diff --git a/aten/src/ATen/native/Checkpoint.cpp b/aten/src/ATen/native/Checkpoint.cpp
index 184dcfcb813..be787fefa4c 100644
--- a/aten/src/ATen/native/Checkpoint.cpp
+++ b/aten/src/ATen/native/Checkpoint.cpp
@@ -1249,6 +1249,29 @@ checkpoint_layer_norm_backward(const Tensor& grad_out, const Tensor& input, cons
   return {ret[0], ret[1], ret[2]};
 }
 
+std::tuple<Tensor, Tensor>
+checkpoint_topk(const Tensor& self, long k, long dim, bool largest, bool sorted) {
+  rematerialize_function_t rt =
+    [=](const Tensors& vec) -> Tensors {
+    auto ret = at::topk(vec.at(0), k, dim, largest, sorted);
+    return {std::get<0>(ret), std::get<1>(ret)};
+  };
+  auto ret = CheckpointTensorImpl::make("topk", rt, {self});
+  return {ret[0], ret[1]};
+}
+
+std::tuple<Tensor&, Tensor&>
+checkpoint_topk_values(Tensor& values, Tensor& indices, const Tensor& self, long k, long dim, bool largest, bool sorted) {
+  mutate_function_t mt =
+    [=](const Tensors& vec) {
+    Tensor values_ = vec.at(0);
+    Tensor indices_ = vec.at(1);
+    at::topk_out(values_, indices_, vec.at(2), k, dim, largest, sorted);
+  };
+  CheckpointTensorImpl::mutate("topk_values", mt, {values, indices, self}, {0, 1});
+  return {values, indices};
+}
+
 bool checkpoint_equal(const Tensor& self, const Tensor& other) {
   // there can't possibly be a reason to rematerialize
   // a single bool so we'll just compute it now
diff --git a/aten/src/ATen/native/native_functions.yaml b/aten/src/ATen/native/native_functions.yaml
index 89013ef1a94..90032615686 100644
--- a/aten/src/ATen/native/native_functions.yaml
+++ b/aten/src/ATen/native/native_functions.yaml
@@ -5343,6 +5343,7 @@
   dispatch:
     CPU: topk_out_cpu
     CUDA: legacy::cuda::_th_topk_out
+    Checkpoint: checkpoint_topk_values
 
 - func: topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
   variants: method, function
@@ -5350,6 +5351,7 @@
     CPU: topk
     CUDA: topk
     QuantizedCPU: quantized_topk_cpu
+    Checkpoint: checkpoint_topk
 
 - func: all(Tensor self) -> Tensor
   use_c10_dispatcher: full