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.

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).

A Tensor of type variant.