From ceb0380c178598a7d488f0ecf7b2885422b73256 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Wed, 26 Jun 2019 21:35:14 -0700
Subject: [PATCH 01/11] ci: initial commit

---
 .travis.yml | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
 create mode 100644 .travis.yml

diff --git a/.travis.yml b/.travis.yml
new file mode 100644
index 000000000..41256bc7e
--- /dev/null
+++ b/.travis.yml
@@ -0,0 +1,24 @@
+dist: bionic
+python:
+  - "2.7"
+  - "3.4"
+  - "3.7"
+env:
+  - CUDA=10.1.105-1
+  - CUDA_APT=10-1
+  - CUDA_SHORT=10.1
+  - UBUNTU_VERSION=ubuntu1804
+before_install:
+  - CUDA_PKG=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
+  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
+  - sudo dpkg -i ${INSTALLER}
+  - wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
+  - sudo apt-key add 7fa2af80.pub
+  - sudo apt update -qq
+  - sudo apt install -y cuda-core-${CUDA_APT} cuda-cudart-dev-${CUDA_APT} cuda-cufft-dev-${CUDA_APT} libnccl2 libnccl-dev
+  - sudo apt clean
+  - CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
+  - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+  - PATH=${CUDA_HOME}/bin:${PATH}
+install:
+  - python setup.py install 

From b849ca4917ec9e9b925b28356e9382ba976f62e9 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Wed, 26 Jun 2019 22:01:52 -0700
Subject: [PATCH 02/11] ci: update env

---
 .travis.yml | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index 41256bc7e..679e49a5c 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,17 +1,15 @@
 dist: bionic
+language: python
 python:
   - "2.7"
   - "3.4"
   - "3.7"
 env:
-  - CUDA=10.1.105-1
-  - CUDA_APT=10-1
-  - CUDA_SHORT=10.1
-  - UBUNTU_VERSION=ubuntu1804
+  - CUDA=10.1.105-1 CUDA_APT=10-1 CUDA_SHORT=10.1 UBUNTU_VERSION=ubuntu1804
 before_install:
   - CUDA_PKG=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
-  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
-  - sudo dpkg -i ${INSTALLER}
+  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${CUDA_PKG}
+  - sudo dpkg -i ${CUDA_PKG}
   - wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
   - sudo apt-key add 7fa2af80.pub
   - sudo apt update -qq
@@ -21,4 +19,4 @@ before_install:
   - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
   - PATH=${CUDA_HOME}/bin:${PATH}
 install:
-  - python setup.py install 
+  - python setup.py install

From 54a607421f72db9c35225077bee58b2d3a7866f1 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 10:31:07 -0700
Subject: [PATCH 03/11] ci: nccl

---
 .travis.yml | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index 679e49a5c..d7847e6fe 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -5,13 +5,16 @@ python:
   - "3.4"
   - "3.7"
 env:
-  - CUDA=10.1.105-1 CUDA_APT=10-1 CUDA_SHORT=10.1 UBUNTU_VERSION=ubuntu1804
+  - CUDA=10.1.105-1 CUDA_APT=10-1 CUDA_SHORT=10.1 UBUNTU_VERSION=ubuntu1804 NCCL=1.0.0-1
 before_install:
-  - CUDA_PKG=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
-  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${CUDA_PKG}
-  - sudo dpkg -i ${CUDA_PKG}
+  - CUDA_REPO=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
+  - NCCL_REPO=nvidia-machine-learning-repo-${UBUNTU_VERSION}_${NCCL}_amd64.deb
+  - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${CUDA_REPO}
+  - sudo dpkg -i ${CUDA_REPO}
   - wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
   - sudo apt-key add 7fa2af80.pub
+  - wget http://developer.download.nvidia.com/compute/machine-learning/repos/${UBUNTU_VERSION}/x86_64/${NCCL_REPO}
+  - sudo dpkg -i ${NCCL_REPO}
   - sudo apt update -qq
   - sudo apt install -y cuda-core-${CUDA_APT} cuda-cudart-dev-${CUDA_APT} cuda-cufft-dev-${CUDA_APT} libnccl2 libnccl-dev
   - sudo apt clean

From b1a107718623b4f7f2a93462ae7d56800c22e272 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 10:34:46 -0700
Subject: [PATCH 04/11] ci: remove python 3.4

---
 .travis.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index d7847e6fe..972fd0694 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -2,7 +2,6 @@ dist: bionic
 language: python
 python:
   - "2.7"
-  - "3.4"
   - "3.7"
 env:
   - CUDA=10.1.105-1 CUDA_APT=10-1 CUDA_SHORT=10.1 UBUNTU_VERSION=ubuntu1804 NCCL=1.0.0-1

From 106925d05746eae451e8933ec7c030fc2e772ce2 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 11:14:51 -0700
Subject: [PATCH 05/11] ci: disable parallel build in ci

---
 setup.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/setup.py b/setup.py
index 4889fa3f7..9df9176da 100644
--- a/setup.py
+++ b/setup.py
@@ -755,10 +755,13 @@ class custom_build_ext(build_ext):
     def build_extensions(self):
         if not os.path.exists("3rdparty/ps-lite/build/libps.a") or \
            not os.path.exists("3rdparty/ps-lite/deps/lib"):
-            str_rdma_option = ""
+            make_option = ""
+            if os.environ.get('CI', 'false') == 'false':
+                make_option += "-j "
             if int(os.environ.get('BYTEPS_USE_RDMA', 0)):
-                str_rdma_option += "USE_RDMA=1"
-            make_process = subprocess.Popen('make -j ' + str_rdma_option,
+                make_option += "USE_RDMA=1 "
+
+            make_process = subprocess.Popen('make ' + make_option,
                                             cwd='3rdparty/ps-lite',
                                             stdout=sys.stdout,
                                             stderr=sys.stderr,

From a8ae9f08465012f231f29fe218e5ea39c9a5086f Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 11:59:36 -0700
Subject: [PATCH 06/11] ci: install frameworks

---
 .travis.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.travis.yml b/.travis.yml
index 972fd0694..a69fc1ebb 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -20,5 +20,6 @@ before_install:
   - CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
   - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
   - PATH=${CUDA_HOME}/bin:${PATH}
+  - pip install mxnet-cu101 tensorflow-gpu torch torchvision
 install:
   - python setup.py install

From cf23cc0f0ab3e8e65a707a1900005c06ea8931f9 Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 12:20:57 -0700
Subject: [PATCH 07/11] ci: set BYTEPS_CUDA_HOME

---
 .travis.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.travis.yml b/.travis.yml
index a69fc1ebb..ee1d2b1a5 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,5 +1,6 @@
 dist: bionic
 language: python
+cache: pip
 python:
   - "2.7"
   - "3.7"
@@ -22,4 +23,5 @@ before_install:
   - PATH=${CUDA_HOME}/bin:${PATH}
   - pip install mxnet-cu101 tensorflow-gpu torch torchvision
 install:
+  - BYTEPS_CUDA_HOME=${CUDA_HOME}
   - python setup.py install

From 60d31326705095b4307666e5211293f38665130c Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 13:59:06 -0700
Subject: [PATCH 08/11] ci: fix dependency

---
 .travis.yml | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index ee1d2b1a5..b4e410467 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -11,12 +11,11 @@ before_install:
   - NCCL_REPO=nvidia-machine-learning-repo-${UBUNTU_VERSION}_${NCCL}_amd64.deb
   - wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${CUDA_REPO}
   - sudo dpkg -i ${CUDA_REPO}
-  - wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
-  - sudo apt-key add 7fa2af80.pub
+  - sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
   - wget http://developer.download.nvidia.com/compute/machine-learning/repos/${UBUNTU_VERSION}/x86_64/${NCCL_REPO}
   - sudo dpkg -i ${NCCL_REPO}
   - sudo apt update -qq
-  - sudo apt install -y cuda-core-${CUDA_APT} cuda-cudart-dev-${CUDA_APT} cuda-cufft-dev-${CUDA_APT} libnccl2 libnccl-dev
+  - sudo apt install -y cuda libnccl2 libnccl-dev
   - sudo apt clean
   - CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
   - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

From c6c8e2eb9aab31c00d4fcc741ac6f6ef24eeca2b Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 14:20:37 -0700
Subject: [PATCH 09/11] ci: numa

---
 .travis.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index b4e410467..d8550aa7b 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -15,7 +15,7 @@ before_install:
   - wget http://developer.download.nvidia.com/compute/machine-learning/repos/${UBUNTU_VERSION}/x86_64/${NCCL_REPO}
   - sudo dpkg -i ${NCCL_REPO}
   - sudo apt update -qq
-  - sudo apt install -y cuda libnccl2 libnccl-dev
+  - sudo apt install -y cuda libnccl2 libnccl-dev libnuma-dev
   - sudo apt clean
   - CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
   - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

From e12512651b9ec3ec897eff480ad6a6879eb2977a Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 15:09:42 -0700
Subject: [PATCH 10/11] ci: lifecycle

---
 .travis.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index d8550aa7b..1a9662e73 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -14,6 +14,7 @@ before_install:
   - sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
   - wget http://developer.download.nvidia.com/compute/machine-learning/repos/${UBUNTU_VERSION}/x86_64/${NCCL_REPO}
   - sudo dpkg -i ${NCCL_REPO}
+install:
   - sudo apt update -qq
   - sudo apt install -y cuda libnccl2 libnccl-dev libnuma-dev
   - sudo apt clean
@@ -21,6 +22,6 @@ before_install:
   - LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
   - PATH=${CUDA_HOME}/bin:${PATH}
   - pip install mxnet-cu101 tensorflow-gpu torch torchvision
-install:
+script:
   - BYTEPS_CUDA_HOME=${CUDA_HOME}
   - python setup.py install

From d9309991101dc2c13aaa60c1e3f0cdec0b440fbb Mon Sep 17 00:00:00 2001
From: Chang Lan <lanchang@bytedance.com>
Date: Thu, 27 Jun 2019 15:32:35 -0700
Subject: [PATCH 11/11] ci: readme badge

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index ffee3b22d..897bcd6dd 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,6 @@
 # BytePS
 
+[![Build Status](https://travis-ci.org/bytedance/byteps.svg?branch=master)](https://travis-ci.org/bytedance/byteps)
 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 
 BytePS is a high performance and general distributed training framework. It supports TensorFlow, Keras, PyTorch, and MXNet, and can run on either TCP or RDMA network.