Commit c19e2a52 authored by Gems Guo's avatar Gems Guo
Browse files

Add Travis IC configuration script

parent 252f36f8
dist: xenial
sudo: required
language: python
python:
- "3.6"
before_install:
- sudo apt-get install -y python3-pip python3-setuptools
- wget https://nodejs.org/dist/v10.9.0/node-v10.9.0-linux-x64.tar.xz
- tar xf node-v10.9.0-linux-x64.tar.xz
- sudo mv node-v10.9.0-linux-x64 /usr/local/node
- export PATH=/usr/local/node/bin:$PATH
install:
- make
- sudo make dev-install
before_script:
- cd test/naive
script:
- python run.py
\ No newline at end of file
...@@ -52,12 +52,12 @@ install: ...@@ -52,12 +52,12 @@ install:
dev-install: dev-install:
### Installing Python SDK dependencies ### ### Installing Python SDK dependencies ###
pip3 install --user -r src/sdk/pynni/requirements.txt pip3 install -r src/sdk/pynni/requirements.txt
### Installing Python SDK ### ### Installing Python SDK ###
cd src/sdk/pynni && pip3 install --user -e . cd src/sdk/pynni && pip3 install -e .
### Installing nnictl ### ### Installing nnictl ###
cd tools && pip3 install --user -e . cd tools && pip3 install -e .
uninstall: uninstall:
......
# Introduction # Neural Network Intelligence
[![Build Status](https://travis-ci.org/Microsoft/NeuralNetworkIntelligence.svg?branch=master)](https://travis-ci.org/Microsoft/NeuralNetworkIntelligence)
## Introduction
Neural Network Intelligence(NNI) is a light package for supporting hyper-parameter tuning or neural architecture search. Neural Network Intelligence(NNI) is a light package for supporting hyper-parameter tuning or neural architecture search.
It could easily run in different environments, such as: local/remote machine/cloud. It could easily run in different environments, such as: local/remote machine/cloud.
And it offers a new annotation language for user to conveniently design search space. And it offers a new annotation language for user to conveniently design search space.
Also user could write code using any language or any machine learning framework. Also user could write code using any language or any machine learning framework.
# Getting Started ## Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about: TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1. Installation process 1. Installation process
2. Software dependencies 2. Software dependencies
3. Latest releases 3. Latest releases
4. API references 4. API references
# Build and Test ## Build and Test
TODO: Describe and show how to build your code and run the tests. TODO: Describe and show how to build your code and run the tests.
# Contribute ## Contribute
TODO: Explain how other users and developers can contribute to make your code better. TODO: Explain how other users and developers can contribute to make your code better.
# Privacy Statement ## Privacy Statement
The [Microsoft Enterprise and Developer Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement) describes the privacy statement of this software. The [Microsoft Enterprise and Developer Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement) describes the privacy statement of this software.
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment