human
I wrote the below code

    def model(inputs):
        'Model    function    corresponding    to    a    specific    network    architecture.'
        outputs = {}
        encoder_fn = _get_network(params.encoder_name)
        with tf.variable_scope('encoder', reuse=reuse):
            enc_outputs = encoder_fn(inputs['images_1'], params, is_training)
            outputs['ids_1'] = enc_outputs['ids']
        decoder_fn = _get_network(params.decoder_name)
        with tf.variable_scope('decoder', reuse=reuse):
            outputs['voxels_1'] = decoder_fn(outputs['ids_1'], params, is_training)
        if run_projection:
            projector_fn = _get_network(params.projector_name)
            with tf.variable_scope('projector', reuse=reuse):
                outputs['projs_1'] = projector_fn(outputs['voxels_1'], inputs['matrix_1'], params, is_training)
            with tf.variable_scope('oracle', reuse=reuse):
                outputs['masks_1'] = projector_fn(inputs['voxels'], inputs['matrix_1'], params, False)
            for k in range(1, params.step_size):
                with tf.variable_scope('projector', reuse=True):
                    outputs[('projs_%d' % (k + 1))] = projector_fn(outputs['voxels_1'], inputs[('matrix_%d' % (k + 1))], params, is_training)
                with tf.variable_scope('oracle', reuse=True):
                    outputs[('masks_%d' % (k + 1))] = projector_fn(inputs['voxels'], inputs[('matrix_%d' % (k + 1))], params, False)
        return outputs
    return model

What's a good function header?
 Here's a good function header?
assistant
#Here's a good function header.

def get(params, is_training=False, reuse=False, run_projection=True):