3j SSKrSSKrSSKrSSKrSSKrSSKrSSKrSSKJrJ r SSK J r SSKJ r SSK Jr SSKJrJr SSKJr SSKJrJrJr SS KJr SSKrSSKJr SSKJr SSKJs J r! SS K"J#r# SS K$J%r% SS K&J'r'J(r(J)r* SS K+J,r, SSK-J.r.J/r/ SSK0J1r1 SSK2J3r3J4r4J5r5 SSK6J7r7 SSK8J9r9J:r:J;r; SSKr>J?r? SSK@JArAJBrBJCrCJDrD SSKJErEJFrF SSKGJHrI SSKJJKrKJLrLJMrMJNrNJOrO SSKPJQrQJRrRJSrSJTrTJUrUJVrVJWrW SSKXJYrY \V(a)\Z"S\["S\RR555r^OSr^\T(aSr_Sr`\RR5r^O8\U(aSr_Sr`O,\W(aS r_S!r`\RR5r^OS"r_S#r`S$r^"S%S&\5rb"S'S(\5rc"S)S*\R\5reS+\RS,\RS-\ 4S.jrgS/rhSS+\RS0\i4S1jjrjSS2jrkS3rlS4rmSS+\RS5\i4S6jjrnS+\RS7\i4S8jroS+\RS9\i4S:jrp"S;S<5rq"S=S>\e5rr"S?S@\e5rs"SASB\s5rt"SCSD\s5ru"SESF\e5rv"SGSH\v5rw"SISJ\R5rx"SKSL\s5ry"SMSN\R5rz"SOSP\R5r|"SQSR\R5r}\RSS\ 4STj5r\RSU\ 4SVj5r\RSW\ 4SXj5r\RSY\ 4SZj5r\RS[\ 4S\j5r\\RS]\ 4S^j55r\\RS_\ 4S`j55r\\RSa\ 4Sbj55r\\RSc\ 4Sdj55rSe\ S-\ Sf\Sg\4ShjrSSi\RSj\RSk\\Sl44Smjjr\GR"\WSn5"SoSp\M55r"SqSr5r"SsSt\\L5r"SuSv\\K5rSSw\S-4Sxjjr"SySz\R5r"S{S|\R5r"S}S~\R5rg)N)ABCabstractmethod)Callable) nullcontext)deepcopy)autoEnumwraps)Anycast no_type_check)mock) checkpoint) DeviceMesh) CPUOffload fully_shardFullyShardedDataParallel) TrainingState)FSDPParamGroupRegisterPostBackwardFunction)#NO_RESHARD_AFTER_FORWARD_STRATEGIES)BackwardPrefetchMixedPrecisionShardingStrategy)ShardedGradScaler)always_wrap_policyModuleWrapPolicywrap)distribute_tensorDTensorShard)ColwiseParallelparallelize_moduleRowwiseParallelSequenceParallel)TransformerDecoderLayerTransformerEncoderLayer)DistributedDataParallel)MultiProcContinuousTestMultiProcessTestCaseMultiThreadedTestCase run_subtests TEST_SKIPS) FILE_SCHEMAget_cycles_per_ms set_rng_seed TEST_CUDATEST_HPUTEST_WITH_ROCMTEST_XPU) has_tritoncudancclzhpu:0hcclxpuxcclcpuglooc0\rSrSr\"5r\"5rSrg) FSDPInitMode^N)__name__ __module__ __qualname____firstlineno__rNO_FSDP RECURSIVE__static_attributes__rD]/home/wildlama/miniconda3/lib/python3.13/site-packages/torch/testing/_internal/common_fsdp.pyrBrB^sfGIrLrBc>\rSrSr\"5r\"5r\"5rSrg)DEVICEInitModegrDN) rErFrGrHr DEVICE_BEFORE DEVICE_AFTER DEVICE_NEVERrKrDrLrMrOrOgsFM6L6LrLrOc\rSrSrSr\S\\RS44Sj5r \S\R4Sj5r \S Sj5r \ \S \ S \ S\R4S j55rS rg) FSDPTestModelpzVThis defines the interface expected from all models used commonly for FSDP unit tests.return.cg)z+Returns an input for the model as as tuple.NrDselfdevices rM get_inputFSDPTestModel.get_inputt rLcg)z,Returns the loss given the input and output.NrD)rZinputoutputs rMget_lossFSDPTestModel.get_lossyr^rLNcg)z named_buffersdistget_world_sizerangeall_gather_objectAssertionErrorzip)rvrwrx param_nameparamnamed_module_states buffer_namebuffer world_size_olist rank0_statesstatep1p2s rM_assert_module_statesrs3"'!7!7!9!9 J \\^'')*!9#(#6#6#8#8 K mmo))+,#8$$]3J , -,aT,E -5]K8LCDDqr = !@A A #L E GQWa b !F .s+D+D!* D'c6[R"[5$N)rqr[ DEVICE_TYPErDrLrM get_devtypers << $$rL zero_bufferscU(a[R"U5O [5nU UR5H1n[R "5 UR 5 SSS5 M3 U(aEUR5H1n[R "5 UR 5 SSS5 M3 SSS5 g!,(df  M=f!,(df  M_=f!,(df  g=f)zBZeros the parameters and optionally buffers of ``model`` in place.N)FSDPsummon_full_paramsr parametersrqno_gradzero_buffers)rvr summon_fullctxrrs rM _zero_modelrs -8$ ! !% ([]C %%'E !( --/]]_LLN%_*  %_ s;)C)C$;C)C0 C) C C) C& !C)) C7cU(dUR[5nU(aUR5 UR5$r)torhalf state_dict)rv cpu_offloadrs rM_get_state_dictrs. %     rLc pSRUVs/sHo"bU[U5OSPM sn5$s snf)Nrnone)joinstr)test_name_mappingriss rM subtest_namers9 88IMNAm 3q6 " ?N Ns3cUR5H=up#UR[R"S5:wdM+UR5X'M? 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Args: recurse (bool): If ``False``, only unshards the parameters immediate to ``model``; if ``True``, recurses through the module hierarchy rooted at ``model``. )rN)rrrlistr)rvrs rMget_full_paramsrs4   8U--/01 9 8 8s "A Amove_to_devicec>U(aUR[5$U$r)rr)rvrs rM_move_to_devicers$2588K ==rL wrap_fsdpc2U(dU$[U/UQ70UD6$rr)rvrrirjs rM_maybe_wrap_fsdprs!5CtE'CD'CF'CCrLcH\rSrSrS\S\4SjrS\4SjrS\4SjrSrS r g ) DummyProcessGrouprsizecXlX lgr_rank_size)rZrrs rM__init__DummyProcessGroup.__init__s   rLrWcUR$r)rrZs rMrDummyProcessGroup.rank zzrLcUR$r)rrs rMrDummyProcessGroup.sizerrLcB[R"5nSnXClU$)Ncd[RR5nURS5 U$)Nr@)rqfuturesFuture set_result)futures rM get_future/DummyProcessGroup.allreduce..get_futures'+0==+?+?+AF   a MrL)rMockr)rZrirj dist_waitrs rM allreduceDummyProcessGroup.allreduces IIK   *rLrN) rErFrGrHintrrrrrKrDrLrMrrs2Scc rLrc^\rSrSrS\R S\S\S\4U4SjjrSr Sr S r S r \ SS\R S \S\S \\\4S -S\S\S\R&\-4Sjj5rSrSrU=r$)TransformerWithSharedParamsi r{device_init_modeadd_bn deterministicc>[TU]5 UR5UlUR5UlU(a[ R "S5 SnSn[R"XV5Ul [R"USSSSS9Ul [R"Xe5Ul URRURlURSURRR!U455 URS [ R""UR$[ R&S 95 SUlU(a)[ RR+UR(5O[ RR-5UlU[0R2:XaUR5[65nU(aUR95 gg) Nrr8g?)d_modelnum_encoder_layersnum_decoder_layersdim_feedforwarddropout vocab_bias long_buffer)dtype)superrrrrrq manual_seedrt Embedding embed_tokens Transformer transformerLinear output_projweightregister_buffernew_ones zeros_likerlongbs BatchNorm1dIdentitybnrOrQrreval)rZr{rrrd_vocabr __class__s rMr$TransformerWithSharedParams.__init__s] JJL **,    a LL:>>    99W6#'"3"3":":  $++22;;WJG      T__EJJ ? 39%((&&tww/uxx?P?P?R ~;; ;77;'D  IIK rLc$[R"SUR-5 [R"SUS9R SUR 5n[R"UR S-US9R SUR 5nX#4$)Nr@ r[r7)rqrrarangeviewr)rZr[srctgts rMr\%TransformerWithSharedParams.get_input8sj !dii-(ll2f-221dgg>ll477Q;v6;;AtwwGzrLcURU5nX0R-URRU5-nURU5nUR U5nUR X45nUR U5$r)rrrtype_asrrr)rZsrc_idstgt_idsr r xs rMforward#TransformerWithSharedParams.forward>sr(OO#d&6&6&>&>s&CC(ggcl   S &""rLcUup4[RRURSUR S55URS5SS9$)Nsum) reduction)rt functional cross_entropyr r)rZr`rarr s rMrb$TransformerWithSharedParams.get_lossFsG}}** KKFKKO ,chhrle+  rLc$UR5 grbackwardres rMrg(TransformerWithSharedParams.run_backwardL  rLNfsdp_init_mode fsdp_kwargsrWcxUc0nU[R:Xa)[U[5(aUSnOUn[ XbXT5$U[R :XaSU;a[ [[15nOURS5nSU;a?US[R[R1;a[U[5(dSnOUn[U[5(aUSn OUn [ XXT5n [U U4SU0UD6n U[R:XaU R!["5n U $[%SU35e)a Initializes a :class:`TransformerWithSharedParams` instance. Args: fsdp_init_mode (FSDPInitMode): If ``NO_FSDP``, then does not wrap any modules with FSDP. If ``RECURSIVE``, then wraps with top-level FSDP. By default, the top-level FSDP uses the ``ModuleWrapPolicy`` for encoder and decoder layers, but a different auto wrap policy may be specified via ``fsdp_kwargs``. device_init_mode (DEVICEInitMode): Determines model movement to DEVICE. fsdp_kwargs (Optional[Dict[str, Any]]): Optional keyword arguments forwarded to the FSDP constructor. deterministic (bool): Whether to make the model deterministic across constructions. add_bn (bool): Whether to include batch norm in the model. Nrauto_wrap_policysharding_strategyUnsupported FSDP init mode: )rBrI isinstancerprrJrr(r'popr HYBRID_SHARD_HYBRID_SHARD_ZERO2rrOrRrr ValueError) r{r rr!rrpgr#fsdp_pg tformer_pgm fsdp_models rMrl TransformerWithSharedParams.initOsW6  K \11 1%''1X.f |55 5!4#3//$ $/??3E#F ${2 34$113C3W3WXY"5%00%''"1X " +fA"2 J  >#>#>>']];7  77GHIIrLcUR/$r)rrs rMget_ignored_modules/TransformerWithSharedParams.get_ignored_moduless  !!rL)rrrrrrr)NFT)rErFrGrHr ProcessGrouprOboolrr\rrbrgrsrBrrr rtrurrlr2rK __classcell__rs@rMrr s(  ()( (  (T #  .2# KJ  KJ$KJ)KJ#s(^d* KJ  KJ  KJ T KJKJZ""rLrc^\rSrSrS\R S\S\S\4U4SjjrSr Sr S r S r \ SS\R S \S\S \\\4S -S\S\R&4 Sjj5rSrU=r$)NestedWrappedModuleir{rrrc >^^^[TU]5 TR5UlTR5UlU[ R :HnUUU4SjnU(a[R"S5 [R"[[R"SS5U5U"[R"U"[[R"SS5U55[[R"SS5U555U"[[R"SS5U55[[R"SS5U55Ul g)Nc0>T(a [UT40TD6$U$rrlayerr!r{rs rM _maybe_wrap1NestedWrappedModule.__init__.._maybe_wrapE58K88LrLrrr7r)rrrrrrOrQrqrrt Sequentialrrmodule rZr{rrrr!rr>rs `` ` rMrNestedWrappedModule.__init__s JJL **,)^-I-II     a mm BIIaO^ <   !R0@. QR#BIIb"$5~F   "a(8.I J BIIaO^ <   rLcv[R"SUR-5 [R"SSUS94$)Nr@r7rr)rqrrrandrYs rMr\NestedWrappedModule.get_inputs. !dii-( 1a/11rLc$URU5$rrBrZrs rMrNestedWrappedModule.forward{{1~rLc&UR5nU$r)rrZr`rarfs rMrbNestedWrappedModule.get_lossszz| rLc$UR5 grrres rMrg NestedWrappedModule.run_backwardrrLNr r!rWcUc0nU[R:Xa [USUUS9$U[R:Xa;[U4SUUS.UD6nU[R :XaUR [5nU$[SU35e)a Initializes a :class:`NestedWrappedModule` instance. Args: fsdp_init_mode (FSDPInitMode): If ``NO_FSDP``, then does not wrap any modules with FSDP. If ``RECURSIVE``, then wraps some nested modules with FSDP but not the top-level module. The model may later be wrapped with a top-level FSDP external to this method if desired. device_init_mode (DEVICEInitMode): Determines model movement to DEVICE. fsdp_kwargs (Optional[Dict[str, Any]]): Optional keyword arguments forwarded to the FSDP constructor. deterministic (bool): Whether to make the model deterministic across constructions. FrrrTr%) rBrIr9rJrOrRrrr*)r{r rr!rr/s rMrlNestedWrappedModule.inits.  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QR#BIIb"$5~F   #BIIb!$4nE#BIIaO^D   rLNcUR5H3up#[R"X5(aM"URS5 M5 grV)r~rematchrequires_grad_)rv req_grad_masknps rM_set_nonuniform_req_grad-NonUniformReqGradNWM._set_nonuniform_req_gradLs4**,DA88M--  '-rLr r!c[R"S5nU[R:Xa#[ USUUS9n[R Xe5 U$U[R :XaUUc0n[ U4SUUS.UD6nU[R:XaUR[5n[R Xu5 U$[SU35e)a Initializes a :class:`NestedWrappedModule` instance, but unlike :meth:`NestedWrappedModule.init`, it wraps a second :class:`torch.nn.Sequential` container to enable the desired non-uniform ``requires_grad`` ``use_orig_params=True`` tests. For both ``RECURSIVE`` and ``NO_FSDP`` init modes, freezes all parameters except the last two to validate ``ShardedGradScaler`` support for ranks with no (non-zero sized) local shards in FSDP ``use_orig_params=True`` mode. zmodule\.2.*\.1.*FrSTr%) rbcompilerBrIr\rhrJrOrRrrr*)r{r rr!rreq_grad_pattern ddp_modelr/s rMrlNonUniformReqGradNWM.initRs(::&9: \11 1,!1+ I ! 9 9) V  |55 5" -!1+   J >#>#>>']];7 9 9* W 77GHIIrLrUrnrV)rErFrGrHrr4r5rOrrsrhrBrrr rlrKr6r7s@rMr\r\!s(   ( ( ) (  ( T((  .2# +J  +J$+J)+J#s(^d* +J  +J+JrLr\c ^\rSrSrSrS\R S\S\4U4SjjrSr Sr S r S r \ S \\S \S\S\S \4 Sj5rSrU=r$)ModuleWithDelayizThis class wraps a :class:`FSDPTestModel` to optionally add a delay after computing the loss and/or before the gradient reduction.rBdelay_after_loss_msdelay_before_reduction_mscF>[TU]5 X lX0lXlgr)rrrqrrrB)rZrBrqrrrs rMrModuleWithDelay.__init__s! #6 )B& rLc8URRU5$r)rBr\rYs rMr\ModuleWithDelay.get_inputs{{$$V,,rLc$URU5$rrIrJs rMrModuleWithDelay.forwardrLrLcbURRX5nURS:a[(d [(a%[ R "URS- 5 U$[(a=[RR[UR[5-55 U$Nr) rBrbrqr3r5timesleepr2rqr9_sleeprr0rNs rMrbModuleWithDelay.get_losss}{{##E2  # #a 'x88 433d:;  !!#d&>&>ARAT&T"UV rLc^^[RRmUU4Sjn[R"SU5 TR R U5 SSS5 g!,(df  g=f)Nc8>TRS:a[(a>[RR [ TR[ 5-55 O9[(d [(a#[R"TRS- 5 T"U0UD6$rz) rrr2rqr9r~rr0r3r5r|r})rirjorig_reduce_scatterrZs rM_delayed_reduce_scatter=ModuleWithDelay.run_backward.._delayed_reduce_scattersq--19JJ%%D::=N=PPQXJJt==DE&77 7rLz'torch.distributed.reduce_scatter_tensor)rq distributedreduce_scatter_tensorrpatchrBrg)rZrfrrs` @rMrgModuleWithDelay.run_backwardsR#//EE 8ZZ 57N  KK $ $T *   s A  A. module_class model_args model_kwargsc<[UR"U0UD6UU5$)a Args: module_class (Type[FSDPTestModel]): Wrapped module class to which to add delays. model_args: Positional arguments forwarded to the ``module_class`` ``init()``. delay_after_loss_ms (int): Delay after computing the loss/before the optimizer step (in ms). delay_before_reduction_ms (int): Delay before reduce-scattering gradients (in ms). model_kwargs: Keyword arguments forwarded to the ``module_class`` ``init()``. )rprl)rrqrrrrs rMrlModuleWithDelay.inits**   z :\ :  %  rL)rqrrrB)rErFrGrHrortrurrr\rrbrgrstyperUr rlrKr6r7s@rMrprpsF   ! $' -+$ =)  ! $'     rLrpc\rSrSr\\R SSSS4S\RS\ S\S\ \ \ 4S-S \ S \S \4S jj5rS rg)NestedWrappedModuleWithDelayiNFrr{r rr!rrqrrc >[R[UUUUUUUS9$)Nr{r rr!rrqrr)rprlr9rs rMrl!NestedWrappedModuleWithDelay.inits4## )-#' 3&?$  rLrD)rErFrGrHrsrOrRrr4rBrrr r5rrlrKrDrLrMrrs,:+F+F-1##$)*    $ ) #s(^d*    !  $'  rLrc.^\rSrSrU4SjrSrSrU=r$)DummyDDPic.>[TU]5 Xlgr)rrrB)rZrBrs rMrDummyDDP.__init__s  rLc&UR"U0UD6$rrIrZrirjs rMrDummyDDP.forwards{{D+F++rLrIrErFrGrHrrrKr6r7s@rMrrs,,rLrc^\rSrSrS\R S\S\S\S\4 U4Sjjr Sr S r \ SS\R S \ S\S \\\4S -S\S\4 S jj5rSrU=r$)MixtureOfExpertsir{rrdelay_before_free_msrc >[TU]UUUUS9 XlX@lX lU[ R :HUlU(a#[R"SUR-5 SnSnSn [[R"Xx5UR5n [SU R555UlU R5H n SU lM U(a[R"S5 [[R"X5UR5n U(aF[R$R'UR5/5n [)X40UD6n [)X40UD6n [R*"[[R"X5UR5U U [[R"X5UR55Ulg) N)r{rrr*rrrc3@# UHoR5v M g7fr)numel).0rgs rM ,MixtureOfExperts.__init__.. s$L8K1WWYY8KTr)rrr{rrrOrQrrqrrrrtrrrnum_expert_paramsexpertr new_grouprrArB)rZr{rrrrr!d_expertd_sharedd_inputrrgshared expert_grouprs rMrMixtureOfExperts.__init__s{ -'   $8!"..2N2NN    b499n - 8!>@S@ST!$$L8I8I8K$L!L""$AAH%    a  8!>@S@ST  ,,66L&>+>F&7;7Fmm BIIg8$:M:M N   BIIh8$:M:M N   rLc^^TRS:aTRSn[U[5(ag[R R RRmUU4Sjn[R"SU5 TRU5sSSS5 $TRU5$!,(df  N=f)Nrr8c>[(a>[RR[ TR [ 5-55 O9[(d [(a#[R"TR S- 5 T"U0UD6$)Nr{) r2rqr9r~rrr0r3r5r|r})rirj orig_reshardrZs rM_delayed_reshard2MixtureOfExperts.forward.._delayed_reshard)sc y )) 9 9 {{1~ s B// B=cUR5 UR(d[R"5 UR 5H|n[ US5(aMUR cM%UR RUR5 [RRUR URS9 M~ SSS5 gg!,(df  g=f)Nrrz) rrrqrrhasattrgraddiv_rr all_reducer{)rZrfrgs rMrgMixtureOfExperts.run_backward;s ~~*Aq(++ vv) DOO4))44QVV4::4N +! s2C-AC C Nr r!c Uc0nU[R:Xa [USUUUS9$U[R:Xa<[U4SUUUS.UD6nU[R :XaUR [5nU$[SU35e)a Initializes a :class:`MixtureOfExperts` instance. Args: fsdp_init_mode (FSDPInitMode): If ``NO_FSDP``, then does not wrap any modules with FSDP. If ``RECURSIVE``, then wraps some nested modules with FSDP, including the expert and shared layers, but not the top-level module. The model may later be wrapped with a top-level FSDP external to this method if desired. device_init_mode (DEVICEInitMode): Determines model movement to DEVICE. fsdp_kwargs (Optional[Dict[str, Any]]): Optional keyword arguments forwarded to the FSDP constructor. deterministic (bool): Whether to make the model deterministic across constructions. delay_before_free_ms (int): Delay before resharding expert parameters in the forward pass (in ms). F)rrrrTr%) rBrIrrJrOrRrrr*)r{r rr!rrr/s rMrlMixtureOfExperts.initGs4  K \11 1#!1%9+  |55 5)!1%9+   J >#>#>>']];7  77GHIIrL)rr{rBrrr)NFr)rErFrGrHrr4r5rOrrrrgrsrBrrr rlrKr6r7s@rMrrs2   2 2 ) 2 " 2  2 h0 O .2#$% 0J  0J$0J)0J#s(^d* 0J  0J " 0J0JrLrc ^\rSrSrSSSSS.S\S\R S-S \S \S \4 U4S jjjjrS \RS\R4Sjr Sr Sr U=r $)MLPi{NTFr7)bias with_bufferdim_multiplierdimr[rrrc>[TU]5 [R"XU-X#S9Ul[R"XQ-XUS9UlU(a'UR S[R"U4US95 gSUl g)N)r[rrr) rrrtrin_projout_projrrqrandnr)rZrr[rrrrs rMr MLP.__init__|sf yys&:6U  ."6QUV   5;;vf+M NDKrLrrWcURU5n[R"U5nURU5n[R"U5nURbX R-nU$r)rFrelurr)rZrzs rMr MLP.forwardsQ LLO FF1I MM!  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Provides common helper methods for both FSDPTest and FSDPTestContinuous. c:URX!R5 gr)r0r)rZr/rs rM_check_cpu_offload FSDPTestMixin._check_cpu_offloads &<&<=rLc:URX!R5 gr)r0backward_prefetch)rZr/r`s rM_check_backward_prefetch&FSDPTestMixin._check_backward_prefetchs *,H,HIrLc:URX!R5 gr)r0forward_prefetch)rZr/rds rM_check_forward_prefetch%FSDPTestMixin._check_forward_prefetchs )+F+FGrLc [U/UQ70UD6$rrLrs rMr-FSDPTestMixin.run_subtestsrNrLc U"U5nXlX6lURSS5n[SURSUR35 [ S:wa`[ RR5UR:a4[R"[SUR3R5 U(a^[ RRRR R#5n[$R&"SURUUS9 OC[$R&"UR([*[-UR5URS 9 Sn UR[2-n [4(d [6(a[ RR9U 5 U /n [$R:"U S 9 [ R<R?5 [A5 URCX$5 [ R<R?5 [$R:"U S 9 [$RD"5 g![.a@n S U R0S ;a'[R"[S R5 eSn A ff=f)Nfake_pgF dist init r=, world=r> multi-gpu-fakebackendrrstore init_methodrprr recompilerbackend_unavailable device_ids)#r file_namegetprintrrrq accelerator device_countsysexitr. exit_codetesting _internalrrj FakeStorerinit_process_grouprsDISTRIBUTED_BACKENDr RuntimeErrorrirCr2r5set_device_indexrrQrRr1run_testdestroy_process_group r(r test_namerxpiperjrZrjrqerw device_ids rM_runFSDPTestMixin._runs9~ "**Y. TYYKx/@AB % E$5$5$B$B$Dt$V HHZ*T__,= >?II J  //;;CCMMO''"# '' $ 0 0/"4??3  II , 9    . .y 9[ +  i&  + ""$1 affQi'$9:DDE   s 7A$IAI J  ;JJ NFrv num_stepsautocastlrfsdp_cpu_offload save_modelmixed_precisionenable_sharded_grad_scaler use_pure_fp16sharded_grad_scaler_kwargsc U=(a URn [UR55Rn U c0n [ S SU0U D6n [ R RUR5USS9n[U5GHtnUR5 [ RR[US9 URR[ R"[55nU (dU(aW[U[ 5(dB[U[ R"5(aUR%5nO['SU55nU"U6nU (ap[U[ 5(a[UR([*;aGUR5H3nUR-UR[ R"S55 M5 URR/UU5R1U 5nSSS5 U R3W5nU(d1U (d*UR4[ R6:wa [9S5eOU (a+UR-UR4[ R:5 Ot[U[ 5(a5Uc [9S5eUR-UR4UR<5 O*UR-UR4[ R65 URR?U5 U (a\[U[ 5(aGUR5H3nUR-UR[ R"S55 M5 U RAU5 U RC5 U(dGMURE5RG5VVs0sHunnUURI5_M nnn[KU5 URMU5 GMw [U[ 5(aURO[PRR5 WRU5$!,(df  GNN=fs snnf) Nenabledg?)rmomentum)rc3@# UHoR5v M g7fr)r)rrs rMr9FSDPTestMixin._train_for_several_steps..s%>1ffhhrr>zQloss data type should be float32, as the original parameter data type is float32.z'Expected mixed_precision to not be NonerD)+offload_paramsnextrr[rrqoptimSGDr zero_gradamprrrBr\r&rrrrrpr$rr0rbrscalerfloat32rfloat16 param_dtypergstepupdaterrclonerload_state_dict _assert_staterIDLEr)rZrvrrrrrrrrrcpu_offload_params model_devicesharded_grad_scalerrrr`rargrfkvrs rM_train_for_several_steps&FSDPTestMixin._train_for_several_stepss@.Q2B2Q2QE,,./66 % -)+ &/ . 2L    0 0 2rCHy!A OO ##K#B ..u||K/HI _Zt=T=T!%66 %  %%>%> >'"5$////>?#--/((5<<3FG0||,,UF;>>|L-C.',,T2D"=::.(:/ !$$TZZ?t,,&.,E$$TZZ1L1LM$$TZZ? LL % %d +!j&=&=))+A$$QXXu||E/BC, $ $U +  & & (z7<7G7G7I7O7O7QR7Qtq!al7Q RE"%%j1{"~ eT " "    2 2 3{{}CBnSs9EQ:Q Q r8T model_classr r ref_init_fn num_itersrr`r$rduse_orig_params init_kwargsc @U[R:Xa [S5eUc0nSnURR 5nUR "UR[R[ R4SS0UD6nUcC[(a[U[/[S9nO+[S:Xa [U5nO[UU/US9nOU"U5nU(aUR5nURUUU SLUUU U UUS9 n[UR55nURUUU U U U S .5 UR "URUUU4SS0UD6n['U[(5(d[)UUR40UD6nU(aUR5nU[ R*:XaUR-[5nUSL=(a UR.nU=(a U[ R*:HnU=(a U[ R*:gnU(aI[0R2"S5nUR5HnUR5UR2U5 M! U(aUR7[8S [35O [;5nU URUUS UUUU U UUS9 n SSS5 U(agU(a^[0R2"S5nUR5HnUR5UR2U5 M! W R-[5n [=U5n![0R>RAUW S S9 U cU(dUR5UU!SSS9 ggg![ a n[#S US [%U535UeSnAff=f!,(df  N=f)a Tests FSDP training against a reference, which defaults to DDP but may be customized with ``ref_init_fn``. Args: model_class (Type[FSDPTestModel]): A model class that inherits from ``FSDPTestModel``, which defines the expected interface. fsdp_init_mode (FSDPInitMode): The mode to initialize the FSDP-wrapped model. This should not be ``NO_FSDP``. ref_init_fn (Optional[Callable]): A callable to invoke that wraps a non-wrapped model to construct the reference model, where this wrapper should provide data parallel semantics. If ``None``, then the callable defaults to the DDP constructor. z.Expects an FSDP init mode that wraps with FSDPN{Gz?rT)rw output_devicer>)rrrrrrr)rr`r$rrdrz Initializing z raised error zOAn FSDP-managed module with parameter CPU offloading enabled has parameters on F)rrrrrrrr) check_dtypezFSDP did not match DDP) exact_devicemsg)!rBrIrrwrrlrOrQr3DDPrrrrrr Exceptionr*rr&rrRrrrqr[r0assertRaisesRegexrrrr assert_close)"rZrr rrrrrr`r$rrdrrrrrr!rrrv ref_modelref_loss ddp_paramsr/rrexpects_device_errorexpects_cpu_device cpu_devicercontext fsdp_lossfsdp_unsharded_paramss" rM_test_fsdp_parityFSDPTestMixin._test_fsdp_parityOsD \11 1 !QR R  K !!&&(       ( (       x{m; %J 4&M #E*I !(I00  $D0(+'A''A1  )..01 *%6%6#2$4#2    Y$))""   #   J*d++j$*<*<L LJ #*J ~:: :#{3J$D0O[5O5O  N/>3N3NN   N/>3N3NN  e,J#..0  z:1$  " "%%0M3   55!,% /+E++E6 I  e,J#..0  z:1! 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TYYKx/@AB    ) ) +doo = HHZ*T__,= >?II J  //;;CCMMO''"# '' $ 0 0/"4??3  II , 9    . .y 9[ +  i&  + ""$1 affQi'$9:DDE   s -A$H7AH77 J;I<<Jr)rErFrGrHrGrYrrwr5rrsrrrKr6r7s@rMrrss ::d004%4%rLrc^\rSrSr%Sr\r\\S'\ S\ 4Sj5r \ S\ 4Sj5r \ U4Sj5r U4SjrU4S jr\S 5rS rU=r$) FSDPTestContinuousiLz FSDP test base class using MultiProcContinuousTest for faster test execution. This class reuses worker processes across tests, reducing process spawn overhead. Use this for tests that don't require fresh process state between tests. rrWc[$r)rr(s rM backend_strFSDPTestContinuous.backend_strUs""rLc[$r)rrs rM device_typeFSDPTestContinuous.device_typeYsrLc`>S[RS'[RR 5U:a*[ R "[SU3R5 U[-n[(d [(a[RRU5 [TU]9XU5 g)Nrrrm)rrrqr{r|r}r~r.rrCr2r5rr_init_pg)r(rr rdvz_filerrs rMrFSDPTestContinuous._init_pg]s 14 ,-    ) ) +j 8 HHZ*ZL 9:DD E<' 9    . .y 9 95rLc>[TU]5 URUR:wa[R "5 [ RR5 [5 gr) rrGrMAIN_PROCESS_RANKrrrqrQrRr1rIs rMrGFSDPTestContinuous.setUpms>   99.. . 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