hZZSSKrSSKrSSKJr SSKJr SSKJrJrJ r J r J r J r J r JrJrJrJrJr SrSrSrS\S\R,4S jrS\S\R,4S jrS\S\R,4S jrS\R4R6R84S jrS rSrSr Sr!Sr"Sr#Sr$g)N)_ConvNd) calculate_adaptive_avgcalculate_avgpoolcalculate_convcalculate_conv2d_flopscalculate_linearcalculate_normcalculate_parameterscalculate_relucalculate_relu_flopscalculate_softmaxcalculate_upsamplecalculate_zero_opscP[UR55URS'g)zWCalculate and return the total number of learnable parameters in a given PyTorch model.rN)r parameters total_paramsmxys Q/home/james-whalen/.local/lib/python3.13/site-packages/thop/vision/basic_hooks.pycount_parametersrs,Q\\^U=R[5- slg)zHIncrementally add zero operations to the model's total operations count.N) total_opsrrs rzero_opsr sKK%''Krrrc USnU=R[[UR5[UR5[URR5UR UR SS9- slg)mCalculate and add the number of convolutional operations (FLOPs) for a ConvNd layer to the model's total ops.rF input_size output_size kernel_sizegroupsbias transposeNrrlistshapeweightr$r%rs r count_convNdr+%sX !AKK)=M(xx VV Krc USnU=R[[UR5[UR5[URR5UR UR SS9- slg)rrTr Nr'rs r count_convtNdr-;sX !AKK)=M(xx VV Krc@USn[R"UR5SSUR5SS-5R5nU=R[ UR R5URR5U5- slg)z]Calculates and updates total operations (FLOPs) for a convolutional layer in a PyTorch model.rNr) torchzerossizenumelrrr%nelementr*)rrrr"s rcount_convNd_ver2r5Isr !A++affhrlQVVXab\9:@@BKKK>!&&//"3QXX5F5F5H+VVKrcUSn[UR55n[USS5(d[USS5(aUS-nU=RU- slg)ziCalculate and add the FLOPs for a batch normalization layer, including elementwise and affine operations.raffineFelementwise_affiner/N)r r3getattrr)rrrflopss rcount_normalizationr;YsR !A 1779 %Eq(E""ga1Eu&M&M  KK5KrcUSnUR5nUR(dU=R[U5- slgg)z]Calculate and update the total operation counts for a PReLU layer using input element number.rN)r3trainingrr )rrr nelementss r count_prelur?os5 !A I :: ~i00  rcpUSnU=R[[UR55- slg)zACalculate and update the total operation counts for a ReLU layer.rN)rr r(r)rs r count_relurAxs' !AKK'QWW 66KrcUSnUR5URnUR5U-nU=R[ XC5- slg)zWCalculate and update the total operation counts for a Softmax layer in a PyTorch model.rN)r2dimr3rr )rrr nfeatures batch_sizes r count_softmaxrF~sB !AIi'JKK$Z;;Krc`UR5nU=R[U5- slg)znCalculate and update the total number of operations (FLOPs) for an AvgPool layer based on the output elements.N)r3rr)rrr num_elementss r count_avgpoolrIs#779LKK$\22Krc L[R"[R"/USRSSQ5[R"/URSSQ55n[R"U5nUR 5nU=R [XE5- slg)zmCalculate and update the total operation counts for an AdaptiveAvgPool layer using kernel and element counts.rr/N)r0div DoubleTensorr)prodr3rr)rrrkernel total_addrHs rcount_adap_avgpoolrPs YYu))*=QqTZZ^*=>@R@RScVWV]V]^_^`VaSc@d eF 6"I779LKK))BBKrcURS;a:[R"SURS35 U=RS- slgUSnU=R[ URUR 55- slg)zMUpdate total operations counter for upsampling layers based on the mode used.)nearestlinearbilinearbicubic trilinearzmode z* is not implemented yet, take it a zero oprN)modeloggingwarningrrr4rs rcount_upsamplerZsfvv %x'QRS q aD )!&&!**,?? rcxURnUR5nU=R[X45- slg)zWCounts total operations for nn.Linear layers using input and output element dimensions.N) in_featuresr3rr)rrr total_mulrHs r count_linearr^s, I779LKK#I<ris )     = ( G 5<< , W ELL  W W W 2:://:: ,17 <3C @"=r