Docs4dev
Docs
tensorflow / 2.9 / raw_ops / experimentalgroupbywindowdataset.html

tf.raw_ops.ExperimentalGroupByWindowDataset

Creates a dataset that computes a windowed group-by on input_dataset.

tf.raw_ops.ExperimentalGroupByWindowDataset(
    input_dataset,
    key_func_other_arguments,
    reduce_func_other_arguments,
    window_size_func_other_arguments,
    key_func,
    reduce_func,
    window_size_func,
    output_types,
    output_shapes,
    name=None
)

//

Args
input_dataset A Tensor of type variant.
key_func_other_arguments A list of Tensor objects.
reduce_func_other_arguments A list of Tensor objects.
window_size_func_other_arguments A list of Tensor objects.
key_func A function decorated with @Defun. A function mapping an element of input_dataset, concatenated with key_func_other_arguments to a scalar value of type DT_INT64.
reduce_func A function decorated with @Defun.
window_size_func A function decorated with @Defun.
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.

© 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/ExperimentalGroupByWindowDataset