
     ~jD                        S r SSKr\R                  R                  SS5        SSKrSSKJr  SSKJr	  \	R                  " 5         \R                  " \R                  S   \R                  S9r\R                  5         \" \R                  5      S:  a  \" \R                  S   5      OS	r\R&                  " S
5        \R(                  " S\S5      r\R,                  " 5          \" \5      rSSS5        \R1                  5       R3                  S5      R5                  S5        \R1                  5       R3                  S5      R5                  S5        \" S\" \R:                  5      S\" \R:                  5      5        g! , (       d  f       N= f)a:  Torch reference of the Music3 condition encoder.

Imports MiniMaxMusic3ConditionEncoder from the reference project ../../diffusers.
Dumps a seeded random hidden state block and the conditioning output.
Run from tests/ directory. All paths relative to CWD.

Usage:
    ./mm3-cond-ref.py <checkpoint_dir> [n_frames]
    Nz../../diffusers/src)MiniMaxMusic3ConditionEncoder)logging   )torch_dtype      {   i   float32zparity/cond_hidden.binzparity/cond_ref.binhiddenz-> cond)__doc__syspathinserttorchFdiffusers.models.condition_embedders.condition_embedder_minimax_music3r   diffusers.utilsr   diffusers_loggingdisable_progress_barfrom_pretrainedargvr
   modelevallenintTmanual_seedrandnr   no_gradcondnumpyastypetofileprinttupleshape     mm3-cond-ref.py<module>r)      s$    ( )  9  & & (%55chhqku}}] 

CHH)Cq   # 	Q8	$
]]_=D    i   ' '(@ A 

  I  % %&; < hfll#Ydjj0A B	 _s    	E99
F