diff --git a/generative_recommenders/ops/cpp/complete_cumsum.cpp b/generative_recommenders/ops/cpp/complete_cumsum.cpp
new file mode 100644
index 0000000..ae614cf
--- /dev/null
+++ b/generative_recommenders/ops/cpp/complete_cumsum.cpp
@@ -0,0 +1,44 @@
+/* Copyright (c) Meta Platforms, Inc. and affiliates.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <ATen/ATen.h>
+#include <ATen/core/op_registration/op_registration.h>
+#include <c10/cuda/CUDAGuard.h>
+#include <torch/extension.h>
+
+#include "fbgemm_gpu/sparse_ops.h" // @manual
+
+namespace gr {
+
+at::Tensor complete_cumsum_cpu(const at::Tensor& values) {
+  TORCH_CHECK(values.dim() == 1);
+  auto len = values.size(0);
+  const torch::Tensor index = at::range(0, len, at::kLong).cpu();
+  auto output = fbgemm_gpu::asynchronous_complete_cumsum_cpu(values);
+  return output;
+}
+
+at::Tensor complete_cumsum_meta(const at::Tensor& values) {
+  auto len = values.sym_size(0);
+  auto output = at::native::empty_meta_symint(
+      {len + 1},
+      /*dtype=*/::std::make_optional(values.scalar_type()),
+      /*layout=*/::std::make_optional(values.layout()),
+      /*device=*/::std::make_optional(c10::Device(c10::kMeta)),
+      /*pin_memory=*/::std::nullopt);
+  return output;
+}
+
+} // namespace gr
diff --git a/generative_recommenders/ops/cpp/cpp_ops.cpp b/generative_recommenders/ops/cpp/cpp_ops.cpp
index 35845de..2bc43f3 100644
--- a/generative_recommenders/ops/cpp/cpp_ops.cpp
+++ b/generative_recommenders/ops/cpp/cpp_ops.cpp
@@ -44,8 +44,12 @@ at::Tensor batched_complete_cumsum_cuda(const at::Tensor& values);
 
 at::Tensor batched_complete_cumsum_meta(const at::Tensor& values);
 
+at::Tensor complete_cumsum_cpu(const at::Tensor& values);
+
 at::Tensor complete_cumsum_cuda(const at::Tensor& values);
 
+at::Tensor complete_cumsum_meta(const at::Tensor& values);
+
 at::Tensor concat_1d_jagged_jagged_cpu(
     const at::Tensor& lengths_left,
     const at::Tensor& values_left,
@@ -78,6 +82,7 @@ TORCH_LIBRARY_IMPL(gr, CPU, m) {
   m.impl("expand_1d_jagged_to_dense", gr::expand_1d_jagged_to_dense_cpu);
   m.impl("batched_complete_cumsum", gr::batched_complete_cumsum_cpu);
   m.impl("concat_1d_jagged_jagged", gr::concat_1d_jagged_jagged_cpu);
+  m.impl("complete_cumsum", gr::complete_cumsum_cpu);
 }
 
 TORCH_LIBRARY_IMPL(gr, CUDA, m) {
@@ -91,6 +96,7 @@ TORCH_LIBRARY_IMPL(gr, Meta, m) {
   m.impl("expand_1d_jagged_to_dense", gr::expand_1d_jagged_to_dense_meta);
   m.impl("batched_complete_cumsum", gr::batched_complete_cumsum_meta);
   m.impl("concat_1d_jagged_jagged", gr::concat_1d_jagged_jagged_meta);
+  m.impl("complete_cumsum", gr::complete_cumsum_meta);
 }
 
 TORCH_LIBRARY_IMPL(gr, Autograd, m) {