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Update README.md, setup.py etc. (#537)

* 1. Add .gitattributes file to force shell files to have LF line ending.
2. Add setup.cfg to build a universal wheel package.
3. Remove version information from mmdnn/__init__.py .
4. Update author and email information in setup.py .
5. Update README.md .

* Add a new line.

* Set caffe library path correctly in .
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linmajia authored and rainLiuplus committed Dec 28, 2018
1 parent b9c11b4 commit 70a52a81425e51ececfea3106eafd79d8d120cc4
Showing with 19 additions and 10 deletions.
  1. +1 −0 .gitattributes
  2. +1 −1 .travis.yml
  3. +9 −6 README.md
  4. +0 −1 mmdnn/__init__.py
  5. +6 −0 setup.cfg
  6. +2 −2 setup.py
@@ -0,0 +1 @@
*.sh text eol=lf
@@ -52,7 +52,7 @@ install:
- pip install wget

before_script:
- export LD_LIBRARY_PATH=/home/travis/virtualenv/python3.5.6/lib/python3.5/site-packages/caffe/libs:/home/travis/virtualenv/python2.7.14/lib/python2.7/site-packages/caffe/libs:${LD_LIBRARY_PATH}
- export LD_LIBRARY_PATH=$(python -c "import os; print(os.path.dirname(os.__file__) + '/site-packages/caffe/libs')"):${LD_LIBRARY_PATH}

after_failure: true

@@ -32,12 +32,14 @@ Major features


## Related Projects
Targeting at openness and advancing state-of-art technology, [Microsoft Research (MSR)](https://www.microsoft.com/en-us/research/group/systems-research-group-asia/) had also released few other open source projects.
[Microsoft Research Asia (MSRA)](https://www.microsoft.com/en-us/research/group/systems-research-group-asia/)
and Microsoft Search Technology Center Asia (STCA)
have released some projects to advance the state-of-art technology:
* [Open Platform for AI (OpenPAI)](https://github.com/Microsoft/pai): an open source platform that provides complete AI model training and resource management capabilities.
It is easy to extend and supports on-premise, cloud and hybrid environments in various scale.
* [Neural Network Intelligence (NNI)](https://github.com/Microsoft/nni): an open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

* [OpenPAI](https://github.com/Microsoft/pai): an open source platform that provides complete AI model training and resource management capabilities, it is easy to extend and supports on-premise, cloud and hybrid environments in various scale.
* [NNI](https://github.com/Microsoft/nni): An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

We encourage researchers and students to leverage these projects to accelerate the AI development and research.
We encourage researchers, developers and students to leverage such projects to boost their Deep Learning / AI productivity.

## Installation

@@ -57,7 +59,8 @@ pip install -U git+https://github.com/Microsoft/MMdnn.git@master

### Install with docker image

MMdnn provides a docker image, which packages MMdnn, deep learning frameworks we support and other dependencies in one image. You can easily get the image in several steps:
MMdnn provides a docker image, which packages MMdnn and Deep Learning frameworks that we support as well as other dependencies.
You can easily try the image with the following steps:

1. Install Docker Community Edition(CE)

@@ -1 +0,0 @@
__version__ = "0.2.2"
@@ -0,0 +1,6 @@
[metadata]
license_files = LICENSE

[bdist_wheel]
# https://packaging.python.org/guides/distributing-packages-using-setuptools/#wheels
universal=1
@@ -22,8 +22,8 @@
url='https://github.com/Microsoft/MMdnn',

# Author details
author = 'Cheng CHEN, System Research Group, Microsoft Research Asia',
author_email='cncng@microsoft.com',
author = 'System Research Group, Microsoft Research Asia',
author_email='mmdnn_feedback@microsoft.com',

# Choose your license
license='MIT',

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