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.

Args:

  • input_dataset: A Tensor of type variant.
  • other_arguments: A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for predicate.
  • predicate: A function decorated with @Defun. A function returning a scalar boolean.
  • output_types: A list of tf.DTypes that has length >= 1.
  • output_shapes: A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.