tf.raw_ops.TakeWhileDataset

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

tf.raw_ops.TakeWhileDataset(
    input_dataset,
    other_arguments,
    predicate,
    output_types,
    output_shapes,
    metadata='',
    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_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. metadata An optional string. Defaults to "". name A name for the operation (optional).