Jul-14-2019, 12:17 PM
I am having a hardtime understanding call methods in python. I have this class object
I know that when we initiate the line self.W1 = tf.keras.layers.Dense(units) its creating a Dense neural network layer of n units. But under call method they are doing this self.W1(features). What is the purpose of this and what is the intentional behaviour?
I tried to make a sample class object for understanding classes
class Attention(tf.keras.Model): def __init__(self, units): super(Attention, self).__init__() self.W1 = tf.keras.layers.Dense(units) self.W2 = tf.keras.layers.Dense(units) self.V = tf.keras.layers.Dense(1) def call(self, features, hidden): hidden_with_time_axis = tf.expand_dims(hidden, 1) score = tf.nn.tanh(self.W1(features) + self.W2(hidden_with_time_axis)) attention_weights = tf.nn.softmax(self.V(score), axis=1) context_vector = attention_weights * features context_vector = tf.reduce_sum(context_vector, axis=1) return context_vector, attention_weightsIn this class object two Dense layer attributes self.W1 and self.W1 were created and then a features and a hidden_with_time_axis attribute is called on W1 and W2.
I know that when we initiate the line self.W1 = tf.keras.layers.Dense(units) its creating a Dense neural network layer of n units. But under call method they are doing this self.W1(features). What is the purpose of this and what is the intentional behaviour?
I tried to make a sample class object for understanding classes
class Foo: def __init__(self, units): self.units=units def __call__(self): print ('called '+self.units) a=Foo(3) b=Foo(a)But I still dont understand the use of a call object and when and where to use it? Can anyone explain it in a simple manner?.