o ?߱i) @sdZddlZddlmZmZmZmZmZmZm Z ddl Z ddl Z ddl m Z ddlmZmZddlmZmZddlmZedZe e jd d Gd d d Ze e jd d Gd ddZe e jd d GdddZ d'dededede eefdede jf ddZGddde j j!Z"dededeeegefdedef dd Z# d(d!ee je jge jfd"e jd#ed$eeedee jge jff d%d&Z$dS))a A general framework for various sampling algorithm from a diffusion model. Impl based on * Refined Exponential Solver (RES) in https://arxiv.org/pdf/2308.02157 * also clude other impl, DDIM, DEIS, DPM-Solver, EDM sampler. Most of sampling algorihtm, Runge-Kutta, Multi-step, etc, can be impl in this framework by adding new step function in get_runge_kutta_fn or get_multi_step_fn. N)AnyCallableListLiteralOptionalTupleUnion)make_freezable)get_multi_step_fnis_multi_step_fn_supported)get_runge_kutta_fnis_runge_kutta_fn_supported)log)2ab2midZ1eulerF)slotsc@sfeZdZUdZeed<dZeed<dZeed<dZ e ed<e d Z e ed <d Z e ed <d Z e ed<dS) SolverConfigFis_multirrkr multistepgs_churninfs_t_maxg?s_t_ming?s_noiseN)__name__ __module__ __qualname__rbool__annotations__rstrrrfloatrrrr"r"]/data/cameron/vidgen/cosmos-predict2.5/cosmos_predict2/_src/imaginaire/modules/res_sampler.pyr's     rc@sJeZdZUdZeed<dZeed<dZeed<dZ eed<d Z e ed <d S) SolverTimestampConfig2nfeMb`?t_mingT@t_maxg@orderF is_forwardN) rrrr&intrr(r!r)r*r+rr"r"r"r#r$5s    r$c@sBeZdZUejedZeed<ejedZ eed<dZ e ed<dS) SamplerConfig)factorysolver timestampsT sample_cleanN) rrrattrsfieldrr/rr$r0r1rr"r"r"r#r-?s r-r(r) num_stepsts_orderr+returncCs~||krtdt|ttfstdtj|dtjd}|d||||d||d||}|r=|jddS|S)a Generate a sequence of reverse time steps. Args: t_min (float): The minimum time value. t_max (float): The maximum time value. num_steps (int): The number of time steps to generate. ts_order (Union[int, float]): The order of the time step progression. is_forward (bool, optional): If True, returns the sequence in forward order. Defaults to False. Returns: torch.Tensor: A tensor containing the generated time steps in reverse or forward order. Raises: ValueError: If `t_min` is not less than `t_max`. TypeError: If `ts_order` is not an integer or float. zt_min must be less than t_maxz$ts_order must be an integer or float)dtype)r)dims) ValueError isinstancer,r! TypeErrortorcharangefloat64flip)r(r)r4r5r+Z step_indicesZ time_stepsr"r"r# get_rev_tsGs* rAcseZdZd!deeffdd Zeddddd d ed d d f d e dej de dededededededede dej fddZ e  d"de ej ej gej fdej deedeee dej f dd ZZS)#SamplerNcfgcs"t|dur t}||_dSN)super__init__r-rC)selfrC __class__r"r#rFms  zSampler.__init__#r'Prrr7rx0_fn x_sigma_maxr4 sigma_min sigma_maxrhoS_churnS_minS_maxS_noise solver_optionr6c  s|jdtjdtjdtjffdd } t| } t| }| s'|s'Jd| t|| || | | | d}t||||d}t||d d }|| || S) Nx_B_StateShapet_Br6cs||tjSrD)tor=r?)rWrXin_dtyperMr"r# float64_x0_fnsz&Sampler.forward..float64_x0_fnz2Only support multistep or Runge-Kutta method, got )rrrrrrr)r&r(r)r*T)r/r0r1) r8r=Tensorr r rr$r- _forward_implrY)rGrMrNr4rOrPrQrRrSrTrUrVr\Z is_multistepZis_rk solver_cfgZtimestamps_cfg sampler_cfgr"rZr#forwardss"" zSampler.forward denoiser_fnnoisy_input_B_StateShaper` callback_fnsc Cs|dur|jn|}|jjrdnt|jjd}|jj|}t|jj|jj ||jj  |j }t |||j|d|}|jrRtj|d|j |jd} |||d| }|S)a Internal implementation of the forward pass. Args: denoiser_fn: Function to denoise the input. noisy_input_B_StateShape: Input tensor with noise. sampler_cfg: Configuration for the sampler. callback_fns: List of callback functions to be called during sampling. Returns: torch.Tensor: Denoised output tensor. Nr7r)rddevicer8)rCr/rr,rr0r&rAr(r)r*rYrfdifferential_equation_solverr1r=onessizer8) rGrbrcr`rdZ solver_orderZnum_timestampssigmas_LZdenoised_outputrir"r"r#r^s"  zSampler._forward_implrD)NN)rrrrr-rFr=no_gradr!rr]r,r rarr^ __classcell__r"r"rHr#rBlsf     % rBlowerupperbody_funinit_valcCs>|}t||D]}|ddkrtd||||}q|S)aJ Implements a for loop with a function. Args: lower: Lower bound of the loop (inclusive). upper: Upper bound of the loop (exclusive). body_fun: Function to be applied in each iteration. init_val: Initial value for the loop. Returns: The final result after all iterations. rz fori_loop: )rangerinfo)rnrorprqvalir"r"r# fori_loops    rwrMrkr_rdcsptdjrtjntjtjdt dddt j dt j ffdd }|S)af Creates a differential equation solver function. Args: x0_fn: Function to compute x0 prediction. sigmas_L: Tensor of sigma values with shape [L,]. solver_cfg: Configuration for the solver. callback_fns: Optional list of callback functions. Returns: A function that solves the differential equation. r7g333333?input_xT_B_StateShaper6c stj|d|jtjddtdttjtt tjfdttjtt tjfffdd }t d||dg\}}|S) z Samples from the differential equation. Args: input_xT_B_StateShape: Input tensor with shape [B, StateShape]. Returns: Output tensor with shape [B, StateShape]. rrei_thstater6c s|\}}||d}}j|krjkr9nn||}||d|djt|}|}jrR||}|||||\}}n |||\}}rnD] } | ditqc||fS)Nr7r")rrsqrtrr= randn_likerlocals) ryrzZinput_x_B_StateShapeZx0_predsZ sigma_cur_0Z sigma_next_0Zhat_sigma_cur_0Zx0_pred_B_StateShapeZoutput_x_B_StateShape callback_fn)rdetaones_Brkr_update_step_fnrMr"r#step_fns.  z@differential_equation_solver..sample_fn..step_fnN) r=rirjrfr?r,rr]rrrw)rxrZx_at_eps_rdrZnum_steprkr_rrM)rr# sample_fns z/differential_equation_solver..sample_fn) lenrr rr rminrmathr|r=r])rMrkr_rdrr"rr#rhs   &-rh)FrD)%__doc__rtypingrrrrrrrr2r=&cosmos_predict2._src.imaginaire.configr Z5cosmos_predict2._src.imaginaire.functional.multi_stepr r Z6cosmos_predict2._src.imaginaire.functional.runge_kuttar r %cosmos_predict2._src.imaginaire.utilsrCOMMON_SOLVER_OPTIONSdefinerr$r-r!r,rr]rAnnModulerBrwrhr"r"r"r#s^ $       %*U