diff --git a/neuralnetworks/1.0/utils/src/Conversions.cpp b/neuralnetworks/1.0/utils/src/Conversions.cpp
index daa10fd..d98fef0 100644
--- a/neuralnetworks/1.0/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.0/utils/src/Conversions.cpp
@@ -110,8 +110,9 @@
             return NN_ERROR() << "Unable to convert invalid ashmem memory object with "
                               << memory.handle()->numInts << " numInts, but expected 0";
         }
+        auto fd = NN_TRY(nn::dupFd(memory.handle()->data[0]));
         auto handle = nn::Memory::Ashmem{
-                .fd = NN_TRY(nn::dupFd(memory.handle()->data[0])),
+                .fd = std::move(fd),
                 .size = static_cast<size_t>(memory.size()),
         };
         return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
@@ -137,12 +138,13 @@
     }
 
     if (memory.name() != "hardware_buffer_blob") {
-        auto handle = nn::Memory::Unknown{
-                .handle = NN_TRY(unknownHandleFromNativeHandle(memory.handle())),
+        auto handle = NN_TRY(unknownHandleFromNativeHandle(memory.handle()));
+        auto unknown = nn::Memory::Unknown{
+                .handle = std::move(handle),
                 .size = static_cast<size_t>(memory.size()),
                 .name = memory.name(),
         };
-        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(handle)});
+        return std::make_shared<const nn::Memory>(nn::Memory{.handle = std::move(unknown)});
     }
 
 #ifdef __ANDROID__
@@ -245,19 +247,23 @@
 }
 
 GeneralResult<Operand> unvalidatedConvert(const hal::V1_0::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .lifetime = lifetime,
+            .location = location,
     };
 }
 
 GeneralResult<Operation> unvalidatedConvert(const hal::V1_0::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -298,26 +304,30 @@
         }
     }
 
+    auto operands = NN_TRY(unvalidatedConvert(model.operands));
     auto main = Model::Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(model.operands)),
+            .operands = std::move(operands),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
     };
 
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
     };
 }
 
 GeneralResult<Request::Argument> unvalidatedConvert(const hal::V1_0::RequestArgument& argument) {
     const auto lifetime = argument.hasNoValue ? Request::Argument::LifeTime::NO_VALUE
                                               : Request::Argument::LifeTime::POOL;
+    const auto location = NN_TRY(unvalidatedConvert(argument.location));
     return Request::Argument{
             .lifetime = lifetime,
-            .location = NN_TRY(unvalidatedConvert(argument.location)),
+            .location = location,
             .dimensions = argument.dimensions,
     };
 }
@@ -328,9 +338,11 @@
     pools.reserve(memories.size());
     std::move(memories.begin(), memories.end(), std::back_inserter(pools));
 
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
             .pools = std::move(pools),
     };
 }
@@ -500,11 +512,13 @@
 }
 
 nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
+    const auto float32Performance = NN_TRY(unvalidatedConvert(
+            capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32)));
+    const auto quantized8Performance = NN_TRY(unvalidatedConvert(
+            capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM)));
     return Capabilities{
-            .float32Performance = NN_TRY(unvalidatedConvert(
-                    capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32))),
-            .quantized8Performance = NN_TRY(unvalidatedConvert(
-                    capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM))),
+            .float32Performance = float32Performance,
+            .quantized8Performance = quantized8Performance,
     };
 }
 
@@ -517,20 +531,24 @@
 }
 
 nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
+            .lifetime = lifetime,
+            .location = location,
     };
 }
 
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -572,13 +590,16 @@
         operands[i].numberOfConsumers = numberOfConsumers[i];
     }
 
+    auto operations = NN_TRY(unvalidatedConvert(model.main.operations));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
+            .operations = std::move(operations),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
     };
 }
 
@@ -589,9 +610,10 @@
                << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
     const bool hasNoValue = requestArgument.lifetime == nn::Request::Argument::LifeTime::NO_VALUE;
+    const auto location = NN_TRY(unvalidatedConvert(requestArgument.location));
     return RequestArgument{
             .hasNoValue = hasNoValue,
-            .location = NN_TRY(unvalidatedConvert(requestArgument.location)),
+            .location = location,
             .dimensions = requestArgument.dimensions,
     };
 }
@@ -606,10 +628,13 @@
                << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
+    auto pools = NN_TRY(unvalidatedConvert(request.pools));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
-            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
+            .pools = std::move(pools),
     };
 }
 
diff --git a/neuralnetworks/1.1/utils/src/Conversions.cpp b/neuralnetworks/1.1/utils/src/Conversions.cpp
index 5bdbe31..887c8ec 100644
--- a/neuralnetworks/1.1/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.1/utils/src/Conversions.cpp
@@ -88,8 +88,9 @@
 }
 
 GeneralResult<Operation> unvalidatedConvert(const hal::V1_1::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -110,17 +111,20 @@
         }
     }
 
+    auto operands = NN_TRY(unvalidatedConvert(model.operands));
     auto main = Model::Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(model.operands)),
+            .operands = std::move(operands),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
     };
 
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
     };
 }
@@ -195,19 +199,23 @@
 }
 
 nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
+    const auto float32Performance = NN_TRY(unvalidatedConvert(
+            capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32)));
+    const auto quanitized8Performance = NN_TRY(unvalidatedConvert(
+            capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM)));
+    const auto relaxedFloat32toFloat16Performance =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
     return Capabilities{
-            .float32Performance = NN_TRY(unvalidatedConvert(
-                    capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_FLOAT32))),
-            .quantized8Performance = NN_TRY(unvalidatedConvert(
-                    capabilities.operandPerformance.lookup(nn::OperandType::TENSOR_QUANT8_ASYMM))),
-            .relaxedFloat32toFloat16Performance = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .float32Performance = float32Performance,
+            .quantized8Performance = quanitized8Performance,
+            .relaxedFloat32toFloat16Performance = relaxedFloat32toFloat16Performance,
     };
 }
 
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -229,13 +237,16 @@
         operands[i].numberOfConsumers = numberOfConsumers[i];
     }
 
+    auto operations = NN_TRY(unvalidatedConvert(model.main.operations));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
+            .operations = std::move(operations),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
     };
 }
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 62ec2ed..78d71cf 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -131,15 +131,18 @@
 
 GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const hal::V1_2::Capabilities::OperandPerformance& operandPerformance) {
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+            .type = type,
+            .info = info,
     };
 }
 
 GeneralResult<Operation> unvalidatedConvert(const hal::V1_2::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -154,14 +157,18 @@
 }
 
 GeneralResult<Operand> unvalidatedConvert(const hal::V1_2::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
@@ -196,19 +203,23 @@
         }
     }
 
+    auto operands = NN_TRY(unvalidatedConvert(model.operands));
     auto main = Model::Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(model.operands)),
+            .operands = std::move(operands),
             .operations = std::move(operations),
             .inputIndexes = model.inputIndexes,
             .outputIndexes = model.outputIndexes,
     };
 
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
             .main = std::move(main),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
@@ -248,9 +259,10 @@
 }
 
 GeneralResult<Extension> unvalidatedConvert(const hal::V1_2::Extension& extension) {
+    auto operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes));
     return Extension{
             .name = extension.name,
-            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
+            .operandTypes = std::move(operandTypes),
     };
 }
 
@@ -406,35 +418,41 @@
 }
 
 nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
-    std::vector<nn::Capabilities::OperandPerformance> operandPerformance;
-    operandPerformance.reserve(capabilities.operandPerformance.asVector().size());
+    std::vector<nn::Capabilities::OperandPerformance> filteredOperandPerformances;
+    filteredOperandPerformances.reserve(capabilities.operandPerformance.asVector().size());
     std::copy_if(capabilities.operandPerformance.asVector().begin(),
                  capabilities.operandPerformance.asVector().end(),
-                 std::back_inserter(operandPerformance),
+                 std::back_inserter(filteredOperandPerformances),
                  [](const nn::Capabilities::OperandPerformance& operandPerformance) {
                      return compliantVersion(operandPerformance.type).has_value();
                  });
 
+    const auto relaxedFloat32toFloat16PerformanceScalar =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    const auto relaxedFloat32toFloat16PerformanceTensor =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    auto operandPerformance = NN_TRY(unvalidatedConvert(filteredOperandPerformances));
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
-            .operandPerformance = NN_TRY(unvalidatedConvert(operandPerformance)),
+            .relaxedFloat32toFloat16PerformanceScalar = relaxedFloat32toFloat16PerformanceScalar,
+            .relaxedFloat32toFloat16PerformanceTensor = relaxedFloat32toFloat16PerformanceTensor,
+            .operandPerformance = std::move(operandPerformance),
     };
 }
 
 nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const nn::Capabilities::OperandPerformance& operandPerformance) {
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+            .type = type,
+            .info = info,
     };
 }
 
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -449,15 +467,19 @@
 }
 
 nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
@@ -482,15 +504,19 @@
         operands[i].numberOfConsumers = numberOfConsumers[i];
     }
 
+    auto operations = NN_TRY(unvalidatedConvert(model.main.operations));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
             .operands = std::move(operands),
-            .operations = NN_TRY(unvalidatedConvert(model.main.operations)),
+            .operations = std::move(operations),
             .inputIndexes = model.main.inputIndexes,
             .outputIndexes = model.main.outputIndexes,
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
@@ -524,9 +550,10 @@
 }
 
 nn::GeneralResult<Extension> unvalidatedConvert(const nn::Extension& extension) {
+    auto operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes));
     return Extension{
             .name = extension.name,
-            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
+            .operandTypes = std::move(operandTypes),
     };
 }
 
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 09e9d80..4eeb414 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -133,28 +133,35 @@
     auto table =
             NN_TRY(Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)));
 
+    const auto relaxedFloat32toFloat16PerformanceScalar =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    const auto relaxedFloat32toFloat16PerformanceTensor =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    const auto ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance));
+    const auto whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance));
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .relaxedFloat32toFloat16PerformanceScalar = relaxedFloat32toFloat16PerformanceScalar,
+            .relaxedFloat32toFloat16PerformanceTensor = relaxedFloat32toFloat16PerformanceTensor,
             .operandPerformance = std::move(table),
-            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
-            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
+            .ifPerformance = ifPerformance,
+            .whilePerformance = whilePerformance,
     };
 }
 
 GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const hal::V1_3::Capabilities::OperandPerformance& operandPerformance) {
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+            .type = type,
+            .info = info,
     };
 }
 
 GeneralResult<Operation> unvalidatedConvert(const hal::V1_3::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -166,25 +173,34 @@
 }
 
 GeneralResult<Operand> unvalidatedConvert(const hal::V1_3::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
 GeneralResult<Model> unvalidatedConvert(const hal::V1_3::Model& model) {
+    auto main = NN_TRY(unvalidatedConvert(model.main));
+    auto referenced = NN_TRY(unvalidatedConvert(model.referenced));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
-            .main = NN_TRY(unvalidatedConvert(model.main)),
-            .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .main = std::move(main),
+            .referenced = std::move(referenced),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
@@ -204,8 +220,9 @@
         }
     }
 
+    auto operands = NN_TRY(unvalidatedConvert(subgraph.operands));
     return Model::Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
+            .operands = std::move(operands),
             .operations = std::move(operations),
             .inputIndexes = subgraph.inputIndexes,
             .outputIndexes = subgraph.outputIndexes,
@@ -225,10 +242,13 @@
 }
 
 GeneralResult<Request> unvalidatedConvert(const hal::V1_3::Request& request) {
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
+    auto pools = NN_TRY(unvalidatedConvert(request.pools));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
-            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
+            .pools = std::move(pools),
     };
 }
 
@@ -463,37 +483,45 @@
 }
 
 nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
-    std::vector<nn::Capabilities::OperandPerformance> operandPerformance;
-    operandPerformance.reserve(capabilities.operandPerformance.asVector().size());
+    std::vector<nn::Capabilities::OperandPerformance> filteredOperandPerformances;
+    filteredOperandPerformances.reserve(capabilities.operandPerformance.asVector().size());
     std::copy_if(capabilities.operandPerformance.asVector().begin(),
                  capabilities.operandPerformance.asVector().end(),
-                 std::back_inserter(operandPerformance),
+                 std::back_inserter(filteredOperandPerformances),
                  [](const nn::Capabilities::OperandPerformance& operandPerformance) {
                      return compliantVersion(operandPerformance.type).has_value();
                  });
 
+    const auto relaxedFloat32toFloat16PerformanceScalar =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    const auto relaxedFloat32toFloat16PerformanceTensor =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    auto operandPerformance = NN_TRY(unvalidatedConvert(filteredOperandPerformances));
+    const auto ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance));
+    const auto whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance));
     return Capabilities{
-            .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)),
+            .relaxedFloat32toFloat16PerformanceScalar = relaxedFloat32toFloat16PerformanceScalar,
+            .relaxedFloat32toFloat16PerformanceTensor = relaxedFloat32toFloat16PerformanceTensor,
+            .operandPerformance = std::move(operandPerformance),
+            .ifPerformance = ifPerformance,
+            .whilePerformance = whilePerformance,
     };
 }
 
 nn::GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const nn::Capabilities::OperandPerformance& operandPerformance) {
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+            .type = type,
+            .info = info,
     };
 }
 
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
+            .type = type,
             .inputs = operation.inputs,
             .outputs = operation.outputs,
     };
@@ -509,15 +537,19 @@
 }
 
 nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
+            .type = type,
             .dimensions = operand.dimensions,
             .numberOfConsumers = 0,
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
@@ -527,13 +559,18 @@
                << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
+    auto main = NN_TRY(unvalidatedConvert(model.main));
+    auto referenced = NN_TRY(unvalidatedConvert(model.referenced));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
-            .main = NN_TRY(unvalidatedConvert(model.main)),
-            .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .main = std::move(main),
+            .referenced = std::move(referenced),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
@@ -548,9 +585,10 @@
         operands[i].numberOfConsumers = numberOfConsumers[i];
     }
 
+    auto operations = NN_TRY(unvalidatedConvert(subgraph.operations));
     return Subgraph{
             .operands = std::move(operands),
-            .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
+            .operations = std::move(operations),
             .inputIndexes = subgraph.inputIndexes,
             .outputIndexes = subgraph.outputIndexes,
     };
@@ -574,10 +612,13 @@
                << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
+    auto pools = NN_TRY(unvalidatedConvert(request.pools));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
-            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
+            .pools = std::move(pools),
     };
 }
 
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index 081e3d7..47c72b4 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -177,22 +177,28 @@
     auto table =
             NN_TRY(Capabilities::OperandPerformanceTable::create(std::move(operandPerformance)));
 
+    const auto relaxedFloat32toFloat16PerformanceScalar =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    const auto relaxedFloat32toFloat16PerformanceTensor =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    const auto ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance));
+    const auto whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance));
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
+            .relaxedFloat32toFloat16PerformanceScalar = relaxedFloat32toFloat16PerformanceScalar,
+            .relaxedFloat32toFloat16PerformanceTensor = relaxedFloat32toFloat16PerformanceTensor,
             .operandPerformance = std::move(table),
-            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
-            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
+            .ifPerformance = ifPerformance,
+            .whilePerformance = whilePerformance,
     };
 }
 
 GeneralResult<Capabilities::OperandPerformance> unvalidatedConvert(
         const aidl_hal::OperandPerformance& operandPerformance) {
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
     return Capabilities::OperandPerformance{
-            .type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-            .info = NN_TRY(unvalidatedConvert(operandPerformance.info)),
+            .type = type,
+            .info = info,
     };
 }
 
@@ -228,10 +234,13 @@
 }
 
 GeneralResult<Operation> unvalidatedConvert(const aidl_hal::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
+    auto inputs = NN_TRY(toUnsigned(operation.inputs));
+    auto outputs = NN_TRY(toUnsigned(operation.outputs));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
-            .inputs = NN_TRY(toUnsigned(operation.inputs)),
-            .outputs = NN_TRY(toUnsigned(operation.outputs)),
+            .type = type,
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
     };
 }
 
@@ -241,14 +250,19 @@
 }
 
 GeneralResult<Operand> unvalidatedConvert(const aidl_hal::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    auto dimensions = NN_TRY(toUnsigned(operand.dimensions));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
-            .dimensions = NN_TRY(toUnsigned(operand.dimensions)),
+            .type = type,
+            .dimensions = std::move(dimensions),
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
@@ -280,22 +294,31 @@
 }
 
 GeneralResult<Model> unvalidatedConvert(const aidl_hal::Model& model) {
+    auto main = NN_TRY(unvalidatedConvert(model.main));
+    auto referenced = NN_TRY(unvalidatedConvert(model.referenced));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
-            .main = NN_TRY(unvalidatedConvert(model.main)),
-            .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .main = std::move(main),
+            .referenced = std::move(referenced),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
 GeneralResult<Model::Subgraph> unvalidatedConvert(const aidl_hal::Subgraph& subgraph) {
+    auto operands = NN_TRY(unvalidatedConvert(subgraph.operands));
+    auto operations = NN_TRY(unvalidatedConvert(subgraph.operations));
+    auto inputIndexes = NN_TRY(toUnsigned(subgraph.inputIndexes));
+    auto outputIndexes = NN_TRY(toUnsigned(subgraph.outputIndexes));
     return Model::Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
-            .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
-            .inputIndexes = NN_TRY(toUnsigned(subgraph.inputIndexes)),
-            .outputIndexes = NN_TRY(toUnsigned(subgraph.outputIndexes)),
+            .operands = std::move(operands),
+            .operations = std::move(operations),
+            .inputIndexes = std::move(inputIndexes),
+            .outputIndexes = std::move(outputIndexes),
     };
 }
 
@@ -308,9 +331,10 @@
 }
 
 GeneralResult<Extension> unvalidatedConvert(const aidl_hal::Extension& extension) {
+    auto operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes));
     return Extension{
             .name = extension.name,
-            .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes)),
+            .operandTypes = std::move(operandTypes),
     };
 }
 
@@ -326,8 +350,9 @@
 }
 
 GeneralResult<OutputShape> unvalidatedConvert(const aidl_hal::OutputShape& outputShape) {
+    auto dimensions = NN_TRY(toUnsigned(outputShape.dimensions));
     return OutputShape{
-            .dimensions = NN_TRY(toUnsigned(outputShape.dimensions)),
+            .dimensions = std::move(dimensions),
             .isSufficient = outputShape.isSufficient,
     };
 }
@@ -346,8 +371,9 @@
                 return NN_ERROR() << "Memory: size must be <= std::numeric_limits<size_t>::max()";
             }
 
+            auto fd = NN_TRY(dupFd(ashmem.fd.get()));
             auto handle = Memory::Ashmem{
-                    .fd = NN_TRY(dupFd(ashmem.fd.get())),
+                    .fd = std::move(fd),
                     .size = static_cast<size_t>(ashmem.size),
             };
             return std::make_shared<const Memory>(Memory{.handle = std::move(handle)});
@@ -426,7 +452,8 @@
 }
 
 GeneralResult<BufferDesc> unvalidatedConvert(const aidl_hal::BufferDesc& bufferDesc) {
-    return BufferDesc{.dimensions = NN_TRY(toUnsigned(bufferDesc.dimensions))};
+    auto dimensions = NN_TRY(toUnsigned(bufferDesc.dimensions));
+    return BufferDesc{.dimensions = std::move(dimensions)};
 }
 
 GeneralResult<BufferRole> unvalidatedConvert(const aidl_hal::BufferRole& bufferRole) {
@@ -440,20 +467,25 @@
 }
 
 GeneralResult<Request> unvalidatedConvert(const aidl_hal::Request& request) {
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
+    auto pools = NN_TRY(unvalidatedConvert(request.pools));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
-            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
+            .pools = std::move(pools),
     };
 }
 
 GeneralResult<Request::Argument> unvalidatedConvert(const aidl_hal::RequestArgument& argument) {
     const auto lifetime = argument.hasNoValue ? Request::Argument::LifeTime::NO_VALUE
                                               : Request::Argument::LifeTime::POOL;
+    const auto location = NN_TRY(unvalidatedConvert(argument.location));
+    auto dimensions = NN_TRY(toUnsigned(argument.dimensions));
     return Request::Argument{
             .lifetime = lifetime,
-            .location = NN_TRY(unvalidatedConvert(argument.location)),
-            .dimensions = NN_TRY(toUnsigned(argument.dimensions)),
+            .location = location,
+            .dimensions = std::move(dimensions),
     };
 }
 
@@ -720,8 +752,9 @@
 
 nn::GeneralResult<OperandPerformance> unvalidatedConvert(
         const nn::Capabilities::OperandPerformance& operandPerformance) {
-    return OperandPerformance{.type = NN_TRY(unvalidatedConvert(operandPerformance.type)),
-                              .info = NN_TRY(unvalidatedConvert(operandPerformance.info))};
+    const auto type = NN_TRY(unvalidatedConvert(operandPerformance.type));
+    const auto info = NN_TRY(unvalidatedConvert(operandPerformance.info));
+    return OperandPerformance{.type = type, .info = info};
 }
 
 nn::GeneralResult<std::vector<OperandPerformance>> unvalidatedConvert(
@@ -788,7 +821,8 @@
 }
 
 nn::GeneralResult<BufferDesc> unvalidatedConvert(const nn::BufferDesc& bufferDesc) {
-    return BufferDesc{.dimensions = NN_TRY(toSigned(bufferDesc.dimensions))};
+    auto dimensions = NN_TRY(toSigned(bufferDesc.dimensions));
+    return BufferDesc{.dimensions = std::move(dimensions)};
 }
 
 nn::GeneralResult<BufferRole> unvalidatedConvert(const nn::BufferRole& bufferRole) {
@@ -847,7 +881,8 @@
 }
 
 nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape) {
-    return OutputShape{.dimensions = NN_TRY(toSigned(outputShape.dimensions)),
+    auto dimensions = NN_TRY(toSigned(outputShape.dimensions));
+    return OutputShape{.dimensions = std::move(dimensions),
                        .isSufficient = outputShape.isSufficient};
 }
 
@@ -915,14 +950,19 @@
 }
 
 nn::GeneralResult<Operand> unvalidatedConvert(const nn::Operand& operand) {
+    const auto type = NN_TRY(unvalidatedConvert(operand.type));
+    auto dimensions = NN_TRY(toSigned(operand.dimensions));
+    const auto lifetime = NN_TRY(unvalidatedConvert(operand.lifetime));
+    const auto location = NN_TRY(unvalidatedConvert(operand.location));
+    auto extraParams = NN_TRY(unvalidatedConvert(operand.extraParams));
     return Operand{
-            .type = NN_TRY(unvalidatedConvert(operand.type)),
-            .dimensions = NN_TRY(toSigned(operand.dimensions)),
+            .type = type,
+            .dimensions = std::move(dimensions),
             .scale = operand.scale,
             .zeroPoint = operand.zeroPoint,
-            .lifetime = NN_TRY(unvalidatedConvert(operand.lifetime)),
-            .location = NN_TRY(unvalidatedConvert(operand.location)),
-            .extraParams = NN_TRY(unvalidatedConvert(operand.extraParams)),
+            .lifetime = lifetime,
+            .location = location,
+            .extraParams = std::move(extraParams),
     };
 }
 
@@ -934,19 +974,26 @@
 }
 
 nn::GeneralResult<Operation> unvalidatedConvert(const nn::Operation& operation) {
+    const auto type = NN_TRY(unvalidatedConvert(operation.type));
+    auto inputs = NN_TRY(toSigned(operation.inputs));
+    auto outputs = NN_TRY(toSigned(operation.outputs));
     return Operation{
-            .type = NN_TRY(unvalidatedConvert(operation.type)),
-            .inputs = NN_TRY(toSigned(operation.inputs)),
-            .outputs = NN_TRY(toSigned(operation.outputs)),
+            .type = type,
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
     };
 }
 
 nn::GeneralResult<Subgraph> unvalidatedConvert(const nn::Model::Subgraph& subgraph) {
+    auto operands = NN_TRY(unvalidatedConvert(subgraph.operands));
+    auto operations = NN_TRY(unvalidatedConvert(subgraph.operations));
+    auto inputIndexes = NN_TRY(toSigned(subgraph.inputIndexes));
+    auto outputIndexes = NN_TRY(toSigned(subgraph.outputIndexes));
     return Subgraph{
-            .operands = NN_TRY(unvalidatedConvert(subgraph.operands)),
-            .operations = NN_TRY(unvalidatedConvert(subgraph.operations)),
-            .inputIndexes = NN_TRY(toSigned(subgraph.inputIndexes)),
-            .outputIndexes = NN_TRY(toSigned(subgraph.outputIndexes)),
+            .operands = std::move(operands),
+            .operations = std::move(operations),
+            .inputIndexes = std::move(inputIndexes),
+            .outputIndexes = std::move(outputIndexes),
     };
 }
 
@@ -969,13 +1016,18 @@
                << "Model cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
+    auto main = NN_TRY(unvalidatedConvert(model.main));
+    auto referenced = NN_TRY(unvalidatedConvert(model.referenced));
+    auto operandValues = NN_TRY(unvalidatedConvert(model.operandValues));
+    auto pools = NN_TRY(unvalidatedConvert(model.pools));
+    auto extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix));
     return Model{
-            .main = NN_TRY(unvalidatedConvert(model.main)),
-            .referenced = NN_TRY(unvalidatedConvert(model.referenced)),
-            .operandValues = NN_TRY(unvalidatedConvert(model.operandValues)),
-            .pools = NN_TRY(unvalidatedConvert(model.pools)),
+            .main = std::move(main),
+            .referenced = std::move(referenced),
+            .operandValues = std::move(operandValues),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
-            .extensionNameToPrefix = NN_TRY(unvalidatedConvert(model.extensionNameToPrefix)),
+            .extensionNameToPrefix = std::move(extensionNameToPrefix),
     };
 }
 
@@ -989,10 +1041,13 @@
                << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
 
+    auto inputs = NN_TRY(unvalidatedConvert(request.inputs));
+    auto outputs = NN_TRY(unvalidatedConvert(request.outputs));
+    auto pools = NN_TRY(unvalidatedConvert(request.pools));
     return Request{
-            .inputs = NN_TRY(unvalidatedConvert(request.inputs)),
-            .outputs = NN_TRY(unvalidatedConvert(request.outputs)),
-            .pools = NN_TRY(unvalidatedConvert(request.pools)),
+            .inputs = std::move(inputs),
+            .outputs = std::move(outputs),
+            .pools = std::move(pools),
     };
 }
 
@@ -1003,10 +1058,12 @@
                << "Request cannot be unvalidatedConverted because it contains pointer-based memory";
     }
     const bool hasNoValue = requestArgument.lifetime == nn::Request::Argument::LifeTime::NO_VALUE;
+    const auto location = NN_TRY(unvalidatedConvert(requestArgument.location));
+    auto dimensions = NN_TRY(toSigned(requestArgument.dimensions));
     return RequestArgument{
             .hasNoValue = hasNoValue,
-            .location = NN_TRY(unvalidatedConvert(requestArgument.location)),
-            .dimensions = NN_TRY(toSigned(requestArgument.dimensions)),
+            .location = location,
+            .dimensions = std::move(dimensions),
     };
 }
 
@@ -1033,9 +1090,11 @@
 }
 
 nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing) {
+    const auto timeOnDeviceNs = NN_TRY(unvalidatedConvert(timing.timeOnDevice));
+    const auto timeInDriverNs = NN_TRY(unvalidatedConvert(timing.timeInDriver));
     return Timing{
-            .timeOnDeviceNs = NN_TRY(unvalidatedConvert(timing.timeOnDevice)),
-            .timeInDriverNs = NN_TRY(unvalidatedConvert(timing.timeInDriver)),
+            .timeOnDeviceNs = timeOnDeviceNs,
+            .timeInDriverNs = timeInDriverNs,
     };
 }
 
@@ -1064,20 +1123,25 @@
 }
 
 nn::GeneralResult<Capabilities> unvalidatedConvert(const nn::Capabilities& capabilities) {
+    const auto relaxedFloat32toFloat16PerformanceTensor =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor));
+    const auto relaxedFloat32toFloat16PerformanceScalar =
+            NN_TRY(unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar));
+    auto operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance));
+    const auto ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance));
+    const auto whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance));
     return Capabilities{
-            .relaxedFloat32toFloat16PerformanceTensor = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceTensor)),
-            .relaxedFloat32toFloat16PerformanceScalar = NN_TRY(
-                    unvalidatedConvert(capabilities.relaxedFloat32toFloat16PerformanceScalar)),
-            .operandPerformance = NN_TRY(unvalidatedConvert(capabilities.operandPerformance)),
-            .ifPerformance = NN_TRY(unvalidatedConvert(capabilities.ifPerformance)),
-            .whilePerformance = NN_TRY(unvalidatedConvert(capabilities.whilePerformance)),
+            .relaxedFloat32toFloat16PerformanceTensor = relaxedFloat32toFloat16PerformanceTensor,
+            .relaxedFloat32toFloat16PerformanceScalar = relaxedFloat32toFloat16PerformanceScalar,
+            .operandPerformance = std::move(operandPerformance),
+            .ifPerformance = ifPerformance,
+            .whilePerformance = whilePerformance,
     };
 }
 
 nn::GeneralResult<Extension> unvalidatedConvert(const nn::Extension& extension) {
-    return Extension{.name = extension.name,
-                     .operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes))};
+    auto operandTypes = NN_TRY(unvalidatedConvert(extension.operandTypes));
+    return Extension{.name = extension.name, .operandTypes = std::move(operandTypes)};
 }
 #ifdef NN_AIDL_V4_OR_ABOVE
 nn::GeneralResult<TokenValuePair> unvalidatedConvert(const nn::TokenValuePair& tokenValuePair) {
diff --git a/neuralnetworks/aidl/utils/src/Utils.cpp b/neuralnetworks/aidl/utils/src/Utils.cpp
index 76a0b07..f9b4f6e 100644
--- a/neuralnetworks/aidl/utils/src/Utils.cpp
+++ b/neuralnetworks/aidl/utils/src/Utils.cpp
@@ -51,8 +51,9 @@
 }
 
 nn::GeneralResult<common::NativeHandle> clone(const common::NativeHandle& handle) {
+    auto fds = NN_TRY(cloneVec(handle.fds));
     return common::NativeHandle{
-            .fds = NN_TRY(cloneVec(handle.fds)),
+            .fds = std::move(fds),
             .ints = handle.ints,
     };
 }
@@ -63,29 +64,32 @@
     switch (memory.getTag()) {
         case Memory::Tag::ashmem: {
             const auto& ashmem = memory.get<Memory::Tag::ashmem>();
+            auto fd = NN_TRY(clone(ashmem.fd));
             auto handle = common::Ashmem{
-                    .fd = NN_TRY(clone(ashmem.fd)),
+                    .fd = std::move(fd),
                     .size = ashmem.size,
             };
             return Memory::make<Memory::Tag::ashmem>(std::move(handle));
         }
         case Memory::Tag::mappableFile: {
             const auto& memFd = memory.get<Memory::Tag::mappableFile>();
+            auto fd = NN_TRY(clone(memFd.fd));
             auto handle = common::MappableFile{
                     .length = memFd.length,
                     .prot = memFd.prot,
-                    .fd = NN_TRY(clone(memFd.fd)),
+                    .fd = std::move(fd),
                     .offset = memFd.offset,
             };
             return Memory::make<Memory::Tag::mappableFile>(std::move(handle));
         }
         case Memory::Tag::hardwareBuffer: {
             const auto& hardwareBuffer = memory.get<Memory::Tag::hardwareBuffer>();
-            auto handle = graphics::common::HardwareBuffer{
+            auto handle = NN_TRY(clone(hardwareBuffer.handle));
+            auto ahwbHandle = graphics::common::HardwareBuffer{
                     .description = hardwareBuffer.description,
-                    .handle = NN_TRY(clone(hardwareBuffer.handle)),
+                    .handle = std::move(handle),
             };
-            return Memory::make<Memory::Tag::hardwareBuffer>(std::move(handle));
+            return Memory::make<Memory::Tag::hardwareBuffer>(std::move(ahwbHandle));
         }
     }
     return (NN_ERROR() << "Unrecognized Memory::Tag: " << underlyingType(memory.getTag()))
@@ -109,19 +113,21 @@
 }
 
 nn::GeneralResult<Request> clone(const Request& request) {
+    auto pools = NN_TRY(clone(request.pools));
     return Request{
             .inputs = request.inputs,
             .outputs = request.outputs,
-            .pools = NN_TRY(clone(request.pools)),
+            .pools = std::move(pools),
     };
 }
 
 nn::GeneralResult<Model> clone(const Model& model) {
+    auto pools = NN_TRY(clone(model.pools));
     return Model{
             .main = model.main,
             .referenced = model.referenced,
             .operandValues = model.operandValues,
-            .pools = NN_TRY(clone(model.pools)),
+            .pools = std::move(pools),
             .relaxComputationFloat32toFloat16 = model.relaxComputationFloat32toFloat16,
             .extensionNameToPrefix = model.extensionNameToPrefix,
     };