Test dynamic output shape in GeneratedTests.
Enable VTS unit test for dynamic output shape deduction.
Only test dynamic output shape for V1_2::IDevice with V1_2::Model.
Bug: 73506513
Test: VtsHalNeuralnetworksV1_xTargetTest with 1.2 sample driver
Change-Id: I4134e1ec54a15554eb8533134897279651b57da3
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index b5a8607..de0e494 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -51,14 +51,13 @@
using ::test_helper::Int32Operands;
using ::test_helper::MixedTyped;
using ::test_helper::MixedTypedExample;
-using ::test_helper::MixedTypedIndex;
using ::test_helper::Quant8Operands;
using ::test_helper::resize_accordingly;
template <typename T>
-void copy_back_(MixedTyped* dst, const std::vector<RequestArgument>& ra, char* src) {
- MixedTyped& test = *dst;
- for_each<T>(test, [&ra, src](int index, std::vector<T>& m) {
+void copy_back_(std::map<int, std::vector<T>>* dst, const std::vector<RequestArgument>& ra,
+ char* src) {
+ for_each<T>(*dst, [&ra, src](int index, std::vector<T>& m) {
ASSERT_EQ(m.size(), ra[index].location.length / sizeof(T));
char* begin = src + ra[index].location.offset;
memcpy(m.data(), begin, ra[index].location.length);
@@ -66,14 +65,14 @@
}
void copy_back(MixedTyped* dst, const std::vector<RequestArgument>& ra, char* src) {
- copy_back_<float>(dst, ra, src);
- copy_back_<int32_t>(dst, ra, src);
- copy_back_<uint8_t>(dst, ra, src);
- copy_back_<int16_t>(dst, ra, src);
- copy_back_<_Float16>(dst, ra, src);
- copy_back_<bool8>(dst, ra, src);
- copy_back_<int8_t>(dst, ra, src);
- static_assert(7 == std::tuple_size<MixedTyped>::value,
+ copy_back_(&dst->float32Operands, ra, src);
+ copy_back_(&dst->int32Operands, ra, src);
+ copy_back_(&dst->quant8Operands, ra, src);
+ copy_back_(&dst->quant16Operands, ra, src);
+ copy_back_(&dst->float16Operands, ra, src);
+ copy_back_(&dst->bool8Operands, ra, src);
+ copy_back_(&dst->quant8ChannelOperands, ra, src);
+ static_assert(7 == MixedTyped::kNumTypes,
"Number of types in MixedTyped changed, but copy_back function wasn't updated");
}
@@ -115,7 +114,8 @@
void EvaluatePreparedModel(sp<T_IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
const std::vector<MixedTypedExample>& examples,
bool hasRelaxedFloat32Model = false, float fpAtol = kDefaultAtol,
- float fpRtol = kDefaultRtol, Synchronously sync = Synchronously::NO) {
+ float fpRtol = kDefaultRtol, Synchronously sync = Synchronously::NO,
+ bool testDynamicOutputShape = false) {
const uint32_t INPUT = 0;
const uint32_t OUTPUT = 1;
@@ -125,7 +125,7 @@
const MixedTyped& inputs = example.operands.first;
const MixedTyped& golden = example.operands.second;
- const bool hasFloat16Inputs = !std::get<MixedTypedIndex<_Float16>::index>(inputs).empty();
+ const bool hasFloat16Inputs = !inputs.float16Operands.empty();
if (hasRelaxedFloat32Model || hasFloat16Inputs) {
// TODO: Adjust the error limit based on testing.
// If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
@@ -237,10 +237,24 @@
executionStatus = static_cast<ErrorStatus>(executionReturnStatus);
}
+ if (testDynamicOutputShape && executionStatus != ErrorStatus::NONE) {
+ LOG(INFO) << "NN VTS: Early termination of test because vendor service cannot "
+ "execute model that it does not support.";
+ std::cout << "[ ] Early termination of test because vendor service cannot "
+ "execute model that it does not support."
+ << std::endl;
+ return;
+ }
ASSERT_EQ(ErrorStatus::NONE, executionStatus);
- // TODO(xusongw): Check if the returned output shapes match with expectation once the
- // sample driver implementation of dynamic output shape is finished.
- ASSERT_EQ(outputShapes.size(), 0);
+
+ // Go through all outputs, overwrite output dimensions with returned output shapes
+ if (testDynamicOutputShape) {
+ ASSERT_NE(outputShapes.size(), 0);
+ for_each<uint32_t>(test.operandDimensions,
+ [&outputShapes](int idx, std::vector<uint32_t>& dim) {
+ dim = outputShapes[idx].dimensions;
+ });
+ }
// validate results
outputMemory->read();
@@ -261,9 +275,10 @@
template <typename T_IPreparedModel>
void EvaluatePreparedModel(sp<T_IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
const std::vector<MixedTypedExample>& examples,
- bool hasRelaxedFloat32Model, Synchronously sync) {
+ bool hasRelaxedFloat32Model, Synchronously sync,
+ bool testDynamicOutputShape) {
EvaluatePreparedModel(preparedModel, is_ignored, examples, hasRelaxedFloat32Model, kDefaultAtol,
- kDefaultRtol, sync);
+ kDefaultRtol, sync, testDynamicOutputShape);
}
static void getPreparedModel(sp<PreparedModelCallback> callback,
@@ -319,7 +334,8 @@
float fpAtol = 1e-5f, fpRtol = 5.0f * 1.1920928955078125e-7f;
EvaluatePreparedModel(preparedModel, is_ignored, examples,
- /*hasRelaxedFloat32Model=*/false, fpAtol, fpRtol);
+ /*hasRelaxedFloat32Model=*/false, fpAtol, fpRtol, Synchronously::NO,
+ /*testDynamicOutputShape=*/false);
}
void Execute(const sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_model,
@@ -365,12 +381,14 @@
ASSERT_NE(nullptr, preparedModel.get());
EvaluatePreparedModel(preparedModel, is_ignored, examples,
- model.relaxComputationFloat32toFloat16);
+ model.relaxComputationFloat32toFloat16, 1e-5f, 1e-5f, Synchronously::NO,
+ /*testDynamicOutputShape=*/false);
}
// TODO: Reduce code duplication.
void Execute(const sp<V1_2::IDevice>& device, std::function<V1_2::Model(void)> create_model,
- std::function<bool(int)> is_ignored, const std::vector<MixedTypedExample>& examples) {
+ std::function<bool(int)> is_ignored, const std::vector<MixedTypedExample>& examples,
+ bool testDynamicOutputShape) {
V1_2::Model model = create_model();
// see if service can handle model
@@ -412,9 +430,11 @@
ASSERT_NE(nullptr, preparedModel.get());
EvaluatePreparedModel(preparedModel, is_ignored, examples,
- model.relaxComputationFloat32toFloat16, Synchronously::NO);
+ model.relaxComputationFloat32toFloat16, Synchronously::NO,
+ testDynamicOutputShape);
EvaluatePreparedModel(preparedModel, is_ignored, examples,
- model.relaxComputationFloat32toFloat16, Synchronously::YES);
+ model.relaxComputationFloat32toFloat16, Synchronously::YES,
+ testDynamicOutputShape);
}
} // namespace generated_tests