add launch for st, test=asr

examples/aishell/asr0/local/train.sh

@@ -29,6 +29,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --model_type ${model_type} \

examples/aishell/asr0/run.sh

@@ -2,7 +2,7 @@
 set -e
 source path.sh
 
-gpus=1,2,3
+gpus=0,1,2,3
 stage=0
 stop_stage=100
 conf_path=conf/deepspeech2.yaml    #conf/deepspeech2.yaml or conf/deepspeech2_online.yaml

examples/aishell/asr1/local/train.sh

@@ -38,6 +38,7 @@ python3 -u ${BIN_DIR}/train.py \
 --benchmark-max-step ${benchmark_max_step}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --seed ${seed} \
 --config ${config_path} \
 --output exp/${ckpt_name} \

examples/callcenter/asr1/local/train.sh

@@ -29,6 +29,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --seed ${seed}

examples/librispeech/asr0/local/train.sh

@@ -29,6 +29,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --model_type ${model_type} \

examples/librispeech/asr1/local/train.sh

@@ -30,6 +30,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --seed ${seed}

examples/librispeech/asr2/local/train.sh

@@ -28,6 +28,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --model-name u2_kaldi \
 --config ${config_path} \
 --output exp/${ckpt_name} \

examples/ted_en_zh/st0/local/train.sh

@@ -19,11 +19,19 @@ if [ ${seed} != 0 ]; then
     export FLAGS_cudnn_deterministic=True
 fi
 
+if [ ${ngpu} == 0 ]; then
 python3 -u ${BIN_DIR}/train.py \
 --ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --seed ${seed}
+else
+python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
+--config ${config_path} \
+--output exp/${ckpt_name} \
+--seed ${seed}
+fi
 
 if [ ${seed} != 0 ]; then
     unset FLAGS_cudnn_deterministic

examples/ted_en_zh/st1/local/train.sh

@@ -20,12 +20,21 @@ if [ ${seed} != 0 ]; then
     export FLAGS_cudnn_deterministic=True
 fi
 
+if [ ${ngpu} == 0 ]; then
 python3 -u ${BIN_DIR}/train.py \
 --ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --checkpoint_path "${ckpt_path}" \
 --seed ${seed}
+else
+python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
+--config ${config_path} \
+--output exp/${ckpt_name} \
+--checkpoint_path "${ckpt_path}" \
+--seed ${seed}
+fi
 
 if [ ${seed} != 0 ]; then
     unset FLAGS_cudnn_deterministic
@@ -36,4 +45,4 @@ if [ $? -ne 0 ]; then
     exit 1
 fi
 
-exit 0
+exit 0

examples/timit/asr1/local/train.sh

@@ -19,10 +19,19 @@ if [ ${seed} != 0  ]; then
     export FLAGS_cudnn_deterministic=True
 fi
 
+if [ ${ngpu} == 0 ]; then
+python3 -u ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
+--config ${config_path} \
+--output exp/${ckpt_name} \
+--seed ${seed}
+else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --seed ${seed}
+fi
 
 if [ ${seed} != 0 ]; then
     unset FLAGS_cudnn_deterministic

examples/tiny/asr0/local/train.sh

@@ -36,6 +36,7 @@ python3 -u ${BIN_DIR}/train.py \
 --seed ${seed}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --config ${config_path} \
 --output exp/${ckpt_name} \
 --model_type ${model_type} \

examples/tiny/asr1/local/train.sh

@@ -38,6 +38,7 @@ python3 -u ${BIN_DIR}/train.py \
 --benchmark-max-step ${benchmark_max_step}
 else
 python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
+--ngpu ${ngpu} \
 --seed ${seed} \
 --config ${config_path} \
 --output exp/${ckpt_name} \