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 a legacy api that is only compatible with eager execution and tf.function if you combine it with tf.compat.v1.keras.utils.track_tf1_style_variables

Please refer to tf.layers model mapping section of the migration guide to learn how to use your TensorFlow v1 model in TF2 with 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

Methods

apply

View source

apply(
    *args, **kwargs
)

get_losses_for

View source

get_losses_for(
    inputs
)

Retrieves losses relevant to a specific set of inputs.

Args
inputs Input tensor or list/tuple of input tensors.

Returns
List of loss tensors of the layer that depend on inputs.

get_updates_for

View source

get_updates_for(
    inputs
)

Retrieves updates relevant to a specific set of inputs.

Args
inputs Input tensor or list/tuple of input tensors.

Returns
List of update ops of the layer that depend on inputs.