tf.train.FloatList

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Used in tf.train.Example protos. Holds a list of floats.

Used in the notebooks

An Example proto is a representation of the following python type:

Dict[str,
     Union[List[bytes],
           List[int64],
           List[float]]]

This proto implements the List[float] portion.

from google.protobuf import text_format
example = text_format.Parse('''
  features {
    feature {key: "my_feature"
             value {float_list {value: [1., 2., 3., 4. ]} } }
  }''',
  tf.train.Example())

example.features.feature['my_feature'].float_list.value
[1.0, 2.0, 3.0, 4.0]

Use tf.io.parse_example to extract tensors from a serialized Example proto:

tf.io.parse_example(
    example.SerializeToString(),
    features = {'my_feature': tf.io.RaggedFeature(dtype=tf.float32)})
{'my_feature': <tf.Tensor: shape=(4,), dtype=float32,
                           numpy=array([1., 2., 3., 4.], dtype=float32)>}

See the tf.train.Example guide for usage details.