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torch._functorch.deprecated.gradz*torch._functorch.deprecated.grad_and_valueztorch._functorch.deprecated.vjpztorch._constrain_as_sizeztorch._tensor._convertztorch.jit._unwrap_optionalz'torch.backends.mha.get_fastpath_enabledz"torch._C._functorch._add_batch_dimz%torch._C._functorch._remove_batch_dimz"torch._C._functorch._wrap_for_gradz$torch._C._functorch._unwrap_for_gradz'torch._C._functorch.maybe_current_levelz$torch._C._functorch.is_batchedtensorztorch._dynamo.mark_staticz:torch.fx.experimental.symbolic_shapes.guard_size_obliviousz!torch.cuda._get_device_propertiesztorch.utils.hooks.BackwardHookztorch.set_default_deviceztorch.sparse_bsc_tensorztorch.sparse_bsr_tensorztorch.sparse_csc_tensorztorch.sparse_csr_tensorztorch.sparse_compressed_tensorz.torch._C._autograd._unsafe_set_version_counterz.torch/testing/_internal/common_fsdp.py#forwardz'torch/testing/_internal/common_fsdp.py#zEtorch/testing/_internal/distributed/_tensor/common_dtensor.py#forwardz>torch/testing/_internal/distributed/_tensor/common_dtensor.py#z5torch/testing/_internal/common_distributed.py#forwardz.torch/testing/_internal/common_distributed.py#(b  z	math.acosz
math.acoshz	math.asinz
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math.atan2z
math.atanhz	math.ceilz	math.combzmath.copysignzmath.cosz	math.coshzmath.degreesz	math.distzmath.erfz	math.erfczmath.expz
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math.floorz	math.fmodz
math.frexpz	math.fsumz
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math.hypotzmath.isclosezmath.isfinitez
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torch._C._cpu._is_avx2_supported"torch._C._cpu._is_avx512_supported'torch._C._cpu._is_avx512_vnni_supported'torch._C._cpu._is_avx512_bf16_supported$torch._C._cpu._is_amx_tile_supported$torch._C._cpu._is_amx_fp16_supportedztorch._C._cpu._init_amx#torch._C._cpu._is_arm_sve_supportedztorch._C._crash_if_aten_asanztorch._C._crash_if_csrc_asanztorch._C._crash_if_csrc_ubsanz%torch._C._crash_if_debug_asserts_failztorch._C._crash_if_vptr_ubsanz$torch._C._create_function_from_graphz.torch._C._create_function_from_trace_with_dictz$torch._C._create_function_from_tracez!torch._C._create_graph_by_tracingz!torch._C._create_module_with_typez!torch._C._create_object_with_typez,torch._C._cuda_attach_out_of_memory_observerz/torch._C._cuda_beginAllocateCurrentStreamToPoolz"torch._C._cuda_canDeviceAccessPeerz%torch._C._cuda_changeCurrentAllocatorz'torch._C._cuda_checkPoolLiveAllocationsz$torch._C._cuda_clearCublasWorkspacesz-torch._C._cuda_cudaCachingAllocator_raw_allocz.torch._C._cuda_cudaCachingAllocator_raw_deletez:torch._C._cuda_cudaCachingAllocator_set_allocator_settingsz 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torch.cuda.memory.memory_summaryz0torch.cuda.memory.reset_accumulated_memory_statsz,torch.cuda.memory.reset_max_memory_allocatedz)torch.cuda.memory.reset_max_memory_cachedz)torch.cuda.memory.reset_peak_memory_statsz1torch.cuda.memory.set_per_process_memory_fractionz$torch.cuda.nccl._check_sequence_typeztorch.cuda.nccl.all_gatherztorch.cuda.nccl.all_reduceztorch.cuda.nccl.broadcastztorch.cuda.nccl.init_rankztorch.cuda.nccl.is_availableztorch.cuda.nccl.reduce_scatterztorch.cuda.nccl.reduceztorch.cuda.nccl.unique_idztorch.cuda.nccl.versionztorch.cuda.nvtx.markztorch.cuda.nvtx.range_endztorch.cuda.nvtx.range_popztorch.cuda.nvtx.range_pushztorch.cuda.nvtx.range_startztorch.cuda.nvtx.rangeztorch.cuda.power_drawztorch.cuda.profiler.initztorch.cuda.profiler.profileztorch.cuda.profiler.startztorch.cuda.profiler.stopz#torch.cuda.random.get_rng_state_allztorch.cuda.random.initial_seedz!torch.cuda.random.manual_seed_allztorch.cuda.random.manual_seedztorch.cuda.random.seed_allztorch.cuda.random.seedz#torch.cuda.random.set_rng_state_allztorch.cuda.set_streamztorch.cuda.set_sync_debug_modeztorch.cuda.streamztorch.cuda.synchronizeztorch.cuda.temperatureztorch.cuda.utilizationztorch.einsumz!torch.functional._check_list_sizez+torch.functional._consecutive_return_countsz2torch.functional._consecutive_return_inverse_falsez1torch.functional._consecutive_return_inverse_truez,torch.functional._consecutive_return_inversez+torch.functional._consecutive_return_outputztorch.functional._lu_implztorch.functional._lu_no_infosztorch.functional._lu_with_infosztorch.functional._meshgridztorch.functional._return_countsz&torch.functional._return_inverse_falsez%torch.functional._return_inverse_truez torch.functional._return_inverseztorch.functional._return_outputz)torch.functional._unique_consecutive_implztorch.functional._unique_implztorch.functional._unravel_indexz!torch.functional.broadcast_shapesztorch.functional.luztorch.functional.uniqueztorch.functional.unravel_indexztorch.futures.collect_allztorch.futures.wait_allz6torch.fx.experimental.const_fold.split_const_subgraphsz*torch.fx.experimental.proxy_tensor.make_fxz"torch.get_deterministic_debug_modez"torch.get_float32_matmul_precisionz3torch.is_deterministic_algorithms_warn_only_enabledztorch.is_storageztorch.is_tensorztorch.is_warn_always_enabledztorch.masked._ops._anyz,torch.masked._ops._apply_docstring_templatesz torch.masked._ops._canonical_dimz)torch.masked._ops._combine_input_and_maskz%torch.masked._ops._generate_docstringztorch.masked._ops._input_maskztorch.masked._ops._output_maskz%torch.masked._ops._reduction_identityz-torch.masked._ops._sparse_coo_flatten_indicesz6torch.masked._ops._sparse_coo_scatter_reduction_helperz#torch.masked._ops._sparse_coo_wherez6torch.masked._ops._sparse_csr_segment_reduction_helperz#torch.masked._ops._sparse_csr_whereztorch.masked._ops._std_varztorch.masked._ops._whereztorch.masked._ops.amaxztorch.masked._ops.aminztorch.masked._ops.argmaxztorch.masked._ops.argminz*torch.masked._ops.corresponding_real_dtypeztorch.masked._ops.cumprodztorch.masked._ops.cumsumztorch.masked._ops.log_softmaxztorch.masked._ops.logaddexpztorch.masked._ops.logsumexpztorch.masked._ops.meanztorch.masked._ops.medianztorch.masked._ops.normztorch.masked._ops.normalizeztorch.masked._ops.prodztorch.masked._ops.softmaxztorch.masked._ops.softminztorch.masked._ops.stdztorch.masked._ops.sumztorch.masked._ops.varztorch.meshgridz$torch.mps._get_default_mps_generatorz"torch.mps.current_allocated_memoryz!torch.mps.driver_allocated_memoryztorch.mps.empty_cacheztorch.mps.get_rng_stateztorch.mps.manual_seedztorch.mps.profiler.profileztorch.mps.profiler.startztorch.mps.profiler.stopztorch.mps.seedz)torch.mps.set_per_process_memory_fractionztorch.mps.set_rng_stateztorch.mps.synchronizez7torch.nested._internal.nested_tensor.buffer_from_jaggedz6torch.nested._internal.nested_tensor.get_tensor_symintz5torch.nested._internal.nested_tensor.is_expandable_toz5torch.nested._internal.nested_tensor.jagged_from_listzCtorch.nested._internal.nested_tensor.jagged_from_tensor_and_lengthszDtorch.nested._internal.nested_tensor.nested_view_from_values_offsetszLtorch.nested._internal.nested_tensor.nested_view_from_values_offsets_lengthsztorch.nested.as_nested_tensorztorch.nested.narrowztorch.nested.nested_tensorztorch.nn._reduction.get_enumz#torch.nn._reduction.legacy_get_enumz%torch.nn._reduction.legacy_get_stringztorch.nn.factory_kwargsz'torch.nn.functional.adaptive_avg_pool2dz'torch.nn.functional.adaptive_avg_pool3dz4torch.nn.functional.adaptive_max_pool1d_with_indicesz'torch.nn.functional.adaptive_max_pool1dz4torch.nn.functional.adaptive_max_pool2d_with_indicesz'torch.nn.functional.adaptive_max_pool2dz4torch.nn.functional.adaptive_max_pool3d_with_indicesz'torch.nn.functional.adaptive_max_pool3dztorch.nn.functional.affine_gridz!torch.nn.functional.alpha_dropoutz&torch.nn.functional.assert_int_or_pairztorch.nn.functional.batch_normz4torch.nn.functional.binary_cross_entropy_with_logitsz(torch.nn.functional.binary_cross_entropyztorch.nn.functional.celuz)torch.nn.functional.cosine_embedding_lossz!torch.nn.functional.cross_entropyztorch.nn.functional.ctc_lossztorch.nn.functional.dropoutztorch.nn.functional.dropout1dztorch.nn.functional.dropout2dztorch.nn.functional.dropout3dztorch.nn.functional.eluz!torch.nn.functional.embedding_bagztorch.nn.functional.embeddingz)torch.nn.functional.feature_alpha_dropoutztorch.nn.functional.foldz6torch.nn.functional.fractional_max_pool2d_with_indicesz)torch.nn.functional.fractional_max_pool2dz6torch.nn.functional.fractional_max_pool3d_with_indicesz)torch.nn.functional.fractional_max_pool3dz%torch.nn.functional.gaussian_nll_lossztorch.nn.functional.gluztorch.nn.functional.grid_sampleztorch.nn.functional.group_normz"torch.nn.functional.gumbel_softmaxztorch.nn.functional.hardsigmoidztorch.nn.functional.hardswishztorch.nn.functional.hardtanhz(torch.nn.functional.hinge_embedding_lossztorch.nn.functional.huber_lossz!torch.nn.functional.instance_normztorch.nn.functional.interpolateztorch.nn.functional.kl_divztorch.nn.functional.l1_lossztorch.nn.functional.layer_normztorch.nn.functional.leaky_reluz'torch.nn.functional.local_response_normztorch.nn.functional.log_softmaxztorch.nn.functional.lp_pool1dztorch.nn.functional.lp_pool2dz'torch.nn.functional.margin_ranking_lossz+torch.nn.functional.max_pool1d_with_indicesztorch.nn.functional.max_pool1dz+torch.nn.functional.max_pool2d_with_indicesztorch.nn.functional.max_pool2dz+torch.nn.functional.max_pool3d_with_indicesztorch.nn.functional.max_pool3dz torch.nn.functional.max_unpool1dz torch.nn.functional.max_unpool2dz torch.nn.functional.max_unpool3dztorch.nn.functional.mishztorch.nn.functional.mse_lossz0torch.nn.functional.multi_head_attention_forwardz%torch.nn.functional.multi_margin_lossz*torch.nn.functional.multilabel_margin_lossz/torch.nn.functional.multilabel_soft_margin_lossztorch.nn.functional.nll_lossztorch.nn.functional.normalizez$torch.nn.functional.poisson_nll_lossztorch.nn.functional.reluztorch.nn.functional.relu6ztorch.nn.functional.rreluztorch.nn.functional.seluztorch.nn.functional.sigmoidztorch.nn.functional.siluz"torch.nn.functional.smooth_l1_lossz$torch.nn.functional.soft_margin_lossztorch.nn.functional.softmaxztorch.nn.functional.softminztorch.nn.functional.softsignztorch.nn.functional.tanhztorch.nn.functional.tanhshrinkz'torch.nn.functional.triplet_margin_lossztorch.nn.functional.unfoldz%torch.nn.functional.upsample_bilinearz$torch.nn.functional.upsample_nearestztorch.nn.functional.upsampleztorch.nn.grad._pairztorch.nn.grad._singleztorch.nn.grad._tripleztorch.nn.grad.conv1d_inputztorch.nn.grad.conv1d_weightztorch.nn.grad.conv2d_inputztorch.nn.grad.conv2d_weightztorch.nn.grad.conv3d_inputztorch.nn.grad.conv3d_weightz/torch.nn.modules.activation._is_make_fx_tracingz)torch.nn.modules.utils._list_with_defaultztorch.nn.modules.utils._ntuplez!torch.nn.modules.utils._quadruplez,torch.nn.modules.utils._reverse_repeat_tuplez>torch.nn.modules.utils.consume_prefix_in_state_dict_if_presentztorch.nn.parameter.is_lazyz
torch.normz"torch.quantization.default_eval_fnz torch.random._seed_custom_deviceztorch.random.fork_rngztorch.random.initial_seedztorch.random.seedz,torch.return_types.pytree_register_structseqztorch.set_default_dtypeztorch.set_default_tensor_typez"torch.set_deterministic_debug_modez"torch.set_float32_matmul_precisionztorch.set_warn_alwaysz(torch.signal.windows.windows._add_docstrz4torch.signal.windows.windows._window_function_checksz%torch.signal.windows.windows.bartlettz%torch.signal.windows.windows.blackmanz#torch.signal.windows.windows.cosinez(torch.signal.windows.windows.exponentialz%torch.signal.windows.windows.gaussianz+torch.signal.windows.windows.general_cosinez,torch.signal.windows.windows.general_hammingz$torch.signal.windows.windows.hammingz!torch.signal.windows.windows.hannz#torch.signal.windows.windows.kaiserz(torch.signal.windows.windows.merge_dictsz$torch.signal.windows.windows.nuttallz)torch.signal.windows.windows.parse_kwargsz6torch.sparse.semi_structured.to_sparse_semi_structuredztorch.sparse.sumztorch.splitz
torch.stftr!   r"   r%   r#   r$   r    ztorch.tensordotztorch.typenameztorch.unique_consecutivez"torch.use_deterministic_algorithmsreturnr   c                     0 n [          Hx  nUR                  5        Ha  u  p#SU;  a  [        U5      nO[        [        5      U[        S5      S  -   nUc  M:  X@;   a  X   U:w  a  [        SU SU SX    35      eX0U'   Mc     Mz     U $ )Nz.py#ztorch/zDuplicate torch object z with different rules: z, )torch_name_rule_mapitemsload_object_module_dirtorchlenAssertionError)dmkvobjs        X/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torch/_dynamo/trace_rules.pyget_torch_obj_rule_mapr?   5  s    *,A GGIDAQ!!n!%(1S]_+==8!(1#6MaSPRSTSYRZ[  cF  ! H    c                 f    U R                  SSS9u  p[        [        R                  " U5      U5      $ )N.r   )maxsplit)rsplitgetattr	importlibimport_module)fully_qualified_namemoduleobj_names      r>   _load_obj_from_strrK   H  s2    +2232CF9**62H==r@   c                     U R                  S5      n[        U5      S:X  a  [        US   5      n[        X!S   5      nO'[        U5      S:X  d
   SU  35       e[        US   5      n[	        U5      nU$ ! [
        [        4 a    S n U$ f = f)N#   r   r   zInvalid obj name )splitr7   rK   rE   r   AttributeErrorImportError)namexr=   vals       r>   r4   r4   R  s    
JJsOq6Q;$QqT*C#t$Cq6Q;:"3D6 ::;$QqT*C$ J K( Js   A/A3 3B	B	c                     [        5       n [        [        R                  5       H_  n[	        [        R                  U5      n[        U[        R                  [        R                  45      (       d  MN  U R                  U5        Ma     U R                  [        R                  R                  5        U R                  [        R                  R                  5        [        U 5      $ N)setdirr6   TensorrE   
isinstancetypesMethodDescriptorTypeWrapperDescriptorTypeadd__contains__register_hook	frozenset)srR   methods      r>   get_tensor_methodrd   f  s    AELL!t,U//1L1LM
 
 EE&M " EE%,,
#
#$EE%,,
$
$%Q<r@   c                     U [        5       ;   =(       d>    [        U [        R                  R                  [        R                  R
                  45      $ rV   )rd   rZ   r6   _opsOpOverloadPacket
OpOverloadr=   s    r>   is_aten_op_or_tensor_methodrj   {  s>    #%% 		$	$ejj&;&;<* r@   c                       \ rS rSr% SrSr\\\      \	S'   Sr
\\\\4      \	S'   S\/ \\\\4   \\   4   4   SS4S jrS\\   4S	 jrS
\S\4S jrS
\4S jrS
\4S jrS
\S\4S jrSrg)FunctionIdSeti  a  
Track a set of `id()`s of objects which are either allowed or not
allowed to go into the generated FX graph.  Use to test for torch.*,
numpy.*, builtins.*, etc.

Support user modification to permit customization of what can be
added to the graph and what will cause a graph break.
Nfunction_idsfunction_nameslazy_initializerr0   c                     Xl         g rV   )ro   )selfro   s     r>   __init__FunctionIdSet.__init__  s
     !1r@   c                    U R                   cr  U R                  5       n[        U[        5      (       a0  [	        UR                  5       5      U l         Xl        U R                   $ [        U[        5      (       d   eXl         U R                   $ rV   )rm   ro   rZ   dictrW   keysrn   )rq   values     r>   __call__FunctionIdSet.__call__  sw    $))+E%&&$'

$5!&+#     "%----$)!   r@   idxdefaultc                 d    U " 5         U R                   c   eU R                   R                  X5      $ rV   )rn   get)rq   rz   r{   s      r>   get_nameFunctionIdSet.get_name  s0    ""...""&&s44r@   c                 4    U " 5       nUR                  U5        g rV   )r^   rq   rz   rm   s      r>   r^   FunctionIdSet.add  s    vr@   c                 @    U " 5       nX;   a  UR                  U5        g g rV   )remover   s      r>   r   FunctionIdSet.remove  s"    v$ r@   c                     X" 5       ;   $ rV    )rq   rz   s     r>   r_   FunctionIdSet.__contains__  s    df}r@   )rm   rn   ro   )__name__
__module____qualname____firstlineno____doc__rm   r
   r   int__annotations__rn   r   strr   r   rr   rx   r~   r^   r   boolr_   __static_attributes__r   r@   r>   rl   rl     s     (,L(3s8$+/3NHT#s(^,31 (U4S>3s83K-L)L M1	1
	!#c( 	!5C 5# 5
s %# %
  r@   rl   c                  
    0 n U $ rV   r   rvs    r>   _allowed_callable_idsr         BIr@   c                  
    0 n U $ rV   r   r   s    r>   _disallowed_callable_idsr     r   r@   c            	      T   [         R                  R                  5        V Vs0 s H>  u  pU R                  S5      (       a  M  [	        U5      (       d  M/  [        U5      SU  3_M@     nn nUR                  [        R                  R                  5        V Vs0 s H>  u  pU R                  S5      (       a  M  [	        U5      (       d  M/  [        U5      SU  3_M@     snn 5        UR                  [        [        5      S[        [        R                  5      S05        U$ s  snn f s  snn f )N_	builtins.z	operator.ztyping.castzcopy.deepcopy)builtins__dict__r3   
startswithcallableidupdateoperatorr   copydeepcopyr;   r<   r   s      r>   _builtin_function_idsr     s    
 %%++-
-DA||C  	%-a[ 	11#-  

 II !))//1	
1<<$ #)1! #BqEYqc?"1	
 IItHmt}}	
 I%
	
s#   DDDD$
6D$
D$
c                      [        5       $ rV   )rW   r   r@   r>   _polyfilled_function_idsr     s     5Lr@   c                     ^ 1 SkmU4S jn 0 n[          HS  nUR                  R                  5        H2  u  p4U " X4U5      (       d  M  UR                   SU 3U[	        U5      '   M4     MU     U$ )N>   ranfseedsampleRandomStateget_bit_generatorset_bit_generatorc                    > [        U5      (       d  g[        USS 5      (       d  gUR                  UR                  :X  a  gUR                  S:X  a  UR                  S:X  a  U T;  a  gg)NFr   Tznumpy.random.mtrandznumpy.random)r   rE   r   r   )r;   r<   modunsupported_funcss      r>   is_supported)_numpy_function_ids.<locals>.is_supported  s\    {{q,--<<3<<'LL11.**r@   rB   )r   r   r3   r   r   )r   r   r   r;   r<   r   s        @r>   _numpy_function_idsr     sj     
B#LL&&(DAA#&&"||nAaS12a5	 ) $ Ir@   c                      [         R                  R                  5        V Vs0 s H>  u  pU R                  S5      (       a  M  [	        U5      (       a  M/  [        U5      SU  3_M@     nn nU$ s  snn f )z;
Collects constant builtins by eliminating callable items.
r   r   )r   r   r3   r   r   r   r   s      r>   _builtin_constant_idsr     sj     %%++-
-DA||C  	)1! 	11#-  

 I
s   A,A,A,_lazy_module_initrR   	init_funcc                 l    SU ;  d
   SU  35       eU [         ;  d   e[         U    R                  U5        g)z.Register a module without eagerly importing itrB   z%Expected a root module name, but got N)r   append)rR   r   s     r>   add_module_init_funcr     s?     d?JCD6JJ?((((d""9-r@   r=   c                     [        U SS 5      nUc  g UR                  S5      S   n[        R                  US 5      nUb  U H
  nU" 5         M     g g )Nr   rB   r   )rE   rO   r   pop)r=   rI   base_module
init_funcsfns        r>   _maybe_init_lazy_moduler     sW    S,-F~,,s#A&K"&&{D9JBD  r@   c                 <    [        U 5        [        U 5      [        ;   $ rV   )r   r   r   ri   s    r>   is_callable_allowedr   !  s    C c7+++r@   c                 <    [        U 5        [        U 5      [        ;   $ rV   )r   r   r   ri   s    r>   is_callable_disallowedr   &  s    C c7...r@   c                 H    [        U 5        [        R                  " U SS5      $ )N_dynamo_forbiddenF)r   inspectgetattr_staticri   s    r>   is_forbiddenr   +  s     C !!#':EBBr@   c                 &    [        U 5      [        ;   $ rV   )r   r   ri   s    r>   is_builtin_callabler   0  s    c7+++r@   c                 &    [        U 5      [        ;   $ rV   )r   r   ri   s    r>   is_builtin_constantr   5  s    c7+++r@   c                 &    [        U 5      [        ;   $ rV   )r   r   ri   s    r>   is_polyfilled_callabler   9  s    c7...r@   c                     [         c  g[        U [         R                  [         R                  45      =(       d    [	        U 5      [
        ;   $ NF)r   rZ   ndarraygenericr   r   ri   s    r>   is_numpyr   >  s3    	zcBJJ

34V3CV8VVr@   c                 F    [         c  g[        U [         R                  5      $ r   )r   rZ   dtyperi   s    r>   is_numpy_dtyper   D  s    	zc288$$r@   c                 f    [         c  g[        U [         R                  [         R                  45      $ r   )r   rZ   finfoiinfori   s    r>   is_numpy_type_infor   J  s$    	zcBHHbhh/00r@   )
fx2trt_oss
hypothesisnetworkxnumpyonnxonnxruntimeonnx_tfpandassklearntabulate
tensorflowtensorrt	torch2trttqdmtreetvmxarrayc                     [        [        R                  R                  U 5      5      R	                  5       nU R                  [        R                  R                  S45      (       a  US-  nU$ )N/)r   ospathnormpathas_posixendswithsep)r   
posix_paths     r>   _as_posix_pathr     sP    bgg&&t,-668J}}bggkk3'((c
r@   c                 f    SnU R                  U5      (       a  U S [        U5      *  n [        U 5      $ )Nz__init__.py)r   r7   r   )rb   suffixs     r>   _strip_init_pyr     s3    Fzz&nV!r@   r:   c                 D    [        U SS 5      nU=(       a    [        U5      $ )N__file__)rE   r   )r:   files     r>   r5   r5     s"     1j$'D(N4((r@   >   torch.optimtorch._functorch.apistorch._export.wrapperstorch.export.unflattentorch._export.db.examplestorch._functorch.deprecatedtorch._dynamo.external_utilstorch._higher_order_ops.condtorch._higher_order_ops.scantorch._higher_order_ops.utils torch.ao.quantization.pt2e.utils!torch.nn.attention.flex_attention"torch._higher_order_ops.while_loop$torch.ao.quantization.pt2e.qat_utils'torch.ao.quantization.pt2e.export_utils(torch._higher_order_ops.associative_scan1torch.ao.quantization.pt2e.representation.rewrite1torch.ao.quantization.quantizer.xnnpack_quantizer>   torch.distributed.device_meshtorch.distributed.tensor._api$torch.distributed.tensor.device_mesh'torch.distributed._composable.replicate'torch.distributed.tensor.parallel.style(torch.distributed.tensor.parallel._utils6torch.distributed.tensor.parallel._data_parallel_utils;torch.distributed.algorithms._checkpoint.checkpoint_wrapperz#torch.distributed.fsdp._fully_shard)-ztorch._decompz,torch._dynamo._trace_wrapped_higher_order_opztorch._dynamo.comptimeztorch._dynamo.polyfillsz7torch._functorch._aot_autograd.subclass_parametrizationz"torch._functorch.autograd_functionz!torch._functorch.eager_transformsz torch._functorch.functional_callztorch._functorch.vmapr  z'torch._higher_order_ops.invoke_subgraphr  z#torch._higher_order_ops.strict_moder  ztorch._inductor.test_operatorsztorch._library.autogradztorch._library.custom_opsztorch._primsztorch._refsztorch._tensorztorch.amp.autocast_modeztorch.ao.nnztorch.autograd.functionztorch.backends.cudaztorch.cuda.amp.autocast_modeztorch.distributionsztorch.export._tree_utilsztorch.fx._pytreeztorch.fx._symbolic_tracez"torch.fx.experimental.proxy_tensorztorch.fx.passes.shape_propztorch.nnztorch.overridesztorch.randomztorch.return_typesztorch.sparseztorch.testingztorch.utils._content_storeztorch.utils._contextlibztorch.utils._cxx_pytreeztorch.utils._deviceztorch.utils._foreach_utilsztorch.utils._python_dispatchztorch.utils._pytreeztorch.utils.hooksztorch.distributedc            
          [          V s1 s H:  n [        [        [        5      U [	        S5      S  R                  SS5      -   5      iM<     nn U$ s  sn f Nztorch.rB   r   )LEGACY_MOD_INLINELISTr   r5   r6   r7   replacer:   
inlinelists     r>   get_legacy_mod_inlinelistr     sX     '&A 	{5)Ac(mo,>,F,FsC,PPQ&   	   AAc            
          [          V s1 s H:  n [        [        [        5      U [	        S5      S  R                  SS5      -   5      iM<     nn U$ s  sn f r  )MOD_INLINELISTr   r5   r6   r7   r  r  s     r>   get_mod_inlinelistr$    sX      A 	{5)Ac(mo,>,F,FsC,PPQ   	r!  z<frozen importlibz<frozen abcz<__array_function__ internals>ztriton/backendszmatch nothing^ztorch._inductor.configFBCODE_SKIP_DIRSz.*(|)>   torchrec/distributedtrochrec/fb/distributed5caffe2/torch/fb/sparsenn/pooled_embeddings_modules.pyc              #   `   #    U  H$  n[         R                  " [        U5      5      v   M&     g 7frV   reescaper   .0r9   s     r>   	<genexpr>r1  /  s#     S9RA299^A.//9R   ,.ztorchrec/distributed/types.pyc              #   `   #    U  H$  n[         R                  " [        U5      5      v   M&     g 7frV   r,  r/  s     r>   r1  r1  =  s#     ]9\A299^A.//9\r2  zoptim/lr_scheduler.pyc                  l    [         R                  " SSR                  S [         5       5       S35      qg )Nz	^[^\s<]*(r&  c              3   `   #    U  H$  n[         R                  " [        U5      5      v   M&     g 7frV   r,  r/  s     r>   r1   _recompile_re.<locals>.<genexpr>K  s!     NIqbiiq(9::Ir2  r'  )r-  compilejoin	SKIP_DIRSSKIP_DIRS_REr   r@   r>   _recompile_rer;  H  s,    ::SXXNINNOqQLr@   import_namec                 6   [        U [        R                  5      (       a  [        U R                  5      $ [        U [
        5      (       d   eSSKJn  U" U 5      nU(       d  g UR                  nUc  g [        R                  [        U5      5        [        5         g )Nr   )	find_spec)rZ   r[   
ModuleTyper^   r   r   importlib.utilr>  originr9  r   r   r;  )r<  r>  module_specrA  s       r>   r^   r^   O  sw    +u//00;''((k3''''(K(KF~^F+,Or@   c                   0    \ rS rSr% \\S'   \\   \S'   Srg)
SkipResulti_  skippedreasonr   N)	r   r   r   r   r   r   r
   r   r   r   r@   r>   rD  rD  _  s    MSMr@   rD  c                 n  ^  T c  [        SS5      $ [        T 5      m T [        ;   a  [        SS5      $ [        U 4S j[	        5        5       5      (       a  [        SS5      $ U(       a  [        T 5      (       a  [        SS5      $ [        (       a]  [        (       aR  [        [        R                  T 5      5      (       a/  [        [        R                  T 5      5      (       d  [        SS5      $ [        (       a  [        R                  R                  R                  (       a]  [         (       aR  [        ["        R                  T 5      5      (       a/  [        [        R                  T 5      5      (       d  [        SS	5      $ [        [$        R                  T 5      5      (       a  [        SS
5      $ [        SS5      $ )zShould skip this file?Tzfilename is NoneFORCE_SKIP_FILESc              3   F   >#    U  H  nTR                  U5      v   M     g 7frV   r   r0  r9   filenames     r>   r1  check_file.<locals>.<genexpr>l  s!     
G+Fa8q!!+F   !Fr  r#  r%  FBCODE_SKIP_TORCHREC_DIRSr9  zinlined by default)rD  r   rH  anyr   is_torch_inline_allowed	is_fbcoder%  r   FBCODE_SKIP_DIRS_REmatch&FBCODE_INLINE_FILES_IN_SKIPPED_DIRS_REr6   _dynamoconfigskip_torchrecrO  FBCODE_SKIP_TORCHREC_DIRS_REr:  )rL  is_inlined_calls   ` r>   
check_filer[  e  s^   $ 233h'H##$ 233

G+D+F
GGG#
 	
 28<<
 	

 		$**8455;AA(KLL
 	
 		MM  ..%%-33H=>>;AA(KLL$ ;<<Lx())$,,%!566r@   c                   d    \ rS rSr% \\   \S'   \\   \S'   \\S'   \\R                     \S'   Sr
g)FunctionInfoi  py_objrR   rL  coder   N)r   r   r   r   r
   objectr   r   r[   CodeTyper   r   r@   r>   r]  r]    s+    V
3-M
5>>
""r@   r]  c                    [        U [        [        [        45      (       aI   U R	                  5       n[        X R                  5       U R                  5       U R                  5       5      nO[        U [        R                  5      (       a#  [        S U R                  U R                  U 5      nOq[        U [        R                  [        R                  45      (       a+  [        X R                   [#        U 5      U R$                  5      nO[        U S [#        U 5      S 5      n['        5       n[)        UR*                  UR,                  UR.                  X5      n[1        U[        [2        45      (       a  [5        SSUR7                  5        35      $ U[8        :X  d   U5       e[5        SSUR7                  5        35      $ ! [
         a    S n GNf = f)NFz%inlined according trace_rules.lookup Tz%skipped according trace_rules.lookup )rZ   r   r   r   get_functionNotImplementedErrorr]  r~   get_filenameget_coder[   ra  co_nameco_filenameFunctionType
MethodTyper   r   __code__rW   lookup_innerr^  rR   rL  
issubclassr   rD  r   r   )r=   rZ  r^  fireasonsrules         r>   check_verboserq    su   "$68RS 	%%'F &,,.#2B2B2DcllnU	C	(	($S__cB	C%,,e.>.>?	@	@ws|S\\
 #tWS\48 G		277BKKRD$-/IJKK3GKKM?C
 	

 ++1T1+3GKKM?C
 	
- # 	F	s   F9 9G	G	c                 ,    [        X5      R                  $ rV   )rq  rE  )r=   rZ  s     r>   checkrs    s    .666r@   c                 >   ^  [        U 4S j[        5        5       5      $ )Nc              3   F   >#    U  H  nTR                  U5      v   M     g 7frV   rJ  rK  s     r>   r1  *is_torch_inline_allowed.<locals>.<genexpr>  s!     D/C!x""1%%/CrN  )rP  r$  rL  s   `r>   rQ  rQ    s    D/A/CDDDr@   c                  4    SS K n [        U R                  5      $ )Nr   )torch._dynamor5   rV  )r6   s    r>   
dynamo_dirrz    s    u}}%%r@   c                 |    U R                  [        5       5      (       a  gU R                  [        [        5      5      $ r   )r   rz  r5   r6   rw  s    r>   is_torchr|    s.    :<(({5122r@   c                     [        U 5      (       d  g [        U 5      (       a  [        $ [        U 5      (       a  [        $ [        U 5      (       a  [        $ [        U 5      (       a  [        $ g rV   )	r   r   r   r   r   r   r   r   r   ri   s    r>   lookup_callabler~    sU    C==c""##3++c""))3r@   c                     [        U 5      $ rV   )rl  ri   s    r>   lookupr    s    r@   ro  c                     [        U 5      nU(       d  Ub  UR                  S5        g U bJ  [        U 5      (       a  [        $ [        5       R                  U S 5      nUb  Ub  UR                  S5        U$ OUb  Ub  U(       dx  UR                  [        5      (       a%  [        5       R                  US-   [        -   S 5      nO [        5       R                  US-   U-   S 5      nUb  Ub  UR                  S5        U$ U(       aW  US:X  a  Ub  UR                  S5        [        $ US:X  d  U (       a*  U R                  S:X  a  Ub  UR                  S5        [        $ U(       d   US	:X  a  Ub  UR                  S
5        [        $ Uc  [        U 5      n[        X#5      nUb  UR                  UR                  5        UR                  (       a  [        $ [        $ ! [         a    Sn GNf = f)NFzobj is not hashabler?   rM   patched_initzfunc name is patched_init__torch_function__zfunc name is __torch_function____getattr__zCTracing __getattr__ as the top level frame, unsuitable for tracing.)r   	Exceptionr^   rj   r   r?   r}   r   r   r   r   r   r   r[  rF  rE  )r=   rR   rL  is_direct_callro  can_hashrp  skip_results           r>   rl  rl    s   C= KK-.
&s++//%'++C6"45K  
	h2>??899)+//3!>>D *+//30EtLD"45K >!"78''))CLL$88"=>''=  "Y (' 3<X6KK&&'####I  s   G G$#G$c                     [         R                  R                  R                  R	                  5         [         R                  R                  R
                  R	                  5         [         R                  R                  R                  R	                  5         [         R                  R                  R                  R	                  5         [         R                  R                  R                  R	                  5         g rV   )	r6   rV  trace_rulesr?   cache_clearrd   r   r$  rz  r   r@   r>   clear_lru_cacher  j  s    	MM44@@B	MM//;;=	MM77CCE	MM00<<>	MM((446r@   )F)NNTN)_collections_abc_weakrefsetabcr   collections
contextlibr   copyregdataclassesenum	functoolsrF   r   	linecacheloggingmultiprocessingr   r   	posixpathrandomr-  	selectorssignalsystempfile	threadingtokenize	tracebackr[   typingunittestweakrefr   pathlibr   r   r   r   r   r	   r
   r   r   r   r6   torch._inductor.test_operatorstorch.distributedtorch.utils._content_storetorch.utilsr   resume_executionr   utilsr   r   r   r   	variablesr   r   r   r   r   r   r   r   r   r   r?  r   r   ModuleNotFoundErrorTYPE_CHECKINGvariables.baser   manual_torch_name_rule_mapru   fromkeys"torch_c_binding_in_graph_functionsversion_info&torch_non_c_binding_in_graph_functionsr2   	lru_cacher?   rK   r4   rd   rj   rl   r   r   r   r   r   r   r   r   listr   r   r`  r   r   r   r   r   r   r   r   r   r   r   BUILTIN_SKIPLISTTHIRDPARTY_SKIPLISTr   r   r5   r  distributedis_availablerV  rW  skip_fsdp_hooksr^   r#  sortedrW   r   r$  r   r9  extendmapfilterr7  r:  rG   rR  r%  r8  r.  rS  rO  rY  #FBCODE_INLINE_FILES_IN_SKIPPED_DIRSrU  rH  r;  	dataclassrD  r[  r]  rq  rs  _namerQ  rz  r|  r~  r  rl  r  r   r@   r>   <module>r     s2     
               	   	   
         #  N N N  %  ! & ; M M
 
 
 "&HU %	
 
/+Z*|"$@|*,H| %&B| :	|
 8| 6| %&B| '(D| !">| '(D| 78T| AB^| NOk| 89U| AB^|   !=!|" -.J#|$ 01M%|& "#?'|( )*F)|* '(<+|, /-|. +/|< ()==|> #$8?|@ /A|B  4C|D ()=E|F #$8G|H /I|J  4K|N -O|R ./CS|T 6U|V 3W|X %&:Y|Z >?[[|\ -.B]|^ -.B_|b 1c|d 3e|f 1g|h 1i|j 1k|l 2m|n 1o|p 1q|r 0s|t *+?u|v 1w|x 6y|z 1{||  !=}|~ *+?|@ *+?A|B /C|D 3E|F $%9G|H 34HI|J 0K|L #$8M|N *+?O|P &';Q|R ()=S|T $%9U|V &';W|X &';Y|Z ()=[|\ &';]|^ ()=_|` ,a|b 3c|d  <e|h /0Di|j ABVk|l 23Gm|n *+?o|p 45Iq|r 34Hs|t '(<u|v 34Hw|x 01Ey|z &';{|| 45I}|~ )*>|@ 45IA|B ,-AC|D 9:NE|F ?@TG|H ,-AI|N )*>O|P !"6Q|R +,@S|T &'CU|V )*>W|Z 23O[|\ +,@]|^ 23G_|` @AUa|b ?@Tc|d 78Le|f DEYg|h BCWi|j CDXk|l :;Om|n >?So|r /0Ls|t 9:Nu|v EFZw|x 9:Ny|| ,-I}|~ :;O|@ GH\A|D :;OE|F ,-IG|H 67KI|J 9:NK|L IJ^M|N KL`O|P 12FQ|R 01ES|T *+?U|V ,-AW|Z 23O[|^ /0L_|` FG[a|b 78Lc|f 01Mg|j 78Nk|l /0Lm|p &';q|r *+?s|t )*>u|v )*>w|x '(<y|z 12F{|| &';}|@  4A|B 2C|D !"6E|F ./CG|H )*FI|J ,-IK|L )*FM|N +,HO|P ./KQ|R +,HS|T  !5U|V AB^W|X ()EY|Z %&B[|\  4]|^ 3_|` 333$&:46R46J-.K-LMOcKMaDEbDcdfz;=Q45R4STVjw| @ &*]]cH; !K;f& "R; v5Q&z2w6R&{36R&{3 *.j	V !Ym	* &b &* 
 TS$/@*A%A B  $>


 T 
, ,^ tCH~  
 $sCx.  
 tCH~  . #c(  
 T#s(^  B 	tCH~ 	 	 :ET9J 4T(2t8"4556 J.s .xD/A .d .	 	D 	, ,
/4 /
C C
, ,
, ,/4 /
WT W%4 %1t 1 

		
; D *)5## ) * 	!!##   ==//!!"GH.^ c.!"n4 44^$ 	!!##*+==//@A T  T  $>**+	 
  ^VD#kCS2T%UV Wzz+,##$<=GGI	 !U #c( "jj3sxxBII?O0P'Q&RRS!TU    "zz	#((S9RS
S	TTUV   $' # *,	#((]9\]
]	^^_`* & #5)**?@A S     
(7V # # #D
D7
 !EJ ! E T& &3
 
%)Q$
 4S>"Q$h7Yq  		s   7^; ;__