U
    9%e;8                     @   s   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mZmZ d dlmZ d dlmZ d dlm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d de	jZe  de j!Z"G dd deZ#G dd deZ$dS )    N)cached_property)ir)typingtypes	debuginfoitanium_manglercgutils)
Dispatcher)BaseContext)MinimalCallConv)	cmathdecl)	datamodel   )nvvm)codegen	nvvmutilsufuncs)cuda_data_managerc                       s$   e Zd Zdd Z fddZ  ZS )CUDATypingContextc                 C   s   ddl m}m}m}m} ddlm}m} | |j	 | |j	 | |j	 | t
j	 | |j	 | |j	 | |j d S )Nr   )cudadeclcudamathlibdevicedeclvector_typesr   )enumdecl
cffi_utils) r   r   r   r   numba.core.typingr   r   install_registryregistryr   Ztyping_registry)selfr   r   r   r   r   r    r    P/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/numba/cuda/target.pyload_additional_registries   s    z,CUDATypingContext.load_additional_registriesc                    s   ddl m} t|trt||sz
|j}W nj tk
r   |jsHtd|j	 }d|d< |
dd|d< |
dd|d< ||j|}||_|}Y nX tt| |S )	Nr   )CUDADispatcherz<using cpu function on device but its compilation is disabledTZdevicedebugFopt)Znumba.cuda.dispatcherr#   
isinstancer	   Z_CUDATypingContext__dispatcherAttributeErrorZ_can_compile
ValueErrortargetoptionscopygetZpy_funcsuperr   resolve_value_type)r   valr#   r)   Zdisp	__class__r    r!   r-   "   s"    



z$CUDATypingContext.resolve_value_type)__name__
__module____qualname__r"   r-   __classcell__r    r    r/   r!   r      s   r   z	[^a-z0-9]c                       s   e Zd ZdZdZd* fdd	Zedd Zedd Zd	d
 Z	dd Z
dd Zdd Zedd Zedd Zedd ZdddddZd+ddZdd Zd d! Zd"d# Zd$d% Zd&d' Zd(d) Z  ZS ),CUDATargetContextTcudac                    s    t  || ttj| _d S N)r,   __init__r   chainr   Zdefault_managerZdata_model_manager)r   Z	typingctxtargetr/   r    r!   r8   F   s    zCUDATargetContext.__init__c                 C   s   t jS r7   )r   	DIBuilderr   r    r    r!   r;   L   s    zCUDATargetContext.DIBuilderc                 C   s   dS )NFr    r<   r    r    r!   enable_boundscheckP   s    z$CUDATargetContext.enable_boundscheckc                 C   s   | j |S r7   )_internal_codegenZ_create_empty_module)r   namer    r    r!   create_moduleV   s    zCUDATargetContext.create_modulec                 C   s   t d| _d | _d S )Nznumba.cuda.jit)r   ZJITCUDACodegenr>   _target_datar<   r    r    r!   initY   s    zCUDATargetContext.initc                 C   s   ddl m}m}m} ddl m}m}m} ddl m}m} ddl m	}	 ddl
m}
 ddlm} ddlm} d	d
lm}m}m}m}m} ddlm} | |j | |
j | |j | |j | |	j | |j | |j d S )Nr   )numberstupleobjslicing)rangeobj	iteratorsenumimpl)unicodecharseq)	cmathimpl)cffiimpl)arrayobj)
npdatetimer   )cudaimpl	printimpllibdeviceimplmathimplr   )ndarray)Znumba.cpythonrC   rD   rE   rF   rG   rH   rI   rJ   rK   Z
numba.miscrL   Znumba.nprM   rN   r   rO   rP   rQ   rR   r   Znumba.np.unsaferS   r   r   Zimpl_registry)r   rC   rD   rE   rF   rG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rR   r   rS   r    r    r!   r"   ]   s     z,CUDATargetContext.load_additional_registriesc                 C   s   | j S r7   )r>   r<   r    r    r!   r   u   s    zCUDATargetContext.codegenc                 C   s"   | j d krtt j| _ | j S r7   )rA   llZcreate_target_datar   ZNVVMZdata_layoutr<   r    r    r!   target_datax   s    
zCUDATargetContext.target_datac                    s*   ddl m  d}t fdd|D }|S )z
        Some CUDA intrinsics are at the module level, but cannot be treated as
        constants, because they are loaded from a special register in the PTX.
        These include threadIdx, blockDim, etc.
        r   r6   )Z	threadIdxZblockDimZblockIdxZgridDimZlaneidZwarpsizec                    s   g | ]}t  |fqS r    )r   Module).0ncrV   r    r!   
<listcomp>   s   z;CUDATargetContext.nonconst_module_attrs.<locals>.<listcomp>)Znumbar6   tuple)r   Z	nonconstsZnonconsts_with_modr    rV   r!   nonconst_module_attrs~   s    z'CUDATargetContext.nonconst_module_attrsc                 C   s   t | S r7   )CUDACallConvr<   r    r    r!   	call_conv   s    zCUDATargetContext.call_convr    Nabi_tagsuidc                C   s   t j||||dS )Nr_   )r   Zmangle)r   r?   argtypesr`   ra   r    r    r!   mangler   s    
zCUDATargetContext.manglerc	              	   C   sV   t j|jdd}	|  j|j d|	||d}
|
| | |
||	||||}|
|fS )a  
        Adapt a code library ``codelib`` with the numba compiled CUDA kernel
        with name ``fname`` and arguments ``argtypes`` for NVVM.
        A new library is created with a wrapper function that can be used as
        the kernel entry point for the given kernel.

        Returns the new code library and the wrapper function.

        Parameters:

        codelib:       The CodeLibrary containing the device function to wrap
                       in a kernel call.
        fndesc:        The FunctionDescriptor of the source function.
        debug:         Whether to compile with debug.
        lineinfo:      Whether to emit line info.
        nvvm_options:  Dict of NVVM options used when compiling the new library.
        filename:      The source filename that the function is contained in.
        linenum:       The source line that the function is on.
        max_registers: The max_registers argument for the code library.
        cudapynsZ_kernel_)Z
entry_namenvvm_optionsmax_registers)r   prepend_namespacellvm_func_namer   Zcreate_libraryr?   Zadd_linking_librarygenerate_kernel_wrapper)r   Zcodelibfndescr$   lineinforg   filenamelinenumrh   kernel_namelibrarywrapperr    r    r!   prepare_cuda_kernel   s"     

  z%CUDATargetContext.prepare_cuda_kernelc           !   
      s  |j }| |}	t|	j}
tt |
}| dttd| j	
tjg|
 }t||j}tj|jdd}t|| t d}|s|r|o| }| j|| |d}| ||j|| |||  fdd}|d	}g }g }d
D ](}||d|  ||d|  q|	| j}| j	||tj||\}}|r:t||j |  W 5 Q R X | |!|j" t#|j$j%d}|&|||j'dd}|(|d}t)*|}| |^ t+d
|D ] \}}|,|} |-| | qt+d
|D ] \}}|.|} |-| | qW 5 Q R X W 5 Q R X |  t/0  |1 |sb|rj|2  |2  |3 j  S )z
        Generate the kernel wrapper in the given ``library``.
        The function being wrapped is described by ``fndesc``.
        The wrapper function is returned.
        zcuda.kernel.wrapper    rd   re   r   )modulefilepathZcgctxdirectives_onlyc                    s4    j |  }ttd|}t|jjd |_|S )Nrt   )	r?   r   add_global_variabler   IntTypeConstanttypepointeeinitializer)Zpostfixr?   gvZwrapfnZwrapper_moduler    r!   define_error_gv   s    
zBCUDATargetContext.generate_kernel_wrapper.<locals>.define_error_gvZ__errcode__Zxyzz	__tid%s__z__ctaid%s__N	monotonicr   )4rb   Zget_arg_packerlistZargument_typesr   FunctionTypeZVoidTyper@   ry   r^   Zget_return_typer   ZpyobjectFunctionrj   r   ri   r?   Z	IRBuilderZappend_basic_blockr;   Zmark_subprogramargsZmark_locationappendZfrom_argumentsZcall_functionvoidr   Z	if_likelyZis_okZret_voidZif_thennot_Zis_python_excrz   r{   r|   ZcmpxchgcodeZextract_valuer   ZSRegBuilderziptidstoreZctaidr   Zset_cuda_kernelZadd_ir_modulefinalizeZget_function)!r   rq   rl   rp   r$   rm   rn   ro   rb   ZarginfoZargtysZwrapfntyZfntyfuncprefixedbuilderrw   r   r   Zgv_excZgv_tidZgv_ctaidiZcallargsstatus_oldZxchgchangedZsregdimZptrr.   r    r   r!   rk      s    



         


$

z)CUDATargetContext.generate_kernel_wrapperc              	      s   |j } fddt|jddD }ttdt|}t||}tj	}t
j||jd|d}	d|	_d	|	_||	_ |j}
 |
}d
|d   |	_ttd}||	|d} | |} fdd|jD } fdd|jD } j||||jj|||j|jdd | S )i
        Unlike the parent version.  This returns a a pointer in the constant
        addrspace.
        c                    s   g | ]}  tj|qS r    )get_constantr   byte)rX   r   r<   r    r!   rZ     s   z9CUDATargetContext.make_constant_array.<locals>.<listcomp>A)order   Z_cudapy_cmem	addrspaceinternalT   r   genericc                    s   g | ]}  tj|qS r    r   r   ZintprX   sr<   r    r!   rZ   2  s     c                    s   g | ]}  tj|qS r    r   r   r<   r    r!   rZ   3  s     N)datashapestridesitemsizeparentZmeminfo) ru   itertobytesr   	ArrayTypery   lenrz   r   ADDRSPACE_CONSTANTr   rx   r{   linkageglobal_constantr}   Zget_data_typeZdtypeZget_abi_sizeof
bit_lengthalignPointerTypeaddrspacecastZ
make_arrayr   r   Zpopulate_arraybitcastr   r   r   Z	_getvalue)r   r   ZarytyZarrlmodZ	constvalsZ
constarytyZconstaryr   r~   Zlldtyper   ZptrtyZgenptrZaryZkshapeZkstridesr    r<   r!   make_constant_array  s:    

 z%CUDATargetContext.make_constant_arrayc                 C   s   t |dd }ddt|g}|j|}|dkrdt j||j	|t
jd}d|_d|_||_|j	jj}||t
jS )	r   zutf-8    $Z__conststring__Nr   r   T)r   Zmake_bytearrayencodejoinr   Zmangle_identifierglobalsr+   rx   r{   r   r   r   r   r}   r|   elementr   Z
as_pointer)r   modstringtextr?   r~   Zchartyr    r    r!   insert_const_string<  s    
z%CUDATargetContext.insert_const_stringc                 C   s0   |j }| ||}ttd}|||dS )z
        Insert a constant string in the constant addresspace and return a
        generic i8 pointer to the data.

        This function attempts to deduplicate.
        r   r   )ru   r   r   r   ry   r   )r   r   r   r   r~   Z	charptrtyr    r    r!   insert_string_const_addrspaceR  s    z/CUDATargetContext.insert_string_const_addrspacec                 C   s   dS )zRun O1 function passes
        Nr    )r   r   r    r    r!   optimize_function^  s    z#CUDATargetContext.optimize_functionc                 C   s
   t |S r7   )r   get_ufunc_info)r   Z	ufunc_keyr    r    r!   r   k  s    z CUDATargetContext.get_ufunc_info)r6   )N)r1   r2   r3   Zimplement_powi_as_math_callZstrict_alignmentr8   propertyr;   r=   r@   rB   r"   r   rU   r   r\   r^   rc   rs   rk   r   r   r   r   r   r4   r    r    r/   r!   r5   B   s4   




 
$Y+r5   c                   @   s   e Zd ZdS )r]   N)r1   r2   r3   r    r    r    r!   r]   o  s   r]   )%re	functoolsr   Zllvmlite.bindingZbindingrT   Zllvmliter   Z
numba.corer   r   r   r   r   Znumba.core.dispatcherr	   Znumba.core.baser
   Znumba.core.callconvr   r   r   r   Zcudadrvr   Z
numba.cudar   r   r   Znumba.cuda.modelsr   r   compileIZVALID_CHARSr5   r]   r    r    r    r!   <module>   s$   *  /