def call(self, x, mask=None):
h = K.dot(x, self.W1)
if self.use_bias:
h = K.bias_add(h, self.b1)
if self.activation is not None:
h = self.activation(h)
y = K.dot(h, self.W2)
if self.use_bias:
y = K.bias_add(y, self.b2)
return y
def call(self, inputs, mask=None, **kwargs):
inputs, embeddings = inputs
outputs = K.bias_add(K.dot(inputs, K.transpose(embeddings)), self.bias)
return keras.activations.softmax(outputs)