tf.compat.v1.nn.avg_pool | TensorFlow v2.16.1 (original) (raw)

tf.compat.v1.nn.avg_pool

Stay organized with collections Save and categorize content based on your preferences.

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='NHWC',
    name=None,
    input=None
)

Used in the tutorials
Generating Images with BigBiGAN

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

Args
value	A 4-D Tensor of shape [batch, height, width, channels] and typefloat32, 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 2024-04-26 UTC.