Make nonzero non differentiable as it supposed to be (#26980)

Summary:
Fixes: #26038

Somewhere between v1.1 and master `nonzero` become `abstract` and was marked as differentiable (by mistake) we need to but them into TH section of `tools/autograd/derivatives.yaml ` to fix it.
Pull Request resolved: #26980

Differential Revision: D17632276

Pulled By: VitalyFedyunin

fbshipit-source-id: d6cabcc53348af6148cea5a1bd1af2ef12547373

test/test_torch.py

@@ -11638,6 +11638,11 @@ def gen_nontrivial_input(num_src, dtype, device):
                         for i in range(len(t)):
                             self.assertEqual(t[i].cpu().numpy(), np1[i])
 
+    def test_nonzero_non_diff(self, device):
+        x = torch.randn(10, requires_grad=True)
+        nz = x.nonzero()
+        self.assertFalse(nz.requires_grad)
+
     def test_pdist_norm(self, device):
         def test_pdist_single(shape, device, p, dtype, trans):
             x = torch.randn(shape, dtype=dtype, device=device)

tools/autograd/derivatives.yaml

@@ -1575,3 +1575,6 @@
 
 - name: multinomial(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor
   output_differentiability: [False]
+
+- name: nonzero(Tensor self) -> Tensor
+  output_differentiability: [False]