Added eps in the __repr__ of FrozenBN (#2852)

* feat: Updated FrozenBN eps to align with BatchNorm

* feat: Added eps to __repr__ of FrozenBN

* test: Updated unittest of __repr__ for FrozenBN

* test: Updated unittest for eps value in BN and FrozenBN

* fix: Revert FrozenBN eps value

* test: Revert test on eps alignment between FrozenBN and BN

test/test_ops.py

@@ -607,10 +607,11 @@ def script_func(x_, offset_, weight_, bias_, stride_, pad_, dilation_):
 class FrozenBNTester(unittest.TestCase):
     def test_frozenbatchnorm2d_repr(self):
         num_features = 32
-        t = ops.misc.FrozenBatchNorm2d(num_features)
+        eps = 1e-5
+        t = ops.misc.FrozenBatchNorm2d(num_features, eps=eps)
 
         # Check integrity of object __repr__ attribute
-        expected_string = f"FrozenBatchNorm2d({num_features})"
+        expected_string = f"FrozenBatchNorm2d({num_features}, eps={eps})"
         self.assertEqual(t.__repr__(), expected_string)
 
     def test_frozenbatchnorm2d_eps(self):

torchvision/ops/misc.py

@@ -96,4 +96,4 @@ def forward(self, x: Tensor) -> Tensor:
         return x * scale + bias
 
     def __repr__(self) -> str:
-        return f"{self.__class__.__name__}({self.weight.shape[0]})"
+        return f"{self.__class__.__name__}({self.weight.shape[0]}, eps={self.eps})"