tf.train.Int64List

Used in tf.train.Example protos. Holds a list of Int64s.

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[int64] portion.

from google.protobuf import text_format example = text_format.Parse('''   features {     feature {key: "my_feature"              value {int64_list {value: [1, 2, 3, 4]} } }   }''',   tf.train.Example())  example.features.feature['my_feature'].int64_list.value [1, 2, 3, 4]

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.int64)}) {'my_feature': <tf.Tensor: shape=(4,), dtype=float32,                            numpy=array([1, 2, 3, 4], dtype=int64)>}

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

value repeated int64 value