
    biKA                        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 d dl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mZ  edd	
      ZdZer	 d dlmc mZ d dlZd	ZeZej<                  j?                         Z dJdZ!de"fdZ#d Z$d Z%d Z&d Z'd Z(d Z)d Z*d Z+d Z,d Z-d Z.edKd       Z/d Z0d Z1d Z2dLdZ3d Z4d  Z5d! Z6d" Z7dJd#Z8d$ Z9d% Z:d& Z;d' Z<d( Z=d) Z>d* Z?d+ Z@d, ZAd- ZBd. ZCd/ ZDd0 ZEd1 ZFd2 ZGd3 ZHd4 ZId5 ZJd6 ZKd7 ZLd8 ZMd9 ZNdMd:ZOd; ZPedLd<       ZQedLd=       ZRedLd>       ZSedLd?       ZTedLd@       ZUdA ZVedLdB       ZWdC ZXdD ZYdE ZZdF Z[dG Z\dH Z]dNdIZ^y# e$ r Y w xY w)O    N)	lru_cachewraps)version)parse   )parse_flag_from_envpatch_environmentstr_to_bool)compare_versionsis_torch_versionUSE_TORCH_XLAT)defaultFc                     t         j                  j                  |       d u}|r*	 t         j                  j                  ||       }y|      }yy # t         j                  j                  $ r Y yw xY w)NTF)	importlibutil	find_specmetadataPackageNotFoundError)pkg_namemetadata_namepackage_exists_s       S/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/accelerate/utils/imports.py_is_package_availabler   2   su    ^^--h7tCN	""++8MHaA TaaA	 
 !!66 		s   !A A A/.A/returnc                      t         S N)_torch_distributed_available     r   is_torch_distributed_availabler!   >   s    ''r    c                      t        dd      r(t        j                  j                  j	                         S t               ryy)N>=z2.7.0F)r   torchdistributeddistributed_c10dis_xccl_availableis_ipex_availabler   r    r   r'   r'   B   s3    g&  11CCEEr    c                  |    	 	 t        j                  j	                  d      d uS # t         $ r t        d       Y 7w xY w)NzIntel(R) oneCCL Bindings for PyTorch* is required to run DDP on Intel(R) XPUs, but it is not detected. If you see "ValueError: Invalid backend: 'ccl'" error, please install Intel(R) oneCCL Bindings for PyTorch*.oneccl_bindings_for_pytorch)ImportErrorprintr   r   r   r   r    r   is_ccl_availabler-   J   sE    
 >>##$AB$NN  
&	

s   ;;c                  @    t         j                  j                  d      S )Noneccl_bind_pt)r   r   r   r   r    r   get_ccl_versionr0   V   s    %%&677r    c                      t        d      S )Nimport_timerr   r   r    r   is_import_timer_availabler4   Z        00r    c                  4    t        d      xs t        dd      S )Npynvmlznvidia-ml-pyr3   r   r    r   is_pynvml_availabler8   ^   s     *].CHn.]]r    c                      t        d      S )Npytestr3   r   r    r   is_pytest_availabler;   b        **r    c                      t        dd      S )Nmsampzms-ampr3   r   r    r   is_msamp_availabler?   f   s     (33r    c                      t        d      S )Nschedulefreer3   r   r    r   is_schedulefree_availablerB   j   r5   r    c                  F    t               rt        dd      S t        dd      S )Nintel_transformer_enginezintel-transformer-enginetransformer_engineztransformer-engine)is_hpu_availabler   r   r    r   is_transformer_engine_availablerG   n   s&    $%?A[\\$%9;OPPr    c                      t        d      S )N
lomo_optimr3   r   r    r   is_lomo_availablerJ   u        ..r    c                      t        d      5  t        j                  j                         } ddd       | S # 1 sw Y    S xY w)z
    Checks if `cuda` is available via an `nvml-based` check which won't trigger the drivers and leave cuda
    uninitialized.
    1)PYTORCH_NVML_BASED_CUDA_CHECKN)r	   r$   cudais_available)	availables    r   is_cuda_availablerR   y   s>    
 
	= .JJ++-	. . s	   6A c                     | r	|rJ d       t         sy|r t        j                  j                         dv S | r!t        j                  j                         dk(  S y)z
    Check if `torch_xla` is available. To train a native pytorch job in an environment with torch xla installed, set
    the USE_TORCH_XLA to false.
    z6The check_is_tpu and check_is_gpu cannot both be true.F)GPUCUDATPUT)_torch_xla_available	torch_xlaruntimedevice_type)check_is_tpucheck_is_gpus     r   is_torch_xla_availabler]      sX     h0hh.	  ,,./AA	  ,,.%77r    c                      t        d      } | r?t        j                  t        j                  j                  d            }t        |dd      S y)Ntorchaor#   z0.6.1Fr   r   r   r   r   r   )r   torchao_versions     r   is_torchao_availablerb      s@    *95N!--	(:(:(B(B9(MNw??r    c                      t        d      S )N	deepspeedr3   r   r    r   is_deepspeed_availablere           --r    c                      t        dd      S Nr#   z2.4.0r   r   r    r   is_pippy_availablerj      s    D'**r    c                 (   t        d      r|  S t               rt        j                  j	                         S t               rt        j                  j	                         S t               rt        j                  j	                         S t               ryy)z8Checks if bf16 is supported, optionally ignoring the TPUT)r[   F)
r]   rR   r$   rO   is_bf16_supportedis_mlu_availablemluis_xpu_availablexpuis_mps_available)
ignore_tpus    r   is_bf16_availablers      si    40~zz++--yy**,,yy**,,r    c                      t               ryy)zChecks if fp16 is supportedFT)is_habana_gaudi1r   r    r   is_fp16_availablerv      s    r    c                  F    t               xs t               xs
 t               S )zChecks if fp8 is supported)r?   rG   rb   r   r    r   is_fp8_availablerx      s    ^#B#D^H\H^^r    c                      t        d      } | r?t        j                  t        j                  j                  d            }t        |dd      S y)Nbitsandbytesr#   z0.39.0Fr`   r   bnb_versions     r   is_4bit_bnb_availabler}      @    *>:NmmI$6$6$>$>~$NOT8<<r    c                      t        d      } | r?t        j                  t        j                  j                  d            }t        |dd      S y)Nrz   r#   z0.37.2Fr`   r{   s     r   is_8bit_bnb_availabler      r~   r    c                     t        d      }|rA| ?t        j                  t        j                  j                  d            }t        |d|       S |S )Nrz   r#   r`   )min_versionr   r|   s      r   is_bnb_availabler      sH    *>:N+1mmI$6$6$>$>~$NOT;??r    c                  N    t               sydd l} dt        | dt                     v S )NFr   multi_backendfeatures)r   rz   getattrset)bnbs    r   'is_bitsandbytes_multi_backend_availabler      s$    gc:su===r    c                      t        d      S )Ntorchvisionr3   r   r    r   is_torchvision_availabler      s     //r    c                     t        t        j                  j                  dd            dk(  rwt        j
                  j                  d      W	 t        t        j                  j                  d            } t        | dd      r t        j
                  j                  dd      S y y y # t        $ r"}t        j                  d	|        Y d }~y
d }~ww xY w)NACCELERATE_USE_MEGATRON_LMFalser   megatronzmegatron-corer#   0.8.0z	.trainingz)Parse Megatron version failed. Exception:F)r
   osenvirongetr   r   r   r   r   r   r   	Exceptionwarningswarn)megatron_versiones     r   is_megatron_lm_availabler      s    2::>>">HIQN>>##J/;#(););)C)CO)T#U #$4dGD$>>33KLL E < O   I!MNs   AB% %	C.CCc                      t        d      S )Ntransformersr3   r   r    r   is_transformers_availabler      r5   r    c                      t        d      S )Ndatasetsr3   r   r    r   is_datasets_availabler           ,,r    c                      t        d      S )Npeftr3   r   r    r   is_peft_availabler           ((r    c                      t        d      S )Ntimmr3   r   r    r   is_timm_availabler      r   r    c                  D    t               rt        dd      S t        d      S )Ntritonzpytorch-triton-xpu)ro   r   r   r    r   is_triton_availabler     s!    $X/CDD **r    c                      t        d      } | r?t        j                  t        j                  j                  d            }t        |dd      S y)Naim<z4.0.0Fr`   )r   aim_versions     r   is_aim_availabler   	  s@    *51NmmI$6$6$>$>u$EFS'::r    c                  2    t        d      xs t        d      S )NtensorboardtensorboardXr3   r   r    r   is_tensorboard_availabler     s     /X3H3XXr    c                      t        d      S )Nwandbr3   r   r    r   is_wandb_availabler          ))r    c                      t        d      S )Ncomet_mlr3   r   r    r   is_comet_ml_availabler     r   r    c                      t        d      S )Nswanlabr3   r   r    r   is_swanlab_availabler          ++r    c                  B    t         j                  dk\  xr t        d      S )N)   
   trackio)sysversion_infor   r   r    r   is_trackio_availabler   !  s    w&K+@+KKr    c                      t        d      S )Nboto3r3   r   r    r   is_boto3_availabler   %  r   r    c                  2    t        d      rt        dd      S y)NrichACCELERATE_ENABLE_RICHF)r   r   r   r    r   is_rich_availabler   )  s    V$"#;UCCr    c                      t        d      S )N	sagemakerr3   r   r    r   is_sagemaker_availabler   /  rf   r    c                      t        d      S )Ntqdmr3   r   r    r   is_tqdm_availabler   3  r   r    c                      t        d      S )Nclearmlr3   r   r    r   is_clearml_availabler   7  r   r    c                      t        d      S )Npandasr3   r   r    r   is_pandas_availabler   ;  r<   r    c                      t        d      S )N
matplotlibr3   r   r    r   is_matplotlib_availabler   ?  rK   r    c                      t        d      ryt        j                  j                  d      !	 t        j                  j	                  d      } yy# t        j                  j
                  $ r Y yw xY w)NmlflowTzmlflow-skinnyF)r   r   r   r   r   r   )r   s    r   is_mlflow_availabler   C  se    X&~~)5	""++O<A  !!66 		s   A A.-A.c                     t        d|       xrR t        j                  j                  j	                         xr( t        j                  j                  j                         S )zHChecks if MPS device is available. The minimum version required is 1.12.r#   )r   r$   backendsmpsrP   is_built)r   s    r   rq   rq   P  sD     D+.v5>>3E3E3R3R3TvY^YgYgYkYkYtYtYvvr    c            	      |   d } t         j                  j                  d      }t         j                  j	                  d      yd}	 t         j                  j                  d      } | |      } | |      }||k7  r t        j                  d| d| d| d	       yy
# t         j                  j
                  $ r Y yw xY w)zChecks if ipex is installed.c                     t        t        j                  |       j                        dz   t        t        j                  |       j                        z   S )N.)strr   r   majorminor)full_versions    r    get_major_and_minor_from_versionz;is_ipex_available.<locals>.get_major_and_minor_from_versionZ  s;    7==.445;c'--P\B]BcBc>dddr    r$   intel_extension_for_pytorchFzN/AzIntel Extension for PyTorch z needs to work with PyTorch z.*, but PyTorch z? is found. Please switch to the matching version and run again.T)r   r   r   r   r   r   r   r   )r   _torch_version_ipex_versiontorch_major_and_minoripex_major_and_minors        r   r(   r(   W  s    e ''//8N~~ =>FM!**223PQ =^L;MJ 44*+?*@@\]q\r s*++jl	
  22 s   B B;:B;c                     t         j                  j                  d      yddl}t	        d      5  t
        j                  j                         }ddd       |S # 1 sw Y   S xY w)z
    Checks if `mlu` is available via an `cndev-based` check which won't trigger the drivers and leave mlu
    uninitialized.
    	torch_mluNFr   rM   )PYTORCH_CNDEV_BASED_MLU_CHECK)r   r   r   r   r	   r$   rn   rP   )check_devicer   rQ   s      r   rm   rm   p  sY     ~~,4		= -II**,	- - s   AA$c                 F   t         j                  j                  d      yddl}| r=	 t        j
                  j                         }t        j
                  j                         S t        t        d      xr t        j
                  j                         S # t        $ r Y yw xY w)zSChecks if `torch_musa` is installed and potentially if a MUSA is in the environment
torch_musaNFr   musa)
r   r   r   r   r$   r   device_countrP   RuntimeErrorhasattr)r   r   r   s      r   is_musa_availabler          ~~-5	

'')A::**,, 5&!?ejj&=&=&??  		   ;B 	B B c                 F   t         j                  j                  d      yddl}| r=	 t        j
                  j                         }t        j
                  j                         S t        t        d      xr t        j
                  j                         S # t        $ r Y yw xY w)zQChecks if `torch_npu` is installed and potentially if a NPU is in the environment	torch_npuNFr   npu)
r   r   r   r   r$   r  r   rP   r   r   )r   r   r   s      r   is_npu_availabler    s     ~~,4			&&(A99))++ 5% =UYY%;%;%==  		r   c                 F   t         j                  j                  d      yddl}| r=	 t        j
                  j                         }t        j
                  j                         S t        t        d      xr t        j
                  j                         S # t        $ r Y yw xY w)zSChecks if `torch_sdaa` is installed and potentially if a SDAA is in the environment
torch_sdaaNFr   sdaa)
r   r   r   r  r$   r  r   rP   r   r   )r   r  r   s      r   is_sdaa_availabler    r   r   c                    t         j                  j                  d      t         j                  j                  d      yddl}| rddlmc mc m} t        t
        d      xr t
        j                  j                         S )zQChecks if `torch.hpu` is installed and potentially if a HPU is in the environmenthabana_frameworksNzhabana_frameworks.torchFr   hpu)r   r   r   habana_frameworks.torch(habana_frameworks.torch.distributed.hcclr$   r%   hcclr   r	  rP   )	init_hcclr  r  s      r   rF   rF     s^     	  !45=>>##$=>F"??5% =UYY%;%;%==r    c                      t               r4dd lmc mc m}  | j                         | j                  j                  k(  ryy)Nr   TF)rF   *habana_frameworks.torch.utils.experimentalr$   utilsexperimental_get_device_typesynDeviceTypesynDeviceGaudi)htexps    r   ru   ru     s1    BB!!#u':':'I'IIr    c                 6   t               rddl}nt        dd      ry| r=	 t        j                  j                         }t        j                  j                         S t        t        d      xr t        j                  j                         S # t        $ r Y yw xY w)z
    Checks if XPU acceleration is available either via `intel_extension_for_pytorch` or via stock PyTorch (>=2.4) and
    potentially if a XPU is in the environment
    r   Nz<=z2.3Frp   )	r(   r   r   r$   rp   r   rP   r   r   )r   r   r   s      r   ro   ro     s|     *D%(			&&(A99))++ 5% =UYY%;%;%==  		s   ;B 	BBc                      t        d      S )Ndvcliver3   r   r    r   is_dvclive_availabler    r   r    c                      t        d      S )N	torchdatar3   r   r    r   is_torchdata_availabler    rf   r    c                      t        d      } | r?t        j                  t        j                  j                  d            }t        |dd      S y)Nr  r#   r   Fr`   )r   torchdata_versions     r   *is_torchdata_stateful_dataloader_availabler    sB    *;7N#MM)*<*<*D*D[*QR 14AAr    c                 .     t                fd       }|S )zc
    A decorator that ensures the decorated function is only called when torchao is available.
    c                  >    t               st        d       | i |S )Nze`torchao` is not available, please install it before calling this function via `pip install torchao`.)rb   r+   )argskwargsfuncs     r   wrapperz!torchao_required.<locals>.wrapper  s+    #%w  T$V$$r    r   r$  r%  s   ` r   torchao_requiredr(    s"    
 4[% % Nr    c                 .     t                fd       }|S )zc
    A decorator that ensures the decorated function is only called when deepspeed is enabled.
    c                      ddl m} ddlm} |j                  i k7  r) |       j
                  |j                  k7  rt        d       | i |S )Nr   )AcceleratorState)DistributedTypez|DeepSpeed is not enabled, please make sure that an `Accelerator` is configured for `deepspeed` before calling this function.)accelerate.stater+  accelerate.utils.dataclassesr,  _shared_statedistributed_type	DEEPSPEED
ValueError)r"  r#  r+  r,  r$  s       r   r%  z#deepspeed_required.<locals>.wrapper  sS    5@))R/4D4F4W4W[j[t[t4t0  T$V$$r    r&  r'  s   ` r   deepspeed_requiredr3    s"    
 4[	% 	% Nr    c                      t        dd      S rh   ri   r   r    r   is_weights_only_availabler5    s     D'**r    c                 l    t        t        j                  j                  d            }t	        |d|       S )Nnumpyr#   )r   r   r   r   r   )r   numpy_versions     r   is_numpy_availabler9  %  s,    ),,44W=>MM4==r    r   )FF)F)z1.12)z1.25.0)_r   importlib.metadatar   r   r   	functoolsr   r   r$   	packagingr   packaging.versionr   environmentr   r	   r
   versionsr   r   r   rW   torch_xla.core.xla_modelcore	xla_modelxmtorch_xla.runtimerX   r+   _tpu_availabler%   rP   r   r   boolr!   r'   r-   r0   r4   r8   r;   r?   rB   rG   rJ   rR   r]   rb   re   rj   rs   rv   rx   r}   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   rq   r(   rm   r   r  r  rF   ru   ro   r  r  r  r(  r3  r5  r9  r   r    r   <module>rG     s5     	 
  &   # L L 8 $OTB -- #
 &  %00==? 	( (	O81^+41Q/  ".+_
>0	1-))+Y*-,L*.),+/
w2    @ @" > >" @ @" > >  > >,,.
"(+>{  s   E# #E,+E,