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Used in tf.train.Example protos. Holds a list of byte-strings.
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[bytes] portion.
from google.protobuf import text_formatexample = text_format.Parse('''features {feature {key: "my_feature"value {bytes_list {value: ['abc', '12345' ]} } }}''',tf.train.Example())example.features.feature['my_feature'].bytes_list.value["abc", "12345"]
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.string)}){'my_feature': <tf.Tensor: shape=(2,), dtype=string,numpy=array([b'abc', b'12345'], dtype=object)>}
See the tf.train.Example
guide for usage details.
Attributes | |
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value
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repeated bytes value
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