description: Global average pooling operation for temporal data.

tf.keras.layers.GlobalAveragePooling1D

Global average pooling operation for temporal data.

Inherits From: Layer, Module

Main aliases

tf.keras.layers.GlobalAvgPool1D

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.GlobalAveragePooling1D, tf.compat.v1.keras.layers.GlobalAvgPool1D

tf.keras.layers.GlobalAveragePooling1D(
    data_format='channels_last', **kwargs
)

>>> input_shape = (2, 3, 4)
>>> x = tf.random.normal(input_shape)
>>> y = tf.keras.layers.GlobalAveragePooling1D()(x)
>>> print(y.shape)
(2, 4)

Arguments
`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, steps, features)` while `channels_first` corresponds to inputs with shape `(batch, features, steps)`.

inputs: A 3D tensor.
mask: Binary tensor of shape (batch_size, steps) indicating whether a given step should be masked (excluded from the average).

If data_format='channels_last': 3D tensor with shape: (batch_size, steps, features)
If data_format='channels_first': 3D tensor with shape: (batch_size, features, steps)

2D tensor with shape (batch_size, features).

Arguments