tf.raw_ops.FilterDataset
Creates a dataset containing elements of input_dataset matching predicate.
tf.raw_ops.FilterDataset(
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/FilterDataset