1bb6665d4726547dd79c6b38615cef6ca50e346f,deeplift/keras_conversion.py,,dense_conversion,#Any#Any#Any#,67

Before Change

    to_return = [blobs.Dense(name=name, 
                  W=layer.get_weights()[0],
                  b=layer.get_weights()[1])]
    to_return.extend(activation_conversion(layer, "activ_"+str(name),
                                                  mxts_mode=mxts_mode))
    return to_return

After Change

def dense_conversion(layer, name, mxts_mode):
    //mxts_mode not used
    converted_activation = activation_conversion(layer, name,
                                                  mxts_mode=mxts_mode) 
    to_return = [blobs.Dense(
                  name=("preact_" if len(converted_activation) > 0
                        else "")+name, 
                  W=layer.get_weights()[0],
                  b=layer.get_weights()[1])]
    to_return.extend(converted_activation)
    return to_return


def prelu_conversion(layer, name, mxts_mode):

Instances