diff --git a/cpp/BUILD b/cpp/BUILD
index ebaa458144..30619cda92 100644
--- a/cpp/BUILD
+++ b/cpp/BUILD
@@ -172,6 +172,25 @@ cc_library(
     }),
 )
 
+# Registration only, for the same reason as the allocator above: the kernel
+# registry aborts when the same kernel is registered twice, so this cannot ride
+# along with the backend. Executables that run a TensorRT delegated program
+# depend on this directly.
+#
+# Not part of :executorch_backend_source_files. The CMake build of the reference
+# runner links executorch::kernels, which already registers these.
+cc_library(
+    name = "tensorrt_executorch_device_copy_kernels",
+    srcs = [
+        "src/torch_tensorrt/executorch/RegisterDeviceCopyKernels.cpp",
+    ],
+    alwayslink = True,
+    deps = [
+        "@executorch//:executorch_device_copy_kernels",
+        "@executorch//:executorch_headers",
+    ],
+)
+
 cc_library(
     name = "tensorrt_executorch_backend",
     srcs = [
diff --git a/cpp/src/torch_tensorrt/executorch/RegisterDeviceCopyKernels.cpp b/cpp/src/torch_tensorrt/executorch/RegisterDeviceCopyKernels.cpp
new file mode 100644
index 0000000000..5f8284e63f
--- /dev/null
+++ b/cpp/src/torch_tensorrt/executorch/RegisterDeviceCopyKernels.cpp
@@ -0,0 +1,32 @@
+#include <executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h>
+
+namespace torch {
+namespace executor {
+namespace native {
+
+using executorch::aten::Tensor;
+using executorch::runtime::KernelRuntimeContext;
+
+// ExecuTorch publishes no header for its portable kernel sources, and the
+// Bazel target that owns this file compiles op__device_copy.cpp straight from
+// the pinned tree, so the two entry points are declared here.
+Tensor& _h2d_copy_out(KernelRuntimeContext& ctx, const Tensor& self, Tensor& out);
+Tensor& _d2h_copy_out(KernelRuntimeContext& ctx, const Tensor& self, Tensor& out);
+
+} // namespace native
+} // namespace executor
+} // namespace torch
+
+// A program delegated to TensorRT still runs two ops outside the delegate: the
+// host to device copy of its inputs and the device to host copy of its outputs,
+// which the device placement pass inserts at export time. ExecuTorch registers
+// their kernels from a generated kernel library, which this Bazel build does
+// not produce, so a runner linking the core runtime alone fails every
+// load_method with
+//
+//   kernel 'et_copy::_h2d_copy.out' not found.
+//
+// Register those two rather than the whole portable kernel set, which a fully
+// delegated program never calls.
+EXECUTORCH_LIBRARY(et_copy, "_h2d_copy.out", torch::executor::native::_h2d_copy_out);
+EXECUTORCH_LIBRARY(et_copy, "_d2h_copy.out", torch::executor::native::_d2h_copy_out);
diff --git a/examples/executorch_reference_runner/BUILD b/examples/executorch_reference_runner/BUILD
index cccba328ec..5d85db9f5b 100644
--- a/examples/executorch_reference_runner/BUILD
+++ b/examples/executorch_reference_runner/BUILD
@@ -26,6 +26,7 @@ cc_binary(
     deps = [
         "//cpp:tensorrt_executorch_backend",
         "//cpp:tensorrt_executorch_cuda_device_allocator",
+        "//cpp:tensorrt_executorch_device_copy_kernels",
         "@executorch//:executorch_core",
         "@executorch//:executorch_file_data_loader",
         "@executorch//:extension_cuda",
@@ -38,6 +39,7 @@ cc_binary(
     deps = [
         "//cpp:tensorrt_executorch_backend",
         "//cpp:tensorrt_executorch_cuda_device_allocator",
+        "//cpp:tensorrt_executorch_device_copy_kernels",
         "@cuda//:cudart",
         "@executorch//:executorch_core",
         "@executorch//:executorch_file_data_loader",
diff --git a/tests/py/dynamo/conversion/test_cumsum_aten.py b/tests/py/dynamo/conversion/test_cumsum_aten.py
index ab71b4339f..5c2147e281 100644
--- a/tests/py/dynamo/conversion/test_cumsum_aten.py
+++ b/tests/py/dynamo/conversion/test_cumsum_aten.py
@@ -33,9 +33,7 @@ def forward(self, x):
                 )
             return
 
-        self.run_test(
-            Cumsum(), inputs, immutable_weights=False, use_dynamo_tracer=True
-        )
+        self.run_test(Cumsum(), inputs, immutable_weights=False, use_dynamo_tracer=True)
 
     @parameterized.expand(
         [
@@ -108,10 +106,7 @@ def forward(self, x):
             == opt_shape[positive_dim]
             == max_shape[positive_dim]
         )
-        if (
-            has_static_trip_count
-            and not is_tensorrt_rtx_version_supported("1.7")
-        ):
+        if has_static_trip_count and not is_tensorrt_rtx_version_supported("1.7"):
             with self.assertRaises(UnsupportedOperatorException):
                 self.run_test_with_dynamic_shape(
                     Cumsum(),
diff --git a/third_party/executorch/BUILD b/third_party/executorch/BUILD
index 17c6e5f337..98d66cd02b 100644
--- a/third_party/executorch/BUILD
+++ b/third_party/executorch/BUILD
@@ -147,6 +147,21 @@ cc_library(
     ],
 )
 
+# The kernels behind the device copies that an exported program runs around the
+# delegate. In the pinned ExecuTorch release these reach a binary only through
+# the generated kernel library, which this overlay does not build, so compile
+# the two implementations on their own. Registering them is left to
+# //cpp:tensorrt_executorch_device_copy_kernels, because a binary that already
+# gets them from ExecuTorch's own kernel library must not register them twice.
+cc_library(
+    name = "executorch_device_copy_kernels",
+    srcs = ["executorch/kernels/portable/cpu/op__device_copy.cpp"],
+    deps = [
+        ":executorch_core",
+        ":executorch_headers",
+    ],
+)
+
 cc_library(
     name = "executorch_headers",
     hdrs = glob(