tf.keras.layers.GlobalAveragePooling1D

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Global average pooling operation for temporal data.

Inherits From: Layer, Module

View aliases

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
)

Examples:

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).

Call arguments:

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

Input shape:

• 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)

Output shape:

2D tensor with shape (batch_size, features).