human
I wrote the below code

    batch_tf_example_placeholder = tf.placeholder(tf.string, shape=[None], name='tf_example')
    def decode(tf_example_string_tensor):
        tensor_dict = tf_example_decoder.TfExampleDecoder().decode(tf_example_string_tensor)
        image_tensor = tensor_dict[fields.InputDataFields.image]
        return image_tensor
    return (batch_tf_example_placeholder, tf.map_fn(decode, elems=batch_tf_example_placeholder, dtype=tf.uint8, parallel_iterations=32, back_prop=False))

What's a good function header?

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

def _tf_example_input_placeholder():