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Looking at the given profiler status:
Profiler Report
Action | Mean duration (s) |Num calls | Total time (s) | Percentage % |
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Total | - |_ | 5.5595e+04 | 100 % |
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run_training_epoch | 1.0899e+04 |5 | 5.4494e+04 | 98.02 |
run_training_batch | 1.2468 |40031 | 4.9912e+04 | 89.777 |
training_step_and_backward | 1.2069 |40031 | 4.8313e+04 | 86.902 |
model_forward | 0.67271 |40031 | 2.6929e+04 | 48.438 |
optimizer_step_and_closure_0 | 1.3005 |20015 | 2.603e+04 | 46.82 |
model_backward | 0.53271 |40031 | 2.1325e+04 | 38.357 |
evaluation_step_and_end | 0.29524 |10626 | 3137.2 | 5.6429 |
on_validation_epoch_end | 328.91 |6 | 1973.4 | 3.5496 |
on_train_start | 1006.1 |1 | 1006.1 | 1.8098 |
on_train_batch_end | 0.0038002 |40030 | 152.12 | 0.27362 |
get_train_batch | 0.0032787 |40031 | 131.25 | 0.23608 |
on_validation_end | 12.656 |6 | 75.933 | 0.13658 |
We see that the Percentage column doesn't sum to 100, and indeed, model_forward in contained inside each run_training_batch thus its time is partial to run_training_batch time.
But what about model_backward? is it contained inside model_forward? I assume no, but it there is the ability to see the profiler in a "graph" like structure, where you can understand what operations are "leaf" nodes, or part-of some other operation, it will really ease up the analysis.
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