Refactoring, update quotes

chainer_/chainercv2/models/airnet.py

@@ -288,7 +288,7 @@ def get_airnet(blocks,
                ratio,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create AirNet model with specific parameters.

chainer_/chainercv2/models/airnext.py

@@ -221,7 +221,7 @@ def get_airnext(blocks,
                 ratio,
                 model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create AirNet model with specific parameters.

chainer_/chainercv2/models/alexnet.py

@@ -196,7 +196,7 @@ def __call__(self, x):
 
 def get_alexnet(model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create AlexNet model with specific parameters.

chainer_/chainercv2/models/bagnet.py

@@ -222,7 +222,7 @@ def __call__(self, x):
 def get_bagnet(field,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create BagNet model with specific parameters.

chainer_/chainercv2/models/bamresnet.py

@@ -281,7 +281,7 @@ def __call__(self, x):
 def get_resnet(blocks,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create BAM-ResNet model with specific parameters.

chainer_/chainercv2/models/bninception.py

@@ -373,7 +373,7 @@ def __call__(self, x):
 
 def get_bninception(model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create BN-Inception model with specific parameters.

chainer_/chainercv2/models/cbamresnet.py

@@ -258,7 +258,7 @@ def __call__(self, x):
 def get_resnet(blocks,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create CBAM-ResNet model with specific parameters.

chainer_/chainercv2/models/channelnet.py

@@ -524,7 +524,7 @@ def __call__(self, x):
 
 def get_channelnet(model_name=None,
                    pretrained=False,
-                   root=os.path.join('~', '.chainer', 'models'),
+                   root=os.path.join("~", ".chainer", "models"),
                    **kwargs):
     """
     Create ChannelNet model with specific parameters.

chainer_/chainercv2/models/condensenet.py

@@ -392,7 +392,7 @@ def get_condensenet(num_layers,
                     groups=4,
                     model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create CondenseNet (converted) model with specific parameters.

chainer_/chainercv2/models/darknet.py

@@ -132,7 +132,7 @@ def __call__(self, x):
 def get_darknet(version,
                 model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create DarkNet model with specific parameters.

chainer_/chainercv2/models/darknet53.py

@@ -137,7 +137,7 @@ def __call__(self, x):
 
 def get_darknet53(model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create DarkNet model with specific parameters.

chainer_/chainercv2/models/darts.py

@@ -635,7 +635,7 @@ def forward(self, x):
 
 def get_darts(model_name=None,
               pretrained=False,
-              root=os.path.join('~', '.chainer', 'models'),
+              root=os.path.join("~", ".chainer", "models"),
               **kwargs):
     """
     Create DARTS model with specific parameters.

chainer_/chainercv2/models/deeplabv3.py

@@ -216,7 +216,7 @@ def get_deeplabv3(backbone,
                   aux=False,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create DeepLabv3 model with specific parameters.

chainer_/chainercv2/models/densenet.py

@@ -168,7 +168,7 @@ def __call__(self, x):
 def get_densenet(blocks,
                  model_name=None,
                  pretrained=False,
-                 root=os.path.join('~', '.chainer', 'models'),
+                 root=os.path.join("~", ".chainer", "models"),
                  **kwargs):
     """
     Create DenseNet model with specific parameters.

chainer_/chainercv2/models/densenet_cifar.py

@@ -146,7 +146,7 @@ def get_densenet_cifar(classes,
                        bottleneck,
                        model_name=None,
                        pretrained=False,
-                       root=os.path.join('~', '.chainer', 'models'),
+                       root=os.path.join("~", ".chainer", "models"),
                        **kwargs):
     """
     Create DenseNet model for CIFAR-10 with specific parameters.

chainer_/chainercv2/models/diracnetv2.py

@@ -186,7 +186,7 @@ def __call__(self, x):
 def get_diracnetv2(blocks,
                    model_name=None,
                    pretrained=False,
-                   root=os.path.join('~', '.chainer', 'models'),
+                   root=os.path.join("~", ".chainer", "models"),
                    **kwargs):
     """
     Create DiracNetV2 model with specific parameters.

chainer_/chainercv2/models/dla.py

@@ -399,7 +399,7 @@ def get_dla(levels,
             residual_root=False,
             model_name=None,
             pretrained=False,
-            root=os.path.join('~', '.chainer', 'models'),
+            root=os.path.join("~", ".chainer", "models"),
             **kwargs):
     """
     Create DLA model with specific parameters.

chainer_/chainercv2/models/dpn.py

@@ -458,7 +458,7 @@ def get_dpn(num_layers,
             for_training=False,
             model_name=None,
             pretrained=False,
-            root=os.path.join('~', '.chainer', 'models'),
+            root=os.path.join("~", ".chainer", "models"),
             **kwargs):
     """
     Create DPN model with specific parameters.

chainer_/chainercv2/models/drn.py

@@ -401,7 +401,7 @@ def get_drn(blocks,
             simplified=False,
             model_name=None,
             pretrained=False,
-            root=os.path.join('~', '.chainer', 'models'),
+            root=os.path.join("~", ".chainer", "models"),
             **kwargs):
     """
     Create DRN-C or DRN-D model with specific parameters.

chainer_/chainercv2/models/espnetv2.py

@@ -382,7 +382,7 @@ def __call__(self, x):
 def get_espnetv2(width_scale,
                  model_name=None,
                  pretrained=False,
-                 root=os.path.join('~', '.chainer', 'models'),
+                 root=os.path.join("~", ".chainer", "models"),
                  **kwargs):
     """
     Create ESPNetv2 model with specific parameters.

chainer_/chainercv2/models/fcn8sd.py

@@ -122,7 +122,7 @@ def get_fcn8sd(backbone,
                aux=False,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create FCN-8s(d) model with specific parameters.

chainer_/chainercv2/models/fishnet.py

@@ -538,7 +538,7 @@ def __call__(self, x):
 def get_fishnet(blocks,
                 model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create FishNet model with specific parameters.

chainer_/chainercv2/models/igcv3.py

@@ -155,7 +155,7 @@ def __call__(self, x):
 def get_mobilenetv2(width_scale,
                     model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create IGCV3-D model with specific parameters.

chainer_/chainercv2/models/inceptionresnetv2.py

@@ -576,7 +576,7 @@ def __call__(self, x):
 
 def get_inceptionresnetv2(model_name=None,
                           pretrained=False,
-                          root=os.path.join('~', '.chainer', 'models'),
+                          root=os.path.join("~", ".chainer", "models"),
                           **kwargs):
     """
     Create InceptionResNetV2 model with specific parameters.

chainer_/chainercv2/models/inceptionv3.py

@@ -635,7 +635,7 @@ def __call__(self, x):
 
 def get_inceptionv3(model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create InceptionV3 model with specific parameters.

chainer_/chainercv2/models/inceptionv4.py

@@ -664,7 +664,7 @@ def __call__(self, x):
 
 def get_inceptionv4(model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create InceptionV4 model with specific parameters.

chainer_/chainercv2/models/irevnet.py

@@ -387,7 +387,7 @@ def inverse(self, out_bij):
 def get_irevnet(blocks,
                 model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create i-RevNet model with specific parameters.

chainer_/chainercv2/models/menet.py

@@ -247,7 +247,7 @@ def get_menet(first_stage_channels,
               groups,
               model_name=None,
               pretrained=False,
-              root=os.path.join('~', '.chainer', 'models'),
+              root=os.path.join("~", ".chainer", "models"),
               **kwargs):
     """
     Create MENet model with specific parameters.

chainer_/chainercv2/models/mnasnet.py

@@ -332,7 +332,7 @@ def __call__(self, x):
 
 def get_mnasnet(model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create MnasNet model with specific parameters.

chainer_/chainercv2/models/mobilenet.py

@@ -125,7 +125,7 @@ def get_mobilenet(version,
                   width_scale,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create MobileNet or FD-MobileNet model with specific parameters.

chainer_/chainercv2/models/mobilenetv2.py

@@ -145,7 +145,7 @@ def __call__(self, x):
 def get_mobilenetv2(width_scale,
                     model_name=None,
                     pretrained=False,
-                    root=os.path.join('~', '.chainer', 'models'),
+                    root=os.path.join("~", ".chainer", "models"),
                     **kwargs):
     """
     Create MobileNetV2 model with specific parameters.

chainer_/chainercv2/models/nasnet.py

@@ -1195,7 +1195,7 @@ def get_nasnet(repeat,
                in_size,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create NASNet-A model with specific parameters.

chainer_/chainercv2/models/nin_cifar.py

@@ -139,7 +139,7 @@ def __call__(self, x):
 def get_nin_cifar(classes,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create NIN model for CIFAR with specific parameters.

chainer_/chainercv2/models/octresnet.py

@@ -668,7 +668,7 @@ def get_octresnet(blocks,
                   width_scale=1.0,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create Oct-ResNet model with specific parameters.

chainer_/chainercv2/models/peleenet.py

@@ -291,7 +291,7 @@ def __call__(self, x):
 
 def get_peleenet(model_name=None,
                  pretrained=False,
-                 root=os.path.join('~', '.chainer', 'models'),
+                 root=os.path.join("~", ".chainer", "models"),
                  **kwargs):
     """
     Create PeleeNet model with specific parameters.

chainer_/chainercv2/models/pnasnet.py

@@ -520,7 +520,7 @@ def __call__(self, x):
 
 def get_pnasnet(model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create PNASNet model with specific parameters.

chainer_/chainercv2/models/polynet.py

@@ -898,7 +898,7 @@ def __call__(self, x):
 
 def get_polynet(model_name=None,
                 pretrained=False,
-                root=os.path.join('~', '.chainer', 'models'),
+                root=os.path.join("~", ".chainer", "models"),
                 **kwargs):
     """
     Create PolyNet model with specific parameters.

chainer_/chainercv2/models/preresnet.py

@@ -294,7 +294,7 @@ def get_preresnet(blocks,
                   width_scale=1.0,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create PreResNet model with specific parameters.

chainer_/chainercv2/models/preresnet_cifar.py

@@ -96,7 +96,7 @@ def get_preresnet_cifar(classes,
                         bottleneck,
                         model_name=None,
                         pretrained=False,
-                        root=os.path.join('~', '.chainer', 'models'),
+                        root=os.path.join("~", ".chainer", "models"),
                         **kwargs):
     """
     Create PreResNet model for CIFAR with specific parameters.

chainer_/chainercv2/models/proxylessnas.py

@@ -245,7 +245,7 @@ def __call__(self, x):
 def get_proxylessnas(version,
                      model_name=None,
                      pretrained=False,
-                     root=os.path.join('~', '.chainer', 'models'),
+                     root=os.path.join("~", ".chainer", "models"),
                      **kwargs):
     """
     Create ProxylessNAS model with specific parameters.

chainer_/chainercv2/models/pspnet.py

@@ -204,7 +204,7 @@ def get_pspnet(backbone,
                aux=False,
                model_name=None,
                pretrained=False,
-               root=os.path.join('~', '.chainer', 'models'),
+               root=os.path.join("~", ".chainer", "models"),
                **kwargs):
     """
     Create PSPNet model with specific parameters.

chainer_/chainercv2/models/pyramidnet.py

@@ -265,7 +265,7 @@ def get_pyramidnet(blocks,
                    alpha,
                    model_name=None,
                    pretrained=False,
-                   root=os.path.join('~', '.chainer', 'models'),
+                   root=os.path.join("~", ".chainer", "models"),
                    **kwargs):
     """
     Create PyramidNet model with specific parameters.

chainer_/chainercv2/models/pyramidnet_cifar.py

@@ -100,7 +100,7 @@ def get_pyramidnet_cifar(classes,
                          bottleneck,
                          model_name=None,
                          pretrained=False,
-                         root=os.path.join('~', '.chainer', 'models'),
+                         root=os.path.join("~", ".chainer", "models"),
                          **kwargs):
     """
     Create PyramidNet for CIFAR model with specific parameters.

chainer_/chainercv2/models/resattnet.py

@@ -490,7 +490,7 @@ def __call__(self, x):
 def get_resattnet(blocks,
                   model_name=None,
                   pretrained=False,
-                  root=os.path.join('~', '.chainer', 'models'),
+                  root=os.path.join("~", ".chainer", "models"),
                   **kwargs):
     """
     Create ResAttNet model with specific parameters.