Last active
January 23, 2025 22:59
-
-
Save Chillee/07b36672a0ca2d1280e42b8d10f23174 to your computer and use it in GitHub Desktop.
Compute Flop Utilization in PyTorch
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import torch | |
from torch.utils.flop_counter import FlopCounterMode | |
from triton.testing import do_bench | |
def get_flops_achieved(f): | |
flop_counter = FlopCounterMode(display=False) | |
with flop_counter: | |
f() | |
total_flops = flop_counter.get_total_flops() | |
ms_per_iter = do_bench(f) | |
iters_per_second = 1e3/ms_per_iter | |
print(f"{iters_per_second * total_flops / 1e12} TF/s") | |
from torchvision.models import resnet18 | |
model = resnet18().cuda().half() | |
inp = torch.randn(128, 3, 224, 224, device='cuda', dtype=torch.half) | |
get_flops_achieved(lambda: model(inp).sum().backward()) |
as its docs are missing so we users don't know what is kosher to use it for and what not
I was gonna do it for PyTorch 2.3 release but I didn't end up getting around to it 😭
Yeah please do open an issue :)
Ooops, it looks like I didn't do it - just did here pytorch/pytorch#145555
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
super! Thank you, Horace
Do you want me to open an Issue to document
FlopCounterMode
? as its docs are missing so we users don't know what is kosher to use it for and what not