Merge "neuralnetworks: fix out ParcelFileDescriptor" am: 1f37668552
Original change: https://android-review.googlesource.com/c/platform/hardware/interfaces/+/1607935
MUST ONLY BE SUBMITTED BY AUTOMERGER
Change-Id: I908a225032724c68c7392bcf0b505ee120423c19
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FencedExecutionResult.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FencedExecutionResult.aidl
new file mode 100644
index 0000000..7952b34
--- /dev/null
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FencedExecutionResult.aidl
@@ -0,0 +1,39 @@
+/*
+ * Copyright (C) 2021 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.
+ */
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL file. Do not edit it manually. There are
+// two cases:
+// 1). this is a frozen version file - do not edit this in any case.
+// 2). this is a 'current' file. If you make a backwards compatible change to
+// the interface (from the latest frozen version), the build system will
+// prompt you to update this file with `m <name>-update-api`.
+//
+// You must not make a backward incompatible change to any AIDL file built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.neuralnetworks;
+@VintfStability
+parcelable FencedExecutionResult {
+ android.hardware.neuralnetworks.IFencedExecutionCallback callback;
+ @nullable ParcelFileDescriptor syncFence;
+}
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl
index 3ca1550..1f7cbe0 100644
--- a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -34,7 +34,7 @@
@VintfStability
interface IPreparedModel {
android.hardware.neuralnetworks.ExecutionResult executeSynchronously(in android.hardware.neuralnetworks.Request request, in boolean measureTiming, in long deadline, in long loopTimeoutDuration);
- android.hardware.neuralnetworks.IFencedExecutionCallback executeFenced(in android.hardware.neuralnetworks.Request request, in ParcelFileDescriptor[] waitFor, in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration, out @nullable ParcelFileDescriptor syncFence);
+ android.hardware.neuralnetworks.FencedExecutionResult executeFenced(in android.hardware.neuralnetworks.Request request, in ParcelFileDescriptor[] waitFor, in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration);
const long DEFAULT_LOOP_TIMEOUT_DURATION_NS = 2000000000;
const long MAXIMUM_LOOP_TIMEOUT_DURATION_NS = 15000000000;
}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/FencedExecutionResult.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/FencedExecutionResult.aidl
new file mode 100644
index 0000000..ba3be31
--- /dev/null
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/FencedExecutionResult.aidl
@@ -0,0 +1,37 @@
+/*
+ * Copyright (C) 2021 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.
+ */
+
+package android.hardware.neuralnetworks;
+
+import android.hardware.neuralnetworks.IFencedExecutionCallback;
+
+/**
+ * A result from running an asynchronous execution of a prepared model.
+ */
+@VintfStability
+parcelable FencedExecutionResult {
+ /**
+ * IFencedExecutionCallback can be used to query information like duration and error
+ * status when the execution is completed.
+ */
+ IFencedExecutionCallback callback;
+ /**
+ * The sync fence that will be signaled when the task is completed. The
+ * sync fence will be set to error if a critical error, e.g. hardware
+ * failure or kernel panic, occurs when doing execution.
+ */
+ @nullable ParcelFileDescriptor syncFence;
+}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
index 2414a4a..0240e3c 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -19,7 +19,7 @@
import android.hardware.common.NativeHandle;
import android.hardware.neuralnetworks.ErrorStatus;
import android.hardware.neuralnetworks.ExecutionResult;
-import android.hardware.neuralnetworks.IFencedExecutionCallback;
+import android.hardware.neuralnetworks.FencedExecutionResult;
import android.hardware.neuralnetworks.Request;
/**
@@ -152,11 +152,8 @@
* complete after all sync fences in waitFor are signaled. If the execution
* cannot be finished within the duration, the execution may be aborted. Passing
* -1 means the duration is omitted. Other negative values are invalid.
- * @param out syncFence The sync fence that will be signaled when the task is completed. The
- * sync fence will be set to error if a critical error, e.g. hardware
- * failure or kernel panic, occurs when doing execution.
- * @return The IFencedExecutionCallback can be used to query information like duration and error
- * status when the execution is completed.
+ * @return The FencedExecutionResult parcelable, containing IFencedExecutionCallback and the
+ * sync fence.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
@@ -166,7 +163,7 @@
* deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
- IFencedExecutionCallback executeFenced(in Request request, in ParcelFileDescriptor[] waitFor,
+ FencedExecutionResult executeFenced(in Request request, in ParcelFileDescriptor[] waitFor,
in boolean measureTiming, in long deadline, in long loopTimeoutDuration,
- in long duration, out @nullable ParcelFileDescriptor syncFence);
+ in long duration);
}
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
index 4beb828..4eb704b 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -571,33 +571,32 @@
case Executor::FENCED: {
SCOPED_TRACE("fenced");
ErrorStatus result = ErrorStatus::NONE;
- ndk::ScopedFileDescriptor syncFenceFd;
- std::shared_ptr<IFencedExecutionCallback> fencedCallback;
+ FencedExecutionResult executionResult;
auto ret = preparedModel->executeFenced(request, {}, testConfig.measureTiming,
kNoDeadline, loopTimeoutDuration, kNoDuration,
- &syncFenceFd, &fencedCallback);
+ &executionResult);
ASSERT_TRUE(ret.isOk() || ret.getExceptionCode() == EX_SERVICE_SPECIFIC)
<< ret.getDescription();
if (!ret.isOk()) {
result = static_cast<ErrorStatus>(ret.getServiceSpecificError());
executionStatus = result;
- } else if (syncFenceFd.get() != -1) {
+ } else if (executionResult.syncFence.get() != -1) {
std::vector<ndk::ScopedFileDescriptor> waitFor;
- auto dupFd = dup(syncFenceFd.get());
+ auto dupFd = dup(executionResult.syncFence.get());
ASSERT_NE(dupFd, -1);
waitFor.emplace_back(dupFd);
// If a sync fence is returned, try start another run waiting for the sync fence.
ret = preparedModel->executeFenced(request, waitFor, testConfig.measureTiming,
kNoDeadline, loopTimeoutDuration, kNoDuration,
- &syncFenceFd, &fencedCallback);
+ &executionResult);
ASSERT_TRUE(ret.isOk());
- waitForSyncFence(syncFenceFd.get());
+ waitForSyncFence(executionResult.syncFence.get());
}
if (result == ErrorStatus::NONE) {
- ASSERT_NE(fencedCallback, nullptr);
+ ASSERT_NE(executionResult.callback, nullptr);
Timing timingFenced;
- auto ret =
- fencedCallback->getExecutionInfo(&timing, &timingFenced, &executionStatus);
+ auto ret = executionResult.callback->getExecutionInfo(&timing, &timingFenced,
+ &executionStatus);
ASSERT_TRUE(ret.isOk());
}
break;
diff --git a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
index a37a0ca..1929750 100644
--- a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
@@ -198,8 +198,8 @@
static_cast<int32_t>(ErrorStatus::GENERAL_FAILURE));
}
ndk::ScopedAStatus executeFenced(const Request&, const std::vector<ndk::ScopedFileDescriptor>&,
- bool, int64_t, int64_t, int64_t, ndk::ScopedFileDescriptor*,
- std::shared_ptr<IFencedExecutionCallback>*) override {
+ bool, int64_t, int64_t, int64_t,
+ FencedExecutionResult*) override {
return ndk::ScopedAStatus::fromServiceSpecificError(
static_cast<int32_t>(ErrorStatus::GENERAL_FAILURE));
}
@@ -893,25 +893,24 @@
ErrorStatus executeFenced(const std::shared_ptr<IPreparedModel>& preparedModel,
const Request& request) {
- ndk::ScopedFileDescriptor syncFence;
- std::shared_ptr<IFencedExecutionCallback> fencedCallback;
+ FencedExecutionResult executionResult;
const auto ret = preparedModel->executeFenced(request, {}, false, kNoDeadline,
kOmittedTimeoutDuration, kNoDuration,
- &syncFence, &fencedCallback);
+ &executionResult);
if (!ret.isOk()) {
EXPECT_EQ(ret.getExceptionCode(), EX_SERVICE_SPECIFIC);
return static_cast<ErrorStatus>(ret.getServiceSpecificError());
}
- if (syncFence.get() != -1) {
- waitForSyncFence(syncFence.get());
+ if (executionResult.syncFence.get() != -1) {
+ waitForSyncFence(executionResult.syncFence.get());
}
- EXPECT_NE(fencedCallback, nullptr);
+ EXPECT_NE(executionResult.callback, nullptr);
ErrorStatus executionStatus = ErrorStatus::GENERAL_FAILURE;
Timing time = kNoTiming;
Timing timeFenced = kNoTiming;
const auto retExecutionInfo =
- fencedCallback->getExecutionInfo(&time, &timeFenced, &executionStatus);
+ executionResult.callback->getExecutionInfo(&time, &timeFenced, &executionStatus);
EXPECT_TRUE(retExecutionInfo.isOk());
EXPECT_EQ(time, kNoTiming);
return executionStatus;
diff --git a/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp b/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp
index db8f429..3be4c1b 100644
--- a/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/aidl/vts/functional/ValidateRequest.cpp
@@ -68,11 +68,10 @@
// fenced
{
SCOPED_TRACE(message + " [executeFenced]");
- ndk::ScopedFileDescriptor syncFence;
- std::shared_ptr<IFencedExecutionCallback> callback;
+ FencedExecutionResult executionResult;
const auto executeStatus = preparedModel->executeFenced(request, {}, false, kNoDeadline,
kOmittedTimeoutDuration,
- kNoDuration, &syncFence, &callback);
+ kNoDuration, &executionResult);
ASSERT_FALSE(executeStatus.isOk());
ASSERT_EQ(executeStatus.getExceptionCode(), EX_SERVICE_SPECIFIC);
ASSERT_EQ(static_cast<ErrorStatus>(executeStatus.getServiceSpecificError()),