o .wi @sddlZddlmZddlmZddlmZdededejdejd ef d d Z d ed eded efddZ dd ed eded efddZ dS)N)Tensor)conv2d)reducewin_sizesigmadtypedevicereturncCs^tj|||d|dd}|d}t|d|d d|d}|t|}|S)Nrrr@)torcharangeexp unsqueezesum)rrrrcoordsgr^/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/torchmetrics/functional/image/vif.py_filters (rpredstarget sigma_n_sqcCsR|j}|j}|d}|d}tjd||d}tj|||d}tjd||dtjd||d}}tdD]}dd|d} t| | d||dddddf} |dkr~t|| ddddddddddf}t|| ddddddddddf}t|| } t|| } | d} | d}| | }tj t|d| | d d }tj t|d| |d d }t||| |}|||}|||}||k}d||<||||<d||<||k}d||<d||<|dk}||||<d||<tj ||d }t d |d|||}|tj |gd d }|tj t d ||gd d }q5||S)Nr g|=r r rr g)ming?)r r )dim) rrrrtensorzerosrangerrclamplog10r)rrrrreps preds_vif target_vifscalenkernel mu_targetmu_preds mu_target_sq mu_preds_sqmu_target_predssigma_target_sqsigma_preds_sqsigma_target_predsr sigma_v_sqmaskpreds_vif_scalerrr_vif_per_channel!sL  " "**      &r6r csddksddkrtdddddddks-ddkr>tdddddfdd td D}tt|d S) aCompute Pixel Based Visual Information Fidelity (VIF_). Args: preds: predicted images of shape ``(N,C,H,W)``. ``(H, W)`` has to be at least ``(41, 41)``. target: ground truth images of shape ``(N,C,H,W)``. ``(H, W)`` has to be at least ``(41, 41)`` sigma_n_sq: variance of the visual noise Return: Tensor with vif-p score Raises: ValueError: If ``data_range`` is neither a ``tuple`` nor a ``float`` )z8Invalid size of preds. Expected at least 41x41, but got x!z9Invalid size of target. Expected at least 41x41, but got c sHg|] }tdd|ddddfdd|ddddfqS)N)r6).0irrrrr rsHz/visual_information_fidelity..r elementwise_mean)size ValueErrorr"rrcat)rrr per_channelrr>rvisual_information_fidelityVs" rE)r ) rrtorch.nn.functionalr"torchmetrics.utilities.distributedrfloatrrrr6rErrrrs   " 5