+ j^^RIt^RIHtHt.ROt.ROtRtRt]PR4t R#)N) check_errorcudartcH\\4P44R#)zxStarts cuda profiler data collection. .. warning:: Raises CudaError in case of it is unable to start the profiler. N)rrcudaProfilerStartT/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torch/cuda/profiler.pystartr s **,-rcH\\4P44R#)zvStops cuda profiler data collection. .. warning:: Raises CudaError in case of it is unable to stop the profiler. N)rrcudaProfilerStoprrr stopr s ))+,rc#^"\4Rx\4R# \4i;i5i)aq Enable profiling. Context Manager to enabling profile collection by the active profiling tool from CUDA backend. Example: >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) >>> import torch >>> model = torch.nn.Linear(20, 30).cuda() >>> inputs = torch.randn(128, 20).cuda() >>> with torch.cuda.profiler.profile() as prof: ... model(inputs) N)r r rrr profiler&s   s- - *-)r r r)gpustarttimestampgpuendtimestamp gridsize3dthreadblocksizestreamidzenableonstart 0conckerneltrace) contextlibrr__all__ DEFAULT_FLAGSr r contextmanagerrrrr rs=! ' .- r