
    {Qf                        d dl Z d dlZd dlZd dlZd dlZd dlZd dlmZ d dl	m	Z	m
Z
 d dlmZmZ d dlmZ d dlZd dlZd dlZd dlZd dlmZ d dlmZ d dlmZ d dlZd d	lmZmZmZ d
 Z d Z! ejD                  e!       ej                  jE                  e!        ejF                  e!       d dl$Z$ e$jJ                  d      Z&e&jO                  dde(ddd       e&jO                  dde(ddd       e&jO                  dddd       e&jO                  de)d       e&jO                  de)d       e&jO                  de)d        e&jO                  d!d"e(d#       e&jO                  d$d%e)d&d'(       e&jO                  d)d*e)d+d,(       e&jO                  d-e)d d.(       e&jO                  d/e)d0d1(       e&jO                  d2e*d3d4(       e&jO                  d5e) e)d6      d4(       e&jO                  d7ddd89       e&jO                  d:ddd;9       e&jO                  d<e)d=d>(       e&jO                  d?e)d@dA(       e&jO                  dBdddC9       dD Z+dHdEZ,dF Z-dIdGZ.y)J    N)partial)tqdmtrange)	rearrangerepeat)
functional)MNIST)
TetrisObjs)
DataLoader)ComposeToTensorLambdac                     t        | t              r-| j                         D ci c]  \  }}|t        |       c}}S | j	                         S c c}}w N)
isinstancedictitemsto_gpucuda)obkvs      8/home/cameronsmith/repos/onestep_diffusion/args_setup.pyr   r      s?    
2t@T<A6!9<cZ\ZaZaZcc<s   Azsimple training job)descriptionz-nz--name Fzwandb training name)typedefaultrequiredhelpz-cz--init_ckptzIFile for checkpoint loading. If folder specific, will use latest .pt filez-oz--online
store_true)r   actionz--imsl   )r   r   z--ch   z--n_gen
   z-dz	--datasetmnistz-bz--batch_size   z,number of videos/sequences per training step)r   r   r   z-vz	--vid_len   z*video length or number of images per batchz--n_workersz number of workers per dataloaderz--until_save  z number of steps until model savez--lrgMbP?zlearning ratez--n_train_stepsg    חAz	--overfitz$Whether to overfit on a single scene)r   r!   r   z--no_shufflezWhether to shuffle datasetz--until_img2   z%Number of steps until image summary. z--overfit_sizei z Number of scenes to overfit on. z--load_savezVWhether to load the previously saved data if overfitting (to avoid running flow again)c                     t        | d      S )Nz... c x y -> ... (x y) c)r   xs    r   <lambda>r-   :   s    9Q9:     c           	      f    t        | d|"t        | j                  d      dz              S |      S )Nz... (x y) c -> ... c x yg      ?r+   )r   intsize)srcr,   s     r   r-   r-   ;   s2    9S)Cabajc#((SU,Y[J\F]r pqr r.   c                 ^    i }| d   | d   z
  j                         j                         |d<   |S )Netaeta_est	denoising)squaremean)	model_outgtmodel_inputmodelsteplossess         r   loss_fnr@   =   s7    F"5))I*>>FFHMMOF;Mr.   c                 d   t         j                  |       } t        j                         }t	        j
                         }t        d|        | j                  rd| _        t        j                  dd| j                  rdnd| j                  d      }t        j                  j                  d	       t        j                   j#                  d
|j                        |_        t        |j$                         t        j&                  |j$                  d       d}d}| j(                  dk(  rt+        d      n	t-               }t/        || j0                  d      |_        t5        j6                  t5        j8                  d| j:                  | j<                        ddd      j?                         |_         | jB                  t        j                   jE                  t        j                   jG                  | jB                              r| jB                  n_tI        tK        jJ                  t        j                   j#                  | jB                  d            t        j                   jL                        }|j@                  jO                  tQ        jR                  |      d   d       | |_*        ||_	        |S )Nzuser=r   cameronsmithbusinessbiasingonlinedisabledz
/tmp/wandb)entityprojectmodenamedir.z/home/cameronsmith/logsT)exist_okzddpm_model_mnist.ptzddpm_model_fashion.ptr%   F)fashion)shuffler(   )in_chimsl   g-C6?g{Gz?)n_stepsmin_betamax_betaz*.pt)keymodel_state_dict)strict)+parser
parse_argsargparse	Namespacegetpassgetuserprintoverfit	n_workerswandbinitrD   rI   runlog_codeospathjoinsave_dirmakedirsdatasetr	   r
   r   
batch_sizeloadermodelsMyDDPM
MySceneRepchrP   r   r=   	init_ckptisfile
expandusermaxglobgetctimeload_state_dicttorchloadargs)	rz   valselfuserrc   STORE_PATH_MNISTSTORE_PATH_FASHIONrj   	ckpt_files	            r   make_runr   D   s.   T"DD??D	E$.||AT^ **29VZVaVa(gqw{  xA  xA  HR  TC	IIsGGLL!:SXXFDM	$--KKt,
 -0&*llG&;eE"GWdootDDK v00DGGS]^iq  }A  B  G  G  IDJ~~!&(ggnnRWW5G5G5W&XDNN^abfbkbklnlslslxlxy}  zH  zH  IO  mP  cQ  WY  W^  W^  Wg  Wg  _h	

""5::i#89K#LTY"ZDIDJKr.   r   )NF)/re   randomtimeru   sysnumpynp	functoolsr   r   r   einopsr   r   torch.nnr   Fra   rx   rm   vis_scripts
data.mnistr	   data.tetris_objsr
   torch.utils.datar   r\   torchvision.transformsr   r   r   r   SEEDseedmanual_seedrZ   ArgumentParserrX   add_argumentstrr1   floatch_secch_fstr@   r    r.   r   <module>r      s`         # $      ' '  < < c D  		t    $  	 	 	 -B	C   DBK`  a   DSu  S^   _   DU<  H   H3r  2   FQ  /   IC  3   D3w  ?   Dc!Ao  p   D3q>j  k   Ms2;]  ^   ND>`  a   Fd  H   %3s3x_  U   K|Io  p   NE,Lh  i   MB<c  d   $3xEg  h   M5  Ld   e 
;	r$r.   