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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,
    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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/FilterDataset