tf.layers.average_pooling1d

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

Defined in tensorflow/python/layers/pooling.py.

Average Pooling layer for 1D inputs.

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.