update repo

This commit is contained in:
嘉渊 2023-08-05 17:55:06 +08:00
parent 47343b5c2f
commit ecead60d25

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@ -222,10 +222,10 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
python local/model_averaging.py ${exp_dir}/exp/${simu_allspkr_model_dir}/$simu_allspkr_ave_id.pb $models
fi
# Training on simulated all-speaker data with chunk_size=2000
# Training on simulated all-speaker data with chunk_size 2000
world_size=$gpu_num
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "stage 3: Training on simulated all-speaker data with chunk_size=2000"
echo "stage 3: Training on simulated all-speaker data with chunk_size 2000"
mkdir -p ${exp_dir}/exp/${simu_allspkr_chunk2000_model_dir}
mkdir -p ${exp_dir}/exp/${simu_allspkr_chunk2000_model_dir}/log
INIT_FILE=${exp_dir}/exp/${simu_allspkr_chunk2000_model_dir}/ddp_init
@ -263,11 +263,11 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
wait
fi
# Training on callhome all-speaker data with chunk_size=2000
# Training on callhome all-speaker data with chunk_size 2000
world_size=$gpu_num
callhome_ave_id=avg${callhome_average_start}-${callhome_average_end}
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
echo "stage 4: Training on callhome all-speaker data with chunk_size=2000"
echo "stage 4: Training on callhome all-speaker data with chunk_size 2000"
mkdir -p ${exp_dir}/exp/${callhome_model_dir}
mkdir -p ${exp_dir}/exp/${callhome_model_dir}/log
INIT_FILE=${exp_dir}/exp/${callhome_model_dir}/ddp_init