QЦiSn SSKrSSKJr SSKJrJrJrJr SSKrSSKJ r SSK J r J r /SQrS\ S \S \S \ S \\\4 S jr"SS\5r"SS\R&R(5r"SS\R&R(5r"SS\R&R(5r"SS\R&R(5rg)N)Enum)DictListOptionalTuple)Tensor) functionalInterpolationMode)AutoAugmentPolicy AutoAugment RandAugmentTrivialAugmentWideAugMiximgop_name magnitude interpolationfillc US:XaK[R"USSS/S[R"[R"U55S/UUSS/S9nU$US:XaK[R"USSS/SS[R"[R"U55/UUSS/S9nU$US:Xa)[R"US[ U5S/SUSS/US9nU$US :Xa)[R"USS[ U5/SUSS/US9nU$US :Xa[R "XX4S 9nU$US :Xa[R"USU-5nU$US :Xa[R"USU-5nU$US:Xa[R"USU-5nU$US:Xa[R"USU-5nU$US:Xa"[R"U[ U55nU$US:Xa[R"X5nU$US:Xa[R"U5nU$US:Xa[R"U5nU$US:Xa[R"U5nU$US:XaU$[!SUS35e)NShearXr?)angle translatescaleshearrrcenterShearY TranslateX)rrrrrr TranslateYRotaterr BrightnessColorContrast Sharpness PosterizeSolarize AutoContrastEqualizeInvertIdentityzThe provided operator  is not recognized.)Faffinemathdegreesatanintrotateadjust_brightnessadjust_saturationadjust_contrastadjust_sharpness posterizesolarize autocontrastequalizeinvert ValueError)rrrrrs a/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torchvision/transforms/autoaugment.py _apply_oprA s(hh !f<< ) 45s;'q6  F Js H hh !f TYYy%9:;'q6  l JY L hh 9~q)'* V JE L hh #i.)'* B J1 H hhs]N. J- L !!#sY7* J) G !!#sY7& J% J S9_5" J! K   cIo6 J K kk#s9~. J J jj( J N "nnS! J J jjo J H hhsm J J   J1':MNOOc$\rSrSrSrSrSrSrSrg)r ]zgAutoAugment policies learned on different datasets. Available policies are IMAGENET, CIFAR10 and SVHN. imagenetcifar10svhnN) __name__ __module__ __qualname____firstlineno____doc__IMAGENETCIFAR10SVHN__static_attributes__rHrBr@r r ]sHG DrBr c @^\rSrSrSr\R \RS4S\S\S\ \ \ SS4U4Sjjjr S\S\ \ \ \\ \ \4\ \\ \ \444S jrS \S \ \\4S\\\ \\444S jr\S \S\ \\\44Sj5rS\S\4SjrS\4SjrSrU=r$)r ha AutoAugment data augmentation method based on `"AutoAugment: Learning Augmentation Strategies from Data" `_. If the image is torch Tensor, it should be of type torch.uint8, and it is expected to have [..., 1 or 3, H, W] shape, where ... means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode "L" or "RGB". Args: policy (AutoAugmentPolicy): Desired policy enum defined by :class:`torchvision.transforms.autoaugment.AutoAugmentPolicy`. Default is ``AutoAugmentPolicy.IMAGENET``. interpolation (InterpolationMode): Desired interpolation enum defined by :class:`torchvision.transforms.InterpolationMode`. Default is ``InterpolationMode.NEAREST``. If input is Tensor, only ``InterpolationMode.NEAREST``, ``InterpolationMode.BILINEAR`` are supported. fill (sequence or number, optional): Pixel fill value for the area outside the transformed image. If given a number, the value is used for all bands respectively. Npolicyrrreturncr>[TU]5 XlX lX0lUR U5UlgN)super__init__rTrr _get_policiespolicies)selfrTrr __class__s r@rYAutoAugment.__init__ys2  * **62 rBcU[R:Xa/SQ$U[R:Xa/SQ$U[R:Xa/SQ$[ SUS35e)N)))r(皙?)r"333333? )r)rbr*rbNr+皙?Nr+rbN))r(rb)r(rbr+r`N)r)皙?)rnr"rira))r)rbrj))r(rirer+rN))r"rorr)r)rbra)rj)r(r`rl)rqr%r`r))r"r`rcrj))r+rNrhr,rbNrs)r%rbrp)r&rra)rq)r%r))r%rira)r)rirk))r'r`rkrv))rrbrers)rtrjrmrdrurwrg))r,皙?N)r&rorl))r"ffffff?rx)r 333333?rc))r'rir )r'?rr))r?rar!r{rc))r*r~Nr+r}N))rrork)r(r|rk))r%r`rr)r$rbrk))r'r|rc)r$r{rc)rj)r+r~N))r&rbrk)r'rbre))r%r{rk)r r~ra))r+r|N)r*r`N))r!r`rr)r'rorl))r$r}rl)r%rora))r)r~rx)r,rN)r+roNrf)rrj))r%r}rcrj)r*riN)r)rora))r$rzrr)r%r{r))r)r`rer*r}N))r!r}rcr)r)r)rirr)rhry)rr))rr}rp)r,roN)rr}rar,r{N)rj)r)rbrlr,r}Nrjrj)r"r}rr)rr)r)r,r`N))rr}re)r)rorl)rrr)r)r)r|rr))rrirar)r)r!rbrlr))r&r|rrr"rirp)r,riN)r!rrx))rr{rl)r)r`ra)rvr))rr|rk)r r}rr))rrzrlrv))r)r{rx)r!rbrk))rrirpr))rr{rc)r!rirr))rrire)r*r{N))rr{rxryzThe provided policy r.)r rNrOrPr?)r\rTs r@rZAutoAugment._get_policiessk &// / 6(00 0 6(-- - 83F8;NOP PrBnum_bins image_sizec[R"SSU5S4[R"SSU5S4[R"SSUS-U5S4[R"SSUS-U5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4S [R"U5US- S - - R5R 5- S 4[R"S SU5S 4[R "S5S 4[R "S5S 4[R "S5S 4S .$)Nrr|Tt?r r>@r}rarpFo@)rrr r!r"r$r%r&r'r(r)r*r+r,)torchlinspacearangeroundr4tensorr\rrs r@_augmentation_spaceAutoAugment._augmentation_spaces^~~c394@~~c394@ >>#}z!}/LhWY]^ >>#}z!}/LhWY]^~~c4:DA >>#sH=tDnnS#x8$?S(;TB..c8$>+<+D+D&* 3! 3) 3tE{# 3  3 3XQ'XQ eE#uhsm34eCQT `_. If the image is torch Tensor, it should be of type torch.uint8, and it is expected to have [..., 1 or 3, H, W] shape, where ... means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode "L" or "RGB". Args: num_ops (int): Number of augmentation transformations to apply sequentially. magnitude (int): Magnitude for all the transformations. num_magnitude_bins (int): The number of different magnitude values. interpolation (InterpolationMode): Desired interpolation enum defined by :class:`torchvision.transforms.InterpolationMode`. Default is ``InterpolationMode.NEAREST``. If input is Tensor, only ``InterpolationMode.NEAREST``, ``InterpolationMode.BILINEAR`` are supported. fill (sequence or number, optional): Pixel fill value for the area outside the transformed image. If given a number, the value is used for all bands respectively. rxrcNnum_opsrnum_magnitude_binsrrrUc^>[TU]5 XlX lX0lX@lXPlgrW)rXrYrrrrr)r\rrrrrr]s r@rYRandAugment.__init__2s+  ""4* rBrrc[R"S5S4[R"SSU5S4[R"SSU5S4[R"SSUS-U5S4[R"SSUS-U5S4[R"SSU5S4[R"SS U5S4[R"SS U5S4[R"SS U5S4[R"SS U5S4S [R"U5US- S - - R 5R 5- S4[R"S SU5S4[R"S5S4[R"S5S4S .$)NrFr|Trr rrr}rarprr-rrr r!r"r$r%r&r'r(r)r*r+rrrrrr4rs r@rRandAugment._augmentation_spaceAs^c*E2~~c394@~~c394@ >>#}z!}/LhWY]^ >>#}z!}/LhWY]^~~c4:DA >>#sH=tDnnS#x8$?S(;TB..c8*84G!(!1 JDNOOVWDWj8==?@]`I%--400T! C)CUCU\`aC% 0s-F c URRSURSURSURSUR SUR S3 nU$)Nz (num_ops=z , magnitude=z, num_magnitude_bins=, interpolation=rr)r]rIrrrrrr\ss r@rRandAugment.__repr__osg~~&&'(||n4>>*#D$;$;#<t112dii[   rB)rrrrr)rIrJrKrLrMr rr4rrrrYrrrrrrrrrQrrs@r@rrs("$+<+D+D&*     )  tE{#     C U38_ QUVY[`agimam[nVnQo &6f6 #  rBrc ^\rSrSrSrS\R S4S\S\S\\ \ SS4U4S jjjr S \S\ \ \\\444S jrS \S\4S jrS\ 4SjrSrU=r$)ri|aDataset-independent data-augmentation with TrivialAugment Wide, as described in `"TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation" `_. If the image is torch Tensor, it should be of type torch.uint8, and it is expected to have [..., 1 or 3, H, W] shape, where ... means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode "L" or "RGB". Args: num_magnitude_bins (int): The number of different magnitude values. interpolation (InterpolationMode): Desired interpolation enum defined by :class:`torchvision.transforms.InterpolationMode`. Default is ``InterpolationMode.NEAREST``. If input is Tensor, only ``InterpolationMode.NEAREST``, ``InterpolationMode.BILINEAR`` are supported. fill (sequence or number, optional): Pixel fill value for the area outside the transformed image. If given a number, the value is used for all bands respectively. rNrrrrUcF>[TU]5 XlX lX0lgrW)rXrYrrr)r\rrrr]s r@rYTrivialAugmentWide.__init__s! "4* rBrc[R"S5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4[R"SSU5S4S[R"U5US- S - - R 5R 5- S4[R"S SU5S4[R"S5S4[R"S5S4S .$) NrFgGz?Tg@@g`@rar rlrrr)r\rs r@r&TrivialAugmentWide._augmentation_spacesJc*E2~~c4:DA~~c4:DA >>#tX>E >>#tX>E~~c5(;TB >>#tX>EnnS$94@T8Q9Q4R &_6_f_:#rBrch^\rSrSrSrSSSSS\R S4S\S \S \S \S \ S \S\ \ \SS4U4Sjjjr S\S\ \\4S\\\ \\ 444Sjr\R&R(S\4Sj5r\R&R(S\4Sj5rS\S\4SjrS\S\4SjrS\4SjrSrU=r$)riaxAugMix data augmentation method based on `"AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty" `_. If the image is torch Tensor, it should be of type torch.uint8, and it is expected to have [..., 1 or 3, H, W] shape, where ... means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode "L" or "RGB". Args: severity (int): The severity of base augmentation operators. Default is ``3``. mixture_width (int): The number of augmentation chains. Default is ``3``. chain_depth (int): The depth of augmentation chains. A negative value denotes stochastic depth sampled from the interval [1, 3]. Default is ``-1``. alpha (float): The hyperparameter for the probability distributions. Default is ``1.0``. all_ops (bool): Use all operations (including brightness, contrast, color and sharpness). Default is ``True``. interpolation (InterpolationMode): Desired interpolation enum defined by :class:`torchvision.transforms.InterpolationMode`. Default is ``InterpolationMode.NEAREST``. If input is Tensor, only ``InterpolationMode.NEAREST``, ``InterpolationMode.BILINEAR`` are supported. fill (sequence or number, optional): Pixel fill value for the area outside the transformed image. If given a number, the value is used for all bands respectively. rrrTNseverity mixture_width chain_depthalphaall_opsrrrUc>[TU]5 SUlSUs=::aUR::dO [SURSUS35eXlX lX0lX@lXPlX`l Xpl g)Nrr z!The severity must be between [1, z]. Got z instead.) rXrY_PARAMETER_MAXr?rrrrrrr) r\rrrrrrrr]s r@rYAugMix.__init__sw  X4!4!44@ATAT@UU\]e\ffopq q *&  * rBrrc 8[R"SSU5S4[R"SSU5S4[R"SUSS- U5S4[R"SUSS- U5S4[R"SSU5S4S[R"U5US- S- - R5R 5- S 4[R"S SU5S 4[R "S5S 4[R "S5S 4S . nUR (avUR[R"SS U5S4[R"SS U5S4[R"SS U5S4[R"SS U5S4S .5 U$)Nrr|Tr g@rrrpFr) rrr r!r"r(r)r*r+r})r$r%r&r')rrrrr4rrupdate)r\rrrs r@rAugMix._augmentation_spacesi~~c394@~~c394@ >>#z!}s/BHMtT >>#z!}s/BHMtT~~c4:DAu||H5(Q,!9KLSSUYY[[]bcsH=uE"\\#.6c*E2  << HH#(>>#sH#Et"L#nnS#x@$G!&S(!CT J"'..c8"Dd!K  rBc.[R"U5$rW)r/ pil_to_tensorr\rs r@_pil_to_tensorAugMix._pil_to_tensorss##rBrc.[R"U5$rW)r/ to_pil_imagers r@_tensor_to_pilAugMix._tensor_to_pils~~c""rBparamsc.[R"U5$rW)r_sample_dirichlet)r\rs r@rAugMix._sample_dirichlets&&v..rBorig_imgc URn[R"U5up4n[U[5(aLUn[U[ [ 45(a[ U5/U-nO0UbUVs/sHn[ U5PM nnOURU5nURURXE45n[UR5n URS/[SUR- S5-U -5n U RS5/S/U RS- --n UR!["R$"UR&UR&/U R(S9R+U SS55n UR!["R$"UR&/UR,-U R(S9R+U SS55U SS2S4RU SS/5-n U SS2S4RU 5U -n[/UR,5GHnU nUR0S:a UR0O,[ ["R2"SSSS9R555n[/U5Hn[ ["R2"[7U5S5R555n[UR955UnUUunnURS:aH[ U["R2"UR:S["R<S 9R555OS nU(a!["R2"S S5(aUS -n[?UUUUR@US 9nM URCU SS2U4RU 5U-5 GM URU 5REURFS 9n[U[5(dURIU5$U$s snf)rNr rpr)devicerr)lowhighsizerrrxrr#)%rr/rrrr4rrrrrshapeviewmaxrr rrrrrexpandrrrrrrrrrrAradd_torr)r\rrrrrrrr orig_dimsbatch batch_dimsmcombined_weightsmixraugdepthrrrrrrs r@rAugMix.forward!sYyy"#"2"28"<% h ' 'C$e --d }x/!*./$Qa$/%%h/C**4+>+>PO !s1sxx<33i?@jjm_sejj1n'==   " " LL$**djj1%,, G N NzZ[}^` a   11 LL$**(:(::5<< P W WXbcdXegi j adGLL*Q-, -.1gll:&.t))*AC(,(8(81(r$s .. 0 ]M MM*/M@QMYabfglbmYnM`tT%((//tTnZ%((//ZzSSlUUXX__UrB