From 37286bb79822fd3565c189f7e404fd8f12e28110 Mon Sep 17 00:00:00 2001 From: huodagu Date: Tue, 12 Apr 2022 17:10:43 +0800 Subject: [PATCH] modify url --- examples/natural_robustness/ocr_evaluate/cnn_ctc/README.md | 2 +- examples/natural_robustness/ocr_evaluate/cnn_ctc/README_CN.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/natural_robustness/ocr_evaluate/cnn_ctc/README.md b/examples/natural_robustness/ocr_evaluate/cnn_ctc/README.md index 0fc5e7f..d2f60f4 100644 --- a/examples/natural_robustness/ocr_evaluate/cnn_ctc/README.md +++ b/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/r1.7/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/r1.7/infer/inference.html). Following the steps below, this is a simple example: - Running on Ascend diff --git a/examples/natural_robustness/ocr_evaluate/cnn_ctc/README_CN.md b/examples/natural_robustness/ocr_evaluate/cnn_ctc/README_CN.md index 82da952..a2dc836 100644 --- a/examples/natural_robustness/ocr_evaluate/cnn_ctc/README_CN.md +++ b/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/r1.7/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/r1.7/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/r1.7/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/r1.7/infer/inference.html)。以下为简单示例： - Ascend处理器环境运行