tf.nn.avg_pool1d | TensorFlow v2.16.1 (original) (raw)
tf.nn.avg_pool1d
Stay organized with collections Save and categorize content based on your preferences.
Performs the average pooling on the input.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.nn.avg_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Each entry in output is the mean of the corresponding size ksizewindow in value.
Note internally this op reshapes and uses the underlying 2d operation.
| Args | |
|---|---|
| input | A 3-D Tensor of the format specified by data_format. |
| ksize | An int or list of ints that has length 1 or 3. The size of the window for each dimension of the input tensor. |
| strides | An int or list of ints that has length 1 or 3. The stride of the sliding window for each dimension of the input tensor. |
| padding | A string, either 'VALID' or 'SAME'. The padding algorithm. Seeherefor more information. |
| data_format | An optional string from: "NWC", "NCW". Defaults to "NWC". |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of format specified by data_format. The max pooled output tensor. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.