fix symbol link for runPytorchLauncher.sh

runPytorchLauncher.sh

@@ -1,86 +1 @@
-#!/bin/bash
-
-# Copyright xmuspeech (Author:Snowdar 2020-03-08)
-
-stage=3
-endstage=4
-multi_gpu_solution="ddp"
-omp_num_threads=1
-port=0
-
-. subtools/parse_options.sh
-. subtools/path.sh
-
-if [[ $# < 1 ]];then
-echo "[exit] Num of parameters is zero, expected a launcher."
-echo "usage: $0 <launcher> [launcher-options]"
-echo "e.g. $0 subtools/pytorch/launcher/runSnowdarXvector-voxceleb1.py --gpu-id=0,1,2"
-exit 1
-fi
-
-launcher=$1
-shift
-
-[ ! -f $launcher ] && echo "Expected $launcher (*.py) to exist." && exit 1
-
-# Should note the " and space char when giving a parameter from shell to python.
-launcher_options=""
-num_gpu=1
-while true;do
-    [ $# -eq 0 ] && break
-
-    if [[ $1 == "--gpu-id="* ]];then
-        gpu_id_option=$(echo "$1" | sed 's/ /,/g')
-        launcher_options="$launcher_options $gpu_id_option"
-        num_gpu=$(echo $gpu_id_option | sed 's/=/ /g' | awk '{print $2}' | sed 's/[,-]/\n/g' | sed '/^$/d' | wc -l)
-    elif [[ $1 == "--multi-gpu-solution="* ]];then
-        multi_gpu_solution=$(echo $1 | sed 's/=/ /g' | awk '{print $2}')
-        launcher_options="$launcher_options $1"
-    elif [[ $1 == "--port="* ]];then
-        port=$(echo $1 | sed 's/=/ /g' | awk '{print $2}')
-        launcher_options="$launcher_options $1"
-    elif [[ $1 == "--stage="* ]];then
-        stage=$(echo $1 | sed 's/=/ /g' | awk '{print $2}')
-    elif [[ $1 == "--endstage="* ]];then
-        endstage=$(echo $1 | sed 's/=/ /g' | awk '{print $2}')
-    else
-        launcher_options="$launcher_options $1"
-    fi
-    shift
-done
-
-
-# Add multi-gpu case.
-if [ $num_gpu -gt 1 ];then
-    if [ "$multi_gpu_solution" == "horovod" ];then
-        sh subtools/pytorch/launcher/multi_gpu/check_horovod.sh || exit 1
-        # Ser cache for synchronize batchnorm to avoid WARNING.
-        export HOROVOD_CACHE_CAPACITY=0
-        train_cmd="horovodrun -np $num_gpu python3"
-    elif [ "$multi_gpu_solution" == "ddp" ];then
-        export OMP_NUM_THREADS=$omp_num_threads
-        if [ "$port" == "0" ];then
-            port=$(python3 subtools/pytorch/launcher/multi_gpu/get_free_port.py)
-            # launcher_options="$launcher_options --port $port"
-        fi
-        train_cmd="python3 -m torch.distributed.launch --nproc_per_node=$num_gpu --master_port=$port"
-		# train_cmd="torchrun --nproc_per_node=$num_gpu"
-    else
-        echo "[exit] Do not support $multi_gpu_solution solution for multi-GPU training." && exit 1
-    fi
-else
-    train_cmd="python3"
-fi
-
-# Split this two stage to free GPU memory of model by an exit-python way 
-# and use these GPU memory to extract x-vectors.
-if [[ "$stage" -le 3 && "$endstage" -ge "$stage" ]];then
-    [ $endstage -ge 3 ] && endstage=3
-    $train_cmd $launcher $launcher_options --stage=$stage --endstage=$endstage || exit 1 
-fi
-
-if [[ "$stage" -le 4 && "$endstage" -ge 4 ]];then
-    python3 $launcher --stage=4 || exit 1
-fi
-
-exit 0
+pytorch/launcher/runLauncher.sh