tf.compat.v1.nn.avg_pool

Performs the average pooling on the input.

Compat aliases for migration

tf.compat.v1.nn.avg_pool2d

tf.compat.v1.nn.avg_pool(
    value,
    ksize,
    strides,
    padding,
    data_format=&#x27;NHWC',
    name=None,
    input=None
)

Each entry in output is the mean of the corresponding size ksize window in value.

Args
`value`	A 4-D `Tensor` of shape `[batch, height, width, channels]` and type `float32`, `float64`, `qint8`, `quint8`, or `qint32`.
`ksize`	An int or list of `ints` that has length `1`, `2` or `4`. The size of the window for each dimension of the input tensor.
`strides`	An int or list of `ints` that has length `1`, `2` or `4`. 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`	A string. 'NHWC' and 'NCHW' are supported.
`name`	Optional name for the operation.
`input`	Alias for value.

Returns
A `Tensor` with the same type as `value`. The average 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 2022-11-04 UTC.

Args