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/TensorFlow 2.4

tf.raw_ops.ExperimentalGroupByWindowDataset

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

//

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.

© 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/r2.4/api_docs/python/tf/raw_ops/ExperimentalGroupByWindowDataset