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PaddleSpeech/examples/librispeech/asr2/local/train.sh

39 lines
648 B

#!/bin/bash
if [ $# != 2 ];then
echo "usage: CUDA_VISIBLE_DEVICES=0 ${0} config_path ckpt_name"
exit -1
fi
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
config_path=$1
ckpt_name=$2
mkdir -p exp
# seed may break model convergence
seed=0
if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
python3 -u ${BIN_DIR}/train.py \
--model-name u2_kaldi \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic
fi
if [ $? -ne 0 ]; then
echo "Failed in training!"
exit 1
fi
exit 0