o  hd@sddlZddlmZddlmZddlTdZddZddZd ed e j fd d Z d ed e j fd dZ d ej jjfddZddZddZddZddZddZddZddZdS)N)_ConvNd)*cCst||jd<dS)zWCalculate and return the total number of learnable parameters in a given PyTorch model.rN)calculate_parameters parameters total_paramsmxyr k/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/thop/vision/basic_hooks.pycount_parameters srcCs|jt7_dS)zHIncrementally add zero operations to the model's total operations count.N) total_opscalculate_zero_opsrr r r zero_opssrr r c Cs@|d}|jtt|jt|jt|jj|j|jd7_dS)zmCalculate and add the number of convolutional operations (FLOPs) for a ConvNd layer to the model's total ops.r) input_size output_size kernel_sizegroupsbiasN)rcalculate_conv2d_flopslistshapeweightrrrr r r count_convNds rcCsX|d}t|dd|dd}|jt|j|j|7_dS)z]Calculates and updates total operations (FLOPs) for a convolutional layer in a PyTorch model.rNr) torchzerossizenumelrcalculate_convrnelementr)r r r rr r r count_convNd_ver2,s*&r#cCsF|d}t|}t|ddst|ddr|d9}|j|7_dS)ziCalculate and add the FLOPs for a batch normalization layer, including elementwise and affine operations.raffineFelementwise_affinerN)calculate_normr getattrr)r r r flopsr r r count_normalization<s  r)cCs0|d}|}|js|jt|7_dSdS)z]Calculate and update the total operation counts for a PReLU layer using input element number.rN)r trainingrcalculate_relu)r r r nelementsr r r count_preluRs r-cCs$|d}|jtt|j7_dS)zACalculate and update the total operation counts for a ReLU layer.rN)rcalculate_relu_flopsrrrr r r count_relu[sr/cCs:|d}||j}||}|jt||7_dS)zWCalculate and update the total operation counts for a Softmax layer in a PyTorch model.rN)rdimr rcalculate_softmax)r r r nfeatures batch_sizer r r count_softmaxas r4cCs|}|jt|7_dS)znCalculate and update the total number of operations (FLOPs) for an AvgPool layer based on the output elements.N)r rcalculate_avgpool)r r r num_elementsr r r count_avgpooljsr7c Csbttg|djddtg|jdd}t|}|}|jt||7_dS)zmCalculate and update the total operation counts for an AdaptiveAvgPool layer using kernel and element counts.rrN)rdiv DoubleTensorrprodr rcalculate_adaptive_avg)r r r kernel total_addr6r r r count_adap_avgpoolrs8 r>cCsV|jdvrtd|jd|jd7_dS|d}|jt|j|7_dS)zMUpdate total operations counter for upsampling layers based on the mode used.)nearestlinearbilinearbicubiczmode z* is not implemented yet, take it a zero oprN)modeloggingwarningrcalculate_upsampler"rr r r count_upsample{s rGcCs&|j}|}|jt||7_dS)zWCounts total operations for nn.Linear layers using input and output element dimensions.N) in_featuresr rcalculate_linear)r r r total_mulr6r r r count_linearsrK)rDtorch.nnnntorch.nn.modules.convr calc_func multiply_addsrrrTensorrr#modules batchnorm _BatchNormr)r-r/r4r7r>rGrKr r r r s"