o
    ߗi3
                     @   s   d dl Z d dlmZ d dlmZmZmZ d dlZd dlmZ e 	e
Zdd Zdd ZG d	d
 d
eZdd Zdeeej eejdf f deeej eejdf f fddZeG dd dZdS )    N)	dataclass)ListTupleUnion)fxc                    s&   g   fdd}t j| |}| fS )z\
    Flatten the args into a list form and detach the tensors from computational graph.
    c                    s8   t | tjr|  | j} | |S  |  | S N)
isinstancetorchTensordetachrequires_grad_requires_gradappend)avalflat_detached_args a/home/ubuntu/transcripts/venv/lib/python3.10/site-packages/torch/distributed/pipelining/_utils.pyextract_tensor_args   s   

z0flatten_args_detach.<locals>.extract_tensor_argsr   nodemap_aggregate)argsr   new_argsr   r   r   flatten_args_detach   s   
r   c                    s"   g   fdd}t j| |  S )z,
    Flatten the args into a list form.
    c                    s     |  | S r   )r   )r   	flat_argsr   r   r   ,   s   
z)flatten_args.<locals>.extract_tensor_argsr   )r   r   r   r   r   flatten_args&   s   r   c                   @   s   e Zd ZdZdS )PipeliningShapeErrorz5Shape mismatch between configured and runtime values.N)__name__
__module____qualname____doc__r   r   r   r   r   9   s    r   c                 C   s   |j |j kst|  d|j  d|j  |j|jks(t|  d|j d|j | | ks@t|  d|  d|  d S )Nz  has a shape mismatch: expected z actual z  has a dtype mismatch: expected z! has a stride mismatch: expected )shaper   dtypestride)descexpectedgivenr   r   r   validate_tensor_metadata=   s   r*   expected_tensors.actual_tensorsc                 C   sf   t |t |krt|  dt | dt | dtt |D ]}t|  d| || ||  qd S )Nz: Number of values (z") does not match expected number ()z: value )lenr   ranger*   )r'   r+   r,   ir   r   r   validate_tensors_metadataL   s   r1   c                   @   s,   e Zd ZU dZejed< eed< eed< dS )PipeInfoz>
    Captures information for a pipeline (`Pipe` object).
    graph
num_stageshas_loss_and_backwardN)	r    r!   r"   r#   r   Graph__annotations__intboolr   r   r   r   r2   [   s
   
 
r2   )loggingdataclassesr   typingr   r   r   r	   r   	getLoggerr    loggerr   r   RuntimeErrorr   r*   r
   r1   r2   r   r   r   r   <module>   s"   

