| | |
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| | | data_dir= |
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| | | exp_dir= |
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| | | model_name=speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch |
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| | | model_revision="v1.0.4" # please do not modify the model revision |
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| | | inference_nj=32 |
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| | | gpuid_list="0,1" # set gpus, e.g., gpuid_list="0,1" |
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| | | gpuid_list="0" # set gpus, e.g., gpuid_list="0,1" |
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| | | ngpu=$(echo $gpuid_list | awk -F "," '{print NF}') |
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| | | njob=4 # the number of jobs for each gpu |
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| | | njob=1 # the number of jobs for each gpu |
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| | | gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding |
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| | | |
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| | | if ${gpu_inference}; then |
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| | |
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| | | --exp_dir ${exp_dir}/speechio \ |
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| | | --test_sets "${test_sets}" \ |
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| | | --model_name ${model_name} \ |
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| | | --model_revision ${model_revision} \ |
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| | | --inference_nj ${inference_nj} \ |
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| | | --gpuid_list ${gpuid_list} \ |
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| | | --njob ${njob} \ |
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