Experiments with Keras Model subclassing API

.travis.yml

@@ -17,9 +17,9 @@ install:
     - pip install flake8  # pytest  # add another testing frameworks later
 before_script:
     # stop the build if there are Python syntax errors or undefined names
-    - flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --exclude=./keras  --statistics
+    - flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --exclude=./keras_  --statistics
     # exit-zero treats all errors as warnings.  The GitHub editor is 127 chars wide
-    - flake8 . --count --exit-zero --max-complexity=32 --max-line-length=127 --ignore=F403,F405,E126,E127 --exclude=./pytorch/pytorchcv/models/others,./keras --statistics
+    - flake8 . --count --exit-zero --max-complexity=32 --max-line-length=127 --ignore=F403,F405,E126,E127 --exclude=./pytorch/pytorchcv/models/others,./keras_ --statistics
 script:
     - true  # pytest --capture=sys  # add other tests here
 notifications:

chainer_/chainercv2/models/mobilenet.py

@@ -30,10 +30,12 @@ class ConvBlock(Chain):
         Number of output channels.
     ksize : int or tuple/list of 2 int
         Convolution window size.
-    stride : int or tuple/list of 2 int
+    stride : int or tuple/list of 2 int, default 1
         Stride of the convolution.
-    pad : int or tuple/list of 2 int
+    pad : int or tuple/list of 2 int, default 0
         Padding value for convolution layer.
+    groups : int, default 1
+        Number of groups.
     """
     def __init__(self,
                  in_channels,

gluon/gluoncv2/models/mobilenet.py

@@ -26,10 +26,12 @@ class ConvBlock(HybridBlock):
         Number of output channels.
     kernel_size : int or tuple/list of 2 int
         Convolution window size.
-    strides : int or tuple/list of 2 int
+    strides : int or tuple/list of 2 int, default 1
         Strides of the convolution.
-    padding : int or tuple/list of 2 int
+    padding : int or tuple/list of 2 int, default 0
         Padding value for convolution layer.
+    groups : int, default 1
+        Number of groups.
     bn_use_global_stats : bool
         Whether global moving statistics is used instead of local batch-norm for BatchNorm layers.
     """