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Used in tf.train.Example
protos. Holds a list of floats.
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.
Attributes | |
---|---|
value
|
repeated float value
|