blob: e465b128edbea6e43d4a91e114e2babb29f0dc57 [file] [log] [blame]
# 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),
],
)
def test_bw_detection(self):
mod = torch.nn.Linear(2, 2)
with ModuleTracker() as tracker:
mod(torch.rand(2, requires_grad=True)).sum().backward()
self.assertFalse(tracker.is_bw)
self.assertEqual(tracker.parents, {"Global"})
if __name__ == "__main__":
run_tests()