diff --git a/.github/scripts/run-gigaspeech-zipformer-2023-10-17.sh b/.github/scripts/run-gigaspeech-zipformer-2023-10-17.sh new file mode 100755 index 000000000..6bb0b9ebc --- /dev/null +++ b/.github/scripts/run-gigaspeech-zipformer-2023-10-17.sh @@ -0,0 +1,94 @@ +#!/usr/bin/env bash + +set -e + +log() { + # This function is from espnet + local fname=${BASH_SOURCE[1]##*/} + echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*" +} + +cd egs/gigaspeech/ASR + +repo_url=https://huggingface.co/yfyeung/icefall-asr-gigaspeech-zipformer-2023-10-17 + +log "Downloading pre-trained model from $repo_url" +git lfs install +GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url +repo=$(basename $repo_url) + +log "Display test files" +tree $repo/ +ls -lh $repo/test_wavs/*.wav + +pushd $repo/exp +git lfs pull --include "data/lang_bpe_500/bpe.model" +git lfs pull --include "data/lang_bpe_500/tokens.txt" +git lfs pull --include "exp/jit_script.pt" +git lfs pull --include "exp/pretrained.pt" +ln -s pretrained.pt epoch-99.pt +ls -lh *.pt +popd + +log "Export to torchscript model" +./zipformer/export.py \ + --exp-dir $repo/exp \ + --use-averaged-model false \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + --epoch 99 \ + --avg 1 \ + --jit 1 + +ls -lh $repo/exp/*.pt + +log "Decode with models exported by torch.jit.script()" + +./zipformer/jit_pretrained.py \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + --nn-model-filename $repo/exp/jit_script.pt \ + $repo/test_wavs/1089-134686-0001.wav \ + $repo/test_wavs/1221-135766-0001.wav \ + $repo/test_wavs/1221-135766-0002.wav + +for method in greedy_search modified_beam_search fast_beam_search; do + log "$method" + + ./zipformer/pretrained.py \ + --method $method \ + --beam-size 4 \ + --checkpoint $repo/exp/pretrained.pt \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + $repo/test_wavs/1089-134686-0001.wav \ + $repo/test_wavs/1221-135766-0001.wav \ + $repo/test_wavs/1221-135766-0002.wav +done + +echo "GITHUB_EVENT_NAME: ${GITHUB_EVENT_NAME}" +echo "GITHUB_EVENT_LABEL_NAME: ${GITHUB_EVENT_LABEL_NAME}" +if [[ x"${GITHUB_EVENT_NAME}" == x"schedule" || x"${GITHUB_EVENT_LABEL_NAME}" == x"run-decode" ]]; then + mkdir -p zipformer/exp + ln -s $PWD/$repo/exp/pretrained.pt zipformer/exp/epoch-999.pt + ln -s $PWD/$repo/data/lang_bpe_500 data/ + + ls -lh data + ls -lh zipformer/exp + + log "Decoding test-clean and test-other" + + # use a small value for decoding with CPU + max_duration=100 + + for method in greedy_search fast_beam_search modified_beam_search; do + log "Decoding with $method" + + ./zipformer/decode.py \ + --decoding-method $method \ + --epoch 999 \ + --avg 1 \ + --use-averaged-model 0 \ + --max-duration $max_duration \ + --exp-dir zipformer/exp + done + + rm zipformer/exp/*.pt +fi diff --git a/.github/scripts/run-librispeech-zipformer-2023-10-17.sh b/.github/scripts/run-librispeech-zipformer-2023-10-17.sh new file mode 100755 index 000000000..fb1a0149d --- /dev/null +++ b/.github/scripts/run-librispeech-zipformer-2023-10-17.sh @@ -0,0 +1,94 @@ +#!/usr/bin/env bash + +set -e + +log() { + # This function is from espnet + local fname=${BASH_SOURCE[1]##*/} + echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*" +} + +cd egs/librispeech/ASR + +repo_url=https://huggingface.co/Zengwei/icefall-asr-librispeech-zipformer-2023-05-15 + +log "Downloading pre-trained model from $repo_url" +git lfs install +GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url +repo=$(basename $repo_url) + +log "Display test files" +tree $repo/ +ls -lh $repo/test_wavs/*.wav + +pushd $repo/exp +git lfs pull --include "data/lang_bpe_500/bpe.model" +git lfs pull --include "data/lang_bpe_500/tokens.txt" +git lfs pull --include "exp/jit_script.pt" +git lfs pull --include "exp/pretrained.pt" +ln -s pretrained.pt epoch-99.pt +ls -lh *.pt +popd + +log "Export to torchscript model" +./zipformer/export.py \ + --exp-dir $repo/exp \ + --use-averaged-model false \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + --epoch 99 \ + --avg 1 \ + --jit 1 + +ls -lh $repo/exp/*.pt + +log "Decode with models exported by torch.jit.script()" + +./zipformer/jit_pretrained.py \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + --nn-model-filename $repo/exp/jit_script.pt \ + $repo/test_wavs/1089-134686-0001.wav \ + $repo/test_wavs/1221-135766-0001.wav \ + $repo/test_wavs/1221-135766-0002.wav + +for method in greedy_search modified_beam_search fast_beam_search; do + log "$method" + + ./zipformer/pretrained.py \ + --method $method \ + --beam-size 4 \ + --checkpoint $repo/exp/pretrained.pt \ + --tokens $repo/data/lang_bpe_500/tokens.txt \ + $repo/test_wavs/1089-134686-0001.wav \ + $repo/test_wavs/1221-135766-0001.wav \ + $repo/test_wavs/1221-135766-0002.wav +done + +echo "GITHUB_EVENT_NAME: ${GITHUB_EVENT_NAME}" +echo "GITHUB_EVENT_LABEL_NAME: ${GITHUB_EVENT_LABEL_NAME}" +if [[ x"${GITHUB_EVENT_NAME}" == x"schedule" || x"${GITHUB_EVENT_LABEL_NAME}" == x"run-decode" ]]; then + mkdir -p zipformer/exp + ln -s $PWD/$repo/exp/pretrained.pt zipformer/exp/epoch-999.pt + ln -s $PWD/$repo/data/lang_bpe_500 data/ + + ls -lh data + ls -lh zipformer/exp + + log "Decoding test-clean and test-other" + + # use a small value for decoding with CPU + max_duration=100 + + for method in greedy_search fast_beam_search modified_beam_search; do + log "Decoding with $method" + + ./zipformer/decode.py \ + --decoding-method $method \ + --epoch 999 \ + --avg 1 \ + --use-averaged-model 0 \ + --max-duration $max_duration \ + --exp-dir zipformer/exp + done + + rm zipformer/exp/*.pt +fi diff --git a/.github/workflows/run-gigaspeech-zipformer-2023-10-17.yml b/.github/workflows/run-gigaspeech-zipformer-2023-10-17.yml new file mode 100644 index 000000000..1a9b1b0be --- /dev/null +++ b/.github/workflows/run-gigaspeech-zipformer-2023-10-17.yml @@ -0,0 +1,159 @@ +# Copyright 2022 Fangjun Kuang (csukuangfj@gmail.com) + +# See ../../LICENSE for clarification regarding multiple authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +name: run-gigaspeech-zipformer-2023-10-17 +# zipformer + +on: + push: + branches: + - master + pull_request: + types: [labeled] + + schedule: + # minute (0-59) + # hour (0-23) + # day of the month (1-31) + # month (1-12) + # day of the week (0-6) + # nightly build at 15:50 UTC time every day + - cron: "50 15 * * *" + +concurrency: + group: run_gigaspeech_2023_10_17_zipformer-${{ github.ref }} + cancel-in-progress: true + +jobs: + run_gigaspeech_2023_10_17_zipformer: + if: github.event.label.name == 'zipformer' ||github.event.label.name == 'ready' || github.event.label.name == 'run-decode' || github.event_name == 'push' || github.event_name == 'schedule' + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [ubuntu-latest] + python-version: [3.8] + + fail-fast: false + + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + + - name: Setup Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + cache: 'pip' + cache-dependency-path: '**/requirements-ci.txt' + + - name: Install Python dependencies + run: | + grep -v '^#' ./requirements-ci.txt | xargs -n 1 -L 1 pip install + pip uninstall -y protobuf + pip install --no-binary protobuf protobuf==3.20.* + + - name: Cache kaldifeat + id: my-cache + uses: actions/cache@v2 + with: + path: | + ~/tmp/kaldifeat + key: cache-tmp-${{ matrix.python-version }}-2023-05-22 + + - name: Install kaldifeat + if: steps.my-cache.outputs.cache-hit != 'true' + shell: bash + run: | + .github/scripts/install-kaldifeat.sh + + - name: Cache LibriSpeech test-clean and test-other datasets + id: libri-test-clean-and-test-other-data + uses: actions/cache@v2 + with: + path: | + ~/tmp/download + key: cache-libri-test-clean-and-test-other + + - name: Download LibriSpeech test-clean and test-other + if: steps.libri-test-clean-and-test-other-data.outputs.cache-hit != 'true' + shell: bash + run: | + .github/scripts/download-gigaspeech-test-clean-and-test-other-dataset.sh + + - name: Prepare manifests for LibriSpeech test-clean and test-other + shell: bash + run: | + .github/scripts/prepare-gigaspeech-test-clean-and-test-other-manifests.sh + + - name: Cache LibriSpeech test-clean and test-other fbank features + id: libri-test-clean-and-test-other-fbank + uses: actions/cache@v2 + with: + path: | + ~/tmp/fbank-libri + key: cache-libri-fbank-test-clean-and-test-other-v2 + + - name: Compute fbank for LibriSpeech test-clean and test-other + if: steps.libri-test-clean-and-test-other-fbank.outputs.cache-hit != 'true' + shell: bash + run: | + .github/scripts/compute-fbank-gigaspeech-test-clean-and-test-other.sh + + - name: Inference with pre-trained model + shell: bash + env: + GITHUB_EVENT_NAME: ${{ github.event_name }} + GITHUB_EVENT_LABEL_NAME: ${{ github.event.label.name }} + run: | + mkdir -p egs/gigaspeech/ASR/data + ln -sfv ~/tmp/fbank-libri egs/gigaspeech/ASR/data/fbank + ls -lh egs/gigaspeech/ASR/data/* + + sudo apt-get -qq install git-lfs tree + export PYTHONPATH=$PWD:$PYTHONPATH + export PYTHONPATH=~/tmp/kaldifeat/kaldifeat/python:$PYTHONPATH + export PYTHONPATH=~/tmp/kaldifeat/build/lib:$PYTHONPATH + + .github/scripts/run-gigaspeech-zipformer-2023-10-17.sh + + - name: Display decoding results for gigaspeech zipformer + if: github.event_name == 'schedule' || github.event.label.name == 'run-decode' + shell: bash + run: | + cd egs/gigaspeech/ASR/ + tree ./zipformer/exp + + cd zipformer + echo "results for zipformer" + echo "===greedy search===" + find exp/greedy_search -name "log-*" -exec grep -n --color "best for test-clean" {} + | sort -n -k2 + find exp/greedy_search -name "log-*" -exec grep -n --color "best for test-other" {} + | sort -n -k2 + + echo "===fast_beam_search===" + find exp/fast_beam_search -name "log-*" -exec grep -n --color "best for test-clean" {} + | sort -n -k2 + find exp/fast_beam_search -name "log-*" -exec grep -n --color "best for test-other" {} + | sort -n -k2 + + echo "===modified beam search===" + find exp/modified_beam_search -name "log-*" -exec grep -n --color "best for test-clean" {} + | sort -n -k2 + find exp/modified_beam_search -name "log-*" -exec grep -n --color "best for test-other" {} + | sort -n -k2 + + - name: Upload decoding results for gigaspeech zipformer + uses: actions/upload-artifact@v2 + if: github.event_name == 'schedule' || github.event.label.name == 'run-decode' + with: + name: torch-${{ matrix.torch }}-python-${{ matrix.python-version }}-ubuntu-latest-cpu-zipformer-2022-11-11 + path: egs/gigaspeech/ASR/zipformer/exp/