Modify 1.1 VTS tests to consume test struct directly.
This CL is very similar to the 1.0 VTS CL. The only difference is that
1.1 Models have an additional field for relaxed model computation.
Bug: 123092187
Bug: 138718240
Test: All VTS
Change-Id: I9264e5b2468b9c6db47d86683d24f8c2c5ec46aa
Merged-In: I9264e5b2468b9c6db47d86683d24f8c2c5ec46aa
(cherry picked from commit 6aad0402780ba007ca027bf40707c0dc14c5f5fc)
diff --git a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
index c549728..757bee9 100644
--- a/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.1/vts/functional/ValidateRequest.cpp
@@ -16,14 +16,8 @@
#define LOG_TAG "neuralnetworks_hidl_hal_test"
-#include <android-base/logging.h>
-#include <android/hidl/memory/1.0/IMemory.h>
-#include <hidlmemory/mapping.h>
-
#include "1.0/Callbacks.h"
#include "1.0/Utils.h"
-#include "MemoryUtils.h"
-#include "TestHarness.h"
#include "VtsHalNeuralnetworks.h"
namespace android {
@@ -35,13 +29,8 @@
using ::android::hardware::neuralnetworks::V1_0::ErrorStatus;
using ::android::hardware::neuralnetworks::V1_0::Request;
-using ::android::hardware::neuralnetworks::V1_0::RequestArgument;
using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
using ::android::hardware::neuralnetworks::V1_1::IPreparedModel;
-using ::android::hidl::memory::V1_0::IMemory;
-using ::test_helper::for_all;
-using ::test_helper::MixedTyped;
-using ::test_helper::MixedTypedExample;
///////////////////////// UTILITY FUNCTIONS /////////////////////////
@@ -87,103 +76,10 @@
///////////////////////////// ENTRY POINT //////////////////////////////////
-std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples) {
- const uint32_t INPUT = 0;
- const uint32_t OUTPUT = 1;
-
- std::vector<Request> requests;
-
- for (auto& example : examples) {
- const MixedTyped& inputs = example.operands.first;
- const MixedTyped& outputs = example.operands.second;
-
- std::vector<RequestArgument> inputs_info, outputs_info;
- uint32_t inputSize = 0, outputSize = 0;
-
- // This function only partially specifies the metadata (vector of RequestArguments).
- // The contents are copied over below.
- for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) {
- if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1);
- RequestArgument arg = {
- .location = {.poolIndex = INPUT,
- .offset = 0,
- .length = static_cast<uint32_t>(s)},
- .dimensions = {},
- };
- RequestArgument arg_empty = {
- .hasNoValue = true,
- };
- inputs_info[index] = s ? arg : arg_empty;
- inputSize += s;
- });
- // Compute offset for inputs 1 and so on
- {
- size_t offset = 0;
- for (auto& i : inputs_info) {
- if (!i.hasNoValue) i.location.offset = offset;
- offset += i.location.length;
- }
- }
-
- // Go through all outputs, initialize RequestArgument descriptors
- for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) {
- if (outputs_info.size() <= static_cast<size_t>(index)) outputs_info.resize(index + 1);
- RequestArgument arg = {
- .location = {.poolIndex = OUTPUT,
- .offset = 0,
- .length = static_cast<uint32_t>(s)},
- .dimensions = {},
- };
- outputs_info[index] = arg;
- outputSize += s;
- });
- // Compute offset for outputs 1 and so on
- {
- size_t offset = 0;
- for (auto& i : outputs_info) {
- i.location.offset = offset;
- offset += i.location.length;
- }
- }
- std::vector<hidl_memory> pools = {nn::allocateSharedMemory(inputSize),
- nn::allocateSharedMemory(outputSize)};
- if (pools[INPUT].size() == 0 || pools[OUTPUT].size() == 0) {
- return {};
- }
-
- // map pool
- sp<IMemory> inputMemory = mapMemory(pools[INPUT]);
- if (inputMemory == nullptr) {
- return {};
- }
- char* inputPtr = reinterpret_cast<char*>(static_cast<void*>(inputMemory->getPointer()));
- if (inputPtr == nullptr) {
- return {};
- }
-
- // initialize pool
- inputMemory->update();
- for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) {
- char* begin = (char*)p;
- char* end = begin + s;
- // TODO: handle more than one input
- std::copy(begin, end, inputPtr + inputs_info[index].location.offset);
- });
- inputMemory->commit();
-
- requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools});
- }
-
- return requests;
-}
-
-void ValidationTest::validateRequests(const sp<IPreparedModel>& preparedModel,
- const std::vector<Request>& requests) {
- // validate each request
- for (const Request& request : requests) {
- removeInputTest(preparedModel, request);
- removeOutputTest(preparedModel, request);
- }
+void ValidationTest::validateRequest(const sp<IPreparedModel>& preparedModel,
+ const Request& request) {
+ removeInputTest(preparedModel, request);
+ removeOutputTest(preparedModel, request);
}
} // namespace functional