+ Ljo ^RIt^RIHuHt^RIHt^RIHt^RIHtH t ]!4'd^RI t R]PR]PR]PR]PR ]P/tR R lt!R R ]P"4t!RR]P"4t !RR]P"4t!RR]P"4t!RR]P"4t!RR]P"4tR#)N)nn) deprecate)is_torch_npu_availableis_torch_versionswishsilumishgelurelucDV^8dQhR\R\P/#)act_fnreturn)strrModule)formats"H/app/.local/lib/python3.14/site-packages/diffusers/models/activations.py __annotate__r$s"mm3m299mc VP4pV\9d\V,!4#\RV R\\P 44 24h)zHelper function to get activation function from string. Args: act_fn (str): Name of activation function. Returns: nn.Module: Activation function. zactivation function z not found in ACT2FN mapping )lowerACT2CLS ValueErrorlistkeys)rs&rget_activationr$sO\\^F v  /x7TUYZaZfZfZhUiTjkllrcHaa]tRt^5toRtV3RltV3RlRltRtVtV;t #)FP32SiLUz@ SiLU activation function with input upcasted to torch.float32. c$<\SV`4R#N)super__init__)self __class__s&rr"FP32SiLU.__init__:s rcN<V^8dQhRS[PRS[P/#)r inputsrtorchTensor)r __classdict__s"rrFP32SiLU.__annotate__=s'FFellFu||Frc\P!VP4RR7PVP4#)F)inplace)Frfloattodtype)r#r's&&rforwardFP32SiLU.forward=s(vvfllne477 EEr __name__ __module__ __qualname____firstlineno____doc__r"r3__static_attributes____classdictcell__ __classcell__r$r+s@@rrr5s!FFFrrc^aa]tRt^AtoRtRV3RlV3RllltV3RlRltRtRtVt V;t #) GELUa GELU activation function with tanh approximation support with `approximate="tanh"`. Parameters: dim_in (`int`): The number of channels in the input. dim_out (`int`): The number of channels in the output. approximate (`str`, *optional*, defaults to `"none"`): If `"tanh"`, use tanh approximation. bias (`bool`, defaults to True): Whether to use a bias in the linear layer. c2<V^8dQhRS[RS[RS[RS[/#)r dim_indim_out approximatebias)intrbool)rr+s"rrGELU.__annotate__Ls*''s'S's'SW'rcj<\SV`4\P!WVR7VnW0nR#rFN)r!r"rLinearprojrE)r#rCrDrErFr$s&&&&&rr" GELU.__init__Ls& IIfD9 &rcN<V^8dQhRS[PRS[P/#r gaterr()rr+s"rrrIQs#:::%,,:rcRVPPR8Xdm\RR4'd[\P!VP \ PR7VPR7P VPR7#\P!WPR7#)mps<2.0.0r2)rE) devicetyperr/r r1r)float32rEr2r#rRs&&rr GELU.geluQsq ;;  u $)9#w)G)G66$'' '6DDTDTUXX_c_i_iXj jvvd(8(899rcJVPV4pVPV4pV#r )rNr r# hidden_statess&&rr3 GELU.forwardWs$ -0  -0 r)rErN)noneT r7r8r9r:r;r"r r3r<r=r>r?s@@rrArAAs('' :: rrAc^aa]tRt^]toRtRV3RlV3RllltV3RlRltRtRtVt V;t #) GEGLUa6 A [variant](https://huggingface.co/papers/2002.05202) of the gated linear unit activation function. Parameters: dim_in (`int`): The number of channels in the input. dim_out (`int`): The number of channels in the output. bias (`bool`, defaults to True): Whether to use a bias in the linear layer. c,<V^8dQhRS[RS[RS[/#r rCrDrFrGrH)rr+s"rrGEGLU.__annotate__gs">>s>S>>rcl<\SV`4\P!W^,VR7VnR#r rLNr!r"rrMrNr#rCrDrFr$s&&&&rr"GEGLU.__init__gs$ IIfk= rcN<V^8dQhRS[PRS[P/#rQr()rr+s"rrrhks#%,,rc$VPPR8Xda\RR4'dO\P!VP \ PR74P VPR7#\P!V4#)rTrUrVrW) rXrYrr/r r1r)rZr2r[s&&rr GEGLU.geluks_ ;;  u $)9#w)G)G66$'' '67:::L Lvvd|rcB\V4^8gVPRR4eRp\RRV4VPV4p\ 4'd!\ P !VR^R7^,#VP^RR7wrWPV4,#)rscaleNzThe `scale` argument is deprecated and will be ignored. Please remove it, as passing it will raise an error in the future. `scale` should directly be passed while calling the underlying pipeline component i.e., via `cross_attention_kwargs`.z1.0.0)dimrErs) lengetrrNr torch_npu npu_gegluchunkr )r#r_argskwargsdeprecation_messagerRs&&*, rr3 GEGLU.forwardqs t9q=FJJw5A#U  gw(; < -0 ! # #&&}"!LQO O"/"5"5aR"5"@ M 99T?2 2rrNTrbr?s@@rrdrd]s(>> 3 3rrdcLaa]tRt^~toRtRV3RlV3RllltRtRtVtV;t #)SwiGLUau A [variant](https://huggingface.co/papers/2002.05202) of the gated linear unit activation function. It's similar to `GEGLU` but uses SiLU / Swish instead of GeLU. Parameters: dim_in (`int`): The number of channels in the input. dim_out (`int`): The number of channels in the output. bias (`bool`, defaults to True): Whether to use a bias in the linear layer. c,<V^8dQhRS[RS[RS[/#rfrg)rr+s"rrSwiGLU.__annotate__s"$$s$S$$rc<\SV`4\P!W^,VR7Vn\P !4VnR#rj)r!r"rrMrNSiLU activationrls&&&&rr"SwiGLU.__init__s1 IIfk= '')rc|VPV4pVP^RR7wrWPV4,#)r rtru)rNrzr)r#r_rRs&& rr3SwiGLU.forwards: -0 +11!1< t444rrrNrr6r?s@@rrr~s$$ 55rrcXaa]tRt^toRtRV3RlV3RllltV3RlRltRtVtV;t #)ApproximateGELUal The approximate form of the Gaussian Error Linear Unit (GELU). For more details, see section 2 of this [paper](https://huggingface.co/papers/1606.08415). Parameters: dim_in (`int`): The number of channels in the input. dim_out (`int`): The number of channels in the output. bias (`bool`, defaults to True): Whether to use a bias in the linear layer. c,<V^8dQhRS[RS[RS[/#rfrg)rr+s"rrApproximateGELU.__annotate__s"::s:S::rc^<\SV`4\P!WVR7VnR#rKrkrls&&&&rr"ApproximateGELU.__init__s  IIfD9 rcN<V^8dQhRS[PRS[P/#)r xrr()rr+s"rrrs#,,,%,,,rclVPV4pV\P!RV,4,#)gZd;?)rNr)sigmoid)r#rs&&rr3ApproximateGELU.forwards' IIaL5==+++rrrr6r?s@@rrrs#::,,,rrcHaa]tRt^toRV3RlV3RllltRtRtVtV;t#)LinearActivationc2<V^8dQhRS[RS[RS[RS[/#)r rCrDrFr)rGrHr)rr+s"rrLinearActivation.__annotate__s*55s5S55QT5rc~<\SV`4\P!WVR7Vn\ V4VnR#rK)r!r"rrMrNrr)r#rCrDrFrr$s&&&&&rr"LinearActivation.__init__s, IIfD9 (4rcFVPV4pVPV4#r )rNrr^s&&rr3LinearActivation.forwards -0 }--rr)Tr) r7r8r9r:r"r3r<r=r>r?s@@rrrs55 ..rr)r)torch.nn.functionalr functionalr/utilsrutils.import_utilsrrrxrMishrAReLUrrrrrdrrrr5rrrs  I RWW BGG BGG BGG BGG  m" Fryy F29983BII3B5RYY5.,bii,( .ryy .r