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/*
* Copyright (C) 2018 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#define LOG_TAG "neuralnetworks_hidl_hal_test"
#include <android/hardware/neuralnetworks/1.3/IFencedExecutionCallback.h>
#include <chrono>
#include "1.0/Utils.h"
#include "1.3/Callbacks.h"
#include "ExecutionBurstController.h"
#include "GeneratedTestHarness.h"
#include "TestHarness.h"
#include "Utils.h"
#include "VtsHalNeuralnetworks.h"
namespace android::hardware::neuralnetworks::V1_3::vts::functional {
using implementation::ExecutionCallback;
using V1_2::MeasureTiming;
using V1_2::OutputShape;
using V1_2::Timing;
using ExecutionMutation = std::function<void(Request*)>;
///////////////////////// UTILITY FUNCTIONS /////////////////////////
static bool badTiming(Timing timing) {
return timing.timeOnDevice == UINT64_MAX && timing.timeInDriver == UINT64_MAX;
}
// Primary validation function. This function will take a valid request, apply a
// mutation to it to invalidate the request, then pass it to interface calls
// that use the request.
static void validate(const sp<IPreparedModel>& preparedModel, const std::string& message,
const Request& originalRequest, const ExecutionMutation& mutate) {
Request request = originalRequest;
mutate(&request);
// We'd like to test both with timing requested and without timing
// requested. Rather than running each test both ways, we'll decide whether
// to request timing by hashing the message. We do not use std::hash because
// it is not guaranteed stable across executions.
char hash = 0;
for (auto c : message) {
hash ^= c;
};
MeasureTiming measure = (hash & 1) ? MeasureTiming::YES : MeasureTiming::NO;
// asynchronous
{
SCOPED_TRACE(message + " [execute_1_3]");
sp<ExecutionCallback> executionCallback = new ExecutionCallback();
Return<ErrorStatus> executeLaunchStatus =
preparedModel->execute_1_3(request, measure, {}, {}, executionCallback);
ASSERT_TRUE(executeLaunchStatus.isOk());
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
executionCallback->wait();
ErrorStatus executionReturnStatus = executionCallback->getStatus();
const auto& outputShapes = executionCallback->getOutputShapes();
Timing timing = executionCallback->getTiming();
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, executionReturnStatus);
ASSERT_EQ(outputShapes.size(), 0);
ASSERT_TRUE(badTiming(timing));
}
// synchronous
{
SCOPED_TRACE(message + " [executeSynchronously_1_3]");
Return<void> executeStatus = preparedModel->executeSynchronously_1_3(
request, measure, {}, {},
[](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) {
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
EXPECT_EQ(outputShapes.size(), 0);
EXPECT_TRUE(badTiming(timing));
});
ASSERT_TRUE(executeStatus.isOk());
}
// burst
// TODO(butlermichael): Check if we need to test burst in V1_3 if the interface remains V1_2.
{
SCOPED_TRACE(message + " [burst]");
ASSERT_TRUE(nn::compliantWithV1_0(request));
V1_0::Request request10 = nn::convertToV1_0(request);
// create burst
std::shared_ptr<::android::nn::ExecutionBurstController> burst =
android::nn::ExecutionBurstController::create(preparedModel,
std::chrono::microseconds{0});
ASSERT_NE(nullptr, burst.get());
// create memory keys
std::vector<intptr_t> keys(request10.pools.size());
for (size_t i = 0; i < keys.size(); ++i) {
keys[i] = reinterpret_cast<intptr_t>(&request10.pools[i]);
}
// execute and verify
const auto [n, outputShapes, timing, fallback] = burst->compute(request10, measure, keys);
const ErrorStatus status = nn::convertToV1_3(nn::convertResultCodeToErrorStatus(n));
EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
EXPECT_EQ(outputShapes.size(), 0);
EXPECT_TRUE(badTiming(timing));
EXPECT_FALSE(fallback);
// additional burst testing
if (request10.pools.size() > 0) {
// valid free
burst->freeMemory(keys.front());
// negative test: invalid free of unknown (blank) memory
burst->freeMemory(intptr_t{});
// negative test: double free of memory
burst->freeMemory(keys.front());
}
}
// dispatch
{
SCOPED_TRACE(message + " [executeFenced]");
Return<void> ret =
preparedModel->executeFenced(request, {}, MeasureTiming::NO, {}, {}, {},
[](ErrorStatus error, const hidl_handle& handle,
const sp<IFencedExecutionCallback>& callback) {
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
ASSERT_EQ(handle.getNativeHandle(), nullptr);
ASSERT_EQ(callback, nullptr);
});
ASSERT_TRUE(ret.isOk());
}
}
///////////////////////// REMOVE INPUT ////////////////////////////////////
static void removeInputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
for (size_t input = 0; input < request.inputs.size(); ++input) {
const std::string message = "removeInput: removed input " + std::to_string(input);
validate(preparedModel, message, request,
[input](Request* request) { hidl_vec_removeAt(&request->inputs, input); });
}
}
///////////////////////// REMOVE OUTPUT ////////////////////////////////////
static void removeOutputTest(const sp<IPreparedModel>& preparedModel, const Request& request) {
for (size_t output = 0; output < request.outputs.size(); ++output) {
const std::string message = "removeOutput: removed Output " + std::to_string(output);
validate(preparedModel, message, request,
[output](Request* request) { hidl_vec_removeAt(&request->outputs, output); });
}
}
///////////////////////////// ENTRY POINT //////////////////////////////////
void validateRequest(const sp<IPreparedModel>& preparedModel, const Request& request) {
removeInputTest(preparedModel, request);
removeOutputTest(preparedModel, request);
}
void validateRequestFailure(const sp<IPreparedModel>& preparedModel, const Request& request) {
SCOPED_TRACE("Expecting request to fail [executeSynchronously_1_3]");
Return<void> executeStatus = preparedModel->executeSynchronously_1_3(
request, MeasureTiming::NO, {}, {},
[](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) {
ASSERT_NE(ErrorStatus::NONE, error);
EXPECT_EQ(outputShapes.size(), 0);
EXPECT_TRUE(badTiming(timing));
});
ASSERT_TRUE(executeStatus.isOk());
}
} // namespace android::hardware::neuralnetworks::V1_3::vts::functional
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