_nested_tensor -> nested_tensor (#637)

Author: Samantha Andow

functorch/csrc/VmapGeneratedPlumbing.h

@@ -25019,13 +25019,13 @@ ::std::vector<at::Tensor> unflatten_dense_tensors_generated_plumbing(const at::T
   return makeBatchedVector(std::get<0>(results), std::get<1>(results), cur_level);
 }
 template <typename batch_rule_t, batch_rule_t batch_rule>
-at::Tensor _nested_tensor_generated_plumbing(at::TensorList list, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
+at::Tensor nested_tensor_generated_plumbing(at::TensorList list, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
   c10::impl::ExcludeDispatchKeyGuard guard(kBatchedKey);
   auto maybe_layer = maybeCurrentDynamicLayer();
   TORCH_INTERNAL_ASSERT(maybe_layer.has_value());
   int64_t cur_level = maybe_layer->layerId();
   if (!isBatchedAtLevel(list, cur_level)) {
-    return at::_ops::_nested_tensor::call(list, dtype, layout, device, pin_memory);
+    return at::_ops::nested_tensor::call(list, dtype, layout, device, pin_memory);
   }
 
   auto results = batch_rule(list, dtype, layout, device, pin_memory);