Merge "Change default IFingerprint HAL back to STRONG" into sc-dev
diff --git a/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp b/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
index 657b42d..0b3098b 100644
--- a/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
+++ b/audio/core/all-versions/vts/functional/7.0/AudioPrimaryHidlHalTest.cpp
@@ -580,12 +580,19 @@
// Starting / resuming of streams is asynchronous at HAL level.
// Sometimes HAL doesn't have enough information until the audio data actually gets
// consumed by the hardware.
- do {
+ bool timedOut = false;
+ res = Result::INVALID_STATE;
+ for (android::base::Timer elapsed;
+ res != Result::OK && !writer.hasError() &&
+ !(timedOut = (elapsed.duration() >= kPositionChangeTimeout));) {
+ usleep(kWriteDurationUs);
ASSERT_OK(stream->getPresentationPosition(returnIn(res, framesInitial, ts)));
ASSERT_RESULT(okOrInvalidState, res);
- } while (res != Result::OK);
+ }
+ ASSERT_FALSE(writer.hasError());
+ ASSERT_FALSE(timedOut);
+
uint64_t frames = framesInitial;
- bool timedOut = false;
for (android::base::Timer elapsed;
frames <= framesInitial && !writer.hasError() &&
!(timedOut = (elapsed.duration() >= kPositionChangeTimeout));) {
@@ -666,11 +673,18 @@
allParams.begin(), allParams.end(), std::back_inserter(pcmParams), [](auto cfg) {
const auto& flags = std::get<PARAM_FLAGS>(cfg);
return xsd::isLinearPcm(std::get<PARAM_CONFIG>(cfg).base.format)
- // MMAP NOIRQ profiles use different reading protocol.
+ // MMAP NOIRQ profiles use different reading protocol,
+ // reading h/w hotword might require Soundtrigger to be active.
&&
- std::find(flags.begin(), flags.end(),
- toString(xsd::AudioInOutFlag::AUDIO_INPUT_FLAG_MMAP_NOIRQ)) ==
- flags.end() &&
+ std::find_if(
+ flags.begin(), flags.end(),
+ [](const auto& flag) {
+ return flag == toString(
+ xsd::AudioInOutFlag::
+ AUDIO_INPUT_FLAG_MMAP_NOIRQ) ||
+ flag == toString(xsd::AudioInOutFlag::
+ AUDIO_INPUT_FLAG_HW_HOTWORD);
+ }) == flags.end() &&
!getCachedPolicyConfig()
.getAttachedSourceDeviceForMixPort(
std::get<PARAM_DEVICE_NAME>(
@@ -690,6 +704,15 @@
InputStreamTest::TearDown();
}
+ bool canQueryCapturePosition() const {
+ auto maybeSourceAddress = getCachedPolicyConfig().getSourceDeviceForMixPort(
+ getDeviceName(), getMixPortName());
+ // Returning 'true' when no source is found so the test can fail later with a more clear
+ // problem description.
+ return !maybeSourceAddress.has_value() ||
+ !xsd::isTelephonyDevice(maybeSourceAddress.value().deviceType);
+ }
+
void createPatchIfNeeded() {
auto maybeSourceAddress = getCachedPolicyConfig().getSourceDeviceForMixPort(
getDeviceName(), getMixPortName());
@@ -714,6 +737,7 @@
EXPECT_OK(stream->setDevices({maybeSourceAddress.value()}));
}
}
+
void releasePatchIfNeeded() {
if (areAudioPatchesSupported()) {
if (mHasPatch) {
@@ -724,7 +748,42 @@
EXPECT_OK(stream->setDevices({address}));
}
}
- const std::string& getMixPortName() const { return std::get<PARAM_PORT_NAME>(GetParam()); }
+
+ void waitForCapturePositionAdvance(StreamReader& reader, uint64_t* firstPosition = nullptr,
+ uint64_t* lastPosition = nullptr) {
+ static constexpr int kReadDurationUs = 50 * 1000;
+ static constexpr std::chrono::milliseconds kPositionChangeTimeout{10000};
+ uint64_t framesInitial, ts;
+ // Starting / resuming of streams is asynchronous at HAL level.
+ // Sometimes HAL doesn't have enough information until the audio data actually has been
+ // produced by the hardware. Legacy HALs might return NOT_SUPPORTED when they actually
+ // mean INVALID_STATE.
+ bool timedOut = false;
+ res = Result::INVALID_STATE;
+ for (android::base::Timer elapsed;
+ res != Result::OK && !reader.hasError() &&
+ !(timedOut = (elapsed.duration() >= kPositionChangeTimeout));) {
+ usleep(kReadDurationUs);
+ ASSERT_OK(stream->getCapturePosition(returnIn(res, framesInitial, ts)));
+ ASSERT_RESULT(okOrInvalidStateOrNotSupported, res);
+ }
+ ASSERT_FALSE(reader.hasError());
+ ASSERT_FALSE(timedOut);
+
+ uint64_t frames = framesInitial;
+ for (android::base::Timer elapsed;
+ frames <= framesInitial && !reader.hasError() &&
+ !(timedOut = (elapsed.duration() >= kPositionChangeTimeout));) {
+ usleep(kReadDurationUs);
+ ASSERT_OK(stream->getCapturePosition(returnIn(res, frames, ts)));
+ ASSERT_RESULT(Result::OK, res);
+ }
+ EXPECT_FALSE(timedOut);
+ EXPECT_FALSE(reader.hasError());
+ EXPECT_GT(frames, framesInitial);
+ if (firstPosition) *firstPosition = framesInitial;
+ if (lastPosition) *lastPosition = frames;
+ }
private:
AudioPatchHandle mPatchHandle = {};
@@ -740,47 +799,36 @@
TEST_P(PcmOnlyConfigInputStreamTest, CapturePositionAdvancesWithReads) {
doc::test("Check that the capture position advances with reads");
+ if (!canQueryCapturePosition()) {
+ GTEST_SKIP() << "Capture position retrieval is not possible";
+ }
ASSERT_NO_FATAL_FAILURE(createPatchIfNeeded());
StreamReader reader(stream.get(), stream->getBufferSize());
ASSERT_TRUE(reader.start());
EXPECT_TRUE(reader.waitForAtLeastOneCycle());
-
- uint64_t framesInitial, ts;
- ASSERT_OK(stream->getCapturePosition(returnIn(res, framesInitial, ts)));
- ASSERT_RESULT(Result::OK, res);
-
- EXPECT_TRUE(reader.waitForAtLeastOneCycle());
-
- uint64_t frames;
- ASSERT_OK(stream->getCapturePosition(returnIn(res, frames, ts)));
- ASSERT_RESULT(Result::OK, res);
- EXPECT_GT(frames, framesInitial);
-
- reader.stop();
- releasePatchIfNeeded();
+ ASSERT_NO_FATAL_FAILURE(waitForCapturePositionAdvance(reader));
}
TEST_P(PcmOnlyConfigInputStreamTest, CapturePositionPreservedOnStandby) {
doc::test("Check that the capture position does not reset on standby");
+ if (!canQueryCapturePosition()) {
+ GTEST_SKIP() << "Capture position retrieval is not possible";
+ }
ASSERT_NO_FATAL_FAILURE(createPatchIfNeeded());
StreamReader reader(stream.get(), stream->getBufferSize());
ASSERT_TRUE(reader.start());
EXPECT_TRUE(reader.waitForAtLeastOneCycle());
- uint64_t framesInitial, ts;
- ASSERT_OK(stream->getCapturePosition(returnIn(res, framesInitial, ts)));
- ASSERT_RESULT(Result::OK, res);
-
+ uint64_t framesInitial;
+ ASSERT_NO_FATAL_FAILURE(waitForCapturePositionAdvance(reader, nullptr, &framesInitial));
reader.pause();
ASSERT_OK(stream->standby());
reader.resume();
- EXPECT_FALSE(reader.hasError());
uint64_t frames;
- ASSERT_OK(stream->getCapturePosition(returnIn(res, frames, ts)));
- ASSERT_RESULT(Result::OK, res);
+ ASSERT_NO_FATAL_FAILURE(waitForCapturePositionAdvance(reader, &frames, nullptr));
EXPECT_GT(frames, framesInitial);
reader.stop();
diff --git a/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h b/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
index ae1467d..aa7fd8e 100644
--- a/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
+++ b/audio/core/all-versions/vts/functional/AudioPrimaryHidlHalTest.h
@@ -1194,7 +1194,17 @@
#if MAJOR_VERSION <= 6
address.device = AudioDevice::IN_DEFAULT;
#elif MAJOR_VERSION >= 7
- address.deviceType = toString(xsd::AudioDevice::AUDIO_DEVICE_IN_DEFAULT);
+ auto maybeSourceAddress = getCachedPolicyConfig().getSourceDeviceForMixPort(
+ getDeviceName(), getMixPortName());
+ if (maybeSourceAddress.has_value() &&
+ !xsd::isTelephonyDevice(maybeSourceAddress.value().deviceType)) {
+ address = maybeSourceAddress.value();
+ auto& metadata = initMetadata.tracks[0];
+ metadata.source = toString(xsd::AudioSource::AUDIO_SOURCE_UNPROCESSED);
+ metadata.channelMask = getConfig().base.channelMask;
+ } else {
+ address.deviceType = toString(xsd::AudioDevice::AUDIO_DEVICE_IN_DEFAULT);
+ }
#endif
const AudioConfig& config = getConfig();
auto flags = getInputFlags();
@@ -1212,7 +1222,8 @@
#elif MAJOR_VERSION >= 4 && MAJOR_VERSION <= 6
const SinkMetadata initMetadata = {{ {.source = AudioSource::DEFAULT, .gain = 1 } }};
#elif MAJOR_VERSION >= 7
- const SinkMetadata initMetadata = {
+ const std::string& getMixPortName() const { return std::get<PARAM_PORT_NAME>(GetParam()); }
+ SinkMetadata initMetadata = {
{{.source = toString(xsd::AudioSource::AUDIO_SOURCE_DEFAULT),
.gain = 1,
.tags = {},
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 9788fe1..8b45f71 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -244,7 +244,7 @@
return BufferRole{
.modelIndex = bufferRole.modelIndex,
.ioIndex = bufferRole.ioIndex,
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.frequency,
};
}
@@ -577,7 +577,7 @@
return BufferRole{
.modelIndex = bufferRole.modelIndex,
.ioIndex = bufferRole.ioIndex,
- .frequency = bufferRole.frequency,
+ .frequency = bufferRole.probability,
};
}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
index f18e92a..10a6b75 100644
--- a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
@@ -36,5 +36,5 @@
parcelable BufferRole {
int modelIndex;
int ioIndex;
- float frequency;
+ float probability;
}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
index 0d7f678..c444851 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
@@ -35,5 +35,5 @@
* used in the specified role. This is provided as a hint to optimize the case when multiple
* roles prefer different buffer locations or data layouts.
*/
- float frequency;
+ float probability;
}
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index c47ba0e..45bc005 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -472,7 +472,7 @@
return BufferRole{
.modelIndex = static_cast<uint32_t>(bufferRole.modelIndex),
.ioIndex = static_cast<uint32_t>(bufferRole.ioIndex),
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.probability,
};
}
@@ -718,7 +718,7 @@
return BufferRole{
.modelIndex = static_cast<int32_t>(bufferRole.modelIndex),
.ioIndex = static_cast<int32_t>(bufferRole.ioIndex),
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.probability,
};
}
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
index 2dd02dd..1440429 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -102,7 +102,7 @@
ASSERT_NE(result, nullptr);
// Prepare arguments.
- BufferRole role = {.modelIndex = 0, .ioIndex = index, .frequency = 1.0f};
+ BufferRole role = {.modelIndex = 0, .ioIndex = index, .probability = 1.0f};
std::vector<BufferRole> inputRoles, outputRoles;
if constexpr (ioType == IOType::INPUT) {
inputRoles = {role};
diff --git a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
index 627c26a..596f8ae 100644
--- a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
@@ -337,18 +337,18 @@
const std::shared_ptr<IPreparedModel>& model2) {
validateAllocate({
.preparedModels = {model1, model2},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {model1, model2},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
- .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
+ .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {model1, model2},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
};
@@ -370,13 +370,13 @@
// Test with nullptr prepared model as input role.
validateAllocate({
.preparedModels = {nullptr},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Test with nullptr prepared model as output role.
validateAllocate({
.preparedModels = {nullptr},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -387,13 +387,13 @@
// Test with invalid prepared model as input role.
validateAllocate({
.preparedModels = {invalidPreparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Test with invalid prepared model as output role.
validateAllocate({
.preparedModels = {invalidPreparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -404,13 +404,13 @@
// This should fail, because the model index is out of bound.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
// This should fail, because the model index is out of bound.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -421,30 +421,30 @@
// This should fail, because the model only has one input.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
});
// This should fail, because the model only has one output.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
});
}
-TEST_P(MemoryDomainAllocateTest, InvalidFrequency) {
+TEST_P(MemoryDomainAllocateTest, InvalidProbability) {
auto preparedModel = createConvPreparedModel(kTestOperand);
if (preparedModel == nullptr) return;
for (float invalidFreq : {10.0f, 0.0f, -0.5f}) {
- // Test with invalid frequency for input roles.
+ // Test with invalid probability for input roles.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
});
- // Test with invalid frequency for output roles.
+ // Test with invalid probability for output roles.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
});
}
}
@@ -456,25 +456,25 @@
// Same role with same model index.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Different model indexes, but logically referring to the same role.
validateAllocate({
.preparedModels = {preparedModel, preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {preparedModel, preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -553,12 +553,12 @@
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -572,12 +572,12 @@
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -590,7 +590,7 @@
validateAllocate({
.dimensions = {1},
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .probability = 1.0f}},
});
}
@@ -624,7 +624,7 @@
std::vector<BufferRole> inputRoles(inputIndexes.size()), outputRoles(outputIndexes.size());
auto trans = [](int32_t ind) -> BufferRole {
- return {.modelIndex = 0, .ioIndex = ind, .frequency = 1.0f};
+ return {.modelIndex = 0, .ioIndex = ind, .probability = 1.0f};
};
std::transform(inputIndexes.begin(), inputIndexes.end(), inputRoles.begin(), trans);
std::transform(outputIndexes.begin(), outputIndexes.end(), outputRoles.begin(), trans);