a
    h|                     @   s  d dl mZmZmZ d dl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 d dlmZ g dZed	d
e
eeeedddZed	d
G dd deZed	d
de
eeej  ddddZed	d
eedddZed	d
e
eedddZdS )    )Any
NamedTupleOptionalN)compatibility)Graph)GraphModule)map_argNodeTarget)	ShapeProp)replace_target_nodes_with
size_bytesget_size_of_all_nodesget_tensor_metaget_size_of_nodeF)Zis_backward_compatible)	fx_moduleold_op
old_targetnew_op
new_targetc           	         s   t  }i  | jjD ]}|j|kr|j|krt|j fdd}t|j fdd}t|t	s`J t|t
snJ ||||||j |< q|| fdd |< q|| _dS )zModifies all nodes in fx_module.graph.nodes which match the specified op code and target,
    and updates them to match the new op code and targetc                    s    |  S N nZval_mapr   P/var/www/auris/lib/python3.9/site-packages/torch/fx/passes/graph_manipulation.py<lambda>#       z+replace_target_nodes_with.<locals>.<lambda>c                    s    |  S r   r   r   r   r   r   r   $   r   c                    s    |  S r   r   r   r   r   r   r   +   r   N)r   graphnodesoptargetr   argskwargs
isinstancetupledictZcreate_nodenameZ	node_copy)	r   r   r   r   r   Z	new_graphnoder"   r#   r   r   r   r      s    

r   c                   @   s   e Zd ZU eed< eed< dS )r   output_size
total_sizeN)__name__
__module____qualname__int__annotations__r   r   r   r   r   /   s   
r   )r   r"   returnc                 C   sB   |durt | j|  | jjD ]}|jdkr0 q>t| ||_qdS )zGiven a fx graph module, update each node with its total size (weights + bias + output)
    and its output_size(output). For a non-module node, the total size is the output size.
    return total sizeNoutput)r   	propagater   r   r    r   r   )r   r"   r(   r   r   r   r   5   s    
r   )r(   r0   c                 C   s$   | j d}|s td|  d|S )Ntensor_metazNode zQ has no tensor metadata associated with it! Check that shape propagation has run.)metagetRuntimeError)r(   r3   r   r   r   r   G   s    
r   )r   r(   r0   c                 C   s   d}|j dkrFt|  }||j }| }|D ]\}}|| 7 }q0t|}|j }	||	7 }|jr|t	j
g |jd }
nt	jg |jd }
|
| }|
|	 }t||S )zGiven a node with node.dtype and node.shape, return its total size and its output size.
    total_size = weights + bias + output_size
    r   Zcall_module)dtype)r    r&   Znamed_modulesr!   Znamed_parametersZnumelr   shapeZis_quantizedtorchZ_empty_affine_quantizedr7   Zelement_sizeZtensorr   )r   r(   Ztotal_num_of_elemsZsubmodule_dict	submodule
parameters_namepr3   Zoutput_elemZsize_per_elem_bytesr*   r)   r   r   r   r   T   s$    


r   )N)typingr   r   r   r9   Ztorch.fx._compatibilityr   Ztorch.fx.graphr   Ztorch.fx.graph_moduler   Ztorch.fx.noder   r	   r
   Ztorch.fx.passes.shape_propr   __all__strr   r   listZTensorr   r   r   r   r   r   r   <module>   s4   	 