tf.layers.average_pooling2d

tf.layers.average_pooling2d(
    inputs,
    pool_size,
    strides,
    padding='valid',
    data_format='channels_last',
    name=None
)

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

Average pooling layer for 2D inputs (e.g. images).

Arguments:

• inputs: The tensor over which to pool. Must have rank 4.
• pool_size: An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions.
• strides: An integer or tuple/list of 2 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions.
• padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive.
• data_format: A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width).
• name: A string, the name of the layer.

Returns:

Output tensor.

Raises:

• ValueError: if eager execution is enabled.