Ë
    ÄÓ^jÛ6  ã                   óz  — d dl Z d dlmZmZ d dlZd dlmZ d dlmc m	c m
Z d dlmc mZ d dlmZmZmZmZ d dlmZ d dlmZ d dlmZ d dlmZ d dlmZ d d	lmZ d d
lm Z m!Z!m"Z"mZ# d dl$m%Z%m&Z& dgZ'de!de(ejR                  ejR                  f   fd„Z*de!de+de(ejR                  ejR                  f   fd„Z,de!de(ejR                  ejR                  f   fd„Z-de!de+defd„Z.de!dej^                  defd„Z0de!dej^                  fd„Z1dejd                  dejf                  de+dejd                  fd„Z4dejf                  de+de+de+dej^                  dejf                  fd„Z5dejf                  de+d e de!fd!„Z6dejf                  de(ejf                  e7e   f   fd"„Z8de!d#e dz  dejf                  fd$„Z9 G d%„ de«      Z:y)&é    N)ÚAnyÚcast)ÚShardÚShardedTensorÚShardedTensorMetadataÚTensorProperties)ÚShardMetadata)ÚChunkShardingSpec)Ú_set_fsdp_flattened)ÚFSDPExtensions)Ú_create_chunk_sharded_tensor)Ú_remote_device)Ú
DeviceMeshÚDTensorÚ	Replicater   )Ú_flatten_tensorÚ_unflatten_tensorÚDTensorExtensionsÚtensorÚreturnc                 óÈ  — | j                   }|j                  dk7  rt        d«      ‚| j                  d   }dgt	        | j                  «       «      z  }|j                  d¬«      }| j                  d   j                  «       r3t        t        |«      j                  }| j                  |«      |z  }|||<   t        j                  |«      | j                  j                  «       fS )Né   ú&Only 1D DeviceMeshes currently handledr   )Úmesh_dim)Údevice_meshÚndimÚAssertionErrorÚ
placementsÚlenÚsizeÚis_shardr   ÚDShardÚdimÚtorchÚSizeÚ_local_tensor)r   r   Ú	placementÚoffsetsÚ
num_chunksÚ	shard_dimÚ
chunk_sizes          úq/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/torch/distributed/tensor/parallel/fsdp.pyÚ_get_boxr-      sÌ   € Ø×$Ñ$€KØ×Ñ˜1ÒÜÐEÓFÐFà×!Ñ! !Ñ$€IØˆc”C˜Ÿ™›Ó&Ñ&€GØ×!Ñ!¨1Ð!Ó-€Jð ×Ñ˜Ñ×$Ñ$Ô&Üœ Ó+×/Ñ/ˆ	Ø—[‘[ Ó+¨zÑ9ˆ
Ø'ˆ�	Ñä�J‰J�wÓ ×!5Ñ!5×!:Ñ!:Ó!<Ð=Ð=ó    Úidxc                 óx   — t        | «      \  }}t        j                  |D �cg c]  }||z  ‘Œ	 c}«      |fS c c}w ©N)r-   r$   r%   )r   r/   r(   r    Úvals        r,   Ú_get_box_forr3   1   s6   € Ü˜VÓ$�M€GˆTÜ�J‰J¨WÖ5 c˜˜c›	Ò5Ó6¸Ð=Ð=ùÒ5s   ¢7c                 óh   — | j                   }|j                  «       }|€t        ‚t        | |d   «      S )Nr   )r   Úget_coordinater   r3   )r   r   Úcoords      r,   Ú_get_local_boxr7   6   s7   € Ø×$Ñ$€KØ×&Ñ&Ó(€EØ€}ÜÐÜ˜  a¡Ó)Ð)r.   ÚdtÚcurrent_rankc                 óÞ   — | j                   }|j                  dk7  rt        d«      ‚t        | «      \  }}t	        t        |«      t        |«      d|› d| j                  j                  › �¬«      S )Nr   r   úrank:ú/©Úshard_offsetsÚshard_sizesr'   )r   r   r   r7   r	   Úlistr&   Údevice)r8   r9   Úmeshr(   Úsizess        r,   Ú_create_shard_md_from_dtrD   >   sh   € Ø�>‰>€DØ‡y�y�A‚~ÜÐEÓFÐFä# BÓ'�N€GˆUÜÜ˜7“mÜ˜“KØ˜,˜ q¨×)9Ñ)9×)@Ñ)@Ð(AÐBôð r.   Údt_pgc                 ó  — g }t        j                  |«      }|dkD  rdnd}| j                  d   j                  «       r|j	                  «       }nd}t        |«      D ]a  }t        | |«      \  }}|j                  t        t        |«      t        |«      d|dkD  r|n|› d| j                  j                  › �¬«      «       Œc t        || j	                  «       t        | j                  | j                  | j                   ¬«      ¬«      S )Nr   r   r;   r<   r=   )ÚdtypeÚlayoutÚrequires_grad)Úshards_metadatar    Útensor_properties)ÚdistÚget_rankr   r!   r    Úranger3   Úappendr	   r@   r&   rA   r   r   rG   rH   rI   )	r8   rE   Ú	shards_mdÚmy_rankÚscapegoat_rankÚshard_countÚir(   rC   s	            r,   Ú!_create_sharded_tensor_md_from_dtrU   K   só   € ð €IÜ�m‰m˜EÓ"€GØ! Aš+‘Q¨1€Nð 
‡}�}�QÑ× Ñ Ô"Ø—j‘j“l‰àˆä�;Óò 

ˆÜ% b¨!Ó,‰ˆ�Ø×ÑÜÜ" 7›mÜ  ›Kà¨a°!ªe™N¸ÐAÀÀ2×CSÑCS×CZÑCZÐB[Ð\ô	õ	
ð

ô !Ø!Ø�W‰W‹YÜ*Ø—(‘(Ø—9‘9Ø×*Ñ*ô
ô	ð 	r.   c                 ón   — | j                   }|j                  dk7  rt        d«      ‚|j                  «       S )Nr   r   )r   r   r   Ú	get_group)r8   rB   s     r,   Ú
_get_dt_pgrX   s   s/   € Ø�>‰>€DØ‡y�y�A‚~ÜÐEÓFÐFØ�>‰>ÓÐr.   ÚspecÚrankc                 ó  — t        | t        «      s| S d}| j                  D ]G  }t        t        |«      }|j                  «       |k(  sŒ'|j                  «       |j                  k7  sŒEd} n |rœt        j                  | «      } t        | j                  «      D ]o  \  }}t        t        |«      }|j                  «       |k(  sŒ*|j                  «       |j                  k7  sŒHt	        d|› d|j                  › �«      | j                  |<   Œq | S )zØ
    Rewrite ``spec`` to match the device of ``tensor``.

    FSDP.sharded_optim_state_dict sneakly ships optimizer state to CPU so if the original ShardingSpec
    produces CUDA metadata, ST construction bombs.
    FTr;   r<   )
Ú
isinstancer
   r   r   r   rZ   rA   ÚcopyÚdeepcopyÚ	enumerate)rY   r   rZ   ÚrewriteÚprT   r'   s          r,   Ú_rewrite_spec_if_neededrb   z   sì   € ô �dÔ-Ô.Øˆð €GØ�_‰_ò ˆÜ” Ó#ˆØ�6‰6‹8�tÓ §¡£
¨f¯m©mÓ ;ØˆGÙð	ñ
 Ü�}‰}˜TÓ"ˆä% d§o¡oÓ6ò 	T‰LˆAˆyÜœ^¨YÓ7ˆIØ�~‰~Ó 4Ó'¨I×,<Ñ,<Ó,>À&Ç-Á-Ó,Oä%3°e¸D¸6ÀÀ6Ç=Á=À/Ð4RÓ%S�—‘ Ò"ð		Tð €Kr.   Ú
world_sizeÚnum_devices_per_nodeÚpgc           	      ó¦  — t        | «      t        u r×t        | j                  «       «      dk7  rt        ‚| j                  «       }t        |||||«      }| j                  «       d   }t        |t        j                  |j                  «      «      g}t        j                  | j                  «       «      }	d|	j                  _        t        j                  ||	| j                  d¬«      }
|
S t        | «      t        u rÊ| j                   }|j"                  dk7  rt	        d«      ‚| j$                  }t        |||t&        j(                  j+                  «       |«      }t-        | «      }t        |t/        | t1        j2                  |«      «      «      g}t5        | |«      }	d|	j                  _        t        j                  ||	|d¬«      }
|
S t        | ||||«      S )Nr   r   F)Úsharded_tensor_metadataÚprocess_groupÚ
init_rrefsr   )Útyper   r   Úlocal_shardsr   Úlocal_tensorr   r   r]   r^   ÚmetadatarK   rI   Ú+_init_from_local_shards_and_global_metadataÚ_process_groupr   r   r   r&   r$   ÚacceleratorÚdevice_countrX   rD   rL   rM   rU   )r   rZ   rc   rd   re   Úinner_paramÚinner_stÚouter_local_shardÚshardsÚst_metaÚst_outerr   rE   s                r,   Ú_chunk_tensorrx   ™   sÇ  € ô ˆFƒ|”}Ñ$Üˆv×"Ñ"Ó$Ó%¨Ò*Ü Ð à×)Ñ)Ó+ˆÜ/ØØØØ Øó
ˆð #×/Ñ/Ó1°!Ñ4Ðä�(œDŸM™MÐ*;×*DÑ*DÓEÓFð
ˆô —-‘- §¡Ó 1Ó2ˆØ27ˆ×!Ñ!Ô/ä ×LÑLØØ$+Ø ×/Ñ/Øô	
ˆð ˆÜ	ˆf‹œÑ	 Ø×(Ñ(ˆØ×Ñ˜qÒ Ü Ð!IÓJÐJà×*Ñ*ˆä/ØØØÜ×Ñ×*Ñ*Ó,Øó
ˆô ˜6Ó"ˆô �(Ô4°V¼T¿]¹]È5Ó=QÓRÓSð
ˆô 4°F¸EÓBˆØ27ˆ×!Ñ!Ô/ä ×LÑLØØ$+ØØô	
ˆð ˆä+ØØØØ Øó
ð 	
r.   r   c                 óÔ  — |�|j                  «       nd}|€t        d«      ‚|j                  dk  rt        d|j                  › d�d«      ‚| j                  «       j	                  «       } t        | t        j                  «      rœt        | t        «      sŒt        |j                  «      D �cg c]  }t        «       ‘Œ }}t        |j                  «      D �cg c]  }t        «       ‘Œ }}t        d«      |d<   t        j                  | ||d¬	«      j                  ||¬
«      S | j                  }|d   }| j                  «       } t        |j                  «      D �cg c]  }t        «       ‘Œ }}||d<   t        |j                  «      D �	cg c]  }	t        «       ‘Œ }}	t        d«      |d<   ||d<   t        j                  | ||d¬	«      j                  ||¬
«      S c c}w c c}w c c}w c c}	w )zœ
    Shard a tensor to chunks along the first dimension.

    The local rank will gets its corresponding chunk as the local tensor to create a DTensor.
    Nz4No parent device_mesh is found for FSDP device_mesh.é   z!Found parent device_mesh of ndim=ú,zbut meshes must be at least 2D.r   F)Ú	run_check©r   r   éÿÿÿÿéþÿÿÿ)Ú_get_root_meshÚRuntimeErrorr   ÚdetachÚcloner\   r$   ÚTensorr   rN   r   r"   Ú
from_localÚredistributer   Úto_local)
r   rZ   r   Ú	root_meshÚ_Úreplicate_placementsÚshard_placementsÚtp_placementsÚtp_placementrT   s
             r,   Ú_chunk_dtensorrŽ   å   sÔ  € ð 1<Ð0G�×*Ñ*Ô,ÈT€IØÐÜÐQÓRÐRØ‡~�~˜ÒÜØ/°	·±Ð/?¸qÐAØ-ó
ð 	
ð �]‰]‹_×"Ñ"Ó$€Fô
 �&œ%Ÿ,™,Ô'´
¸6Ä7Ô0Kô 6;¸9¿>¹>Ó5JÖK°¤	¥ÐKÐÐKÜ16°y·~±~Ó1FÖG¨AœI�KÐGÐÐGÜ$ Q›iÐ˜Ñä×!Ñ!Ø�IÐ3¸uô
ç
‰,Ø!Ø'ð ó 
ð	
ð ×)Ñ)ˆØ$ QÑ'ˆà—‘Ó"ˆô 6;¸9¿>¹>Ó5JÖK°¤	¥ÐKÐÐKØ#/Ð˜RÑ Ü16°y·~±~Ó1FÖG¨AœI�KÐGÐÐGÜ% a›yÐ˜ÑØ+Ð˜Ñä×!Ñ!Ø�IÐ3¸uô
ç
‰,Ø!Ø'ð ó 
ð	
ùò9  LùÚGùò*  LùâGs   Â*GÃGÅG ÆG%c                 ó  — t        t        | «      j                  «       }t        |«      dk(  r?t	        |d   j
                  «      t        u r!|d   j
                  }|j                  «       }|} | t        |«      dkD  r|fS g fS )Nr   r   )r   r   rk   r   rj   r   )r   ru   Úinner_tensors      r,   Ú_pre_load_state_dictr‘   &  sz   € ô ”- Ó(×5Ñ5Ó7€FÜ
ˆ6ƒ{�aÒœD ¨¡×!1Ñ!1Ó2´mÑCØ˜a‘y×'Ñ'ˆØ×*Ñ*Ó,ˆØˆàœc &›k¨Ašo�FÐ6Ð6°2Ð6Ð6r.   Úparent_meshc                 ó(  — || j                   k7  rt        ‚t        t        j                  | j
                  «      «      }t        t        |«      dz
  «      D ]  }t        «       ||<   Œ | j                  | j                   |¬«      } | j                  «       S )zGAll gather a DTensor in its FSDP dimension and return the local tensor.r   r}   )r   r   r@   r]   r^   r   rN   r   r   r†   r‡   )r   r’   r   rT   s       r,   Ú_all_gather_dtensorr”   2  s‹   € ð
 �f×(Ñ(Ò(ÜÐä”d—m‘m F×$5Ñ$5Ó6Ó7€Jô ”3�z“? QÑ&Ó'ò $ˆÜ!›ˆ
�1Šð$à× Ñ Ø×&Ñ&Øð !ó €Fð
 �?‰?ÓÐr.   c                   óÜ  ‡ — e Zd ZdZdˆ fd„Zdej                  deej                  edz  f   fd„Z	dej                  dedej                  fd„Z
	 ddej                  d	ed
ededej                  dej                  dz  dej                  fd„Zdej                  d	ededej                  fd„Zdej                  deej                  ee   f   fd„Zdededz  dej                  fd„Zˆ xZS )r   zî
    DTensorExtension is the TensorFlattener extension needed for 2D FSDP + TP.

    This is the implementation for FSDPExtensions defined in
    https://github.com/pytorch/pytorch/blob/main/torch/distributed/fsdp/_fsdp_extensions.py
    r   Nc                 óš   •— t         ‰| �  «        d | _        || _        t        j
                  j                  | j                  «      | _        y r1   )ÚsuperÚ__init__Úcompute_streamÚdevice_handler$   Ú_dynamoÚdisableÚpost_unflatten_transform)Úselfrš   Ú	__class__s     €r,   r˜   zDTensorExtensions.__init__O  s@   ø€ Ü‰ÑÔØ"ˆÔØ*ˆÔô ).¯©×(=Ñ(=Ø×)Ñ)ó)
ˆÕ%r.   r   c                 ó   — t        |«      S r1   )r   ©rž   r   s     r,   Úpre_flatten_transformz'DTensorExtensions.pre_flatten_transformY  s   € ô ˜vÓ&Ð&r.   Úparam_extensionc                 ó  — | j                   xs | j                  j                  «       }| j                  j                  |«      5  t	        ||| j                  | j                   ¬«      }t        |«       |cd d d «       S # 1 sw Y   y xY w)N)rš   r™   )r™   rš   Úcurrent_streamÚstreamr   r   )rž   r   r£   r¦   Úresults        r,   r�   z*DTensorExtensions.post_unflatten_transform_  s}   € ð ×$Ñ$ÒK¨×(:Ñ(:×(IÑ(IÓ(KˆØ×Ñ×&Ñ& vÓ.ñ 	ô 'ØØØ"×0Ñ0Ø#×2Ñ2ô	ˆFô   Ô'Ø÷	÷ 	ò 	ús   Á0A>Á>BrZ   rc   rd   re   rA   c                 ó    — t        |||||«      S r1   )rx   )rž   r   rZ   rc   rd   re   rA   s          r,   Úchunk_tensorzDTensorExtensions.chunk_tensorr  s   € ô ˜V T¨:Ð7KÈRÓPÐPr.   r   c                 ó   — t        |||«      S r1   )rŽ   )rž   r   rZ   r   s       r,   Úchunk_dtensorzDTensorExtensions.chunk_dtensor}  s   € ô ˜f d¨KÓ8Ð8r.   c                 ó   — t        |«      S r1   )r‘   r¡   s     r,   Úpre_load_state_dict_transformz/DTensorExtensions.pre_load_state_dict_transform…  s   € ô $ FÓ+Ð+r.   r’   c                 ó   — t        ||«      S r1   )r”   )rž   r   r’   s      r,   Úall_gather_dtensorz$DTensorExtensions.all_gather_dtensor‹  s   € ô
 # 6¨;Ó7Ð7r.   )r   Nr1   )Ú__name__Ú
__module__Ú__qualname__Ú__doc__r˜   r$   r„   Útupler   r¢   r�   ÚintrL   ÚProcessGrouprA   r©   r   r«   r@   r   r­   r   r¯   Ú__classcell__)rŸ   s   @r,   r   r   G  sV  ø„ ñõ
ð'à—‘ð'ð 
ˆu�|‰|˜S 4™ZÐ'Ñ	(ó'ðØ—l‘lðØ58ðà	�‰óð4 '+ñ	Qà—‘ð	Qð ð	Qð ð		Qð
 "ð	Qð ×Ñð	Qð —‘˜tÑ#ð	Qð 
�‰ó	Qð9à—‘ð9ð ð9ð  ð	9ð
 
�‰ó9ð,à—‘ð,ð 
ˆu�|‰|˜T %™[Ð(Ñ	)ó,ð8àð8ð   $Ñ&ð8ð 
�‰÷	8r.   );r]   Útypingr   r   r$   Útorch.distributedÚdistributedrL   Ú&torch.distributed._shard.sharding_specÚ_shardÚsharding_specÚ
shard_specÚ"torch.distributed.distributed_c10dÚdistributed_c10dÚc10dÚ'torch.distributed._shard.sharded_tensorr   r   r   r   r	   Ú:torch.distributed._shard.sharding_spec.chunk_sharding_specr
   Ú$torch.distributed.fsdp._common_utilsr   Ú'torch.distributed.fsdp._fsdp_extensionsr   Ú#torch.distributed.fsdp._shard_utilsr   Útorch.distributed.remote_devicer   Útorch.distributed.tensorr   r   r   r"   Ú6torch.distributed.tensor.parallel._data_parallel_utilsr   r   Ú__all__r´   r%   r-   rµ   r3   r7   rD   r¶   rU   rX   ÚShardingSpecr„   rb   rx   rŽ   r@   r‘   r”   r   © r.   r,   ú<module>rÍ      s5  ðã ß ã Ý  ß ;Ó ;ß 1Ð 1÷ó õ AÝ XÝ DÝ BÝ LÝ :ß TÓ T÷ð Ð
€ð>�Wð >  u§z¡z°5·:±:Ð'=Ñ!>ó >ð$>˜ð > sð >¨u°U·Z±ZÀÇÁÐ5KÑ/Ló >ð
*˜7ð * u¨U¯Z©Z¸¿¹Ð-CÑ'Dó *ð
 ð 
¸ð 
Àó 
ð%Øð%Ø×)Ñ)ð%àó%ðP�7ð ˜t×0Ñ0ó ðØ
×
!Ñ
!ðØ+0¯<©<ðØ?Bðà×Ñóð>I
Ø�L‰LðI
à
ðI
ð ðI
ð ð	I
ð
 	×ÑðI
ð ‡\�\óI
ðX>
Ø�L‰Lð>
à
ð>
ð ð>
ð ó	>
ðB	7Ø�L‰Lð	7à
ˆ5�<‰<˜˜e™Ð$Ñ%ó	7ðØðà˜dÑ"ðð ‡\�\óô*I8˜õ I8r.   