diff --git a/neuralnetworks/utils/common/Android.bp b/neuralnetworks/utils/common/Android.bp
index b61dc97..21562cf 100644
--- a/neuralnetworks/utils/common/Android.bp
+++ b/neuralnetworks/utils/common/Android.bp
@@ -20,6 +20,7 @@
     srcs: ["src/*"],
     local_include_dirs: ["include/nnapi/hal"],
     export_include_dirs: ["include"],
+    cflags: ["-Wthread-safety"],
     static_libs: [
         "neuralnetworks_types",
     ],
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
index 8c01368..254a3d4 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
@@ -19,6 +19,7 @@
 
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
+#include <functional>
 #include <vector>
 
 // Shorthand
@@ -42,14 +43,16 @@
 bool hasNoPointerData(const nn::Request& request);
 
 // Relocate pointer-based data to shared memory.
-nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model);
-nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request);
+nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
+        const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut);
+nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
+        const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut);
 
 // Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
 // `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
 // Request object back to the output pointer-based memory in the original Request object.
-nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
-                                                const nn::Request& requestInShared);
+nn::GeneralResult<void> unflushDataFromSharedToPointer(
+        const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared);
 
 std::vector<uint32_t> countNumberOfConsumers(size_t numberOfOperands,
                                              const std::vector<nn::Operation>& operations);
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h b/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h
new file mode 100644
index 0000000..e4046b5
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/HandleError.h
@@ -0,0 +1,101 @@
+/*
+ * Copyright (C) 2020 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 <android/hidl/base/1.0/IBase.h>
+#include <hidl/HidlSupport.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+namespace android::hardware::neuralnetworks::utils {
+
+template <typename Type>
+nn::GeneralResult<Type> handleTransportError(const hardware::Return<Type>& ret) {
+    if (ret.isDeadObject()) {
+        return NN_ERROR(nn::ErrorStatus::DEAD_OBJECT)
+               << "Return<>::isDeadObject returned true: " << ret.description();
+    }
+    if (!ret.isOk()) {
+        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+               << "Return<>::isOk returned false: " << ret.description();
+    }
+    return ret;
+}
+
+template <>
+inline nn::GeneralResult<void> handleTransportError(const hardware::Return<void>& ret) {
+    if (ret.isDeadObject()) {
+        return NN_ERROR(nn::ErrorStatus::DEAD_OBJECT)
+               << "Return<>::isDeadObject returned true: " << ret.description();
+    }
+    if (!ret.isOk()) {
+        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+               << "Return<>::isOk returned false: " << ret.description();
+    }
+    return {};
+}
+
+template <typename Type>
+nn::GeneralResult<Type> makeGeneralFailure(nn::Result<Type> result, nn::ErrorStatus status) {
+    if (!result.has_value()) {
+        return nn::error(status) << std::move(result).error();
+    }
+    return std::move(result).value();
+}
+
+template <>
+inline nn::GeneralResult<void> makeGeneralFailure(nn::Result<void> result, nn::ErrorStatus status) {
+    if (!result.has_value()) {
+        return nn::error(status) << std::move(result).error();
+    }
+    return {};
+}
+
+template <typename Type>
+nn::ExecutionResult<Type> makeExecutionFailure(nn::Result<Type> result, nn::ErrorStatus status) {
+    if (!result.has_value()) {
+        return nn::error(status) << std::move(result).error();
+    }
+    return std::move(result).value();
+}
+
+template <>
+inline nn::ExecutionResult<void> makeExecutionFailure(nn::Result<void> result,
+                                                      nn::ErrorStatus status) {
+    if (!result.has_value()) {
+        return nn::error(status) << std::move(result).error();
+    }
+    return {};
+}
+
+template <typename Type>
+nn::ExecutionResult<Type> makeExecutionFailure(nn::GeneralResult<Type> result) {
+    if (!result.has_value()) {
+        const auto [message, status] = std::move(result).error();
+        return nn::error(status) << message;
+    }
+    return std::move(result).value();
+}
+
+template <>
+inline nn::ExecutionResult<void> makeExecutionFailure(nn::GeneralResult<void> result) {
+    if (!result.has_value()) {
+        const auto [message, status] = std::move(result).error();
+        return nn::error(status) << message;
+    }
+    return {};
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
\ No newline at end of file
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ProtectCallback.h b/neuralnetworks/utils/common/include/nnapi/hal/ProtectCallback.h
new file mode 100644
index 0000000..85bd613
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ProtectCallback.h
@@ -0,0 +1,90 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_PROTECT_CALLBACK_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_PROTECT_CALLBACK_H
+
+#include <android-base/scopeguard.h>
+#include <android-base/thread_annotations.h>
+#include <android/hidl/base/1.0/IBase.h>
+#include <hidl/HidlSupport.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <mutex>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class IProtectedCallback {
+  public:
+    /**
+     * Marks this object as a dead object.
+     */
+    virtual void notifyAsDeadObject() = 0;
+
+    // Public virtual destructor to allow objects to be stored (and destroyed) as smart pointers.
+    // E.g., std::unique_ptr<IProtectedCallback>.
+    virtual ~IProtectedCallback() = default;
+
+  protected:
+    // Protect the non-destructor special member functions to prevent object slicing.
+    IProtectedCallback() = default;
+    IProtectedCallback(const IProtectedCallback&) = default;
+    IProtectedCallback(IProtectedCallback&&) noexcept = default;
+    IProtectedCallback& operator=(const IProtectedCallback&) = default;
+    IProtectedCallback& operator=(IProtectedCallback&&) noexcept = default;
+};
+
+// Thread safe class
+class DeathRecipient final : public hidl_death_recipient {
+  public:
+    void serviceDied(uint64_t /*cookie*/, const wp<hidl::base::V1_0::IBase>& /*who*/) override;
+    // Precondition: `killable` must be non-null.
+    void add(IProtectedCallback* killable) const;
+    // Precondition: `killable` must be non-null.
+    void remove(IProtectedCallback* killable) const;
+
+  private:
+    mutable std::mutex mMutex;
+    mutable std::vector<IProtectedCallback*> mObjects GUARDED_BY(mMutex);
+};
+
+class DeathHandler final {
+  public:
+    static nn::GeneralResult<DeathHandler> create(sp<hidl::base::V1_0::IBase> object);
+
+    DeathHandler(const DeathHandler&) = delete;
+    DeathHandler(DeathHandler&&) noexcept = default;
+    DeathHandler& operator=(const DeathHandler&) = delete;
+    DeathHandler& operator=(DeathHandler&&) noexcept = delete;
+    ~DeathHandler();
+
+    using Cleanup = std::function<void()>;
+    // Precondition: `killable` must be non-null.
+    [[nodiscard]] base::ScopeGuard<Cleanup> protectCallback(IProtectedCallback* killable) const;
+
+  private:
+    DeathHandler(sp<hidl::base::V1_0::IBase> object, sp<DeathRecipient> deathRecipient);
+
+    sp<hidl::base::V1_0::IBase> kObject;
+    sp<DeathRecipient> kDeathRecipient;
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_PROTECT_CALLBACK_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientBuffer.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBuffer.h
new file mode 100644
index 0000000..996ec1e
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBuffer.h
@@ -0,0 +1,62 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_BUFFER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_BUFFER_H
+
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class ResilientBuffer final : public nn::IBuffer {
+    struct PrivateConstructorTag {};
+
+  public:
+    using Factory = std::function<nn::GeneralResult<nn::SharedBuffer>(bool blocking)>;
+
+    static nn::GeneralResult<std::shared_ptr<const ResilientBuffer>> create(Factory makeBuffer);
+
+    explicit ResilientBuffer(PrivateConstructorTag tag, Factory makeBuffer,
+                             nn::SharedBuffer buffer);
+
+    nn::SharedBuffer getBuffer() const;
+    nn::SharedBuffer recover(const nn::IBuffer* failingBuffer, bool blocking) const;
+
+    nn::Request::MemoryDomainToken getToken() const override;
+
+    nn::GeneralResult<void> copyTo(const nn::Memory& dst) const override;
+
+    nn::GeneralResult<void> copyFrom(const nn::Memory& src,
+                                     const nn::Dimensions& dimensions) const override;
+
+  private:
+    const Factory kMakeBuffer;
+    mutable std::mutex mMutex;
+    mutable nn::SharedBuffer mBuffer GUARDED_BY(mMutex);
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_BUFFER_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientDevice.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientDevice.h
new file mode 100644
index 0000000..4f1afb9
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientDevice.h
@@ -0,0 +1,107 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_DEVICE_H
+
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/IDevice.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <string>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class ResilientDevice final : public nn::IDevice,
+                              public std::enable_shared_from_this<ResilientDevice> {
+    struct PrivateConstructorTag {};
+
+  public:
+    using Factory = std::function<nn::GeneralResult<nn::SharedDevice>(bool blocking)>;
+
+    static nn::GeneralResult<std::shared_ptr<const ResilientDevice>> create(Factory makeDevice);
+
+    explicit ResilientDevice(PrivateConstructorTag tag, Factory makeDevice, std::string name,
+                             std::string versionString, std::vector<nn::Extension> extensions,
+                             nn::Capabilities capabilities, nn::SharedDevice device);
+
+    nn::SharedDevice getDevice() const;
+    nn::SharedDevice recover(const nn::IDevice* failingDevice, bool blocking) const;
+
+    const std::string& getName() const override;
+    const std::string& getVersionString() const override;
+    nn::Version getFeatureLevel() const override;
+    nn::DeviceType getType() const override;
+    const std::vector<nn::Extension>& getSupportedExtensions() const override;
+    const nn::Capabilities& getCapabilities() const override;
+    std::pair<uint32_t, uint32_t> getNumberOfCacheFilesNeeded() const override;
+
+    nn::GeneralResult<void> wait() const override;
+
+    nn::GeneralResult<std::vector<bool>> getSupportedOperations(
+            const nn::Model& model) const override;
+
+    nn::GeneralResult<nn::SharedPreparedModel> prepareModel(
+            const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
+            nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+            const std::vector<nn::NativeHandle>& dataCache,
+            const nn::CacheToken& token) const override;
+
+    nn::GeneralResult<nn::SharedPreparedModel> prepareModelFromCache(
+            nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+            const std::vector<nn::NativeHandle>& dataCache,
+            const nn::CacheToken& token) const override;
+
+    nn::GeneralResult<nn::SharedBuffer> allocate(
+            const nn::BufferDesc& desc, const std::vector<nn::SharedPreparedModel>& preparedModels,
+            const std::vector<nn::BufferRole>& inputRoles,
+            const std::vector<nn::BufferRole>& outputRoles) const override;
+
+  private:
+    nn::GeneralResult<nn::SharedPreparedModel> prepareModelInternal(
+            bool blocking, const nn::Model& model, nn::ExecutionPreference preference,
+            nn::Priority priority, nn::OptionalTimePoint deadline,
+            const std::vector<nn::NativeHandle>& modelCache,
+            const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const;
+    nn::GeneralResult<nn::SharedPreparedModel> prepareModelFromCacheInternal(
+            bool blocking, nn::OptionalTimePoint deadline,
+            const std::vector<nn::NativeHandle>& modelCache,
+            const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const;
+    nn::GeneralResult<nn::SharedBuffer> allocateInternal(
+            bool blocking, const nn::BufferDesc& desc,
+            const std::vector<nn::SharedPreparedModel>& preparedModels,
+            const std::vector<nn::BufferRole>& inputRoles,
+            const std::vector<nn::BufferRole>& outputRoles) const;
+
+    const Factory kMakeDevice;
+    const std::string kName;
+    const std::string kVersionString;
+    const std::vector<nn::Extension> kExtensions;
+    const nn::Capabilities kCapabilities;
+    mutable std::mutex mMutex;
+    mutable nn::SharedDevice mDevice GUARDED_BY(mMutex);
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_DEVICE_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h
new file mode 100644
index 0000000..c2940d1
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h
@@ -0,0 +1,70 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
+
+#include <android-base/thread_annotations.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class ResilientPreparedModel final : public nn::IPreparedModel {
+    struct PrivateConstructorTag {};
+
+  public:
+    using Factory = std::function<nn::GeneralResult<nn::SharedPreparedModel>(bool blocking)>;
+
+    static nn::GeneralResult<std::shared_ptr<const ResilientPreparedModel>> create(
+            Factory makePreparedModel);
+
+    explicit ResilientPreparedModel(PrivateConstructorTag tag, Factory makePreparedModel,
+                                    nn::SharedPreparedModel preparedModel);
+
+    nn::SharedPreparedModel getPreparedModel() const;
+    nn::SharedPreparedModel recover(const nn::IPreparedModel* failingPreparedModel,
+                                    bool blocking) const;
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalTimePoint& deadline,
+            const nn::OptionalTimeoutDuration& loopTimeoutDuration) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> executeFenced(
+            const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
+            nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalTimeoutDuration& loopTimeoutDuration,
+            const nn::OptionalTimeoutDuration& timeoutDurationAfterFence) const override;
+
+    std::any getUnderlyingResource() const override;
+
+  private:
+    const Factory kMakePreparedModel;
+    mutable std::mutex mMutex;
+    mutable nn::SharedPreparedModel mPreparedModel GUARDED_BY(mMutex);
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_PREPARED_MODEL_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/TransferValue.h b/neuralnetworks/utils/common/include/nnapi/hal/TransferValue.h
new file mode 100644
index 0000000..7103c6b
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/TransferValue.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_TRANSFER_VALUE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_TRANSFER_VALUE_H
+
+#include <android-base/thread_annotations.h>
+
+#include <condition_variable>
+#include <mutex>
+#include <optional>
+
+namespace android::hardware::neuralnetworks::utils {
+
+// This class is thread safe.
+template <typename Type>
+class TransferValue final {
+  public:
+    void put(Type object) const;
+    [[nodiscard]] Type take() const;
+
+  private:
+    mutable std::mutex mMutex;
+    mutable std::condition_variable mCondition;
+    mutable std::optional<Type> mObject GUARDED_BY(mMutex);
+};
+
+// template implementation
+
+template <typename Type>
+void TransferValue<Type>::put(Type object) const {
+    {
+        std::lock_guard guard(mMutex);
+        // Immediately return if value already exists.
+        if (mObject.has_value()) return;
+        mObject.emplace(std::move(object));
+    }
+    mCondition.notify_all();
+}
+
+template <typename Type>
+Type TransferValue<Type>::take() const {
+    std::unique_lock lock(mMutex);
+    base::ScopedLockAssertion lockAssertion(mMutex);
+    mCondition.wait(lock, [this]() REQUIRES(mMutex) { return mObject.has_value(); });
+    std::optional<Type> object;
+    std::swap(object, mObject);
+    return std::move(object).value();
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_TRANSFER_VALUE_H
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
index 667189b..2565972 100644
--- a/neuralnetworks/utils/common/src/CommonUtils.cpp
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -16,6 +16,8 @@
 
 #include "CommonUtils.h"
 
+#include "HandleError.h"
+
 #include <android-base/logging.h>
 #include <nnapi/Result.h>
 #include <nnapi/SharedMemory.h>
@@ -25,6 +27,7 @@
 
 #include <algorithm>
 #include <any>
+#include <functional>
 #include <optional>
 #include <variant>
 #include <vector>
@@ -111,8 +114,18 @@
     return hasNoPointerData(request.inputs) && hasNoPointerData(request.outputs);
 }
 
-nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model) {
-    auto modelInShared = model;
+nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
+        const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut) {
+    CHECK(model != nullptr);
+    CHECK(maybeModelInSharedOut != nullptr);
+
+    if (hasNoPointerData(*model)) {
+        return *model;
+    }
+
+    // Make a copy of the model in order to make modifications. The modified model is returned to
+    // the caller through `maybeModelInSharedOut` if the function succeeds.
+    nn::Model modelInShared = *model;
 
     nn::ConstantMemoryBuilder memoryBuilder(modelInShared.pools.size());
     copyPointersToSharedMemory(&modelInShared.main, &memoryBuilder);
@@ -126,11 +139,22 @@
         modelInShared.pools.push_back(std::move(memory));
     }
 
-    return modelInShared;
+    *maybeModelInSharedOut = modelInShared;
+    return **maybeModelInSharedOut;
 }
 
-nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request) {
-    auto requestInShared = request;
+nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
+        const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut) {
+    CHECK(request != nullptr);
+    CHECK(maybeRequestInSharedOut != nullptr);
+
+    if (hasNoPointerData(*request)) {
+        return *request;
+    }
+
+    // Make a copy of the request in order to make modifications. The modified request is returned
+    // to the caller through `maybeRequestInSharedOut` if the function succeeds.
+    nn::Request requestInShared = *request;
 
     // Change input pointers to shared memory.
     nn::ConstantMemoryBuilder inputBuilder(requestInShared.pools.size());
@@ -171,15 +195,17 @@
         requestInShared.pools.push_back(std::move(memory));
     }
 
-    return requestInShared;
+    *maybeRequestInSharedOut = requestInShared;
+    return **maybeRequestInSharedOut;
 }
 
-nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
-                                                const nn::Request& requestInShared) {
-    if (requestInShared.pools.empty() ||
-        !std::holds_alternative<nn::Memory>(requestInShared.pools.back())) {
+nn::GeneralResult<void> unflushDataFromSharedToPointer(
+        const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared) {
+    if (!maybeRequestInShared.has_value() || maybeRequestInShared->pools.empty() ||
+        !std::holds_alternative<nn::Memory>(maybeRequestInShared->pools.back())) {
         return {};
     }
+    const auto& requestInShared = *maybeRequestInShared;
 
     // Map the memory.
     const auto& outputMemory = std::get<nn::Memory>(requestInShared.pools.back());
diff --git a/neuralnetworks/utils/common/src/ProtectCallback.cpp b/neuralnetworks/utils/common/src/ProtectCallback.cpp
new file mode 100644
index 0000000..1d9a307
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ProtectCallback.cpp
@@ -0,0 +1,95 @@
+/*
+ * Copyright (C) 2020 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 "ProtectCallback.h"
+
+#include <android-base/logging.h>
+#include <android-base/scopeguard.h>
+#include <android-base/thread_annotations.h>
+#include <android/hidl/base/1.0/IBase.h>
+#include <hidl/HidlSupport.h>
+#include <nnapi/Result.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <algorithm>
+#include <functional>
+#include <mutex>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+void DeathRecipient::serviceDied(uint64_t /*cookie*/, const wp<hidl::base::V1_0::IBase>& /*who*/) {
+    std::lock_guard guard(mMutex);
+    std::for_each(mObjects.begin(), mObjects.end(),
+                  [](IProtectedCallback* killable) { killable->notifyAsDeadObject(); });
+}
+
+void DeathRecipient::add(IProtectedCallback* killable) const {
+    CHECK(killable != nullptr);
+    std::lock_guard guard(mMutex);
+    mObjects.push_back(killable);
+}
+
+void DeathRecipient::remove(IProtectedCallback* killable) const {
+    CHECK(killable != nullptr);
+    std::lock_guard guard(mMutex);
+    const auto removedIter = std::remove(mObjects.begin(), mObjects.end(), killable);
+    mObjects.erase(removedIter);
+}
+
+nn::GeneralResult<DeathHandler> DeathHandler::create(sp<hidl::base::V1_0::IBase> object) {
+    if (object == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "utils::DeathHandler::create must have non-null object";
+    }
+    auto deathRecipient = sp<DeathRecipient>::make();
+
+    const auto ret = object->linkToDeath(deathRecipient, /*cookie=*/0);
+    const bool success = NN_TRY(handleTransportError(ret));
+    if (!success) {
+        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "IBase::linkToDeath returned false";
+    }
+
+    return DeathHandler(std::move(object), std::move(deathRecipient));
+}
+
+DeathHandler::DeathHandler(sp<hidl::base::V1_0::IBase> object, sp<DeathRecipient> deathRecipient)
+    : kObject(std::move(object)), kDeathRecipient(std::move(deathRecipient)) {
+    CHECK(kObject != nullptr);
+    CHECK(kDeathRecipient != nullptr);
+}
+
+DeathHandler::~DeathHandler() {
+    if (kObject != nullptr && kDeathRecipient != nullptr) {
+        const auto ret = kObject->unlinkToDeath(kDeathRecipient);
+        const auto maybeSuccess = handleTransportError(ret);
+        if (!maybeSuccess.has_value()) {
+            LOG(ERROR) << maybeSuccess.error().message;
+        } else if (!maybeSuccess.value()) {
+            LOG(ERROR) << "IBase::linkToDeath returned false";
+        }
+    }
+}
+
+[[nodiscard]] base::ScopeGuard<DeathHandler::Cleanup> DeathHandler::protectCallback(
+        IProtectedCallback* killable) const {
+    CHECK(killable != nullptr);
+    kDeathRecipient->add(killable);
+    return base::make_scope_guard(
+            [deathRecipient = kDeathRecipient, killable] { deathRecipient->remove(killable); });
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientBuffer.cpp b/neuralnetworks/utils/common/src/ResilientBuffer.cpp
new file mode 100644
index 0000000..984295b
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientBuffer.cpp
@@ -0,0 +1,75 @@
+/*
+ * Copyright (C) 2020 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 "ResilientBuffer.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const ResilientBuffer>> ResilientBuffer::create(
+        Factory makeBuffer) {
+    if (makeBuffer == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "utils::ResilientBuffer::create must have non-empty makeBuffer";
+    }
+    auto buffer = NN_TRY(makeBuffer(/*blocking=*/true));
+    CHECK(buffer != nullptr);
+    return std::make_shared<const ResilientBuffer>(PrivateConstructorTag{}, std::move(makeBuffer),
+                                                   std::move(buffer));
+}
+
+ResilientBuffer::ResilientBuffer(PrivateConstructorTag /*tag*/, Factory makeBuffer,
+                                 nn::SharedBuffer buffer)
+    : kMakeBuffer(std::move(makeBuffer)), mBuffer(std::move(buffer)) {
+    CHECK(kMakeBuffer != nullptr);
+    CHECK(mBuffer != nullptr);
+}
+
+nn::SharedBuffer ResilientBuffer::getBuffer() const {
+    std::lock_guard guard(mMutex);
+    return mBuffer;
+}
+nn::SharedBuffer ResilientBuffer::recover(const nn::IBuffer* /*failingBuffer*/,
+                                          bool /*blocking*/) const {
+    std::lock_guard guard(mMutex);
+    return mBuffer;
+}
+
+nn::Request::MemoryDomainToken ResilientBuffer::getToken() const {
+    return getBuffer()->getToken();
+}
+
+nn::GeneralResult<void> ResilientBuffer::copyTo(const nn::Memory& dst) const {
+    return getBuffer()->copyTo(dst);
+}
+
+nn::GeneralResult<void> ResilientBuffer::copyFrom(const nn::Memory& src,
+                                                  const nn::Dimensions& dimensions) const {
+    return getBuffer()->copyFrom(src, dimensions);
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientDevice.cpp b/neuralnetworks/utils/common/src/ResilientDevice.cpp
new file mode 100644
index 0000000..95662d9
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientDevice.cpp
@@ -0,0 +1,236 @@
+/*
+ * Copyright (C) 2020 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 "ResilientDevice.h"
+
+#include "ResilientBuffer.h"
+#include "ResilientPreparedModel.h"
+
+#include <android-base/logging.h>
+#include <nnapi/IBuffer.h>
+#include <nnapi/IDevice.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+
+#include <algorithm>
+#include <memory>
+#include <string>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+namespace {
+
+template <typename FnType>
+auto protect(const ResilientDevice& resilientDevice, const FnType& fn, bool blocking)
+        -> decltype(fn(*resilientDevice.getDevice())) {
+    auto device = resilientDevice.getDevice();
+    auto result = fn(*device);
+
+    // Immediately return if device is not dead.
+    if (result.has_value() || result.error().code != nn::ErrorStatus::DEAD_OBJECT) {
+        return result;
+    }
+
+    device = resilientDevice.recover(device.get(), blocking);
+    return fn(*device);
+}
+
+}  // namespace
+
+nn::GeneralResult<std::shared_ptr<const ResilientDevice>> ResilientDevice::create(
+        Factory makeDevice) {
+    if (makeDevice == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "utils::ResilientDevice::create must have non-empty makeDevice";
+    }
+    auto device = NN_TRY(makeDevice(/*blocking=*/true));
+    CHECK(device != nullptr);
+
+    auto name = device->getName();
+    auto versionString = device->getVersionString();
+    auto extensions = device->getSupportedExtensions();
+    auto capabilities = device->getCapabilities();
+
+    return std::make_shared<ResilientDevice>(PrivateConstructorTag{}, std::move(makeDevice),
+                                             std::move(name), std::move(versionString),
+                                             std::move(extensions), std::move(capabilities),
+                                             std::move(device));
+}
+
+ResilientDevice::ResilientDevice(PrivateConstructorTag /*tag*/, Factory makeDevice,
+                                 std::string name, std::string versionString,
+                                 std::vector<nn::Extension> extensions,
+                                 nn::Capabilities capabilities, nn::SharedDevice device)
+    : kMakeDevice(std::move(makeDevice)),
+      kName(std::move(name)),
+      kVersionString(std::move(versionString)),
+      kExtensions(std::move(extensions)),
+      kCapabilities(std::move(capabilities)),
+      mDevice(std::move(device)) {
+    CHECK(kMakeDevice != nullptr);
+    CHECK(mDevice != nullptr);
+}
+
+nn::SharedDevice ResilientDevice::getDevice() const {
+    std::lock_guard guard(mMutex);
+    return mDevice;
+}
+
+nn::SharedDevice ResilientDevice::recover(const nn::IDevice* failingDevice, bool blocking) const {
+    std::lock_guard guard(mMutex);
+
+    // Another caller updated the failing device.
+    if (mDevice.get() != failingDevice) {
+        return mDevice;
+    }
+
+    auto maybeDevice = kMakeDevice(blocking);
+    if (!maybeDevice.has_value()) {
+        const auto& [message, code] = maybeDevice.error();
+        LOG(ERROR) << "Failed to recover dead device with error " << code << ": " << message;
+        return mDevice;
+    }
+    auto device = std::move(maybeDevice).value();
+
+    // TODO(b/173081926): Instead of CHECKing to ensure the cache has not been changed, return an
+    // invalid/"null" IDevice object that always fails.
+    CHECK_EQ(kName, device->getName());
+    CHECK_EQ(kVersionString, device->getVersionString());
+    CHECK(kExtensions == device->getSupportedExtensions());
+    CHECK_EQ(kCapabilities, device->getCapabilities());
+
+    mDevice = std::move(device);
+    return mDevice;
+}
+
+const std::string& ResilientDevice::getName() const {
+    return kName;
+}
+
+const std::string& ResilientDevice::getVersionString() const {
+    return kVersionString;
+}
+
+nn::Version ResilientDevice::getFeatureLevel() const {
+    return getDevice()->getFeatureLevel();
+}
+
+nn::DeviceType ResilientDevice::getType() const {
+    return getDevice()->getType();
+}
+
+const std::vector<nn::Extension>& ResilientDevice::getSupportedExtensions() const {
+    return kExtensions;
+}
+
+const nn::Capabilities& ResilientDevice::getCapabilities() const {
+    return kCapabilities;
+}
+
+std::pair<uint32_t, uint32_t> ResilientDevice::getNumberOfCacheFilesNeeded() const {
+    return getDevice()->getNumberOfCacheFilesNeeded();
+}
+
+nn::GeneralResult<void> ResilientDevice::wait() const {
+    const auto fn = [](const nn::IDevice& device) { return device.wait(); };
+    return protect(*this, fn, /*blocking=*/true);
+}
+
+nn::GeneralResult<std::vector<bool>> ResilientDevice::getSupportedOperations(
+        const nn::Model& model) const {
+    const auto fn = [&model](const nn::IDevice& device) {
+        return device.getSupportedOperations(model);
+    };
+    return protect(*this, fn, /*blocking=*/false);
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModel(
+        const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
+        nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+    auto self = shared_from_this();
+    ResilientPreparedModel::Factory makePreparedModel =
+            [device = std::move(self), model, preference, priority, deadline, modelCache, dataCache,
+             token](bool blocking) -> nn::GeneralResult<nn::SharedPreparedModel> {
+        return device->prepareModelInternal(blocking, model, preference, priority, deadline,
+                                            modelCache, dataCache, token);
+    };
+    return ResilientPreparedModel::create(std::move(makePreparedModel));
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelFromCache(
+        nn::OptionalTimePoint deadline, const std::vector<nn::NativeHandle>& modelCache,
+        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+    auto self = shared_from_this();
+    ResilientPreparedModel::Factory makePreparedModel =
+            [device = std::move(self), deadline, modelCache, dataCache,
+             token](bool blocking) -> nn::GeneralResult<nn::SharedPreparedModel> {
+        return device->prepareModelFromCacheInternal(blocking, deadline, modelCache, dataCache,
+                                                     token);
+    };
+    return ResilientPreparedModel::create(std::move(makePreparedModel));
+}
+
+nn::GeneralResult<nn::SharedBuffer> ResilientDevice::allocate(
+        const nn::BufferDesc& desc, const std::vector<nn::SharedPreparedModel>& preparedModels,
+        const std::vector<nn::BufferRole>& inputRoles,
+        const std::vector<nn::BufferRole>& outputRoles) const {
+    auto self = shared_from_this();
+    ResilientBuffer::Factory makeBuffer =
+            [device = std::move(self), desc, preparedModels, inputRoles,
+             outputRoles](bool blocking) -> nn::GeneralResult<nn::SharedBuffer> {
+        return device->allocateInternal(blocking, desc, preparedModels, inputRoles, outputRoles);
+    };
+    return ResilientBuffer::create(std::move(makeBuffer));
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelInternal(
+        bool blocking, const nn::Model& model, nn::ExecutionPreference preference,
+        nn::Priority priority, nn::OptionalTimePoint deadline,
+        const std::vector<nn::NativeHandle>& modelCache,
+        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+    const auto fn = [&model, preference, priority, deadline, &modelCache, &dataCache,
+                     token](const nn::IDevice& device) {
+        return device.prepareModel(model, preference, priority, deadline, modelCache, dataCache,
+                                   token);
+    };
+    return protect(*this, fn, blocking);
+}
+
+nn::GeneralResult<nn::SharedPreparedModel> ResilientDevice::prepareModelFromCacheInternal(
+        bool blocking, nn::OptionalTimePoint deadline,
+        const std::vector<nn::NativeHandle>& modelCache,
+        const std::vector<nn::NativeHandle>& dataCache, const nn::CacheToken& token) const {
+    const auto fn = [deadline, &modelCache, &dataCache, token](const nn::IDevice& device) {
+        return device.prepareModelFromCache(deadline, modelCache, dataCache, token);
+    };
+    return protect(*this, fn, blocking);
+}
+
+nn::GeneralResult<nn::SharedBuffer> ResilientDevice::allocateInternal(
+        bool blocking, const nn::BufferDesc& desc,
+        const std::vector<nn::SharedPreparedModel>& preparedModels,
+        const std::vector<nn::BufferRole>& inputRoles,
+        const std::vector<nn::BufferRole>& outputRoles) const {
+    const auto fn = [&desc, &preparedModels, &inputRoles, &outputRoles](const nn::IDevice& device) {
+        return device.allocate(desc, preparedModels, inputRoles, outputRoles);
+    };
+    return protect(*this, fn, blocking);
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
new file mode 100644
index 0000000..1c9ecba
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
@@ -0,0 +1,85 @@
+/*
+ * Copyright (C) 2020 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 "ResilientPreparedModel.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IPreparedModel.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const ResilientPreparedModel>> ResilientPreparedModel::create(
+        Factory makePreparedModel) {
+    if (makePreparedModel == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "utils::ResilientPreparedModel::create must have non-empty makePreparedModel";
+    }
+    auto preparedModel = NN_TRY(makePreparedModel(/*blocking=*/true));
+    CHECK(preparedModel != nullptr);
+    return std::make_shared<ResilientPreparedModel>(
+            PrivateConstructorTag{}, std::move(makePreparedModel), std::move(preparedModel));
+}
+
+ResilientPreparedModel::ResilientPreparedModel(PrivateConstructorTag /*tag*/,
+                                               Factory makePreparedModel,
+                                               nn::SharedPreparedModel preparedModel)
+    : kMakePreparedModel(std::move(makePreparedModel)), mPreparedModel(std::move(preparedModel)) {
+    CHECK(kMakePreparedModel != nullptr);
+    CHECK(mPreparedModel != nullptr);
+}
+
+nn::SharedPreparedModel ResilientPreparedModel::getPreparedModel() const {
+    std::lock_guard guard(mMutex);
+    return mPreparedModel;
+}
+
+nn::SharedPreparedModel ResilientPreparedModel::recover(
+        const nn::IPreparedModel* /*failingPreparedModel*/, bool /*blocking*/) const {
+    std::lock_guard guard(mMutex);
+    return mPreparedModel;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+ResilientPreparedModel::execute(const nn::Request& request, nn::MeasureTiming measure,
+                                const nn::OptionalTimePoint& deadline,
+                                const nn::OptionalTimeoutDuration& loopTimeoutDuration) const {
+    return getPreparedModel()->execute(request, measure, deadline, loopTimeoutDuration);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+ResilientPreparedModel::executeFenced(
+        const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
+        nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
+        const nn::OptionalTimeoutDuration& loopTimeoutDuration,
+        const nn::OptionalTimeoutDuration& timeoutDurationAfterFence) const {
+    return getPreparedModel()->executeFenced(request, waitFor, measure, deadline,
+                                             loopTimeoutDuration, timeoutDurationAfterFence);
+}
+
+std::any ResilientPreparedModel::getUnderlyingResource() const {
+    return getPreparedModel()->getUnderlyingResource();
+}
+
+}  // namespace android::hardware::neuralnetworks::utils