tf.experimental.Optional

Represents a value that may or may not be present.

A tf.experimental.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.Iterator.get_next_as_optional() returns a tf.experimental.Optional that either contains the next element of an iterator if one exists, or an "empty" value that indicates the end of the sequence has been reached.

tf.experimental.Optional can only be used with values that are convertible to tf.Tensor or tf.CompositeTensor.

One can create a tf.experimental.Optional from a value using the from_value() method:

optional = tf.experimental.Optional.from_value(42)
print(optional.has_value())
tf.Tensor(True, shape=(), dtype=bool)
print(optional.get_value())
tf.Tensor(42, shape=(), dtype=int32)

or without a value using the empty() method:

optional = tf.experimental.Optional.empty(
  tf.TensorSpec(shape=(), dtype=tf.int32, name=None))
print(optional.has_value())
tf.Tensor(False, shape=(), dtype=bool)
Attributes
element_spec The type specification of an element of this optional.
optional = tf.experimental.Optional.from_value(42)
print(optional.element_spec)
tf.TensorSpec(shape=(), dtype=tf.int32, name=None)

Methods

empty

View source

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.
optional = tf.experimental.Optional.empty(
  tf.TensorSpec(shape=(), dtype=tf.int32, name=None))
print(optional.has_value())
tf.Tensor(False, shape=(), dtype=bool)
Args
element_spec A nested structure of tf.TypeSpec objects matching the structure of an element of this optional.
Returns
A tf.experimental.Optional with no value.

from_value

View source

Returns a tf.experimental.Optional that wraps the given value.

optional = tf.experimental.Optional.from_value(42)
print(optional.has_value())
tf.Tensor(True, shape=(), dtype=bool)
print(optional.get_value())
tf.Tensor(42, shape=(), dtype=int32)
Args
value A value to wrap. The value must be convertible to tf.Tensor or tf.CompositeTensor.
Returns
A tf.experimental.Optional that wraps value.

get_value

View source

Returns the value 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.

optional = tf.experimental.Optional.from_value(42)
print(optional.get_value())
tf.Tensor(42, shape=(), dtype=int32)
Args
name (Optional.) A name for the created operation.
Returns
The wrapped value.

has_value

View source

Returns a tensor that evaluates to True if this optional has a value.

optional = tf.experimental.Optional.from_value(42)
print(optional.has_value())
tf.Tensor(True, shape=(), dtype=bool)
Args
name (Optional.) A name for the created operation.
Returns
A scalar tf.Tensor of type tf.bool.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/experimental/Optional