Do you support profile and print the corresponding memory usage of each line while training?

[GoingMyWay]

Like https://pypi.org/project/memory-profiler/

Do you support profile and print the corresponding memory usage of each line while training?

[Stonesjtu]

Do you mean the profiling CPU memory at the same time?

[GoingMyWay]

Do you mean the profiling CPU memory at the same time?

No. I mean like https://pypi.org/project/memory-profiler/, it can print the memory usage while running like this

Line #    Mem usage  Increment   Line Contents
==============================================
     3                           @profile
     4      5.97 MB    0.00 MB   def my_func():
     5     13.61 MB    7.64 MB       a = [1] * (10 ** 6)
     6    166.20 MB  152.59 MB       b = [2] * (2 * 10 ** 7)
     7     13.61 MB -152.59 MB       del b
     8     13.61 MB    0.00 MB       return a

And, will you support this function and print the GPU memory usage like this? I think it can much easier to detect which function or which line of the code cost GPU memory usage.

[Stonesjtu]

I think https://github.com/Stonesjtu/pytorch_memlab#memory-profiler is what you are looking for.

[GoingMyWay]

I think https://github.com/Stonesjtu/pytorch_memlab#memory-profiler is what you are looking for.

Thanks. Does it support adding a property over a function to use it?

[Stonesjtu]

Sure it does, just like the other line-by-line profiling tools.

You can refer to the memory-profiler part for full documentation.

 class Net(torch.nn.Module):
    def __init__(self):
        super().__init__()
    @profile
    def forward(self, inp):
        #do_something

[Stonesjtu]

Closed as this feature is already implemented. Feel free to reopen if needed.