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Publish source code to PyPI.
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.github/workflows/publish_to_pypi.yml
vendored
85
.github/workflows/publish_to_pypi.yml
vendored
@ -20,17 +20,12 @@ on:
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push:
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tags:
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- '*'
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branches:
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- torch-1.7.1
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jobs:
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pypi:
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-18.04, macos-10.15]
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cuda: ["10.1"]
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torch: ["1.7.1"]
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python-version: [3.6, 3.7, 3.8]
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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with:
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@ -39,83 +34,23 @@ jobs:
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- name: Setup Python
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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python-version: 3.6
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- name: Install GCC 7
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if: startsWith(matrix.os, 'ubuntu')
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run: |
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sudo apt-get install -y gcc-7 g++-7
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echo "CC=/usr/bin/gcc-7" >> $GITHUB_ENV
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echo "CXX=/usr/bin/g++-7" >> $GITHUB_ENV
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- name: Install CUDA Toolkit ${{ matrix.cuda }}
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if: startsWith(matrix.os, 'ubuntu')
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shell: bash
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env:
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cuda: ${{ matrix.cuda }}
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run: |
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source ./scripts/github_actions/install_cuda.sh
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echo "CUDA_HOME=${CUDA_HOME}" >> $GITHUB_ENV
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echo "${CUDA_HOME}/bin" >> $GITHUB_PATH
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echo "LD_LIBRARY_PATH=${CUDA_HOME}/lib:${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}" >> $GITHUB_ENV
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- name: Display NVCC version
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if: startsWith(matrix.os, 'ubuntu')
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run: |
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which nvcc
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nvcc --version
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- name: Install PyTorch ${{ matrix.torch }}
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if: startsWith(matrix.os, 'ubuntu')
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env:
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cuda: ${{ matrix.cuda }}
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torch: ${{ matrix.torch }}
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- name: Install Python dependencies
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shell: bash
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run: |
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python3 -m pip install --upgrade pip
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python3 -m pip install wheel twine typing_extensions
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python3 -m pip install bs4 requests tqdm
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python3 -m pip install wheel twine setuptools
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./scripts/github_actions/install_torch.sh
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python3 -c "import torch; print('torch version:', torch.__version__)"
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- name: Install PyTorch ${{ matrix.torch }}
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if: startsWith(matrix.os, 'macos')
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- name: Build
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shell: bash
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run: |
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python3 -m pip install -qq --upgrade pip
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python3 -m pip install -qq wheel twine typing_extensions
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python3 -m pip install -qq torch==${{ matrix.torch }}
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python3 -c "import torch; print('torch version:', torch.__version__)"
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- name: Download cudnn 8.0
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if: startsWith(matrix.os, 'ubuntu')
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env:
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cuda: ${{ matrix.cuda }}
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run: |
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./scripts/github_actions/install_cudnn.sh
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- name: Build pip packages
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shell: bash
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env:
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KALDIFEAT_IS_FOR_PYPI: 1
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run: |
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tag=$(python3 -c "import sys; print(''.join(sys.version[:3].split('.')))")
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export KALDIFEAT_MAKE_ARGS="-j2"
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python3 setup.py bdist_wheel --python-tag=py${tag}
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ls -lh dist/
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python3 setup.py sdist
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ls -l dist/*
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- name: Publish wheels to PyPI
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env:
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TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
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TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
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run: |
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twine upload dist/kaldifeat-*.whl
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- name: Upload Wheel
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uses: actions/upload-artifact@v2
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with:
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name: torch-${{ matrix.torch }}-python-${{ matrix.python-version }}-${{ matrix.os }}
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path: dist/*.whl
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twine upload dist/kaldifeat-*.tar.gz
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@ -4,7 +4,7 @@ cmake_minimum_required(VERSION 3.8 FATAL_ERROR)
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project(kaldifeat)
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set(kaldifeat_VERSION "1.5")
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set(kaldifeat_VERSION "1.5.2.dev")
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set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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11
README.md
11
README.md
@ -210,15 +210,10 @@ for more examples.
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## From PyPi with pip
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If you install `kaldifeat` using `pip`, it will also install
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PyTorch 1.8.1. If this is not what you want (i.e, you have installed a
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different version of PyTorch and you don't want to replace it
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with PyTorch 1.8.1), please add an option `--no-dependencies` to
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`pip install`.
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You need to install PyTorch and CMake first.
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```bash
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pip install kaldifeat # also installs torch 1.8.1
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pip install --no-dependencies kaldifeat # will NOT install torch 1.8.1
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pip install -v kaldilm
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```
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## From source
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@ -226,7 +221,7 @@ pip install --no-dependencies kaldifeat # will NOT install torch 1.8.1
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The following are the commands to compile `kaldifeat` from source.
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We assume that you have installed `cmake` and PyTorch.
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cmake 3.11 is known to work. Other cmake versions may also work.
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PyTorch 1.8.1 is known to work. Other PyTorch versions may also work.
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PyTorch 1.7.1 and 1.8.1 are known to work. Other PyTorch versions may also work.
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```bash
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mkdir /some/path
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