| | |
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| | | model_dir="baseline_$(basename "${asr_config}" .yaml)_${feats_type}_${lang}_${token_type}_${tag}" |
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| | | |
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| | | inference_config=conf/decode_asr_transformer_noctc_1best.yaml |
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| | | inference_asr_model=valid.acc.ave_10best.pth |
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| | | inference_asr_model=valid.acc.ave_10best.pb |
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| | | |
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| | | # you can set gpu num for decoding here |
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| | | gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default |
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| | |
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| | | rank=$i |
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| | | local_rank=$i |
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| | | gpu_id=$(echo $CUDA_VISIBLE_DEVICES | cut -d',' -f$[$i+1]) |
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| | | asr_train_paraformer.py \ |
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| | | train.py \ |
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| | | --gpu_id $gpu_id \ |
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| | | --use_preprocessor true \ |
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| | | --token_type char \ |
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