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| | | . ./path.sh || exit 1; |
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| | | |
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| | | # machines configuration |
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| | | CUDA_VISIBLE_DEVICES="0,1" |
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| | | gpu_num=2 |
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| | | CUDA_VISIBLE_DEVICES="0" |
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| | | gpu_num=1 |
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| | | count=1 |
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| | | gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding |
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| | | # for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob |
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| | |
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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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| | | train.py \ |
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| | | --task_name asr \ |
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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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| | |
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| | | --input_size $feats_dim \ |
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| | | --ngpu $gpu_num \ |
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| | | --num_worker_count $count \ |
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| | | --multiprocessing_distributed true \ |
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| | | --dist_init_method $init_method \ |
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| | | --dist_world_size $world_size \ |
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| | | --dist_rank $rank \ |
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