i7 UdZddlZddlZddlmZddlmZmZmZddl Z ddl m Z m Z ddl mZmZmZddlmZdd lmZee eefZe j0Ze j2Zd Zee j8j:d fed <d aga e!eegdfe!efed<ejDZ#ejHZ%eZ&e'e j8dre j8jPZ)ndedefdZ)e'e j8dre j8jTZ+ndedefdZ+dZ,dZ-de.fdZ/dd"eed#ed$eddfd%Z:de;eeffd&Zd=deedeeeffd+Z?dtjjSr")torch_C_mtia_isInBadForkrrrr'r'As 88 % % ''rc tsttdryt5tr dddyt r t dt s tdtjjdt_ tjdtjD tD] \}} | t)tddadddy#t $r1}dt#|ddj%|}t'||d}~wwxYw#t)tdwxYw#1swYyxYw) Nis_initializingzwCannot re-initialize MTIA in forked subprocess. To use MTIA with multiprocessing, you must use the 'spawn' start methodzTorch not compiled with MTIA enabled. Ensure you have `import mtia.host_runtime.torch_mtia.dynamic_library` in your python src file and include `//mtia/host_runtime/torch_mtia:torch_mtia` as your target dependency!Tc3&K|] }|s| ywr"r).0callss r z_lazy_init..gsXuRWUXsz6MTIA call failed lazily at initialization with error: z( MTIA call was originally invoked at: )r(hasattr_tls_initialization_lockr'r _is_compiledAssertionErrorr*r+ _mtia_initr.rextend_lazy_seed_tracker get_calls ExceptionstrjoinDeferredMtiaCallErrordelattrr&) queued_callorig_tracebackemsgs rr#r#EsL74):; ,   ,,  I ~ *   $X0B0L0L0NXX -/< <+ ^<M < D+ , Y,,H!<PQTUVQWPXYCCE77>CZB[]04!; < D+ ,W,,sM D=BD=9 D(C+ D(D=+ D%4,D  D%%D((D::D==Ec eZdZy)r@N)__name__ __module__ __qualname__rrrr@r@xsrr@c>tjjS)z*Return true if compiled with MTIA support.)r*r+ _mtia_isBuiltrrrr7r7|s 88 ! ! ##rc2tsytdkDS)z'Return true if MTIA device is availableFr)r7 device_countrrr is_availablerNs > >A rctjj|5tjj cdddS#1swYyxYw)z?Waits for all jobs in all streams on a MTIA device to complete.N)r*mtiarr+_mtia_deviceSynchronizers r synchronizerRs9   6 "2xx//1222s AAc>tjjS)z,Return the number of MTIA devices available.)r*r+_mtia_getDeviceCountrrrrMrM 88 ( ( **rc>tjjS)z0Return the index of a currently selected device.)r*r+%_accelerator_hooks_get_current_devicerrrcurrent_devicerXs 88 9 9 ;;rcVtjjt|dS)aSReturn 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.mtia.current_device`, if :attr:`device` is ``None`` (default). Toptional)r*r+_mtia_getCurrentStreamrrs rcurrent_streamr]! 88 * *+tjjS)z4Return a dictionary of MTIA memory allocator history)r*r+_mtia_memorySnapshotrrrsnapshotrjrUrobservercBtjj|y)z9Attach an out-of-memory observer to MTIA memory allocatorN)r*r+_mtia_attachOutOfMemoryObserver)rks rattach_out_of_memory_observerrns HH,,X6rincluding_emulationcy)zLReturn a bool indicating if the current MTIA device supports dtype bfloat16.Tr)ros ris_bf16_supportedrqs rcVtjjt|dS)aReturn capability of a given device as a tuple of (major version, minor version). Args: device (torch.device or int, optional) selected device. Returns statistics for the current device, given by current_device(), if device is None (default). TrZ)r*r+_mtia_getDeviceCapabilityrrs rget_device_capabilityrt" 88 - -.?QU.V WWrc>tjjS)zEmpty the MTIA device cache.)r*r+_mtia_emptyCacherrr empty_cacherxs 88 $ $ &&rstreamcH|ytjj|y)aSet 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``. N)r*r+_mtia_setCurrentStreamrys r set_streamr}s~ HH##F+rcdt|}|dk\r tjj|yy)zSet the current device. Args: device (torch.device or int): selected device. This function is a no-op if this argument is negative. rN)rr*r+%_accelerator_hooks_set_current_devicers r set_devicers,v &F { 66v>rcVtjjt|dS)zReturn a dictionary of MTIA device properties Args: device (torch.device or int, optional) selected device. Returns statistics for the current device, given by current_device(), if device is None (default). TrZ)r*r+_mtia_getDevicePropertiesrrs rget_device_propertiesrrurc6eZdZdZdefdZdZdededefdZy) rzContext-manager that changes the selected device. Args: device (torch.device or int): device index to select. It's a no-op if this argument is a negative integer or ``None``. c6t|d|_d|_y)NTrZr)ridxprev_idx)selfrs r__init__zdevice.__init__s$Vd; rc`tjj|j|_yr")r*r+(_accelerator_hooks_maybe_exchange_devicerr)rs r __enter__zdevice.__enter__sII$((S rtypevalue tracebackc`tjj|j|_y)NF)r*r+rrr)rrrrs r__exit__zdevice.__exit__s88DDT]]SrN)rGrHrI__doc__rrrrrrrrr s3sTSrcNeZdZUdZeded<dedfdZdZdeded efd Z y ) StreamContextaContext-manager that selects a given stream. All MTIA 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.mtia.Stream cur_streamrycd|_||_tdd|_tj j s|jd|_tj j sdntjjd|_ tj j sd|_ ytjjd|_ y)NTr) rryrrr*jit is_scriptingrPrasrc_prev_streamdst_prev_stream)rrys rrzStreamContext.__init__.s $T40yy%%'xx ..0Dejj6O6OPT6U  ..0D 6;jj6O6OPT6U rc|j}||jdk(rytjj d|_|j j |j k7rLt |j 5tjj |j |_dddtjj|y#1swY)xYwNr) ryrr*rPr]rrrr})rrs rrzStreamContext.__enter__=s[[  R $zz88>    & &**;*; ; ))* T',zz'@'@ARAR'S$ T j) T Ts ;/CCrrrc*|j}||jdk(ry|jj|jk7r)tj j |jtj j |jyr)ryrrrr*rPr}r)rrrrrs rrzStreamContext.__exit__Lsj[[  R     & &**;*; ; JJ ! !$"6"6 7 d223rN) rGrHrIrr__annotations__rrrrrrrrr sF ,--  x(;<   * 4S 4 4 4rrcFtjj|||y)zset stream specified by the stream id, device index and device type Args: stream_id (int): stream id in stream pool device_index (int): device index in topo device_type (int): enum device type N)r*r+_mtia_setStream) stream_id device_index device_types r_set_stream_by_idrZs HHY kBrrct|S)a,Wrap around the Context-manager StreamContext that selects a given stream. Arguments: stream (Stream): selected stream. This manager is a no-op if it's ``None``. .. note:: In eager mode stream is of type Stream class while in JIT it doesn't support torch.mtia.stream )rr|s rryryes   rctjdtdtjdgtj |S)zReturns the random number generator state as a ByteTensor. Args: device (torch.device or int, optional): The device to return the RNG state of. Default: ``'mtia'`` (i.e., ``torch.device('mtia')``, the current mtia device). z.get_rng_state is not implemented in torch.mtia stacklevelr )dtyper)warningswarn UserWarningr*zerosuint8rs r get_rng_staterps4 MM8 ;;s%++f ==r new_statec<tjdtdy)aSets the random number generator state. Args: new_state (torch.ByteTensor): The desired state device (torch.device or int, optional): The device to set the RNG state. Default: ``'mtia'`` (i.e., ``torch.device('mtia')``, the current mtia device). z.set_rng_state is not implemented in torch.mtiarrN)rrr)rrs r set_rng_staters MM8r)*)r$rNr(rRrMrXr]ra memory_statsmax_memory_allocatedmemory_allocatedreset_peak_memory_statsrtrrgrjrnrxrr}ryrrrrq MTIAGraphgraphgraph_pool_handle)rNr")allpythonr)T)rP)Lr threadingrcollections.abcrtypingrrrr*r_devicer torch._utilsr r r torch.typesr _utilsrr>int _device_tEventStreamrtupler+ Generatorrr&rlistlocalr5Lockr6r;r4rrrr r$r(boolr'r#r=r@r7rNrRrMrXr]rargdictrjrnrqrtrxr}rrrrryrrmemory mtia_graph__all__rrrrse$'' +EE% '3# $    57E%((,,c127 t (2t8 d3i '(y%y~~'%' 588+,xx44HHH  58801"XX??HsHsH 2 ((0f I $d$ d2+2t2 +c+ << U8I. U& U U8I. U& UPQE c]E,/EILE E&+$sCx.+ 7S#s+T127 74 X(9"5XsCxX' ,v , ?y ?T ?X(9"5Xc3hX(7474tC!8/0!]! >%S%,, 67 >V > @F$S#u||%;< " r