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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def gated_linear_unit_layer(x, name=None):
 """Gated linear unit layer. Paper: Language Modeling with Gated Convolutional Networks. Link: https://arxiv.org/abs/1612.08083 x = Wx * sigmoid(W'x). Args: x: A tensor name: A string Returns: A tensor of the same shape as x. """

  with tf.variable_scope(name, default_name="glu_layer", values=[x]):
    depth = shape_list(x)[-1]
    x = layers().Dense(depth * 2, activation=None)(x)
    x, gating_x = tf.split(x, 2, axis=-1)
    return x * tf.nn.sigmoid(gating_x)