mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 18:12:19 +00:00
58a96e5b68
* WIP: Support exporting to ONNX format * Minor fixes. * Combine encoder/decoder/joiner into a single file. * Revert merging three onnx models into a single one. It's quite time consuming to extract a sub-graph from the combined model. For instance, it takes more than one hour to extract the encoder model. * Update CI to test ONNX models. * Decode with exported models. * Fix typos. * Add more doc. * Remove ncnn as it is not fully tested yet. * Fix as_strided for streaming conformer.
149 lines
4.4 KiB
Bash
Executable File
149 lines
4.4 KiB
Bash
Executable File
#!/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/librispeech/ASR
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repo_url=https://huggingface.co/csukuangfj/icefall-asr-librispeech-pruned-transducer-stateless3-2022-05-13
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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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soxi $repo/test_wavs/*.wav
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ls -lh $repo/test_wavs/*.wav
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pushd $repo/exp
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ln -s pretrained-iter-1224000-avg-14.pt pretrained.pt
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ln -s pretrained-iter-1224000-avg-14.pt epoch-99.pt
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popd
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log "Test exporting to ONNX format"
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./pruned_transducer_stateless3/export.py \
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--exp-dir $repo/exp \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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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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./pruned_transducer_stateless3/export.py \
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--exp-dir $repo/exp \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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--epoch 99 \
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--avg 1 \
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--jit 1
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./pruned_transducer_stateless3/export.py \
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--exp-dir $repo/exp \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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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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./pruned_transducer_stateless3/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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./pruned_transducer_stateless3/onnx_pretrained.py \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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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 $repo/exp/joiner.onnx \
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$repo/test_wavs/1089-134686-0001.wav \
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$repo/test_wavs/1221-135766-0001.wav \
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$repo/test_wavs/1221-135766-0002.wav
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log "Decode with models exported by torch.jit.trace()"
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./pruned_transducer_stateless3/jit_pretrained.py \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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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/1089-134686-0001.wav \
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$repo/test_wavs/1221-135766-0001.wav \
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$repo/test_wavs/1221-135766-0002.wav
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log "Decode with models exported by torch.jit.script()"
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./pruned_transducer_stateless3/jit_pretrained.py \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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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/1089-134686-0001.wav \
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$repo/test_wavs/1221-135766-0001.wav \
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$repo/test_wavs/1221-135766-0002.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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./pruned_transducer_stateless3/pretrained.py \
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--method greedy_search \
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--max-sym-per-frame $sym \
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--checkpoint $repo/exp/pretrained.pt \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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$repo/test_wavs/1089-134686-0001.wav \
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$repo/test_wavs/1221-135766-0001.wav \
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$repo/test_wavs/1221-135766-0002.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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./pruned_transducer_stateless3/pretrained.py \
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--method $method \
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--beam-size 4 \
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--checkpoint $repo/exp/pretrained.pt \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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$repo/test_wavs/1089-134686-0001.wav \
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$repo/test_wavs/1221-135766-0001.wav \
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$repo/test_wavs/1221-135766-0002.wav
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done
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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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mkdir -p pruned_transducer_stateless3/exp
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ln -s $PWD/$repo/exp/pretrained.pt pruned_transducer_stateless3/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 pruned_transducer_stateless3/exp
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log "Decoding test-clean and test-other"
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# use a small value for decoding with CPU
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max_duration=100
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for method in greedy_search fast_beam_search modified_beam_search; do
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log "Decoding with $method"
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./pruned_transducer_stateless3/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_stateless3/exp
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done
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rm pruned_transducer_stateless3/exp/*.pt
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fi
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