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added CI tests for multi_zh-hans
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jinzr
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commit
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122
.github/scripts/run-multi-zh_hans-zipformer.sh
vendored
Executable file
122
.github/scripts/run-multi-zh_hans-zipformer.sh
vendored
Executable file
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#!/usr/bin/env bash
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set -e
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log() {
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# This function is from espnet
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local fname=${BASH_SOURCE[1]##*/}
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echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
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}
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cd egs/multi-zh_hans/ASR
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repo_url=https://huggingface.co/zrjin/icefall-asr-multi-zh-hans-zipformer-2023-9-2/
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log "Downloading pre-trained model from $repo_url"
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git lfs install
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git clone $repo_url
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repo=$(basename $repo_url)
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log "Display test files"
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tree $repo/
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ls -lh $repo/test_wavs/*.wav
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pushd $repo/exp
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ln -s epoch-20.pt epoch-99.pt
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popd
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log "Test exporting to ONNX format"
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./zipformer/export.py \
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--exp-dir $repo/exp \
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--lang-dir $repo/data/lang_bpe_2000 \
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--epoch 99 \
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--avg 1 \
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--onnx 1
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log "Export to torchscript model"
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./zipformer/export.py \
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--exp-dir $repo/exp \
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--lang-dir $repo/data/lang_bpe_2000 \
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--epoch 99 \
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--avg 1 \
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--jit 1
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./zipformer/export.py \
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--exp-dir $repo/exp \
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--lang-dir $repo/data/lang_bpe_2000 \
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--epoch 99 \
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--avg 1 \
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--jit-trace 1
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ls -lh $repo/exp/*.onnx
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ls -lh $repo/exp/*.pt
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log "Decode with ONNX models"
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./zipformer/onnx_check.py \
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--jit-filename $repo/exp/cpu_jit.pt \
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--onnx-encoder-filename $repo/exp/encoder.onnx \
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--onnx-decoder-filename $repo/exp/decoder.onnx \
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--onnx-joiner-filename $repo/exp/joiner.onnx \
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--onnx-joiner-encoder-proj-filename $repo/exp/joiner_encoder_proj.onnx \
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--onnx-joiner-decoder-proj-filename $repo/exp/joiner_decoder_proj.onnx
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./zipformer/onnx_pretrained.py \
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--tokens $repo/data/lang_bpe_2000/tokens.txt \
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--encoder-model-filename $repo/exp/encoder.onnx \
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--decoder-model-filename $repo/exp/decoder.onnx \
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--joiner-model-filename $repo/exp/joiner.onnx \
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--joiner-encoder-proj-model-filename $repo/exp/joiner_encoder_proj.onnx \
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--joiner-decoder-proj-model-filename $repo/exp/joiner_decoder_proj.onnx \
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$repo/test_wavs/DEV_T0000000000.wav \
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$repo/test_wavs/DEV_T0000000001.wav \
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$repo/test_wavs/DEV_T0000000002.wav
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log "Decode with models exported by torch.jit.trace()"
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./zipformer/jit_pretrained.py \
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--tokens $repo/data/lang_bpe_2000/tokens.txt \
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--encoder-model-filename $repo/exp/encoder_jit_trace.pt \
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--decoder-model-filename $repo/exp/decoder_jit_trace.pt \
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--joiner-model-filename $repo/exp/joiner_jit_trace.pt \
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$repo/test_wavs/DEV_T0000000000.wav \
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$repo/test_wavs/DEV_T0000000001.wav \
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$repo/test_wavs/DEV_T0000000002.wav
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./zipformer/jit_pretrained.py \
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--tokens $repo/data/lang_bpe_2000/tokens.txt \
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--encoder-model-filename $repo/exp/encoder_jit_script.pt \
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--decoder-model-filename $repo/exp/decoder_jit_script.pt \
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--joiner-model-filename $repo/exp/joiner_jit_script.pt \
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$repo/test_wavs/DEV_T0000000000.wav \
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$repo/test_wavs/DEV_T0000000001.wav \
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$repo/test_wavs/DEV_T0000000002.wav
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for sym in 1 2 3; do
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log "Greedy search with --max-sym-per-frame $sym"
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./zipformer/pretrained.py \
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--checkpoint $repo/exp/epoch-99.pt \
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--lang-dir $repo/data/lang_bpe_2000 \
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--decoding-method greedy_search \
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--max-sym-per-frame $sym \
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$repo/test_wavs/DEV_T0000000000.wav \
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$repo/test_wavs/DEV_T0000000001.wav \
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$repo/test_wavs/DEV_T0000000002.wav
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done
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for method in modified_beam_search beam_search fast_beam_search; do
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log "$method"
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./zipformer/pretrained.py \
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--decoding-method $method \
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--beam-size 4 \
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--checkpoint $repo/exp/epoch-99.pt \
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--lang-dir $repo/data/lang_bpe_2000 \
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$repo/test_wavs/DEV_T0000000000.wav \
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$repo/test_wavs/DEV_T0000000001.wav \
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$repo/test_wavs/DEV_T0000000002.wav
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done
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84
.github/workflows/run-multi-zh_hans-zipformer.yml
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.github/workflows/run-multi-zh_hans-zipformer.yml
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# Copyright 2023 Xiaomi Corp. (author: Zengrui Jin)
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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-multi-zh_hans-zipformer
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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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types: [labeled]
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concurrency:
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group: run_multi-zh_hans_zipformer-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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run_multi-zh_hans_zipformer:
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if: github.event.label.name == 'onnx' || github.event.label.name == 'ready' || github.event_name == 'push' || github.event.label.name == 'multi-zh_hans'
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os: [ubuntu-latest]
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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: 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: ${{ matrix.python-version }}
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cache: 'pip'
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cache-dependency-path: '**/requirements-ci.txt'
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- name: Install Python dependencies
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run: |
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grep -v '^#' ./requirements-ci.txt | xargs -n 1 -L 1 pip install
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pip uninstall -y protobuf
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pip install --no-binary protobuf protobuf==3.20.*
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- name: Cache kaldifeat
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id: my-cache
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uses: actions/cache@v2
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with:
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path: |
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~/tmp/kaldifeat
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key: cache-tmp-${{ matrix.python-version }}-2023-05-22
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- name: Install kaldifeat
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if: steps.my-cache.outputs.cache-hit != 'true'
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shell: bash
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run: |
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.github/scripts/install-kaldifeat.sh
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- name: Inference with pre-trained model
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shell: bash
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env:
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GITHUB_EVENT_NAME: ${{ github.event_name }}
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GITHUB_EVENT_LABEL_NAME: ${{ github.event.label.name }}
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run: |
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sudo apt-get -qq install git-lfs tree
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export PYTHONPATH=$PWD:$PYTHONPATH
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export PYTHONPATH=~/tmp/kaldifeat/kaldifeat/python:$PYTHONPATH
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export PYTHONPATH=~/tmp/kaldifeat/build/lib:$PYTHONPATH
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.github/scripts/run-multi-zh_hans-zipformer.sh
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