
    QVjirE                     v   U d Z ddlZddlZddlmZ ddlmZmZmZm	Z	 ddl
Z
ddlZ
ddl
mZ ddlmZmZ ddlmZ dd	lmZmZ d
a ej                    Z ej                    Zg aeeeg df         ee         f                  ed<    e e
j!        dd           Z"e	eee#df         Z$ e            a%dZ&ee
j!        j'                 ed<   de(fdZ) e)            r%e
j!        j*        Z*e
j!        j+        Z,e
j!        j-        Z.n ed          Z*de#de#fdZ,de#de#fdZ. ed          de#fd            Z/de(fdZ0d@de(de(fdZ1d Z2d Z3d Z4d Z5 G d  d!          Z6 G d" d          Z G d# d$e          Z7de$ddfd%Z8dAdee$         defd&Z9 ed          dAdee$         de:eef         fd'            Z;dAdee$         de*fd(Z<de#fd)Z=de	e#ee
j        f         de
j        fd*Z> G d+ d,          Z?d-ed.         de?fd/Z@d0 ZAd-efd1ZBdAdee$         defd2ZC	 dAd3e#dee$         defd4ZDdAde$ddfd5ZEdee         fd6ZFdefd7ZGde
j        de
j!        j'        fd8ZH	 dBd:e#de	e#ee
j        f         ddfd;ZIdBde	e#ee
j        f         de#fd<ZJdd=lKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZTmUZU dd>lVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_ g d?Z`dS )Cz
This package introduces support for the XPU backend, specifically tailored for
Intel GPU optimization.

This package is lazily initialized, so you can always import it, and use
:func:`is_available()` to determine if your system supports XPU.
    N)	lru_cache)AnyCallableOptionalUniondevice)_dummy_type_LazySeedTracker   )_get_device_index)EventStreamF_queued_calls_xpu_isInBadForkc                      dS NF r       L/root/voice-cloning/.venv/lib/python3.11/site-packages/torch/xpu/__init__.py<lambda>r      s     r   r   default_generatorsreturnc                  $    t           j        j        S )z(Return true if compile with XPU support.)torch_C_has_xpur   r   r   _is_compiledr   $   s    8r   _XpuDevicePropertiesr	   c                      t          d          Nz(PyTorch was compiled without XPU supportNotImplementedErrorr   s    r   _exchange_devicer$   1       !"LMMMr   c                      t          d          r!   r"   r   s    r   _maybe_exchange_devicer'   4   r%   r   )maxsizec                  ^    t                      sdS t          j                                        S )z*Return the number of XPU device available.r   )r   r   r   _xpu_getDeviceCountr   r   r   device_countr+   8   s)     >> q8'')))r   c                  &    t                      dk    S )z7Return a bool indicating if XPU is currently available.r   )r+   r   r   r   is_availabler-   @   s     >>Ar   Tincluding_emulationc                 l    t                      sdS | p"t          j                                        j        S )zKReturn a bool indicating if the current XPU device supports dtype bfloat16.F)r-   r   xpuget_device_propertieshas_bfloat16_conversions)r.   s    r   is_bf16_supportedr3   F   s5    >> u 	F9**,,Er   c                  .    t           ot                       S )z8Return whether PyTorch's XPU state has been initialized.)_initialized_is_in_bad_forkr   r   r   is_initializedr7   P   s    1 1 111r   c                    t                      r |              d S |                    dd          r.t                              | t	          j                               d S |                    dd          r.t                              | t	          j                               d S t                              | t	          j                    f           d S )Nseed_allFseed)	r7   get_lazy_seed_trackerqueue_seed_all	tracebackformat_stack
queue_seedr   append)callablekwargss     r   
_lazy_callrD   U   s     
G




 ::j%(( 	G--h	8N8P8PQQQQQZZ&& 	G))(I4J4L4LMMMMM   (I,B,D,D!EFFFFFr   c                  "    t                       dS )zInitialize PyTorch's XPU state.
    This is a Python API about lazy initialization that avoids initializing
    XPU until the first time it is accessed. Does nothing if the XPU state is
    already initialized.
    N)
_lazy_initr   r   r   initrG   c   s     LLLLLr   c            	      2   t                      st          t          d          rd S t          5  t                      r	 d d d            d S t	                      rt          d          t                      st          d          t          j	        
                                 dt          _        t                              d t                                          D                        	 t          D ]Z\  } }	  |              # t           $ r=}dt#          |           dd                    |           }t!          |          |d }~ww xY w	 t'          t          d           n# t'          t          d           w xY wdad d d            d S # 1 swxY w Y   d S )	Nis_initializingzuCannot re-initialize XPU in forked subprocess. To use XPU with multiprocessing, you must use the 'spawn' start methodz#Torch not compiled with XPU enabledTc              3      K   | ]}||V  	d S Nr   ).0callss     r   	<genexpr>z_lazy_init.<locals>.<genexpr>   s(      XXuRWXUXXXXXXr   z5XPU call failed lazily at initialization with error: z'

XPU call was originally invoked at:

 )r7   hasattr_tls_initialization_lockr6   RuntimeErrorr   AssertionErrorr   r   	_xpu_initrI   r   extendr<   	get_calls	Exceptionstrjoindelattrr5   )queued_callorig_tracebackemsgs       r   rF   rF   l   s0    74):;; 	 ! !  		! ! ! ! ! ! ! !  	I   ~~ 	H !FGGG  $XX0B0L0L0N0NXXXXXX	-/< 0 0+^0KMMMM  0 0 0\PSTUPVPV \ \BD''.BYBY\ \  $C..a/00 D+,,,,GD+,,,,C! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !sT   F
BF*E#7
DE#
E	8EE		E#F#E::FFFc                   4    e Zd ZdefdZd ZdededefdZdS )	_DeviceGuardindexc                 "    || _         d| _        d S N)idxprev_idx)selfrb   s     r   __init__z_DeviceGuard.__init__   s    r   c                 X    t           j                            | j                  | _        d S rK   r   r0   r$   rf   rg   rh   s    r   	__enter__z_DeviceGuard.__enter__       	2248<<r   typevaluer>   c                 X    t           j                            | j                  | _        dS r   r   r0   r'   rg   rf   rh   ro   rp   r>   s       r   __exit__z_DeviceGuard.__exit__        933DMBBur   N)__name__
__module____qualname__intri   rm   r   rt   r   r   r   ra   ra      sg        c    = = =S        r   ra   c                   8    e Zd ZdZd efdZd ZdededefdZdS )	r	   zContext-manager that changes the selected device.

    Args:
        device (torch.device or int or str): device index to select. It's a no-op if
            this argument is a negative integer or ``None``.
    c                 @    t          |d          | _        d| _        d S )NToptionalre   )r   rf   rg   )rh   r	   s     r   ri   zdevice.__init__   s!    $Vd;;;r   c                 X    t           j                            | j                  | _        d S rK   rk   rl   s    r   rm   zdevice.__enter__   rn   r   ro   rp   r>   c                 X    t           j                            | j                  | _        dS r   rr   rs   s       r   rt   zdevice.__exit__   ru   r   N)rv   rw   rx   __doc__r   ri   rm   rt   r   r   r   r	   r	      sq         s    = = =S        r   c                   "     e Zd ZdZ fdZ xZS )	device_ofa  Context-manager that changes the current device to that of given object.

    You can use both tensors and storages as arguments. If a given object is
    not allocated on a XPU, this is a no-op.

    Args:
        obj (Tensor or Storage): object allocated on the selected device.
    c                     |j         r|                                nd}t                                          |           d S rd   )is_xpu
get_devicesuperri   )rh   objrf   	__class__s      r   ri   zdevice_of.__init__   s<    "%*4cnn"r   )rv   rw   rx   r   ri   __classcell__)r   s   @r   r   r      sB                 r   r   c                     t                       t          |           } | dk    r!t          j                            |            dS dS )zSet the current device.

    Args:
        device (torch.device or int or str): selected device. This function is a
            no-op if this argument is negative.
    r   N)rF   r   r   r   _xpu_setDevicer   s    r   
set_devicer      sF     LLLv&&F{{''''' {r   c                 *    t          |           j        S )a  Get the name of a device.

    Args:
        device (torch.device or int or str, optional): device for which to
            return the name. This function is a no-op if this argument is a
            negative integer. It uses the current device, given by :func:`~torch.xpu.current_device`,
            if :attr:`device` is ``None`` (default).

    Returns:
        str: the name of the device
    )r1   namer   s    r   get_device_namer      s     !((--r   c                     t          |           t          t          t          t          t          d          t          t          t          ffdt                    D             S )a  Get the xpu capability of a device.

    Args:
        device (torch.device or int or str, optional): device for which to
            return the device capability. This function is a no-op if this
            argument is a negative integer. It uses the current device, given by
            :func:`~torch.xpu.current_device`, if :attr:`device` is ``None``
            (default).

    Returns:
        Dict[str, Any]: the xpu capability dictionary of the device
    Nc                     i | ]:}|                     d           t          t          |          x          7|;S )__)
startswith
isinstancegetattr)rL   keypropsserializable_typesrp   s     r   
<dictcomp>z)get_device_capability.<locals>.<dictcomp>   sa       ~~d## !4!447IJJ	U  r   )
r1   ry   floatboolrY   ro   listtupledictdir)r	   r   r   rp   s    @@@r   get_device_capabilityr      sl     "&))EudCdT5$O     u::   r   c                 ^    t                       t          | d          } t          |           S )zGet the properties of a device.

    Args:
        device (torch.device or int or str): device for which to return the
            properties of the device.

    Returns:
        _XpuDeviceProperties: the properties of the device
    Tr|   )rF   r   _get_device_propertiesr   s    r   r1   r1      s-     LLLv555F!&)))r   c                  Z    t                       t          j                                        S )z0Return the index of a currently selected device.)rF   r   r   _xpu_getDevicer   r   r   current_devicer     s    LLL8""$$$r   c                     t          | t                    rt          j        |           } n*t          | t                    rt          j        d|           } | S )zReturn the torch.device type object from the passed in device.

    Args:
        device (torch.device or int or str): selected device.
    r0   )r   rY   r   r	   ry   r   s    r   _get_devicer     sO     &# -f%%	FC	 	  -eV,,Mr   c                   \    e Zd ZU dZed         ed<   ded         fdZd Zdeded	efd
Z	dS )StreamContexta  Context-manager that selects a given stream.

    All XPU kernels queued within its context will be enqueued on a selected
    stream.

    Args:
        Stream (Stream): selected stream. This manager is a no-op if it's
            ``None``.
    .. note:: Streams are per-device.
    torch.xpu.Stream
cur_streamstreamc                 ^    || _         t          d d          | _        | j        	d| _        d S d S )NTre   )r   r   rf   )rh   r   s     r   ri   zStreamContext.__init__)  s5    $T4008DHHH r   c                    | j         }|| j        dk    rd S t          j                            d           | _        | j        j        |j        k    rUt          |j                  5  t          j                            |j                  | _        d d d            n# 1 swxY w Y   t          j                            |           d S rd   )	r   rf   r   r0   current_streamsrc_prev_streamr	   dst_prev_stream
set_stream)rh   r   s     r   rm   zStreamContext.__enter__/  s    [
RF$y77== &**;;;
)** S S',y'?'?
@Q'R'R$S S S S S S S S S S S S S S S	Z(((((s   $*BB!Bro   rp   r>   c                     | j         }|| j        dk    rd S | j        j        |j        k    r$t          j                            | j                   t          j                            | j                   d S rd   )r   rf   r   r	   r   r0   r   r   )rh   ro   rp   r>   r   s        r   rt   zStreamContext.__exit__;  sl    [
RF &**;;;I  !5666	T122222r   N)
rv   rw   rx   r   r   __annotations__ri   rm   r   rt   r   r   r   r   r     s         	 	 +,,,,x(:;    
) 
) 
)3S 3 3 3 3 3 3 3 3r   r   r   r   c                      t          |           S )zWrap around the Context-manager StreamContext that selects a given stream.

    Arguments:
        stream (Stream): selected stream. This manager is a no-op if it's ``None``.
    )r   r   s    r   r   r   F  s        r   c                 J    t           j                            | ||           dS )a  set stream specified by the stream id, device index and device type

    Args: stream_id (int): not visible to the user, used to assigned to the specific stream.
          device_index (int): selected device index.
          device_type (int): selected device type.
    	stream_iddevice_indexdevice_typeN)r   r   _xpu_setStreamr   s      r   _set_stream_by_idr   O  s6     
H!      r   c                 l    | dS t                       t          | j        | j        | j                   dS )a  Set the current stream.This is a wrapper API to set the stream.
        Usage of this function is discouraged in favor of the ``stream``
        context manager.

    Args:
        stream (Stream): selected stream. This function is a no-op
            if this argument is ``None``.
    Nr   )rF   r   r   r   r   r   s    r   r   r   ]  sJ     ~LLL"(&     r   c                     t                       t          j                            t	          | d                    }t          |d         |d         |d                   S )aR  Return the currently selected :class:`Stream` for a given device.

    Args:
        device (torch.device or int, optional): selected device. Returns
            the currently selected :class:`Stream` for the current device, given
            by :func:`~torch.xpu.current_device`, if :attr:`device` is ``None``
            (default).
    Tr|   r   r      r   )rF   r   r   _xpu_getCurrentStreamr   r   )r	   
streamdatas     r   r   r   p  sa     LLL//&4000 J Q-jmTU   r   data_ptrc                     t                       t          j                            | t	          |d                    }t          |d         |d         |d                   S )a;  Return a :class:`Stream` from an external SYCL queue.

    This function is used to wrap SYCL queue created in other libraries in order
    to facilitate data exchange and multi-library interactions.

    .. note:: This function doesn't manage the queue life-cycle, it is the user
       responsibility to keep the referenced queue alive while this returned stream is
       being used. The different SYCL queue pointers will result in distinct
       :class:`Stream` objects, even if the SYCL queues they dereference are equivalent.

    Args:
        data_ptr(int): Integer representation of the `sycl::queue*` value passed externally.
        device(torch.device or int, optional): the device where the queue was originally created.
            It is the user responsibility to ensure the device is specified correctly.
    Tr|   r   r   r   r   )rF   r   r   _xpu_getStreamFromExternalr   r   )r   r	   r   s      r   get_stream_from_externalr     sd    $ LLL44#FT::: J Q-jmTU   r   c                 ~    t                       t          | d          } t          j                            |           S )a*  Wait for all kernels in all streams on a XPU device to complete.

    Args:
        device (torch.device or int, optional): device for which to synchronize.
            It uses the current device, given by :func:`~torch.xpu.current_device`,
            if :attr:`device` is ``None`` (default).
    Tr|   )rF   r   r   r   _xpu_synchronizer   s    r   synchronizer     s5     LLLv555F8$$V,,,r   c                      t                      sg S t          j                                        } | g S |                                 S )z<Return list XPU architectures this library was compiled for.)r   r   r   _xpu_getArchFlagssplit)
arch_flagss    r   get_arch_listr     sC    >> 	++--J	r   c                      t                      } t          |           dk    rdS dd                    d | D                        S )zIReturn XPU AOT(ahead-of-time) build flags this library was compiled with.r   rO   z-device ,c              3      K   | ]}|V  d S rK   r   )rL   archs     r   rN   z$get_gencode_flags.<locals>.<genexpr>  s"      ::t::::::r   )r   lenrZ   )	arch_lists    r   get_gencode_flagsr     sJ    I
9~~r<chh::	:::::<<<r   c                 ^    | j         }|t                      }t          j        j        |         S )zuReturn the XPU Generator object for the given device.

    Args:
        device (torch.device): selected device.
    )rb   r   r   r0   r   )r	   rf   s     r   _get_generatorr     s+     ,C
{9',,r   r0   offsetc                 R     t          |           fd}t          |           dS )a$  Set the random number generator state offset of the specified GPU.

    Args:
        offset (int): The desired offset
        device (torch.device or int, optional): The device to set the RNG state.
            Default: ``'xpu'`` (i.e., ``torch.device('xpu')``, the current XPU device).
    c                  P    t                    } |                                d S rK   )r   
set_offset)default_generatorfinal_devicer   s    r   cbz!_set_rng_state_offset.<locals>.cb  s+    *<88$$V,,,,,r   N)r   rD   )r   r	   r   r   s   `  @r   _set_rng_state_offsetr     sB     v&&L- - - - - - rNNNNNr   c                     t                       t          |           }t          |          }|                                S )aL  Return the random number generator state offset of the specified GPU.

    Args:
        device (torch.device or int, optional): The device to return the RNG state offset of.
            Default: ``'xpu'`` (i.e., ``torch.device('xpu')``, the current XPU device).

    .. warning::
        This function eagerly initializes XPU.
    )rF   r   r   
get_offset)r	   r   r   s      r   _get_rng_state_offsetr     s:     LLLv&&L&|44'')))r   )
empty_cachemax_memory_allocatedmax_memory_reservedmem_get_infomemory_allocatedmemory_reservedmemory_statsmemory_stats_as_nested_dictreset_accumulated_memory_statsreset_peak_memory_stats)	get_rng_stateget_rng_state_allinitial_seedmanual_seedmanual_seed_allr:   r9   set_rng_stateset_rng_state_all)+r   r   r   r   r   r   r	   r   r+   r   r   r   r   r1   r   r   r   r   rG   r   r-   r3   r7   r   r   r   r   r   r   r   r   r   r   r   r:   r9   r   r   r   r   r   streamsr   )TrK   )r0   )ar   	threadingr>   	functoolsr   typingr   r   r   r   r   torch._Cr	   _devicetorch._utilsr
   r   _utilsr   r   r   r   r5   localrQ   LockrR   r   r   r   rY   r   r   r   r6   ry   	_device_tr<   r   	Generatorr   r   r   _xpu_exchangeDevicer$   _xpu_maybeExchangeDevicer'   r+   r-   r3   r7   rD   rG   rF   ra   r   r   r   r   r   r1   r   r   r   r   r   r   r   r   r   r   r   r   r   r   memoryr   r   r   r   r   r   r   r   r   r   randomr   r   r   r   r   r:   r9   r   r   __all__r   r   r   <module>r     sU                   1 1 1 1 1 1 1 1 1 1 1 1   # # # # # # 6 6 6 6 6 6 6 6 % % % % % % " " " " " " " " y%y~''   t	(2t8
d3i
'(    '%($6FF'3T)*	%%'' 02 E%(,- 2 2 2d    
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