diff --git a/aten/src/ATen/core/jit_type.h b/aten/src/ATen/core/jit_type.h
index c3c550a5b4a..b6202151bc6 100644
--- a/aten/src/ATen/core/jit_type.h
+++ b/aten/src/ATen/core/jit_type.h
@@ -1499,6 +1499,8 @@ inline TypePtr TensorType::fromNumberType(TypePtr typ) {
     return TensorType::createContiguous(at::kDouble, at::kCPU, {});
   } else if (typ->isSubtypeOf(BoolType::get())) {
     return TensorType::createContiguous(at::kBool, at::kCPU, {});
+  } else if (typ->kind() == NumberType::Kind) {
+    return TensorType::create(c10::nullopt, at::kCPU, {}, c10::nullopt);
   }
   TORCH_CHECK(false, "Unknown number type: ", typ->str());
 }
diff --git a/test/onnx/test_pytorch_onnx_onnxruntime.py b/test/onnx/test_pytorch_onnx_onnxruntime.py
index 610c7fc464a..8f8a38dcf1b 100644
--- a/test/onnx/test_pytorch_onnx_onnxruntime.py
+++ b/test/onnx/test_pytorch_onnx_onnxruntime.py
@@ -4263,6 +4263,16 @@ class TestONNXRuntime(unittest.TestCase):
         ind = torch.tensor(-2, dtype=torch.long)
         self.run_test(GetItemModel(), (x, y, z, ind))
 
+    def test_item(self):
+        class M(torch.nn.Module):
+            def forward(self, x, y, i: int):
+                return int(x[y[i]].item())
+
+        x = torch.arange(6, dtype=torch.float)
+        y = torch.tensor([0, 1, 2, 3, 4], dtype=torch.long)
+        i = 3
+        self.run_test(torch.jit.script(M()), (x, y, i))
+
     @disableScriptTest()  # torch.nonzero(x, as_tuple=True) is not scriptable.
     @skipIfUnsupportedMinOpsetVersion(9)
     def test_nonzero(self):
diff --git a/torch/onnx/symbolic_opset9.py b/torch/onnx/symbolic_opset9.py
index 522367c2c41..d59d46e2727 100644
--- a/torch/onnx/symbolic_opset9.py
+++ b/torch/onnx/symbolic_opset9.py
@@ -2945,6 +2945,10 @@ def __getitem_(g, self, i):
     return select(g, self, g.op("Constant", value_t=torch.tensor([0])), i)
 
 
+def item(g, self):
+    return self
+
+
 def take(g, self, index):
     self_flattened = g.op('Reshape', self, g.op("Constant", value_t=torch.tensor([-1], dtype=torch.int64)))
     out = index_select(g, self_flattened, 0, index)