def call(self, inputs):
if not hasattr(self, 'kernel'):
embedding_layer = search_layer(inputs, self.embedding_name)
if embedding_layer is None:
raise Exception('Embedding layer not found')
self.kernel = K.transpose(embedding_layer.embeddings)
self.units = K.int_shape(self.kernel)[1] # <<<
if not hasattr(self, 'bias') and self.use_bias: # <<<
self.bias = self.add_weight(name='bias',
shape=(self.units, ),
initializer='zeros')
outputs = K.dot(inputs, self.kernel)
if self.use_bias:
outputs = K.bias_add(outputs, self.bias)
outputs = self.activation(outputs)
return outputs
def call(self, inputs):
outputs = K.dot(inputs, self.kernel)
outputs = K.bias_add(outputs, self.bias)
outputs = Activation(self.activation).call(outputs)
return outputs