tfg.image.pyramid.upsample

Generates the different levels of the pyramid (upsampling).

tfg.image.pyramid.upsample(
    image: type_alias.TensorLike,
    num_levels: int,
    name: str = 'pyramid_upsample'
) -> List[tf.Tensor]

image A tensor of shape [B, H, W, C], where B is the batch size, H the height of the image, W the width of the image, and C the number of channels of the image.
num_levels The number of levels to generate.
name A name for this op that defaults to "pyramid_upsample".

A list containing num_levels tensors of shape [B, H_i, W_i, C], where H_i and W_i are the height and width of the upsampled image for the level i.

ValueError If the shape of image is not supported.