+ j%0^RIHtHt.ROt.ROt]!RRR.4]!RR4]!RR .]O4]!R R .4]!R R R.4]!RR4]!RRR.4]!RR4]!RR4]!R]4]!RR4]!R]4]!RRR.4]!RRR.4]!RR .4]!R!R"R#.4]!R$R%R&.4]!R'R(4]!R)R*4]!R+R,R-R.7]!R/.RO]OR0NR1NR2NR3N4]!R4R5R-R67]!R7R8R-R.7]!R9R:R-R.7]!R;R<4]!R=R>4]!R?R@4]!RARB4]!RCRD4]!RERF4]!RGRH4]!RIRJR-R67]!RKRL4]!RMRNR-R67]!RORP4]!RQRR4]!RSRTR-R.7]!RURVR-R.7]!RWRXR-R67]!RYRZR-R.7]!R[R\4]!R]R^R-R67]!R_R`R-R-Ra7]!RbRcR-R67]!RdReR-R67]!RfRg4]!RhRiR-R-Rj7]!RkRlR-R-Rj7]!RmRnR-R.7]!RoR8R-R.7]!RpR8R-R.7]!RqR8R-R.7]!RrRsR-R.7]!RtRuR-R.7]!RvRuR-R.7]!RwRxR-R.7]!RyRzR-R.7]!R{R|R-R.7]!R}R~R-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR-R.7]!RRR8R7]!RRR-R.7R#))register_artifact register_log"torch._dynamo.backends.distributedtorch.nn.parallel.distributed async_compileztorch._inductor.async_compilez3torch._inductor.compile_worker.tracked_process_poolcachedynamo torch._dynamo fake_tensorztorch._subclasses.fake_tensoraotztorch._functorch.aot_autogradztorch._functorch._aot_autogradautogradztorch.autogradinductorztorch._inductorztorch._inductor.cudagraph_trees flex_gemmz&torch._inductor.kernel.flex_gemm.debug cudagraphszGLogs information from wrapping inductor generated code with cudagraphs.dynamictorch distributedc10dz"torch.distributed.distributed_c10dztorch.distributed.rendezvousddpppztorch.distributed.pipeliningfsdpztorch.distributed.fsdpz"torch.distributed._composable.fsdpdtensorztorch.distributed._tensorztorch.distributed.tensoronnxz torch.onnx native_dslz torch._nativenative_dsl_compilezEmits a log line and a tlparse record per torch._native DSL compile-cache call (compiles and cache hits). 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Useful to understand what's being given to Inductor after post grad passes ir_pre_fusionz,Prints the IR before inductor fusion passes.ir_post_fusionz+Prints the IR after inductor fusion passes.compiled_autogradzzPrints various logs in compiled_autograd, including but not limited to the graphs. Useful for debugging compiled_autograd.compiled_autograd_verbosezjWill affect performance. Prints compiled_autograd logs with C++ info e.g. autograd node -> fx node mapping ddp_graphszOnly relevant for compiling DDP. DDP splits into multiple graphs to trigger comms early. This will print each individual graph here. recompilesz?Prints the reason why we recompiled a graph. Very, very useful.recompiles_verbosezPrints all guard checks that fail during a recompilation. At runtime, Dynamo will stop at the first failed check for each failing guard. So not all logged failing checks are actually ran by Dynamo.)rr graph_breakszPrints whenever Dynamo decides that it needs to graph break (i.e. create a new graph). Useful for debugging why torch.compile has poor performance side_effectszPrints all side effects that Dynamo codegenerates, including mutations to variables, attributes, cells, and globals. Useful for debugging side effect handlingnot_implementedzPrints log messages whenever we return NotImplemented in a multi-dispatch, letting you trace through each object we attempted to dispatch to output_codez>Prints the code that Inductor generates (either Triton or C++))rr kernel_codez?Prints the code that Inductor generates (on a per-kernel basis)schedulezIInductor scheduler information. Useful if working on Inductor fusion algo perf_hintsonnx_diagnosticscompute_dependenciesfusionzADetailed Inductor fusion decisions. More detailed than 'schedule' loop_orderingzLogs related to loop ordering loop_tiling auto_chunkerz Logs related to the auto chunkeroverlapz0Detailed Inductor compute/comm overlap decisionsoverlap_schedulingz5Detailed Inductor overlap scheduling pass informationpartitioned_scatterzAInductor partitioned scatter pass decisions and memory accountingsym_nodez.Logs extra info for various SymNode operationstrace_shape_eventszBLogs traces for every ShapeEnv operation that we record for replaycudagraph_static_inputsz:Logs static inputs handling in dynamo, AOT, and cudagraphs benchmarkingz+Detailed Inductor benchmarking information. incrementalzIncremental autotuning logs.node_runtime_estimationz@Node runtime estimation for compile-time optimization decisions. autotuningzKAutotuning choice logs, such as kernel source, perf, and tuning parameters.autotuning_inputszGPer-kernel input tensor shapes/dtypes/strides logged during autotuning.graph_region_expansionzMLogs detailed steps of the duplicate graph region tracker expansion algorithminductor_metricszGLogs Inductor metrics, such as num_bytes, nodes_num_elem, node_runtimeshierarchical_compilez,Logs debug info for hierarchical compilation annotationz=Logs detailed steps of the creating annotation on graph nodescustom_format_test_artifactz Testing only) log_formatcachingz&Detailed Inductor caching information.N)z%torch.fx.experimental.symbolic_shapesztorch.fx.experimental.sym_nodeztorch.fx.experimental.recording)ztorch.distributedrr)ztorch._inductor.remote_cacheztorch._inductor.fb.remote_cache)r z torch.exportztorch.export.dynamic_shapes) _internalrrDYNAMIC DISTRIBUTED^/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/_logging/_registrations.pyr[sN6    '=  P X2'23 ]<=> U46VWX Z)* Z+-NOP [BCM  Y Wg ]K(  13Q R  +-Q R T234 V.0TUV Y46PQR V\" \?+N        "  )  (  -   n  "Bt<B  |, VWRJFnIQ  eq  BD2 1 A  p KE  C  Y  e  SD   E   O ,48$b>("TB G # # &  6 ; G 4 H @ 1 " F Q M S M 2 C /BO ,rY