker run --rm -e WITH_GPU=OFF -e WITH_AVX=OFF -v $PWD:/paddle paddle:dev

import paddle.v2 as paddle

# Initialize PaddlePaddle.
paddle.init(use_gpu=False, trainer_count=1)

# Configure the neural network.
x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13))
y_predict = paddle.layer.fc(input=x, size=1, act=paddle.activation.Linear())

# Infer using provided test data.
probs = paddle.infer(
    output_layer=y_predict,
    parameters=paddle.dataset.uci_housing.model(),
    input=[item for item in paddle.dataset.uci_housing.test()()])

for i in xrange(len(probs)):
    print 'Predicted price: ${:,.2f}'.format(probs[i][0] * 1000)

python housing.py

docker run -v $PWD:/work -w /work -p 8899:8899 hub.baidubce.com/paddlepaddle/paddle python housing.py

I0116 08:40:12.004096     1 Util.cpp:166] commandline:  --use_gpu=False --trainer_count=1 
Cache file /root/.cache/paddle/dataset/fit_a_line.tar/fit_a_line.tar not found, downloading https://github.com/PaddlePaddle/book/raw/develop/01.fit_a_line/fit_a_line.tar
[==================================================]
Cache file /root/.cache/paddle/dataset/uci_housing/housing.data not found, downloading https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data
[==================================================]
Predicted price: $12,316.63
Predicted price: $13,830.34
Predicted price: $11,499.34
Predicted price: $17,395.05
Predicted price: $13,317.67
Predicted price: $16,834.08
Predicted price: $16,632.04

I0116 13:53:48.957136 15297 Util.cpp:166] commandline:  --use_gpu=False --trainer_count=1
Traceback (most recent call last):
  File "housing.py", line 13, in <module>
    parameters=paddle.dataset.uci_housing.model(),
AttributeError: 'module' object has no attribute 'model'

paddle.init(use_gpu=False, trainer_count=1)

if cat /proc/cpuinfo | grep -i avx; then echo Yes; else echo No; fi

ImportError: libmkldnn.so.0: cannot open shared object file: No such file or directory