Creates a dataset that stops iteration when predicate` is false.
tf.raw_ops.TakeWhileDataset(
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.
|