add the limitation of the number of tag in tensor visualization.

tutorials/source_en/advanced_use/dashboard_and_lineage.md

@@ -566,7 +566,7 @@ Figure 21 shows the scalars comparision function area, which allows you to view
 To limit time of listing summaries, MindInsight lists at most 999 summary items.
 
 To limit memory usage, MindInsight limits the number of tags and steps:
-- There are 300 tags at most in each training dashboard. Total number of scalar tags, image tags, computation graph tags, parameter distribution(histogram) tags, tensor tags can not exceed 300. Specially, there are 10 computation graph tags at most. When tags exceed limit, MindInsight preserves the most recently processed tags.
+- There are 300 tags at most in each training dashboard. Total number of scalar tags, image tags, computation graph tags, parameter distribution(histogram) tags, tensor tags can not exceed 300. Specially, there are 10 computation graph tags and 6 tensor tags at most. When tags exceed limit, MindInsight preserves the most recently processed tags.
 - There are 1000 steps at most for each scalar tag in each training dashboard. When steps exceed limit, MindInsight will sample steps randomly to meet this limit.
 - There are 10 steps at most for each image tag in each training dashboard. When steps exceed limit, MindInsight will sample steps randomly to meet this limit.
 - There are 50 steps at most for each parameter distribution(histogram) tag in each training dashboard. When steps exceed limit, MindInsight will sample steps randomly to meet this limit.

tutorials/source_zh_cn/advanced_use/dashboard_and_lineage.md

@@ -567,7 +567,7 @@ model.train(cnn_network, callbacks=[confusion_martrix])
 为了控制列出summary列表的用时，MindInsight最多支持发现999个summary列表条目。
 
 为了控制内存占用，MindInsight对标签（tag）数目和步骤（step）数目进行了限制：
-- 每个训练看板的最大标签数量为300个标签。标量标签、图片标签、计算图标签、参数分布图（直方图）标签、张量标签的数量总和不得超过300个。特别地，每个训练看板最多有10个计算图标签。当实际标签数量超过这一限制时，将依照MindInsight的处理顺序，保留最近处理的300个标签。
+- 每个训练看板的最大标签数量为300个标签。标量标签、图片标签、计算图标签、参数分布图（直方图）标签、张量标签的数量总和不得超过300个。特别地，每个训练看板最多有10个计算图标签、6个张量标签。当实际标签数量超过这一限制时，将依照MindInsight的处理顺序，保留最近处理的300个标签。
 - 每个训练看板的每个标量标签最多有1000个步骤的数据。当实际步骤的数目超过这一限制时，将对数据进行随机采样，以满足这一限制。
 - 每个训练看板的每个图片标签最多有10个步骤的数据。当实际步骤的数目超过这一限制时，将对数据进行随机采样，以满足这一限制。
 - 每个训练看板的每个参数分布图（直方图）标签最多有50个步骤的数据。当实际步骤的数目超过这一限制时，将对数据进行随机采样，以满足这一限制。