tf.compat.v1.layers.average_pooling1d

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Average Pooling layer for 1D inputs. (deprecated)

tf.compat.v1.layers.average_pooling1d(
    inputs, pool_size, strides, padding='valid', data_format='channels_last',
    name=None
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use keras.layers.AveragePooling1D instead.

Arguments:

• inputs: The tensor over which to pool. Must have rank 3.
• 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.

Returns:

The output tensor, of rank 3.

Raises:

• ValueError: if eager execution is enabled.