Fix source link

Author: lizekai-richard

doc/models/alexnet.md

@@ -7,7 +7,7 @@ We provide the following interface to initialize a AlexNet model:
 <div style="background-color:#F7F7F7; padding:15px; border:1px solid #E0E0E0; border-top:3px solid #FF0000; font-family:monospace; font-size:14px;">
 
 dd_ranking.utils.get_alexnet(model_name: str, im_size: tuple, channel: int, num_classes: int, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters

doc/models/convnet.md

@@ -8,7 +8,7 @@ By default, we use width 128, average pooling, and ReLU activation. We provide t
 
 dd_ranking.utils.get_convnet(model_name: str, 
 im_size: tuple, channel: int, num_classes: int, net_depth: int, net_norm: str, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters

doc/models/lenet.md

@@ -7,7 +7,7 @@ We provide the following interface to initialize a LeNet model:
 <div style="background-color:#F7F7F7; padding:15px; border:1px solid #E0E0E0; border-top:3px solid #FF0000; font-family:monospace; font-size:14px;">
 
 dd_ranking.utils.get_lenet(model_name: str, im_size: tuple, channel: int, num_classes: int, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters

doc/models/mlp.md

@@ -7,7 +7,7 @@ We provide the following interface to initialize a MLP model:
 <div style="background-color:#F7F7F7; padding:15px; border:1px solid #E0E0E0; border-top:3px solid #FF0000; font-family:monospace; font-size:14px;">
 
 dd_ranking.utils.get_mlp(model_name: str, im_size: tuple, channel: int, num_classes: int, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters

doc/models/resnet.md

@@ -8,7 +8,7 @@ We provide the following interface to initialize a ConvNet model:
 
 dd_ranking.utils.get_resnet(model_name: str, 
 im_size: tuple, channel: int, num_classes: int, depth: int, batchnorm: bool, use_torchvision: bool, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters

doc/models/vgg.md

@@ -8,7 +8,7 @@ We provide the following interface to initialize a ConvNet model:
 
 dd_ranking.utils.get_vgg(model_name: str, 
 im_size: tuple, channel: int, num_classes: int, depth: int, batchnorm: bool, use_torchvision: bool, pretrained: bool, model_path: str)
-[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/models.py)
+[**[SOURCE]**](https://github.com/NUS-HPC-AI-Lab/DD-Ranking/blob/main/dd_ranking/utils/model.py)
 </div>
 
 ### Parameters