diff --git a/configs/det/dbnet/README.md b/configs/det/dbnet/README.md index 32f830304..dc9ca8cbd 100644 --- a/configs/det/dbnet/README.md +++ b/configs/det/dbnet/README.md @@ -288,7 +288,7 @@ msrun --worker_num=2 --local_worker_num=2 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=2 --local_worker_num=2 python tools/train.py --config configs/det/dbnet/db_r50_icdar15.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The training result (including checkpoints, per-epoch performance and curves) will be saved in the directory parsed by the arg `ckpt_save_dir` in yaml config file. The default directory is `./tmp_det`. diff --git a/configs/det/dbnet/README_CN.md b/configs/det/dbnet/README_CN.md index c94d967f5..4e2ac8341 100644 --- a/configs/det/dbnet/README_CN.md +++ b/configs/det/dbnet/README_CN.md @@ -270,7 +270,7 @@ msrun --worker_num=2 --local_worker_num=2 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=2 --local_worker_num=2 python tools/train.py --config configs/det/dbnet/db_r50_icdar15.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). 训练结果（包括checkpoint、每个epoch的性能和曲线图）将被保存在yaml配置文件的`ckpt_save_dir`参数配置的路径下，默认为`./tmp_det`。 diff --git a/configs/det/dbnet/README_CN_PP-OCRv3.md b/configs/det/dbnet/README_CN_PP-OCRv3.md index 3a4f771ca..191e41879 100644 --- a/configs/det/dbnet/README_CN_PP-OCRv3.md +++ b/configs/det/dbnet/README_CN_PP-OCRv3.md @@ -338,7 +338,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/det/dbnet/db_mobilenetv3_ppocrv3.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). * 单卡训练 diff --git a/configs/det/east/README.md b/configs/det/east/README.md index 81d8de830..65a877caf 100644 --- a/configs/det/east/README.md +++ b/configs/det/east/README.md @@ -136,7 +136,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/det/east/east_r50_icdar15.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The training result (including checkpoints, per-epoch performance and curves) will be saved in the directory parsed by the arg `ckpt_save_dir` in yaml config file. The default directory is `./tmp_det`. diff --git a/configs/det/east/README_CN.md b/configs/det/east/README_CN.md index aa81c7476..c38615818 100644 --- a/configs/det/east/README_CN.md +++ b/configs/det/east/README_CN.md @@ -132,7 +132,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/det/east/east_r50_icdar15.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). 训练结果（包括checkpoint、每个epoch的性能和曲线图）将被保存在yaml配置文件的`ckpt_save_dir`参数配置的路径下，默认为`./tmp_det`。 diff --git a/configs/det/psenet/README.md b/configs/det/psenet/README.md index 556590769..a26264f1b 100644 --- a/configs/det/psenet/README.md +++ b/configs/det/psenet/README.md @@ -156,7 +156,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/det/psenet/pse_r152_icdar15.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The training result (including checkpoints, per-epoch performance and curves) will be saved in the directory parsed by the arg `ckpt_save_dir` in yaml config file. The default directory is `./tmp_det`. diff --git a/configs/det/psenet/README_CN.md b/configs/det/psenet/README_CN.md index d47c9c986..c79bbf88b 100644 --- a/configs/det/psenet/README_CN.md +++ b/configs/det/psenet/README_CN.md @@ -155,7 +155,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/det/psenet/pse_r152_icdar15.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). 训练结果（包括checkpoint、每个epoch的性能和曲线图）将被保存在yaml配置文件的`ckpt_save_dir`参数配置的路径下，默认为`./tmp_det`。 diff --git a/configs/layout/yolov8/README.md b/configs/layout/yolov8/README.md index 72310a3fe..a55d3854c 100644 --- a/configs/layout/yolov8/README.md +++ b/configs/layout/yolov8/README.md @@ -91,7 +91,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/layout/yolov8/yolov8n.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). * Standalone Training diff --git a/configs/layout/yolov8/README_CN.md b/configs/layout/yolov8/README_CN.md index 0e3ca7abb..a9547d211 100644 --- a/configs/layout/yolov8/README_CN.md +++ b/configs/layout/yolov8/README_CN.md @@ -107,7 +107,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/layout/yolov8/yolov8n.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). * 单卡训练 diff --git a/configs/rec/abinet/README.md b/configs/rec/abinet/README.md index 75a5b87f2..f7fcfae91 100644 --- a/configs/rec/abinet/README.md +++ b/configs/rec/abinet/README.md @@ -232,7 +232,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/abinet/abinet_resnet45_en.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The pre-trained model needs to be loaded during ABINet model training, and the weight of the pre-trained model is from [abinet_pretrain_en.ckpt](https://download.mindspore.cn/toolkits/mindocr/abinet/abinet_pretrain_en-821ca20b.ckpt). It is needed to add the path of the pretrained weight to the model pretrained in "configs/rec/abinet/abinet_resnet45_en.yaml". diff --git a/configs/rec/abinet/README_CN.md b/configs/rec/abinet/README_CN.md index 3dd8ebb3b..a09dd5bc4 100644 --- a/configs/rec/abinet/README_CN.md +++ b/configs/rec/abinet/README_CN.md @@ -252,7 +252,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/abinet/abinet_resnet45_en.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). ABINet模型训练时需要加载预训练模型，预训练模型的权重来自[abinet_pretrain_en.ckpt](https://download.mindspore.cn/toolkits/mindocr/abinet/abinet_pretrain_en-821ca20b.ckpt)，需要在“configs/rec/abinet/abinet_resnet45_en.yaml”中model的pretrained添加预训练权重的路径。 diff --git a/configs/rec/crnn/README.md b/configs/rec/crnn/README.md index 0ace0ce0a..cbcc2fd77 100644 --- a/configs/rec/crnn/README.md +++ b/configs/rec/crnn/README.md @@ -264,7 +264,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/crnn/crnn_resnet34.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/crnn/README_CN.md b/configs/rec/crnn/README_CN.md index e1d393c61..f130d0325 100644 --- a/configs/rec/crnn/README_CN.md +++ b/configs/rec/crnn/README_CN.md @@ -266,7 +266,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/crnn/crnn_resnet34.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). * 单卡训练 diff --git a/configs/rec/master/README.md b/configs/rec/master/README.md index eb8768d32..92c6e3aeb 100644 --- a/configs/rec/master/README.md +++ b/configs/rec/master/README.md @@ -287,7 +287,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/master/master_resnet31.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/master/README_CN.md b/configs/rec/master/README_CN.md index 938be72cf..80aabcbd8 100644 --- a/configs/rec/master/README_CN.md +++ b/configs/rec/master/README_CN.md @@ -290,7 +290,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/master/master_resnet31.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/rare/README.md b/configs/rec/rare/README.md index 235a393cb..6f2e6893e 100644 --- a/configs/rec/rare/README.md +++ b/configs/rec/rare/README.md @@ -255,7 +255,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/rare/rare_resnet34.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). * Standalone Training diff --git a/configs/rec/rare/README_CN.md b/configs/rec/rare/README_CN.md index 575e2d307..a98b4672f 100644 --- a/configs/rec/rare/README_CN.md +++ b/configs/rec/rare/README_CN.md @@ -256,7 +256,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/rare/rare_resnet34.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). * 单卡训练 diff --git a/configs/rec/robustscanner/README.md b/configs/rec/robustscanner/README.md index 3098d0653..c67d26c83 100644 --- a/configs/rec/robustscanner/README.md +++ b/configs/rec/robustscanner/README.md @@ -284,7 +284,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/robustscanner/robustscanner_resnet31.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). * Standalone Training diff --git a/configs/rec/robustscanner/README_CN.md b/configs/rec/robustscanner/README_CN.md index 2dc9ab0bb..65ec02179 100644 --- a/configs/rec/robustscanner/README_CN.md +++ b/configs/rec/robustscanner/README_CN.md @@ -289,7 +289,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/robustscanner/robustscanner_resnet31.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). * 单卡训练 diff --git a/configs/rec/svtr/README.md b/configs/rec/svtr/README.md index 42f865411..84f6184ef 100644 --- a/configs/rec/svtr/README.md +++ b/configs/rec/svtr/README.md @@ -269,7 +269,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/svtr/svtr_tiny_8p.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/svtr/README_CN.md b/configs/rec/svtr/README_CN.md index e335faeec..e4ff972df 100644 --- a/configs/rec/svtr/README_CN.md +++ b/configs/rec/svtr/README_CN.md @@ -270,7 +270,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/rec/svtr/svtr_tiny_8p.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/svtr/README_CN_PP-OCRv3.md b/configs/rec/svtr/README_CN_PP-OCRv3.md index abe39d1e0..fcfda761a 100644 --- a/configs/rec/svtr/README_CN_PP-OCRv3.md +++ b/configs/rec/svtr/README_CN_PP-OCRv3.md @@ -301,7 +301,7 @@ msrun --worker_num=4 --local_worker_num=4 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/svtr/svtr_ppocrv3_ch.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). diff --git a/configs/rec/visionlan/README.md b/configs/rec/visionlan/README.md index 847e69828..55ba51c06 100644 --- a/configs/rec/visionlan/README.md +++ b/configs/rec/visionlan/README.md @@ -193,7 +193,7 @@ msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/visionlan/visionlan_resnet45_LF_2.yaml msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/visionlan/visionlan_resnet45_LA.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The training result (including checkpoints, per-epoch performance and curves) will be saved in the directory parsed by the arg `ckpt_save_dir` in yaml config file. The default directory is `./tmp_visionlan`. diff --git a/configs/rec/visionlan/README_CN.md b/configs/rec/visionlan/README_CN.md index 4352c9e73..f42e63b06 100644 --- a/configs/rec/visionlan/README_CN.md +++ b/configs/rec/visionlan/README_CN.md @@ -184,7 +184,7 @@ msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/visionlan/visionlan_resnet45_LF_2.yaml msrun --bind_core=True --worker_num=4 --local_worker_num=4 python tools/train.py --config configs/rec/visionlan/visionlan_resnet45_LA.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). 训练结果（包括checkpoints、每个阶段的性能和loss曲线）将保存在yaml配置文件中由参数`ckpt_save_dir`解析的目录中。默认目录为`./tmp_visionlan`。 diff --git a/configs/table/README.md b/configs/table/README.md index 200cd8387..be0487417 100644 --- a/configs/table/README.md +++ b/configs/table/README.md @@ -144,7 +144,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/table/table_master.yaml ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). The training result (including checkpoints, per-epoch performance and curves) will be saved in the directory parsed by the arg `ckpt_save_dir` in yaml config file. The default directory is `./tmp_table`. diff --git a/configs/table/README_CN.md b/configs/table/README_CN.md index 8a5d42bba..e62bbd36b 100644 --- a/configs/table/README_CN.md +++ b/configs/table/README_CN.md @@ -138,7 +138,7 @@ msrun --worker_num=8 --local_worker_num=8 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=8 --local_worker_num=8 python tools/train.py --config configs/table/table_master.yaml ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). 训练结果（包括checkpoint、每个epoch的性能和曲线图）将被保存在yaml配置文件的`ckpt_save_dir`参数配置的路径下，默认为`./tmp_table`。 diff --git a/examples/license_plate_detection_and_recognition/README.md b/examples/license_plate_detection_and_recognition/README.md index 8e3e5fef8..28f04b246 100644 --- a/examples/license_plate_detection_and_recognition/README.md +++ b/examples/license_plate_detection_and_recognition/README.md @@ -252,7 +252,7 @@ msrun --worker_num=2 --local_worker_num=2 python tools/train.py --config configs # Based on verification,binding cores usually results in performance acceleration.Please configure the parameters and run. msrun --bind_core=True --worker_num=2 --local_worker_num=2 python tools/train.py --config configs/det/dbnet/db_r50_ccpd.yaml --device_target Ascend/GPU ``` -**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/master/model_train/parallel/msrun_launcher.html). +**Note:** For more information about msrun configuration, please refer to [here](https://www.mindspore.cn/docs/en/r2.5.0/model_train/parallel/msrun_launcher.html). ## Test diff --git a/examples/license_plate_detection_and_recognition/README_CN.md b/examples/license_plate_detection_and_recognition/README_CN.md index 792e5d37f..737c96824 100644 --- a/examples/license_plate_detection_and_recognition/README_CN.md +++ b/examples/license_plate_detection_and_recognition/README_CN.md @@ -252,7 +252,7 @@ msrun --worker_num=2 --local_worker_num=2 python tools/train.py --config configs # 经验证，绑核在大部分情况下有性能加速，请配置参数并运行 msrun --bind_core=True --worker_num=2 --local_worker_num=2 python tools/train.py --config configs/det/dbnet/db_r50_ccpd.yaml --device_target Ascend/GPU ``` -**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/master/model_train/parallel/msrun_launcher.html). +**注意:** 有关 msrun 配置的更多信息，请参考[此处](https://www.mindspore.cn/docs/zh-CN/r2.5.0/model_train/parallel/msrun_launcher.html). ## 测试