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minor fixes
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@ -7,7 +7,7 @@
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# this script.
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mkdir -p ~/tmp
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cd tmp
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cd ~/tmp
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git lfs install
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git clone https://huggingface.co/csukuangfj/giga-dev-dataset-fbank
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50
.github/scripts/run-gigaspeech-pruned-transducer-stateless2-2022-05-12.sh
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Executable file
50
.github/scripts/run-gigaspeech-pruned-transducer-stateless2-2022-05-12.sh
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Executable file
@ -0,0 +1,50 @@
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#!/usr/bin/env bash
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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/gigaspeech/ASR
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repo_url=https://huggingface.co/wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2
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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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echo "GITHUB_EVENT_NAME: ${GITHUB_EVENT_NAME}"
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echo "GITHUB_EVENT_LABEL_NAME: ${GITHUB_EVENT_LABEL_NAME}"
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# if [[ x"${GITHUB_EVENT_NAME}" == x"schedule" || x"${GITHUB_EVENT_LABEL_NAME}" == x"run-decode" ]]; then
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if [[ x"${GITHUB_EVENT_NAME}" == x"push" || x"${GITHUB_EVENT_LABEL_NAME}" == x"run-decode" ]]; then
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mkdir -p pruned_transducer_stateless2/exp
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ln -s $PWD/$repo/exp/pretrained-epoch-29-avg-11.pt pruned_transducer_stateless2/exp/epoch-999.pt
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ln -s $PWD/$repo/data/lang_bpe_500 data/
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ls -lh data
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ls -lh data/lang_bpe_500
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ls -lh data/fbank
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ls -lh pruned_transducer_stateless2/exp
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log "Decoding dev and test"
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# use a small value for decoding with CPU
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max_duration=100
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# Test only greedy_search to reduce CI running time
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# for method in greedy_search fast_beam_search modified_beam_search; do
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for method in greedy_search; do
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log "Decoding with $method"
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./pruned_transducer_stateless2/decode.py \
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--decoding-method $method \
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--epoch 999 \
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--avg 1 \
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--max-duration $max_duration \
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--exp-dir pruned_transducer_stateless2/exp
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done
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rm pruned_transducer_stateless2/exp/*.pt
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fi
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38
.github/workflows/run-gigaspeech-2022-05-13.yml
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38
.github/workflows/run-gigaspeech-2022-05-13.yml
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@ -81,3 +81,41 @@ jobs:
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sudo apt-get install -y -q git-lfs
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.github/scripts/download-gigaspeech-dev-test-dataset.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: ${{ github.event.label.name }}
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run: |
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ln -s ~/tmp/giga-dev-dataset-fbank/data egs/gigaspeech/ASR/
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ls -lh egs/gigaspeech/ASR/data/fbank
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export PYTHONPATH=$PWD:$PYTHONPATH
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export PYTHONPATH=~/tmp/kaldifeat/kaldifeat/python:$PYTHONPATH
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export PYTHONPATH=~/tmp/kaldifeat/build/lib:$PYTHONPATH
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.github/scripts/run-gigaspeech-pruned-transducer-stateless2-2022-05-12.sh
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- name: Display decoding results for pruned_transducer_stateless
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# if: github.event_name == 'schedule' || github.event.label.name == 'run-decode'
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shell: bash
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run: |
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cd egs/gigaspeech/ASR/
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tree ./pruned_transducer_stateless2/exp
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sudo apt-get -qq install tree
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cd pruned_transducer_stateless2
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echo "results for pruned_transducer_stateless2"
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echo "===greedy search==="
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find exp/greedy_search -name "log-*" -exec grep -n --color "best for dev" {} + | sort -n -k2
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find exp/greedy_search -name "log-*" -exec grep -n --color "best for test" {} + | sort -n -k2
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- name: Upload decoding results for gigaspeech pruned_transducer_stateless2
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uses: actions/upload-artifact@v2
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# if: github.event_name == 'schedule' || github.event.label.name == 'run-decode'
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with:
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name: torch-${{ matrix.torch }}-python-${{ matrix.python-version }}-ubuntu-18.04-cpu-gigaspeech-pruned_transducer_stateless2-2022-05-12
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path: egs/gigaspeech/ASR/pruned_transducer_stateless2/exp/
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