upgrade vision

Author: parmeet

pytorch_vision_alexnet.md

@@ -19,7 +19,7 @@ demo-model-link: https://colab.research.google.com/drive/1avee9yGqxf2cSE3AaYctXP
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'alexnet', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'alexnet', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_deeplabv3_resnet101.md

@@ -18,7 +18,7 @@ order: 1
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'deeplabv3_resnet101', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'deeplabv3_resnet101', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_densenet.md

@@ -19,11 +19,11 @@ demo-model-link: https://colab.research.google.com/drive/1zZGSyJUchpeIfMDgyzFTLR
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'densenet121', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet121', pretrained=True)
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'densenet169', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'densenet201', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'densenet161', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet169', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet201', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet161', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_fcn_resnet101.md

@@ -18,7 +18,7 @@ order: 10
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'fcn_resnet101', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'fcn_resnet101', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_googlenet.md

@@ -18,7 +18,7 @@ order: 10
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'googlenet', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'googlenet', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_inception_v3.md

@@ -19,7 +19,7 @@ demo-model-link: https://colab.research.google.com/drive/1KPpTEcUa6KECkNfq1pYbBK
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'inception_v3', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'inception_v3', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_mobilenet_v2.md

@@ -19,7 +19,7 @@ demo-model-link: https://colab.research.google.com/drive/1zjsamXNjQBsbvuR0y5-dDZ
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'mobilenet_v2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'mobilenet_v2', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_resnet.md

@@ -18,12 +18,12 @@ order: 10
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet18', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet18', pretrained=True)
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet34', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet50', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet101', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet152', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet34', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet50', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet101', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet152', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_resnext.md

@@ -18,9 +18,9 @@ order: 10
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'resnext50_32x4d', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'resnext50_32x4d', pretrained=True)
 # or
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'resnext101_32x8d', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnext101_32x8d', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_shufflenet_v2.md

@@ -19,7 +19,7 @@ demo-model-link: https://colab.research.google.com/drive/1p8lWqa2q0xxMccFGgGExoZ
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'shufflenet_v2_x1_0', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'shufflenet_v2_x1_0', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_squeezenet.md

@@ -19,9 +19,9 @@ demo-model-link: https://colab.research.google.com/drive/1ew6BWenc9omDBTliy0TJsi
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'squeezenet1_0', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'squeezenet1_0', pretrained=True)
 # or
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'squeezenet1_1', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'squeezenet1_1', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_vgg.md

@@ -19,15 +19,15 @@ demo-model-link: https://colab.research.google.com/drive/1j1mEt6VzgmLfSPrKZfwUTk
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg11', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg11', pretrained=True)
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg11_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg13', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg13_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg16', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg16_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg19', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.9.0', 'vgg19_bn', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg11_bn', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg13', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg13_bn', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg16', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg16_bn', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg19', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg19_bn', pretrained=True)
 model.eval()
 ```
 

pytorch_vision_wide_resnet.md

@@ -19,9 +19,9 @@ order: 10
 ```python
 import torch
 # load WRN-50-2:
-model = torch.hub.load('pytorch/vision:v0.9.0', 'wide_resnet50_2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'wide_resnet50_2', pretrained=True)
 # or WRN-101-2
-model = torch.hub.load('pytorch/vision:v0.9.0', 'wide_resnet101_2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.10.0', 'wide_resnet101_2', pretrained=True)
 model.eval()
 ```