diff --git a/aten/src/ATen/DLConvertor.cpp b/aten/src/ATen/DLConvertor.cpp
index 0c844003eb1..64a8d091049 100644
--- a/aten/src/ATen/DLConvertor.cpp
+++ b/aten/src/ATen/DLConvertor.cpp
@@ -121,6 +121,9 @@ static DLDevice getDLDevice(const Tensor& tensor, c10::DeviceIndex device_id) {
     case DeviceType::MAIA:
       ctx.device_type = DLDeviceType::kDLMAIA;
       break;
+    case DeviceType::PrivateUse1:
+      ctx.device_type = DLDeviceType::kDLExtDev;
+      break;
     default:
       TORCH_CHECK(false, "Cannot pack tensors on " + tensor.device().str());
   }
@@ -149,6 +152,8 @@ static Device getATenDevice(const DLDevice& ctx, void* data) {
       return at::detail::getXPUHooks().getDeviceFromPtr(data);
     case DLDeviceType::kDLMAIA:
       return at::Device(DeviceType::MAIA, static_cast<c10::DeviceIndex>(ctx.device_id));
+    case DLDeviceType::kDLExtDev:
+      return at::Device(DeviceType::PrivateUse1, static_cast<c10::DeviceIndex>(ctx.device_id));
     default:
       TORCH_CHECK(
           false, "Unsupported device_type: ", std::to_string(ctx.device_type));
@@ -287,7 +292,7 @@ DLManagedTensor* toDLPack(const Tensor& src) {
   atDLMTensor->tensor.deleter = &deleter;
   atDLMTensor->tensor.dl_tensor.data = view.data_ptr();
   c10::DeviceIndex device_id = 0;
-  if (src.is_cuda()) {
+  if (src.is_cuda() || src.is_privateuseone()) {
     device_id = src.get_device();
   }
   atDLMTensor->tensor.dl_tensor.device = getDLDevice(src, device_id);
diff --git a/test/test_cpp_extensions_open_device_registration.py b/test/test_cpp_extensions_open_device_registration.py
index 2cf69211b40..ba90aad46fe 100644
--- a/test/test_cpp_extensions_open_device_registration.py
+++ b/test/test_cpp_extensions_open_device_registration.py
@@ -644,6 +644,15 @@ class TestCppExtensionOpenRgistration(common.TestCase):
                     with torch.serialization.skip_data():
                         torch.save(sd, f)
 
+    def test_open_device_dlpack(self):
+        t = torch.randn(2, 3).to("foo")
+        capsule = torch.utils.dlpack.to_dlpack(t)
+        t1 = torch.from_dlpack(capsule)
+        self.assertTrue(t1.device == t.device)
+        t = t.to("cpu")
+        t1 = t1.to("cpu")
+        self.assertEqual(t, t1)
+
 
 if __name__ == "__main__":
     common.run_tests()
diff --git a/torch/_tensor.py b/torch/_tensor.py
index 0ee0a6cd282..18c309ec876 100644
--- a/torch/_tensor.py
+++ b/torch/_tensor.py
@@ -1637,6 +1637,8 @@ class Tensor(torch._C.TensorBase):
             device_type = DLDeviceType.kDLCPU
         elif self.device.type == "xpu":
             device_type = DLDeviceType.kDLOneAPI
+        elif self.device.type == "privateuse1":
+            device_type = DLDeviceType.kDLExtDev
         else:
             raise ValueError(f"Unknown device type {torch_device_type} for Dlpack")
         return (device_type, idx)