!3836 移除lenet golden-stick pretrain

Merge pull request !3836 from KXiong/master

official/cv/lenet/README.md

@@ -307,10 +307,6 @@ bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/
 # standalone training example, apply SimQAT and train from full precision checkpoint
 cd ./golden_stick/scripts/
 bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/lenet_mnist_config.yaml /path/to/dataset FP32 /path/to/fp32_ckpt
-
-# standalone training example, apply SimQAT and train from pretrained checkpoint
-cd ./golden_stick/scripts/
-bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/lenet_mnist_config.yaml /path/to/dataset PRETRAINED /path/to/pretrained_ckpt
 ```
 
 ## Evaluation Process

official/cv/lenet/README_CN.md

@@ -307,10 +307,6 @@ bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/
 # 训练示例（应用SimQAT算法并加载预训练的全精度checkoutpoint，并进行量化训练）
 cd ./golden_stick/scripts/
 bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/lenet_mnist_config.yaml /path/to/dataset FP32 /path/to/fp32_ckpt
-
-# 训练示例（应用SimQAT算法并加载上次量化训练的checkoutpoint，继续进行量化训练）
-cd ./golden_stick/scripts/
-bash run_standalone_train_gpu.sh ../quantization/simqat/ ../quantization/simqat/lenet_mnist_config.yaml /path/to/dataset PRETRAINED /path/to/pretrained_ckpt
 ```
 
 ## 评估过程

official/cv/lenet/golden_stick/scripts/run_standalone_train_gpu.sh

@@ -89,9 +89,6 @@ cd ./train || exit
 if [ "x$CKPT_TYPE" == "xFP32" ]; then
   python train.py --config_path=$CONFIG_FILE --device_target="GPU" --data_path=$DATASET_PATH \
           --fp32_ckpt=$CKPT_FILE &> log &
-elif [ "x$CKPT_TYPE" == "xPRETRAINED" ]; then
-  python train.py --config_path=$CONFIG_FILE --device_target="GPU" --data_path=$DATASET_PATH \
-          --pre_trained=$CKPT_FILE &> log &
 else
   python train.py --config_path=$CONFIG_FILE --device_target="GPU" --data_path=$DATASET_PATH &> log &
 fi