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JHSUYU · Mar 26, 2021 · eb621e7 · eb621e7
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diff --git a/doc/visualization.md b/doc/visualization.md
@@ -9,7 +9,7 @@ python -m pip install visualdl -i https://mirror.baidu.com/pypi/simple
 
 ## 开启可视化功能
 1. 在各模型的yaml配置文件中，runner项下添加新的参数“use_visual”，并将该项的值填写为True。该参数为bool类型，默认值为False，用于在安装VisualDL完成的情况下开启可视化训练。
-2. 在模型的dygraph_model.py文件中，可以通过train_forward函数的metrics_list, print_dict两个返回值来输出动态图运行时您需要打印的指标或变量。同理在模型的static_model.py文件中，可以通过net函数的fetch_dict返回值来输出静态图运行时您需要打印的指标。可视化功能会自动收集这些指标，并创建一个log目录存放他们。
+2. 在模型的dygraph_model.py文件中，可以通过train_forward函数的metrics_list, print_dict两个返回值来输出动态图运行时您需要打印的指标或变量。同理在模型的static_model.py文件中，可以通过net函数的fetch_dict返回值来输出静态图运行时您需要打印的指标。可视化功能会自动收集这些指标，并创建一个visualDL_log目录存放他们。
 3. 您可以正常的训练模型
 4. 启动VisualDL面板，有一下两种方法供您选择：
 

diff --git a/tools/infer.py b/tools/infer.py
@@ -85,7 +85,7 @@ def main(args):
     # Create a log_visual object and store the data in the path
     if use_visual:
         from visualdl import LogWriter
-        log_visual = LogWriter(args.abs_dir + "/log/infer")
+        log_visual = LogWriter(args.abs_dir + "/visualDL_log/infer")
 
     # to do : add optimizer function
     #optimizer = dy_model_class.create_optimizer(dy_model, config)

diff --git a/tools/static_infer.py b/tools/static_infer.py
@@ -85,7 +85,7 @@ def main(args):
     # Create a log_visual object and store the data in the path
     if use_visual:
         from visualdl import LogWriter
-        log_visual = LogWriter(args.abs_dir + "/log/infer")
+        log_visual = LogWriter(args.abs_dir + "/visualDL_log/infer")
     step_num = 0
 
     for epoch_id in range(start_epoch, end_epoch):

diff --git a/tools/static_trainer.py b/tools/static_trainer.py
@@ -89,7 +89,7 @@ def main(args):
     # Create a log_visual object and store the data in the path
     if use_visual:
         from visualdl import LogWriter
-        log_visual = LogWriter(args.abs_dir + "/log/train")
+        log_visual = LogWriter(args.abs_dir + "/visualDL_log/train")
     else:
         log_visual = None
     step_num = 0

diff --git a/tools/trainer.py b/tools/trainer.py
@@ -86,7 +86,7 @@ def main(args):
     # Create a log_visual object and store the data in the path
     if use_visual:
         from visualdl import LogWriter
-        log_visual = LogWriter(args.abs_dir + "/log/train")
+        log_visual = LogWriter(args.abs_dir + "/visualDL_log/train")
 
     if model_init_path is not None:
         load_model(model_init_path, dy_model)