
    iLu              	       	   U d 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m	Z	m
Z
mZmZmZmZ ddlmZ ddlmZmZmZ dZee   ed<   ej0                  j3                  dd	      d
k(  ZdZdZdZdZdZdZ dZ! ed      Z"e#ed<    ed      Z$e#ed<    ed      Z%e&ed<    ed      Z'e&ed<   dZ(dZ)dZ*ej0                  j3                  dd
      d
k(  Z+dZ,dZ-dZ.ed   ed<   dZ/dZ0dZ1dZ2dZ3dZ4ej0                  j3                  dd	      d
k(  Z5 e6       Z7e6e8e	      ed<    e6       Z9e6e8e	      ed<    e&ej0                  j3                  d d            Z:ej0                  j3                  d!d	      d
k(  Z;dZ<ej0                  j3                  d"d	      d
k(  Z=ej0                  j3                  d#d      Z>i Z?e@e	e	f   ed$<   h d%ZAej0                  j3                  d&d      ZB e#ej0                  j3                  d'd(            ZCej0                  j3                  d)      d
k(  ZDd*ZEej0                  j3                  d+      d
k(  ZFdZGej0                  j3                  d,      d
k(  ZHej0                  j3                  d-d	      d
k(  ZIdZJdZKdZLdZMee&ed.   f   ed/<   ej0                  j3                  d0d	      d
k(  ZNe&ed1<   dZOdZPdZQdZRdZSdZTdZUdZVdZWdZXdZYdZZdZ[dZ\dZ]dZ^dZ_dZ` e       rdndZadZbdZc e e e eed                        ZedZfd2Zgd3Zhd4ZidZjdZk e        ZldZmdZndZo edd56      ZpdZqdZrdZsdZtdZudZvdZwdZxdZydZzdZ{dZ|d7efd8Z} e}       Z~h d9ZdZdZdZdZdZdZ e6       Ze6e
e	gdf      ed:<    e6       Ze6e
d;e	f      ed<<   dZg d=Zg d>Zej0                  j3                  d?d
      d
k(  Zej0                  j3                  d@d	      d
k(  ZdZej0                  j3                  dAd	      d
k(  Zej0                  j3                  dBd	      d
k(  ZdZdZi Ze@ee	f   edC<   ej0                  j3                  dDd	      d
k(  Z edEdFdG      Ze&edH<    edI      Zee&   edJ<   ej0                  j3                  dKd	      d
k(  Zej0                  j3                  dLd      Zee   edM<    eddNdOP      ZdZdZdZdZee	   edQ<   erddRl dSe	d7e	fdTZ eej>                  e          y)Uaq  
Configuration module for TorchDynamo compiler and optimization settings.

This module contains various configuration flags and settings that control TorchDynamo's
behavior, including:
- Runtime behavior flags (e.g., guard settings, specialization options)
- Debugging and development options
- Performance tuning parameters
- Feature toggles for experimental features
    N)abspathdirname)AnyCallableLiteralOptionalTYPE_CHECKINGUnion)	is_fbcode)Configget_tristate_envinstall_config_modulelog_file_nameTORCHDYNAMO_VERBOSE01F   T      z$torch._dynamo.config.recompile_limit)aliascache_size_limitz0torch._dynamo.config.accumulated_recompile_limitaccumulated_cache_size_limitz?torch._dynamo.config.skip_code_recursive_on_recompile_limit_hit&skip_code_recursive_on_cache_limit_hitz0torch._dynamo.config.fail_on_recompile_limit_hitfail_on_cache_limit_hit#TORCH_COMPILE_USE_LAZY_GRAPH_MODULEdynamic)r   unbacked automatic_dynamic_shapes_mark_asTORCHDYNAMO_PREPARE_FREEZINGtraceable_tensor_subclassesnontraceable_tensor_subclassesTORCHDYNAMO_SUPPRESS_ERRORSTORCH_COMPILE_REPLAY_RECORDTORCH_COMPILE_DISABLETORCH_COMPILE_CPROFILE!skipfiles_inline_module_allowlist>   torch._refstorch._primstorch._decomptorch.testingtorch.distributionsTORCHDYNAMO_REPRO_AFTERTORCHDYNAMO_REPRO_LEVEL   TORCHDYNAMO_REPRO_FORWARD_ONLYgMbP?TORCHDYNAMO_REPRO_IGNORE_NON_FP"TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS,TORCHDYNAMO_CAPTURE_DYNAMIC_OUTPUT_SHAPE_OPS)ddp_optimizerpython_reducer'python_reducer_without_compiled_forwardno_optimizationoptimize_ddp(TORCH_DYNAMO_DO_NOT_EMIT_RUNTIME_ASSERTSdo_not_emit_runtime_assertsfloat64
complex128int64z*pytorch/compiler:inline_inbuilt_nn_modules)defaultjustknobreturnc                     d} | t         j                  v r1t         j                  j                  t         j                  |    d      S t	               rEt         j                  j                  t        j                         t        j                         d      S t         j                  j                  t        j                         d      S )NTORCH_COMPILE_DEBUG_DIRtorch_compile_debug)
osenvironpathjoinr   tempfile
gettempdirgetpassgetusergetcwd)DEBUG_DIR_VAR_NAMEs    N/var/www/html/engine/venv/lib/python3.12/site-packages/torch/_dynamo/config.pydefault_debug_dir_rootrN     s    2RZZ'ww||BJJ'9:<QRR	ww||!7??#46K
 	
 ww||BIIK)>??    >   repro_afterrepro_levelconstant_functionsr&   reorderable_logging_functions.ignore_logger_methods)layoutis_negis_conj	is_pinned)stridestorage_offsetis_contiguous TORCH_FAKE_TENSOR_DISPATCH_CACHE+TORCH_FAKE_TENSOR_DISPATCH_CACHE_CROSSCHECKTORCH_CACHING_PRECOMPILETORCH_STRICT_PRECOMPILE!compiled_autograd_kwargs_overrideTORCH_COMPILER_COLLECTIVESz7pytorch/remote_cache:enable_local_automatic_dynamic_pgo(TORCH_DYNAMO_AUTOMATIC_DYNAMIC_LOCAL_PGO)r>   env_name_forcer=   automatic_dynamic_local_pgo)TORCH_DYNAMO_AUTOMATIC_DYNAMIC_REMOTE_PGOautomatic_dynamic_remote_pgoUNSAFE_SKIP_FSDP_MODULE_GUARDSPT2_COMPILE_ID_PREFIXpt2_compile_id_prefixz,pytorch/compiler:enable_run_gc_after_compile!TORCH_DYNAMO_RUN_GC_AFTER_COMPILE)r=   r>   env_name_default_custom_ops_profile)*changesc                       y )N )rn   s    rM   _make_closure_patcherrq     s    rO   )__doc__rI   rC   sysrG   os.pathr   r   typingr   r   r   r   r	   r
   torch._environmentr   torch.utils._config_moduler   r   r   r   str__annotations__rD   getverboseverify_correctnessminimum_call_countdead_code_eliminationrecompile_limitaccumulated_recompile_limit*skip_code_recursive_on_recompile_limit_hitfail_on_recompile_limit_hitr   intr   r   boolr   specialize_intspecialize_floatdynamic_shapesuse_lazy_graph_moduleassume_static_by_defaultautomatic_dynamic_shapesr   log_graph_in_out_metadataforce_parameter_static_shapes&force_nn_module_property_static_shapesallow_ignore_mark_dynamicguard_nn_modules guard_nn_modules_using_dict_tagsprepare_freezingsetr    typer!   suppress_errorsreplay_record_enabled rewrite_assert_with_torch_assertdisablecprofiler&   dict*allowed_functions_module_string_ignorelistrP   rQ   repro_forward_onlyrepro_tolerancerepro_ignore_non_fpsame_two_models_use_fp64capture_scalar_outputs capture_dynamic_output_shape_ops+prefer_deferred_runtime_asserts_over_guards3force_unspec_int_unbacked_size_like_on_torchrec_kjtallow_unspec_int_on_nn_moduler7   r9   skip_torchrecdont_skip_tracingoptimize_ddp_lazy_compile#use_lamba_guard_for_object_aliasingskip_fsdp_guardsskip_fsdp_hooksskip_nnmodule_hook_guards,skip_no_tensor_aliasing_guards_on_parameters*skip_tensor_guards_with_matching_dict_tags%skip_guards_on_constant_func_defaults)assume_dunder_attributes_remain_unchanged"use_recursive_dict_tags_for_guards0max_saved_pointers_for_recursive_dict_tags_checkraise_on_ctx_manager_usageraise_on_unsafe_aot_autograderror_on_nested_jit_traceerror_on_nested_fx_trace	allow_rnncapture_sparse_computeerror_on_recompilereport_guard_failures__file__base_dirtrace_numpynumpy_default_floatnumpy_default_complexnumpy_default_intuse_numpy_random_streamenable_cpp_guard_manager enable_cpp_symbolic_shape_guardsenable_trace_contextlibenable_trace_unittest"enable_faithful_generator_behaviorinline_inbuilt_nn_modulesnested_graph_breaksinstall_free_tensors!enable_cpp_framelocals_guard_evaluse_graph_deduplicationtrack_nodes_for_deduplicationgraph_deduplication_lintissue_3_13_0_warningallow_empty_graphsdebug_force_nested_calls&debug_force_graph_break_on_leaf_returndebug_disable_compile_counter%record_compile_time_instruction_countrN   debug_dir_root_save_config_ignore%cudagraph_backend_keep_input_mutation(cudagraph_backend_support_input_mutationonly_allow_pt2_compliant_opscapture_autograd_functioncapture_func_transformslog_compilation_metricsrS   rT   +inject_BUILD_SET_unimplemented_TESTING_ONLY)_autograd_backward_strict_mode_banned_ops5_autograd_backward_strict_mode_conditional_banned_opsfake_tensor_cache_enabled$fake_tensor_cache_crosscheck_enabled"fake_tensor_disable_inference_modecaching_precompilestrict_precompilecompiled_autogradgraph_break_on_nn_param_ctorr`   enable_compiler_collectivesrd   rf   _unsafe_skip_fsdp_module_guardsri   run_gc_after_compilewrap_top_framerecord_runtime_overheadenable_aot_compilerl   torch.utils._config_typingrq   modules__name__rp   rO   rM   <module>r      s,  	  	 
  $ I I ( V V  $x} # **...
4
;        "  .2 * $ %KL # L$*
<% c 
 06
K0 &  !'
<!   
    JJNN8#>#E        DM  '*?"@ L "  !% 
 *. & "    $(  
 ::>>"@#F#M  /2e Sc^ 3 25 DI 6 rzz~~&CUKL
 

'DcJcQ  $(   **..0#
6#
= ::>>2E: 57 !4S> 6. * jjnn6= "**..!:A>? ZZ^^$DEL 
  jjnn%FG3N    
 (LMQTT  JJNNA3G3N !
 /4 + 7< 3 !& 4 	 e	 	  JJNN=sCsJ T 
    "  '+ #   
 !  04 , .2 * )- %& -1 ) &* " 47 0 "   %  !     	 #,+4 
     7778#4567    $         (1{?       &* " #9   
   %) !    !&  ! 
     !  */ &
 !&  ). %
@ 
@ ()  ). % ,1 (  %  !      =@E s8SE4K#89 A 25 s8CH-. 6 /4 +- )9 5 JJNN5s;sB  JJNN@#F#M % &* " ZZ^^$>DK JJNN#<cBcI     $  57 !4S> 6 !jjnn-I3OSVV . %+F=% T  0@/0 htn  JJNN3S9S@  
 (*zz~~6Mt'T x} T ;8      &* Xc] ),999 ckk(+ ,rO   