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diff --git a/neuralnetworks/aidl/utils/src/Execution.cpp b/neuralnetworks/aidl/utils/src/Execution.cpp
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index 0000000000..2aee8a6713
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+++ b/neuralnetworks/aidl/utils/src/Execution.cpp
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+/*
+ * 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 "Execution.h"
+
+#include "Conversions.h"
+#include "PreparedModel.h"
+#include "Utils.h"
+
+#include <aidl/android/hardware/neuralnetworks/Request.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, Request request,
+        hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "aidl::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation), measure,
+                                             loopTimeoutDuration);
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, Request request,
+                     hal::utils::RequestRelocation relocation, bool measure,
+                     int64_t loopTimeoutDuration)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure),
+      kLoopTimeoutDuration(loopTimeoutDuration) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& deadline) const {
+    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration,
+                                           kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+        const nn::OptionalDuration& timeoutDurationAfterFence) const {
+    const auto aidlWaitFor = NN_TRY(convert(waitFor));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
+    const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return kPreparedModel->executeFencedInternal(kRequest, aidlWaitFor, kMeasure, aidlDeadline,
+                                                 kLoopTimeoutDuration,
+                                                 aidlTimeoutDurationAfterFence, kRelocation);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils