onnxruntime/tools/ci_build/github/linux/docker/scripts/install_deps.sh
stevenlix 814638cdff
Cherry pick PRs to Rel-1.3.1 (#4198)
* link to folder instead of READMEs inside folder (#3938)

otherwise hard to find the source code

* [Node.js binding] fix linux build (#3927)

* [Node.js binding] add build flag for node.js binding (#3948)

* [Nodejs binding] create a new pipeline to generate signed binaries (#4104)

* add yml files

* update pipeline

* fix yaml syntax

* yaml pop BuildCSharp

* udpate yaml

* do not stage codesign summary

* fix build: pipeline Node.js version to 12.16.3 (#4145)

* [Node.js binding] upgrade node-addon-api to 3.0 (#4148)

* [Node.js binding] add linux and mac package (#4157)

* try mac pipeline

* fix path separator

* copy prebuilds folder

* split esrp yaml for win/mac

* disable mac signing temporarily

* add linux

* fix indent

* add nodetool in linux

* add nodetool in win-ci-2019

* replace linux build by custom docker scripts

* use manylinux as node 12.16 not working on centos6

* try ubuntu

* loosen timeout for test case - multiple runs calls

* add script to support update nodejs binding version (#4164)

* [java] Adds a CUDA test (#3956)

* [java] - adding a cuda enabled test.

* Adding --build_java to the windows gpu ci pipeline.

* Removing a stray line from the unit tests that always enabled CUDA for Java.

* Update OnnxRuntime.java for OS X environment. (#3985)

onnxruntime init failure due to wrong path of reading native libraries. In OS X 64 system, the arch name is detected as x86 which generates invalid path to read native libraries.

Exception java.lang.UnsatisfiedLinkError: no onnxruntime in java.library.path
	at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
	at java.lang.Runtime.loadLibrary0(Runtime.java:870)
	at java.lang.System.loadLibrary(System.java:1122)
	at ai.onnxruntime.OnnxRuntime.load(OnnxRuntime.java:174)
	at ai.onnxruntime.OnnxRuntime.init(OnnxRuntime.java:81)
	at ai.onnxruntime.OrtEnvironment.<clinit>(OrtEnvironment.java:24)

* Create Java publishing pipeline (#3944)

Create CPU and GPu Java publishing pipelines. Final jars are tested on all platforms. However, signing and publishing to maven are manual steps.

* Change group id to com.microsoft.onnxruntime per requirements.

* Java GPu artifact naming (#4179)

Modify gradle build so artifactID has _gpu for GPU builds.
  Pass USE_CUDA flag on CUDA build
  Adjust publishing pipelines to extract POM from a correct path.

Co-Authored-By: @Craigacp

* bump up ORT version to 1.3.1 (#4181)

* move back to toolset 14.16 to possibly work around nvcc bug (#4180)

* Symbolic shape inference exit on models without onnx opset used (#4090)

* Symbolic shape inference exit on models without onnx opset used

* Temporary fix for ConvTranspose with symbolic input dims

Co-authored-by: Changming Sun <me@sunchangming.com>

* Fix Nuphar test failure

* Enlarge the read buffer size in C#/Java test code (#4150)

1. Enlarge the read buffer size further, so that our code can run even faster. TODO: need apply the similar changes to python some other language bindings.
2. Add coreml_VGG16_ImageNet to the test exclusion set of x86_32. It is not a new model but previously we didn't run the test against x86_32.

* Temporarily disable windows static analysis CI job

* skip model coreml_Imputer-LogisticRegression_sklearn_load_breast_cancer

* Delete unused variable

Co-authored-by: Prasanth Pulavarthi <prasantp@microsoft.com>
Co-authored-by: Yulong Wang <yulongw@microsoft.com>
Co-authored-by: Adam Pocock <adam.pocock@oracle.com>
Co-authored-by: jji2019 <49252772+jji2019@users.noreply.github.com>
Co-authored-by: Dmitri Smirnov <yuslepukhin@users.noreply.github.com>
Co-authored-by: Dmitri Smirnov <dmitrism@microsoft.com>
Co-authored-by: George Wu <jywu@microsoft.com>
Co-authored-by: KeDengMS <kedeng@microsoft.com>
Co-authored-by: Changming Sun <me@sunchangming.com>
Co-authored-by: Changming Sun <chasun@microsoft.com>
2020-06-12 11:27:02 -07:00

143 lines
4.4 KiB
Bash
Executable file

#!/bin/bash
set -e
while getopts p:d: parameter_Option
do case "${parameter_Option}"
in
p) PYTHON_VER=${OPTARG};;
d) DEVICE_TYPE=${OPTARG};;
x) BUILD_EXTR_PAR=${OPTARG};;
esac
done
echo "Python version=$PYTHON_VER"
DEVICE_TYPE=${DEVICE_TYPE:=Normal}
#Download a file from internet
function GetFile {
local uri=$1
local path=$2
local force=${3:-false}
local download_retries=${4:-5}
local retry_wait_time_seconds=${5:-30}
if [[ -f $path ]]; then
if [[ $force = false ]]; then
echo "File '$path' already exists. Skipping download"
return 0
else
rm -rf $path
fi
fi
if [[ -f $uri ]]; then
echo "'$uri' is a file path, copying file to '$path'"
cp $uri $path
return $?
fi
echo "Downloading $uri"
# Use aria2c if available, otherwise use curl
if command -v aria2c > /dev/null; then
aria2c -q -d $(dirname $path) -o $(basename $path) "$uri"
else
curl "$uri" -sSL --retry $download_retries --retry-delay $retry_wait_time_seconds --create-dirs -o "$path" --fail
fi
return $?
}
if [[ "$PYTHON_VER" = "3.5" && -d "/opt/python/cp35-cp35m" ]]; then
PYTHON_EXE="/opt/python/cp35-cp35m/bin/python3.5"
elif [[ "$PYTHON_VER" = "3.6" && -d "/opt/python/cp36-cp36m" ]]; then
PYTHON_EXE="/opt/python/cp36-cp36m/bin/python3.6"
elif [[ "$PYTHON_VER" = "3.7" && -d "/opt/python/cp37-cp37m" ]]; then
PYTHON_EXE="/opt/python/cp37-cp37m/bin/python3.7"
elif [[ "$PYTHON_VER" = "3.8" && -d "/opt/python/cp38-cp38" ]]; then
PYTHON_EXE="/opt/python/cp38-cp38/bin/python3.8"
else
PYTHON_EXE="/usr/bin/python${PYTHON_VER}"
fi
SYS_LONG_BIT=$(getconf LONG_BIT)
mkdir -p /tmp/src
GLIBC_VERSION=$(getconf GNU_LIBC_VERSION | cut -f 2 -d \.)
DISTRIBUTOR=$(lsb_release -i -s)
if [[ "$DISTRIBUTOR" = "CentOS" && $SYS_LONG_BIT = "64" ]]; then
LIBDIR="lib64"
else
LIBDIR="lib"
fi
if [[ $SYS_LONG_BIT = "64" && "$GLIBC_VERSION" -gt "9" ]]; then
echo "Installing azcopy"
mkdir -p /tmp/azcopy
GetFile https://aka.ms/downloadazcopy-v10-linux /tmp/azcopy/azcopy.tar.gz
tar --strip 1 -xf /tmp/azcopy/azcopy.tar.gz -C /tmp/azcopy
cp /tmp/azcopy/azcopy /usr/bin
echo "Installing cmake"
GetFile https://github.com/Kitware/CMake/releases/download/v3.13.5/cmake-3.13.5-Linux-x86_64.tar.gz /tmp/src/cmake-3.13.5-Linux-x86_64.tar.gz
tar -zxf /tmp/src/cmake-3.13.5-Linux-x86_64.tar.gz --strip=1 -C /usr
echo "Installing Node.js"
GetFile https://nodejs.org/dist/v12.16.3/node-v12.16.3-linux-x64.tar.xz /tmp/src/node-v12.16.3-linux-x64.tar.xz
tar -xf /tmp/src/node-v12.16.3-linux-x64.tar.xz --strip=1 -C /usr
else
echo "Installing cmake"
GetFile https://github.com/Kitware/CMake/releases/download/v3.13.5/cmake-3.13.5.tar.gz /tmp/src/cmake-3.13.5.tar.gz
tar -xf /tmp/src/cmake-3.13.5.tar.gz -C /tmp/src
pushd .
cd /tmp/src/cmake-3.13.5
./bootstrap --prefix=/usr --parallel=$(getconf _NPROCESSORS_ONLN) --system-bzip2 --system-curl --system-zlib --system-expat
make -j$(getconf _NPROCESSORS_ONLN)
make install
popd
fi
GetFile https://downloads.gradle-dn.com/distributions/gradle-6.3-bin.zip /tmp/src/gradle-6.3-bin.zip
cd /tmp/src
unzip gradle-6.3-bin.zip
mv /tmp/src/gradle-6.3 /usr/local/gradle
if ! [ -x "$(command -v protoc)" ]; then
source ${0/%install_deps\.sh/install_protobuf\.sh}
fi
#Don't update 'wheel' to the latest version. see: https://github.com/pypa/auditwheel/issues/102
${PYTHON_EXE} -m pip install -r ${0/%install_deps\.sh/requirements\.txt}
if [ $DEVICE_TYPE = "Normal" ]; then
${PYTHON_EXE} -m pip install sympy==1.1.1
elif [ $DEVICE_TYPE = "gpu" ]; then
${PYTHON_EXE} -m pip install sympy==1.1.1
if [[ $BUILD_EXTR_PAR = *--enable_training* ]]; then
${PYTHON_EXE} -m pip install --upgrade --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html
fi
if [[ $BUILD_EXTR_PAR = *--enable_training_python_frontend_e2e_tests* ]]; then
${PYTHON_EXE} -m pip install transformers
fi
fi
#install onnx
export ONNX_ML=1
if [ "$PYTHON_VER" = "3.4" ];then
echo "Python 3.5 and above is needed for running onnx tests!" 1>&2
else
source ${0/%install_deps\.sh/install_onnx\.sh} $PYTHON_VER
fi
#The last onnx version will be kept
cd /
rm -rf /tmp/src
if [ "$DISTRIBUTOR" = "Ubuntu" ]; then
apt-get -y remove libprotobuf-dev protobuf-compiler
elif [ "$DISTRIBUTOR" = "CentOS" ]; then
rm -rf /usr/include/google
rm -rf /usr/$LIBDIR/libproto*
else
dnf remove -y protobuf-devel protobuf-compiler
fi