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, 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. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A list of Tensor objects of type output_types. |
© 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/ReduceDataset