a óÃÃfã@s°ddlZddlmZddlmZddlTdZdd„Zdd„Zee j d œd d „Z ee j d œd d „Z ej jjdœdd„Zdd„Zdd„Zdd„Zdd„Zdd„Zdd„Zdd„ZdS)éN)Ú_ConvNdé)Ú*cCst| ¡ƒ|jd<dS)zWCalculate and return the total number of learnable parameters in a given PyTorch model.rN)Zcalculate_parametersÚ parametersZ total_params©ÚmÚxÚy©r úS/var/www/html/django/DPS/env/lib/python3.9/site-packages/thop/vision/basic_hooks.pyÚcount_parameters sr cCs|jtƒ7_dS)zHIncrementally add zero operations to the model's total operations count.N)Ú total_opsZcalculate_zero_opsrr r r Úzero_opssr)rr c Cs@|d}|jtt|jƒt|jƒt|jjƒ|j|jd7_dS)zmCalculate and add the number of convolutional operations (FLOPs) for a ConvNd layer to the model's total ops.r)Z input_sizeÚ output_sizeZ kernel_sizeÚgroupsÚbiasN)r Zcalculate_conv2d_flopsÚlistÚshapeÚweightrrrr r r Ú count_convNds ûrcCsX|d}t | ¡dd…| ¡dd…¡ ¡}|jt|j ¡|j ¡|ƒ7_dS)z]Calculates and updates total operations (FLOPs) for a convolutional layer in a PyTorch model.rNré) ÚtorchZzerosÚsizeÚnumelr Zcalculate_convrÚnelementr)rrr rr r r Úcount_convNd_ver2*s*r)rcCsF|d}t| ¡ƒ}t|ddƒs,t|ddƒr4|d9}|j|7_dS)ziCalculate and add the FLOPs for a batch normalization layer, including elementwise and affine operations.rZaffineFZelementwise_affinerN)Zcalculate_normrÚgetattrr )rrr Zflopsr r r Úcount_normalization:s  rcCs,|d}| ¡}|js(|jt|ƒ7_dS)z]Calculate and update the total operation counts for a PReLU layer using input element number.rN)rZtrainingr Zcalculate_relu)rrr Z nelementsr r r Ú count_preluPsrcCs$|d}|jtt|jƒƒ7_dS)zACalculate and update the total operation counts for a ReLU layer.rN)r Zcalculate_relu_flopsrrrr r r Ú count_reluYsrcCs:|d}| ¡|j}| ¡|}|jt||ƒ7_dS)zWCalculate and update the total operation counts for a Softmax layer in a PyTorch model.rN)rÚdimrr Zcalculate_softmax)rrr Z nfeaturesZ batch_sizer r r Ú count_softmax_s r!cCs| ¡}|jt|ƒ7_dS)znCalculate and update the total number of operations (FLOPs) for an AvgPool layer based on the output elements.N)rr Zcalculate_avgpool)rrr Ú num_elementsr r r Ú count_avgpoolhsr#c Csbt t g|djdd…¢¡t g|jdd…¢¡¡}t |¡}| ¡}|jt||ƒ7_dS)zmCalculate and update the total operation counts for an AdaptiveAvgPool layer using kernel and element counts.rrN)rÚdivZ DoubleTensorrÚprodrr Zcalculate_adaptive_avg)rrr ZkernelZ total_addr"r r r Úcount_adap_avgpoolps8 r&cCsT|jdvr.t d|j›d¡|jd7_n"|d}|jt|j| ¡ƒ7_dS)zMUpdate total operations counter for upsampling layers based on the mode used.)ZnearestZlinearZbilinearZbicubiczmode z* is not implemented yet, take it a zero oprN)ÚmodeÚloggingÚwarningr Zcalculate_upsamplerrr r r Úcount_upsampleys  r*cCs&|j}| ¡}|jt||ƒ7_dS)zWCounts total operations for nn.Linear layers using input and output element dimensions.N)Z in_featuresrr Zcalculate_linear)rrr Z total_mulr"r r r Ú count_linear‰sr+)r(Ztorch.nnÚnnZtorch.nn.modules.convrZ calc_funcZ multiply_addsr rrZTensorrrÚmodulesZ batchnormZ _BatchNormrrrr!r#r&r*r+r r r r Ús