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"pymarian" CLI, a proxy to "marian" #699

"pymarian" CLI, a proxy to "marian"

"pymarian" CLI, a proxy to "marian" #699

Workflow file for this run

name: Ubuntu
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build-ubuntu:
strategy:
matrix:
include:
# Ubuntu CPU-only build
- name: "Ubuntu CPU-only"
os: ubuntu-20.04
cuda: ""
gcc: 9
clang: ""
cpu: true
gpu: false
unit_tests: true
examples: false
pymarian: true
# Using Clang compiler
- name: "Ubuntu CPU-only clang-14"
os: ubuntu-22.04
cuda: ""
gcc: ""
clang: 14
cpu: true
gpu: false
unit_tests: true
examples: false
pymarian: true
# Ubuntu GPU-only build
- name: "Ubuntu GPU-only"
os: ubuntu-20.04
cuda: "11.1"
gcc: 9
clang: ""
cpu: false
gpu: true
unit_tests: false
examples: true
pymarian: true
# Ubuntu 22.04 supports CUDA 11.7
# Unit tests and examples are not compiled to save disk space
- name: "Ubuntu 22.04 CUDA 11.7 gcc-11"
os: ubuntu-22.04
cuda: "11.7"
gcc: 11
clang: ""
cpu: false
gpu: true
unit_tests: false
examples: false
pymarian: true
# Ubuntu 20.04 supports CUDA 11+
# Unit tests and examples are not compiled to save disk space
- name: "Ubuntu 20.04 CUDA 11.1 gcc-9"
os: ubuntu-20.04
cuda: "11.1"
gcc: 9
clang: ""
cpu: true
gpu: true
unit_tests: false
examples: false
pymarian: true
# Ubuntu 18.04 supports CUDA 10.1+
# But it will soon be removed from GitHub workflows
# Ubuntu 16.04 supports CUDA 8+
# But it is no longer available in GitHub workflows
runs-on: ${{ matrix.os }}
name: ${{ matrix.name }}
steps:
- name: Checkout
uses: actions/checkout@v2
with:
submodules: recursive
# The following packages are already installed on GitHub-hosted runners: build-essential openssl libssl-dev
# No need to install libprotobuf{17,10,9v5} on Ubuntu {20,18,16}.04 because it is installed together with libprotobuf-dev
# Boost is no longer pre-installed on GitHub-hosted runners
# Clang 12, 13 and 14 are pre-installed on the ubuntu-22.04 image
# Note that installation of libunwind-dev is a bug fix for ubuntu-22.04 images on Azure/GitHub-hosted machines
# and is normally not required
- name: Install dependencies
run: |
sudo apt-get install -y libunwind-dev libgoogle-perftools-dev libprotobuf-dev protobuf-compiler libboost-system-dev
[ -z "${{ matrix.gcc }}" ] || sudo apt-get install -y gcc-${{ matrix.gcc }} g++-${{ matrix.gcc }}
# https://software.intel.com/content/www/us/en/develop/articles/installing-intel-free-libs-and-python-apt-repo.html
- name: Install MKL
run: |
wget -qO- "https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB" | sudo apt-key add -
sudo sh -c "echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list"
sudo apt-get update -o Dir::Etc::sourcelist="/etc/apt/sources.list.d/intel-mkl.list"
sudo apt-get install -y --no-install-recommends intel-mkl-64bit-2020.0-088
if: matrix.cpu == true
# The script simplifies installation of different versions of CUDA
- name: Install CUDA
run: ./scripts/ci/install_cuda_ubuntu.sh ${{ matrix.cuda }}
if: matrix.gpu == true
# https://github.com/actions/virtual-environments/issues/687#issuecomment-610471671
- name: Configure CMake
run: |
[ -z "${{ matrix.gcc }}" ] || export CC=/usr/bin/gcc-${{ matrix.gcc }} CXX=/usr/bin/g++-${{ matrix.gcc }} CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}
[ -z "${{ matrix.clang }}" ] || export CC=/usr/bin/clang-${{ matrix.clang }} CXX=/usr/bin/clang++-${{ matrix.clang }}
mkdir -p build
cd build
cmake .. \
-DBoost_ARCHITECTURE=-x64 \
-DCMAKE_BUILD_TYPE=Release \
-DCOMPILE_CPU=${{ matrix.cpu }} \
-DCOMPILE_CUDA=${{ matrix.gpu }} \
-DCOMPILE_EXAMPLES=${{ matrix.examples }} \
-DUSE_TCMALLOC=OFF \
-DCOMPILE_SERVER=on \
-DCOMPILE_TESTS=${{ matrix.unit_tests }} \
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-${{ matrix.cuda }} \
-DDETERMINISTIC=on \
-DUSE_FBGEMM=${{ matrix.cpu }} \
-DUSE_SENTENCEPIECE=on \
-DUSE_STATIC_LIBS=on \
-DPYMARIAN=${{ matrix.pymarian }} \
- name: Compile
working-directory: build
run: make -j2
# TODO: add a flag to CMake to compile unit tests only on CPU
- name: Run unit tests
working-directory: build
run: make test
# GitHub-hosted VMs do not have GPUs, so can not be run in CUDA builds
if: matrix.unit_tests == true && matrix.gpu == false
- name: Print versions
working-directory: build
run: |
./marian --version
./marian-decoder --version
./marian-scorer --version
./marian-server --version
./spm_encode --version
ls -hlv $(find . -maxdepth 1 -type f -executable \( -name "marian*" -o -name "spm*" \))
- name: Install PyMarian
if: matrix.pymarian == true
working-directory: build
env:
CUDA_VERSION: ${{ matrix.cuda }}
run: |
echo "Built wheels:" && ls -lh pymarian*.whl
pytag=$(python3 -c 'import sys; x,y=sys.version_info[:2]; print(f"cp{x}{y}-{sys.platform}")')
whl=$(echo pymarian*${pytag}*.whl)
echo "Chosen wheel: $pytag :: $whl" && ls -lh $whl
python3 -m pip install --upgrade pip pytest
python3 -m pip install -v $whl
python3 -m pymarian -v
pymarian-eval --version
pymarian --version