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updated CI test for conformer_ctc3
recipe
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@ -40,7 +40,7 @@ for m in ctc-decoding 1best; do
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--model-filename $repo/exp/jit_trace.pt \
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--model-filename $repo/exp/jit_trace.pt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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--tokens $repo/data/lang_bpe_500/tokens.txt \
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--G $repo/data/lm/G_4_gram.pt \
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--G $repo/data/lm/G_4_gram.pt \
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--method $m \
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--method $m \
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--sample-rate 16000 \
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--sample-rate 16000 \
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@ -53,7 +53,7 @@ log "Export to torchscript model"
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./conformer_ctc3/export.py \
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./conformer_ctc3/export.py \
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--exp-dir $repo/exp \
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--exp-dir $repo/exp \
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--lang-dir $repo/data/lang_bpe_500 \
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--tokens $repo/data/lang_bpe_500/tokens.txt \
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--jit-trace 1 \
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--jit-trace 1 \
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--epoch 99 \
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--epoch 99 \
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--avg 1 \
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--avg 1 \
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@ -68,7 +68,7 @@ for m in ctc-decoding 1best; do
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--model-filename $repo/exp/jit_trace.pt \
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--model-filename $repo/exp/jit_trace.pt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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--tokens $repo/data/lang_bpe_500/tokens.txt \
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--G $repo/data/lm/G_4_gram.pt \
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--G $repo/data/lm/G_4_gram.pt \
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--method $m \
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--method $m \
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--sample-rate 16000 \
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--sample-rate 16000 \
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@ -82,7 +82,7 @@ for m in ctc-decoding 1best; do
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--checkpoint $repo/exp/pretrained.pt \
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--checkpoint $repo/exp/pretrained.pt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--words-file $repo/data/lang_bpe_500/words.txt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--HLG $repo/data/lang_bpe_500/HLG.pt \
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--bpe-model $repo/data/lang_bpe_500/bpe.model \
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--tokens $repo/data/lang_bpe_500/tokens.txt \
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--G $repo/data/lm/G_4_gram.pt \
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--G $repo/data/lm/G_4_gram.pt \
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--method $m \
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--method $m \
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--sample-rate 16000 \
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--sample-rate 16000 \
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