a  d @sddlmZddlZddlmZddlmZddlmZmZeee eeeeeeefdddZ eeee ed d d Z deee ed ddZ dS))TupleN)Tensor)_uniform_filter)_rmse_sw_compute_rmse_sw_update)predstarget window_sizermse_map target_sum total_imagesreturncCsDt|||d||d\}}}|tjt|||ddd7}|||fS)aCalculate the sum of RMSE map values for the batch of examples and update intermediate states. Args: preds: Deformed image target: Ground truth image window_size: Sliding window used for RMSE calculation rmse_map: Sum of RMSE map values over all examples target_sum: target... total_images: Total number of images Return: Intermediate state of RMSE map Updated total number of already processed images NZ rmse_val_sumr r r)Zdim)rtorchsumr)rrr r r r _rk/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/torchmetrics/functional/image/rase.py _rase_updates   r)r r r r r cCsltd||d\}}||}|d}d|tt|dd}t|d}t||| || fS)aCompute RASE. Args: rmse_map: Sum of RMSE map values over all examples target_sum: target... total_images: Total number of images. window_size: Sliding window used for rmse calculation Return: Relative Average Spectral Error (RASE) Nrrdr)rmeanrsqrtround)r r r r rZ target_meanZrase_mapZ crop_sliderrr _rase_compute1s   r)rrr r cCst|trt|tr$|dkr$td|jdd}tj||j|jd}tj||j|jd}tjd|jd}t ||||||\}}}t ||||S)aCompute Relative Average Spectral Error (RASE) (RelativeAverageSpectralError_). Args: preds: Deformed image target: Ground truth image window_size: Sliding window used for rmse calculation Return: Relative Average Spectral Error (RASE) Example: >>> from torchmetrics.functional.image import relative_average_spectral_error >>> g = torch.manual_seed(22) >>> preds = torch.rand(4, 3, 16, 16) >>> target = torch.rand(4, 3, 16, 16) >>> relative_average_spectral_error(preds, target) tensor(5114.6641) Raises: ValueError: If ``window_size`` is not a positive integer. zs