(serialized, image_feature, caption_feature)
return encoded_image, caption
Parses a tensorflow.SequenceExample into an image and caption.

  Args:
    serialized: A scalar string Tensor; a single serialized SequenceExample.
    image_feature: Name of SequenceExample context feature containing image
      data.
    caption_feature: Name of SequenceExample feature list containing integer
      captions.

  Returns:
    encoded_image: A scalar string Tensor containing a JPEG encoded image.
    caption: A 1-D uint64 Tensor with dynamically specified length.
Parses a tensorflow.SequenceExample into an image and caption.
Parses a tensorflow . SequenceExample into an image and caption .
def parse_sequence_example(serialized, image_feature, caption_feature):
  """Parses a tensorflow.SequenceExample into an image and caption.

  Args:
    serialized: A scalar string Tensor; a single serialized SequenceExample.
    image_feature: Name of SequenceExample context feature containing image
      data.
    caption_feature: Name of SequenceExample feature list containing integer
      captions.

  Returns:
    encoded_image: A scalar string Tensor containing a JPEG encoded image.
    caption: A 1-D uint64 Tensor with dynamically specified length.
  """
  context, sequence = tf.parse_single_sequence_example(
      serialized,
      context_features={
          image_feature: tf.FixedLenFeature([], dtype=tf.string)
      },
      sequence_features={
          caption_feature: tf.FixedLenSequenceFeature([], dtype=tf.int64),
      })

  encoded_image = context[image_feature]
  caption = sequence[caption_feature]
  return encoded_image, caption
def parse_sequence_example ( serialized , image_feature , caption_feature ) : context , sequence = tf . parse_single_sequence_example ( serialized , context_features = { image_feature : tf . FixedLenFeature ( [ ] , dtype = tf . string ) } , sequence_features = { caption_feature : tf . FixedLenSequenceFeature ( [ ] , dtype = tf . int64 ) , } ) encoded_image = context [ image_feature ] caption = sequence [ caption_feature ] return encoded_image , caption