tf.raw_ops.TakeWhileDataset

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

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.TakeWhileDataset

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.

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.
metadata	An optional string. Defaults to "".
name	A name for the operation (optional).

Returns
A Tensor of type variant.