tf.raw_ops.ExperimentalTakeWhileDataset

Creates a dataset that stops iteration when predicate` is false.

tf.raw_ops.ExperimentalTakeWhileDataset(
    input_dataset,
    other_arguments,
    predicate,
    output_types,
    output_shapes,
    name=None
)

The predicate function must return a scalar boolean and accept the following arguments:

  • One tensor for each component of an element of input_dataset.
  • One tensor for each value in other_arguments.

input_datasetA Tensor of type variant.
other_argumentsA list of Tensor objects. A list of tensors, typically values that were captured when building a closure for predicate.
predicateA function decorated with @Defun. A function returning a scalar boolean.
output_typesA list of tf.DTypes that has length >= 1.
output_shapesA list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
nameA name for the operation (optional).

A Tensor of type variant.