tf.compat.v1.layers.AveragePooling1D

Average Pooling layer for 1D inputs.

Inherits From: AveragePooling1D, Layer, Layer, Module

tf.compat.v1.layers.AveragePooling1D(
    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.AveragePooling1D.

Structural Mapping to Native TF2

None of the supported arguments have changed name.

Before:

 pooling = tf.compat.v1.layers.AveragePooling1D(pool_size=2, strides=2)

After:

 pooling = tf.keras.layers.AveragePooling1D(pool_size=2, strides=2)

Description

pool_size An integer or tuple/list of a single integer, representing the size of the pooling window.
strides An integer or tuple/list of a single integer, specifying the strides of the pooling operation.
padding A string. The padding method, either 'valid' or 'same'. Case-insensitive.
data_format A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, length, channels) while channels_first corresponds to inputs with shape (batch, channels, length).
name A string, the name of the layer.

graph

scope_name