<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def add_l2_normalize(self, name, input_name, output_name, epsilon = 1e-5):
 """ Add L2 normalize layer. Normalizes the input by the L2 norm, i.e. divides by the the square root of the sum of squares of all elements of the input along C, H and W dimensions. Parameters name: str The name of this layer. input_name: str The input blob name of this layer. output_name: str The output blob name of this layer. epsilon: float small bias to avoid division by zero. See Also -------- add_mvn, add_lrn """


        spec = self.spec
        nn_spec = self.nn_spec

        # Add a new layer
        spec_layer = nn_spec.layers.add()
        spec_layer.name = name
        spec_layer.input.append(input_name)
        spec_layer.output.append(output_name)

        spec_layer_params = spec_layer.l2normalize
        spec_layer_params.epsilon = epsilon