o
    H&iQ                     @   s  U d dl Z d dlZd dlZd dlZd dlZd dlZ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 d dlmZ ddlmZ d dlmZmZ erOddlmZ g dZed	d
G dd deZi Ze	ee
ej f ed< dd Ze ee j< G dd dZ e j!e j"e j#ej$e j%j&ej'e j(e  e)de*dd
Z+e,eD ]	Z-e.ee-e+e-< qdddefddZ/de j0j1dejfddZ2i Z3e	ee4e4f ejf ed< de j0j1dejfddZ5ed	d
ded ed! d"e	e4d#f fd$d%Z6ed	d
d<d&ed'e7fd(d)Z8ed	d
d*d+ Z9ed	d
d,ed-efd.d/Z:ed	d
				d=ded ee d"ee	e4ef  d0eee  d1ee	e4ef  d2e7dee fd3d4Z;ed	d
			d>d5e j<j=de4d ee d"ee	e4ef  d2e7dee fd6d7Z>d8ejd eed9f d"e	e4ef d2e7dee f
d:d;Z?dS )?    N)	AnyCallableDictListOptionalTuple
NamedTuplecastTYPE_CHECKING)boolean_dispatched   )compatibility)OpOverloadPacket
OpOverload)Argument)ArgsKwargsPaircheck_for_mutable_operationget_signature_for_torch_opcreate_type_hinttype_matchesnormalize_functionnormalize_moduleF)Zis_backward_compatiblec                   @   s2   e Zd ZU dZeedf ed< eeef ed< dS )r   z<
    Simple named tuple for wrapping args/kwargs pairs.
    .argskwargsN)	__name__
__module____qualname____doc__r   r   __annotations__r   str r    r    DC:\wamp64\www\opt\env\Lib\site-packages\torch/fx/operator_schemas.pyr      s   
 r   _manual_overridesc                  C   s>   g } dd }|  t| dtfdd}|  t| | S )Nc                 S      d S Nr    )selfr    r    r!   nonzero       z!_nonzero_schemas.<locals>.nonzeroas_tuplec                S   r#   r$   r    )r%   r(   r    r    r!   r&   $   r'   )appendinspect	signaturebool)
signaturesr&   r    r    r!   _nonzero_schemas   s   r.   c                   @   s   e Zd Zdd ZdS )_FakeGlobalNamespacec                 C   s   |dkrt S td)Ntorchz!Expected a torch namespace lookup)r0   RuntimeError)r%   namer    r    r!   __getattr__-   s   z _FakeGlobalNamespace.__getattr__N)r   r   r   r3   r    r    r    r!   r/   ,   s    r/   t)
TensorZDeviceZLayoutnumberFutureZAnyEnumTypeZQSchemeZ	__torch__NoneTyper4   ts_typeztorch._C.JitTypereturnc                 C   s   t | jtS )z
    Convert a TorchScript type to a Python type (including subtypes) via
    eval'ing the annotation_str. _type_eval_globals sets up expressions
    like "List" and "Future" to map to actual types (typing.List and jit.Future)
    )evalZannotation_str_type_eval_globals)r9   r    r    r!    _torchscript_type_to_python_type:   s   r=   	ts_schemac              	   C   s  ddl m} g }| jD ]\}t|j}| r|jn|j}|jdkr$|jnd}|j	r,|j
n|j}|dkr\||jks:J |j}t|D ]\}}	|	j|jksMJ ||	j|j|	j|	jd||< qA||||||d qdd | jD }
t|
dkryd }nt|
d	kr|
d }nt|
}t j||d
S )Nr   )	Parameterr%   inputfrom)r2   kinddefault
annotationc                 S   s   g | ]}t |jqS r    )r=   type).0retr    r    r!   
<listcomp>Z   s    z9_torchscript_schema_to_signature_impl.<locals>.<listcomp>r   )return_annotation)r*   r?   	argumentsr=   rE   Zhas_default_valuedefault_valueemptyr2   Z
kwarg_onlyKEYWORD_ONLYPOSITIONAL_OR_KEYWORDPOSITIONAL_ONLY	enumeraterB   rC   rD   r)   returnslentuple	Signature)r>   r?   
parametersargarg_typerC   r2   rB   idxpZreturn_typesreturn_typer    r    r!   %_torchscript_schema_to_signature_implB   s*   


r[   _SCHEMA_TO_SIGNATURE_CACHEc                 C   s6   | j | jf}t|}|d ur|S t| }|t|< |S r$   )r2   Zoverload_namer\   getr[   )r>   	cache_keyZ	cache_valresr    r    r!    _torchscript_schema_to_signaturef   s   
r`   targetr   )r   .r   r   c                 C   s   t | dd\}}|r\|r^g }t||D ]'\}}z|j|i | |||f W q ty: } zW Y d }~qd }~ww dd }	t|dkrGd S t|dkrY|d \}
}|	| d S 	 d S d S d S )NT)return_schemasc                 S   s   | j rtd|  dd S )Nz!Tried to trace mutable operation z|. FX only supports functional code, so operations that mutate operands in-place (e.g. via `out` arguments) are not supported)Z
is_mutabler1   )schemar    r    r!   throw_if_mutable   s   z5check_for_mutable_operation.<locals>.throw_if_mutabler   r   )r   zipbindr)   	TypeErrorrR   )ra   r   r   r-   schemasmatched_schemascandidate_signaturerc   erd   _Zschema_to_checkr    r    r!   r   q   s(   r   oprb   c                    s   t  tr
 jg}n7t  tr fdd  D }n&t }|r*|r(|dfS dS tjj	
 }|du r;|r9dS dS tj|}dd |D }|rN||fS |S )a  
    Given an operator on the `torch` namespace, return a list of `inspect.Signature`
    objects corresponding to the overloads of that op.. May return `None` if a signature
    could not be retrieved.

    Args:
        op (Callable): An operator on the `torch` namespace to look up a signature for

    Returns:
        Optional[List[inspect.Signature]]: A list of signatures for the overloads of this
            operator, or None if the operator signatures could not be retrieved. If
            return_schemas=True, returns a tuple containing the optional Python signatures
            and the optional TorchScript Function signature
    c                    s   g | ]}t  |jqS r    )getattr_schema)rF   overloadrm   r    r!   rH      s    z.get_signature_for_torch_op.<locals>.<listcomp>N)NNc                 S   s   g | ]}t |qS r    )r`   rF   rc   r    r    r!   rH      s    )
isinstancer   ro   r   Z	overloadsr"   r]   r0   jitZ	_builtinsZ_find_builtin_CZ_jit_get_schemas_for_operator)rm   rb   rh   overrideZaten_fnr-   r    rq   r!   r      s   



r   c              
   C   s   zEt | ttfrCt | trdd }ndd }t| dkr!|tW S | d }| D ]}t||r/q't||r7|}q'|t  W S ||W S W | S  ty` } ztd|   W Y d }~| S d }~ww )Nc                 S   s   t |  S r$   )r   xr    r    r!   ret_type   s   z"create_type_hint.<locals>.ret_typec                 S   s   t | df S )N.)r   rw   r    r    r!   ry      s   r   z@We were not able to successfully create type hint from the type )	rs   listrS   rR   r   
issubclass	Exceptionwarningswarn)rx   ry   Z	base_typer4   rk   r    r    r!   r      s.   






r   signature_typeargument_typec                    s&  t | d| }|  u rdS |tju r#|  kr#| j}t fdd|D S | tt u r/ tu r/dS t | dd tthv rj| jd t	sNt
d|  d dS t  dd tthv r`t jd S fd	d
}| S | tu ru tju rudS | tju r tthv rdS t	 rt	| rt | S dS )N
__origin__Tc                 3   s    | ]}t | V  qd S r$   )r   rF   c)r   r    r!   	<genexpr>       ztype_matches.<locals>.<genexpr>r   z.Does not support nested parametric types, got z. Please file a bug.Fc                    sB   t | dd tthvrdS | j}| jdkrdS t fdd|D S )Nr   F)r    Tc                 3   s"    | ]}|t u pt| V  qd S r$   )Ellipsisr{   r   sig_el_typer    r!   r      s     z=type_matches.<locals>.is_homogeneous_tuple.<locals>.<genexpr>)rn   rS   r   __args__all)r4   	containedr   r    r!   is_homogeneous_tuple   s   
z*type_matches.<locals>.is_homogeneous_tuple)rn   typingUnionr   anyr   intrz   r*   isclassr}   r~   r{   r0   ZdtypenumbersNumberfloat)r   r   Zsig_origin_typeZsig_containedr   r    )r   r   r!   r      s4   


	
r   	arg_typeskwarg_typesnormalize_to_only_use_kwargsc                 C   sH  |du ri }d}t | tjsVt | ttfsV| }| tv r?t | tr"J t|  }|d |d }	}
t|	j	t|
j	kr=dS |	}t
|sEJ tt|}t||||}|S t
| s\J t| }g }|r"|D ]#}z|j|i | || W qg ty } zW Y d}~qgd}~ww t|dkr	 |S t|dkrt|d |||}|S |dus|dur|r|nttt d}|r|ni }|D ]G}d}z!|j|i |}|j D ]\}}|j	| }|ot|j|}qW n ty } zd}W Y d}~nd}~ww |rt||||} |S q|S d	d
d |D }tdt|  d| |S )a  
    Returns normalized arguments to PyTorch functions. This means that
    `args/kwargs` will be matched up to the functional's
    signature and return exclusively kwargs in positional order if
    `normalize_to_only_use_kwargs` is True.
    Also populates default values. Does not support positional-only
    parameters or varargs parameters (*args, **kwargs). Does not support modules.

    May require `arg_types` and `kwarg_types` in order to disambiguate overloads.

    Args:
        target (Callable): Function that we are normalizing
        args (Tuple[Any]): Tuple of args to the function
        kwargs (Optional[Dict[str, Any]]): Dict of kwargs to the function
        arg_types (Optional[Tuple[Any]]): Tuple of arg types for the args
        kwarg_types (Optional[Dict[str, Any]]): Dict of arg types for the kwargs
        normalize_to_only_use_kwargs (bool): Whether to normalize to only use kwargs.

    Returns:

        Returns normalized_args_and_kwargs, or `None` if not successful.
    Nif_trueif_falser   r   r    TF
c                 s   s    | ]}t |V  qd S r$   )r   rr   r    r    r!   r   ^  s    z%normalize_function.<locals>.<genexpr>z Tried to normalize arguments to zy but the schema match was ambiguous! Please provide argument types to the normalize_arguments() call. Available schemas:
)rs   typesBuiltinFunctionTyper   r   r   r   r*   r+   rU   callableunwrap&_args_kwargs_to_normalized_args_kwargsr   rf   r)   rg   rR   r	   r   r   rJ   itemsr   rD   joinr1   r0   typename)ra   r   r   r   r   r   new_args_and_kwargsZtarget_for_analysisZ
dispatchedr   r   sigZtorch_op_schemasri   rj   rk   Zsig_matchesZbound_typesZarg_namerW   paramZschema_printoutsr    r    r!   r     s   0
	r   rootc           
   
   C   s   z|  |}W n ty } z	td| d|d}~ww t|jdrI|jj}ttj|d|jkrIt	
t	|j}|du r@i }t||||}	|	S dS )a(  
    Returns normalized arguments to PyTorch modules. This means that
    `args/kwargs` will be matched up to the functional's
    signature and return exclusively kwargs in positional order if
    `normalize_to_only_use_kwargs` is True.
    Also populates default values. Does not support positional-only
    parameters or varargs parameters (*args, **kwargs).

    Args:
        root (nn.Module): root module upon which we query modules
        target (Callable): Function that we are normalizing
        args (Tuple[Any]): Tuple of args to the function
        kwargs (Optional[Dict[str, Any]]): Dict of kwargs to the function
        normalize_to_only_use_kwargs (bool): Whether to normalize to only use kwargs.

    Returns:

        Returns normalized_args_and_kwargs, or `None` if not successful.
    z$Tried to normalize node with target z# but root did not have that target!Nr   )Zget_submoduleAttributeErrorr1   hasattr	__class__r   rn   r0   nnr*   r+   r   forwardr   )
r   ra   r   r   r   Zsubmodrk   	classnamer   r   r    r    r!   r   e  s&   r   r   .c           	         s   t jjt jjh t fdd| j D r#t| j g dkr#dS | j	|i |}|
  i }g }t| jD ]\}}|sM|t|k rM||j|  q8|j| ||< q8tt||S )a  
    Given a call target, args, and kwargs, return the arguments normalized into
    an ArgsKwargsPair, or None if the type signature is not supported by
    this normalization.

    Args:

        sig (inspect.Signature): Signature object for the target
        args (Tuple): Arguments that appear at the callsite for `target`
        kwargs (Dict): Keyword arguments that appear at the callsite for `target`
        normalize_to_only_use_kwargs (bool): Whether to normalize to only use kwargs.

    Returns:

        Optional[ArgsKwargsPair]: Normalized args and kwargs for `target`, or `None` if
            this target is not supported.
    c                 3   s    | ]}|j  vV  qd S r$   )rB   )rF   rY   Zsupported_parameter_typesr    r!   r     r   z9_args_kwargs_to_normalized_args_kwargs.<locals>.<genexpr>)r@   rA   to	generatorN)r*   r?   rN   rM   r   rU   valuesrz   keysrf   apply_defaultsrP   rR   r)   rJ   r   rS   )	r   r   r   r   Z
bound_argsZ
new_kwargsnew_argsir   r    r   r!   r     s   r   )F)NNNF)NF)@r0   r*   r   r   r   enumr}   r   r   r   r   r   r   r   r	   r
   Ztorch._jit_internalr   Z_compatibilityr   Z
torch._opsr   r   noder   __all__r   r"   rT   r   r.   r&   r/   r5   ZdeviceZlayoutr   rt   r7   EnumZqschemerE   TypeVarr<   dirkrn   r=   ru   ZFunctionSchemar[   r\   r   r`   r   r,   r   r   r   r   r   Moduler   r   r    r    r    r!   <module>   s   
 ,

"$#!
/
a&
