Performs the average pooling on the input.
tf.compat.v2.nn.avg_pool2d( input, ksize, strides, padding, data_format='NHWC', name=None )
Each entry in output
is the mean of the corresponding size ksize
window in value
.
Args | |
---|---|
input | 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. |
Returns | |
---|---|
A Tensor with the same type as value . The average pooled output tensor. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/nn/avg_pool2d