tf.compat.v1.layers.AveragePooling2D

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

Inherits From: AveragePooling2D, Layer, Layer, Module

tf.compat.v1.layers.AveragePooling2D(
    pool_size,
    strides,
    padding='valid',
    data_format='channels_last',
    name=None,
    **kwargs
)

Migrate to TF2

This API is not compatible with eager execution or tf.function.

Please refer to tf.layers section of the migration guide to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2 layer is tf.keras.layers.AveragePooling2D.

Structural Mapping to Native TF2

None of the supported arguments have changed name.

Before:

 pooling = tf.compat.v1.layers.AveragePooling2D(pool_size=2, strides=2)

After:

 pooling = tf.keras.layers.AveragePooling2D(pool_size=2, strides=2)

Description

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.

graph

scope_name