tf.nn.avg_pool1d
Performs the average pooling on the input.
tf.nn.avg_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Each entry in output is the mean of the corresponding size ksize window 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. See the "returns" section of tf.nn.convolution for details. |
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. |
© 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/nn/avg_pool1d