tf.compat.v1.layers.average_pooling2d

Average pooling layer for 2D inputs (e.g. images). (deprecated)

Arguments
inputs The tensor over which to pool. Must have rank 4.
pool_size An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions.
strides An integer or tuple/list of 2 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions.
padding A string. The padding method, either 'valid' or 'same'. Case-insensitive.
data_format A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width).
name A string, the name of the layer.
Returns
Output tensor.
Raises
ValueError if eager execution is enabled.

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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/layers/average_pooling2d