tf.compat.v1.nn.avg_pool
Performs the average pooling on the input.
tf.compat.v1.nn.avg_pool(
value, ksize, strides, padding, data_format='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. |
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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/r2.3/api_docs/python/tf/compat/v1/nn/avg_pool