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diff --git a/neuralnetworks/aidl/utils/src/Utils.cpp b/neuralnetworks/aidl/utils/src/Utils.cpp
new file mode 100644
index 0000000000..8d00e5926a
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Utils.cpp
@@ -0,0 +1,95 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * 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 "Utils.h"
+
+#include <nnapi/Result.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+using ::android::nn::GeneralResult;
+
+template <typename Type>
+nn::GeneralResult<std::vector<Type>> cloneVec(const std::vector<Type>& arguments) {
+    std::vector<Type> clonedObjects;
+    clonedObjects.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        clonedObjects.push_back(NN_TRY(clone(argument)));
+    }
+    return clonedObjects;
+}
+
+template <typename Type>
+GeneralResult<std::vector<Type>> clone(const std::vector<Type>& arguments) {
+    return cloneVec(arguments);
+}
+
+}  // namespace
+
+GeneralResult<Memory> clone(const Memory& memory) {
+    common::NativeHandle nativeHandle;
+    nativeHandle.ints = memory.handle.ints;
+    nativeHandle.fds.reserve(memory.handle.fds.size());
+    for (const auto& fd : memory.handle.fds) {
+        const int newFd = dup(fd.get());
+        if (newFd < 0) {
+            return NN_ERROR() << "Couldn't dup a file descriptor";
+        }
+        nativeHandle.fds.emplace_back(newFd);
+    }
+    return Memory{
+            .handle = std::move(nativeHandle),
+            .size = memory.size,
+            .name = memory.name,
+    };
+}
+
+GeneralResult<RequestMemoryPool> clone(const RequestMemoryPool& requestPool) {
+    using Tag = RequestMemoryPool::Tag;
+    switch (requestPool.getTag()) {
+        case Tag::pool:
+            return RequestMemoryPool::make<Tag::pool>(NN_TRY(clone(requestPool.get<Tag::pool>())));
+        case Tag::token:
+            return RequestMemoryPool::make<Tag::token>(requestPool.get<Tag::token>());
+    }
+    // Using explicit type conversion because std::variant inside the RequestMemoryPool confuses the
+    // compiler.
+    return (NN_ERROR() << "Unrecognized request pool tag: " << requestPool.getTag())
+            .
+            operator GeneralResult<RequestMemoryPool>();
+}
+
+GeneralResult<Request> clone(const Request& request) {
+    return Request{
+            .inputs = request.inputs,
+            .outputs = request.outputs,
+            .pools = NN_TRY(clone(request.pools)),
+    };
+}
+
+GeneralResult<Model> clone(const Model& model) {
+    return Model{
+            .main = model.main,
+            .referenced = model.referenced,
+            .operandValues = model.operandValues,
+            .pools = NN_TRY(clone(model.pools)),
+            .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
+            .extensionNameToPrefix = model.extensionNameToPrefix,
+    };
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils