| | |
|---|
| | | . ./path.sh || exit 1; |
|---|
| | | |
|---|
| | | # machines configuration |
|---|
| | | CUDA_VISIBLE_DEVICES="0" |
|---|
| | | gpu_num=1 |
|---|
| | | CUDA_VISIBLE_DEVICES="0,1" |
|---|
| | | gpu_num=2 |
|---|
| | | count=1 |
|---|
| | | gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding |
|---|
| | | # for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob |
|---|
| | |
|---|
| | | local_rank=$i |
|---|
| | | gpu_id=$(echo $CUDA_VISIBLE_DEVICES | cut -d',' -f$[$i+1]) |
|---|
| | | train.py \ |
|---|
| | | --task_name asr \ |
|---|
| | | --gpu_id $gpu_id \ |
|---|
| | | --use_preprocessor true \ |
|---|
| | | --token_type char \ |
|---|
| | |
|---|
| | | --resume true \ |
|---|
| | | --output_dir ${exp_dir}/exp/${model_dir} \ |
|---|
| | | --config $asr_config \ |
|---|
| | | --input_size $feats_dim \ |
|---|
| | | --ngpu $gpu_num \ |
|---|
| | | --num_worker_count $count \ |
|---|
| | | --multiprocessing_distributed true \ |
|---|
| | | --dist_init_method $init_method \ |
|---|
| | | --dist_world_size $world_size \ |
|---|
| | | --dist_rank $rank \ |
|---|
