o
    H&i                  
   @   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   QC:\wamp64\www\opt\env\Lib\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#   3   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$   r   kvi)r#   _traverse_objr   r   r   r+   C   s   

z*traverse_state_dict.<locals>._traverse_obj)STATE_DICT_ITEMboolOBJ_PATHr%   r&   )r   r   r   keyr   r   )r#   r+   r   r   r   r   %   s
   
r   	root_dictr$   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 )	z>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_listW   s   
z set_element.<locals>.extend_list   )r   CONTAINER_TYPEr   r,   intranger3   typer&   r   r   
setdefault)	r0   r$   r   Zcur_containerr5   r*   Zprev_keyr/   Zdef_valr   r   r   r   Q   s$   



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 )z[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$   r=   Z	cur_valuepartr   r   r   r   q   s   
r    prefix	print_func                 C   s   t | tu r'|| d|    |  D ]}t|j|jj d|d qd S t | tu rA|| d|    t| j	|d d S t
| tjrT|| d|    d S || dt |   d S )Nz ShardedTensor size:  )rA   z DistributedTensor size: z Tensor size: z Type: )r;   r   sizeZlocal_shards_print_nestedZtensormetadataZshard_offsetsr   Z_local_tensorr   r   r   )r   r@   rA   Zshardr   r   r   rD      s$   
rD   c                 C   s   t |t| |d dS )z
    Use this callback 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.
    )r@   rA   N)rD   r&   )r$   r   rA   r   r   r   r      s   r   r   )#r   typingr   r   r   r   r   r   r   r	   r
   r   Z%torch.distributed.checkpoint.metadatar   Z+torch.distributed._shard.sharded_tensor.apir   Ztorch.distributed._tensorr   r&   r9   Z	PATH_ITEMr.   r   objectr,   r8   __all__r-   r   r   r   r   printrD   r   r   r   r   r   <module>   s|   0
,
#

