+ Æܳj4ãóT€^RIHt!RR]4t!RR]4t!RR]4tR#) é)ÚOptimizer1Statecó6aa€]tRt^toRV3RlltRtVtV;t#)ÚSGDc  ó\<€V^8Xd \R4h\S V` RVVW43RVVVV 4 R#)a] Base SGD optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`): The learning rate. momentum (`float`, defaults to 0): The momentum value speeds up the optimizer by taking bigger steps. dampening (`float`, defaults to 0): The dampening value reduces the momentum of the optimizer. weight_decay (`float`, defaults to 0.0): The weight decay value for the optimizer. nesterov (`bool`, defaults to `False`): Whether to use Nesterov momentum. optim_bits (`int`, defaults to 32): The number of bits of the optimizer state. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. ú&SGD without momentum is not supported!ÚmomentumçN©ÚNotImplementedErrorÚsuperÚ__init__) ÚselfÚparamsÚlrrÚ dampeningÚ weight_decayÚnesterovÚ optim_bitsÚargsÚ min_8bit_sizeÚ __class__s &&&&&&&&&&€ÚW/home/luca/screen-checking/.venv/lib/python3.14/site-packages/bitsandbytes/optim/sgd.pyr Ú SGD.__init__ sDø€ðF qŒ=Ü%Ð&NÓOÐ OÜ ‰ÑØ Ø Ø Ø Ð !Ø Ø Ø Ø Ø ö ó©)rrrFé Né©Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__r Ú__static_attributes__Ú__classdictcell__Ú __classcell__©rÚ __classdict__s@@rrrsù‡€÷/ ÷/ rrcó6aa€]tRt^;toRV3RlltRtVtV;t#)ÚSGD8bitc  ó\<€V^8Xd \R4h\S V` RVVW43RV^VV4 R#)a 8-bit SGD optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`): The learning rate. momentum (`float`, defaults to 0): The momentum value speeds up the optimizer by taking bigger steps. dampening (`float`, defaults to 0): The dampening value reduces the momentum of the optimizer. weight_decay (`float`, defaults to 0.0): The weight decay value for the optimizer. nesterov (`bool`, defaults to `False`): Whether to use Nesterov momentum. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. rrr Nr © rrrrrrrrrrs &&&&&&&&&€rr ÚSGD8bit.__init__<sDø€ð@ qŒ=Ü%Ð&NÓOÐ OÜ ‰ÑØ Ø Ø Ø Ð !Ø Ø Ø Ø Ø ö rr©rrrFNrrr&s@@rr)r);óù‡€÷, ÷, rr)có6aa€]tRt^ktoRV3RlltRtVtV;t#)ÚSGD32bitc  ó\<€V^8Xd \R4h\S V` RVVW43RV^ VV4 R#)a 32-bit SGD optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. lr (`float`): The learning rate. momentum (`float`, defaults to 0): The momentum value speeds up the optimizer by taking bigger steps. dampening (`float`, defaults to 0): The dampening value reduces the momentum of the optimizer. weight_decay (`float`, defaults to 0.0): The weight decay value for the optimizer. nesterov (`bool`, defaults to `False`): Whether to use Nesterov momentum. args (`object`, defaults to `None`): An object with additional arguments. min_8bit_size (`int`, defaults to 4096): The minimum number of elements of the parameter tensors for 8-bit optimization. rrr Nr r+s &&&&&&&&&€rr ÚSGD32bit.__init__lsDø€ð@ qŒ=Ü%Ð&NÓOÐ OÜ ‰ÑØ Ø Ø Ø Ð !Ø Ø Ø Ø Ø ö rrr-rr&s@@rr0r0kr.rr0N)Úbitsandbytes.optim.optimizerrrr)r0rrrÚr4s0ðõ 9ô0 ˆ/ô0 ôf- ˆoô- ô`- ˆö- r