fix vgg19 readme and add single train shell

research/cv/vgg19/README_CN.md

@@ -109,6 +109,8 @@ VGG 19网络主要由几个基本模块（包括卷积层和池化层）和三
 
 ```python
 # 训练示例
+bash run_standalone_train_ascend.sh [YAML_CONFIG_PATH] [DATA_PATH]
+
 python train.py  --config_path=[YAML_CONFIG_PATH] --data_dir=[DATA_PATH] --dataset=[DATASET_TYPE] > output.train.log 2>&1 &
 
 # 分布式训练示例
@@ -386,14 +388,14 @@ has_dropout: True                 # 是否使用Dropout层
 
 ```bash
 num_classes: 1000                   # 数据集类数
-lr: 0.01                            # 学习率
+lr: 0.04                            # 学习率
 lr_init: 0.01                       # 初始学习率
 lr_max: 0.1                         # 最大学习率
 lr_epochs: '30,60,90,120'           # 基于变化lr的轮次
 lr_scheduler: "cosine_annealing"    # 学习率模式
 warmup_epochs: 0                    # 热身轮次数
-batch_size: 32                      # 输入张量的批次大小
-max_epoch: 150                      # 只对训练有效，推理固定值为1
+batch_size: 64                      # 输入张量的批次大小
+max_epoch: 90                       # 只对训练有效，推理固定值为1
 momentum: 0.9                       # 动量
 weight_decay: 1e-4                  # 权重衰减
 loss_scale: 1024                    # 损失放大
@@ -403,7 +405,7 @@ buffer_size: 10                     # 混洗缓冲区大小
 image_size: '224,224'               # 图像大小
 pad_mode: 'pad'                     # conv2d的填充方式
 padding: 1                          # conv2d的填充值
-has_bias: True                      # conv2d是否有偏差
+has_bias: False                     # conv2d是否有偏差
 batch_norm: False                   # 在conv2d中是否有batch_norm
 keep_checkpoint_max: 10             # 只保留最后一个keep_checkpoint_max检查点
 initialize_mode: "KaimingNormal"    # conv2d init模式

research/cv/vgg19/scripts/run_standalone_train_ascend.sh

+#!/bin/bash
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+# an simple tutorial as follows, more parameters can be setting
+CONFIG=$1
+DATA_PATH=$2
+
+if [ $# != 2 ]
+then
+    echo "Usage: bash run_standalone_train_ascend.sh [YAML_CONFIG_PATH] [DATA_PATH]"
+exit 1
+fi
+
+if [ ! -f $1 ]
+then
+    echo "error: config_path=$CONFIG is not a file."
+exit 1
+fi
+
+if [ ! -d $2 ]
+then
+    echo "error: data_dir=$DATA_PATH is not a directory."
+exit 1
+fi
+
+python ../train.py --config_path=$CONFIG  --data_dir=$DATA_PATH  > log.txt 2>&1 &