diff --git a/neuralnetworks/1.0/utils/Android.bp b/neuralnetworks/1.0/utils/Android.bp
index 8c51c67..31cdded 100644
--- a/neuralnetworks/1.0/utils/Android.bp
+++ b/neuralnetworks/1.0/utils/Android.bp
@@ -31,6 +31,7 @@
     export_include_dirs: ["include"],
     cflags: ["-Wthread-safety"],
     static_libs: [
+        "libarect",
         "neuralnetworks_types",
         "neuralnetworks_utils_hal_common",
     ],
@@ -40,6 +41,11 @@
     export_static_lib_headers: [
         "neuralnetworks_utils_hal_common",
     ],
+    target: {
+        android: {
+            shared_libs: ["libnativewindow"],
+        },
+    },
 }
 
 cc_test {
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Conversions.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Conversions.h
index 5d4bdbc..a770d06 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Conversions.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Conversions.h
@@ -36,6 +36,7 @@
 GeneralResult<Operation> unvalidatedConvert(const hal::V1_0::Operation& operation);
 GeneralResult<Model::OperandValues> unvalidatedConvert(
         const hardware::hidl_vec<uint8_t>& operandValues);
+GeneralResult<SharedHandle> unvalidatedConvert(const hardware::hidl_handle& handle);
 GeneralResult<SharedMemory> unvalidatedConvert(const hardware::hidl_memory& memory);
 GeneralResult<Model> unvalidatedConvert(const hal::V1_0::Model& model);
 GeneralResult<Request::Argument> unvalidatedConvert(
@@ -65,6 +66,7 @@
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation);
 nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
         const nn::Model::OperandValues& operandValues);
+nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle);
 nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::SharedMemory& memory);
 nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
 nn::GeneralResult<RequestArgument> unvalidatedConvert(const nn::Request::Argument& requestArgument);
diff --git a/neuralnetworks/1.0/utils/src/Conversions.cpp b/neuralnetworks/1.0/utils/src/Conversions.cpp
index 9270870..daa10fd 100644
--- a/neuralnetworks/1.0/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.0/utils/src/Conversions.cpp
@@ -37,6 +37,11 @@
 
 #include "Utils.h"
 
+#ifdef __ANDROID__
+#include <android/hardware_buffer.h>
+#include <vndk/hardware_buffer.h>
+#endif  // __ANDROID__
+
 namespace {
 
 template <typename Type>
@@ -49,6 +54,7 @@
 namespace android::nn {
 namespace {
 
+using hardware::hidl_handle;
 using hardware::hidl_memory;
 using hardware::hidl_vec;
 
@@ -74,6 +80,121 @@
     return canonical;
 }
 
+nn::GeneralResult<nn::Memory::Unknown::Handle> unknownHandleFromNativeHandle(
+        const native_handle_t* handle) {
+    if (handle == nullptr) {
+        return NN_ERROR() << "unknownHandleFromNativeHandle failed because handle is nullptr";
+    }
+
+    std::vector<base::unique_fd> fds =
+            NN_TRY(nn::dupFds(handle->data + 0, handle->data + handle->numFds));
+
+    std::vector<int> ints(handle->data + handle->numFds,
+                          handle->data + handle->numFds + handle->numInts);
+
+    return nn::Memory::Unknown::Handle{.fds = std::move(fds), .ints = std::move(ints)};
+}
+
+nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const hidl_memory& memory) {
+    CHECK_LE(memory.size(), std::numeric_limits<size_t>::max());
+    if (!memory.valid()) {
+        return NN_ERROR() << "Unable to convert invalid hidl_memory";
+    }
+
+    if (memory.name() == "ashmem") {
+        if (memory.handle()->numFds != 1) {
+            return NN_ERROR() << "Unable to convert invalid ashmem memory object with "
+                              << memory.handle()->numFds << " numFds, but expected 1";
+        }
+        if (memory.handle()->numInts != 0) {
+            return NN_ERROR() << "Unable to convert invalid ashmem memory object with "
+                              << memory.handle()->numInts << " numInts, but expected 0";
+        }
+        auto handle = nn::Memory::Ashmem{
+                .fd = NN_TRY(nn::dupFd(memory.handle()->data[0])),
+                .size = static_cast<size_t>(memory.size()),
+        };
+        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
+    }
+
+    if (memory.name() == "mmap_fd") {
+        if (memory.handle()->numFds != 1) {
+            return NN_ERROR() << "Unable to convert invalid mmap_fd memory object with "
+                              << memory.handle()->numFds << " numFds, but expected 1";
+        }
+        if (memory.handle()->numInts != 3) {
+            return NN_ERROR() << "Unable to convert invalid mmap_fd memory object with "
+                              << memory.handle()->numInts << " numInts, but expected 3";
+        }
+
+        const int fd = memory.handle()->data[0];
+        const int prot = memory.handle()->data[1];
+        const int lower = memory.handle()->data[2];
+        const int higher = memory.handle()->data[3];
+        const size_t offset = nn::getOffsetFromInts(lower, higher);
+
+        return nn::createSharedMemoryFromFd(static_cast<size_t>(memory.size()), prot, fd, offset);
+    }
+
+    if (memory.name() != "hardware_buffer_blob") {
+        auto handle = nn::Memory::Unknown{
+                .handle = NN_TRY(unknownHandleFromNativeHandle(memory.handle())),
+                .size = static_cast<size_t>(memory.size()),
+                .name = memory.name(),
+        };
+        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
+    }
+
+#ifdef __ANDROID__
+    constexpr auto roundUpToMultiple = [](uint32_t value, uint32_t multiple) -> uint32_t {
+        return (value + multiple - 1) / multiple * multiple;
+    };
+
+    const auto size = memory.size();
+    const auto format = AHARDWAREBUFFER_FORMAT_BLOB;
+    const auto usage = AHARDWAREBUFFER_USAGE_CPU_READ_OFTEN | AHARDWAREBUFFER_USAGE_CPU_WRITE_OFTEN;
+    const uint32_t width = size;
+    const uint32_t height = 1;  // height is always 1 for BLOB mode AHardwareBuffer.
+    const uint32_t layers = 1;  // layers is always 1 for BLOB mode AHardwareBuffer.
+
+    // AHardwareBuffer_createFromHandle() might fail because an allocator
+    // expects a specific stride value. In that case, we try to guess it by
+    // aligning the width to small powers of 2.
+    // TODO(b/174120849): Avoid stride assumptions.
+    AHardwareBuffer* hardwareBuffer = nullptr;
+    status_t status = UNKNOWN_ERROR;
+    for (uint32_t alignment : {1, 4, 32, 64, 128, 2, 8, 16}) {
+        const uint32_t stride = roundUpToMultiple(width, alignment);
+        AHardwareBuffer_Desc desc{
+                .width = width,
+                .height = height,
+                .layers = layers,
+                .format = format,
+                .usage = usage,
+                .stride = stride,
+        };
+        status = AHardwareBuffer_createFromHandle(&desc, memory.handle(),
+                                                  AHARDWAREBUFFER_CREATE_FROM_HANDLE_METHOD_CLONE,
+                                                  &hardwareBuffer);
+        if (status == NO_ERROR) {
+            break;
+        }
+    }
+    if (status != NO_ERROR) {
+        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+               << "Can't create AHardwareBuffer from handle. Error: " << status;
+    }
+
+    return nn::createSharedMemoryFromAHWB(hardwareBuffer, /*takeOwnership=*/true);
+#else   // __ANDROID__
+    LOG(FATAL) << "nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const "
+                  "hidl_memory& memory): Not Available on Host Build";
+    return (NN_ERROR() << "createSharedMemoryFromHidlMemory failed")
+            .
+            operator nn::GeneralResult<nn::SharedMemory>();
+#endif  // __ANDROID__
+}
+
 }  // anonymous namespace
 
 GeneralResult<OperandType> unvalidatedConvert(const hal::V1_0::OperandType& operandType) {
@@ -146,8 +267,20 @@
     return Model::OperandValues(operandValues.data(), operandValues.size());
 }
 
+GeneralResult<SharedHandle> unvalidatedConvert(const hidl_handle& handle) {
+    if (handle.getNativeHandle() == nullptr) {
+        return nullptr;
+    }
+    if (handle->numFds != 1 || handle->numInts != 0) {
+        return NN_ERROR()
+               << "unvalidatedConvert failed because handle does not only hold a single fd";
+    }
+    auto duplicatedFd = NN_TRY(nn::dupFd(handle->data[0]));
+    return std::make_shared<const Handle>(std::move(duplicatedFd));
+}
+
 GeneralResult<SharedMemory> unvalidatedConvert(const hidl_memory& memory) {
-    return hal::utils::createSharedMemoryFromHidlMemory(memory);
+    return createSharedMemoryFromHidlMemory(memory);
 }
 
 GeneralResult<Model> unvalidatedConvert(const hal::V1_0::Model& model) {
@@ -260,6 +393,82 @@
     return utils::unvalidatedConvert(canonical);
 }
 
+nn::GeneralResult<hidl_handle> createNativeHandleFrom(std::vector<base::unique_fd> fds,
+                                                      const std::vector<int32_t>& ints) {
+    constexpr size_t kIntMax = std::numeric_limits<int>::max();
+    CHECK_LE(fds.size(), kIntMax);
+    CHECK_LE(ints.size(), kIntMax);
+    native_handle_t* nativeHandle =
+            native_handle_create(static_cast<int>(fds.size()), static_cast<int>(ints.size()));
+    if (nativeHandle == nullptr) {
+        return NN_ERROR() << "Failed to create native_handle";
+    }
+
+    for (size_t i = 0; i < fds.size(); ++i) {
+        nativeHandle->data[i] = fds[i].release();
+    }
+    std::copy(ints.begin(), ints.end(), nativeHandle->data + nativeHandle->numFds);
+
+    hidl_handle handle;
+    handle.setTo(nativeHandle, /*shouldOwn=*/true);
+    return handle;
+}
+
+nn::GeneralResult<hidl_handle> createNativeHandleFrom(base::unique_fd fd,
+                                                      const std::vector<int32_t>& ints) {
+    std::vector<base::unique_fd> fds;
+    fds.push_back(std::move(fd));
+    return createNativeHandleFrom(std::move(fds), ints);
+}
+
+nn::GeneralResult<hidl_handle> createNativeHandleFrom(const nn::Memory::Unknown::Handle& handle) {
+    std::vector<base::unique_fd> fds = NN_TRY(nn::dupFds(handle.fds.begin(), handle.fds.end()));
+    return createNativeHandleFrom(std::move(fds), handle.ints);
+}
+
+nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Ashmem& memory) {
+    auto fd = NN_TRY(nn::dupFd(memory.fd));
+    auto handle = NN_TRY(createNativeHandleFrom(std::move(fd), {}));
+    return hidl_memory("ashmem", std::move(handle), memory.size);
+}
+
+nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Fd& memory) {
+    auto fd = NN_TRY(nn::dupFd(memory.fd));
+
+    const auto [lowOffsetBits, highOffsetBits] = nn::getIntsFromOffset(memory.offset);
+    const std::vector<int> ints = {memory.prot, lowOffsetBits, highOffsetBits};
+
+    auto handle = NN_TRY(createNativeHandleFrom(std::move(fd), ints));
+    return hidl_memory("mmap_fd", std::move(handle), memory.size);
+}
+
+nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::HardwareBuffer& memory) {
+#ifdef __ANDROID__
+    const auto* ahwb = memory.handle.get();
+    AHardwareBuffer_Desc bufferDesc;
+    AHardwareBuffer_describe(ahwb, &bufferDesc);
+
+    const bool isBlob = bufferDesc.format == AHARDWAREBUFFER_FORMAT_BLOB;
+    const size_t size = isBlob ? bufferDesc.width : 0;
+    const char* const name = isBlob ? "hardware_buffer_blob" : "hardware_buffer";
+
+    const native_handle_t* nativeHandle = AHardwareBuffer_getNativeHandle(ahwb);
+    const hidl_handle hidlHandle(nativeHandle);
+    hidl_handle copiedHandle(hidlHandle);
+
+    return hidl_memory(name, std::move(copiedHandle), size);
+#else   // __ANDROID__
+    LOG(FATAL) << "nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const "
+                  "nn::Memory::HardwareBuffer& memory): Not Available on Host Build";
+    (void)memory;
+    return (NN_ERROR() << "createHidlMemoryFrom failed").operator nn::GeneralResult<hidl_memory>();
+#endif  // __ANDROID__
+}
+
+nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Unknown& memory) {
+    return hidl_memory(memory.name, NN_TRY(createNativeHandleFrom(memory.handle)), memory.size);
+}
+
 }  // anonymous namespace
 
 nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
@@ -332,8 +541,19 @@
     return hidl_vec<uint8_t>(operandValues.data(), operandValues.data() + operandValues.size());
 }
 
+nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
+    if (handle == nullptr) {
+        return {};
+    }
+    base::unique_fd fd = NN_TRY(nn::dupFd(handle->get()));
+    return createNativeHandleFrom(std::move(fd), {});
+}
+
 nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::SharedMemory& memory) {
-    return hal::utils::createHidlMemoryFromSharedMemory(memory);
+    if (memory == nullptr) {
+        return NN_ERROR() << "Memory must be non-empty";
+    }
+    return std::visit([](const auto& x) { return createHidlMemoryFrom(x); }, memory->handle);
 }
 
 nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
index 272cee7..c3348aa 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
@@ -45,7 +45,6 @@
 GeneralResult<Extension> unvalidatedConvert(const hal::V1_2::Extension& extension);
 GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
         const hal::V1_2::Extension::OperandTypeInformation& operandTypeInformation);
-GeneralResult<SharedHandle> unvalidatedConvert(const hardware::hidl_handle& handle);
 
 GeneralResult<DeviceType> convert(const hal::V1_2::DeviceType& deviceType);
 GeneralResult<Capabilities> convert(const hal::V1_2::Capabilities& capabilities);
@@ -86,7 +85,6 @@
 nn::GeneralResult<Extension> unvalidatedConvert(const nn::Extension& extension);
 nn::GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
         const nn::Extension::OperandTypeInformation& operandTypeInformation);
-nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle);
 
 nn::GeneralResult<DeviceType> convert(const nn::DeviceType& deviceType);
 nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities);
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index c8e83a2..ef5056b 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -264,14 +264,6 @@
     };
 }
 
-GeneralResult<SharedHandle> unvalidatedConvert(const hidl_handle& hidlHandle) {
-    if (hidlHandle.getNativeHandle() == nullptr) {
-        return nullptr;
-    }
-    auto handle = NN_TRY(hal::utils::sharedHandleFromNativeHandle(hidlHandle.getNativeHandle()));
-    return std::make_shared<const Handle>(std::move(handle));
-}
-
 GeneralResult<DeviceType> convert(const hal::V1_2::DeviceType& deviceType) {
     return validatedConvert(deviceType);
 }
@@ -334,6 +326,10 @@
     return V1_0::utils::unvalidatedConvert(operandValues);
 }
 
+nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
+    return V1_0::utils::unvalidatedConvert(handle);
+}
+
 nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::SharedMemory& memory) {
     return V1_0::utils::unvalidatedConvert(memory);
 }
@@ -544,13 +540,6 @@
     };
 }
 
-nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
-    if (handle == nullptr) {
-        return {};
-    }
-    return hal::utils::hidlHandleFromSharedHandle(*handle);
-}
-
 nn::GeneralResult<DeviceType> convert(const nn::DeviceType& deviceType) {
     return validatedConvert(deviceType);
 }
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
index b677c62..ec1e530 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
@@ -113,6 +113,9 @@
 nn::GeneralResult<V1_2::MeasureTiming> convert(const nn::MeasureTiming& measureTiming);
 nn::GeneralResult<V1_2::Timing> convert(const nn::Timing& timing);
 
+nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
+        const std::vector<nn::SyncFence>& fences);
+
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_CONVERSIONS_H
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 74d8938..c885d60 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -380,7 +380,7 @@
 }
 
 nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
-    return V1_2::utils::unvalidatedConvert(handle);
+    return V1_0::utils::unvalidatedConvert(handle);
 }
 
 nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::SharedMemory& memory) {
@@ -727,4 +727,13 @@
     return V1_2::utils::convert(timing);
 }
 
+nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
+        const std::vector<nn::SyncFence>& syncFences) {
+    std::vector<nn::SharedHandle> handles;
+    handles.reserve(syncFences.size());
+    std::transform(syncFences.begin(), syncFences.end(), std::back_inserter(handles),
+                   [](const nn::SyncFence& syncFence) { return syncFence.getSharedHandle(); });
+    return convert(handles);
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
diff --git a/neuralnetworks/1.3/utils/src/Execution.cpp b/neuralnetworks/1.3/utils/src/Execution.cpp
index 4dc0ddf..467d87d 100644
--- a/neuralnetworks/1.3/utils/src/Execution.cpp
+++ b/neuralnetworks/1.3/utils/src/Execution.cpp
@@ -73,7 +73,7 @@
 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 hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
+    const auto hidlWaitFor = NN_TRY(convertSyncFences(waitFor));
     const auto hidlDeadline = NN_TRY(convert(deadline));
     const auto hidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
     return kPreparedModel->executeFencedInternal(kRequest, hidlWaitFor, kMeasure, hidlDeadline,
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index d5dee9d..c9771e3 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -186,7 +186,7 @@
             &maybeRequestInShared, &relocation));
 
     const auto hidlRequest = NN_TRY(convert(requestInShared));
-    const auto hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
+    const auto hidlWaitFor = NN_TRY(convertSyncFences(waitFor));
     const auto hidlMeasure = NN_TRY(convert(measure));
     const auto hidlDeadline = NN_TRY(convert(deadline));
     const auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
diff --git a/neuralnetworks/utils/common/Android.bp b/neuralnetworks/utils/common/Android.bp
index f88e407..6f07be9 100644
--- a/neuralnetworks/utils/common/Android.bp
+++ b/neuralnetworks/utils/common/Android.bp
@@ -31,19 +31,12 @@
     export_include_dirs: ["include"],
     cflags: ["-Wthread-safety"],
     static_libs: [
-        "libarect",
         "neuralnetworks_types",
     ],
     shared_libs: [
-        "android.hardware.neuralnetworks-V2-ndk",
         "libhidlbase",
         "libbinder_ndk",
     ],
-    target: {
-        android: {
-            shared_libs: ["libnativewindow"],
-        },
-    },
 }
 
 cc_test {
@@ -51,7 +44,6 @@
     host_supported: true,
     srcs: ["test/*.cpp"],
     static_libs: [
-        "android.hardware.neuralnetworks@1.0",
         "libgmock",
         "libneuralnetworks_common",
         "neuralnetworks_types",
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
index 2c5b648..ae0d092 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
@@ -17,8 +17,6 @@
 #ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
 #define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
 
-#include <cutils/native_handle.h>
-#include <hidl/HidlSupport.h>
 #include <nnapi/Result.h>
 #include <nnapi/SharedMemory.h>
 #include <nnapi/Types.h>
@@ -125,15 +123,6 @@
         const nn::Request* request, uint32_t alignment, uint32_t padding,
         std::optional<nn::Request>* maybeRequestInSharedOut, RequestRelocation* relocationOut);
 
-nn::GeneralResult<hidl_memory> createHidlMemoryFromSharedMemory(const nn::SharedMemory& memory);
-nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const hidl_memory& memory);
-
-nn::GeneralResult<hidl_handle> hidlHandleFromSharedHandle(const nn::Handle& handle);
-nn::GeneralResult<nn::Handle> sharedHandleFromNativeHandle(const native_handle_t* handle);
-
-nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
-        const std::vector<nn::SyncFence>& fences);
-
 }  // namespace android::hardware::neuralnetworks::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
index b4fbfa7..b66fbd1 100644
--- a/neuralnetworks/utils/common/src/CommonUtils.cpp
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -19,8 +19,6 @@
 #include "HandleError.h"
 
 #include <android-base/logging.h>
-#include <android-base/unique_fd.h>
-#include <hidl/HidlSupport.h>
 #include <nnapi/Result.h>
 #include <nnapi/SharedMemory.h>
 #include <nnapi/TypeUtils.h>
@@ -34,11 +32,6 @@
 #include <variant>
 #include <vector>
 
-#ifdef __ANDROID__
-#include <android/hardware_buffer.h>
-#include <vndk/hardware_buffer.h>
-#endif  // __ANDROID__
-
 namespace android::hardware::neuralnetworks::utils {
 namespace {
 
@@ -92,97 +85,6 @@
                   });
 }
 
-nn::GeneralResult<hidl_handle> createNativeHandleFrom(std::vector<base::unique_fd> fds,
-                                                      const std::vector<int32_t>& ints) {
-    constexpr size_t kIntMax = std::numeric_limits<int>::max();
-    CHECK_LE(fds.size(), kIntMax);
-    CHECK_LE(ints.size(), kIntMax);
-    native_handle_t* nativeHandle =
-            native_handle_create(static_cast<int>(fds.size()), static_cast<int>(ints.size()));
-    if (nativeHandle == nullptr) {
-        return NN_ERROR() << "Failed to create native_handle";
-    }
-
-    for (size_t i = 0; i < fds.size(); ++i) {
-        nativeHandle->data[i] = fds[i].release();
-    }
-    std::copy(ints.begin(), ints.end(), nativeHandle->data + nativeHandle->numFds);
-
-    hidl_handle handle;
-    handle.setTo(nativeHandle, /*shouldOwn=*/true);
-    return handle;
-}
-
-nn::GeneralResult<hidl_handle> createNativeHandleFrom(base::unique_fd fd,
-                                                      const std::vector<int32_t>& ints) {
-    std::vector<base::unique_fd> fds;
-    fds.push_back(std::move(fd));
-    return createNativeHandleFrom(std::move(fds), ints);
-}
-
-nn::GeneralResult<hidl_handle> createNativeHandleFrom(const nn::Memory::Unknown::Handle& handle) {
-    std::vector<base::unique_fd> fds = NN_TRY(nn::dupFds(handle.fds.begin(), handle.fds.end()));
-    return createNativeHandleFrom(std::move(fds), handle.ints);
-}
-
-nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Ashmem& memory) {
-    auto fd = NN_TRY(nn::dupFd(memory.fd));
-    auto handle = NN_TRY(createNativeHandleFrom(std::move(fd), {}));
-    return hidl_memory("ashmem", std::move(handle), memory.size);
-}
-
-nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Fd& memory) {
-    auto fd = NN_TRY(nn::dupFd(memory.fd));
-
-    const auto [lowOffsetBits, highOffsetBits] = nn::getIntsFromOffset(memory.offset);
-    const std::vector<int> ints = {memory.prot, lowOffsetBits, highOffsetBits};
-
-    auto handle = NN_TRY(createNativeHandleFrom(std::move(fd), ints));
-    return hidl_memory("mmap_fd", std::move(handle), memory.size);
-}
-
-nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::HardwareBuffer& memory) {
-#ifdef __ANDROID__
-    const auto* ahwb = memory.handle.get();
-    AHardwareBuffer_Desc bufferDesc;
-    AHardwareBuffer_describe(ahwb, &bufferDesc);
-
-    const bool isBlob = bufferDesc.format == AHARDWAREBUFFER_FORMAT_BLOB;
-    const size_t size = isBlob ? bufferDesc.width : 0;
-    const char* const name = isBlob ? "hardware_buffer_blob" : "hardware_buffer";
-
-    const native_handle_t* nativeHandle = AHardwareBuffer_getNativeHandle(ahwb);
-    const hidl_handle hidlHandle(nativeHandle);
-    hidl_handle copiedHandle(hidlHandle);
-
-    return hidl_memory(name, std::move(copiedHandle), size);
-#else   // __ANDROID__
-    LOG(FATAL) << "nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const "
-                  "nn::Memory::HardwareBuffer& memory): Not Available on Host Build";
-    (void)memory;
-    return (NN_ERROR() << "createHidlMemoryFrom failed").operator nn::GeneralResult<hidl_memory>();
-#endif  // __ANDROID__
-}
-
-nn::GeneralResult<hidl_memory> createHidlMemoryFrom(const nn::Memory::Unknown& memory) {
-    return hidl_memory(memory.name, NN_TRY(createNativeHandleFrom(memory.handle)), memory.size);
-}
-
-nn::GeneralResult<nn::Memory::Unknown::Handle> unknownHandleFromNativeHandle(
-        const native_handle_t* handle) {
-    if (handle == nullptr) {
-        return NN_ERROR() << "unknownHandleFromNativeHandle failed because handle is nullptr";
-    }
-
-    std::vector<base::unique_fd> fds =
-            NN_TRY(nn::dupFds(handle->data + 0, handle->data + handle->numFds));
-
-    std::vector<int> ints(handle->data + handle->numFds,
-                          handle->data + handle->numFds + handle->numInts);
-
-    return nn::Memory::Unknown::Handle{.fds = std::move(fds), .ints = std::move(ints)};
-}
-
 }  // anonymous namespace
 
 nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
@@ -331,142 +233,4 @@
     return **maybeRequestInSharedOut;
 }
 
-nn::GeneralResult<hidl_memory> createHidlMemoryFromSharedMemory(const nn::SharedMemory& memory) {
-    if (memory == nullptr) {
-        return NN_ERROR() << "Memory must be non-empty";
-    }
-    return std::visit([](const auto& x) { return createHidlMemoryFrom(x); }, memory->handle);
-}
-
-#ifdef __ANDROID__
-static uint32_t roundUpToMultiple(uint32_t value, uint32_t multiple) {
-    return (value + multiple - 1) / multiple * multiple;
-}
-#endif  // __ANDROID__
-
-nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const hidl_memory& memory) {
-    CHECK_LE(memory.size(), std::numeric_limits<size_t>::max());
-    if (!memory.valid()) {
-        return NN_ERROR() << "Unable to convert invalid hidl_memory";
-    }
-
-    if (memory.name() == "ashmem") {
-        if (memory.handle()->numFds != 1) {
-            return NN_ERROR() << "Unable to convert invalid ashmem memory object with "
-                              << memory.handle()->numFds << " numFds, but expected 1";
-        }
-        if (memory.handle()->numInts != 0) {
-            return NN_ERROR() << "Unable to convert invalid ashmem memory object with "
-                              << memory.handle()->numInts << " numInts, but expected 0";
-        }
-        auto handle = nn::Memory::Ashmem{
-                .fd = NN_TRY(nn::dupFd(memory.handle()->data[0])),
-                .size = static_cast<size_t>(memory.size()),
-        };
-        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
-    }
-
-    if (memory.name() == "mmap_fd") {
-        if (memory.handle()->numFds != 1) {
-            return NN_ERROR() << "Unable to convert invalid mmap_fd memory object with "
-                              << memory.handle()->numFds << " numFds, but expected 1";
-        }
-        if (memory.handle()->numInts != 3) {
-            return NN_ERROR() << "Unable to convert invalid mmap_fd memory object with "
-                              << memory.handle()->numInts << " numInts, but expected 3";
-        }
-
-        const int fd = memory.handle()->data[0];
-        const int prot = memory.handle()->data[1];
-        const int lower = memory.handle()->data[2];
-        const int higher = memory.handle()->data[3];
-        const size_t offset = nn::getOffsetFromInts(lower, higher);
-
-        return nn::createSharedMemoryFromFd(static_cast<size_t>(memory.size()), prot, fd, offset);
-    }
-
-    if (memory.name() != "hardware_buffer_blob") {
-        auto handle = nn::Memory::Unknown{
-                .handle = NN_TRY(unknownHandleFromNativeHandle(memory.handle())),
-                .size = static_cast<size_t>(memory.size()),
-                .name = memory.name(),
-        };
-        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
-    }
-
-#ifdef __ANDROID__
-    const auto size = memory.size();
-    const auto format = AHARDWAREBUFFER_FORMAT_BLOB;
-    const auto usage = AHARDWAREBUFFER_USAGE_CPU_READ_OFTEN | AHARDWAREBUFFER_USAGE_CPU_WRITE_OFTEN;
-    const uint32_t width = size;
-    const uint32_t height = 1;  // height is always 1 for BLOB mode AHardwareBuffer.
-    const uint32_t layers = 1;  // layers is always 1 for BLOB mode AHardwareBuffer.
-
-    // AHardwareBuffer_createFromHandle() might fail because an allocator
-    // expects a specific stride value. In that case, we try to guess it by
-    // aligning the width to small powers of 2.
-    // TODO(b/174120849): Avoid stride assumptions.
-    AHardwareBuffer* hardwareBuffer = nullptr;
-    status_t status = UNKNOWN_ERROR;
-    for (uint32_t alignment : {1, 4, 32, 64, 128, 2, 8, 16}) {
-        const uint32_t stride = roundUpToMultiple(width, alignment);
-        AHardwareBuffer_Desc desc{
-                .width = width,
-                .height = height,
-                .layers = layers,
-                .format = format,
-                .usage = usage,
-                .stride = stride,
-        };
-        status = AHardwareBuffer_createFromHandle(&desc, memory.handle(),
-                                                  AHARDWAREBUFFER_CREATE_FROM_HANDLE_METHOD_CLONE,
-                                                  &hardwareBuffer);
-        if (status == NO_ERROR) {
-            break;
-        }
-    }
-    if (status != NO_ERROR) {
-        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-               << "Can't create AHardwareBuffer from handle. Error: " << status;
-    }
-
-    return nn::createSharedMemoryFromAHWB(hardwareBuffer, /*takeOwnership=*/true);
-#else   // __ANDROID__
-    LOG(FATAL) << "nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const "
-                  "hidl_memory& memory): Not Available on Host Build";
-    return (NN_ERROR() << "createSharedMemoryFromHidlMemory failed")
-            .
-            operator nn::GeneralResult<nn::SharedMemory>();
-#endif  // __ANDROID__
-}
-
-nn::GeneralResult<hidl_handle> hidlHandleFromSharedHandle(const nn::Handle& handle) {
-    base::unique_fd fd = NN_TRY(nn::dupFd(handle.get()));
-    return createNativeHandleFrom(std::move(fd), {});
-}
-
-nn::GeneralResult<nn::Handle> sharedHandleFromNativeHandle(const native_handle_t* handle) {
-    if (handle == nullptr) {
-        return NN_ERROR() << "sharedHandleFromNativeHandle failed because handle is nullptr";
-    }
-    if (handle->numFds != 1 || handle->numInts != 0) {
-        return NN_ERROR() << "sharedHandleFromNativeHandle failed because handle does not only "
-                             "hold a single fd";
-    }
-    return nn::dupFd(handle->data[0]);
-}
-
-nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
-        const std::vector<nn::SyncFence>& syncFences) {
-    hidl_vec<hidl_handle> handles(syncFences.size());
-    for (size_t i = 0; i < syncFences.size(); ++i) {
-        const auto& handle = syncFences[i].getSharedHandle();
-        if (handle == nullptr) {
-            return NN_ERROR() << "convertSyncFences failed because sync fence is empty";
-        }
-        handles[i] = NN_TRY(hidlHandleFromSharedHandle(*handle));
-    }
-    return handles;
-}
-
 }  // namespace android::hardware::neuralnetworks::utils