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. |
© 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/ExperimentalGroupByWindowDataset