Add manylinux build doc (#306)

* add manylinux build

* update build.sh

* typo

docs/release/build.sh

+#!/bin/bash
+
+PYTHON_FLAGS=""
+if [ "$1" != "" ]; then
+    echo "using python abi: $1"
+    if [ "$1" == "cp27-cp27m" ]; then
+        export LD_LIBRARY_PATH=/opt/_internal/cpython-2.7.11-ucs2/lib:${LD_LIBRARY_PATH#/opt/_internal/cpython-2.7.11-ucs4/lib:}
+        export PATH=/opt/python/cp27-cp27m/bin/:${PATH}
+        export PYTHON_FLAGS="-DPYTHON_EXECUTABLE:FILEPATH=/opt/python/cp27-cp27m/bin/python
+                             -DPYTHON_INCLUDE_DIR:PATH=/opt/python/cp27-cp27m/include/python2.7
+                             -DPYTHON_LIBRARIES:FILEPATH=/opt/_internal/cpython-2.7.11-ucs2/lib/libpython2.7.so"
+    elif [ "$1" == "cp27-cp27mu" ]; then
+        export LD_LIBRARY_PATH=/opt/_internal/cpython-2.7.11-ucs4/lib:${LD_LIBRARY_PATH#/opt/_internal/cpython-2.7.11-ucs2/lib:}
+        export PATH=/opt/python/cp27-cp27mu/bin/:${PATH}
+        export PYTHON_FLAGS="-DPYTHON_EXECUTABLE:FILEPATH=/opt/python/cp27-cp27mu/bin/python
+                             -DPYTHON_INCLUDE_DIR:PATH=/opt/python/cp27-cp27mu/include/python2.7
+                             -DPYTHON_LIBRARIES:FILEPATH=/opt/_internal/cpython-2.7.11-ucs4/lib/libpython2.7.so"
+    fi
+fi
+
+echo $LD_LIBRARY_PATH
+echo $PATH
+echo $PYTHON_FLAGS
+
+python setup.py bdist_wheel

docs/release/build_manylinux.md

+VisualDL uses the same manylinux environment docker image with PaddlePaddle, the related wiki is <https://github.com/PaddlePaddle/Paddle/tree/develop/tools/manylinux1>.
+
+We can use this [build file](https://github.com/PaddlePaddle/Paddle/blob/develop/tools/manylinux1/build_scripts/build.sh) to build this manylinux environment. But most of the time, we can directly use `paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5`.
+
+You can use this [check script](https://github.com/PaddlePaddle/Paddle/blob/develop/tools/manylinux1/build_scripts/manylinux1-check.py) to check the build envrionment.
+
+The whole build step can be:
+
+1. Get the manyliux build docker image `paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5` and enter.
+
+    ```shell
+    docker run -it paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 /bin/bash
+    ```
+
+1. Get the VisualDL code and run build.sh. It will generate a whl file like `visualdl-0.0.2a0-cp27-cp27m(u)-linux_x86_64.whl`
+
+1. The `linux` above should be renamed to `manylinux1`
+
+    ```shell
+    mv visualdl-0.0.2a0-cp27-cp27m-linux_x86_64.whl visualdl-0.0.2a0-cp27-cp27m-
+    manylinux1_x86_64.whl
+    ```
+1. Before upload to the final pypi website, you can first upload it to a test repo `https://testpypi.python.org/pypi` and test the installation process.
+    ```shell
+    pip install twine
+    twine upload --repository-url https://test.pypi.org/legacy/ visualdl-*xx.whl
+    pip install --index-url https://test.pypi.org/simple/ your-package
+    ```
+
+1. Use twine to upload the package to pypi.
+    ```shell
+    pip install twine
+    twine upload xx.whl
+    ```