U Ph@s^ddlmZddlZddlmZddlmZddlmZdgZ Gdddej j Z dd Z dS) ) annotationsN)softmax) PHLFilter) meshgrid_ijCRFc sFeZdZdZddd d d d d d d d fd d ZdddddZZS)ra Conditional Random Field: Combines message passing with a class compatibility convolution into an iterative process designed to successively minimise the energy of the class labeling. In this implementation, the message passing step is a weighted combination of a gaussian filter and a bilateral filter. The bilateral term is included to respect existing structure within the reference tensor. See: https://arxiv.org/abs/1502.03240 ?@?@Nintfloatztorch.Tensor | None) iterationsbilateral_weightgaussian_weightbilateral_spatial_sigmabilateral_color_sigmagaussian_spatial_sigma update_factorcompatibility_matrixc s>t||_||_||_||_||_||_||_||_ dS)a Args: iterations: the number of iterations. bilateral_weight: the weighting of the bilateral term in the message passing step. gaussian_weight: the weighting of the gaussian term in the message passing step. bilateral_spatial_sigma: standard deviation in spatial coordinates for the bilateral term. bilateral_color_sigma: standard deviation in color space for the bilateral term. gaussian_spatial_sigma: standard deviation in spatial coordinates for the gaussian term. update_factor: determines the magnitude of each update. compatibility_matrix: a matrix describing class compatibility, should be NxN where N is the number of classes. N) super__init__rrrrrrrr) selfrrrrrrrr __class__N/home/dell461/cl/sdc2/HISourceFinder-master-l/src/monai/networks/blocks/crf.pyr&s z CRF.__init__z torch.Tensor) input_tensorreference_tensorc Cst|}tj||j||jgdd}||j}t|dd}t|jD]}t ||}t ||} |j ||j | } |j dk r| jddddd} t| |j } | ddd| j} t||j| dd}qF|S)z Args: input_tensor: tensor containing initial class logits. reference_tensor: the reference tensor used to guide the message passing. Returns: output (torch.Tensor): output tensor. dimN) start_dimr)_create_coordinate_tensortorchcatrrrrrangerrapplyrrrflattenpermutematmulreshapeshaper) rrrZspatial_featuresZbilateral_featuresZgaussian_features output_tensor_Zbilateral_outputZgaussian_outputZcombined_outputflatrrrforwardGs"      z CRF.forward)rrrr r r r N)__name__ __module__ __qualname____doc__rr1 __classcell__rrrrrs"!csVfddtdD}t|}t|jjjd}tjd|gddS)Ncsg|]}t|qSr)r%arangesize).0itensorrr tsz-_create_coordinate_tensor..r")devicedtyperr ) r'r!rr%stacktor>r?r8)r<axesgridscoordsrr;rr$ssr$) __future__rr%torch.nn.functionalrZmonai.networks.layers.filteringrmonai.networks.utilsr__all__nnModulerr$rrrr s    \