DigRddlZddlZddlmZddlmZddlmZmZm Z m Z m Z m Z m Z mZmZmZmZmZdZdZdZdedej,fd Zdedej,fd Zdedej,fd Zdej4j6j8fd Zd ZdZdZ dZ!dZ"dZ#dZ$y)N)_ConvNd) calculate_adaptive_avgcalculate_avgpoolcalculate_convcalculate_conv2d_flopscalculate_linearcalculate_normcalculate_parameterscalculate_relucalculate_relu_flopscalculate_softmaxcalculate_upsamplecalculate_zero_opscTt|jd|jd<y)zWCalculate and return the total number of learnable parameters in a given PyTorch model.F)recurserN)r parameters total_paramsmxys Y/var/www/pod-logistic/pod-ai/venv/lib/python3.12/site-packages/thop/vision/basic_hooks.pycount_parametersrs ,Q\\%\-HIANN1c>|xjtz c_y)zHIncrementally add zero operations to the model's total operations count.N) total_opsrrs rzero_opsr sKK%''Krrrc |d}|xjtt|jt|jt|jj|j |j dz c_y)mCalculate and add the number of convolutional operations (FLOPs) for a ConvNd layer to the model's total ops.rF input_size output_size kernel_sizegroupsbias transposeNrrlistshapeweightr%r&rs r count_convNdr,%sX !AKK)=M(xx VV Krc |d}|xjtt|jt|jt|jj|j |j dz c_y)r rTr!Nr(rs r count_convtNdr.;sX !AKK)=M(xx VV Krc>|d}tj|jdd|jddzj}|xjt |j j|jj|z c_y)z]Calculates and updates total operations (FLOPs) for a convolutional layer in a PyTorch model.rNr) torchzerossizenumelrrr&nelementr+)rrrr#s rcount_convNd_ver2r6Isr !A++affhrlQVVXab\9:@@BKKK>!&&//"3QXX5F5F5H+VVKrc|d}t|j}t|dds t|ddr|dz}|xj|z c_y)ziCalculate and add the FLOPs for a batch normalization layer, including elementwise and affine operations.raffineFelementwise_affiner0N)r r4getattrr)rrrflopss rcount_normalizationr<YsL !A 1779 %Eq(E"ga1Eu&M  KK5Krc|d}|j}|js|xjt|z c_yy)z]Calculate and update the total operation counts for a PReLU layer using input element number.rN)r4trainingrr )rrr nelementss r count_prelur@os5 !A I :: ~i00  rcp|d}|xjtt|jz c_y)zACalculate and update the total operation counts for a ReLU layer.rN)rr r)r*rs r count_relurBxs' !AKK'QWW 66Krc|d}|j|j}|j|z}|xjt ||z c_y)zWCalculate and update the total operation counts for a Softmax layer in a PyTorch model.rN)r3dimr4rr )rrr nfeatures batch_sizes r count_softmaxrG~sD !AIi'JKK$Z;;Krc`|j}|xjt|z c_y)znCalculate and update the total number of operations (FLOPs) for an AvgPool layer based on the output elements.N)r4rr)rrr num_elementss r count_avgpoolrJs#779LKK$\22Krc Ftjtjg|djddtjg|jdd}tj|}|j }|xj t||z c_y)zmCalculate and update the total operation counts for an AdaptiveAvgPool layer using kernel and element counts.rr0N)r1div DoubleTensorr*prodr4rr)rrrkernel total_addrIs rcount_adap_avgpoolrQs YYu))*=QqTZZ^*=>@R@RScVWV]V]^_^`VaSc@d eF 6"I779LKK))\BBKrc |jdvr9tjd|jd|xjdz c_y|d}|xjt |j|j z c_y)zMUpdate total operations counter for upsampling layers based on the mode used.)nearestlinearbilinearbicubic trilinearzmode z* is not implemented yet, take it a zero oprN)modeloggingwarningrrr5rs rcount_upsampler[sfvv %x'QRS q aD )!&&!**,?? rcz|j}|j}|xjt||z c_y)zWCounts total operations for nn.Linear layers using input and output element dimensions.N) in_featuresr4rr)rrr total_mulrIs r count_linearr_s. I779LKK#I|<rjs )     J ( G 5<< , W ELL  W W W 2:://:: ,17 <3C @"=r