Fix AttributeError when using tanh with TF 2.3

Author: sshane

konverter/__main__.py

@@ -3,7 +3,7 @@
 import konverter
 from konverter.utils.general import success, info, warning, error, COLORS, color_logo, blue_grad
 
-KONVERTER_VERSION = "v0.2.2"  # fixme: unify this
+KONVERTER_VERSION = "v0.2.3"  # fixme: unify this
 KONVERTER_LOGO_COLORED = color_logo(KONVERTER_VERSION)
 
 

konverter/utils/konverter_support.py

@@ -87,7 +87,12 @@ def get_layer_info(self, layer):
 
     is_linear = False
     if layer_class.name not in self.attrs_without_activations:
-      activation = getattr(layer.activation, '_keras_api_names')
+      if hasattr(layer.activation, '_keras_api_names'):
+        activation = getattr(layer.activation, '_keras_api_names')
+      else:  # fixme: TF 2.3 is missing _keras_api_names
+        activation = 'keras.activations.' + getattr(layer.activation, '__name__')
+        activation = (activation,)  # fixme: expects this as a tuple
+
       if len(activation) == 1:
         layer_class.info.activation = self.get_class_from_name(activation[0], 'activations')
         if layer_class.info.activation.name not in self.attrs_without_activations:

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "keras-konverter"
-version = "0.2.2"
+version = "0.2.3"
 description = "A tool to convert simple Keras models to pure Python + NumPy"
 readme = "README.md"
 repository = "https://github.com/ShaneSmiskol/Konverter"