def build(self, input_shape):
self.axis = tf_utils.validate_axis(self.axis, input_shape)
input_shape = tf.TensorShape(input_shape)
rank = input_shape.rank
param_shape = [input_shape[dim] for dim in self.axis]
if self.scale:
self.gamma = self.add_weight(name='gamma',
shape=param_shape,
initializer=self.gamma_initializer,
regularizer=self.gamma_regularizer,
constraint=self.gamma_constraint,
trainable=True,
experimental_autocast=False)
else:
self.gamma = None
if self.center:
self.beta = self.add_weight(name='beta',
shape=param_shape,
initializer=self.beta_initializer,
regularizer=self.beta_regularizer,
constraint=self.beta_constraint,
trainable=True,
experimental_autocast=False)
else:
self.beta = None
self._fused = self._fused_can_be_used(rank)
self.built = True
def build(self, input_shape): self.axis = tf_utils.validate_axis(self.axis, input_shape)
