Upd comments style, 2

ethan-jiang-1 · Dec 27, 2020 · e8b7d64 · e8b7d64
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Showing 9 changed files with 9 additions and 9 deletions.
diff --git a/chainer_/chainercv2/models/squeezenet.py b/chainer_/chainercv2/models/squeezenet.py
@@ -326,7 +326,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters:

diff --git a/gluon/gluoncv2/models/others/oth_alpha_pose.py b/gluon/gluoncv2/models/others/oth_alpha_pose.py
@@ -243,7 +243,7 @@ def hybrid_forward(self, F, x):
 
 class FastSEResNet(HybridBlock):
     """ FastSEResNet """
-    try_load_parameters = _try_load_Parameters:
+    try_load_parameters = _try_load_parameters
 
     def __init__(self, architecture, norm_layer=nn.BatchNorm, **kwargs):
         super(FastSEResNet, self).__init__()

diff --git a/gluon/gluoncv2/models/squeezenet.py b/gluon/gluoncv2/models/squeezenet.py
@@ -330,7 +330,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters:

diff --git a/keras_/kerascv/models/squeezenet.py b/keras_/kerascv/models/squeezenet.py
@@ -341,7 +341,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters:

diff --git a/pytorch/pytorchcv/models/others/oth_ibppose.py b/pytorch/pytorchcv/models/others/oth_ibppose.py
@@ -161,7 +161,7 @@ def __init__(self, depth, nFeat, increase=128, bn=False, resBlock=Residual, conv
         self.bn = bn
         self.resBlock = resBlock
         self.convBlock = convBlock
-        # will execute when instantiate the Hourglass object, prepare network's Parameters:
+        # will execute when instantiate the Hourglass object, prepare network's parameters
         self.hg = self._make_hour_glass()
         self.downsample = nn.MaxPool2d(2, 2)  # no learning parameters, can be used any times repeatedly
         self.upsample = nn.Upsample(scale_factor=2, mode='nearest')  # no learning parameters  # FIXME: 改成反卷积？

diff --git a/pytorch/pytorchcv/models/others/oth_ibppose1.py b/pytorch/pytorchcv/models/others/oth_ibppose1.py
@@ -161,7 +161,7 @@ def __init__(self, depth, nFeat, increase=128, bn=False, resBlock=Residual, conv
         self.bn = bn
         self.resBlock = resBlock
         self.convBlock = convBlock
-        # will execute when instantiate the Hourglass object, prepare network's Parameters:
+        # will execute when instantiate the Hourglass object, prepare network's parameters
         self.hg = self._make_hour_glass()
         self.downsample = nn.MaxPool2d(2, 2)  # no learning parameters, can be used any times repeatedly
         self.upsample = nn.Upsample(scale_factor=2, mode='nearest')  # no learning parameters  # FIXME: 改成反卷积？

diff --git a/pytorch/pytorchcv/models/squeezenet.py b/pytorch/pytorchcv/models/squeezenet.py
@@ -324,7 +324,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters:

diff --git a/tensorflow2/tf2cv/models/squeezenet.py b/tensorflow2/tf2cv/models/squeezenet.py
@@ -356,7 +356,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters:

diff --git a/tensorflow_/tensorflowcv/models/squeezenet.py b/tensorflow_/tensorflowcv/models/squeezenet.py
@@ -416,7 +416,7 @@ def squeezeresnet_v1_0(**kwargs):
 
 def squeezeresnet_v1_1(**kwargs):
     """
-    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer Parameters:
+    SqueezeNet v1.1 model with residual connections from 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
     and <0.5MB model size,' https://arxiv.org/abs/1602.07360.
 
     Parameters: