description: Creates a dataset that stops iteration when predicate is false.

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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:

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.