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 fb77cb2..d3d933b 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
@@ -24,20 +24,28 @@
 
 namespace android::nn {
 
-GeneralResult<OperandType> convert(const hal::V1_0::OperandType& operandType);
-GeneralResult<OperationType> convert(const hal::V1_0::OperationType& operationType);
-GeneralResult<Operand::LifeTime> convert(const hal::V1_0::OperandLifeTime& lifetime);
-GeneralResult<DeviceStatus> convert(const hal::V1_0::DeviceStatus& deviceStatus);
-GeneralResult<Capabilities::PerformanceInfo> convert(
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_0::OperandType& operandType);
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_0::OperationType& operationType);
+GeneralResult<Operand::LifeTime> unvalidatedConvert(const hal::V1_0::OperandLifeTime& lifetime);
+GeneralResult<DeviceStatus> unvalidatedConvert(const hal::V1_0::DeviceStatus& deviceStatus);
+GeneralResult<Capabilities::PerformanceInfo> unvalidatedConvert(
         const hal::V1_0::PerformanceInfo& performanceInfo);
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_0::Capabilities& capabilities);
+GeneralResult<DataLocation> unvalidatedConvert(const hal::V1_0::DataLocation& location);
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_0::Operand& operand);
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_0::Operation& operation);
+GeneralResult<Model::OperandValues> unvalidatedConvert(
+        const hardware::hidl_vec<uint8_t>& operandValues);
+GeneralResult<Memory> unvalidatedConvert(const hardware::hidl_memory& memory);
+GeneralResult<Model> unvalidatedConvert(const hal::V1_0::Model& model);
+GeneralResult<Request::Argument> unvalidatedConvert(
+        const hal::V1_0::RequestArgument& requestArgument);
+GeneralResult<Request> unvalidatedConvert(const hal::V1_0::Request& request);
+GeneralResult<ErrorStatus> unvalidatedConvert(const hal::V1_0::ErrorStatus& status);
+
+GeneralResult<DeviceStatus> convert(const hal::V1_0::DeviceStatus& deviceStatus);
 GeneralResult<Capabilities> convert(const hal::V1_0::Capabilities& capabilities);
-GeneralResult<DataLocation> convert(const hal::V1_0::DataLocation& location);
-GeneralResult<Operand> convert(const hal::V1_0::Operand& operand);
-GeneralResult<Operation> convert(const hal::V1_0::Operation& operation);
-GeneralResult<Model::OperandValues> convert(const hardware::hidl_vec<uint8_t>& operandValues);
-GeneralResult<Memory> convert(const hardware::hidl_memory& memory);
 GeneralResult<Model> convert(const hal::V1_0::Model& model);
-GeneralResult<Request::Argument> convert(const hal::V1_0::RequestArgument& requestArgument);
 GeneralResult<Request> convert(const hal::V1_0::Request& request);
 GeneralResult<ErrorStatus> convert(const hal::V1_0::ErrorStatus& status);
 
@@ -45,21 +53,28 @@
 
 namespace android::hardware::neuralnetworks::V1_0::utils {
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType);
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType);
-nn::GeneralResult<OperandLifeTime> convert(const nn::Operand::LifeTime& lifetime);
-nn::GeneralResult<DeviceStatus> convert(const nn::DeviceStatus& deviceStatus);
-nn::GeneralResult<PerformanceInfo> convert(
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType);
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType);
+nn::GeneralResult<OperandLifeTime> unvalidatedConvert(const nn::Operand::LifeTime& lifetime);
+nn::GeneralResult<DeviceStatus> unvalidatedConvert(const nn::DeviceStatus& deviceStatus);
+nn::GeneralResult<PerformanceInfo> unvalidatedConvert(
         const nn::Capabilities::PerformanceInfo& performanceInfo);
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities);
+nn::GeneralResult<DataLocation> unvalidatedConvert(const nn::DataLocation& location);
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand);
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation);
+nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
+        const nn::Model::OperandValues& operandValues);
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Memory& memory);
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
+nn::GeneralResult<RequestArgument> unvalidatedConvert(const nn::Request::Argument& requestArgument);
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Request::MemoryPool& memoryPool);
+nn::GeneralResult<Request> unvalidatedConvert(const nn::Request& request);
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& status);
+
+nn::GeneralResult<DeviceStatus> convert(const nn::DeviceStatus& deviceStatus);
 nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities);
-nn::GeneralResult<DataLocation> convert(const nn::DataLocation& location);
-nn::GeneralResult<Operand> convert(const nn::Operand& operand);
-nn::GeneralResult<Operation> convert(const nn::Operation& operation);
-nn::GeneralResult<hidl_vec<uint8_t>> convert(const nn::Model::OperandValues& operandValues);
-nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory);
 nn::GeneralResult<Model> convert(const nn::Model& model);
-nn::GeneralResult<RequestArgument> convert(const nn::Request::Argument& requestArgument);
-nn::GeneralResult<hidl_memory> convert(const nn::Request::MemoryPool& memoryPool);
 nn::GeneralResult<Request> convert(const nn::Request& request);
 nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& status);
 
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
index baa2b95..4cec545 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
@@ -22,25 +22,16 @@
 #include <android-base/logging.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
 #include <nnapi/Result.h>
-#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/Validation.h>
 
 namespace android::hardware::neuralnetworks::V1_0::utils {
 
-constexpr auto kVersion = nn::Version::ANDROID_OC_MR1;
-
 template <typename Type>
 nn::Result<void> validate(const Type& halObject) {
     const auto maybeCanonical = nn::convert(halObject);
     if (!maybeCanonical.has_value()) {
         return nn::error() << maybeCanonical.error().message;
     }
-    const auto version = NN_TRY(nn::validate(maybeCanonical.value()));
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
     return {};
 }
 
@@ -53,21 +44,6 @@
     return result.has_value();
 }
 
-template <typename Type>
-decltype(nn::convert(std::declval<Type>())) validatedConvertToCanonical(const Type& halObject) {
-    auto canonical = NN_TRY(nn::convert(halObject));
-    const auto maybeVersion = nn::validate(canonical);
-    if (!maybeVersion.has_value()) {
-        return nn::error() << maybeVersion.error();
-    }
-    const auto version = maybeVersion.value();
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
-    return canonical;
-}
-
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_H
diff --git a/neuralnetworks/1.0/utils/src/Callbacks.cpp b/neuralnetworks/1.0/utils/src/Callbacks.cpp
index f286bcc..b1259c3 100644
--- a/neuralnetworks/1.0/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.0/utils/src/Callbacks.cpp
@@ -45,8 +45,7 @@
 Return<void> PreparedModelCallback::notify(ErrorStatus status,
                                            const sp<IPreparedModel>& preparedModel) {
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -73,8 +72,7 @@
 
 Return<void> ExecutionCallback::notify(ErrorStatus status) {
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal({});
diff --git a/neuralnetworks/1.0/utils/src/Conversions.cpp b/neuralnetworks/1.0/utils/src/Conversions.cpp
index 6cf9073..fde7346 100644
--- a/neuralnetworks/1.0/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.0/utils/src/Conversions.cpp
@@ -22,7 +22,9 @@
 #include <nnapi/OperationTypes.h>
 #include <nnapi/Result.h>
 #include <nnapi/SharedMemory.h>
+#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
+#include <nnapi/Validation.h>
 #include <nnapi/hal/CommonUtils.h>
 
 #include <algorithm>
@@ -40,6 +42,8 @@
     return static_cast<std::underlying_type_t<Type>>(value);
 }
 
+constexpr auto kVersion = android::nn::Version::ANDROID_OC_MR1;
+
 }  // namespace
 
 namespace android::nn {
@@ -49,37 +53,53 @@
 using hardware::hidl_vec;
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-GeneralResult<std::vector<ConvertOutput<Type>>> convert(const hidl_vec<Type>& arguments) {
-    std::vector<ConvertOutput<Type>> canonical;
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
     canonical.reserve(arguments.size());
     for (const auto& argument : arguments) {
-        canonical.push_back(NN_TRY(nn::convert(argument)));
+        canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
+    }
+    return canonical;
+}
+
+template <typename Type>
+decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+    auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
+    const auto maybeVersion = validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
     }
     return canonical;
 }
 
 }  // anonymous namespace
 
-GeneralResult<OperandType> convert(const hal::V1_0::OperandType& operandType) {
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_0::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-GeneralResult<OperationType> convert(const hal::V1_0::OperationType& operationType) {
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_0::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-GeneralResult<Operand::LifeTime> convert(const hal::V1_0::OperandLifeTime& lifetime) {
+GeneralResult<Operand::LifeTime> unvalidatedConvert(const hal::V1_0::OperandLifeTime& lifetime) {
     return static_cast<Operand::LifeTime>(lifetime);
 }
 
-GeneralResult<DeviceStatus> convert(const hal::V1_0::DeviceStatus& deviceStatus) {
+GeneralResult<DeviceStatus> unvalidatedConvert(const hal::V1_0::DeviceStatus& deviceStatus) {
     return static_cast<DeviceStatus>(deviceStatus);
 }
 
-GeneralResult<Capabilities::PerformanceInfo> convert(
+GeneralResult<Capabilities::PerformanceInfo> unvalidatedConvert(
         const hal::V1_0::PerformanceInfo& performanceInfo) {
     return Capabilities::PerformanceInfo{
             .execTime = performanceInfo.execTime,
@@ -87,9 +107,10 @@
     };
 }
 
-GeneralResult<Capabilities> convert(const hal::V1_0::Capabilities& capabilities) {
-    const auto quantized8Performance = NN_TRY(convert(capabilities.quantized8Performance));
-    const auto float32Performance = NN_TRY(convert(capabilities.float32Performance));
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_0::Capabilities& capabilities) {
+    const auto quantized8Performance =
+            NN_TRY(unvalidatedConvert(capabilities.quantized8Performance));
+    const auto float32Performance = NN_TRY(unvalidatedConvert(capabilities.float32Performance));
 
     auto table = hal::utils::makeQuantized8PerformanceConsistentWithP(float32Performance,
                                                                       quantized8Performance);
@@ -101,7 +122,7 @@
     };
 }
 
-GeneralResult<DataLocation> convert(const hal::V1_0::DataLocation& location) {
+GeneralResult<DataLocation> unvalidatedConvert(const hal::V1_0::DataLocation& location) {
     return DataLocation{
             .poolIndex = location.poolIndex,
             .offset = location.offset,
@@ -109,35 +130,35 @@
     };
 }
 
-GeneralResult<Operand> convert(const hal::V1_0::Operand& operand) {
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_0::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
     };
 }
 
-GeneralResult<Operation> convert(const hal::V1_0::Operation& operation) {
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_0::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-GeneralResult<Model::OperandValues> convert(const hidl_vec<uint8_t>& operandValues) {
+GeneralResult<Model::OperandValues> unvalidatedConvert(const hidl_vec<uint8_t>& operandValues) {
     return Model::OperandValues(operandValues.data(), operandValues.size());
 }
 
-GeneralResult<Memory> convert(const hidl_memory& memory) {
+GeneralResult<Memory> unvalidatedConvert(const hidl_memory& memory) {
     return createSharedMemoryFromHidlMemory(memory);
 }
 
-GeneralResult<Model> convert(const hal::V1_0::Model& model) {
-    auto operations = NN_TRY(convert(model.operations));
+GeneralResult<Model> unvalidatedConvert(const hal::V1_0::Model& model) {
+    auto operations = NN_TRY(unvalidatedConvert(model.operations));
 
     // Verify number of consumers.
     const auto numberOfConsumers =
@@ -152,7 +173,7 @@
     }
 
     auto main = Model::Subgraph{
-            .operands = NN_TRY(convert(model.operands)),
+            .operands = NN_TRY(unvalidatedConvert(model.operands)),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
@@ -160,35 +181,35 @@
 
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
     };
 }
 
-GeneralResult<Request::Argument> convert(const hal::V1_0::RequestArgument& argument) {
+GeneralResult<Request::Argument> unvalidatedConvert(const hal::V1_0::RequestArgument& argument) {
     const auto lifetime = argument.hasNoValue ? Request::Argument::LifeTime::NO_VALUE
                                               : Request::Argument::LifeTime::POOL;
     return Request::Argument{
             .lifetime = lifetime,
-            .location = NN_TRY(convert(argument.location)),
+            .location = NN_TRY(unvalidatedConvert(argument.location)),
             .dimensions = argument.dimensions,
     };
 }
 
-GeneralResult<Request> convert(const hal::V1_0::Request& request) {
-    auto memories = NN_TRY(convert(request.pools));
+GeneralResult<Request> unvalidatedConvert(const hal::V1_0::Request& request) {
+    auto memories = NN_TRY(unvalidatedConvert(request.pools));
     std::vector<Request::MemoryPool> pools;
     pools.reserve(memories.size());
     std::move(memories.begin(), memories.end(), std::back_inserter(pools));
 
     return Request{
-            .inputs = NN_TRY(convert(request.inputs)),
-            .outputs = NN_TRY(convert(request.outputs)),
+            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
             .pools = std::move(pools),
     };
 }
 
-GeneralResult<ErrorStatus> convert(const hal::V1_0::ErrorStatus& status) {
+GeneralResult<ErrorStatus> unvalidatedConvert(const hal::V1_0::ErrorStatus& status) {
     switch (status) {
         case hal::V1_0::ErrorStatus::NONE:
         case hal::V1_0::ErrorStatus::DEVICE_UNAVAILABLE:
@@ -201,46 +222,81 @@
            << "Invalid ErrorStatus " << underlyingType(status);
 }
 
+GeneralResult<DeviceStatus> convert(const hal::V1_0::DeviceStatus& deviceStatus) {
+    return validatedConvert(deviceStatus);
+}
+
+GeneralResult<Capabilities> convert(const hal::V1_0::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+GeneralResult<Model> convert(const hal::V1_0::Model& model) {
+    return validatedConvert(model);
+}
+
+GeneralResult<Request> convert(const hal::V1_0::Request& request) {
+    return validatedConvert(request);
+}
+
+GeneralResult<ErrorStatus> convert(const hal::V1_0::ErrorStatus& status) {
+    return validatedConvert(status);
+}
+
 }  // namespace android::nn
 
 namespace android::hardware::neuralnetworks::V1_0::utils {
 namespace {
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<ConvertOutput<Type>>> convert(const std::vector<Type>& arguments) {
-    hidl_vec<ConvertOutput<Type>> halObject(arguments.size());
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
     for (size_t i = 0; i < arguments.size(); ++i) {
-        halObject[i] = NN_TRY(utils::convert(arguments[i]));
+        halObject[i] = NN_TRY(utils::unvalidatedConvert(arguments[i]));
     }
     return halObject;
 }
 
+template <typename Type>
+decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
+    const auto maybeVersion = nn::validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return nn::error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return utils::unvalidatedConvert(canonical);
+}
+
 }  // anonymous namespace
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType) {
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType) {
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-nn::GeneralResult<OperandLifeTime> convert(const nn::Operand::LifeTime& lifetime) {
+nn::GeneralResult<OperandLifeTime> unvalidatedConvert(const nn::Operand::LifeTime& lifetime) {
     if (lifetime == nn::Operand::LifeTime::POINTER) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Model cannot be converted because it contains pointer-based memory";
+               << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
     return static_cast<OperandLifeTime>(lifetime);
 }
 
-nn::GeneralResult<DeviceStatus> convert(const nn::DeviceStatus& deviceStatus) {
+nn::GeneralResult<DeviceStatus> unvalidatedConvert(const nn::DeviceStatus& deviceStatus) {
     return static_cast<DeviceStatus>(deviceStatus);
 }
 
-nn::GeneralResult<PerformanceInfo> convert(
+nn::GeneralResult<PerformanceInfo> unvalidatedConvert(
         const nn::Capabilities::PerformanceInfo& performanceInfo) {
     return PerformanceInfo{
             .execTime = performanceInfo.execTime,
@@ -248,16 +304,16 @@
     };
 }
 
-nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
     return Capabilities{
-            .float32Performance = NN_TRY(convert(
+            .float32Performance = NN_TRY(unvalidatedConvert(
                     capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32))),
-            .quantized8Performance = NN_TRY(convert(
+            .quantized8Performance = NN_TRY(unvalidatedConvert(
                     capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM))),
     };
 }
 
-nn::GeneralResult<DataLocation> convert(const nn::DataLocation& location) {
+nn::GeneralResult<DataLocation> unvalidatedConvert(const nn::DataLocation& location) {
     return DataLocation{
             .poolIndex = location.poolIndex,
             .offset = location.offset,
@@ -265,42 +321,43 @@
     };
 }
 
-nn::GeneralResult<Operand> convert(const nn::Operand& operand) {
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
     };
 }
 
-nn::GeneralResult<Operation> convert(const nn::Operation& operation) {
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-nn::GeneralResult<hidl_vec<uint8_t>> convert(const nn::Model::OperandValues& operandValues) {
+nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
+        const nn::Model::OperandValues& operandValues) {
     return hidl_vec<uint8_t>(operandValues.data(), operandValues.data() + operandValues.size());
 }
 
-nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory) {
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Memory& memory) {
     return hidl_memory(memory.name, NN_TRY(hal::utils::hidlHandleFromSharedHandle(memory.handle)),
                        memory.size);
 }
 
-nn::GeneralResult<Model> convert(const nn::Model& model) {
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
     if (!hal::utils::hasNoPointerData(model)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Mdoel cannot be converted because it contains pointer-based memory";
+               << "Mdoel cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
-    auto operands = NN_TRY(convert(model.main.operands));
+    auto operands = NN_TRY(unvalidatedConvert(model.main.operands));
 
     // Update number of consumers.
     const auto numberOfConsumers =
@@ -312,45 +369,46 @@
 
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(convert(model.main.operations)),
+            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
     };
 }
 
-nn::GeneralResult<RequestArgument> convert(const nn::Request::Argument& requestArgument) {
+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 converted because it contains pointer-based memory";
+               << "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(convert(requestArgument.location)),
+            .location = NN_TRY(unvalidatedConvert(requestArgument.location)),
             .dimensions = requestArgument.dimensions,
     };
 }
 
-nn::GeneralResult<hidl_memory> convert(const nn::Request::MemoryPool& memoryPool) {
-    return convert(std::get<nn::Memory>(memoryPool));
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Request::MemoryPool& memoryPool) {
+    return unvalidatedConvert(std::get<nn::Memory>(memoryPool));
 }
 
-nn::GeneralResult<Request> convert(const nn::Request& request) {
+nn::GeneralResult<Request> unvalidatedConvert(const nn::Request& request) {
     if (!hal::utils::hasNoPointerData(request)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Request cannot be converted because it contains pointer-based memory";
+               << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
     return Request{
-            .inputs = NN_TRY(convert(request.inputs)),
-            .outputs = NN_TRY(convert(request.outputs)),
-            .pools = NN_TRY(convert(request.pools)),
+            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+            .pools = NN_TRY(unvalidatedConvert(request.pools)),
     };
 }
 
-nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& status) {
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& status) {
     switch (status) {
         case nn::ErrorStatus::NONE:
         case nn::ErrorStatus::DEVICE_UNAVAILABLE:
@@ -363,4 +421,24 @@
     }
 }
 
+nn::GeneralResult<DeviceStatus> convert(const nn::DeviceStatus& deviceStatus) {
+    return validatedConvert(deviceStatus);
+}
+
+nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+nn::GeneralResult<Model> convert(const nn::Model& model) {
+    return validatedConvert(model);
+}
+
+nn::GeneralResult<Request> convert(const nn::Request& request) {
+    return validatedConvert(request);
+}
+
+nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& status) {
+    return validatedConvert(status);
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
diff --git a/neuralnetworks/1.0/utils/src/Device.cpp b/neuralnetworks/1.0/utils/src/Device.cpp
index 671416b..ab3f5af 100644
--- a/neuralnetworks/1.0/utils/src/Device.cpp
+++ b/neuralnetworks/1.0/utils/src/Device.cpp
@@ -48,11 +48,10 @@
                                                  << "uninitialized";
     const auto cb = [&result](ErrorStatus status, const Capabilities& capabilities) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getCapabilities failed with " << toString(status);
         } else {
-            result = validatedConvertToCanonical(capabilities);
+            result = nn::convert(capabilities);
         }
     };
 
@@ -135,8 +134,7 @@
                                                   << "uninitialized";
     auto cb = [&result, &model](ErrorStatus status, const hidl_vec<bool>& supportedOperations) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical)
                      << "getSupportedOperations failed with " << toString(status);
         } else if (supportedOperations.size() != model.main.operations.size()) {
@@ -172,8 +170,7 @@
     const auto ret = kDevice->prepareModel(hidlModel, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModel failed with " << toString(status);
     }
 
diff --git a/neuralnetworks/1.0/utils/src/PreparedModel.cpp b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
index 11ccbe3..80f885a 100644
--- a/neuralnetworks/1.0/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
@@ -70,8 +70,7 @@
     const auto status =
             NN_TRY(hal::utils::makeExecutionFailure(hal::utils::handleTransportError(ret)));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "execute failed with " << toString(status);
     }
 
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Conversions.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Conversions.h
index 16ddd53..f646462 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Conversions.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Conversions.h
@@ -24,9 +24,14 @@
 
 namespace android::nn {
 
-GeneralResult<OperationType> convert(const hal::V1_1::OperationType& operationType);
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_1::OperationType& operationType);
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_1::Capabilities& capabilities);
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_1::Operation& operation);
+GeneralResult<Model> unvalidatedConvert(const hal::V1_1::Model& model);
+GeneralResult<ExecutionPreference> unvalidatedConvert(
+        const hal::V1_1::ExecutionPreference& executionPreference);
+
 GeneralResult<Capabilities> convert(const hal::V1_1::Capabilities& capabilities);
-GeneralResult<Operation> convert(const hal::V1_1::Operation& operation);
 GeneralResult<Model> convert(const hal::V1_1::Model& model);
 GeneralResult<ExecutionPreference> convert(
         const hal::V1_1::ExecutionPreference& executionPreference);
@@ -35,9 +40,14 @@
 
 namespace android::hardware::neuralnetworks::V1_1::utils {
 
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType);
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType);
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities);
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation);
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
+nn::GeneralResult<ExecutionPreference> unvalidatedConvert(
+        const nn::ExecutionPreference& executionPreference);
+
 nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities);
-nn::GeneralResult<Operation> convert(const nn::Operation& operation);
 nn::GeneralResult<Model> convert(const nn::Model& model);
 nn::GeneralResult<ExecutionPreference> convert(const nn::ExecutionPreference& executionPreference);
 
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
index 0fee628..052d88e 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
@@ -22,15 +22,12 @@
 #include <android-base/logging.h>
 #include <android/hardware/neuralnetworks/1.1/types.h>
 #include <nnapi/Result.h>
-#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 
 namespace android::hardware::neuralnetworks::V1_1::utils {
 
 constexpr auto kDefaultExecutionPreference = ExecutionPreference::FAST_SINGLE_ANSWER;
-constexpr auto kVersion = nn::Version::ANDROID_P;
 
 template <typename Type>
 nn::Result<void> validate(const Type& halObject) {
@@ -38,11 +35,6 @@
     if (!maybeCanonical.has_value()) {
         return nn::error() << maybeCanonical.error().message;
     }
-    const auto version = NN_TRY(nn::validate(maybeCanonical.value()));
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
     return {};
 }
 
@@ -55,21 +47,6 @@
     return result.has_value();
 }
 
-template <typename Type>
-decltype(nn::convert(std::declval<Type>())) validatedConvertToCanonical(const Type& halObject) {
-    auto canonical = NN_TRY(nn::convert(halObject));
-    const auto maybeVersion = nn::validate(canonical);
-    if (!maybeVersion.has_value()) {
-        return nn::error() << maybeVersion.error();
-    }
-    const auto version = maybeVersion.value();
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
-    return canonical;
-}
-
 }  // namespace android::hardware::neuralnetworks::V1_1::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_H
diff --git a/neuralnetworks/1.1/utils/src/Conversions.cpp b/neuralnetworks/1.1/utils/src/Conversions.cpp
index ffe0752..359f68a 100644
--- a/neuralnetworks/1.1/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.1/utils/src/Conversions.cpp
@@ -23,7 +23,9 @@
 #include <nnapi/OperationTypes.h>
 #include <nnapi/Result.h>
 #include <nnapi/SharedMemory.h>
+#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
+#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
 
@@ -33,35 +35,58 @@
 #include <type_traits>
 #include <utility>
 
+namespace {
+
+constexpr auto kVersion = android::nn::Version::ANDROID_P;
+
+}  // namespace
+
 namespace android::nn {
 namespace {
 
 using hardware::hidl_vec;
 
 template <typename Input>
-using convertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-GeneralResult<std::vector<convertOutput<Type>>> convert(const hidl_vec<Type>& arguments) {
-    std::vector<convertOutput<Type>> canonical;
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
     canonical.reserve(arguments.size());
     for (const auto& argument : arguments) {
-        canonical.push_back(NN_TRY(nn::convert(argument)));
+        canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
+    }
+    return canonical;
+}
+
+template <typename Type>
+decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+    auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
+    const auto maybeVersion = validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
     }
     return canonical;
 }
 
 }  // anonymous namespace
 
-GeneralResult<OperationType> convert(const hal::V1_1::OperationType& operationType) {
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_1::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-GeneralResult<Capabilities> convert(const hal::V1_1::Capabilities& capabilities) {
-    const auto quantized8Performance = NN_TRY(convert(capabilities.quantized8Performance));
-    const auto float32Performance = NN_TRY(convert(capabilities.float32Performance));
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_1::Capabilities& capabilities) {
+    const auto quantized8Performance =
+            NN_TRY(unvalidatedConvert(capabilities.quantized8Performance));
+    const auto float32Performance = NN_TRY(unvalidatedConvert(capabilities.float32Performance));
     const auto relaxedFloat32toFloat16Performance =
-            NN_TRY(convert(capabilities.relaxedFloat32toFloat16Performance));
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16Performance));
 
     auto table = hal::utils::makeQuantized8PerformanceConsistentWithP(float32Performance,
                                                                       quantized8Performance);
@@ -73,16 +98,16 @@
     };
 }
 
-GeneralResult<Operation> convert(const hal::V1_1::Operation& operation) {
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_1::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-GeneralResult<Model> convert(const hal::V1_1::Model& model) {
-    auto operations = NN_TRY(convert(model.operations));
+GeneralResult<Model> unvalidatedConvert(const hal::V1_1::Model& model) {
+    auto operations = NN_TRY(unvalidatedConvert(model.operations));
 
     // Verify number of consumers.
     const auto numberOfConsumers =
@@ -97,7 +122,7 @@
     }
 
     auto main = Model::Subgraph{
-            .operands = NN_TRY(convert(model.operands)),
+            .operands = NN_TRY(unvalidatedConvert(model.operands)),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
@@ -105,85 +130,114 @@
 
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
     };
 }
 
-GeneralResult<ExecutionPreference> convert(
+GeneralResult<ExecutionPreference> unvalidatedConvert(
         const hal::V1_1::ExecutionPreference& executionPreference) {
     return static_cast<ExecutionPreference>(executionPreference);
 }
 
+GeneralResult<Capabilities> convert(const hal::V1_1::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+GeneralResult<Model> convert(const hal::V1_1::Model& model) {
+    return validatedConvert(model);
+}
+
+GeneralResult<ExecutionPreference> convert(
+        const hal::V1_1::ExecutionPreference& executionPreference) {
+    return validatedConvert(executionPreference);
+}
+
 }  // namespace android::nn
 
 namespace android::hardware::neuralnetworks::V1_1::utils {
 namespace {
 
-using utils::convert;
+using utils::unvalidatedConvert;
 
-nn::GeneralResult<V1_0::PerformanceInfo> convert(
+nn::GeneralResult<V1_0::PerformanceInfo> unvalidatedConvert(
         const nn::Capabilities::PerformanceInfo& performanceInfo) {
-    return V1_0::utils::convert(performanceInfo);
+    return V1_0::utils::unvalidatedConvert(performanceInfo);
 }
 
-nn::GeneralResult<V1_0::Operand> convert(const nn::Operand& operand) {
-    return V1_0::utils::convert(operand);
+nn::GeneralResult<V1_0::Operand> unvalidatedConvert(const nn::Operand& operand) {
+    return V1_0::utils::unvalidatedConvert(operand);
 }
 
-nn::GeneralResult<hidl_vec<uint8_t>> convert(const nn::Model::OperandValues& operandValues) {
-    return V1_0::utils::convert(operandValues);
+nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
+        const nn::Model::OperandValues& operandValues) {
+    return V1_0::utils::unvalidatedConvert(operandValues);
 }
 
-nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory) {
-    return V1_0::utils::convert(memory);
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Memory& memory) {
+    return V1_0::utils::unvalidatedConvert(memory);
 }
 
 template <typename Input>
-using convertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<convertOutput<Type>>> convert(const std::vector<Type>& arguments) {
-    hidl_vec<convertOutput<Type>> halObject(arguments.size());
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
     for (size_t i = 0; i < arguments.size(); ++i) {
-        halObject[i] = NN_TRY(convert(arguments[i]));
+        halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
     }
     return halObject;
 }
 
+template <typename Type>
+decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
+    const auto maybeVersion = nn::validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return nn::error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return utils::unvalidatedConvert(canonical);
+}
+
 }  // anonymous namespace
 
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType) {
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
     return Capabilities{
-            .float32Performance = NN_TRY(convert(
+            .float32Performance = NN_TRY(unvalidatedConvert(
                     capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32))),
-            .quantized8Performance = NN_TRY(convert(
+            .quantized8Performance = NN_TRY(unvalidatedConvert(
                     capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM))),
-            .relaxedFloat32toFloat16Performance =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .relaxedFloat32toFloat16Performance = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
     };
 }
 
-nn::GeneralResult<Operation> convert(const nn::Operation& operation) {
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-nn::GeneralResult<Model> convert(const nn::Model& model) {
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
     if (!hal::utils::hasNoPointerData(model)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Mdoel cannot be converted because it contains pointer-based memory";
+               << "Mdoel cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
-    auto operands = NN_TRY(convert(model.main.operands));
+    auto operands = NN_TRY(unvalidatedConvert(model.main.operands));
 
     // Update number of consumers.
     const auto numberOfConsumers =
@@ -195,17 +249,30 @@
 
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(convert(model.main.operations)),
+            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
     };
 }
 
-nn::GeneralResult<ExecutionPreference> convert(const nn::ExecutionPreference& executionPreference) {
+nn::GeneralResult<ExecutionPreference> unvalidatedConvert(
+        const nn::ExecutionPreference& executionPreference) {
     return static_cast<ExecutionPreference>(executionPreference);
 }
 
+nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+nn::GeneralResult<Model> convert(const nn::Model& model) {
+    return validatedConvert(model);
+}
+
+nn::GeneralResult<ExecutionPreference> convert(const nn::ExecutionPreference& executionPreference) {
+    return validatedConvert(executionPreference);
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_1::utils
diff --git a/neuralnetworks/1.1/utils/src/Device.cpp b/neuralnetworks/1.1/utils/src/Device.cpp
index a0378c9..e45b17e 100644
--- a/neuralnetworks/1.1/utils/src/Device.cpp
+++ b/neuralnetworks/1.1/utils/src/Device.cpp
@@ -49,11 +49,10 @@
                                                  << "uninitialized";
     const auto cb = [&result](V1_0::ErrorStatus status, const Capabilities& capabilities) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getCapabilities_1_1 failed with " << toString(status);
         } else {
-            result = validatedConvertToCanonical(capabilities);
+            result = nn::convert(capabilities);
         }
     };
 
@@ -137,8 +136,7 @@
     auto cb = [&result, &model](V1_0::ErrorStatus status,
                                 const hidl_vec<bool>& supportedOperations) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical)
                      << "getSupportedOperations_1_1 failed with " << toString(status);
         } else if (supportedOperations.size() != model.main.operations.size()) {
@@ -175,8 +173,7 @@
     const auto ret = kDevice->prepareModel_1_1(hidlModel, hidlPreference, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModel failed with " << toString(status);
     }
 
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 24911fe..5dcbc0b 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
@@ -24,27 +24,34 @@
 
 namespace android::nn {
 
-GeneralResult<OperandType> convert(const hal::V1_2::OperandType& operandType);
-GeneralResult<OperationType> convert(const hal::V1_2::OperationType& operationType);
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_2::OperandType& operandType);
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_2::OperationType& operationType);
+GeneralResult<DeviceType> unvalidatedConvert(const hal::V1_2::DeviceType& deviceType);
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_2::Capabilities& capabilities);
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const hal::V1_2::Capabilities::OperandPerformance& operandPerformance);
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_2::Operation& operation);
+GeneralResult<Operand::SymmPerChannelQuantParams> unvalidatedConvert(
+        const hal::V1_2::SymmPerChannelQuantParams& symmPerChannelQuantParams);
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_2::Operand& operand);
+GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const hal::V1_2::Operand::ExtraParams& extraParams);
+GeneralResult<Model> unvalidatedConvert(const hal::V1_2::Model& model);
+GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+        const hal::V1_2::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
+GeneralResult<OutputShape> unvalidatedConvert(const hal::V1_2::OutputShape& outputShape);
+GeneralResult<MeasureTiming> unvalidatedConvert(const hal::V1_2::MeasureTiming& measureTiming);
+GeneralResult<Timing> unvalidatedConvert(const hal::V1_2::Timing& timing);
+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);
-GeneralResult<Capabilities::OperandPerformance> convert(
-        const hal::V1_2::Capabilities::OperandPerformance& operandPerformance);
-GeneralResult<Operation> convert(const hal::V1_2::Operation& operation);
-GeneralResult<Operand::SymmPerChannelQuantParams> convert(
-        const hal::V1_2::SymmPerChannelQuantParams& symmPerChannelQuantParams);
-GeneralResult<Operand> convert(const hal::V1_2::Operand& operand);
-GeneralResult<Operand::ExtraParams> convert(const hal::V1_2::Operand::ExtraParams& extraParams);
 GeneralResult<Model> convert(const hal::V1_2::Model& model);
-GeneralResult<Model::ExtensionNameAndPrefix> convert(
-        const hal::V1_2::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
-GeneralResult<OutputShape> convert(const hal::V1_2::OutputShape& outputShape);
 GeneralResult<MeasureTiming> convert(const hal::V1_2::MeasureTiming& measureTiming);
 GeneralResult<Timing> convert(const hal::V1_2::Timing& timing);
-GeneralResult<Extension> convert(const hal::V1_2::Extension& extension);
-GeneralResult<Extension::OperandTypeInformation> convert(
-        const hal::V1_2::Extension::OperandTypeInformation& operandTypeInformation);
-GeneralResult<SharedHandle> convert(const hardware::hidl_handle& handle);
 
 GeneralResult<std::vector<Extension>> convert(
         const hardware::hidl_vec<hal::V1_2::Extension>& extensions);
@@ -57,27 +64,34 @@
 
 namespace android::hardware::neuralnetworks::V1_2::utils {
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType);
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType);
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType);
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType);
+nn::GeneralResult<DeviceType> unvalidatedConvert(const nn::DeviceType& deviceType);
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities);
+nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const nn::Capabilities::OperandPerformance& operandPerformance);
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation);
+nn::GeneralResult<SymmPerChannelQuantParams> unvalidatedConvert(
+        const nn::Operand::SymmPerChannelQuantParams& symmPerChannelQuantParams);
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand);
+nn::GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const nn::Operand::ExtraParams& extraParams);
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
+nn::GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+        const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
+nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape);
+nn::GeneralResult<MeasureTiming> unvalidatedConvert(const nn::MeasureTiming& measureTiming);
+nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing);
+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);
-nn::GeneralResult<Capabilities::OperandPerformance> convert(
-        const nn::Capabilities::OperandPerformance& operandPerformance);
-nn::GeneralResult<Operation> convert(const nn::Operation& operation);
-nn::GeneralResult<SymmPerChannelQuantParams> convert(
-        const nn::Operand::SymmPerChannelQuantParams& symmPerChannelQuantParams);
-nn::GeneralResult<Operand> convert(const nn::Operand& operand);
-nn::GeneralResult<Operand::ExtraParams> convert(const nn::Operand::ExtraParams& extraParams);
 nn::GeneralResult<Model> convert(const nn::Model& model);
-nn::GeneralResult<Model::ExtensionNameAndPrefix> convert(
-        const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
-nn::GeneralResult<OutputShape> convert(const nn::OutputShape& outputShape);
 nn::GeneralResult<MeasureTiming> convert(const nn::MeasureTiming& measureTiming);
 nn::GeneralResult<Timing> convert(const nn::Timing& timing);
-nn::GeneralResult<Extension> convert(const nn::Extension& extension);
-nn::GeneralResult<Extension::OperandTypeInformation> convert(
-        const nn::Extension::OperandTypeInformation& operandTypeInformation);
-nn::GeneralResult<hidl_handle> convert(const nn::SharedHandle& handle);
 
 nn::GeneralResult<hidl_vec<Extension>> convert(const std::vector<nn::Extension>& extensions);
 nn::GeneralResult<hidl_vec<hidl_handle>> convert(const std::vector<nn::SharedHandle>& handles);
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index a9a6bae..70149a2 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -22,9 +22,7 @@
 #include <android-base/logging.h>
 #include <android/hardware/neuralnetworks/1.2/types.h>
 #include <nnapi/Result.h>
-#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.1/Conversions.h>
 
@@ -35,7 +33,6 @@
 constexpr auto kDefaultMesaureTiming = MeasureTiming::NO;
 constexpr auto kNoTiming = Timing{.timeOnDevice = std::numeric_limits<uint64_t>::max(),
                                   .timeInDriver = std::numeric_limits<uint64_t>::max()};
-constexpr auto kVersion = nn::Version::ANDROID_Q;
 
 template <typename Type>
 nn::Result<void> validate(const Type& halObject) {
@@ -43,11 +40,6 @@
     if (!maybeCanonical.has_value()) {
         return nn::error() << maybeCanonical.error().message;
     }
-    const auto version = NN_TRY(nn::validate(maybeCanonical.value()));
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
     return {};
 }
 
@@ -60,21 +52,6 @@
     return result.has_value();
 }
 
-template <typename Type>
-decltype(nn::convert(std::declval<Type>())) validatedConvertToCanonical(const Type& halObject) {
-    auto canonical = NN_TRY(nn::convert(halObject));
-    const auto maybeVersion = nn::validate(canonical);
-    if (!maybeVersion.has_value()) {
-        return nn::error() << maybeVersion.error();
-    }
-    const auto version = maybeVersion.value();
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
-    return canonical;
-}
-
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_H
diff --git a/neuralnetworks/1.2/utils/src/Callbacks.cpp b/neuralnetworks/1.2/utils/src/Callbacks.cpp
index cb739f0..39f88c2 100644
--- a/neuralnetworks/1.2/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.2/utils/src/Callbacks.cpp
@@ -52,8 +52,7 @@
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<OutputShape>& outputShapes,
                                      const Timing& timing) {
-    return std::make_pair(NN_TRY(validatedConvertToCanonical(outputShapes)),
-                          NN_TRY(validatedConvertToCanonical(timing)));
+    return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
 }
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
@@ -67,8 +66,7 @@
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -82,8 +80,7 @@
 Return<void> PreparedModelCallback::notify_1_2(V1_0::ErrorStatus status,
                                                const sp<IPreparedModel>& preparedModel) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -110,8 +107,7 @@
 
 Return<void> ExecutionCallback::notify(V1_0::ErrorStatus status) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal({});
@@ -123,8 +119,7 @@
                                            const hidl_vec<OutputShape>& outputShapes,
                                            const Timing& timing) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal(convertExecutionGeneralResults(outputShapes, timing));
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 08c94de..f11474f 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -24,6 +24,7 @@
 #include <nnapi/SharedMemory.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
+#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
 #include <nnapi/hal/HandleError.h>
@@ -42,6 +43,8 @@
     return static_cast<std::underlying_type_t<Type>>(value);
 }
 
+constexpr auto kVersion = android::nn::Version::ANDROID_Q;
+
 }  // namespace
 
 namespace android::nn {
@@ -76,42 +79,70 @@
 using hardware::hidl_vec;
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-GeneralResult<std::vector<ConvertOutput<Type>>> convertVec(const hidl_vec<Type>& arguments) {
-    std::vector<ConvertOutput<Type>> canonical;
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
     canonical.reserve(arguments.size());
     for (const auto& argument : arguments) {
-        canonical.push_back(NN_TRY(nn::convert(argument)));
+        canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
     }
     return canonical;
 }
 
 template <typename Type>
-GeneralResult<std::vector<ConvertOutput<Type>>> convert(const hidl_vec<Type>& arguments) {
-    return convertVec(arguments);
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const hidl_vec<Type>& arguments) {
+    return unvalidatedConvertVec(arguments);
+}
+
+template <typename Type>
+decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+    auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
+    const auto maybeVersion = validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return canonical;
+}
+
+template <typename Type>
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> validatedConvert(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
+    canonical.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        canonical.push_back(NN_TRY(validatedConvert(argument)));
+    }
+    return canonical;
 }
 
 }  // anonymous namespace
 
-GeneralResult<OperandType> convert(const hal::V1_2::OperandType& operandType) {
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_2::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-GeneralResult<OperationType> convert(const hal::V1_2::OperationType& operationType) {
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_2::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-GeneralResult<DeviceType> convert(const hal::V1_2::DeviceType& deviceType) {
+GeneralResult<DeviceType> unvalidatedConvert(const hal::V1_2::DeviceType& deviceType) {
     return static_cast<DeviceType>(deviceType);
 }
 
-GeneralResult<Capabilities> convert(const hal::V1_2::Capabilities& capabilities) {
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_2::Capabilities& capabilities) {
     const bool validOperandTypes = std::all_of(
             capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
             [](const hal::V1_2::Capabilities::OperandPerformance& operandPerformance) {
-                const auto maybeType = convert(operandPerformance.type);
+                const auto maybeType = unvalidatedConvert(operandPerformance.type);
                 return !maybeType.has_value() ? false : validOperandType(maybeType.value());
             });
     if (!validOperandTypes) {
@@ -120,10 +151,10 @@
     }
 
     const auto relaxedFloat32toFloat16PerformanceScalar =
-            NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
     const auto relaxedFloat32toFloat16PerformanceTensor =
-            NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
-    auto operandPerformance = NN_TRY(convert(capabilities.operandPerformance));
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    auto operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance));
 
     auto table = NN_TRY(hal::utils::makeGeneralFailure(
             Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)),
@@ -136,23 +167,23 @@
     };
 }
 
-GeneralResult<Capabilities::OperandPerformance> convert(
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const hal::V1_2::Capabilities::OperandPerformance& operandPerformance) {
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(convert(operandPerformance.type)),
-            .info = NN_TRY(convert(operandPerformance.info)),
+            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
+            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
     };
 }
 
-GeneralResult<Operation> convert(const hal::V1_2::Operation& operation) {
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_2::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-GeneralResult<Operand::SymmPerChannelQuantParams> convert(
+GeneralResult<Operand::SymmPerChannelQuantParams> unvalidatedConvert(
         const hal::V1_2::SymmPerChannelQuantParams& symmPerChannelQuantParams) {
     return Operand::SymmPerChannelQuantParams{
             .scales = symmPerChannelQuantParams.scales,
@@ -160,25 +191,26 @@
     };
 }
 
-GeneralResult<Operand> convert(const hal::V1_2::Operand& operand) {
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_2::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
-            .extraParams = NN_TRY(convert(operand.extraParams)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
     };
 }
 
-GeneralResult<Operand::ExtraParams> convert(const hal::V1_2::Operand::ExtraParams& extraParams) {
+GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const hal::V1_2::Operand::ExtraParams& extraParams) {
     using Discriminator = hal::V1_2::Operand::ExtraParams::hidl_discriminator;
     switch (extraParams.getDiscriminator()) {
         case Discriminator::none:
             return Operand::NoParams{};
         case Discriminator::channelQuant:
-            return convert(extraParams.channelQuant());
+            return unvalidatedConvert(extraParams.channelQuant());
         case Discriminator::extension:
             return extraParams.extension();
     }
@@ -187,8 +219,8 @@
            << underlyingType(extraParams.getDiscriminator());
 }
 
-GeneralResult<Model> convert(const hal::V1_2::Model& model) {
-    auto operations = NN_TRY(convert(model.operations));
+GeneralResult<Model> unvalidatedConvert(const hal::V1_2::Model& model) {
+    auto operations = NN_TRY(unvalidatedConvert(model.operations));
 
     // Verify number of consumers.
     const auto numberOfConsumers =
@@ -203,7 +235,7 @@
     }
 
     auto main = Model::Subgraph{
-            .operands = NN_TRY(convert(model.operands)),
+            .operands = NN_TRY(unvalidatedConvert(model.operands)),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
@@ -211,14 +243,14 @@
 
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(convert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
     };
 }
 
-GeneralResult<Model::ExtensionNameAndPrefix> convert(
+GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
         const hal::V1_2::Model::ExtensionNameAndPrefix& extensionNameAndPrefix) {
     return Model::ExtensionNameAndPrefix{
             .name = extensionNameAndPrefix.name,
@@ -226,29 +258,29 @@
     };
 }
 
-GeneralResult<OutputShape> convert(const hal::V1_2::OutputShape& outputShape) {
+GeneralResult<OutputShape> unvalidatedConvert(const hal::V1_2::OutputShape& outputShape) {
     return OutputShape{
             .dimensions = outputShape.dimensions,
             .isSufficient = outputShape.isSufficient,
     };
 }
 
-GeneralResult<MeasureTiming> convert(const hal::V1_2::MeasureTiming& measureTiming) {
+GeneralResult<MeasureTiming> unvalidatedConvert(const hal::V1_2::MeasureTiming& measureTiming) {
     return static_cast<MeasureTiming>(measureTiming);
 }
 
-GeneralResult<Timing> convert(const hal::V1_2::Timing& timing) {
+GeneralResult<Timing> unvalidatedConvert(const hal::V1_2::Timing& timing) {
     return Timing{.timeOnDevice = timing.timeOnDevice, .timeInDriver = timing.timeInDriver};
 }
 
-GeneralResult<Extension> convert(const hal::V1_2::Extension& extension) {
+GeneralResult<Extension> unvalidatedConvert(const hal::V1_2::Extension& extension) {
     return Extension{
             .name = extension.name,
-            .operandTypes = NN_TRY(convert(extension.operandTypes)),
+            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
     };
 }
 
-GeneralResult<Extension::OperandTypeInformation> convert(
+GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
         const hal::V1_2::Extension::OperandTypeInformation& operandTypeInformation) {
     return Extension::OperandTypeInformation{
             .type = operandTypeInformation.type,
@@ -257,21 +289,41 @@
     };
 }
 
-GeneralResult<SharedHandle> convert(const hidl_handle& hidlHandle) {
+GeneralResult<SharedHandle> unvalidatedConvert(const hidl_handle& hidlHandle) {
     return hal::utils::sharedHandleFromNativeHandle(hidlHandle.getNativeHandle());
 }
 
+GeneralResult<DeviceType> convert(const hal::V1_2::DeviceType& deviceType) {
+    return validatedConvert(deviceType);
+}
+
+GeneralResult<Capabilities> convert(const hal::V1_2::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+GeneralResult<Model> convert(const hal::V1_2::Model& model) {
+    return validatedConvert(model);
+}
+
+GeneralResult<MeasureTiming> convert(const hal::V1_2::MeasureTiming& measureTiming) {
+    return validatedConvert(measureTiming);
+}
+
+GeneralResult<Timing> convert(const hal::V1_2::Timing& timing) {
+    return validatedConvert(timing);
+}
+
 GeneralResult<std::vector<Extension>> convert(const hidl_vec<hal::V1_2::Extension>& extensions) {
-    return convertVec(extensions);
+    return validatedConvert(extensions);
 }
 
 GeneralResult<std::vector<SharedHandle>> convert(const hidl_vec<hidl_handle>& handles) {
-    return convertVec(handles);
+    return validatedConvert(handles);
 }
 
 GeneralResult<std::vector<OutputShape>> convert(
         const hidl_vec<hal::V1_2::OutputShape>& outputShapes) {
-    return convertVec(outputShapes);
+    return validatedConvert(outputShapes);
 }
 
 }  // namespace android::nn
@@ -279,44 +331,48 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 namespace {
 
-using utils::convert;
+using utils::unvalidatedConvert;
 
-nn::GeneralResult<V1_0::OperandLifeTime> convert(const nn::Operand::LifeTime& lifetime) {
-    return V1_0::utils::convert(lifetime);
+nn::GeneralResult<V1_0::OperandLifeTime> unvalidatedConvert(const nn::Operand::LifeTime& lifetime) {
+    return V1_0::utils::unvalidatedConvert(lifetime);
 }
 
-nn::GeneralResult<V1_0::PerformanceInfo> convert(
+nn::GeneralResult<V1_0::PerformanceInfo> unvalidatedConvert(
         const nn::Capabilities::PerformanceInfo& performanceInfo) {
-    return V1_0::utils::convert(performanceInfo);
+    return V1_0::utils::unvalidatedConvert(performanceInfo);
 }
 
-nn::GeneralResult<V1_0::DataLocation> convert(const nn::DataLocation& location) {
-    return V1_0::utils::convert(location);
+nn::GeneralResult<V1_0::DataLocation> unvalidatedConvert(const nn::DataLocation& location) {
+    return V1_0::utils::unvalidatedConvert(location);
 }
 
-nn::GeneralResult<hidl_vec<uint8_t>> convert(const nn::Model::OperandValues& operandValues) {
-    return V1_0::utils::convert(operandValues);
+nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
+        const nn::Model::OperandValues& operandValues) {
+    return V1_0::utils::unvalidatedConvert(operandValues);
 }
 
-nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory) {
-    return V1_0::utils::convert(memory);
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Memory& memory) {
+    return V1_0::utils::unvalidatedConvert(memory);
 }
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<ConvertOutput<Type>>> convertVec(const std::vector<Type>& arguments) {
-    hidl_vec<ConvertOutput<Type>> halObject(arguments.size());
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
     for (size_t i = 0; i < arguments.size(); ++i) {
-        halObject[i] = NN_TRY(convert(arguments[i]));
+        halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
     }
     return halObject;
 }
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<ConvertOutput<Type>>> convert(const std::vector<Type>& arguments) {
-    return convertVec(arguments);
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const std::vector<Type>& arguments) {
+    return unvalidatedConvertVec(arguments);
 }
 
 nn::GeneralResult<Operand::ExtraParams> makeExtraParams(nn::Operand::NoParams /*noParams*/) {
@@ -326,7 +382,7 @@
 nn::GeneralResult<Operand::ExtraParams> makeExtraParams(
         const nn::Operand::SymmPerChannelQuantParams& channelQuant) {
     Operand::ExtraParams ret;
-    ret.channelQuant(NN_TRY(convert(channelQuant)));
+    ret.channelQuant(NN_TRY(unvalidatedConvert(channelQuant)));
     return ret;
 }
 
@@ -337,17 +393,40 @@
     return ret;
 }
 
+template <typename Type>
+decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
+    const auto maybeVersion = nn::validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return nn::error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return utils::unvalidatedConvert(canonical);
+}
+
+template <typename Type>
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> validatedConvert(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+    for (size_t i = 0; i < arguments.size(); ++i) {
+        halObject[i] = NN_TRY(validatedConvert(arguments[i]));
+    }
+    return halObject;
+}
+
 }  // anonymous namespace
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType) {
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType) {
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-nn::GeneralResult<DeviceType> convert(const nn::DeviceType& deviceType) {
+nn::GeneralResult<DeviceType> unvalidatedConvert(const nn::DeviceType& deviceType) {
     switch (deviceType) {
         case nn::DeviceType::UNKNOWN:
             return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "Invalid DeviceType UNKNOWN";
@@ -361,7 +440,7 @@
            << "Invalid DeviceType " << underlyingType(deviceType);
 }
 
-nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
     std::vector<nn::Capabilities::OperandPerformance> operandPerformance;
     operandPerformance.reserve(capabilities.operandPerformance.asVector().size());
     std::copy_if(capabilities.operandPerformance.asVector().begin(),
@@ -372,31 +451,31 @@
                  });
 
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
-            .operandPerformance = NN_TRY(convert(operandPerformance)),
+            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
+            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .operandPerformance = NN_TRY(unvalidatedConvert(operandPerformance)),
     };
 }
 
-nn::GeneralResult<Capabilities::OperandPerformance> convert(
+nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const nn::Capabilities::OperandPerformance& operandPerformance) {
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(convert(operandPerformance.type)),
-            .info = NN_TRY(convert(operandPerformance.info)),
+            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
+            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
     };
 }
 
-nn::GeneralResult<Operation> convert(const nn::Operation& operation) {
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-nn::GeneralResult<SymmPerChannelQuantParams> convert(
+nn::GeneralResult<SymmPerChannelQuantParams> unvalidatedConvert(
         const nn::Operand::SymmPerChannelQuantParams& symmPerChannelQuantParams) {
     return SymmPerChannelQuantParams{
             .scales = symmPerChannelQuantParams.scales,
@@ -404,30 +483,31 @@
     };
 }
 
-nn::GeneralResult<Operand> convert(const nn::Operand& operand) {
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
-            .extraParams = NN_TRY(convert(operand.extraParams)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
     };
 }
 
-nn::GeneralResult<Operand::ExtraParams> convert(const nn::Operand::ExtraParams& extraParams) {
+nn::GeneralResult<Operand::ExtraParams> unvalidatedConvert(
+        const nn::Operand::ExtraParams& extraParams) {
     return std::visit([](const auto& x) { return makeExtraParams(x); }, extraParams);
 }
 
-nn::GeneralResult<Model> convert(const nn::Model& model) {
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
     if (!hal::utils::hasNoPointerData(model)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Model cannot be converted because it contains pointer-based memory";
+               << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
-    auto operands = NN_TRY(convert(model.main.operands));
+    auto operands = NN_TRY(unvalidatedConvert(model.main.operands));
 
     // Update number of consumers.
     const auto numberOfConsumers =
@@ -439,17 +519,17 @@
 
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(convert(model.main.operations)),
+            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
+            .pools = NN_TRY(unvalidatedConvert(model.pools)),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(convert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
     };
 }
 
-nn::GeneralResult<Model::ExtensionNameAndPrefix> convert(
+nn::GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
         const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix) {
     return Model::ExtensionNameAndPrefix{
             .name = extensionNameAndPrefix.name,
@@ -457,27 +537,27 @@
     };
 }
 
-nn::GeneralResult<OutputShape> convert(const nn::OutputShape& outputShape) {
+nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape) {
     return OutputShape{.dimensions = outputShape.dimensions,
                        .isSufficient = outputShape.isSufficient};
 }
 
-nn::GeneralResult<MeasureTiming> convert(const nn::MeasureTiming& measureTiming) {
+nn::GeneralResult<MeasureTiming> unvalidatedConvert(const nn::MeasureTiming& measureTiming) {
     return static_cast<MeasureTiming>(measureTiming);
 }
 
-nn::GeneralResult<Timing> convert(const nn::Timing& timing) {
+nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing) {
     return Timing{.timeOnDevice = timing.timeOnDevice, .timeInDriver = timing.timeInDriver};
 }
 
-nn::GeneralResult<Extension> convert(const nn::Extension& extension) {
+nn::GeneralResult<Extension> unvalidatedConvert(const nn::Extension& extension) {
     return Extension{
             .name = extension.name,
-            .operandTypes = NN_TRY(convert(extension.operandTypes)),
+            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
     };
 }
 
-nn::GeneralResult<Extension::OperandTypeInformation> convert(
+nn::GeneralResult<Extension::OperandTypeInformation> unvalidatedConvert(
         const nn::Extension::OperandTypeInformation& operandTypeInformation) {
     return Extension::OperandTypeInformation{
             .type = operandTypeInformation.type,
@@ -486,20 +566,40 @@
     };
 }
 
-nn::GeneralResult<hidl_handle> convert(const nn::SharedHandle& handle) {
+nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
     return hal::utils::hidlHandleFromSharedHandle(handle);
 }
 
+nn::GeneralResult<DeviceType> convert(const nn::DeviceType& deviceType) {
+    return validatedConvert(deviceType);
+}
+
+nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+nn::GeneralResult<Model> convert(const nn::Model& model) {
+    return validatedConvert(model);
+}
+
+nn::GeneralResult<MeasureTiming> convert(const nn::MeasureTiming& measureTiming) {
+    return validatedConvert(measureTiming);
+}
+
+nn::GeneralResult<Timing> convert(const nn::Timing& timing) {
+    return validatedConvert(timing);
+}
+
 nn::GeneralResult<hidl_vec<Extension>> convert(const std::vector<nn::Extension>& extensions) {
-    return convertVec(extensions);
+    return validatedConvert(extensions);
 }
 
 nn::GeneralResult<hidl_vec<hidl_handle>> convert(const std::vector<nn::SharedHandle>& handles) {
-    return convertVec(handles);
+    return validatedConvert(handles);
 }
 
 nn::GeneralResult<hidl_vec<OutputShape>> convert(const std::vector<nn::OutputShape>& outputShapes) {
-    return convertVec(outputShapes);
+    return validatedConvert(outputShapes);
 }
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/Device.cpp b/neuralnetworks/1.2/utils/src/Device.cpp
index a9e5377..967a252 100644
--- a/neuralnetworks/1.2/utils/src/Device.cpp
+++ b/neuralnetworks/1.2/utils/src/Device.cpp
@@ -51,11 +51,10 @@
                                                  << "uninitialized";
     const auto cb = [&result](V1_0::ErrorStatus status, const Capabilities& capabilities) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getCapabilities_1_2 failed with " << toString(status);
         } else {
-            result = validatedConvertToCanonical(capabilities);
+            result = nn::convert(capabilities);
         }
     };
 
@@ -74,8 +73,7 @@
                                             << "uninitialized";
     const auto cb = [&result](V1_0::ErrorStatus status, const hidl_string& versionString) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getVersionString failed with " << toString(status);
         } else {
             result = versionString;
@@ -95,8 +93,7 @@
                                                << "uninitialized";
     const auto cb = [&result](V1_0::ErrorStatus status, DeviceType deviceType) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getDeviceType failed with " << toString(status);
         } else {
             result = nn::convert(deviceType);
@@ -116,8 +113,7 @@
             NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "uninitialized";
     const auto cb = [&result](V1_0::ErrorStatus status, const hidl_vec<Extension>& extensions) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getExtensions failed with " << toString(status);
         } else {
             result = nn::convert(extensions);
@@ -139,8 +135,7 @@
     const auto cb = [&result](V1_0::ErrorStatus status, uint32_t numModelCache,
                               uint32_t numDataCache) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical)
                      << "getNumberOfCacheFilesNeeded failed with " << toString(status);
         } else {
@@ -238,8 +233,7 @@
     auto cb = [&result, &model](V1_0::ErrorStatus status,
                                 const hidl_vec<bool>& supportedOperations) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical)
                      << "getSupportedOperations_1_2 failed with " << toString(status);
         } else if (supportedOperations.size() != model.main.operations.size()) {
@@ -280,8 +274,7 @@
                                                hidlDataCache, hidlToken, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModel_1_2 failed with " << toString(status);
     }
 
@@ -301,8 +294,7 @@
     const auto ret = kDevice->prepareModelFromCache(hidlModelCache, hidlDataCache, hidlToken, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModelFromCache failed with " << toString(status);
     }
 
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index ff9db21..b5a3389 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -42,8 +42,7 @@
 
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionResultsHelper(const hidl_vec<OutputShape>& outputShapes, const Timing& timing) {
-    return std::make_pair(NN_TRY(validatedConvertToCanonical(outputShapes)),
-                          NN_TRY(validatedConvertToCanonical(timing)));
+    return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
 }
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> convertExecutionResults(
@@ -76,8 +75,7 @@
     const auto cb = [&result](V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
                               const Timing& timing) {
         if (status != V1_0::ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "executeSynchronously failed with " << toString(status);
         } else {
             result = convertExecutionResults(outputShapes, timing);
@@ -99,8 +97,7 @@
     const auto status =
             NN_TRY(hal::utils::makeExecutionFailure(hal::utils::handleTransportError(ret)));
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "execute failed with " << toString(status);
     }
 
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 64aa96e..9653a05 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
@@ -25,26 +25,41 @@
 
 namespace android::nn {
 
-GeneralResult<OperandType> convert(const hal::V1_3::OperandType& operandType);
-GeneralResult<OperationType> convert(const hal::V1_3::OperationType& operationType);
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_3::OperandType& operandType);
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_3::OperationType& operationType);
+GeneralResult<Priority> unvalidatedConvert(const hal::V1_3::Priority& priority);
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_3::Capabilities& capabilities);
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const hal::V1_3::Capabilities::OperandPerformance& operandPerformance);
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_3::Operation& operation);
+GeneralResult<Operand::LifeTime> unvalidatedConvert(
+        const hal::V1_3::OperandLifeTime& operandLifeTime);
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_3::Operand& operand);
+GeneralResult<Model> unvalidatedConvert(const hal::V1_3::Model& model);
+GeneralResult<Model::Subgraph> unvalidatedConvert(const hal::V1_3::Subgraph& subgraph);
+GeneralResult<BufferDesc> unvalidatedConvert(const hal::V1_3::BufferDesc& bufferDesc);
+GeneralResult<BufferRole> unvalidatedConvert(const hal::V1_3::BufferRole& bufferRole);
+GeneralResult<Request> unvalidatedConvert(const hal::V1_3::Request& request);
+GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const hal::V1_3::Request::MemoryPool& memoryPool);
+GeneralResult<OptionalTimePoint> unvalidatedConvert(
+        const hal::V1_3::OptionalTimePoint& optionalTimePoint);
+GeneralResult<OptionalTimeoutDuration> unvalidatedConvert(
+        const hal::V1_3::OptionalTimeoutDuration& optionalTimeoutDuration);
+GeneralResult<ErrorStatus> unvalidatedConvert(const hal::V1_3::ErrorStatus& errorStatus);
+
 GeneralResult<Priority> convert(const hal::V1_3::Priority& priority);
 GeneralResult<Capabilities> convert(const hal::V1_3::Capabilities& capabilities);
-GeneralResult<Capabilities::OperandPerformance> convert(
-        const hal::V1_3::Capabilities::OperandPerformance& operandPerformance);
-GeneralResult<Operation> convert(const hal::V1_3::Operation& operation);
-GeneralResult<Operand::LifeTime> convert(const hal::V1_3::OperandLifeTime& operandLifeTime);
-GeneralResult<Operand> convert(const hal::V1_3::Operand& operand);
 GeneralResult<Model> convert(const hal::V1_3::Model& model);
-GeneralResult<Model::Subgraph> convert(const hal::V1_3::Subgraph& subgraph);
 GeneralResult<BufferDesc> convert(const hal::V1_3::BufferDesc& bufferDesc);
-GeneralResult<BufferRole> convert(const hal::V1_3::BufferRole& bufferRole);
 GeneralResult<Request> convert(const hal::V1_3::Request& request);
-GeneralResult<Request::MemoryPool> convert(const hal::V1_3::Request::MemoryPool& memoryPool);
 GeneralResult<OptionalTimePoint> convert(const hal::V1_3::OptionalTimePoint& optionalTimePoint);
 GeneralResult<OptionalTimeoutDuration> convert(
         const hal::V1_3::OptionalTimeoutDuration& optionalTimeoutDuration);
 GeneralResult<ErrorStatus> convert(const hal::V1_3::ErrorStatus& errorStatus);
 
+GeneralResult<SharedHandle> convert(const hardware::hidl_handle& handle);
+GeneralResult<Memory> convert(const hardware::hidl_memory& memory);
 GeneralResult<std::vector<BufferRole>> convert(
         const hardware::hidl_vec<hal::V1_3::BufferRole>& bufferRoles);
 
@@ -52,26 +67,40 @@
 
 namespace android::hardware::neuralnetworks::V1_3::utils {
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType);
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType);
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType);
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType);
+nn::GeneralResult<Priority> unvalidatedConvert(const nn::Priority& priority);
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities);
+nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
+        const nn::Capabilities::OperandPerformance& operandPerformance);
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation);
+nn::GeneralResult<OperandLifeTime> unvalidatedConvert(const nn::Operand::LifeTime& operandLifeTime);
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand);
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
+nn::GeneralResult<Subgraph> unvalidatedConvert(const nn::Model::Subgraph& subgraph);
+nn::GeneralResult<BufferDesc> unvalidatedConvert(const nn::BufferDesc& bufferDesc);
+nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRole);
+nn::GeneralResult<Request> unvalidatedConvert(const nn::Request& request);
+nn::GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const nn::Request::MemoryPool& memoryPool);
+nn::GeneralResult<OptionalTimePoint> unvalidatedConvert(
+        const nn::OptionalTimePoint& optionalTimePoint);
+nn::GeneralResult<OptionalTimeoutDuration> unvalidatedConvert(
+        const nn::OptionalTimeoutDuration& optionalTimeoutDuration);
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& errorStatus);
+
 nn::GeneralResult<Priority> convert(const nn::Priority& priority);
 nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities);
-nn::GeneralResult<Capabilities::OperandPerformance> convert(
-        const nn::Capabilities::OperandPerformance& operandPerformance);
-nn::GeneralResult<Operation> convert(const nn::Operation& operation);
-nn::GeneralResult<OperandLifeTime> convert(const nn::Operand::LifeTime& operandLifeTime);
-nn::GeneralResult<Operand> convert(const nn::Operand& operand);
 nn::GeneralResult<Model> convert(const nn::Model& model);
-nn::GeneralResult<Subgraph> convert(const nn::Model::Subgraph& subgraph);
 nn::GeneralResult<BufferDesc> convert(const nn::BufferDesc& bufferDesc);
-nn::GeneralResult<BufferRole> convert(const nn::BufferRole& bufferRole);
 nn::GeneralResult<Request> convert(const nn::Request& request);
-nn::GeneralResult<Request::MemoryPool> convert(const nn::Request::MemoryPool& memoryPool);
 nn::GeneralResult<OptionalTimePoint> convert(const nn::OptionalTimePoint& optionalTimePoint);
 nn::GeneralResult<OptionalTimeoutDuration> convert(
         const nn::OptionalTimeoutDuration& optionalTimeoutDuration);
 nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& errorStatus);
 
+nn::GeneralResult<hidl_handle> convert(const nn::SharedHandle& handle);
+nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory);
 nn::GeneralResult<hidl_vec<BufferRole>> convert(const std::vector<nn::BufferRole>& bufferRoles);
 
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
index e61859d..29b0c80 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
@@ -22,9 +22,7 @@
 #include <android-base/logging.h>
 #include <android/hardware/neuralnetworks/1.3/types.h>
 #include <nnapi/Result.h>
-#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.1/Conversions.h>
 #include <nnapi/hal/1.2/Conversions.h>
@@ -32,7 +30,6 @@
 namespace android::hardware::neuralnetworks::V1_3::utils {
 
 constexpr auto kDefaultPriority = Priority::MEDIUM;
-constexpr auto kVersion = nn::Version::ANDROID_R;
 
 template <typename Type>
 nn::Result<void> validate(const Type& halObject) {
@@ -40,11 +37,6 @@
     if (!maybeCanonical.has_value()) {
         return nn::error() << maybeCanonical.error().message;
     }
-    const auto version = NN_TRY(nn::validate(maybeCanonical.value()));
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
     return {};
 }
 
@@ -57,21 +49,6 @@
     return result.has_value();
 }
 
-template <typename Type>
-decltype(nn::convert(std::declval<Type>())) validatedConvertToCanonical(const Type& halObject) {
-    auto canonical = NN_TRY(nn::convert(halObject));
-    const auto maybeVersion = nn::validate(canonical);
-    if (!maybeVersion.has_value()) {
-        return nn::error() << maybeVersion.error();
-    }
-    const auto version = maybeVersion.value();
-    if (version > utils::kVersion) {
-        return NN_ERROR() << "Insufficient version: " << version << " vs required "
-                          << utils::kVersion;
-    }
-    return canonical;
-}
-
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
 
 #endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_H
diff --git a/neuralnetworks/1.3/utils/src/Buffer.cpp b/neuralnetworks/1.3/utils/src/Buffer.cpp
index f3fe9b5..a880031 100644
--- a/neuralnetworks/1.3/utils/src/Buffer.cpp
+++ b/neuralnetworks/1.3/utils/src/Buffer.cpp
@@ -61,13 +61,12 @@
 }
 
 nn::GeneralResult<void> Buffer::copyTo(const nn::Memory& dst) const {
-    const auto hidlDst = NN_TRY(V1_0::utils::convert(dst));
+    const auto hidlDst = NN_TRY(convert(dst));
 
     const auto ret = kBuffer->copyTo(hidlDst);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "IBuffer::copyTo failed with " << toString(status);
     }
 
@@ -76,14 +75,13 @@
 
 nn::GeneralResult<void> Buffer::copyFrom(const nn::Memory& src,
                                          const nn::Dimensions& dimensions) const {
-    const auto hidlSrc = NN_TRY(V1_0::utils::convert(src));
+    const auto hidlSrc = NN_TRY(convert(src));
     const auto hidlDimensions = hidl_vec<uint32_t>(dimensions);
 
     const auto ret = kBuffer->copyFrom(hidlSrc, hidlDimensions);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "IBuffer::copyFrom failed with " << toString(status);
     }
 
diff --git a/neuralnetworks/1.3/utils/src/Callbacks.cpp b/neuralnetworks/1.3/utils/src/Callbacks.cpp
index ff81275..e3c6074 100644
--- a/neuralnetworks/1.3/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.3/utils/src/Callbacks.cpp
@@ -60,8 +60,7 @@
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionGeneralResultsHelper(const hidl_vec<V1_2::OutputShape>& outputShapes,
                                      const V1_2::Timing& timing) {
-    return std::make_pair(NN_TRY(validatedConvertToCanonical(outputShapes)),
-                          NN_TRY(validatedConvertToCanonical(timing)));
+    return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
 }
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
@@ -76,8 +75,7 @@
 Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
                                            const sp<V1_0::IPreparedModel>& preparedModel) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -91,8 +89,7 @@
 Return<void> PreparedModelCallback::notify_1_2(V1_0::ErrorStatus status,
                                                const sp<V1_2::IPreparedModel>& preparedModel) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -106,8 +103,7 @@
 Return<void> PreparedModelCallback::notify_1_3(ErrorStatus status,
                                                const sp<IPreparedModel>& preparedModel) {
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "preparedModel failed with " << toString(status));
     } else if (preparedModel == nullptr) {
         notifyInternal(NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -134,8 +130,7 @@
 
 Return<void> ExecutionCallback::notify(V1_0::ErrorStatus status) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal({});
@@ -147,8 +142,7 @@
                                            const hidl_vec<V1_2::OutputShape>& outputShapes,
                                            const V1_2::Timing& timing) {
     if (status != V1_0::ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal(convertExecutionGeneralResults(outputShapes, timing));
@@ -160,8 +154,7 @@
                                            const hidl_vec<V1_2::OutputShape>& outputShapes,
                                            const V1_2::Timing& timing) {
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         notifyInternal(NN_ERROR(canonical) << "execute failed with " << toString(status));
     } else {
         notifyInternal(convertExecutionGeneralResults(outputShapes, timing));
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 0dc0785..949dd0d 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -24,6 +24,7 @@
 #include <nnapi/SharedMemory.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
+#include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.2/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
@@ -44,6 +45,8 @@
     return static_cast<std::underlying_type_t<Type>>(value);
 }
 
+constexpr auto kVersion = android::nn::Version::ANDROID_R;
+
 }  // namespace
 
 namespace android::nn {
@@ -77,110 +80,140 @@
 using hardware::hidl_vec;
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-GeneralResult<std::vector<ConvertOutput<Type>>> convertVec(const hidl_vec<Type>& arguments) {
-    std::vector<ConvertOutput<Type>> canonical;
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
     canonical.reserve(arguments.size());
     for (const auto& argument : arguments) {
-        canonical.push_back(NN_TRY(nn::convert(argument)));
+        canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
     }
     return canonical;
 }
 
 template <typename Type>
-GeneralResult<std::vector<ConvertOutput<Type>>> convert(const hidl_vec<Type>& arguments) {
-    return convertVec(arguments);
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const hidl_vec<Type>& arguments) {
+    return unvalidatedConvertVec(arguments);
+}
+
+template <typename Type>
+decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+    auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
+    const auto maybeVersion = validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return canonical;
+}
+
+template <typename Type>
+GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> validatedConvert(
+        const hidl_vec<Type>& arguments) {
+    std::vector<unvalidatedConvertOutput<Type>> canonical;
+    canonical.reserve(arguments.size());
+    for (const auto& argument : arguments) {
+        canonical.push_back(NN_TRY(validatedConvert(argument)));
+    }
+    return canonical;
 }
 
 }  // anonymous namespace
 
-GeneralResult<OperandType> convert(const hal::V1_3::OperandType& operandType) {
+GeneralResult<OperandType> unvalidatedConvert(const hal::V1_3::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-GeneralResult<OperationType> convert(const hal::V1_3::OperationType& operationType) {
+GeneralResult<OperationType> unvalidatedConvert(const hal::V1_3::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-GeneralResult<Priority> convert(const hal::V1_3::Priority& priority) {
+GeneralResult<Priority> unvalidatedConvert(const hal::V1_3::Priority& priority) {
     return static_cast<Priority>(priority);
 }
 
-GeneralResult<Capabilities> convert(const hal::V1_3::Capabilities& capabilities) {
+GeneralResult<Capabilities> unvalidatedConvert(const hal::V1_3::Capabilities& capabilities) {
     const bool validOperandTypes = std::all_of(
             capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
             [](const hal::V1_3::Capabilities::OperandPerformance& operandPerformance) {
-                const auto maybeType = convert(operandPerformance.type);
+                const auto maybeType = unvalidatedConvert(operandPerformance.type);
                 return !maybeType.has_value() ? false : validOperandType(maybeType.value());
             });
     if (!validOperandTypes) {
         return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-               << "Invalid OperandType when converting OperandPerformance in Capabilities";
+               << "Invalid OperandType when unvalidatedConverting OperandPerformance in "
+                  "Capabilities";
     }
 
-    auto operandPerformance = NN_TRY(convert(capabilities.operandPerformance));
+    auto operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance));
     auto table = NN_TRY(hal::utils::makeGeneralFailure(
             Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)),
             nn::ErrorStatus::GENERAL_FAILURE));
 
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
+            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
             .operandPerformance = std::move(table),
-            .ifPerformance = NN_TRY(convert(capabilities.ifPerformance)),
-            .whilePerformance = NN_TRY(convert(capabilities.whilePerformance)),
+            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
+            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
     };
 }
 
-GeneralResult<Capabilities::OperandPerformance> convert(
+GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const hal::V1_3::Capabilities::OperandPerformance& operandPerformance) {
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(convert(operandPerformance.type)),
-            .info = NN_TRY(convert(operandPerformance.info)),
+            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
+            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
     };
 }
 
-GeneralResult<Operation> convert(const hal::V1_3::Operation& operation) {
+GeneralResult<Operation> unvalidatedConvert(const hal::V1_3::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-GeneralResult<Operand::LifeTime> convert(const hal::V1_3::OperandLifeTime& operandLifeTime) {
+GeneralResult<Operand::LifeTime> unvalidatedConvert(
+        const hal::V1_3::OperandLifeTime& operandLifeTime) {
     return static_cast<Operand::LifeTime>(operandLifeTime);
 }
 
-GeneralResult<Operand> convert(const hal::V1_3::Operand& operand) {
+GeneralResult<Operand> unvalidatedConvert(const hal::V1_3::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
-            .extraParams = NN_TRY(convert(operand.extraParams)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
     };
 }
 
-GeneralResult<Model> convert(const hal::V1_3::Model& model) {
+GeneralResult<Model> unvalidatedConvert(const hal::V1_3::Model& model) {
     return Model{
-            .main = NN_TRY(convert(model.main)),
-            .referenced = NN_TRY(convert(model.referenced)),
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .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(convert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
     };
 }
 
-GeneralResult<Model::Subgraph> convert(const hal::V1_3::Subgraph& subgraph) {
-    auto operations = NN_TRY(convert(subgraph.operations));
+GeneralResult<Model::Subgraph> unvalidatedConvert(const hal::V1_3::Subgraph& subgraph) {
+    auto operations = NN_TRY(unvalidatedConvert(subgraph.operations));
 
     // Verify number of consumers.
     const auto numberOfConsumers =
@@ -196,18 +229,18 @@
     }
 
     return Model::Subgraph{
-            .operands = NN_TRY(convert(subgraph.operands)),
+            .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
             .operations = std::move(operations),
             .inputIndexes = subgraph.inputIndexes,
             .outputIndexes = subgraph.outputIndexes,
     };
 }
 
-GeneralResult<BufferDesc> convert(const hal::V1_3::BufferDesc& bufferDesc) {
+GeneralResult<BufferDesc> unvalidatedConvert(const hal::V1_3::BufferDesc& bufferDesc) {
     return BufferDesc{.dimensions = bufferDesc.dimensions};
 }
 
-GeneralResult<BufferRole> convert(const hal::V1_3::BufferRole& bufferRole) {
+GeneralResult<BufferRole> unvalidatedConvert(const hal::V1_3::BufferRole& bufferRole) {
     return BufferRole{
             .modelIndex = bufferRole.modelIndex,
             .ioIndex = bufferRole.ioIndex,
@@ -215,15 +248,16 @@
     };
 }
 
-GeneralResult<Request> convert(const hal::V1_3::Request& request) {
+GeneralResult<Request> unvalidatedConvert(const hal::V1_3::Request& request) {
     return Request{
-            .inputs = NN_TRY(convert(request.inputs)),
-            .outputs = NN_TRY(convert(request.outputs)),
-            .pools = NN_TRY(convert(request.pools)),
+            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+            .pools = NN_TRY(unvalidatedConvert(request.pools)),
     };
 }
 
-GeneralResult<Request::MemoryPool> convert(const hal::V1_3::Request::MemoryPool& memoryPool) {
+GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const hal::V1_3::Request::MemoryPool& memoryPool) {
     using Discriminator = hal::V1_3::Request::MemoryPool::hidl_discriminator;
     switch (memoryPool.getDiscriminator()) {
         case Discriminator::hidlMemory:
@@ -236,12 +270,14 @@
            << underlyingType(memoryPool.getDiscriminator());
 }
 
-GeneralResult<OptionalTimePoint> convert(const hal::V1_3::OptionalTimePoint& optionalTimePoint) {
+GeneralResult<OptionalTimePoint> unvalidatedConvert(
+        const hal::V1_3::OptionalTimePoint& optionalTimePoint) {
     constexpr auto kTimePointMaxCount = TimePoint::max().time_since_epoch().count();
     const auto makeTimePoint = [](uint64_t count) -> GeneralResult<OptionalTimePoint> {
         if (count > kTimePointMaxCount) {
             return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-                   << "Unable to convert OptionalTimePoint because the count exceeds the max";
+                   << "Unable to unvalidatedConvert OptionalTimePoint because the count exceeds "
+                      "the max";
         }
         const auto nanoseconds = std::chrono::nanoseconds{count};
         return TimePoint{nanoseconds};
@@ -259,13 +295,14 @@
            << underlyingType(optionalTimePoint.getDiscriminator());
 }
 
-GeneralResult<OptionalTimeoutDuration> convert(
+GeneralResult<OptionalTimeoutDuration> unvalidatedConvert(
         const hal::V1_3::OptionalTimeoutDuration& optionalTimeoutDuration) {
     constexpr auto kTimeoutDurationMaxCount = TimeoutDuration::max().count();
     const auto makeTimeoutDuration = [](uint64_t count) -> GeneralResult<OptionalTimeoutDuration> {
         if (count > kTimeoutDurationMaxCount) {
             return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-                   << "Unable to convert OptionalTimeoutDuration because the count exceeds the max";
+                   << "Unable to unvalidatedConvert OptionalTimeoutDuration because the count "
+                      "exceeds the max";
         }
         return TimeoutDuration{count};
     };
@@ -282,7 +319,7 @@
            << underlyingType(optionalTimeoutDuration.getDiscriminator());
 }
 
-GeneralResult<ErrorStatus> convert(const hal::V1_3::ErrorStatus& status) {
+GeneralResult<ErrorStatus> unvalidatedConvert(const hal::V1_3::ErrorStatus& status) {
     switch (status) {
         case hal::V1_3::ErrorStatus::NONE:
         case hal::V1_3::ErrorStatus::DEVICE_UNAVAILABLE:
@@ -299,9 +336,50 @@
            << "Invalid ErrorStatus " << underlyingType(status);
 }
 
+GeneralResult<Priority> convert(const hal::V1_3::Priority& priority) {
+    return validatedConvert(priority);
+}
+
+GeneralResult<Capabilities> convert(const hal::V1_3::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+GeneralResult<Model> convert(const hal::V1_3::Model& model) {
+    return validatedConvert(model);
+}
+
+GeneralResult<BufferDesc> convert(const hal::V1_3::BufferDesc& bufferDesc) {
+    return validatedConvert(bufferDesc);
+}
+
+GeneralResult<Request> convert(const hal::V1_3::Request& request) {
+    return validatedConvert(request);
+}
+
+GeneralResult<OptionalTimePoint> convert(const hal::V1_3::OptionalTimePoint& optionalTimePoint) {
+    return validatedConvert(optionalTimePoint);
+}
+
+GeneralResult<OptionalTimeoutDuration> convert(
+        const hal::V1_3::OptionalTimeoutDuration& optionalTimeoutDuration) {
+    return validatedConvert(optionalTimeoutDuration);
+}
+
+GeneralResult<ErrorStatus> convert(const hal::V1_3::ErrorStatus& errorStatus) {
+    return validatedConvert(errorStatus);
+}
+
+GeneralResult<SharedHandle> convert(const hardware::hidl_handle& handle) {
+    return validatedConvert(handle);
+}
+
+GeneralResult<Memory> convert(const hardware::hidl_memory& memory) {
+    return validatedConvert(memory);
+}
+
 GeneralResult<std::vector<BufferRole>> convert(
         const hardware::hidl_vec<hal::V1_3::BufferRole>& bufferRoles) {
-    return convertVec(bufferRoles);
+    return validatedConvert(bufferRoles);
 }
 
 }  // namespace android::nn
@@ -309,58 +387,67 @@
 namespace android::hardware::neuralnetworks::V1_3::utils {
 namespace {
 
-using utils::convert;
+using utils::unvalidatedConvert;
 
-nn::GeneralResult<V1_0::PerformanceInfo> convert(
+nn::GeneralResult<V1_0::PerformanceInfo> unvalidatedConvert(
         const nn::Capabilities::PerformanceInfo& performanceInfo) {
-    return V1_0::utils::convert(performanceInfo);
+    return V1_0::utils::unvalidatedConvert(performanceInfo);
 }
 
-nn::GeneralResult<V1_0::DataLocation> convert(const nn::DataLocation& dataLocation) {
-    return V1_0::utils::convert(dataLocation);
+nn::GeneralResult<V1_0::DataLocation> unvalidatedConvert(const nn::DataLocation& dataLocation) {
+    return V1_0::utils::unvalidatedConvert(dataLocation);
 }
 
-nn::GeneralResult<hidl_vec<uint8_t>> convert(const nn::Model::OperandValues& operandValues) {
-    return V1_0::utils::convert(operandValues);
+nn::GeneralResult<hidl_vec<uint8_t>> unvalidatedConvert(
+        const nn::Model::OperandValues& operandValues) {
+    return V1_0::utils::unvalidatedConvert(operandValues);
 }
 
-nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory) {
-    return V1_0::utils::convert(memory);
+nn::GeneralResult<hidl_handle> unvalidatedConvert(const nn::SharedHandle& handle) {
+    return V1_2::utils::unvalidatedConvert(handle);
 }
 
-nn::GeneralResult<V1_0::RequestArgument> convert(const nn::Request::Argument& argument) {
-    return V1_0::utils::convert(argument);
+nn::GeneralResult<hidl_memory> unvalidatedConvert(const nn::Memory& memory) {
+    return V1_0::utils::unvalidatedConvert(memory);
 }
 
-nn::GeneralResult<V1_2::Operand::ExtraParams> convert(const nn::Operand::ExtraParams& extraParams) {
-    return V1_2::utils::convert(extraParams);
+nn::GeneralResult<V1_0::RequestArgument> unvalidatedConvert(const nn::Request::Argument& argument) {
+    return V1_0::utils::unvalidatedConvert(argument);
 }
 
-nn::GeneralResult<V1_2::Model::ExtensionNameAndPrefix> convert(
+nn::GeneralResult<V1_2::Operand::ExtraParams> unvalidatedConvert(
+        const nn::Operand::ExtraParams& extraParams) {
+    return V1_2::utils::unvalidatedConvert(extraParams);
+}
+
+nn::GeneralResult<V1_2::Model::ExtensionNameAndPrefix> unvalidatedConvert(
         const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix) {
-    return V1_2::utils::convert(extensionNameAndPrefix);
+    return V1_2::utils::unvalidatedConvert(extensionNameAndPrefix);
 }
 
 template <typename Input>
-using ConvertOutput = std::decay_t<decltype(convert(std::declval<Input>()).value())>;
+using unvalidatedConvertOutput =
+        std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<ConvertOutput<Type>>> convertVec(const std::vector<Type>& arguments) {
-    hidl_vec<ConvertOutput<Type>> halObject(arguments.size());
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
     for (size_t i = 0; i < arguments.size(); ++i) {
-        halObject[i] = NN_TRY(convert(arguments[i]));
+        halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
     }
     return halObject;
 }
 
 template <typename Type>
-nn::GeneralResult<hidl_vec<ConvertOutput<Type>>> convert(const std::vector<Type>& arguments) {
-    return convertVec(arguments);
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+        const std::vector<Type>& arguments) {
+    return unvalidatedConvertVec(arguments);
 }
 
 nn::GeneralResult<Request::MemoryPool> makeMemoryPool(const nn::Memory& memory) {
     Request::MemoryPool ret;
-    ret.hidlMemory(NN_TRY(convert(memory)));
+    ret.hidlMemory(NN_TRY(unvalidatedConvert(memory)));
     return ret;
 }
 
@@ -374,21 +461,46 @@
     return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "Unable to make memory pool from IBuffer";
 }
 
+using utils::unvalidatedConvert;
+
+template <typename Type>
+decltype(unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
+    const auto maybeVersion = nn::validate(canonical);
+    if (!maybeVersion.has_value()) {
+        return nn::error() << maybeVersion.error();
+    }
+    const auto version = maybeVersion.value();
+    if (version > kVersion) {
+        return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+    }
+    return unvalidatedConvert(canonical);
+}
+
+template <typename Type>
+nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> validatedConvert(
+        const std::vector<Type>& arguments) {
+    hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+    for (size_t i = 0; i < arguments.size(); ++i) {
+        halObject[i] = NN_TRY(validatedConvert(arguments[i]));
+    }
+    return halObject;
+}
+
 }  // anonymous namespace
 
-nn::GeneralResult<OperandType> convert(const nn::OperandType& operandType) {
+nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
     return static_cast<OperandType>(operandType);
 }
 
-nn::GeneralResult<OperationType> convert(const nn::OperationType& operationType) {
+nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
     return static_cast<OperationType>(operationType);
 }
 
-nn::GeneralResult<Priority> convert(const nn::Priority& priority) {
+nn::GeneralResult<Priority> unvalidatedConvert(const nn::Priority& priority) {
     return static_cast<Priority>(priority);
 }
 
-nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
     std::vector<nn::Capabilities::OperandPerformance> operandPerformance;
     operandPerformance.reserve(capabilities.operandPerformance.asVector().size());
     std::copy_if(capabilities.operandPerformance.asVector().begin(),
@@ -399,71 +511,72 @@
                  });
 
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor =
-                    NN_TRY(convert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
-            .operandPerformance = NN_TRY(convert(operandPerformance)),
-            .ifPerformance = NN_TRY(convert(capabilities.ifPerformance)),
-            .whilePerformance = NN_TRY(convert(capabilities.whilePerformance)),
+            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
+            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
+                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .operandPerformance = NN_TRY(unvalidatedConvert(operandPerformance)),
+            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
+            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
     };
 }
 
-nn::GeneralResult<Capabilities::OperandPerformance> convert(
+nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const nn::Capabilities::OperandPerformance& operandPerformance) {
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(convert(operandPerformance.type)),
-            .info = NN_TRY(convert(operandPerformance.info)),
+            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
+            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
     };
 }
 
-nn::GeneralResult<Operation> convert(const nn::Operation& operation) {
+nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
     return Operation{
-            .type = NN_TRY(convert(operation.type)),
+            .type = NN_TRY(unvalidatedConvert(operation.type)),
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
 }
 
-nn::GeneralResult<OperandLifeTime> convert(const nn::Operand::LifeTime& operandLifeTime) {
+nn::GeneralResult<OperandLifeTime> unvalidatedConvert(
+        const nn::Operand::LifeTime& operandLifeTime) {
     if (operandLifeTime == nn::Operand::LifeTime::POINTER) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Model cannot be converted because it contains pointer-based memory";
+               << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
     return static_cast<OperandLifeTime>(operandLifeTime);
 }
 
-nn::GeneralResult<Operand> convert(const nn::Operand& operand) {
+nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
     return Operand{
-            .type = NN_TRY(convert(operand.type)),
+            .type = NN_TRY(unvalidatedConvert(operand.type)),
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(convert(operand.lifetime)),
-            .location = NN_TRY(convert(operand.location)),
-            .extraParams = NN_TRY(convert(operand.extraParams)),
+            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
+            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
     };
 }
 
-nn::GeneralResult<Model> convert(const nn::Model& model) {
+nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
     if (!hal::utils::hasNoPointerData(model)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Model cannot be converted because it contains pointer-based memory";
+               << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
     return Model{
-            .main = NN_TRY(convert(model.main)),
-            .referenced = NN_TRY(convert(model.referenced)),
-            .operandValues = NN_TRY(convert(model.operandValues)),
-            .pools = NN_TRY(convert(model.pools)),
+            .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(convert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
     };
 }
 
-nn::GeneralResult<Subgraph> convert(const nn::Model::Subgraph& subgraph) {
-    auto operands = NN_TRY(convert(subgraph.operands));
+nn::GeneralResult<Subgraph> unvalidatedConvert(const nn::Model::Subgraph& subgraph) {
+    auto operands = NN_TRY(unvalidatedConvert(subgraph.operands));
 
     // Update number of consumers.
     const auto numberOfConsumers =
@@ -475,17 +588,17 @@
 
     return Subgraph{
             .operands = std::move(operands),
-            .operations = NN_TRY(convert(subgraph.operations)),
+            .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
             .inputIndexes = subgraph.inputIndexes,
             .outputIndexes = subgraph.outputIndexes,
     };
 }
 
-nn::GeneralResult<BufferDesc> convert(const nn::BufferDesc& bufferDesc) {
+nn::GeneralResult<BufferDesc> unvalidatedConvert(const nn::BufferDesc& bufferDesc) {
     return BufferDesc{.dimensions = bufferDesc.dimensions};
 }
 
-nn::GeneralResult<BufferRole> convert(const nn::BufferRole& bufferRole) {
+nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRole) {
     return BufferRole{
             .modelIndex = bufferRole.modelIndex,
             .ioIndex = bufferRole.ioIndex,
@@ -493,30 +606,33 @@
     };
 }
 
-nn::GeneralResult<Request> convert(const nn::Request& request) {
+nn::GeneralResult<Request> unvalidatedConvert(const nn::Request& request) {
     if (!hal::utils::hasNoPointerData(request)) {
         return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
-               << "Request cannot be converted because it contains pointer-based memory";
+               << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
     return Request{
-            .inputs = NN_TRY(convert(request.inputs)),
-            .outputs = NN_TRY(convert(request.outputs)),
-            .pools = NN_TRY(convert(request.pools)),
+            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
+            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+            .pools = NN_TRY(unvalidatedConvert(request.pools)),
     };
 }
 
-nn::GeneralResult<Request::MemoryPool> convert(const nn::Request::MemoryPool& memoryPool) {
+nn::GeneralResult<Request::MemoryPool> unvalidatedConvert(
+        const nn::Request::MemoryPool& memoryPool) {
     return std::visit([](const auto& o) { return makeMemoryPool(o); }, memoryPool);
 }
 
-nn::GeneralResult<OptionalTimePoint> convert(const nn::OptionalTimePoint& optionalTimePoint) {
+nn::GeneralResult<OptionalTimePoint> unvalidatedConvert(
+        const nn::OptionalTimePoint& optionalTimePoint) {
     OptionalTimePoint ret;
     if (optionalTimePoint.has_value()) {
         const auto count = optionalTimePoint.value().time_since_epoch().count();
         if (count < 0) {
             return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-                   << "Unable to convert OptionalTimePoint because time since epoch count is "
+                   << "Unable to unvalidatedConvert OptionalTimePoint because time since epoch "
+                      "count is "
                       "negative";
         }
         ret.nanosecondsSinceEpoch(count);
@@ -524,21 +640,22 @@
     return ret;
 }
 
-nn::GeneralResult<OptionalTimeoutDuration> convert(
+nn::GeneralResult<OptionalTimeoutDuration> unvalidatedConvert(
         const nn::OptionalTimeoutDuration& optionalTimeoutDuration) {
     OptionalTimeoutDuration ret;
     if (optionalTimeoutDuration.has_value()) {
         const auto count = optionalTimeoutDuration.value().count();
         if (count < 0) {
             return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
-                   << "Unable to convert OptionalTimeoutDuration because count is negative";
+                   << "Unable to unvalidatedConvert OptionalTimeoutDuration because count is "
+                      "negative";
         }
         ret.nanoseconds(count);
     }
     return ret;
 }
 
-nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& errorStatus) {
+nn::GeneralResult<ErrorStatus> unvalidatedConvert(const nn::ErrorStatus& errorStatus) {
     switch (errorStatus) {
         case nn::ErrorStatus::NONE:
         case nn::ErrorStatus::DEVICE_UNAVAILABLE:
@@ -555,8 +672,49 @@
     }
 }
 
+nn::GeneralResult<Priority> convert(const nn::Priority& priority) {
+    return validatedConvert(priority);
+}
+
+nn::GeneralResult<Capabilities> convert(const nn::Capabilities& capabilities) {
+    return validatedConvert(capabilities);
+}
+
+nn::GeneralResult<Model> convert(const nn::Model& model) {
+    return validatedConvert(model);
+}
+
+nn::GeneralResult<BufferDesc> convert(const nn::BufferDesc& bufferDesc) {
+    return validatedConvert(bufferDesc);
+}
+
+nn::GeneralResult<Request> convert(const nn::Request& request) {
+    return validatedConvert(request);
+}
+
+nn::GeneralResult<OptionalTimePoint> convert(const nn::OptionalTimePoint& optionalTimePoint) {
+    return validatedConvert(optionalTimePoint);
+}
+
+nn::GeneralResult<OptionalTimeoutDuration> convert(
+        const nn::OptionalTimeoutDuration& optionalTimeoutDuration) {
+    return validatedConvert(optionalTimeoutDuration);
+}
+
+nn::GeneralResult<ErrorStatus> convert(const nn::ErrorStatus& errorStatus) {
+    return validatedConvert(errorStatus);
+}
+
+nn::GeneralResult<hidl_handle> convert(const nn::SharedHandle& handle) {
+    return validatedConvert(handle);
+}
+
+nn::GeneralResult<hidl_memory> convert(const nn::Memory& memory) {
+    return validatedConvert(memory);
+}
+
 nn::GeneralResult<hidl_vec<BufferRole>> convert(const std::vector<nn::BufferRole>& bufferRoles) {
-    return convertVec(bufferRoles);
+    return validatedConvert(bufferRoles);
 }
 
 }  // namespace android::hardware::neuralnetworks::V1_3::utils
diff --git a/neuralnetworks/1.3/utils/src/Device.cpp b/neuralnetworks/1.3/utils/src/Device.cpp
index 0fa244d..7a7e251 100644
--- a/neuralnetworks/1.3/utils/src/Device.cpp
+++ b/neuralnetworks/1.3/utils/src/Device.cpp
@@ -78,11 +78,10 @@
                                                  << "uninitialized";
     const auto cb = [&result](ErrorStatus status, const Capabilities& capabilities) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "getCapabilities_1_3 failed with " << toString(status);
         } else {
-            result = validatedConvertToCanonical(capabilities);
+            result = nn::convert(capabilities);
         }
     };
 
@@ -178,8 +177,7 @@
                                                   << "uninitialized";
     auto cb = [&result, &model](ErrorStatus status, const hidl_vec<bool>& supportedOperations) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical)
                      << "IDevice::getSupportedOperations_1_3 failed with " << toString(status);
         } else if (supportedOperations.size() != model.main.operations.size()) {
@@ -223,8 +221,7 @@
                                       hidlModelCache, hidlDataCache, hidlToken, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModel_1_3 failed with " << toString(status);
     }
 
@@ -246,8 +243,7 @@
                                                         hidlToken, cb);
     const auto status = NN_TRY(hal::utils::handleTransportError(ret));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "prepareModelFromCache_1_3 failed with " << toString(status);
     }
 
@@ -267,8 +263,7 @@
                                                  << "uninitialized";
     auto cb = [&result](ErrorStatus status, const sp<IBuffer>& buffer, uint32_t token) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "IDevice::allocate failed with " << toString(status);
         } else if (buffer == nullptr) {
             result = NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "Returned buffer is nullptr";
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 2781053..5d82110 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -27,6 +27,7 @@
 #include <android/hardware/neuralnetworks/1.3/types.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
 #include <nnapi/hal/1.2/Conversions.h>
 #include <nnapi/hal/CommonUtils.h>
@@ -44,8 +45,7 @@
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
 convertExecutionResultsHelper(const hidl_vec<V1_2::OutputShape>& outputShapes,
                               const V1_2::Timing& timing) {
-    return std::make_pair(NN_TRY(validatedConvertToCanonical(outputShapes)),
-                          NN_TRY(validatedConvertToCanonical(timing)));
+    return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
 }
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> convertExecutionResults(
@@ -55,8 +55,7 @@
 
 nn::GeneralResult<std::pair<nn::Timing, nn::Timing>> convertFencedExecutionCallbackResults(
         const V1_2::Timing& timingLaunched, const V1_2::Timing& timingFenced) {
-    return std::make_pair(NN_TRY(validatedConvertToCanonical(timingLaunched)),
-                          NN_TRY(validatedConvertToCanonical(timingFenced)));
+    return std::make_pair(NN_TRY(nn::convert(timingLaunched)), NN_TRY(nn::convert(timingFenced)));
 }
 
 nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
@@ -64,9 +63,9 @@
                             const sp<IFencedExecutionCallback>& callback) {
     auto resultSyncFence = nn::SyncFence::createAsSignaled();
     if (syncFence.getNativeHandle() != nullptr) {
-        auto nativeHandle = NN_TRY(validatedConvertToCanonical(syncFence));
+        auto sharedHandle = NN_TRY(nn::convert(syncFence));
         resultSyncFence = NN_TRY(hal::utils::makeGeneralFailure(
-                nn::SyncFence::create(std::move(nativeHandle)), nn::ErrorStatus::GENERAL_FAILURE));
+                nn::SyncFence::create(std::move(sharedHandle)), nn::ErrorStatus::GENERAL_FAILURE));
     }
 
     if (callback == nullptr) {
@@ -81,8 +80,8 @@
         auto cb = [&result](ErrorStatus status, const V1_2::Timing& timingLaunched,
                             const V1_2::Timing& timingFenced) {
             if (status != ErrorStatus::NONE) {
-                const auto canonical = validatedConvertToCanonical(status).value_or(
-                        nn::ErrorStatus::GENERAL_FAILURE);
+                const auto canonical =
+                        nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
                 result = NN_ERROR(canonical) << "getExecutionInfo failed with " << toString(status);
             } else {
                 result = convertFencedExecutionCallbackResults(timingLaunched, timingFenced);
@@ -125,8 +124,7 @@
     const auto cb = [&result](ErrorStatus status, const hidl_vec<V1_2::OutputShape>& outputShapes,
                               const V1_2::Timing& timing) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "executeSynchronously failed with " << toString(status);
         } else {
             result = convertExecutionResults(outputShapes, timing);
@@ -152,8 +150,7 @@
     const auto status =
             NN_TRY(hal::utils::makeExecutionFailure(hal::utils::handleTransportError(ret)));
     if (status != ErrorStatus::NONE) {
-        const auto canonical =
-                validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+        const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
         return NN_ERROR(canonical) << "executeAsynchronously failed with " << toString(status);
     }
 
@@ -223,8 +220,7 @@
     auto cb = [&result](ErrorStatus status, const hidl_handle& syncFence,
                         const sp<IFencedExecutionCallback>& callback) {
         if (status != ErrorStatus::NONE) {
-            const auto canonical =
-                    validatedConvertToCanonical(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
+            const auto canonical = nn::convert(status).value_or(nn::ErrorStatus::GENERAL_FAILURE);
             result = NN_ERROR(canonical) << "executeFenced failed with " << toString(status);
         } else {
             result = convertExecuteFencedResults(syncFence, callback);
diff --git a/neuralnetworks/utils/README.md b/neuralnetworks/utils/README.md
new file mode 100644
index 0000000..0dee103
--- /dev/null
+++ b/neuralnetworks/utils/README.md
@@ -0,0 +1,50 @@
+# NNAPI Conversions
+
+`convert` fails if either the source type or the destination type is invalid, and it yields a valid
+object if the conversion succeeds. For example, let's say that an enumeration in the current
+version has fewer possible values than the "same" canonical enumeration, such as `OperationType`.
+The new value of `HARD_SWISH` (introduced in Android R / NN HAL 1.3) does not map to any valid
+existing value in `OperationType`, but an older value of `ADD` (introduced in Android OC-MR1 / NN
+HAL 1.0) is valid. This can be seen in the following model conversions:
+
+```cpp
+// Unsuccessful conversion
+const nn::Model canonicalModel = createModelWhichHasV1_3Operations();
+const nn::Result<V1_0::Model> maybeVersionedModel = V1_0::utils::convert(canonicalModel);
+EXPECT_FALSE(maybeVersionedModel.has_value());
+```
+```cpp
+// Successful conversion
+const nn::Model canonicalModel = createModelWhichHasOnlyV1_0Operations();
+const nn::Result<V1_0::Model> maybeVersionedModel = V1_0::utils::convert(canonicalModel);
+ASSERT_TRUE(maybeVersionedModel.has_value());
+const V1_0::Model& versionedModel = maybeVersionedModel.value();
+EXPECT_TRUE(V1_0::utils::valid(versionedModel));
+```
+
+`V1_X::utils::convert` does not guarantee that all information is preserved. For example, In the
+case of `nn::ErrorStatus`, the new value of `MISSED_DEADLINE_TRANSIENT` can be represented by the
+existing value of `V1_0::GENERAL_FAILURE`:
+
+```cpp
+// Lossy Canonical -> HAL -> Canonical conversion
+const nn::ErrorStatus canonicalBefore = nn::ErrorStatus::MISSED_DEADLINE_TRANSIENT;
+const V1_0::ErrorStatus versioned = V1_0::utils::convert(canonicalBefore).value();
+const nn::ErrorStatus canonicalAfter = nn::convert(versioned).value();
+EXPECT_NE(canonicalBefore, canonicalAfter);
+```
+
+However, `nn::convert` is guaranteed to preserve all information:
+
+```cpp
+// Lossless HAL -> Canonical -> HAL conversion
+const V1_0::ErrorStatus versionedBefore = V1_0::ErrorStatus::GENERAL_FAILURE;
+const nn::ErrorStatus canonical = nn::convert(versionedBefore).value();
+const V1_0::ErrorStatus versionedAfter = V1_0::utils::convert(canonical).value();
+EXPECT_EQ(versionedBefore, versionedAfter);
+```
+
+The `convert` functions operate only on types that used in a HIDL method call directly. The
+`unvalidatedConvert` functions operate on types that are either used in a HIDL method call directly
+(i.e., not as a nested class) or used in a subsequent version of the NN HAL. Prefer using `convert`
+over `unvalidatedConvert`.