[docs] Document CUDA profiling gatchas in bottleneck docs #6715
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zou3519
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| not show correct timings: the reported CPU time reports the amount of time | ||
| used to launch the kernels but does not include the time the kernel | ||
| spent executing on a GPU unless the operation does a synchronize. | ||
| In this case, the CUDA-mode autograd profiler may be helpful. |
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| spent executing on a GPU unless the operation does a synchronize. | ||
| In this case, the CUDA-mode autograd profiler may be helpful. | ||
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| .. warning:: |
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| Of course the reality is much more complicated and your script might not be | ||
| in one of those two extremes depending on the part of the model you're | ||
| evaluating. If the profiler outputs don't help, you could try looking at | ||
| the result of :func:`torch.autograd.profiler.emit_nvtx()` with ``nvprof``. |
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Picks up from #5216
cc @apaszke @ssnl