update foundation_vit from EVA_vit_huge to EVA_vit_giant

docs/zh_CN/models/Foundation_models/FoundationViT.md

@@ -13,7 +13,7 @@
 
 ## 2. 使用说明
 
-以模型`CLIP_vit_base_patch16_224`为例，使用该模型以及对应的预训练权重进行特征提取的代码如下：
+以模型 `CLIP_vit_base_patch16_224`为例，使用该模型以及对应的预训练权重进行特征提取的代码如下：
 
 ```python
 from ppcls.utils import config
@@ -32,7 +32,7 @@ output = model(inputs)  # the output of model embeding
 目前支持的视觉大模型以及预训练权重如下：
 
 |  系列  |                模型                | 模型大小 | embedding_size |                   预训练数据集                   | 权重下载                                                                                                                         |
-| :----: | :--------------------------------: | :------: | :------------: | :----------------------------------------------: | ------------------------------------------------------------ |
+| :----: | :--------------------------------: | :------: | :------------: | :----------------------------------------------: | -------------------------------------------------------------------------------------------------------------------------------- |
 |  CLIP  |     CLIP_vit_base_patch16_224     |   85M   |      768      |                       WIT                       | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/CLIP_vit_base_patch16_224.pdparams)          |
 |  CLIP  |     CLIP_vit_base_patch32_224     |   87M   |      768      |                       WIT                       | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/CLIP_vit_base_patch32_224.pdparams)          |
 |  CLIP  |     CLIP_vit_large_patch14_224     |   302M   |      1024      |                       WIT                       | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/CLIP_vit_large_patch14_224.pdparams)         |
@@ -46,7 +46,7 @@ output = model(inputs)  # the output of model embeding
 |  MAE  |        MAE_vit_base_patch16        |   85M   |      768      |                   ImageNet-1k                   | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/MAE_vit_base_patch16.pdparams)               |
 |  MAE  |       MAE_vit_large_patch16       |   303M   |      1024      |                   ImageNet-1k                   | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/MAE_vit_large_patch16.pdparams)              |
 |  MAE  |        MAE_vit_huge_patch14        |   630M   |      1280      |                   ImageNet-1k                   | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/MAE_vit_huge_patch14.pdparams)               |
-|  EVA   |        EVA_vit_huge_patch14        |  1010M   |      1408      | ImageNet-21k, CC12M,   CC2M, Object365,COCO, ADE | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/EVA_vit_huge_patch14.pdparams) |
+|  EVA  |       EVA_vit_giant_patch14       |  1010M  |      1408      | ImageNet-21k, CC12M,   CC2M, Object365,COCO, ADE | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/EVA_vit_giant_patch14.pdparams)               |
 |  CAE  |      CAE_vit_base_patch16_224      |   85M   |      768      |                   ImageNet-1k                   | [下载地址](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/CAE_vit_base_patch16_224.pdparams)           |
 
 ## 4. 参考文献

ppcls/arch/backbone/__init__.py

@@ -71,7 +71,7 @@ from .model_zoo.mobilevit import MobileViT_XXS, MobileViT_XS, MobileViT_S
 from .model_zoo.repvgg import RepVGG_A0, RepVGG_A1, RepVGG_A2, RepVGG_B0, RepVGG_B1, RepVGG_B2, RepVGG_B1g2, RepVGG_B1g4, RepVGG_B2g4, RepVGG_B3, RepVGG_B3g4, RepVGG_D2se
 from .model_zoo.van import VAN_B0, VAN_B1, VAN_B2, VAN_B3
 from .model_zoo.peleenet import PeleeNet
-from .model_zoo.foundation_vit import CLIP_vit_base_patch32_224, CLIP_vit_base_patch16_224, CLIP_vit_large_patch14_336, CLIP_vit_large_patch14_224, BEiTv2_vit_base_patch16_224, BEiTv2_vit_large_patch16_224, CAE_vit_base_patch16_224, EVA_vit_huge_patch14, MOCOV3_vit_small, MOCOV3_vit_base, MAE_vit_huge_patch14, MAE_vit_large_patch16, MAE_vit_base_patch16
+from .model_zoo.foundation_vit import CLIP_vit_base_patch32_224, CLIP_vit_base_patch16_224, CLIP_vit_large_patch14_336, CLIP_vit_large_patch14_224, BEiTv2_vit_base_patch16_224, BEiTv2_vit_large_patch16_224, CAE_vit_base_patch16_224, EVA_vit_giant_patch14, MOCOV3_vit_small, MOCOV3_vit_base, MAE_vit_huge_patch14, MAE_vit_large_patch16, MAE_vit_base_patch16
 from .model_zoo.convnext import ConvNeXt_tiny, ConvNeXt_small, ConvNeXt_base_224, ConvNeXt_base_384, ConvNeXt_large_224, ConvNeXt_large_384
 from .model_zoo.nextvit import NextViT_small_224, NextViT_base_224, NextViT_large_224, NextViT_small_384, NextViT_base_384, NextViT_large_384
 from .model_zoo.cae import cae_base_patch16_224, cae_large_patch16_224

ppcls/arch/backbone/model_zoo/foundation_vit.py

@@ -40,8 +40,8 @@ MODEL_URLS = {
     "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/BEiTv2_vit_large_patch16_224.pdparams",
     "CAE_vit_base_patch16_224":
     "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/CAE_vit_base_patch16_224.pdparams",
-    'EVA_vit_huge_patch14':
-    "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/EVA_vit_huge_patch14.pdparams",
+    'EVA_vit_giant_patch14':
+    "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/EVA_vit_giant_patch14.pdparams",
     "MOCOV3_vit_small":
     "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/foundation_models/MOCOV3_vit_small.pdparams",
     "MOCOV3_vit_base":
@@ -867,7 +867,7 @@ def MAE_vit_huge_patch14(pretrained=False, use_ssld=False, **kwargs):
     return model
 
 
-def EVA_vit_huge_patch14(pretrained=False, use_ssld=False, **kwargs):
+def EVA_vit_giant_patch14(pretrained=False, use_ssld=False, **kwargs):
     model_name = sys._getframe().f_code.co_name
     model = VisionTransformer(
         model_name=model_name,