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51 lines
1.2 KiB
51 lines
1.2 KiB
#!/bin/bash
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set -e
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source path.sh
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ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
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if [ ${ngpu} == 0 ];then
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device=cpu
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else
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device=gpu
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fi
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stage=$1
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stop_stage=100
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num_epochs=50
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batch_size=16
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ckpt_dir=./checkpoint
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save_freq=10
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feat_backend=numpy
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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if [ ${ngpu} -gt 1 ]; then
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python -m paddle.distributed.launch --gpus $CUDA_VISIBLE_DEVICES local/train.py \
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--epochs ${num_epochs} \
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--feat_backend ${feat_backend} \
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--batch_size ${batch_size} \
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--checkpoint_dir ${ckpt_dir} \
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--save_freq ${save_freq}
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else
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python local/train.py \
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--device ${device} \
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--epochs ${num_epochs} \
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--feat_backend ${feat_backend} \
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--batch_size ${batch_size} \
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--checkpoint_dir ${ckpt_dir} \
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--save_freq ${save_freq}
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fi
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fi
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audio_file=~/cat.wav
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ckpt=./checkpoint/epoch_50/model.pdparams
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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python local/predict.py \
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--device ${device} \
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--wav ${audio_file} \
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--feat_backend ${feat_backend} \
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--top_k 10 \
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--checkpoint ${ckpt}
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fi
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exit 0 |