!351 modify urls

Merge pull request !351 from 俞涵/master

.jenkins/check/config/filter_linklint.txt

@@ -1,4 +0,0 @@
-# akg-third-party
-# file directory: mindspore/akg/third_party/incubator-tvm/
-
-https://www.mindspore.cn/*/en/master/*

examples/natural_robustness/ocr_evaluate/cnn_ctc/README.md

@@ -517,7 +517,7 @@ accuracy:  0.8533
 
 ### Inference
 
-If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorials/experts/en/master/model_infer/inference.html). Following the steps below, this is a simple example:
+If you need to use the trained model to perform inference on multiple hardware platforms, such as GPU, Ascend 910 or Ascend 310, you can refer to this [Link](https://www.mindspore.cn/tutorials/experts/en/master/infer/inference.html). Following the steps below, this is a simple example:
 
 - Running on Ascend
 

examples/natural_robustness/ocr_evaluate/cnn_ctc/README_CN.md

@@ -250,7 +250,7 @@ bash scripts/run_distribute_train_ascend.sh [RANK_TABLE_FILE] [PRETRAINED_CKPT(o
 
 > 注意:
 
-  RANK_TABLE_FILE相关参考资料见[链接](https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/distributed_training_ascend.html), 获取device_ip方法详见[链接](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools).
+  RANK_TABLE_FILE相关参考资料见[链接](https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_ascend.html), 获取device_ip方法详见[链接](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools).
 
 ### 训练结果
 
@@ -449,7 +449,7 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [DVPP] [DEVICE_ID]
 
 ### 推理
 
-如果您需要在GPU、Ascend 910、Ascend 310等多个硬件平台上使用训练好的模型进行推理，请参考此[链接](https://www.mindspore.cn/tutorials/experts/zh-CN/master/model_infer/inference.html)。以下为简单示例：
+如果您需要在GPU、Ascend 910、Ascend 310等多个硬件平台上使用训练好的模型进行推理，请参考此[链接](https://www.mindspore.cn/tutorials/experts/zh-CN/master/infer/inference.html)。以下为简单示例：
 
 - Ascend处理器环境运行