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 . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/FilterDataset