fix MobileViT metrics

docs/en/algorithm_introduction/ImageNet_models_en.md

@@ -541,9 +541,9 @@ The accuracy and speed indicators of MobileViT series models are shown in the fo
 
 | Model       | Top-1 Acc | Top-5 Acc | time(ms)<br>bs=1 | time(ms)<br>bs=4 | time(ms)<br/>bs=8 | FLOPs(M) | Params(M) | Pretrained Model Download Address                                               | Inference Model Download Address                                      |
 | ---------- | --------- | --------- | ---------------- | ---------------- | -------- | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-|  MobileViT_XXS    | 0.6867 | 0.8878 | - | - | - | 1849.35  |  5.59   | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) |
+|  MobileViT_XXS    | 0.6867 | 0.8878 | - | - | - | 337.24  |  1.28   | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) |
 |  MobileViT_XS    | 0.7454 | 0.9227 | - | - | - | 930.75  |  2.33   | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XS_infer.tar) |
-|  MobileViT_S    | 0.7814 | 0.9413 | - | - | - | 337.24  |   1.28   | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) |
+|  MobileViT_S    | 0.7814 | 0.9413 | - | - | - | 1849.35  |   5.59   | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) |
 
 <a name="26"></a>
 

docs/en/models/MobileViT_en.md

@@ -18,6 +18,6 @@ MobileViT is a lightweight visual Transformer network that can be used as a gene
 
 | Models           | Top1 | Top5 | Reference<br>top1 | Reference<br>top5 | FLOPs<br>(M) | Params<br>(M) |
 |:--:|:--:|:--:|:--:|:--:|:--:|:--:|
-| MobileViT_XXS    | 0.6867 | 0.8878 | 0.690 | - | 1849.35  | 5.59   |
+| MobileViT_XXS    | 0.6867 | 0.8878 | 0.690 | - | 337.24  | 1.28   |
 | MobileViT_XS    | 0.7454 | 0.9227 | 0.747 | - | 930.75  | 2.33   |
-| MobileViT_S    | 0.7814 | 0.9413 | 0.783 | - | 337.24  | 1.28   |
+| MobileViT_S    | 0.7814 | 0.9413 | 0.783 | - | 1849.35  | 5.59   |

docs/zh_CN/algorithm_introduction/ImageNet_models.md

@@ -568,9 +568,9 @@ ViT(Vision Transformer) 与 DeiT（Data-efficient Image Transformers）系列模
 
 | 模型       | Top-1 Acc | Top-5 Acc | time(ms)<br>bs=1 | time(ms)<br>bs=4 | time(ms)<br/>bs=8 | FLOPs(M) | Params(M) | 预训练模型下载地址                                               | inference模型下载地址                                      |
 | ---------- | --------- | --------- | ---------------- | ---------------- | -------- | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-|  MobileViT_XXS    | 0.6867 | 0.8878 | - | - | - | 1849.35  |  5.59   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) |
+|  MobileViT_XXS    | 0.6867 | 0.8878 | - | - | - | 337.24  |  1.28   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) |
 |  MobileViT_XS    | 0.7454 | 0.9227 | - | - | - | 930.75  |  2.33   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XS_infer.tar) |
-|  MobileViT_S    | 0.7814 | 0.9413 | - | - | - | 337.24  |   1.28   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) |
+|  MobileViT_S    | 0.7814 | 0.9413 | - | - | - | 1849.35  |   5.59   | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) |
 
 <a name="Others"></a>
 

docs/zh_CN/models/MobileViT.md

@@ -17,6 +17,6 @@ MobileViT 是一个轻量级的视觉 Transformer 网络，可以用作计算机
 
 | Models           | Top1 | Top5 | Reference<br>top1 | Reference<br>top5 | FLOPs<br>(M) | Params<br>(M) |
 |:--:|:--:|:--:|:--:|:--:|:--:|:--:|
-| MobileViT_XXS    | 0.6867 | 0.8878 | 0.690 | - | 1849.35  | 5.59   |
+| MobileViT_XXS    | 0.6867 | 0.8878 | 0.690 | - | 337.24  | 1.28   |
 | MobileViT_XS    | 0.7454 | 0.9227 | 0.747 | - | 930.75  | 2.33   |
-| MobileViT_S    | 0.7814 | 0.9413 | 0.783 | - | 337.24  | 1.28   |
+| MobileViT_S    | 0.7814 | 0.9413 | 0.783 | - | 1849.35  | 5.59   |