update README at model_zoo

model_zoo/official/cv/FCN8s/README.md

@@ -192,7 +192,7 @@ Dataset used:
 | Parameters                 | Ascend
 | -------------------------- | -----------------------------------------------------------
 | Model Version              | FCN-8s
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8
 | uploaded Date              | 12/30/2020 (month/day/year)
 | MindSpore Version          | 1.1.0-alpha
 | Dataset                    | PASCAL VOC 2012 and SBD
@@ -211,7 +211,7 @@ Dataset used:
 | Parameters          | Ascend
 | ------------------- | ---------------------------
 | Model Version       | FCN-8s
-| Resource            | Ascend 910
+| Resource            | Ascend 910; OS Euler2.8
 | Uploaded Date       | 10/29/2020 (month/day/year)
 | MindSpore Version   | 1.1.0-alpha
 | Dataset             | PASCAL VOC 2012

model_zoo/official/cv/alexnet/README.md

@@ -193,7 +193,7 @@ Before running the command below, please check the checkpoint path used for eval
 
 | Parameters                 | Ascend                                                      | GPU                                              |
 | -------------------------- | ------------------------------------------------------------| -------------------------------------------------|
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G              | NV SMX2 V100-32G                                 |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             | NV SMX2 V100-32G                                 |
 | uploaded Date              | 06/09/2020 (month/day/year)                                 | 17/09/2020 (month/day/year)                      |
 | MindSpore Version          | 1.0.0                                                  | 0.7.0-beta                                       |
 | Dataset                    | CIFAR-10                                                    | CIFAR-10                                         |

model_zoo/official/cv/alexnet/README_CN.md

@@ -197,7 +197,7 @@ train.py和config.py中主要参数如下：
 
 | 参数 | Ascend | GPU |
 | -------------------------- | ------------------------------------------------------------| -------------------------------------------------|
-| 资源 | Ascend 910；CPU 2.60GHz, 192核；内存：755G | NV SMX2 V100-32G |
+| 资源 | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 | NV SMX2 V100-32G |
 | 上传日期 | 2020-09-06 | 2020-09-17 |
 | MindSpore版本 | 0.5.0-beta | 0.7.0-beta |
 | 数据集 | CIFAR-10 | CIFAR-10 |

model_zoo/official/cv/centerface/README.md

@@ -521,7 +521,7 @@ CenterFace on 13K images(The annotation and data format must be the same as wide
 
 | Parameters                 | CenterFace                                                  |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 10/29/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                 |
 | Dataset                    | 13K images                                                  |
@@ -541,7 +541,7 @@ CenterFace on 3.2K images(The annotation and data format must be the same as wid
 
 | Parameters                 | CenterFace                                                  |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 10/29/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                               |
 | Dataset                    | 3.2K images                                                 |

model_zoo/official/cv/cnn_direction_model/README.md

@@ -151,7 +151,7 @@ Results of evaluation will be printed after evaluation process is completed.
 
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ------------------------------------------------------------|
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G              |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 01/15/2021 (month/day/year)                                 |
 | MindSpore Version          | 1.1                                                  |
 | Dataset                    | FSNS                                                   |

model_zoo/official/cv/cnnctc/README.md

@@ -260,7 +260,7 @@ The model will be evaluated on the IIIT dataset, sample results and overall accu
 | Parameters                 | CNNCTC                                                   |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 09/28/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                      |
 | Dataset                    |  MJSynth,SynthText                                                  |
@@ -277,7 +277,7 @@ The model will be evaluated on the IIIT dataset, sample results and overall accu
 | Parameters          | CNNCTC                   |
 | ------------------- | --------------------------- |
 | Model Version       | V1                |
-| Resource            | Ascend 910                  |
+| Resource            |  Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 09/28/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | IIIT5K    |

model_zoo/official/cv/crnn/README.md

@@ -275,7 +275,7 @@ result CRNNAccuracy is: 0.806666666666
 | Parameters                 | Ascend 910                                        |
 | -------------------------- | --------------------------------------------------|
 | Model Version              | v1.0                                              |
-| Resource                   | Ascend 910, CPU 2.60GHz 192cores, Memory 755G     |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8     |
 | uploaded Date              | 12/15/2020 (month/day/year)                       |
 | MindSpore Version          | 1.0.1                                             |
 | Dataset                    | Synth                                             |
@@ -295,7 +295,7 @@ result CRNNAccuracy is: 0.806666666666
 | Parameters          | SVT                         | IIIT5K                      |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | V1.0                        | V1.0                        |
-| Resource            | Ascend 910                  | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  | Ascend 910                  |
 | Uploaded Date       | 12/15/2020 (month/day/year) | 12/15/2020 (month/day/year) |
 | MindSpore Version   | 1.0.1                       | 1.0.1                       |
 | Dataset             | SVT                         | IIIT5K                      |

model_zoo/official/cv/crnn_seq2seq_ocr/README.md

@@ -169,7 +169,7 @@ Annotation precision precision = 0.635204
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                          |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G               |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                |
 | uploaded Date              | 02/11/2021 (month/day/year)                                 |
 | MindSpore Version          | 1.2.0                                                       |
 | Dataset                    | FSNS                                                        |

model_zoo/official/cv/ctpn/README.md

@@ -301,7 +301,7 @@ Evaluation result will be stored in the example path, you can find result like t
 | Parameters                 | Ascend                                                       |
 | -------------------------- | ------------------------------------------------------------ |
 | Model Version              | CTPN                                                     |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G                |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8                |
 | uploaded Date              | 02/06/2021                                                   |
 | MindSpore Version          | 1.1.1                                                        |
 | Dataset                    | 16930 images                                                 |
@@ -318,7 +318,7 @@ Evaluation result will be stored in the example path, you can find result like t
 | Parameters          | Ascend                 |
 | ------------------- | --------------------------- |
 | Model Version       | CTPN                 |
-| Resource            | Ascend 910, cpu:2.60GHz 192cores, memory:755G         |
+| Resource            | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8         |
 | Uploaded Date       | 02/06/2020                 |
 | MindSpore Version   | 1.1.1              |
 | Dataset             | 229 images                  |

model_zoo/official/cv/deeplabv3/README.md

@@ -530,7 +530,7 @@ Inference result is saved in current path, you can find result in acc.log file.
 | Parameters                 | Ascend 910
 | -------------------------- | -------------------------------------- |
 | Model Version              | DeepLabV3
-| Resource                   | Ascend 910 |
+| Resource                   | Ascend 910; OS Euler2.8 |
 | Uploaded Date              | 09/04/2020 (month/day/year)          |
 | MindSpore Version          | 0.7.0-alpha                       |
 | Dataset                    | PASCAL VOC2012 + SBD              |
@@ -551,7 +551,7 @@ Inference result is saved in current path, you can find result in acc.log file.
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | DeepLabV3 V1                |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 09/04/2020 (month/day/year) |
 | MindSpore Version   | 0.7.0-alpha                 |
 | Dataset             | VOC datasets    |

model_zoo/official/cv/deeplabv3/README_CN.md

@@ -537,12 +537,12 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [DATA_ROOT] [DATA_LIST] [DEVICE_
 
 ## 性能
 
-### 评估性能
+### 训练性能
 
 | 参数 | Ascend 910
 | -------------------------- | -------------------------------------- |
 | 模型版本 | DeepLabV3
-| 资源 | Ascend 910 |
+| 资源 | Ascend 910；系统 Euler2.8 |
 | 上传日期 | 2020-09-04 |
 | MindSpore版本 | 0.7.0-alpha |
 | 数据集 | PASCAL VOC2012 + SBD |
@@ -555,6 +555,20 @@ bash run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [DATA_ROOT] [DATA_LIST] [DEVICE_
 | 微调检查点 | 443M （.ckpt文件） |
 | 脚本 | [链接](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/deeplabv3) |
 
+## 推理性能
+
+| 参数          | Ascend                      |
+| ------------------- | --------------------------- |
+| 模型版本             | DeepLabV3 V1                |
+| 资源                 | Ascend 910；系统 Euler2.8                  |
+| 上传日期       | 2020-09-04 |
+| MindSpore 版本   | 0.7.0-alpha                 |
+| 数据集             | VOC 数据集    |
+| batch_size          | 32 (s16); 16 (s8)                         |
+| 输出             | 概率                 |
+| 准确率            | 8pcs: <br> s16: 77.37 <br>  s8: 78.84% <br>  s8_multiscale: 79.70% <br> s8_Flip: 79.89%  |
+| 推理模型 | 443M (.ckpt 文件)         |
+
 # 随机情况说明
 
 dataset.py中设置了“create_dataset”函数内的种子，同时还使用了train.py中的随机种子。

model_zoo/official/cv/deeptext/README.md

@@ -210,7 +210,7 @@ class 1 precision is 84.24%, recall is 87.40%, F1 is 85.79%
 | Parameters                 | Ascend                                                       |
 | -------------------------- | ------------------------------------------------------------ |
 | Model Version              | Deeptext                                                     |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G, OS:Euler2.8   |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8   |
 | uploaded Date              | 12/26/2020                                                   |
 | MindSpore Version          | 1.1.0                                                        |
 | Dataset                    | 66040 images                                                 |
@@ -227,7 +227,7 @@ class 1 precision is 84.24%, recall is 87.40%, F1 is 85.79%
 | Parameters          | Ascend                 |
 | ------------------- | --------------------------- |
 | Model Version       | Deeptext                 |
-| Resource            | Ascend 910, cpu:2.60GHz 192cores, memory:755G         |
+| Resource            | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8         |
 | Uploaded Date       | 12/26/2020                 |
 | MindSpore Version   | 1.1.0              |
 | Dataset             | 229 images                  |

model_zoo/official/cv/densenet/README.md

@@ -330,7 +330,7 @@ You can modify the training behaviour through the various flags in the `train.py
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | DenseNet121               | DenseNet121               |
-| Resource            | Ascend 910                  | Tesla V100-PCIE             |
+| Resource            | Ascend 910; OS Euler2.8                  | Tesla V100-PCIE             |
 | Uploaded Date       | 09/15/2020 (month/day/year) | 01/27/2021 (month/day/year) |
 | MindSpore Version   | 1.0.0                       | 1.1.0                       |
 | Dataset             | ImageNet                    | ImageNet                    |
@@ -343,7 +343,7 @@ You can modify the training behaviour through the various flags in the `train.py
 | Parameters          | Ascend                      | GPU                          |
 | ------------------- | --------------------------- | ---------------------------- |
 | Model Version       | DenseNet121              | DenseNet121               |
-| Resource            | Ascend 910                  | Tesla V100-PCIE              |
+| Resource            | Ascend 910; OS Euler2.8                  | Tesla V100-PCIE              |
 | Uploaded Date       | 09/15/2020 (month/day/year) | 02/04/2021 (month/day/year)  |
 | MindSpore Version   | 1.0.0                       | 1.1.1                        |
 | Dataset             | ImageNet                    | ImageNet                     |

model_zoo/official/cv/dpn/README.md

@@ -274,7 +274,7 @@ All results are validated at image size of 224x224. The dataset preprocessing an
 | Parameters        | Ascend                      |
 | ----------------- | --------------------------- |
 | Model Version     | DPN92 (Train)               |
-| Resource          | Ascend 910                  |
+| Resource          | Ascend 910; OS Euler2.8                  |
 | Uploaded Date     | 12/20/2020 (month/day/year) |
 | MindSpore Version | 1.1.0                       |
 | Dataset           | ImageNet-1K                 |
@@ -289,7 +289,7 @@ All results are validated at image size of 224x224. The dataset preprocessing an
 | Parameters        | Ascend                            |
 | ----------------- | --------------------------------- |
 | Model Version     | DPN92                             |
-| Resource          | Ascend 910                        |
+| Resource          | Ascend 910; OS Euler2.8                        |
 | Uploaded Date     | 12/20/2020 (month/day/year)       |
 | MindSpore Version | 1.1.0                             |
 | Dataset           | ImageNet-1K                       |

model_zoo/official/cv/faster_rcnn/README.md

@@ -380,7 +380,7 @@ Inference result is saved in current path, you can find result like this in acc.
 | Parameters                 | Ascend                                                   | GPU                                                 |
 | -------------------------- | ----------------------------------------------------------- |----------------------------------------------------------- |
 | Model Version              | V1                                                | V1                                                |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |V100-PCIE 32G            |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |V100-PCIE 32G            |
 | uploaded Date              | 08/31/2020 (month/day/year)                                 |02/10/2021 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |1.2.0                                                       |
 | Dataset                    | COCO2017                                                   |COCO2017                                                   |
@@ -397,7 +397,7 @@ Inference result is saved in current path, you can find result like this in acc.
 | Parameters          | Ascend                |GPU                |
 | ------------------- | --------------------------- |--------------------------- |
 | Model Version       | V1                | V1                |
-| Resource            | Ascend 910                  |GPU                   |
+| Resource            | Ascend 910; OS Euler2.8                  |GPU                   |
 | Uploaded Date       | 08/31/2020 (month/day/year) |02/10/2021 (month/day/year) |
 | MindSpore Version   | 1.0.0                       | 1.2.0                       |
 | Dataset             | COCO2017    |COCO2017    |

model_zoo/official/cv/googlenet/README.md

@@ -332,7 +332,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters                 | Ascend                                                      | GPU                    |
 | -------------------------- | ----------------------------------------------------------- | ---------------------- |
 | Model Version              | Inception V1                                                | Inception V1           |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             | NV SMX2 V100-32G       |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             | NV SMX2 V100-32G       |
 | uploaded Date              | 10/28/2020 (month/day/year)                                 | 10/28/2020 (month/day/year) |
 | MindSpore Version          | 1.0.0                                                       | 1.0.0                  |
 | Dataset                    | CIFAR-10                                                    | CIFAR-10               |
@@ -353,7 +353,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | Inception V1                                                |
-| Resource                   | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G               |
+| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8               |
 | uploaded Date              | 10/28/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | 1200k images                                                |
@@ -375,7 +375,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | Inception V1                | Inception V1                |
-| Resource            | Ascend 910                  | GPU                         |
+| Resource            | Ascend 910; OS Euler2.8                  | GPU                         |
 | Uploaded Date       | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       | 1.0.0                       |
 | Dataset             | CIFAR-10, 10,000 images     | CIFAR-10, 10,000 images     |
@@ -389,7 +389,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | Inception V1                |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 10/28/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | 1200k images                |

model_zoo/official/cv/googlenet/README_CN.md

@@ -307,7 +307,7 @@ GoogleNet由多个inception模块串联起来，可以更加深入。  降维的
 | 参数                 | Ascend                                                      | GPU                    |
 | -------------------------- | ----------------------------------------------------------- | ---------------------- |
 | 模型版本              | Inception V1                                                | Inception V1           |
-| 资源                   | Ascend 910 ；CPU 2.60GHz，192核；内存：755G             | NV SMX2 V100-32G       |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8             | NV SMX2 V100-32G       |
 | 上传日期              | 2020-08-31                                 | 2020-08-20 |
 | MindSpore版本          | 0.7.0-alpha                                                 | 0.6.0-alpha            |
 | 数据集                    | CIFAR-10                                                    | CIFAR-10               |
@@ -328,7 +328,7 @@ GoogleNet由多个inception模块串联起来，可以更加深入。  降维的
 | 参数                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | 模型版本              | Inception V1                                                |
-| 资源                   | Ascend 910, CPU 2.60GHz, 56核, 内存：314G               |
+| 资源                   | Ascend 910；CPU 2.60GHz，56核；内存 314G；系统 Euler2.8               |
 | 上传日期              | 2020-09-20                                 |
 | MindSpore版本          | 0.7.0-alpha                                                 |
 | 数据集                    | 120万张图像                                                |
@@ -350,7 +350,7 @@ GoogleNet由多个inception模块串联起来，可以更加深入。  降维的
 | 参数          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | 模型版本       | Inception V1                | Inception V1                |
-| 资源            | Ascend 910                  | GPU                         |
+| 资源            |  Ascend 910；系统 Euler2.8                  | GPU                         |
 | 上传日期       | 2020-08-31 | 2020-08-20 |
 | MindSpore 版本   | 0.7.0-alpha                 | 0.6.0-alpha                 |
 | 数据集             | CIFAR-10, 1万张图像     | CIFAR-10, 1万张图像     |
@@ -364,7 +364,7 @@ GoogleNet由多个inception模块串联起来，可以更加深入。  降维的
 | 参数          | Ascend                      |
 | ------------------- | --------------------------- |
 | 模型版本       | Inception V1                |
-| 资源            | Ascend 910                  |
+| 资源            |  Ascend 910；系统 Euler2.8                 |
 | 上传日期       | 2020-09-20 |
 | MindSpore版本   | 0.7.0-alpha                 |
 | 数据集             | 12万张图像                |

model_zoo/official/cv/inceptionv3/README.md

@@ -247,7 +247,7 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942}
 | Parameters                 | Ascend                                    |
 | -------------------------- | ---------------------------------------------- |
 | Model Version              | InceptionV3                                    |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G   |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8   |
 | uploaded Date              | 08/21/2020                                     |
 | MindSpore Version          | 0.6.0-beta                                     |
 | Dataset                    | 1200k images                                   |
@@ -269,7 +269,7 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942}
 | Parameters          | Ascend                 |
 | ------------------- | --------------------------- |
 | Model Version       | InceptionV3                 |
-| Resource            | Ascend 910, cpu:2.60GHz 192cores, memory:755G                  |
+| Resource            | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8                   |
 | Uploaded Date       | 08/22/2020                  |
 | MindSpore Version   | 0.6.0-beta                  |
 | Dataset             | 50k images                  |

model_zoo/official/cv/inceptionv3/README_CN.md

@@ -252,7 +252,7 @@ metric:{'Loss':1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942}
 | 参数                 | Ascend                                    |
 | -------------------------- | ---------------------------------------------- |
 | 模型版本              | InceptionV3                                    |
-| 资源                   | Ascend 910, CPU:2.60GHz，192核，内存：755G   |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8   |
 | 上传日期              | 2020-08-21                                     |
 | MindSpore版本          | 0.6.0-beta                                     |
 | 数据集                    | 120万张图像                                   |
@@ -273,7 +273,7 @@ metric:{'Loss':1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942}
 | 参数          | Ascend                 |
 | ------------------- | --------------------------- |
 | 模型版本       | InceptionV3    |
-| 资源            | Ascend 910，CPU： 2.60GHz，192核；内存：755G                  |
+| 资源            |  Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8                 |
 | 上传日期       | 2020-08-22                  |
 | MindSpore 版本   | 0.6.0-beta                  |
 | 数据集             | 5万张图像                  |

model_zoo/official/cv/inceptionv4/README.md

@@ -232,7 +232,7 @@ metric: {'Loss': 0.8144, 'Top1-Acc': 0.8009, 'Top5-Acc': 0.9457}
 | Parameters                 | Ascend                                        | GPU                              |
 | -------------------------- | --------------------------------------------- | -------------------------------- |
 | Model Version              | InceptionV4                                   | InceptionV4                      |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G                 |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8  | NV SMX2 V100-32G                 |
 | uploaded Date              | 11/04/2020                                    | 03/05/2021                       |
 | MindSpore Version          | 1.0.0                                         | 1.0.0                            |
 | Dataset                    | 1200k images                                  | 1200K images                     |
@@ -253,7 +253,7 @@ metric: {'Loss': 0.8144, 'Top1-Acc': 0.8009, 'Top5-Acc': 0.9457}
 | Parameters          | Ascend                                        | GPU                                |
 | ------------------- | --------------------------------------------- | ---------------------------------- |
 | Model Version       | InceptionV4                                   | InceptionV4                        |
-| Resource            | Ascend 910, cpu:2.60GHz 192cores, memory:755G | NV SMX2 V100-32G                   |
+| Resource            | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8 | NV SMX2 V100-32G                   |
 | Uploaded Date       | 11/04/2020                                    | 03/05/2021                         |
 | MindSpore Version   | 1.0.0                                         | 1.0.0                              |
 | Dataset             | 50k images                                    | 50K images                         |

model_zoo/official/cv/lenet/README.md

@@ -165,7 +165,7 @@ You can view the results through the file "log.txt". The accuracy of the test da
 
 | Parameters                 | LeNet                                                   |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8              |
 | uploaded Date              | 09/16/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                      |
 | Dataset                    | MNIST                                                    |

model_zoo/official/cv/lenet/README_CN.md

@@ -167,7 +167,7 @@ sh run_standalone_eval_ascend.sh Data ckpt/checkpoint_lenet-1_1875.ckpt
 
 | 参数                 | LeNet                                                   |
 | -------------------------- | ----------------------------------------------------------- |
-| 资源                   | Ascend 910; CPU：2.60GHz,192核；内存：755G             |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8             |
 | 上传日期              | 2020-06-09                                 |
 | MindSpore版本          | 0.5.0-beta                                                      |
 | 数据集                    | MNIST                                                    |

model_zoo/official/cv/lenet_quant/Readme.md

@@ -160,7 +160,7 @@ You can view the results through the file "log.txt". The accuracy of the test da
 
 | Parameters                 | LeNet                                                       |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910 CPU 2.60GHz 192cores Memory 755G                  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                  |
 | uploaded Date              | 06/09/2020 (month/day/year)                                 |
 | MindSpore Version          | 0.5.0-beta                                                  |
 | Dataset                    | MNIST                                                       |

model_zoo/official/cv/lenet_quant/Readme_CN.md

@@ -164,7 +164,7 @@ python eval.py --data_path Data --ckpt_path ckpt/checkpoint_lenet-1_937.ckpt > l
 
 | 参数                  | LeNet                                                       |
 | -------------------------- | ----------------------------------------------------------- |
-| 资源                   | Ascend 910 CPU：2.60GHz，192核，内存：755G                  |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8                  |
 | 上传日期              | 2020-06-09                                 |
 | MindSpore版本          | 0.5.0-beta                                                  |
 | 数据集                    | MNIST                                                       |

model_zoo/official/cv/maskrcnn/README.md

@@ -561,7 +561,7 @@ Accumulating evaluation results...
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                          |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 08/01/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | COCO2017                                                    |
@@ -582,7 +582,7 @@ Accumulating evaluation results...
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | V1                          |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | COCO2017                    |

model_zoo/official/cv/maskrcnn/README_CN.md

@@ -558,7 +558,7 @@ Accumulating evaluation results...
 | 参数                  | MaskRCNN                                                  |
 | -------------------   | --------------------------------------------------------- |
 | 模型版本              | V1                                                        |
-| 资源                  | Ascend 910；CPU： 2.60GHz，192核；内存：755G              |
+| 资源                  | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8              |
 | 上传日期              | 2020-08-01                                                |
 | MindSpore版本         | 0.6.0-alpha                                               |
 | 数据集                | COCO2017                                                  |
@@ -575,7 +575,7 @@ Accumulating evaluation results...
 | 参数                  | MaskRCNN                      |
 | --------------------- | ----------------------------- |
 | 模型版本              | V1                            |
-| 资源                  | Ascend 910                    |
+| 资源                  | Ascend 910；系统 Euler2.8                    |
 | 上传日期              | 2020-08-01                    |
 | MindSpore版本         | 0.6.0-alpha                   |
 | 数据集                | COCO2017                      |

model_zoo/official/cv/maskrcnn_mobilenetv1/README.md

@@ -412,7 +412,7 @@ Accumulating evaluation results...
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                          |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 12/01/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | COCO2017                                                    |
@@ -430,7 +430,7 @@ Accumulating evaluation results...
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | V1                          |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 12/01/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | COCO2017                    |

model_zoo/official/cv/mobilenetv1/README.md

@@ -164,7 +164,7 @@ result: {'top_5_accuracy': 0.9010016025641026, 'top_1_accuracy': 0.7128004807692
 | Parameters                 | MobilenetV1                                                                                 |
 | -------------------------- | ------------------------------------------------------------------------------------------- |
 | Model Version              | V1                                                                                          |
-| Resource                   | Ascend 910 * 4, cpu:2.60GHz 192cores, memory:755G                                           |
+| Resource                   | Ascend 910 * 4; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8                                           |
 | uploaded Date              | 11/28/2020                                                                                  |
 | MindSpore Version          | 1.0.0                                                                                       |
 | Dataset                    | ImageNet2012                                                                                |

model_zoo/official/cv/mobilenetv2/README.md

@@ -225,7 +225,7 @@ python export.py --platform [PLATFORM] --ckpt_file [CKPT_PATH] --file_format [EX
 | Parameters                 | MobilenetV2                                                |                           |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | Model Version              | V1                                                         | V1                        |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G               | NV SMX2 V100-32G          |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8              | NV SMX2 V100-32G          |
 | uploaded Date              | 05/06/2020                                                 | 05/06/2020                |
 | MindSpore Version          | 0.3.0                                                      | 0.3.0                     |
 | Dataset                    | ImageNet                                                   | ImageNet                  |

model_zoo/official/cv/mobilenetv2/README_CN.md

@@ -231,7 +231,7 @@ python export.py --platform [PLATFORM] --ckpt_file [CKPT_PATH] --file_format [EX
 | 参数                 | MobilenetV2                                                |                           |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | 模型版本              | V1                                                         | V1                        |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G | NV SMX2 V100-32G |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 | NV SMX2 V100-32G |
 | 上传日期              | 2020-05-06                                                 | 2020-05-06                |
 | MindSpore版本          | 0.3.0                                                      | 0.3.0                     |
 | 数据集                    | ImageNet                                                   | ImageNet                  |

model_zoo/official/cv/mobilenetv2_quant/README_CN.md

@@ -182,7 +182,7 @@ result:{'acc':0.71976314102564111}
 | 参数                 | MobilenetV2                                                |
 | -------------------------- | ---------------------------------------------------------- |
 | 模型版本              | V2                                                         |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G               |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8               |
 | 上传日期              | 2020-06-06                                                 |
 | MindSpore版本          | 0.3.0                                                      |
 | 数据集                    | ImageNet                                                   |
@@ -202,7 +202,7 @@ result:{'acc':0.71976314102564111}
 | 参数                 |                               |
 | -------------------------- | ----------------------------- |
 | 模型版本              | V2                            |
-| 资源                   | Ascend 910                    |
+| 资源                   | Ascend 910；系统 Euler2.8                     |
 | 上传日期              | 2020-06-06                    |
 | MindSpore版本          | 0.3.0                         |
 | 数据集                    | ImageNet, 1.2W                |

model_zoo/official/cv/mobilenetv2_quant/Readme.md

@@ -169,7 +169,7 @@ result: {'acc': 0.71976314102564111}
 | Parameters                 | MobilenetV2                                                |
 | -------------------------- | ---------------------------------------------------------- |
 | Model Version              | V2                                                         |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G               |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8               |
 | uploaded Date              | 06/06/2020                                                 |
 | MindSpore Version          | 0.3.0                                                      |
 | Dataset                    | ImageNet                                                   |
@@ -189,7 +189,7 @@ result: {'acc': 0.71976314102564111}
 | Parameters                 |                               |
 | -------------------------- | ----------------------------- |
 | Model Version              | V2                            |
-| Resource                   | Ascend 910                    |
+| Resource                   | Ascend 910; OS Euler2.8                     |
 | uploaded Date              | 06/06/2020                    |
 | MindSpore Version          | 0.3.0                         |
 | Dataset                    | ImageNet, 1.2W                |

model_zoo/official/cv/openpose/README.md

@@ -208,7 +208,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters                 | Ascend
 | -------------------------- | -----------------------------------------------------------
 | Model Version              | openpose
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8
 | uploaded Date              | 12/14/2020 (month/day/year)
 | MindSpore Version          | 1.0.1-alpha
 | Training Parameters        | epoch=60(1pcs)/80(8pcs), steps=30k(1pcs)/5k(8pcs), batch_size=10, init_lr=0.0001

model_zoo/official/cv/psenet/README.md

@@ -184,7 +184,7 @@ Calculated!{"precision": 0.814796668299853, "recall": 0.8006740491092923, "hmean
 | Parameters                 | PSENet                                                   |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 09/30/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                   |
 | Dataset                    | ICDAR2015                                                   |

model_zoo/official/cv/psenet/README_CN.md

@@ -182,7 +182,7 @@ Calculated!{"precision": 0.8147966668299853，"recall"：0.8006740491092923，"h
 | 参数 | PSENet |
 | -------------------------- | ----------------------------------------------------------- |
 | 模型版本 | Inception V1 |
-| 资源 | Ascend 910； CPU： 2.60GHz，192内核；内存，755G |
+| 资源 | Ascend 910； CPU 2.60GHz，192内核；内存 755G；系统 Euler2.8 |
 | 上传日期 | 2020-09-15 |
 | MindSpore版本 | 1.0-alpha |
 | 数据集 | ICDAR2015 |
@@ -202,7 +202,7 @@ Calculated!{"precision": 0.8147966668299853，"recall"：0.8006740491092923，"h
 | 参数 | PSENet |
 | ------------------- | --------------------------- |
 | 模型版本 | Inception V1 |
-| 资源 | Ascend 910 |
+| 资源 | Ascend 910；系统 Euler2.8 |
 | 上传日期 | 2020/09/15 |
 | MindSpore版本 | 1.0-alpha |
 | 数据集| ICDAR2015 |

model_zoo/official/cv/resnet/README.md

@@ -525,7 +525,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | Model Version              | ResNet18                                                |
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |
 | uploaded Date              | 02/25/2021 (month/day/year)                          |
 | MindSpore Version          | 1.1.1-alpha                                                       |
 | Dataset                    | CIFAR-10                                                    |
@@ -545,7 +545,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | Model Version              | ResNet18                                                |
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |
 | uploaded Date              | 02/25/2021 (month/day/year)  ；                        |
 | MindSpore Version          | 1.1.1-alpha                                                       |
 | Dataset                    | ImageNet2012                                                    |
@@ -565,7 +565,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | Model Version              | ResNet50-v1.5                                                |ResNet50-v1.5|
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
 | uploaded Date              | 04/01/2020 (month/day/year)                          | 08/01/2020 (month/day/year)
 | MindSpore Version          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | Dataset                    | CIFAR-10                                                    | CIFAR-10
@@ -585,7 +585,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | Model Version              | ResNet50-v1.5                                                |ResNet50-v1.5|
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |  GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |  GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
 | uploaded Date              | 04/01/2020 (month/day/year)  ；                        | 08/01/2020 (month/day/year)
 | MindSpore Version          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | Dataset                    | ImageNet2012                                                    | ImageNet2012|
@@ -605,7 +605,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | Model Version              | ResNet101                                                |ResNet101|
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |  GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |  GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
 | uploaded Date              | 04/01/2020 (month/day/year)                          | 08/01/2020 (month/day/year)
 | MindSpore Version          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | Dataset                    | ImageNet2012                                                    | ImageNet2012|
@@ -625,7 +625,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters                 | Ascend 910
 | -------------------------- | ------------------------------------------------------------------------ |
 | Model Version              | SE-ResNet50                                               |
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  |
 | uploaded Date              | 08/16/2020 (month/day/year)                         |
 | MindSpore Version          | 0.7.0-alpha                                                 |
 | Dataset                    | ImageNet2012                                                |
@@ -647,7 +647,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | ResNet18               |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 02/25/2021 (month/day/year) |
 | MindSpore Version   | 1.1.1-alpha                 |
 | Dataset             | CIFAR-10                    |
@@ -661,7 +661,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | ResNet18               |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 02/25/2021 (month/day/year) |
 | MindSpore Version   | 1.1.1-alpha                |
 | Dataset             | ImageNet2012                |
@@ -675,7 +675,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | ResNet50-v1.5               | ResNet50-v1.5               |
-| Resource            | Ascend 910                  | GPU                         |
+| Resource            | Ascend 910; OS Euler2.8                   | GPU                         |
 | Uploaded Date       | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 0.1.0-alpha                 | 0.6.0-alpha                 |
 | Dataset             | CIFAR-10                    | CIFAR-10                    |
@@ -689,7 +689,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | ResNet50-v1.5               | ResNet50-v1.5               |
-| Resource            | Ascend 910                  | GPU                         |
+| Resource            | Ascend 910; OS Euler2.8                | GPU                         |
 | Uploaded Date       | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 0.1.0-alpha                 | 0.6.0-alpha                 |
 | Dataset             | ImageNet2012                | ImageNet2012                |
@@ -703,7 +703,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | ResNet101                   | ResNet101                    |
-| Resource            | Ascend 910                  | GPU                         |
+| Resource            | Ascend 910; OS Euler2.8                | GPU                         |
 | Uploaded Date       | 04/01/2020 (month/day/year) | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 0.1.0-alpha                 | 0.6.0-alpha                 |
 | Dataset             | ImageNet2012                | ImageNet2012                |
@@ -717,7 +717,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | SE-ResNet50                 |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8             |
 | Uploaded Date       | 08/16/2020 (month/day/year) |
 | MindSpore Version   | 0.7.0-alpha                 |
 | Dataset             | ImageNet2012                |

model_zoo/official/cv/resnet/README_CN.md

@@ -492,7 +492,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | 模型版本              | ResNet18                                                |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G  |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8  |
 | 上传日期              | 2021-02-25                          |
 | MindSpore版本          | 1.1.1-alpha                                                       |
 | 数据集                    | CIFAR-10                                                    |
@@ -512,7 +512,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | 模型版本              | ResNet18                                               |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G |
+| 资源                   |  Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 |
 | 上传日期              | 2020-04-01  ;                        |
 | MindSpore版本          | 1.1.1-alpha                                                       |
 | 数据集                    | ImageNet2012                                                    |
@@ -532,7 +532,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | 模型版本              | ResNet50-v1.5                                                |ResNet50-v1.5|
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G  | GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
+| 资源                   |Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8  | GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
 | 上传日期              | 2020-04-01                          | 2020-08-01
 | MindSpore版本          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | 数据集                    | CIFAR-10                                                    | CIFAR-10
@@ -552,7 +552,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | 模型版本              | ResNet50-v1.5                                                |ResNet50-v1.5|
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G |  GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 |  GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
 | 上传日期              | 2020-04-01  ;                        | 2020-08-01
 | MindSpore版本          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | 数据集                    | ImageNet2012                                                    | ImageNet2012|
@@ -572,7 +572,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910                                                   |   GPU |
 | -------------------------- | -------------------------------------- |---------------------------------- |
 | 模型版本              | ResNet101                                                |ResNet101|
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G    GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8  |  GPU(Tesla V100 SXM2)；CPU：2.1GHz，24核；内存：128G
 | 上传日期              | 2020-04-01  ;                        | 2020-08-01
 | MindSpore版本          | 0.1.0-alpha                                                       |0.6.0-alpha   |
 | 数据集                    | ImageNet2012                                                    | ImageNet2012|
@@ -592,7 +592,7 @@ top1_accuracy:70.42, top5_accuracy:89.7
 | 参数                 | Ascend 910
 | -------------------------- | ------------------------------------------------------------------------ |
 | 模型版本              | SE-ResNet50                                               |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755G |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8  |
 | 上传日期              | 2020-08-16  ；                        |
 | MindSpore版本          | 0.7.0-alpha                                                 |
 | 数据集                    | ImageNet2012                                                |

model_zoo/official/cv/resnet152/README-CN.md

@@ -179,7 +179,7 @@ result: {'top_5_accuracy': 0.9438420294494239, 'top_1_accuracy': 0.78817221518}
 | 参数 | Ascend 910  |
 |---|---|
 | 模型版本  | ResNet152  |
-| 资源  |  Ascend 910；CPU：2.60GHz，192核；内存：755G |
+| 资源  |   Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 |
 | 上传日期  |2021-02-10 ;  |
 | MindSpore版本  | 1.0.1 |
 | 数据集  |  ImageNet2012 |

model_zoo/official/cv/resnet50_quant/README.md

@@ -178,7 +178,7 @@ result: {'acc': 0.76576314102564111}
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | ResNet50 V1.5                                               |
-| Resource                   | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G               |
+| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8               |
 | uploaded Date              | 06/06/2020 (month/day/year)                                 |
 | MindSpore Version          | 0.3.0-alpha                                                 |
 | Dataset                    | ImageNet                                                    |
@@ -198,7 +198,7 @@ result: {'acc': 0.76576314102564111}
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | ResNet50 V1.5               |
-| Resource            | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G    |
+| Resource            | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8    |
 | Uploaded Date       | 06/06/2020 (month/day/year) |
 | MindSpore Version   | 0.3.0-alpha                 |
 | Dataset             | ImageNet                    |

model_zoo/official/cv/resnet50_quant/README_CN.md

@@ -186,7 +186,7 @@ result:{'acc'：0.76576314102564111}
 | 参数 | Resnet50  |
 | -------------------------- | ---------------------------------------------------------- |
 | 模型版本 | V1  |
-| 资源 | Ascend 910； CPU：2.60GHz，192核；内存：755G |
+| 资源 | Ascend 910； CPU 2.60GHz，192核；内存 755G；系统 Euler2.8 |
 | 上传日期 | 2020-06-06 |
 | MindSpore版本 | 0.3.0 |
 | 数据集 | ImageNet |
@@ -206,7 +206,7 @@ result:{'acc'：0.76576314102564111}
 | 参数列表 | Resnet50 |
 | -------------------------- | ----------------------------- |
 | 模型版本 | V1 |
-| 资源 | Ascend 910 |
+| 资源 |  Ascend 910；系统 Euler2.8  |
 | 上传日期 | 2020-06-06 |
 | MindSpore版本 | 0.3.0 |
 | 数据集 | ImageNet, 1.2W |

model_zoo/official/cv/resnet_thor/README.md

@@ -258,7 +258,7 @@ Inference result will be stored in the example path, whose folder name is "eval"
 | Parameters                 | Ascend 910                                                   |   GPU |
 | -------------------------- | --------------------------------------        |---------------------------------- |
 | Model Version              | ResNet50-v1.5                                 |ResNet50-v1.5|
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8  | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G
 | uploaded Date              | 06/01/2020 (month/day/year)                   |   09/23/2020(month/day/year)
 | MindSpore Version          | 0.3.0-alpha                                   | 1.0.0 |
 | Dataset                    | ImageNet2012                                   | ImageNet2012|
@@ -278,7 +278,7 @@ Inference result will be stored in the example path, whose folder name is "eval"
 | Parameters          | Ascend 910                  | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | ResNet50-v1.5               | ResNet50-v1.5               |
-| Resource            | Ascend 910                  | GPU                         |
+| Resource            | Ascend 910; OS Euler2.8                  | GPU                         |
 | Uploaded Date       | 06/01/2020 (month/day/year) | 09/23/2020(month/day/year)  |
 | MindSpore Version   | 0.3.0-alpha                 | 1.0.0                       |
 | Dataset             | ImageNet2012                | ImageNet2012                |

model_zoo/official/cv/resnet_thor/README_CN.md

@@ -264,7 +264,7 @@ epoch： 36 step: 5004，loss is 1.645802
 | 参数 | Ascend 910 | GPU |
 | -------------------------- | -------------------------------------- | ---------------------------------- |
 | 模型版本 | ResNet50-v1.5 | ResNet50-v1.5 |
-| 资源 | Ascend 910-CPU 2.60GHz 192核-内存755G | GPU(Tesla V100 SXM2)-CPU 2.1GHz 24核-内存128G |
+| 资源 |Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8  | GPU(Tesla V100 SXM2)-CPU 2.1GHz 24核-内存128G |
 | 上传日期 | 2020-06-01 | 2020-09-23 |
 | MindSpore版本 | 0.3.0-alpha | 1.0.0|
 | 数据集 | ImageNet2012 | ImageNet2012 |
@@ -284,7 +284,7 @@ epoch： 36 step: 5004，loss is 1.645802
 | 参数                 | Ascend 910                  | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | 模型版本             | ResNet50-v1.5               | ResNet50-v1.5               |
-| 资源                 | Ascend 910                  | GPU                         |
+| 资源                 | Ascend 910；系统 Euler2.8                   | GPU                         |
 | 上传日期              |  2020-06-01                | 2020-09-23                  |
 | MindSpore版本        | 0.3.0-alpha                 | 1.0.0                       |
 | 数据集               | ImageNet2012                | ImageNet2012                |

model_zoo/official/cv/resnext50/README.md

@@ -222,7 +222,7 @@ python export.py --device_target [PLATFORM] --ckpt_file [CKPT_PATH] --file_forma
 
 | Parameters                 | ResNeXt50                                                |                           |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G               | NV SMX2 V100-32G          |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8              | NV SMX2 V100-32G          |
 | uploaded Date              | 06/30/2020                                                 | 07/23/2020                |
 | MindSpore Version          | 0.5.0                                                      | 0.6.0                     |
 | Dataset                    | ImageNet                                                   | ImageNet                  |
@@ -238,7 +238,7 @@ python export.py --device_target [PLATFORM] --ckpt_file [CKPT_PATH] --file_forma
 
 | Parameters                 |                               |                           |                      |
 | -------------------------- | ----------------------------- | ------------------------- | -------------------- |
-| Resource                   | Ascend 910                    | NV SMX2 V100-32G          | Ascend 310           |
+| Resource                   | Ascend 910; OS Euler2.8                    | NV SMX2 V100-32G          | Ascend 310           |
 | uploaded Date              | 06/30/2020                    | 07/23/2020                | 07/23/2020           |
 | MindSpore Version          | 0.5.0                         | 0.6.0                     | 0.6.0                |
 | Dataset                    | ImageNet, 1.2W                | ImageNet, 1.2W            | ImageNet, 1.2W       |

model_zoo/official/cv/resnext50/README_CN.md

@@ -226,7 +226,7 @@ python export.py --device_target [PLATFORM] --ckpt_file [CKPT_PATH] --file_forma
 
 | 参数 | ResNeXt50 | |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755GB              | NV SMX2 V100-32G          |
+| 资源                   |  Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8              | NV SMX2 V100-32G          |
 | 上传日期              | 2020-6-30                                           | 2020-7-23      |
 | MindSpore版本          | 0.5.0                                                      | 0.6.0                     |
 | 数据集 | ImageNet | ImageNet |
@@ -242,7 +242,7 @@ python export.py --device_target [PLATFORM] --ckpt_file [CKPT_PATH] --file_forma
 
 | 参数                 |                               |                           |                      |
 | -------------------------- | ----------------------------- | ------------------------- | -------------------- |
-| 资源                   | Ascend 910                    | NV SMX2 V100-32G          | Ascend 310           |
+| 资源                   | Ascend 910；系统 Euler2.8                    | NV SMX2 V100-32G          | Ascend 310           |
 | 上传日期              | 2020-6-30                                           | 2020-7-23   | 2020-7-23      |
 | MindSpore版本         | 0.5.0                         | 0.6.0                     | 0.6.0                |
 | 数据集 | ImageNet， 1.2万 | ImageNet， 1.2万 | ImageNet， 1.2万 |

model_zoo/official/cv/retinanet/README_CN.md

@@ -260,7 +260,7 @@ mAP: 0.34747137754625645
 | 参数                        | Ascend                                |
 | -------------------------- | ------------------------------------- |
 | 模型名称                    | Retinanet                             |
-| 运行环境                    | Ascend 910; CPU 2.6GHz,192cores;Memory 755G |
+| 运行环境                    | Ascend 910；CPU 2.6GHz，192cores；Memory 755G；系统 Euler2.8  |
 | 上传时间                    | 10/01/2021                            |
 | MindSpore 版本             | 1.2.0                                 |
 | 数据集                      | 123287 张图片                          |
@@ -278,7 +278,7 @@ mAP: 0.34747137754625645
 | 参数                 | Ascend                      |
 | ------------------- | --------------------------- |
 | 模型名称             | Retinanet                |
-| 运行环境             | Ascend 910; CPU 2.6GHz,192cores;Memory 755G|
+| 运行环境             | Ascend 910；CPU 2.6GHz，192cores；Memory 755G；系统 Euler2.8|
 | 上传时间             | 10/01/2021                  |
 | MindSpore 版本      | 1.2.0                        |
 | 数据集              | 5k 张图片                   |

model_zoo/official/cv/shufflenetv1/README_CN.md

@@ -155,7 +155,7 @@ result:{'Loss': 2.0479587888106323, 'Top_1_Acc': 0.7385817307692307, 'Top_5_Acc'
 | 参数                        | Ascend                                |
 | -------------------------- | ------------------------------------- |
 | 模型名称                    | ShuffleNetV1                           |
-| 运行环境                    | Ascend 910                            |
+| 运行环境                    | Ascend 910；系统 Euler2.8                            |
 | 上传时间                    | 2020-12-3                             |
 | MindSpore 版本             | 1.0.0                                 |
 | 数据集                      | imagenet                              |

model_zoo/official/cv/simple_pose/README.md

@@ -314,7 +314,7 @@ Total boxes: 104125
 | Parameters          | Standalone                  | Distributed                 |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | SimplePoseNet               | SimplePoseNet               |
-| Resource            | Ascend 910                  | 4 Ascend 910 cards          |
+| Resource            | Ascend 910; OS Euler2.8                  | 4 Ascend 910 cards; OS Euler2.8          |
 | Uploaded Date       | 12/18/2020 (month/day/year) | 12/18/2020 (month/day/year) |
 | MindSpore Version   | 1.1.0                       | 1.1.0                       |
 | Dataset             | COCO2017                    | COCO2017                    |

model_zoo/official/cv/squeezenet/README.md

@@ -341,7 +341,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | SqueezeNet                                                  |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8            |
 | uploaded Date              | 11/06/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | CIFAR-10                                                    |
@@ -361,7 +361,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | SqueezeNet                                                  |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8              |
 | uploaded Date              | 11/06/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | ImageNet                                                    |
@@ -381,7 +381,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | SqueezeNet_Residual                                         |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   |  Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 11/06/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | CIFAR-10                                                    |
@@ -401,7 +401,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | SqueezeNet_Residual                                         |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8            |
 | uploaded Date              | 11/06/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | ImageNet                                                    |
@@ -423,7 +423,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | SqueezeNet                  |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 11/06/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | CIFAR-10                    |
@@ -436,7 +436,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | SqueezeNet                  |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                 |
 | Uploaded Date       | 11/06/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | ImageNet                    |
@@ -449,7 +449,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | SqueezeNet_Residual         |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8             |
 | Uploaded Date       | 11/06/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | CIFAR-10                    |
@@ -462,7 +462,7 @@ result: {'top_1_accuracy': 0.6094950384122919, 'top_5_accuracy': 0.8263244238156
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | SqueezeNet_Residual         |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8               |
 | Uploaded Date       | 11/06/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | ImageNet                    |

model_zoo/official/cv/ssd/README.md

@@ -454,7 +454,7 @@ mAP: 0.33880018942412393
 | Parameters          | Ascend                                                                        | GPU                                                                           | Ascend                                                                        |
 | ------------------- | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------- |
 | Model Version       | SSD V1                                                                        | SSD V1                                                                        | SSD-Mobilenet-V1-Fpn                                                          |
-| Resource            | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G                              | NV SMX2 V100-16G                                                              | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G                              |
+| Resource            | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                               | NV SMX2 V100-16G                                                              | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8            |
 | uploaded Date       | 09/15/2020 (month/day/year)                                                   | 09/24/2020 (month/day/year)                                                   | 01/13/2021 (month/day/year)                                                   |
 | MindSpore Version   | 1.0.0                                                                         | 1.0.0                                                                         | 1.1.0                                                                         |
 | Dataset             | COCO2017                                                                      | COCO2017                                                                      | COCO2017                                                                      |
@@ -471,7 +471,7 @@ mAP: 0.33880018942412393
 | Parameters          | Ascend                      | GPU                         | Ascend                      |
 | ------------------- | --------------------------- | --------------------------- | --------------------------- |
 | Model Version       | SSD V1                      | SSD V1                      | SSD-Mobilenet-V1-Fpn        |
-| Resource            | Ascend 910                  | GPU                         | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  | GPU                         |Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 09/15/2020 (month/day/year) | 09/24/2020 (month/day/year) | 09/24/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       | 1.0.0                       | 1.1.0                       |
 | Dataset             | COCO2017                    | COCO2017                    | COCO2017                    |

model_zoo/official/cv/ssd/README_CN.md

@@ -368,7 +368,7 @@ mAP: 0.33880018942412393
 | 参数                  | Ascend                                                     | GPU                       |
 | -------------------------- | -------------------------------------------------------------| -------------------------------------------------------------|
 | 模型版本 | SSD V1 | SSD V1 |
-| 资源 | Ascend 910；CPU： 2.60GHz，192核；内存：755 GB | NV SMX2 V100-16G |
+| 资源 | Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8 | NV SMX2 V100-16G |
 | 上传日期 | 2020-06-01  | 2020-09-24 |
 | MindSpore版本          | 0.3.0-alpha                                                  | 1.0.0                                                        |
 | 数据集                   | COCO2017                                                     | COCO2017                                                     |
@@ -385,7 +385,7 @@ mAP: 0.33880018942412393
 | 参数          | Ascend                      | GPU                         |
 | ------------------- | ----------------------------| ----------------------------|
 | 模型版本       | SSD V1                      | SSD V1                      |
-| 资源           | Ascend 910                  | GPU                         |
+| 资源           | Ascend 910；系统 Euler2.8                   | GPU                         |
 | 上传日期  | 2020-06-01  | 2020-09-24 |
 | MindSpore版本    | 0.3.0-alpha                 | 1.0.0                       |
 | 数据集         | COCO2017                    | COCO2017                    |

model_zoo/official/cv/tinydarknet/README.md

@@ -244,7 +244,7 @@ For more configuration details, please refer the script config.py.
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                |
-| Resource                   | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G               |
+| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8               |
 | Uploaded Date              | 2020/12/22                                 |
 | MindSpore Version          | 1.1.0                                                       |
 | Dataset                    | 1200k images                                                |
@@ -261,7 +261,7 @@ For more configuration details, please refer the script config.py.
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | V1                |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 2020/12/22 |
 | MindSpore Version   | 1.1.0                       |
 | Dataset             | 200k images                |

model_zoo/official/cv/tinydarknet/README_CN.md

@@ -252,7 +252,7 @@ Tiny-DarkNet是Joseph Chet Redmon等人提出的一个16层的针对于经典的
 | 参数                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | 模型版本              | V1                                                |
-| 资源                   | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G               |
+| 资源                   |  Ascend 910；CPU 2.60GHz，56cores；内存 314G；系统 Euler2.8               |
 | 上传日期              | 2020/12/22                                 |
 | MindSpore版本          | 1.1.0                                                       |
 | 数据集                    | 1200k张图片                                                |
@@ -269,7 +269,7 @@ Tiny-DarkNet是Joseph Chet Redmon等人提出的一个16层的针对于经典的
 | 参数          | Ascend                      |
 | ------------------- | --------------------------- |
 | 模型版本       | V1                |
-| 资源            | Ascend 910                  |
+| 资源            |  Ascend 910；系统 Euler2.8                 |
 | 上传日期       | 2020/12/22 |
 | MindSpore版本   | 1.1.0                       |
 | 数据集             | 200k张图片                |

model_zoo/official/cv/unet/README.md

@@ -290,7 +290,7 @@ The above python command will run in the background. You can view the results th
 | Parameters                 | Ascend                                                       |
 | -------------------------- | ------------------------------------------------------------ |
 | Model Version              | Unet                                                         |
-| Resource                   | Ascend 910 ;CPU 2.60GHz,192cores; Memory,755G                 |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                 |
 | uploaded Date              | 09/15/2020 (month/day/year)                                  |
 | MindSpore Version          | 1.0.0                                                        |
 | Dataset                    | ISBI                                                         |

model_zoo/official/cv/unet/README_CN.md

@@ -283,7 +283,7 @@ step: 300, loss is 0.18949677, fps is 57.63118508760329
 | 参数                 | Ascend     |
 | -------------------------- | ------------------------------------------------------------ |
 | 模型版本 | U-Net |
-| 资源 | Ascend 910；CPU：2.60GHz，192核；内存：755 GB |
+| 资源 | Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8  |
 | 上传日期 | 2020-9-15 |
 | MindSpore版本 | 1.0.0 |
 | 数据集             | ISBI                                                         |

model_zoo/official/cv/unet3d/README.md

@@ -228,7 +228,7 @@ eval average dice is 0.9502010010453671
 | Parameters          | Ascend                                                    |
 | ------------------- | --------------------------------------------------------- |
 | Model Version       | Unet3D                                                    |
-| Resource            | Ascend 910; CPU 2.60GHz，192cores；Memory，755G            |
+| Resource            |  Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8            |
 | uploaded Date       | 03/18/2021 (month/day/year)                               |
 | MindSpore Version   | 1.2.0                                                     |
 | Dataset             | LUNA16                                                    |
@@ -245,7 +245,7 @@ eval average dice is 0.9502010010453671
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | Unet3D                      |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 03/18/2021 (month/day/year) |
 | MindSpore Version   | 1.2.0                       |
 | Dataset             | LUNA16                      |

model_zoo/official/cv/vgg16/README.md

@@ -353,7 +353,7 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
 | Parameters                 | VGG16(Ascend)                                  | VGG16(GPU)                                      |
 | -------------------------- | ---------------------------------------------- |------------------------------------|
 | Model Version              | VGG16                                          | VGG16                                           |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G  |NV SMX2 V100-32G                                 |
+| Resource                   |  Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8 |NV SMX2 V100-32G                                 |
 | uploaded Date              | 10/28/2020                                     | 10/28/2020                                       |
 | MindSpore Version          | 1.0.0                                          | 1.0.0                                             |
 | Dataset                    | CIFAR-10                                        |ImageNet2012                                     |
@@ -372,7 +372,7 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
 | Parameters          | VGG16(Ascend)               | VGG16(GPU)
 | ------------------- | --------------------------- |---------------------
 | Model Version       | VGG16                       |    VGG16                       |
-| Resource            | Ascend 910                  |   GPU                          |
+| Resource            | Ascend 910; OS Euler2.8                    |   GPU                          |
 | Uploaded Date       | 10/28/2020                  | 10/28/2020                     |
 | MindSpore Version   | 1.0.0                       | 1.0.0                          |
 | Dataset             | CIFAR-10, 10,000 images     |ImageNet2012, 5000 images       |

model_zoo/official/cv/vgg16/README_CN.md

@@ -361,7 +361,7 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
 | 参数           | VGG16(Ascend)                                  | VGG16(GPU)                                      |
 | -------------------------- | ---------------------------------------------- |------------------------------------|
 | 模型版本                | VGG16                                          | VGG16                                           |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755 GB    |NV SMX2 V100-32G                                 |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8    |NV SMX2 V100-32G                                 |
 | 上传日期              | 2020-08-20                                           | 2020-08-20    |
 | MindSpore版本        | 0.5.0-alpha                                     |0.5.0-alpha                                             |
 | 数据集                | CIFAR-10                                        |ImageNet2012                                     |
@@ -380,7 +380,7 @@ after allreduce eval: top5_correct=45582, tot=50000, acc=91.16%
 | 参数  | VGG16(Ascend)               | VGG16(GPU)
 | ------------------- | --------------------------- |---------------------
 | 模型版本      | VGG16                       |    VGG16                       |
-| 资源        | Ascend 910                  |   GPU                          |
+| 资源        | Ascend 910；系统 Euler2.8           |   GPU                          |
 | 上传日期              | 2020-08-20                    | 2020-08-20                 |
 | MindSpore版本   | 0.5.0-alpha                 |0.5.0-alpha                     |
 | 数据集 | CIFAR-10，10000张图像 | ImageNet2012，5000张图像 |

model_zoo/official/cv/warpctc/README.md

@@ -209,7 +209,7 @@ bash run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH] [PLATFORM]
 | Parameters                 | Ascend 910                                    |   GPU |
 | -------------------------- | --------------------------------------------- |---------------------------------- |
 | Model Version              | v1.0                                          | v1.0 |
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G   | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G /
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8   | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24cores，Memory 128G /
 | uploaded Date              | 07/01/2020 (month/day/year)                   | 08/01/2020 (month/day/year) |
 | MindSpore Version          | 0.5.0-alpha                                   | 0.6.0-alpha |
 | Dataset                    | Captcha                                       | Captcha |
@@ -229,7 +229,7 @@ bash run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH] [PLATFORM]
 | Parameters          | WarpCTC                     |
 | ------------------- | --------------------------- |
 | Model Version       | V1.0                        |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                |
 | Uploaded Date       | 08/01/2020 (month/day/year) |
 | MindSpore Version   | 0.6.0-alpha                 |
 | Dataset             | Captcha                     |

model_zoo/official/cv/warpctc/README_CN.md

@@ -213,7 +213,7 @@ bash run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH] [PLATFORM]
 | 参数                 | Ascend 910                                    |   GPU |
 | -------------------------- | --------------------------------------------- |---------------------------------- |
 | 模型版本              | v1.0                                          | v1.0 |
-| 资源                   | Ascend 910，CPU 2.60GHz 192核，内存：755G   | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24核，内存： 128G
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8   | GPU(Tesla V100 SXM2)，CPU 2.1GHz 24核，内存： 128G
 | 上传日期              | 2020-07-01                   | 2020-08-01 |
 | MindSpore版本          | 0.5.0-alpha                                   | 0.6.0-alpha |
 | 数据集                    | Captcha                                       | Captcha |
@@ -233,7 +233,7 @@ bash run_eval.sh [DATASET_PATH] [CHECKPOINT_PATH] [PLATFORM]
 | 参数          | WarpCTC                     |
 | ------------------- | --------------------------- |
 | 模型版本       | V1.0                        |
-| 资源            | Ascend 910                  |
+| 资源            |Ascend 910；系统 Euler2.8                 |
 | 上传日期       | 2020-08-01 |
 | MindSpore版本   | 0.6.0-alpha                 |
 | 数据集             | Captcha                     |

model_zoo/official/cv/yolov3_darknet53/README.md

@@ -340,7 +340,7 @@ This the standard format from `pycocotools`, you can refer to [cocodataset](http
 | Parameters                 | YOLO                                                        |YOLO                                                         |
 | -------------------------- | ----------------------------------------------------------- |------------------------------------------------------------ |
 | Model Version              | YOLOv3                                                      |YOLOv3                                                       |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             | NV SMX2 V100-16G; CPU 2.10GHz, 96cores; Memory, 251G        |
+| Resource                   |  Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8               | NV SMX2 V100-16G; CPU 2.10GHz, 96cores; Memory, 251G        |
 | uploaded Date              | 09/15/2020 (month/day/year)                                 | 09/02/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.1.1                                                       | 1.1.1                                                       |
 | Dataset                    | COCO2014                                                    | COCO2014                                                    |
@@ -360,7 +360,7 @@ This the standard format from `pycocotools`, you can refer to [cocodataset](http
 | Parameters          | YOLO                        |YOLO                          |
 | ------------------- | --------------------------- |------------------------------|
 | Model Version       | YOLOv3                      | YOLOv3                       |
-| Resource            | Ascend 910                  | NV SMX2 V100-16G             |
+| Resource            |  Ascend 910; OS Euler2.8                  | NV SMX2 V100-16G             |
 | Uploaded Date       | 09/15/2020 (month/day/year) | 08/20/2020 (month/day/year)  |
 | MindSpore Version   | 1.1.1                       | 1.1.1                        |
 | Dataset             | COCO2014, 40,504  images    | COCO2014, 40,504  images     |

model_zoo/official/cv/yolov3_darknet53/README_CN.md

@@ -343,7 +343,7 @@ sh run_eval.sh dataset/coco2014/ checkpoint/0-319_102400.ckpt
 | 参数                 | YOLO                                                        |YOLO                                                         |
 | -------------------------- | ----------------------------------------------------------- |------------------------------------------------------------ |
 | 模型版本              | YOLOv3                                                      |YOLOv3                                                       |
-| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存：755G             | NV SMX2 V100-16G；CPU 2.10GHz，96核；内存：251G        |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8             | NV SMX2 V100-16G；CPU 2.10GHz，96核；内存：251G        |
 | 上传日期              | 2020-06-31                                 | 2020-09-02                                  |
 | MindSpore版本          | 1.1.1                                                 | 1.1.1                                                       |
 | 数据集                    | COCO2014                                                    | COCO2014                                                    |
@@ -363,7 +363,7 @@ sh run_eval.sh dataset/coco2014/ checkpoint/0-319_102400.ckpt
 | 参数          | YOLO                        |YOLO                          |
 | ------------------- | --------------------------- |------------------------------|
 | 模型版本       | YOLOv3                      | YOLOv3                       |
-| 资源            | Ascend 910                  | NV SMX2 V100-16G             |
+| 资源            | Ascend 910；系统 Euler2.8                   | NV SMX2 V100-16G             |
 | 上传日期       |  2020-06-31 | 2020-08-20  |
 | MindSpore版本   | 1.1.1                 | 1.1.1                        |
 | 数据集             | COCO2014，40504张图像    | COCO2014，40504张图像     |

model_zoo/official/cv/yolov3_darknet53_quant/README.md

@@ -266,7 +266,7 @@ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.558
 | Parameters                 | Ascend                                                                                         |
 | -------------------------- | ---------------------------------------------------------------------------------------------- |
 | Model Version              | YOLOv3_Darknet53_Quant V1                                                                      |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G                                                |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                                                 |
 | uploaded Date              | 09/15/2020 (month/day/year)                                                                    |
 | MindSpore Version          | 1.0.0                                                                                          |
 | Dataset                    | COCO2014                                                                                       |
@@ -286,7 +286,7 @@ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.558
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | YOLOv3_Darknet53_Quant V1   |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8              |
 | Uploaded Date       | 09/15/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | COCO2014, 40,504  images    |

model_zoo/official/cv/yolov3_darknet53_quant/README_CN.md

@@ -275,7 +275,7 @@ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.558
 | 参数                 | Ascend                                                                                         |
 | -------------------------- | ---------------------------------------------------------------------------------------------- |
 | 模型版本              | YOLOv3_Darknet53_Quant V1                                                                      |
-| 资源                   | Ascend 910; CPU 2.60GHz，192核; 内存：755G                                                |
+| 资源                   |  Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8                                                  |
 | 上传日期              | 2020-06-31                                                                    |
 | MindSpore版本          | 0.6.0-alpha                                                                                    |
 | 数据集                    | COCO2014                                                                                       |
@@ -295,7 +295,7 @@ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.558
 | 参数          | Ascend                      |
 | ------------------- | --------------------------- |
 | 模型版本       | YOLOv3_Darknet53_Quant V1   |
-| 资源            | Ascend 910                  |
+| 资源            |Ascend 910；系统 Euler2.8                  |
 | 上传日期       | 2020-06-31 |
 | MindSpore版本   | 0.6.0-alpha                 |
 | 数据集             | COCO2014，40,504张图片    |

model_zoo/official/cv/yolov3_resnet18/README.md

@@ -202,7 +202,7 @@ Note the precision and recall values are results of two-classification(person an
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | YOLOv3_Resnet18 V1                                          |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G            |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 09/15/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | COCO2017                                                    |
@@ -220,7 +220,7 @@ Note the precision and recall values are results of two-classification(person an
 | Parameters          | Ascend                                          |
 | ------------------- | ----------------------------------------------- |
 | Model Version       | YOLOv3_Resnet18 V1                              |
-| Resource            | Ascend 910                                      |
+| Resource            | Ascend 910; OS Euler2.8                                       |
 | Uploaded Date       | 09/15/2020 (month/day/year)                     |
 | MindSpore Version   | 1.0.0                                           |
 | Dataset             | COCO2017                                        |

model_zoo/official/cv/yolov3_resnet18/README_CN.md

@@ -203,7 +203,7 @@ YOLOv3整体网络架构如下：
 | 参数                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | 模型版本              | YOLOv3_Resnet18 V1                                          |
-| 资源                   | Ascend 910 ；CPU 2.60GHz，192核；内存：755G             |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8             |
 | 上传日期              | 2020-06-01                                 |
 | MindSpore版本          | 0.2.0-alpha                                                 |
 | 数据集                    | COCO2017                                                    |
@@ -221,7 +221,7 @@ YOLOv3整体网络架构如下：
 | 参数          | Ascend                                          |
 | ------------------- | ----------------------------------------------- |
 | 模型版本       | YOLOv3_Resnet18 V1                              |
-| 资源            | Ascend 910                                      |
+| 资源            | Ascend 910；系统 Euler2.8                                      |
 | 上传日期       | 2020-06-01              |
 | MindSpore版本   | 0.2.0-alpha                                     |
 | 数据集             | COCO2017                                        |

model_zoo/official/cv/yolov4/README.md

@@ -448,7 +448,7 @@ YOLOv4 on 118K images(The annotation and data format must be the same as coco201
 
 | Parameters                 | YOLOv4                                                      |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G; System, Euleros 2.8;|
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8; System, Euleros 2.8;|
 | uploaded Date              | 10/16/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0-alpha                                                 |
 | Dataset                    | 118K images                                                 |
@@ -468,7 +468,7 @@ YOLOv4 on 20K images(The annotation and data format must be the same as coco tes
 
 | Parameters                 | YOLOv4                                                      |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 10/16/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0-alpha                                                 |
 | Dataset                    | 20K images                                                  |

model_zoo/official/gnn/bgcf/README.md

@@ -253,7 +253,7 @@ Parameters for both training and evaluation can be set in config.py.
 | Parameter                      | BGCF Ascend                                | BGCF GPU                                   |
 | ------------------------------ | ------------------------------------------ | ------------------------------------------ |
 | Model Version                  | Inception V1                               | Inception V1                               |
-| Resource                       | Ascend 910                                 | Tesla V100-PCIE                            |
+| Resource                       | Ascend 910; OS Euler2.8                                  | Tesla V100-PCIE                            |
 | uploaded Date                  | 09/23/2020(month/day/year)                 | 01/27/2021(month/day/year)                 |
 | MindSpore Version              | 1.0.0                                      | 1.1.0                                      |
 | Dataset                        | Amazon-Beauty                              | Amazon-Beauty                              |
@@ -268,7 +268,7 @@ Parameters for both training and evaluation can be set in config.py.
 | Parameter                      | BGCF Ascend                  | BGCF GPU                     |
 | ------------------------------ | ---------------------------- | ---------------------------- |
 | Model Version                  | Inception V1                 | Inception V1                 |
-| Resource                       | Ascend 910                   | Tesla V100-PCIE              |
+| Resource                       | Ascend 910; OS Euler2.8                 | Tesla V100-PCIE              |
 | uploaded Date                  | 09/23/2020(month/day/year)   | 01/28/2021(month/day/year)   |
 | MindSpore Version              | 1.0.0                        | Master(4b3e53b4)             |
 | Dataset                        | Amazon-Beauty                | Amazon-Beauty                |

model_zoo/official/gnn/bgcf/README_CN.md

@@ -273,11 +273,11 @@ BGCF包含两个主要模块。首先是抽样，它生成基于节点复制的
 
 ## 模型描述
 
-### 性能
+### 训练性能
 
 | 参数                       | BGCF Ascend                                | BGCF GPU                                   |
 | -------------------------- | ------------------------------------------ | ------------------------------------------ |
-| 资源                       | Ascend 910                                 | Tesla V100-PCIE                            |
+| 资源                       | Ascend 910；系统 Euler2.8                                | Tesla V100-PCIE                            |
 | 上传日期                   | 09/23/2020(月/日/年)                       | 01/28/2021(月/日/年)                       |
 | MindSpore版本              | 1.0.0                                      | Master(4b3e53b4)                           |
 | 数据集                     | Amazon-Beauty                              | Amazon-Beauty                              |
@@ -289,6 +289,20 @@ BGCF包含两个主要模块。首先是抽样，它生成基于节点复制的
 | 训练成本                   | 25min                                      | 60min                                      |
 | 脚本                       | [bgcf脚本](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/gnn/bgcf) | [bgcf脚本](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/gnn/bgcf) |
 
+### 推理性能
+
+| Parameter                      | BGCF Ascend                  | BGCF GPU                     |
+| ------------------------------ | ---------------------------- | ---------------------------- |
+| 模型版本               | Inception V1                 | Inception V1                 |
+| 资源                       | Ascend 910；系统 Euler2.8      | Tesla V100-PCIE              |
+| 上传日期                  | 09/23/2020(月/日/年)   | 01/28/2021(月/日/年)   |
+| MindSpore版本              | 1.0.0                        | Master(4b3e53b4)             |
+| 数据集                        | Amazon-Beauty                | Amazon-Beauty                |
+| Batch_size                     | 5000                         | 5000                         |
+| 输出                         | 概率                  | 概率                  |
+| Recall@20                      | 0.1534                       | 0.15524                      |
+| NDCG@20                        | 0.0912                       | 0.09249                      |
+
 ## 随机情况说明
 
 BGCF模型中有很多的dropout操作，如果想关闭dropout，可以在src/config.py中将neighbor_dropout设置为[0.0, 0.0, 0.0] 。

model_zoo/official/gnn/gat/README.md

@@ -183,7 +183,7 @@ Parameters for both training and evaluation can be set in config.py.
 
 | Parameter                            | GAT                                       |
 | ------------------------------------ | ----------------------------------------- |
-| Resource                             | Ascend 910                                |
+| Resource                             | Ascend 910; OS Euler2.8                                 |
 | uploaded Date                        | 06/16/2020(month/day/year)                |
 | MindSpore Version                    | 1.0.0                              |
 | Dataset                              | Cora/Citeseer                             |

model_zoo/official/gnn/gat/README_CN.md

@@ -181,7 +181,7 @@
 
 | 参数                            | GAT                                       |
 | ------------------------------------ | ----------------------------------------- |
-| 资源                             | Ascend 910                                |
+| 资源                             | Ascend 910；系统 Euler2.8                               |
 | 上传日期                        | 2020-06-16                |
 | MindSpore版本                    | 0.5.0-beta                                |
 | 数据集                              | Cora/Citeseer                             |

model_zoo/official/gnn/gcn/README.md

@@ -159,7 +159,7 @@ Test set results: cost= 1.00983 accuracy= 0.81300 time= 0.39083
 
 | Parameters                 | GCN                                                            |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                    |
 | uploaded Date              | 06/09/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.0.0                                                   |
 | Dataset                    | Cora/Citeseer                                                  |

model_zoo/official/gnn/gcn/README_CN.md

@@ -167,7 +167,7 @@ Test set results: cost= 1.00983 accuracy= 0.81300 time= 0.39083
 
 | 参数                 | GCN                                                            |
 | -------------------------- | -------------------------------------------------------------- |
-| 资源                   | Ascend 910                                                     |
+| 资源                   | Ascend 910；系统 Euler2.8                                                     |
 | 上传日期              | 2020-06-09                                    |
 | MindSpore版本          | 0.5.0-beta                                                     |
 | 数据集                    | Cora/Citeseer                                                  |

model_zoo/official/nlp/bert/README.md

@@ -596,7 +596,7 @@ The result will be as follows:
 | Parameters                 | Ascend                                                     | GPU                       |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | Model Version              | BERT_base                                                  | BERT_base                 |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G              | NV SMX2 V100-16G, cpu: Intel(R) Xeon(R) Platinum 8160 CPU @2.10GHz, memory: 256G         |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8             | NV SMX2 V100-16G, cpu: Intel(R) Xeon(R) Platinum 8160 CPU @2.10GHz, memory: 256G         |
 | uploaded Date              | 08/22/2020                                                 | 05/06/2020                |
 | MindSpore Version          | 1.0.0                                                      | 1.0.0                     |
 | Dataset                    | cn-wiki-128(4000w)                                         | cn-wiki-128(4000w)        |
@@ -616,7 +616,7 @@ The result will be as follows:
 | Parameters                 | Ascend                                                     |
 | -------------------------- | ---------------------------------------------------------- |
 | Model Version              | BERT_NEZHA                                                 |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G              |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8              |
 | uploaded Date              | 08/20/2020                                                 |
 | MindSpore Version          | 1.0.0                                                      |
 | Dataset                    | cn-wiki-128(4000w)                                         |
@@ -638,7 +638,7 @@ The result will be as follows:
 | Parameters                 | Ascend                        |
 | -------------------------- | ----------------------------- |
 | Model Version              |                               |
-| Resource                   | Ascend 910                    |
+| Resource                   | Ascend 910; OS Euler2.8                     |
 | uploaded Date              | 08/22/2020                    |
 | MindSpore Version          | 1.0.0                         |
 | Dataset                    | cola, 1.2W                    |

model_zoo/official/nlp/bert/README_CN.md

@@ -559,7 +559,7 @@ bash scripts/squad.sh
 | 参数                  | Ascend                                                     | GPU                       |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | 模型版本              | BERT_base                                                      | BERT_base                  |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755GB              || NV SMX2 V100-32G          |
+| 资源                   |Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8              || NV SMX2 V100-32G          |
 | 上传日期              | 2020-08-22                                           | 2020-05-06      |
 | MindSpore版本          | 0.6.0                                                      | 0.3.0                     |
 | 数据集                    | cn-wiki-128(4000w)                                                | ImageNet               |
@@ -578,7 +578,7 @@ bash scripts/squad.sh
 | 参数                  | Ascend                                                     | GPU                       |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | 模型版本              | BERT_NEZHA                                                      | BERT_NEZHA                  |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755GB              || NV SMX2 V100-32G          |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8               || NV SMX2 V100-32G          |
 | 上传日期              | 2020-08-20                                           | 2020-05-06      |
 | MindSpore版本          | 0.6.0                                                      | 0.3.0                     |
 | 数据集                    | cn-wiki-128(4000w)                                                | ImageNet               |
@@ -599,7 +599,7 @@ bash scripts/squad.sh
 | 参数                 | Ascend                        | GPU                       |
 | -------------------------- | ----------------------------- | ------------------------- |
 | 模型版本              |                               |                           |
-| 资源                   | Ascend 910                    | NV SMX2 V100-32G          |
+| 资源                   | Ascend 910；系统 Euler2.8                    | NV SMX2 V100-32G          |
 | 上传日期              | 2020-08-22                    | 2020-05-22                |
 | MindSpore版本         | 0.6.0                         | 0.2.0                     |
 | 数据集 | cola，1.2W | ImageNet, 1.2W |

model_zoo/official/nlp/bert_thor/README.md

@@ -204,7 +204,7 @@ step:  3000 Accuracy:  [0.71377236]
 | Parameters                 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | Model Version              | BERT-LARGE                                              |
-| Resource                   | Ascend 910，CPU 2.60GHz 192cores，Memory 755G  |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8 |
 | uploaded Date              | 08/20/2020 (month/day/year)                         |
 | MindSpore Version          | 0.6.0-alpha                                                       |
 | Dataset                    | MLPerf v0.7 dataset                                                   |

model_zoo/official/nlp/bert_thor/README_CN.md

@@ -211,7 +211,7 @@ step:  3000 Accuracy:  [0.71377236]
 | 参数 | Ascend 910                                                   |
 | -------------------------- | -------------------------------------- |
 | 模型版本              | BERT-LARGE       |
-| 资源 | Ascend 910 ;CPU 2.60GHz,192cores；内存，755G |
+| 资源 |  Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8 |
 | 上传日期 | 2020-08-20 |
 | MindSpore版本          | 0.6.0-beta                                                     |
 | 数据集 | MLPerf v0.7 |

model_zoo/official/nlp/fasttext/README.md

@@ -164,7 +164,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                     |
 | uploaded Date              | 12/21/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.1.0                                                          |
 | Dataset                    | AG's News Topic Classification Dataset                                |
@@ -181,7 +181,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   |Ascend 910; OS Euler2.8                                                      |
 | uploaded Date              | 11/21/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.1.0                                                          |
 | Dataset                    | DBPedia Ontology Classification Dataset                                |
@@ -198,7 +198,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                     |
 | uploaded Date              | 11/21/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.1.0                                                          |
 | Dataset                    | Yelp Review Polarity Dataset                                |
@@ -217,7 +217,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 12/21/2020 (month/day/year) |
 | MindSpore Version   | 1.1.0                       |
 | Dataset             | AG's News Topic Classification Dataset            |
@@ -229,7 +229,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 12/21/2020 (month/day/year) |
 | MindSpore Version   | 1.1.0                       |
 | Dataset             | DBPedia Ontology Classification Dataset            |
@@ -241,7 +241,7 @@ Parameters for both training and evaluation can be set in config.py. All the dat
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            |Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 12/21/2020 (month/day/year) |
 | MindSpore Version   | 1.1.0                       |
 | Dataset             | Yelp Review Polarity Dataset            |

model_zoo/official/nlp/gnmt_v2/README.md

@@ -241,7 +241,7 @@ The `VOCAB_ADDR` is the vocabulary address, `BPE_CODE_ADDR` is the bpe code addr
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                      |
 | uploaded Date              | 11/06/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.0.0                                                          |
 | Dataset                    | WMT English-German for training                                |
@@ -260,7 +260,7 @@ The `VOCAB_ADDR` is the vocabulary address, `BPE_CODE_ADDR` is the bpe code addr
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 11/06/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | WMT newstest2014            |

model_zoo/official/nlp/gru/README.md

@@ -227,7 +227,7 @@ Note: The `DATASET_PATH` is path to mindrecord. eg. train: /dataset_path/multi30
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                     |
 | uploaded Date              | 01/18/2021 (month/day/year)                                    |
 | MindSpore Version          | 1.1.0                                                          |
 | Dataset                    | Multi30k Dataset                                |
@@ -246,7 +246,7 @@ Note: The `DATASET_PATH` is path to mindrecord. eg. train: /dataset_path/multi30
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 01/18/2020 (month/day/year) |
 | MindSpore Version   | 1.1.0                       |
 | Dataset             | Multi30K                    |

model_zoo/official/nlp/lstm/README.md

@@ -285,7 +285,7 @@ Ascend:
 
 | Parameters                 | LSTM (Ascend)                 | LSTM (GPU)                                                     | LSTM (CPU)                 |
 | -------------------------- | -------------------------- | -------------------------------------------------------------- | -------------------------- |
-| Resource                   | Ascend 910                 | Tesla V100-SMX2-16GB                                           | Ubuntu X86-i7-8565U-16GB   |
+| Resource                   | Ascend 910; OS Euler2.8                  | Tesla V100-SMX2-16GB                                           | Ubuntu X86-i7-8565U-16GB   |
 | uploaded Date              | 12/21/2020 (month/day/year)| 10/28/2020 (month/day/year)                                    | 10/28/2020 (month/day/year)|
 | MindSpore Version          | 1.1.0                      | 1.0.0                                                          | 1.0.0                      |
 | Dataset                    | aclimdb_v1                 | aclimdb_v1                                                     | aclimdb_v1                 |
@@ -302,7 +302,7 @@ Ascend:
 
 | Parameters          | LSTM (Ascend)                | LSTM (GPU)                  | LSTM (CPU)                   |
 | ------------------- | ---------------------------- | --------------------------- | ---------------------------- |
-| Resource            | Ascend 910                   | Tesla V100-SMX2-16GB        | Ubuntu X86-i7-8565U-16GB     |
+| Resource            | Ascend 910; OS Euler2.8                    | Tesla V100-SMX2-16GB        | Ubuntu X86-i7-8565U-16GB     |
 | uploaded Date       | 12/21/2020 (month/day/year)  | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year)  |
 | MindSpore Version   | 1.1.0                        | 1.0.0                       | 1.0.0                        |
 | Dataset             | aclimdb_v1                   | aclimdb_v1                  | aclimdb_v1                   |

model_zoo/official/nlp/lstm/README_CN.md

@@ -307,7 +307,7 @@ Ascend:
 
 | 参数                | LSTM (Ascend)                | LSTM (GPU)                  | LSTM (CPU)                   |
 | ------------------- | ---------------------------- | --------------------------- | ---------------------------- |
-| 资源                | Ascend 910                   | Tesla V100-SMX2-16GB        | Ubuntu X86-i7-8565U-16GB     |
+| 资源                | Ascend 910；系统 Euler2.8                    | Tesla V100-SMX2-16GB        | Ubuntu X86-i7-8565U-16GB     |
 | 上传日期            | 2020-12-21                   | 2020-08-06                  | 2020-08-06                   |
 | MindSpore版本       | 1.1.0                        | 0.6.0-beta                  | 0.6.0-beta                   |
 | 数据集              | aclimdb_v1                   | aclimdb_v1                  | aclimdb_v1                   |

model_zoo/official/nlp/mass/README.md

@@ -613,7 +613,7 @@ The comparisons between MASS and other baseline methods in terms of PPL on Corne
 | Parameters                 | Masked Sequence to Sequence Pre-training for Language Generation          |
 |:---------------------------|:--------------------------------------------------------------------------|
 | Model Version              | v1                                                                        |
-| Resource                   | Ascend 910, cpu 2.60GHz, 192cores；memory, 755G                            |
+| Resource                   | Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8                            |
 | uploaded Date              | 05/24/2020                                                                |
 | MindSpore Version          | 1.0.0                                                                     |
 | Dataset                    | News Crawl 2007-2017 English monolingual corpus, Gigaword corpus, Cornell Movie Dialog corpus |
@@ -632,7 +632,7 @@ The comparisons between MASS and other baseline methods in terms of PPL on Corne
 | Parameters                 | Masked Sequence to Sequence Pre-training for Language Generation |
 |:---------------------------|:-----------------------------------------------------------|
 | Model Version              | V1                                                         |
-| Resource                   | Huawei 910                                                 |
+| Resource                   | Ascend 910; OS Euler2.8                                                 |
 | uploaded Date              | 05/24/2020                                                 |
 | MindSpore Version          | 1.0.0                                                      |
 | Dataset                    | Gigaword corpus, Cornell Movie Dialog corpus               |

model_zoo/official/nlp/mass/README_CN.md

@@ -612,7 +612,7 @@ sh run_gpu.sh -t i -n 1 -i 1 -c config/config.json -o {outputfile}
 | 参数 | 掩式序列到序列预训练语言生成 |
 |:---------------------------|:--------------------------------------------------------------------------|
 | 模型版本              | v1                                                                        |
-| 资源                   | Ascend 910；CPU：2.60GHz，192核；内存：755GB              |
+| 资源                   | Ascend 910；CPU 2.60GHz，192核；内存 755GB；系统 Euler2.8              |
 | 上传日期              | 2020-05-24                                                 |
 | MindSpore版本          | 0.2.0                                                                     |
 | 数据集 | News Crawl 2007-2017英语单语语料库、Gigaword语料库、Cornell电影对白语料库 |
@@ -631,7 +631,7 @@ sh run_gpu.sh -t i -n 1 -i 1 -c config/config.json -o {outputfile}
 | 参数 | 掩式序列到序列预训练语言生成 |
 |:---------------------------|:-----------------------------------------------------------|
 |模型版本| V1 |
-| 资源                  | Ascend 910                                                     |
+| 资源                  | Ascend 910；系统 Euler2.8                                                     |
 | 上传日期 | 2020-05-24 |
 | MindSpore版本 | 0.2.0 |
 | 数据集 | Gigaword语料库、Cornell电影对白语料库 |

model_zoo/official/nlp/prophetnet/README.md

@@ -508,7 +508,7 @@ The comparisons between MASS and other baseline methods in terms of PPL on Corne
 | Parameters                 | Masked Sequence to Sequence Pre-training for Language Generation          |
 |:---------------------------|:--------------------------------------------------------------------------|
 | Model Version              | v1                                                                        |
-| Resource                   | Ascend 910, cpu 2.60GHz, 56cores；memory, 314G                            |
+| Resource                   |  Ascend 910; cpu 2.60GHz, 56cores; memory 314G; OS Euler2.8                           |
 | uploaded Date              | 05/24/2020                                                                |
 | MindSpore Version          | 0.2.0                                                                     |
 | Dataset                    | News Crawl 2007-2017 English monolingual corpus, Gigaword corpus, Cornell Movie Dialog corpus |

model_zoo/official/nlp/textcnn/README.md

@@ -161,7 +161,7 @@ For more configuration details, please refer the script `config.py`.
 | Parameters          | Ascend                                                |
 | ------------------- | ----------------------------------------------------- |
 | Model Version       | TextCNN                                               |
-| Resource            | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G      |
+| Resource            |Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8    |
 | uploaded Date       | 11/10/2020 (month/day/year)                           |
 | MindSpore Version   | 1.0.1                                                 |
 | Dataset             | Movie Review Data                                     |

model_zoo/official/nlp/tinybert/README.md

@@ -418,7 +418,7 @@ The best acc is 0.891176
 | Parameters                 | Ascend                                                     | GPU                       |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | Model Version              | TinyBERT                                                   | TinyBERT                           |
-| Resource                   | Ascend 910, cpu:2.60GHz 192cores, memory:755G               | NV SMX2 V100-32G, cpu:2.10GHz 64cores,  memory:251G         |
+| Resource                   |Ascend 910; cpu 2.60GHz, 192cores; memory 755G; OS Euler2.8           | NV SMX2 V100-32G, cpu:2.10GHz 64cores,  memory:251G         |
 | uploaded Date              | 08/20/2020                                                 | 08/24/2020                |
 | MindSpore Version          | 1.0.0                                                      | 1.0.0                     |
 | Dataset                    | en-wiki-128                                                | en-wiki-128               |
@@ -438,7 +438,7 @@ The best acc is 0.891176
 | Parameters                 | Ascend                        | GPU                       |
 | -------------------------- | ----------------------------- | ------------------------- |
 | Model Version              |                               |                           |
-| Resource                   | Ascend 910                    | NV SMX2 V100-32G          |
+| Resource                   | Ascend 910; OS Euler2.8                      | NV SMX2 V100-32G          |
 | uploaded Date              | 08/20/2020                    | 08/24/2020                |
 | MindSpore Version          | 1.0.0                         | 1.0.0                     |
 | Dataset                    | SST-2,                        | SST-2                     |

model_zoo/official/nlp/tinybert/README_CN.md

@@ -419,7 +419,7 @@ The best acc is 0.891176
 | 参数                  | Ascend                                                     | GPU                       |
 | -------------------------- | ---------------------------------------------------------- | ------------------------- |
 | 模型版本              | TinyBERT                                                   | TinyBERT                           |
-| 资源                   | Ascend 910, cpu:2.60GHz 192核, 内存:755G               | NV SMX2 V100-32G, cpu:2.10GHz 64核,  内存:251G         |
+| 资源                   | Ascend 910；cpu 2.60GHz，192核；内存 755G；系统 Euler2.8               | NV SMX2 V100-32G, cpu:2.10GHz 64核,  内存:251G         |
 | 上传日期              | 2020-08-20                                           | 2020-08-24      |
 | MindSpore版本          | 0.6.0                                                      | 0.7.0                     |
 | 数据集                    | en-wiki-128                                                | en-wiki-128               |
@@ -438,7 +438,7 @@ The best acc is 0.891176
 | 参数                 | Ascend                        | GPU                       |
 | -------------------------- | ----------------------------- | ------------------------- |
 | 模型版本              |                               |                           |
-| 资源                   | Ascend 910                    | NV SMX2 V100-32G          |
+| 资源                   | Ascend 910；系统 Euler2.8                    | NV SMX2 V100-32G          |
 | 上传日期              | 2020-08-20                    | 2020-08-24                |
 | MindSpore版本         | 0.6.0                         | 0.7.0                     |
 | 数据集                    | SST-2,                        | SST-2                     |

model_zoo/official/nlp/transformer/README.md

@@ -240,7 +240,7 @@ Parameters for learning rate:
 
 | Parameters                 | Ascend                                                         |
 | -------------------------- | -------------------------------------------------------------- |
-| Resource                   | Ascend 910                                                     |
+| Resource                   | Ascend 910; OS Euler2.8                                                 |
 | uploaded Date              | 09/15/2020 (month/day/year)                                    |
 | MindSpore Version          | 1.0.0                                                          |
 | Dataset                    | WMT Englis-German                                              |
@@ -258,7 +258,7 @@ Parameters for learning rate:
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                |
 | Uploaded Date       | 09/15/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | WMT newstest2014            |

model_zoo/official/nlp/transformer/README_CN.md

@@ -247,7 +247,7 @@ Parameters for learning rate:
 
 | 参数                | Ascend                                                    |
 | -------------------------- | -------------------------------------------------------------- |
-| 资源                  | Ascend 910                                                     |
+| 资源                  | Ascend 910；系统 Euler2.8                                                   |
 | 上传日期              | 2020-06-09                                    |
 | MindSpore版本          | 0.5.0-beta                                                     |
 | 数据集                    | WMT英-德翻译数据集                                              |
@@ -265,7 +265,7 @@ Parameters for learning rate:
 
 | 参数          | Ascend                   |
 | ------------------- | --------------------------- |
-|资源| Ascend 910 |
+|资源| Ascend 910；系统 Euler2.8  |
 | 上传日期       | 2020-06-09 |
 | MindSpore版本   | 0.5.0-beta                  |
 | 数据集             | WMT newstest2014            |

model_zoo/official/recommend/deepfm/README.md

@@ -265,7 +265,7 @@ Parameters for both training and evaluation can be set in config.py
 | Parameters                 | Ascend                                                      | GPU                    |
 | -------------------------- | ----------------------------------------------------------- | ---------------------- |
 | Model Version              | DeepFM                                                      | To do                  |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G              | To do                  |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                | To do                  |
 | uploaded Date              | 09/15/2020 (month/day/year)                                 | To do                  |
 | MindSpore Version          | 1.0.0                                                 | To do                  |
 | Dataset                    | [1]                                                         | To do                  |
@@ -285,7 +285,7 @@ Parameters for both training and evaluation can be set in config.py
 | Parameters          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | Model Version       | DeepFM                      | To do                       |
-| Resource            | Ascend 910                  | To do                       |
+| Resource            | Ascend 910; OS Euler2.8                    | To do                       |
 | Uploaded Date       | 05/27/2020 (month/day/year) | To do                       |
 | MindSpore Version   | 0.3.0-alpha                 | To do                       |
 | Dataset             | [1]                         | To do                       |

model_zoo/official/recommend/deepfm/README_CN.md

@@ -248,7 +248,7 @@ FM和深度学习部分拥有相同的输入原样特征向量，让DeepFM能从
 | 参数                    | Ascend                                                      | GPU                    |
 | -------------------------- | ----------------------------------------------------------- | ---------------------- |
 | 模型版本              | DeepFM                                                      | 待运行                  |
-| 资源                   | Ascend 910;CPU 2.60GHz,192核；内存：755G              | 待运行                  |
+| 资源                   |Ascend 910；CPU 2.60GHz，192核；内存 755G；系统 Euler2.8             | 待运行                  |
 | 上传日期              | 2020-05-17                                 | 待运行                 |
 | MindSpore版本          | 0.3.0-alpha                                                 | 待运行                  |
 | 数据集                    | [1]                                                         | 待运行                 |
@@ -268,7 +268,7 @@ FM和深度学习部分拥有相同的输入原样特征向量，让DeepFM能从
 | 参数          | Ascend                      | GPU                         |
 | ------------------- | --------------------------- | --------------------------- |
 | 模型版本       | DeepFM                      | 待运行                       |
-| 资源            | Ascend 910                  | 待运行                       |
+| 资源            | Ascend 910；系统 Euler2.8                  | 待运行                       |
 | 上传日期       | 2020-05-27 | 待运行                       |
 | MindSpore版本   | 0.3.0-alpha                 | 待运行                       |
 | 数据集             | [1]                         | 待运行                       |

model_zoo/official/recommend/naml/README.md

@@ -109,7 +109,7 @@ python export.py --platform [PLATFORM] --checkpoint_path [CHECKPOINT_PATH] --fil
 | Parameters                 | Ascend                                                       |
 | -------------------------- | ------------------------------------------------------------ |
 | Model Version              | NAML                                                         |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G               |
+| Resource                   |Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8            |
 | uploaded Date              | 02/23/2021 (month/day/year)                                  |
 | MindSpore Version          | 1.2.0                                                        |
 | Dataset                    | MINDlarge                                                    |
@@ -125,7 +125,7 @@ python export.py --platform [PLATFORM] --checkpoint_path [CHECKPOINT_PATH] --fil
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
 | Model Version       | NAML                        |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                   |
 | Uploaded Date       | 02/23/2021 (month/day/year) |
 | MindSpore Version   | 1.2.0                       |  
 | Dataset             | MINDlarge                   |

model_zoo/official/recommend/ncf/README.md

@@ -196,7 +196,7 @@ Parameters for both training and evaluation can be set in config.py.
 | Parameters                 | Ascend                                                       |
 | -------------------------- | ------------------------------------------------------------ |
 | Model Version              | NCF                                                 |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G               |
+| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8             |
 | uploaded Date              | 10/23/2020 (month/day/year)                                  |
 | MindSpore Version          | 1.0.0                                                |
 | Dataset                    | ml-1m                                                        |
@@ -212,7 +212,7 @@ Parameters for both training and evaluation can be set in config.py.
 | Parameters          | Ascend              |
 | ------------------- | --------------------------- |
 | Model Version       | NCF               |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 10/23/2020 (month/day/year)  |
 | MindSpore Version   | 1.0.0                |  
 | Dataset             | ml-1m                       |

model_zoo/official/recommend/wide_and_deep/README.md

@@ -316,7 +316,7 @@ python eval.py
 
 | Parameters               | Single <br />Ascend             | Single<br />GPU                 | Data-Parallel-8P                | Host-Device-mode-8P             |
 | ------------------------ | ------------------------------- | ------------------------------- | ------------------------------- | ------------------------------- |
-| Resource                 | Ascend 910                      | Tesla V100-PCIE 32G             | Ascend 910                      | Ascend 910                      |
+| Resource                 | Ascend 910; OS Euler2.8                      | Tesla V100-PCIE 32G             | Ascend 910; OS Euler2.8                     | Ascend 910; OS Euler2.8                      |
 | Uploaded Date            | 08/21/2020 (month/day/year)     | 08/21/2020 (month/day/year)     | 08/21/2020 (month/day/year)     | 08/21/2020 (month/day/year)     |
 | MindSpore Version        | 1.0                             | 1.0                             | 1.0                             | 1.0                             |
 | Dataset                  | [1]                             | [1]                             | [1]                             | [1]                             |
@@ -337,7 +337,7 @@ Note: The result of GPU is tested under the master version. The parameter server
 
 | Parameters        | Wide&Deep                   |
 | ----------------- | --------------------------- |
-| Resource          | Ascend 910                  |
+| Resource          | Ascend 910; OS Euler2.8                 |
 | Uploaded Date     | 10/27/2020 (month/day/year) |
 | MindSpore Version | 1.0                 |
 | Dataset           | [1]                         |

model_zoo/official/recommend/wide_and_deep/README_CN.md

@@ -318,7 +318,7 @@ python eval.py
 
 | 参数               |  Ascend单机             | GPU单机                 | 数据并行模式-8卡                | 主机设备模式-8卡             |
 | ------------------------ | ------------------------------- | ------------------------------- | ------------------------------- | ------------------------------- |
-| 资源                 | Ascend 910                      | Tesla V100-PCIE 32G             | Ascend 910                      | Ascend 910                      |
+| 资源                 |Ascend 910；系统 Euler2.8                | Tesla V100-PCIE 32G             | Ascend 910；系统 Euler2.8                      | Ascend 910；系统 Euler2.8                      |
 | 上传日期            | 2020-08-21     |  2020-08-21    | 2020-08-21   | 2020-08-21     |
 | MindSpore版本        | 0.6.0-beta                      | master                          | 0.6.0-beta                      | 0.6.0-beta                      |
 | 数据集                  | [1]                             | [1]                             | [1]                             | [1]                             |
@@ -339,7 +339,7 @@ python eval.py
 
 | 参数        | Wide&Deep                   |
 | ----------------- | --------------------------- |
-| 资源          | Ascend 910                  |
+| 资源          | Ascend 910；系统 Euler2.8                 |
 | 上传日期     | 2020-08-21 |
 | MindSpore版本 | 0.6.0-beta                  |
 | 数据集           | [1]                         |

model_zoo/official/recommend/wide_and_deep_multitable/README.md

@@ -167,7 +167,7 @@ python eval.py
 
 | Parameters               | Single <br />Ascend             | Data-Parallel-8P                |
 | ------------------------ | ------------------------------- | ------------------------------- |
-| Resource                 | Ascend 910                      | Ascend 910                      |
+| Resource                 | Ascend 910; OS Euler2.8                        | Ascend 910                      |
 | Uploaded Date            | 08/21/2020 (month/day/year)     | 08/21/2020 (month/day/year)     |
 | MindSpore Version        | 1.0                             | 1.0                             |
 | Dataset                  | [1]                             | [1]                             |
@@ -187,7 +187,7 @@ All executable scripts can be found in [here](https://gitee.com/mindspore/mindsp
 
 | Parameters        | Wide&Deep                   |
 | ----------------- | --------------------------- |
-| Resource          | Ascend 910                  |
+| Resource          | Ascend 910; OS Euler2.8                    |
 | Uploaded Date     | 10/27/2020 (month/day/year) |
 | MindSpore Version | 1.0                  |
 | Dataset           | [1]                         |

model_zoo/official/rl/dqn/README.md

@@ -109,7 +109,7 @@ pip install gym
 
 | Parameters                 | DQN                                                         |
 | -------------------------- | ----------------------------------------------------------- |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G              |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 03/10/2021 (month/day/year)                                 |
 | MindSpore Version          | 1.1.0                                                       |
 | Training Parameters        | batch_size = 512, lr=0.001                                  |

model_zoo/research/audio/fcn-4/README.md

@@ -181,7 +181,7 @@ Parameters for both training and evaluation can be set in config.py
 | Parameters                 | Ascend                                                      |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | FCN-4                                                       |
-| Resource                   | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 56cores; Memory 314G; OS Euler2.8            |
 | uploaded Date              | 09/11/2020 (month/day/year)                                 |
 | MindSpore Version          | r0.7.0                                                |
 | Training Parameters        | epoch=10, steps=534, batch_size = 32, lr=0.005              |

model_zoo/research/cv/FaceAttribute/README.md

@@ -238,7 +238,7 @@ sh run_export.sh [BATCH_SIZE] [USE_DEVICE_ID] [PRETRAINED_BACKBONE]
 | Parameters                 | Face Attribute                                              |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                          |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8             |
 | uploaded Date              | 09/30/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | 91K images                                                  |
@@ -255,7 +255,7 @@ sh run_export.sh [BATCH_SIZE] [USE_DEVICE_ID] [PRETRAINED_BACKBONE]
 | Parameters          | Face Attribute              |
 | ------------------- | --------------------------- |
 | Model Version       | V1                          |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 09/30/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | 11K images                  |

model_zoo/research/cv/FaceDetection/README.md

@@ -214,7 +214,7 @@ sh run_export.sh [BATCH_SIZE] [USE_DEVICE_ID] [PRETRAINED_BACKBONE]
 | Parameters                 | Face Detection                                              |
 | -------------------------- | ----------------------------------------------------------- |
 | Model Version              | V1                                                          |
-| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory, 755G             |
+| Resource                   | Ascend 910; CPU 2.60GHz, 192cores; Memory 755G; OS Euler2.8                |
 | uploaded Date              | 09/30/2020 (month/day/year)                                 |
 | MindSpore Version          | 1.0.0                                                       |
 | Dataset                    | 13K images                                                  |
@@ -231,7 +231,7 @@ sh run_export.sh [BATCH_SIZE] [USE_DEVICE_ID] [PRETRAINED_BACKBONE]
 | Parameters          | Face Detection              |
 | ------------------- | --------------------------- |
 | Model Version       | V1                          |
-| Resource            | Ascend 910                  |
+| Resource            | Ascend 910; OS Euler2.8                  |
 | Uploaded Date       | 09/30/2020 (month/day/year) |
 | MindSpore Version   | 1.0.0                       |
 | Dataset             | 3K images                   |