mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-10 10:32:17 +00:00
85 lines
2.4 KiB
YAML
85 lines
2.4 KiB
YAML
# Copyright 2021 Fangjun Kuang (csukuangfj@gmail.com)
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# See ../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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name: run-yesno-recipe
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on:
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push:
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branches:
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- master
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pull_request:
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branches:
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- master
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concurrency:
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group: run-yesno-recipe-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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run-yesno-recipe:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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# os: [ubuntu-18.04, macos-10.15]
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# TODO: enable macOS for CPU testing
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os: [ubuntu-18.04]
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python-version: [3.8]
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fail-fast: false
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steps:
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- uses: actions/checkout@v2
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with:
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fetch-depth: 0
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- name: Install graphviz
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shell: bash
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run: |
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sudo apt-get -qq install graphviz
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- name: Setup Python ${{ matrix.python-version }}
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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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cache: 'pip'
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cache-dependency-path: '**/requirements-ci.txt'
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- name: Install libnsdfile and libsox
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if: startsWith(matrix.os, 'ubuntu')
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run: |
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sudo apt update
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sudo apt install -q -y libsndfile1-dev libsndfile1 ffmpeg
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sudo apt install -q -y --fix-missing sox libsox-dev libsox-fmt-all
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- name: Install Python dependencies
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run: |
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grep -v '^#' ./requirements-ci.txt | grep -v kaldifst | xargs -n 1 -L 1 pip install
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pip uninstall -y protobuf
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pip install --no-binary protobuf protobuf
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- name: Run yesno recipe
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shell: bash
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working-directory: ${{github.workspace}}
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run: |
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export PYTHONPATH=$PWD:$PYTHONPATH
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echo $PYTHONPATH
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cd egs/yesno/ASR
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./prepare.sh
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python3 ./tdnn/train.py
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python3 ./tdnn/decode.py
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# TODO: Check that the WER is less than some value
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