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tf.raw_ops.ReduceDataset

Reduces the input dataset to a singleton using a reduce function.

tf.raw_ops.ReduceDataset(
    input_dataset,
    initial_state,
    other_arguments,
    f,
    output_types,
    output_shapes,
    use_inter_op_parallelism=True,
    metadata='',
    name=None
)
Args
input_dataset A Tensor of type variant. A variant tensor representing the input dataset.
initial_state A list of Tensor objects. A nested structure of tensors, representing the initial state of the transformation.
other_arguments A list of Tensor objects.
f A function decorated with @Defun. A function that maps (old_state, input_element) to new_state. It must take two arguments and return a nested structures of tensors. The structure of new_state must match the structure of initial_state.
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.
use_inter_op_parallelism An optional bool. Defaults to True.
metadata An optional string. Defaults to "".
name A name for the operation (optional).
Returns
A list of Tensor objects of type output_types.

© 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/ReduceDataset