Add canonical types adapters for NNAPI AIDL interface
Also:
* Add missing AIDL<->CT conversions
* Add AIDL-specific info to neuralnetworks/utils/README.md
* Add mock classes and tests AIDL adapters
Bug: 179015258
Test: neuralnetworks_utils_hal_test
Change-Id: Ifa98fadd46dca5dbf9b3ceb4da811aa8da45b6e4
Merged-In: Ifa98fadd46dca5dbf9b3ceb4da811aa8da45b6e4
(cherry picked from commit 3b93b0b56a4f5128eaa942d804dd490317c0abcb)
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index db3504b..5d9c55b 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -18,6 +18,8 @@
#include <aidl/android/hardware/common/NativeHandle.h>
#include <android-base/logging.h>
+#include <android-base/unique_fd.h>
+#include <android/binder_auto_utils.h>
#include <android/hardware_buffer.h>
#include <cutils/native_handle.h>
#include <nnapi/OperandTypes.h>
@@ -42,14 +44,17 @@
#define VERIFY_NON_NEGATIVE(value) \
while (UNLIKELY(value < 0)) return NN_ERROR()
-namespace {
+#define VERIFY_LE_INT32_MAX(value) \
+ while (UNLIKELY(value > std::numeric_limits<int32_t>::max())) return NN_ERROR()
+namespace {
template <typename Type>
constexpr std::underlying_type_t<Type> underlyingType(Type value) {
return static_cast<std::underlying_type_t<Type>>(value);
}
constexpr auto kVersion = android::nn::Version::ANDROID_S;
+constexpr int64_t kNoTiming = -1;
} // namespace
@@ -134,13 +139,8 @@
std::vector<base::unique_fd> fds;
fds.reserve(aidlNativeHandle.fds.size());
for (const auto& fd : aidlNativeHandle.fds) {
- const int dupFd = dup(fd.get());
- if (dupFd == -1) {
- // TODO(b/120417090): is ANEURALNETWORKS_UNEXPECTED_NULL the correct error to return
- // here?
- return NN_ERROR() << "Failed to dup the fd";
- }
- fds.emplace_back(dupFd);
+ auto duplicatedFd = NN_TRY(dupFd(fd.get()));
+ fds.emplace_back(duplicatedFd.release());
}
return Handle{.fds = std::move(fds), .ints = aidlNativeHandle.ints};
@@ -157,16 +157,12 @@
using UniqueNativeHandle = std::unique_ptr<native_handle_t, NativeHandleDeleter>;
-static nn::GeneralResult<UniqueNativeHandle> nativeHandleFromAidlHandle(
- const NativeHandle& handle) {
+static GeneralResult<UniqueNativeHandle> nativeHandleFromAidlHandle(const NativeHandle& handle) {
std::vector<base::unique_fd> fds;
fds.reserve(handle.fds.size());
for (const auto& fd : handle.fds) {
- const int dupFd = dup(fd.get());
- if (dupFd == -1) {
- return NN_ERROR() << "Failed to dup the fd";
- }
- fds.emplace_back(dupFd);
+ auto duplicatedFd = NN_TRY(dupFd(fd.get()));
+ fds.emplace_back(duplicatedFd.release());
}
constexpr size_t kIntMax = std::numeric_limits<int>::max();
@@ -382,14 +378,14 @@
GeneralResult<SharedMemory> unvalidatedConvert(const aidl_hal::Memory& memory) {
VERIFY_NON_NEGATIVE(memory.size) << "Memory size must not be negative";
- if (memory.size > std::numeric_limits<uint32_t>::max()) {
+ if (memory.size > std::numeric_limits<size_t>::max()) {
return NN_ERROR() << "Memory: size must be <= std::numeric_limits<size_t>::max()";
}
if (memory.name != "hardware_buffer_blob") {
return std::make_shared<const Memory>(Memory{
.handle = NN_TRY(unvalidatedConvertHelper(memory.handle)),
- .size = static_cast<uint32_t>(memory.size),
+ .size = static_cast<size_t>(memory.size),
.name = memory.name,
});
}
@@ -434,11 +430,28 @@
return std::make_shared<const Memory>(Memory{
.handle = HardwareBufferHandle(hardwareBuffer, /*takeOwnership=*/true),
- .size = static_cast<uint32_t>(memory.size),
+ .size = static_cast<size_t>(memory.size),
.name = memory.name,
});
}
+GeneralResult<Timing> unvalidatedConvert(const aidl_hal::Timing& timing) {
+ if (timing.timeInDriver < -1) {
+ return NN_ERROR() << "Timing: timeInDriver must not be less than -1";
+ }
+ if (timing.timeOnDevice < -1) {
+ return NN_ERROR() << "Timing: timeOnDevice must not be less than -1";
+ }
+ constexpr auto convertTiming = [](int64_t halTiming) -> OptionalDuration {
+ if (halTiming == kNoTiming) {
+ return {};
+ }
+ return nn::Duration(static_cast<uint64_t>(halTiming));
+ };
+ return Timing{.timeOnDevice = convertTiming(timing.timeOnDevice),
+ .timeInDriver = convertTiming(timing.timeInDriver)};
+}
+
GeneralResult<Model::OperandValues> unvalidatedConvert(const std::vector<uint8_t>& operandValues) {
return Model::OperandValues(operandValues.data(), operandValues.size());
}
@@ -515,6 +528,23 @@
return std::make_shared<const Handle>(NN_TRY(unvalidatedConvertHelper(aidlNativeHandle)));
}
+GeneralResult<SyncFence> unvalidatedConvert(const ndk::ScopedFileDescriptor& syncFence) {
+ auto duplicatedFd = NN_TRY(dupFd(syncFence.get()));
+ return SyncFence::create(std::move(duplicatedFd));
+}
+
+GeneralResult<Capabilities> convert(const aidl_hal::Capabilities& capabilities) {
+ return validatedConvert(capabilities);
+}
+
+GeneralResult<DeviceType> convert(const aidl_hal::DeviceType& deviceType) {
+ return validatedConvert(deviceType);
+}
+
+GeneralResult<ErrorStatus> convert(const aidl_hal::ErrorStatus& errorStatus) {
+ return validatedConvert(errorStatus);
+}
+
GeneralResult<ExecutionPreference> convert(
const aidl_hal::ExecutionPreference& executionPreference) {
return validatedConvert(executionPreference);
@@ -548,6 +578,18 @@
return validatedConvert(request);
}
+GeneralResult<Timing> convert(const aidl_hal::Timing& timing) {
+ return validatedConvert(timing);
+}
+
+GeneralResult<SyncFence> convert(const ndk::ScopedFileDescriptor& syncFence) {
+ return unvalidatedConvert(syncFence);
+}
+
+GeneralResult<std::vector<Extension>> convert(const std::vector<aidl_hal::Extension>& extension) {
+ return validatedConvert(extension);
+}
+
GeneralResult<std::vector<Operation>> convert(const std::vector<aidl_hal::Operation>& operations) {
return unvalidatedConvert(operations);
}
@@ -556,6 +598,11 @@
return validatedConvert(memories);
}
+GeneralResult<std::vector<OutputShape>> convert(
+ const std::vector<aidl_hal::OutputShape>& outputShapes) {
+ return validatedConvert(outputShapes);
+}
+
GeneralResult<std::vector<uint32_t>> toUnsigned(const std::vector<int32_t>& vec) {
if (!std::all_of(vec.begin(), vec.end(), [](int32_t v) { return v >= 0; })) {
return NN_ERROR() << "Negative value passed to conversion from signed to unsigned";
@@ -575,14 +622,21 @@
template <typename Type>
nn::GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
const std::vector<Type>& arguments) {
- std::vector<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
- for (size_t i = 0; i < arguments.size(); ++i) {
- halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
+ std::vector<UnvalidatedConvertOutput<Type>> halObject;
+ halObject.reserve(arguments.size());
+ for (const auto& argument : arguments) {
+ halObject.push_back(NN_TRY(unvalidatedConvert(argument)));
}
return halObject;
}
template <typename Type>
+nn::GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
+ const std::vector<Type>& arguments) {
+ return unvalidatedConvertVec(arguments);
+}
+
+template <typename Type>
nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
const auto maybeVersion = nn::validate(canonical);
if (!maybeVersion.has_value()) {
@@ -609,29 +663,29 @@
common::NativeHandle aidlNativeHandle;
aidlNativeHandle.fds.reserve(handle.fds.size());
for (const auto& fd : handle.fds) {
- const int dupFd = dup(fd.get());
- if (dupFd == -1) {
- // TODO(b/120417090): is ANEURALNETWORKS_UNEXPECTED_NULL the correct error to return
- // here?
- return NN_ERROR() << "Failed to dup the fd";
- }
- aidlNativeHandle.fds.emplace_back(dupFd);
+ auto duplicatedFd = NN_TRY(nn::dupFd(fd.get()));
+ aidlNativeHandle.fds.emplace_back(duplicatedFd.release());
}
aidlNativeHandle.ints = handle.ints;
return aidlNativeHandle;
}
+// Helper template for std::visit
+template <class... Ts>
+struct overloaded : Ts... {
+ using Ts::operator()...;
+};
+template <class... Ts>
+overloaded(Ts...)->overloaded<Ts...>;
+
static nn::GeneralResult<common::NativeHandle> aidlHandleFromNativeHandle(
const native_handle_t& handle) {
common::NativeHandle aidlNativeHandle;
aidlNativeHandle.fds.reserve(handle.numFds);
for (int i = 0; i < handle.numFds; ++i) {
- const int dupFd = dup(handle.data[i]);
- if (dupFd == -1) {
- return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "Failed to dup the fd";
- }
- aidlNativeHandle.fds.emplace_back(dupFd);
+ auto duplicatedFd = NN_TRY(nn::dupFd(handle.data[i]));
+ aidlNativeHandle.fds.emplace_back(duplicatedFd.release());
}
aidlNativeHandle.ints = std::vector<int>(&handle.data[handle.numFds],
@@ -642,6 +696,30 @@
} // namespace
+nn::GeneralResult<std::vector<uint8_t>> unvalidatedConvert(const nn::CacheToken& cacheToken) {
+ return std::vector<uint8_t>(cacheToken.begin(), cacheToken.end());
+}
+
+nn::GeneralResult<BufferDesc> unvalidatedConvert(const nn::BufferDesc& bufferDesc) {
+ return BufferDesc{.dimensions = NN_TRY(toSigned(bufferDesc.dimensions))};
+}
+
+nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRole) {
+ VERIFY_LE_INT32_MAX(bufferRole.modelIndex)
+ << "BufferRole: modelIndex must be <= std::numeric_limits<int32_t>::max()";
+ VERIFY_LE_INT32_MAX(bufferRole.ioIndex)
+ << "BufferRole: ioIndex must be <= std::numeric_limits<int32_t>::max()";
+ return BufferRole{
+ .modelIndex = static_cast<int32_t>(bufferRole.modelIndex),
+ .ioIndex = static_cast<int32_t>(bufferRole.ioIndex),
+ .frequency = bufferRole.frequency,
+ };
+}
+
+nn::GeneralResult<bool> unvalidatedConvert(const nn::MeasureTiming& measureTiming) {
+ return measureTiming == nn::MeasureTiming::YES;
+}
+
nn::GeneralResult<common::NativeHandle> unvalidatedConvert(const nn::SharedHandle& sharedHandle) {
CHECK(sharedHandle != nullptr);
return unvalidatedConvert(*sharedHandle);
@@ -707,6 +785,230 @@
.isSufficient = outputShape.isSufficient};
}
+nn::GeneralResult<ExecutionPreference> unvalidatedConvert(
+ const nn::ExecutionPreference& executionPreference) {
+ return static_cast<ExecutionPreference>(executionPreference);
+}
+
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
+ return static_cast<OperandType>(operandType);
+}
+
+nn::GeneralResult<OperandLifeTime> unvalidatedConvert(
+ const nn::Operand::LifeTime& operandLifeTime) {
+ return static_cast<OperandLifeTime>(operandLifeTime);
+}
+
+nn::GeneralResult<DataLocation> unvalidatedConvert(const nn::DataLocation& location) {
+ VERIFY_LE_INT32_MAX(location.poolIndex)
+ << "DataLocation: pool index must be <= std::numeric_limits<int32_t>::max()";
+ return DataLocation{
+ .poolIndex = static_cast<int32_t>(location.poolIndex),
+ .offset = static_cast<int64_t>(location.offset),
+ .length = static_cast<int64_t>(location.length),
+ };
+}
+
+nn::GeneralResult<std::optional<OperandExtraParams>> unvalidatedConvert(
+ const nn::Operand::ExtraParams& extraParams) {
+ return std::visit(
+ overloaded{
+ [](const nn::Operand::NoParams&)
+ -> nn::GeneralResult<std::optional<OperandExtraParams>> {
+ return std::nullopt;
+ },
+ [](const nn::Operand::SymmPerChannelQuantParams& symmPerChannelQuantParams)
+ -> nn::GeneralResult<std::optional<OperandExtraParams>> {
+ if (symmPerChannelQuantParams.channelDim >
+ std::numeric_limits<int32_t>::max()) {
+ // Using explicit type conversion because std::optional in successful
+ // result confuses the compiler.
+ return (NN_ERROR() << "symmPerChannelQuantParams.channelDim must be <= "
+ "std::numeric_limits<int32_t>::max(), received: "
+ << symmPerChannelQuantParams.channelDim)
+ .
+ operator nn::GeneralResult<std::optional<OperandExtraParams>>();
+ }
+ return OperandExtraParams::make<OperandExtraParams::Tag::channelQuant>(
+ SymmPerChannelQuantParams{
+ .scales = symmPerChannelQuantParams.scales,
+ .channelDim = static_cast<int32_t>(
+ symmPerChannelQuantParams.channelDim),
+ });
+ },
+ [](const nn::Operand::ExtensionParams& extensionParams)
+ -> nn::GeneralResult<std::optional<OperandExtraParams>> {
+ return OperandExtraParams::make<OperandExtraParams::Tag::extension>(
+ extensionParams);
+ },
+ },
+ extraParams);
+}
+
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
+ return Operand{
+ .type = NN_TRY(unvalidatedConvert(operand.type)),
+ .dimensions = NN_TRY(toSigned(operand.dimensions)),
+ .scale = operand.scale,
+ .zeroPoint = operand.zeroPoint,
+ .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+ .location = NN_TRY(unvalidatedConvert(operand.location)),
+ .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+ };
+}
+
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
+ return static_cast<OperationType>(operationType);
+}
+
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+ return Operation{
+ .type = NN_TRY(unvalidatedConvert(operation.type)),
+ .inputs = NN_TRY(toSigned(operation.inputs)),
+ .outputs = NN_TRY(toSigned(operation.outputs)),
+ };
+}
+
+nn::GeneralResult<Subgraph> unvalidatedConvert(const nn::Model::Subgraph& subgraph) {
+ return Subgraph{
+ .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
+ .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
+ .inputIndexes = NN_TRY(toSigned(subgraph.inputIndexes)),
+ .outputIndexes = NN_TRY(toSigned(subgraph.outputIndexes)),
+ };
+}
+
+nn::GeneralResult<std::vector<uint8_t>> unvalidatedConvert(
+ const nn::Model::OperandValues& operandValues) {
+ return std::vector<uint8_t>(operandValues.data(), operandValues.data() + operandValues.size());
+}
+
+nn::GeneralResult<ExtensionNameAndPrefix> unvalidatedConvert(
+ const nn::Model::ExtensionNameAndPrefix& extensionNameToPrefix) {
+ return ExtensionNameAndPrefix{
+ .name = extensionNameToPrefix.name,
+ .prefix = extensionNameToPrefix.prefix,
+ };
+}
+
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
+ return Model{
+ .main = NN_TRY(unvalidatedConvert(model.main)),
+ .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
+ .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+ .pools = NN_TRY(unvalidatedConvert(model.pools)),
+ .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
+ .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+ };
+}
+
+nn::GeneralResult<Priority> unvalidatedConvert(const nn::Priority& priority) {
+ return static_cast<Priority>(priority);
+}
+
+nn::GeneralResult<Request> unvalidatedConvert(const nn::Request& request) {
+ return Request{
+ .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+ .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+ .pools = NN_TRY(unvalidatedConvert(request.pools)),
+ };
+}
+
+nn::GeneralResult<RequestArgument> unvalidatedConvert(
+ const nn::Request::Argument& requestArgument) {
+ if (requestArgument.lifetime == nn::Request::Argument::LifeTime::POINTER) {
+ return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+ << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
+ }
+ const bool hasNoValue = requestArgument.lifetime == nn::Request::Argument::LifeTime::NO_VALUE;
+ return RequestArgument{
+ .hasNoValue = hasNoValue,
+ .location = NN_TRY(unvalidatedConvert(requestArgument.location)),
+ .dimensions = NN_TRY(toSigned(requestArgument.dimensions)),
+ };
+}
+
+nn::GeneralResult<RequestMemoryPool> unvalidatedConvert(const nn::Request::MemoryPool& memoryPool) {
+ return std::visit(
+ overloaded{
+ [](const nn::SharedMemory& memory) -> nn::GeneralResult<RequestMemoryPool> {
+ return RequestMemoryPool::make<RequestMemoryPool::Tag::pool>(
+ NN_TRY(unvalidatedConvert(memory)));
+ },
+ [](const nn::Request::MemoryDomainToken& token)
+ -> nn::GeneralResult<RequestMemoryPool> {
+ return RequestMemoryPool::make<RequestMemoryPool::Tag::token>(
+ underlyingType(token));
+ },
+ [](const nn::SharedBuffer& /*buffer*/) {
+ return (NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+ << "Unable to make memory pool from IBuffer")
+ .
+ operator nn::GeneralResult<RequestMemoryPool>();
+ },
+ },
+ memoryPool);
+}
+
+nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing) {
+ return Timing{
+ .timeOnDevice = NN_TRY(unvalidatedConvert(timing.timeOnDevice)),
+ .timeInDriver = NN_TRY(unvalidatedConvert(timing.timeInDriver)),
+ };
+}
+
+nn::GeneralResult<int64_t> unvalidatedConvert(const nn::Duration& duration) {
+ const uint64_t nanoseconds = duration.count();
+ if (nanoseconds > std::numeric_limits<int64_t>::max()) {
+ return std::numeric_limits<int64_t>::max();
+ }
+ return static_cast<int64_t>(nanoseconds);
+}
+
+nn::GeneralResult<int64_t> unvalidatedConvert(const nn::OptionalDuration& optionalDuration) {
+ if (!optionalDuration.has_value()) {
+ return kNoTiming;
+ }
+ return unvalidatedConvert(optionalDuration.value());
+}
+
+nn::GeneralResult<int64_t> unvalidatedConvert(const nn::OptionalTimePoint& optionalTimePoint) {
+ if (!optionalTimePoint.has_value()) {
+ return kNoTiming;
+ }
+ return unvalidatedConvert(optionalTimePoint->time_since_epoch());
+}
+
+nn::GeneralResult<ndk::ScopedFileDescriptor> unvalidatedConvert(const nn::SyncFence& syncFence) {
+ auto duplicatedFd = NN_TRY(nn::dupFd(syncFence.getFd()));
+ return ndk::ScopedFileDescriptor(duplicatedFd.release());
+}
+
+nn::GeneralResult<ndk::ScopedFileDescriptor> unvalidatedConvertCache(
+ const nn::SharedHandle& handle) {
+ if (handle->ints.size() != 0) {
+ NN_ERROR() << "Cache handle must not contain ints";
+ }
+ if (handle->fds.size() != 1) {
+ NN_ERROR() << "Cache handle must contain exactly one fd but contains "
+ << handle->fds.size();
+ }
+ auto duplicatedFd = NN_TRY(nn::dupFd(handle->fds.front().get()));
+ return ndk::ScopedFileDescriptor(duplicatedFd.release());
+}
+
+nn::GeneralResult<std::vector<uint8_t>> convert(const nn::CacheToken& cacheToken) {
+ return unvalidatedConvert(cacheToken);
+}
+
+nn::GeneralResult<BufferDesc> convert(const nn::BufferDesc& bufferDesc) {
+ return validatedConvert(bufferDesc);
+}
+
+nn::GeneralResult<bool> convert(const nn::MeasureTiming& measureTiming) {
+ return validatedConvert(measureTiming);
+}
+
nn::GeneralResult<Memory> convert(const nn::SharedMemory& memory) {
return validatedConvert(memory);
}
@@ -715,11 +1017,62 @@
return validatedConvert(errorStatus);
}
+nn::GeneralResult<ExecutionPreference> convert(const nn::ExecutionPreference& executionPreference) {
+ return validatedConvert(executionPreference);
+}
+
+nn::GeneralResult<Model> convert(const nn::Model& model) {
+ return validatedConvert(model);
+}
+
+nn::GeneralResult<Priority> convert(const nn::Priority& priority) {
+ return validatedConvert(priority);
+}
+
+nn::GeneralResult<Request> convert(const nn::Request& request) {
+ return validatedConvert(request);
+}
+
+nn::GeneralResult<Timing> convert(const nn::Timing& timing) {
+ return validatedConvert(timing);
+}
+
+nn::GeneralResult<int64_t> convert(const nn::OptionalDuration& optionalDuration) {
+ return validatedConvert(optionalDuration);
+}
+
+nn::GeneralResult<int64_t> convert(const nn::OptionalTimePoint& outputShapes) {
+ return validatedConvert(outputShapes);
+}
+
+nn::GeneralResult<std::vector<BufferRole>> convert(const std::vector<nn::BufferRole>& bufferRoles) {
+ return validatedConvert(bufferRoles);
+}
+
nn::GeneralResult<std::vector<OutputShape>> convert(
const std::vector<nn::OutputShape>& outputShapes) {
return validatedConvert(outputShapes);
}
+nn::GeneralResult<std::vector<ndk::ScopedFileDescriptor>> convert(
+ const std::vector<nn::SharedHandle>& cacheHandles) {
+ const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(cacheHandles)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ std::vector<ndk::ScopedFileDescriptor> cacheFds;
+ cacheFds.reserve(cacheHandles.size());
+ for (const auto& cacheHandle : cacheHandles) {
+ cacheFds.push_back(NN_TRY(unvalidatedConvertCache(cacheHandle)));
+ }
+ return cacheFds;
+}
+
+nn::GeneralResult<std::vector<ndk::ScopedFileDescriptor>> convert(
+ const std::vector<nn::SyncFence>& syncFences) {
+ return unvalidatedConvert(syncFences);
+}
+
nn::GeneralResult<std::vector<int32_t>> toSigned(const std::vector<uint32_t>& vec) {
if (!std::all_of(vec.begin(), vec.end(),
[](uint32_t v) { return v <= std::numeric_limits<int32_t>::max(); })) {