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authorMichael Butler <butlermichael@google.com>2019-10-28 21:53:52 +0000
committerGerrit Code Review <noreply-gerritcodereview@google.com>2019-10-28 21:53:52 +0000
commit7261ba7d1047efb8c8eb43b8ea296d03a814d6c9 (patch)
tree1672148b21e2a41a17f18273a142d1d2b7b9d43b
parent03d6f2fe8c67473eb2b86dbdb894335aebd60e56 (diff)
parent648ada5fcfa53055fc2f6e2d7c1de97358ca48b8 (diff)
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Merge "NNAPI VTS update in response to utility function change"
-rw-r--r--neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp8
-rw-r--r--neuralnetworks/1.2/vts/functional/ValidateBurst.cpp13
-rw-r--r--neuralnetworks/1.2/vts/functional/ValidateRequest.cpp13
-rw-r--r--neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp8
-rw-r--r--neuralnetworks/1.3/vts/functional/ValidateBurst.cpp13
-rw-r--r--neuralnetworks/1.3/vts/functional/ValidateRequest.cpp13
6 files changed, 44 insertions, 24 deletions
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
index 2beec983e0..aacb38500b 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestHarness.cpp
@@ -33,6 +33,7 @@
#include <gtest/gtest.h>
#include <algorithm>
+#include <chrono>
#include <iostream>
#include <numeric>
@@ -190,7 +191,8 @@ static Return<ErrorStatus> ExecutePreparedModel(const sp<IPreparedModel>& prepar
}
static std::shared_ptr<::android::nn::ExecutionBurstController> CreateBurst(
const sp<IPreparedModel>& preparedModel) {
- return android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+ return android::nn::ExecutionBurstController::create(preparedModel,
+ std::chrono::microseconds{0});
}
enum class Executor { ASYNC, SYNC, BURST };
@@ -254,8 +256,10 @@ void EvaluatePreparedModel(const sp<IPreparedModel>& preparedModel, const TestMo
}
// execute burst
- std::tie(executionStatus, outputShapes, timing) =
+ int n;
+ std::tie(n, outputShapes, timing, std::ignore) =
controller->compute(request, measure, keys);
+ executionStatus = nn::convertResultCodeToErrorStatus(n);
break;
}
diff --git a/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
index 1d4493d208..416744f902 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
@@ -26,6 +26,7 @@
#include "Utils.h"
#include <android-base/logging.h>
+#include <chrono>
#include <cstring>
namespace android::hardware::neuralnetworks::V1_2::vts::functional {
@@ -64,9 +65,9 @@ static void createBurst(const sp<IPreparedModel>& preparedModel, const sp<IBurst
// create FMQ objects
auto [fmqRequestChannel, fmqRequestDescriptor] =
- RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+ RequestChannelSender::create(kExecutionBurstChannelLength);
auto [fmqResultChannel, fmqResultDescriptor] =
- ResultChannelReceiver::create(resultChannelLength, /*blocking=*/true);
+ ResultChannelReceiver::create(resultChannelLength, std::chrono::microseconds{0});
ASSERT_NE(nullptr, fmqRequestChannel.get());
ASSERT_NE(nullptr, fmqResultChannel.get());
ASSERT_NE(nullptr, fmqRequestDescriptor);
@@ -293,8 +294,10 @@ static void validateBurstFmqLength(const sp<IPreparedModel>& preparedModel,
}
// collect serialized result by running regular burst
- const auto [statusRegular, outputShapesRegular, timingRegular] =
+ const auto [nRegular, outputShapesRegular, timingRegular, fallbackRegular] =
controllerRegular->compute(request, MeasureTiming::NO, keys);
+ const ErrorStatus statusRegular = nn::convertResultCodeToErrorStatus(nRegular);
+ EXPECT_FALSE(fallbackRegular);
// skip test if regular burst output isn't useful for testing a failure
// caused by having too small of a length for the result FMQ
@@ -307,11 +310,13 @@ static void validateBurstFmqLength(const sp<IPreparedModel>& preparedModel,
// by this point, execution should fail because the result channel isn't
// large enough to return the serialized result
- const auto [statusSmall, outputShapesSmall, timingSmall] =
+ const auto [nSmall, outputShapesSmall, timingSmall, fallbackSmall] =
controllerSmall->compute(request, MeasureTiming::NO, keys);
+ const ErrorStatus statusSmall = nn::convertResultCodeToErrorStatus(nSmall);
EXPECT_NE(ErrorStatus::NONE, statusSmall);
EXPECT_EQ(0u, outputShapesSmall.size());
EXPECT_TRUE(badTiming(timingSmall));
+ EXPECT_FALSE(fallbackSmall);
}
static bool isSanitized(const FmqResultDatum& datum) {
diff --git a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
index f25ee62617..2d83b8186c 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
@@ -16,6 +16,7 @@
#define LOG_TAG "neuralnetworks_hidl_hal_test"
+#include <chrono>
#include "1.0/Utils.h"
#include "1.2/Callbacks.h"
#include "ExecutionBurstController.h"
@@ -94,7 +95,8 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
// create burst
std::shared_ptr<::android::nn::ExecutionBurstController> burst =
- android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+ android::nn::ExecutionBurstController::create(preparedModel,
+ std::chrono::microseconds{0});
ASSERT_NE(nullptr, burst.get());
// create memory keys
@@ -104,13 +106,12 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
}
// execute and verify
- ErrorStatus error;
- std::vector<OutputShape> outputShapes;
- Timing timing;
- std::tie(error, outputShapes, timing) = burst->compute(request, measure, keys);
- EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
+ const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys);
+ const ErrorStatus status = 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 (request.pools.size() > 0) {
diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
index 16a7d70fb5..8a7ed24c9d 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
@@ -36,6 +36,7 @@
#include <gtest/gtest.h>
#include <algorithm>
+#include <chrono>
#include <iostream>
#include <numeric>
@@ -200,7 +201,8 @@ static Return<ErrorStatus> ExecutePreparedModel(const sp<IPreparedModel>& prepar
}
static std::shared_ptr<::android::nn::ExecutionBurstController> CreateBurst(
const sp<IPreparedModel>& preparedModel) {
- return android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+ return android::nn::ExecutionBurstController::create(preparedModel,
+ std::chrono::microseconds{0});
}
enum class Executor { ASYNC, SYNC, BURST };
@@ -264,8 +266,10 @@ void EvaluatePreparedModel(const sp<IPreparedModel>& preparedModel, const TestMo
}
// execute burst
- std::tie(executionStatus, outputShapes, timing) =
+ int n;
+ std::tie(n, outputShapes, timing, std::ignore) =
controller->compute(request, measure, keys);
+ executionStatus = nn::convertResultCodeToErrorStatus(n);
break;
}
diff --git a/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp b/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
index 95f9f427b2..2c97294fad 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateBurst.cpp
@@ -26,6 +26,7 @@
#include "Utils.h"
#include <android-base/logging.h>
+#include <chrono>
#include <cstring>
namespace android::hardware::neuralnetworks::V1_3::vts::functional {
@@ -71,9 +72,9 @@ static void createBurst(const sp<IPreparedModel>& preparedModel, const sp<IBurst
// create FMQ objects
auto [fmqRequestChannel, fmqRequestDescriptor] =
- RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+ RequestChannelSender::create(kExecutionBurstChannelLength);
auto [fmqResultChannel, fmqResultDescriptor] =
- ResultChannelReceiver::create(resultChannelLength, /*blocking=*/true);
+ ResultChannelReceiver::create(resultChannelLength, std::chrono::microseconds{0});
ASSERT_NE(nullptr, fmqRequestChannel.get());
ASSERT_NE(nullptr, fmqResultChannel.get());
ASSERT_NE(nullptr, fmqRequestDescriptor);
@@ -300,8 +301,10 @@ static void validateBurstFmqLength(const sp<IPreparedModel>& preparedModel,
}
// collect serialized result by running regular burst
- const auto [statusRegular, outputShapesRegular, timingRegular] =
+ const auto [nRegular, outputShapesRegular, timingRegular, fallbackRegular] =
controllerRegular->compute(request, MeasureTiming::NO, keys);
+ const ErrorStatus statusRegular = nn::convertResultCodeToErrorStatus(nRegular);
+ EXPECT_FALSE(fallbackRegular);
// skip test if regular burst output isn't useful for testing a failure
// caused by having too small of a length for the result FMQ
@@ -314,11 +317,13 @@ static void validateBurstFmqLength(const sp<IPreparedModel>& preparedModel,
// by this point, execution should fail because the result channel isn't
// large enough to return the serialized result
- const auto [statusSmall, outputShapesSmall, timingSmall] =
+ const auto [nSmall, outputShapesSmall, timingSmall, fallbackSmall] =
controllerSmall->compute(request, MeasureTiming::NO, keys);
+ const ErrorStatus statusSmall = nn::convertResultCodeToErrorStatus(nSmall);
EXPECT_NE(ErrorStatus::NONE, statusSmall);
EXPECT_EQ(0u, outputShapesSmall.size());
EXPECT_TRUE(badTiming(timingSmall));
+ EXPECT_FALSE(fallbackSmall);
}
static bool isSanitized(const FmqResultDatum& datum) {
diff --git a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
index 612212382c..c00512c4d3 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
@@ -16,6 +16,7 @@
#define LOG_TAG "neuralnetworks_hidl_hal_test"
+#include <chrono>
#include "1.0/Utils.h"
#include "1.2/Callbacks.h"
#include "ExecutionBurstController.h"
@@ -98,7 +99,8 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
// create burst
std::shared_ptr<::android::nn::ExecutionBurstController> burst =
- android::nn::ExecutionBurstController::create(preparedModel, /*blocking=*/true);
+ android::nn::ExecutionBurstController::create(preparedModel,
+ std::chrono::microseconds{0});
ASSERT_NE(nullptr, burst.get());
// create memory keys
@@ -108,13 +110,12 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
}
// execute and verify
- ErrorStatus error;
- std::vector<OutputShape> outputShapes;
- Timing timing;
- std::tie(error, outputShapes, timing) = burst->compute(request, measure, keys);
- EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
+ const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys);
+ const ErrorStatus status = 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 (request.pools.size() > 0) {