U ʹjI"@s2dZddlZddlmZddlmZmZddlmZm Z m Z ddl m Z ddl mZmZdd lmZGd d d ejZGd d d ejZd$ddZd%ddZeeddeddeeddedddZed&edddZed'edddZed(edddZed)edd d!Zed*edd"d#ZdS)+a Selective Kernel Networks (ResNet base) Paper: Selective Kernel Networks (https://arxiv.org/abs/1903.06586) This was inspired by reading 'Compounding the Performance Improvements...' (https://arxiv.org/abs/2001.06268) and a streamlined impl at https://github.com/clovaai/assembled-cnn but I ended up building something closer to the original paper with some modifications of my own to better balance param count vs accuracy. Hacked together by / Copyright 2020 Ross Wightman N)nnIMAGENET_DEFAULT_MEANIMAGENET_DEFAULT_STD)SelectiveKernel ConvNormAct create_attn)build_model_with_cfg)register_modelgenerate_default_cfgs)ResNetcsReZdZdZddddddddejejddddffdd ZddZdd Z Z S) SelectiveKernelBasicr N@cstt||pi}t| | d}|dks2td|dksBtd||}||j}| pZ| } t||f|| ||d|||_t||fd| dd ||_ t | ||_ | d d |_ ||_ ||_dS) N act_layer norm_layerr z)BasicBlock only supports cardinality of 1rz0BasicBlock doest not support changing base width)stridedilationaa_layer drop_layerF) kernel_sizer apply_actTZinplace)superr__init__dictAssertionError expansionrconv1rconv2rseact downsample drop_path)selfinplanesplanesrr$ cardinality base_width sk_kwargs reduce_firstrfirst_dilationrr attn_layerr drop_blockr% conv_kwargs first_planes outplanes __class__P/var/www/html/bwave/python/venv/lib/python3.8/site-packages/timm/models/sknet.pyrsD    zSelectiveKernelBasic.__init__cCs*t|jjdddk r&tj|jjjdSNweight)getattrr!bnrinitzeros_r8r&r5r5r6zero_init_last@sz#SelectiveKernelBasic.zero_init_lastcCsj|}||}||}|jdk r,||}|jdk r@||}|jdk rT||}||7}||}|SN)r r!r"r%r$r#r&xZshortcutr5r5r6forwardDs         zSelectiveKernelBasic.forward __name__ __module__ __qualname__rrZReLUZ BatchNorm2drr>rB __classcell__r5r5r3r6rs$'rcsReZdZdZddddddddejejddddffdd ZddZd d Z Z S) SelectiveKernelBottleneckr Nrcstt||pi}t| | d}tt||d|}||}||j}| pT| } t||fddi||_ t ||f|| |||d|||_ t||fddd||_ t | ||_| dd |_||_||_dS) Nrrrr )rrgroupsrrF)rrTr)rrHrrintmathfloorrrr rr!conv3rr"r#r$r%)r&r'r(rr$r)r*r+r,rr-rrr.rr/r%r0widthr1r2r3r5r6rVs4    z"SelectiveKernelBottleneck.__init__cCs*t|jjdddk r&tj|jjjdSr7)r9rNr:rr;r<r8r=r5r5r6r>|sz(SelectiveKernelBottleneck.zero_init_lastcCst|}||}||}||}|jdk r6||}|jdk rJ||}|jdk r^||}||7}||}|Sr?)r r!rNr"r%r$r#r@r5r5r6rBs          z!SelectiveKernelBottleneck.forwardrCr5r5r3r6rHSs$&rHFcKstt||f|Sr?)r r )variant pretrainedkwargsr5r5r6_create_skresnetsrSc Ks|dddddttddd |S) Ni)rrU)rVg?Zbicubicr fc) urlZ num_classesZ input_sizeZ pool_sizeZcrop_pct interpolationZmeanZstd first_conv classifierr)rXrRr5r5r6_cfgsr\ztimm/)Z hf_hub_idzconv1.0)rZ)zskresnet18.ra_in1kzskresnet34.ra_in1kzskresnet50.untrainedzskresnet50d.untrainedzskresnext50_32x4d.ra_in1k)returncKsBtdddd}tftddddgt|ddd|}td |f|S) zConstructs a Selective Kernel ResNet-18 model. Different from configs in Select Kernel paper or "Compounding the Performance Improvements..." this variation splits the input channels to the selective convolutions to keep param count down. ?TZrd_ratioZ rd_divisor split_inputr+Fblocklayers block_argsr> skresnet18rrrSrQrRr+Z model_argsr5r5r6rhs rhcKsBtdddd}tftddddgt|dd d |}td |f|S) zConstructs a Selective Kernel ResNet-34 model. Different from configs in Select Kernel paper or "Compounding the Performance Improvements..." this variation splits the input channels to the selective convolutions to keep param count down. r^r_Tr`rrIrcFrd skresnet34rirjr5r5r6rls rlcKs>tdd}tftddddgt|ddd|}td |f|S) zConstructs a Select Kernel ResNet-50 model. Different from configs in Select Kernel paper or "Compounding the Performance Improvements..." this variation splits the input channels to the selective convolutions to keep param count down. TrarrIrkrcFrd skresnet50rrHrSrjr5r5r6rns  rnc KsDtdd}tftddddgdddt|dd d |}td |f|S) zConstructs a Select Kernel ResNet-50-D model. Different from configs in Select Kernel paper or "Compounding the Performance Improvements..." this variation splits the input channels to the selective convolutions to keep param count down. TrmrrIrk deeprcF)rerfZ stem_widthZ stem_typeZavg_downrgr> skresnet50drorjr5r5r6rrs  rrc KsFtdddd}tftddddgddt|ddd |}td |f|S) zConstructs a Select Kernel ResNeXt50-32x4d model. This should be equivalent to the SKNet-50 model in the Select Kernel Paper g?rpFr`rrIrkrc)rerfr)r*rgr>skresnext50_32x4drorjr5r5r6rss rs)F)rT)F)F)F)F)F)__doc__rLZtorchrZ timm.datarrZ timm.layersrrrZ_builderr _registryr r Zresnetr ModulerrHrSr\Z default_cfgsrhrlrnrrrsr5r5r5r6s<    ==