tf.train.FloatList

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

Used in the notebooks

Used in the tutorials

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.

value repeated float value