'Returns a RandomUniform Tensor between -param_init and param_init.'

def RandomUniformInit(self, shape):

    param_seed = self.utility.FLAGS.param_seed
    self.init_seed_counter += 1
    return tf.random_uniform(shape, ((-1.0) * np.float32(self.utility.FLAGS.param_init).astype(self.utility.np_data_type[self.utility.FLAGS.data_type])), np.float32(self.utility.FLAGS.param_init).astype(self.utility.np_data_type[self.utility.FLAGS.data_type]), self.utility.tf_data_type[self.utility.FLAGS.data_type], (param_seed + self.init_seed_counter))
