o
    ht                  
   @   sp  d dl Z d dlmZmZmZmZmZmZmZm	Z	m
Z
mZ d dlmZ d dlmZ d dlmZ e
eef Zeedf Ze	dZeZeeef Zg dZd	ed
efddZefdedeeegdf deegef d
dfddZdeded	ed
dfddZ	d dededee d
ee fddZde fd	ededeegdf d
dfddZ!e fded	edeegdf d
dfddZ"dS )!    N)
Callable
CollectionListMappingMutableMappingOptionalTupleTypeVarUnioncast)STATE_DICT_TYPE)ShardedTensor)DTensor.T)traverse_state_dictset_elementget_elementprint_tensorvaluereturnc                 C   s   t | tjS N)
isinstancetorchTensor)r    r   \/var/www/html/ai/venv/lib/python3.10/site-packages/torch/distributed/checkpoint/_traverse.py_keep_visiting_tensors    s   r   
state_dictvisitorkeep_traversingc                    s\   dt dtf fdd dtdt ddf fdd|  D ]\}}t|f| qdS )	a}  
    Invoke ``visitor`` for each value recursively in ``state_dict``.
    Traversal is short-circuited when if finds a collection for which ``keep_visiting_tensors`` evaluates
    to false for all elements.
    By default, all collections with at least one ``torch.Tensor`` element are traversed.
    Visitor takes a path argument that is a tuple of the keys used to reach it.
    r   r   c                    sh   t | tr
|  }n
t | tr| }ndS |D ]}t |ttfr& |s& dS d ur1|r1 dS qdS )NTF)r   r   valueslist)r   r    entry)_is_terminalr   r   r   r#   2   s   


z)traverse_state_dict.<locals>._is_terminalpathNc                    s~    |r| | d S t |tr%| D ]\}}| t|f | qd S t |tr;t|D ]\}}| |f | q.d S d S r   )r   r   itemsstrr!   	enumerate)r$   r   kvi)r#   _traverse_objr   r   r   r+   B   s   

z*traverse_state_dict.<locals>._traverse_obj)STATE_DICT_ITEMboolOBJ_PATHr%   r&   )r   r   r   keyr   r   )r#   r+   r   r   r   r   %   s
   
r   	root_dictr$   c           	      C   s   t t| }dtt dtddfdd}tdt|D ];}||d  }|| }t tt|tkr/i ng }t	|t
rAt t|||}q||| || du rP|||< || }q|d }t|tkri|t tt || |||< dS )	zH
    Set ``value`` in ``root_dict`` along the ``path`` object path.
    lstidxr   Nc                 S   s*   t | |kr| d  t | |ksd S d S r   )lenappend)r1   r2   r   r   r   extend_listX   s   
z set_element.<locals>.extend_list   )r   CONTAINER_TYPEr   r,   intranger3   typer&   r   r   
setdefault)	r0   r$   r   cur_containerr5   r*   prev_keyr/   def_valr   r   r   r   P   s$   



r   default_valuec                 C   sv   t t| }|D ],}t|tu rt|trt||k r|  S nt|tr(||vr,|  S t t|| }qt tt	 |S )ze
    Retrieve the value at ``path``from ``root_dict``, returning ``default_value`` if not found.
    )
r   r8   r;   r9   r   r!   r3   r   r   r   )r0   r$   r@   	cur_valuepartr   r   r   r   r   s   
r    prefix	print_func                 C   s   t | tu r'|| d|    |  D ]}t|j|jj d|d qd S t | tu rA|| d|    t| j	|d d S t
| tjrT|| d|    d S || dt |   d S )Nz ShardedTensor size:  )rE   z DistributedTensor size: z Tensor size: z Type: )r;   r   sizelocal_shards_print_nestedtensormetadatashard_offsetsr   _local_tensorr   r   r   )r   rD   rE   shardr   r   r   rI      s$   
rI   c                 C   s   t |t| |d dS )z
    Callback that can be used with traverse_state_dict to print its content.
    By default the content is printed using the builtin ``print`` but this can
    be change by passing a different ``print_fun` callable.
    )rD   rE   N)rI   r&   )r$   r   rE   r   r   r   r      s   
r   r   )#r   typingr   r   r   r   r   r   r   r	   r
   r   %torch.distributed.checkpoint.metadatar   +torch.distributed._shard.sharded_tensor.apir   torch.distributed._tensorr   r&   r9   	PATH_ITEMr.   r   objectr,   r8   __all__r-   r   r   r   r   printrI   r   r   r   r   r   <module>   s|   0
+
%

