tf.compat.v1.layers.average_pooling2d

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

tf.compat.v1.layers.average_pooling2d(
    inputs, pool_size, strides, padding='valid',
    data_format='channels_last', name=None
)

Args
`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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Last updated 2021-05-14 UTC.

Args