Class Optional
Aliases:
- Class
tf.contrib.data.Optional - Class
tf.data.experimental.Optional
Defined in tensorflow/python/data/ops/optional_ops.py.
Wraps a nested structure of tensors that may/may not be present at runtime.
An Optional can represent the result of an operation that may fail as a
value, rather than raising an exception and halting execution. For example,
tf.data.experimental.get_next_as_optional returns an Optional that either
contains the next value from a tf.data.Iterator if one exists, or a "none"
value that indicates the end of the sequence has been reached.
Properties
value_structure
The structure of the components of this optional.
Returns:
A Structure object representing the structure of the components of this
optional.
Methods
tf.data.experimental.Optional.from_value
@staticmethod
from_value(value)
Returns an Optional that wraps the given value.
Args:
value: A nested structure oftf.Tensorand/ortf.SparseTensorobjects.
Returns:
An Optional that wraps value.
tf.data.experimental.Optional.get_value
get_value(name=None)
Returns a nested structure of values wrapped by this optional.
If this optional does not have a value (i.e. self.has_value() evaluates
to False), this operation will raise tf.errors.InvalidArgumentError
at runtime.
Args:
name: (Optional.) A name for the created operation.
Returns:
A nested structure of tf.Tensor and/or tf.SparseTensor objects.
tf.data.experimental.Optional.has_value
has_value(name=None)
Returns a tensor that evaluates to True if this optional has a value.
Args:
name: (Optional.) A name for the created operation.
Returns:
A scalar tf.Tensor of type tf.bool.
tf.data.experimental.Optional.none_from_structure
@staticmethod
none_from_structure(value_structure)
Returns an Optional that has no value.
NOTE: This method takes an argument that defines the structure of the value
that would be contained in the returned Optional if it had a value.
Args:
value_structure: AStructureobject representing the structure of the components of this optional.
Returns:
An Optional that has no value.