Files
pytorch/test/test_module_tracker.py
albanD 76a26a885d Add module tracker (#125352)
This does a few things that were originally a few PRs but I am on a new machine and don't have ghstack.
If it is too problematic to review, I can re-split, just let me know.
This does:
- Cleanup context manager use in test_flop_counter
- Remove need for mod argument in FlopCounterMode, warning about it
- Re-implement a Module tracker from scratch using global forward Module use and multi_grad_hook (we cannot use global backward Module hook because they don't look for nested Tensor and they're custom Function based instead of multi_grad_hook).
- Update FlopCouterMode to use the new ModuleTracker. All the existing test suite passes as-is (only changes there are new tests and refactoring mentioned above)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/125352
Approved by: https://github.com/mikaylagawarecki
2024-05-04 18:33:35 +00:00

66 lines
1.8 KiB
Python

# Owner(s): ["module: unknown"]
from copy import copy
import torch
from torch.testing._internal.common_utils import run_tests, TestCase
from torch.utils.module_tracker import ModuleTracker
class TestModuleTracker(TestCase):
def test_module_hierarchy(self):
seen_fw = []
seen_bw = []
class Foo(torch.nn.Module):
def forward(self, x):
x = x["a"].relu_()
seen_fw.append((copy(tracker.parents), tracker.is_bw))
x.register_hook(
lambda grad: seen_bw.append((copy(tracker.parents), tracker.is_bw))
)
return {"a": torch.mm(x, x)}
class Mod(torch.nn.Module):
def __init__(self):
super().__init__()
self.a = Foo()
self.b = Foo()
def forward(self, x):
return self.b(self.a(x))
mod = Mod()
with ModuleTracker() as tracker:
mod({"a": torch.randn(10, 10, requires_grad=True).clone()})[
"a"
].sum().backward()
mod({"a": torch.randn(10, 10, requires_grad=True).clone()})[
"a"
].sum().backward()
self.assertEqual(
seen_fw,
[
({"Global", "Mod", "Mod.a"}, False),
({"Global", "Mod", "Mod.b"}, False),
({"Global", "Mod", "Mod.a"}, False),
({"Global", "Mod", "Mod.b"}, False),
],
)
self.assertEqual(
seen_bw,
[
({"Global", "Mod", "Mod.b"}, True),
({"Global", "Mod", "Mod.a"}, True),
({"Global", "Mod", "Mod.b"}, True),
({"Global", "Mod", "Mod.a"}, True),
],
)
if __name__ == "__main__":
run_tests()