Merge changes from topic 'nnapi_hal_move' into oc-mr1-dev

am: 9154eae534

Change-Id: I789b1f2d74b79b8479bc6b389b2dab2ca5104c74

neuralnetworks/1.0/vts/functional/Android.bp

@@ -0,0 +1,37 @@
+//
+// Copyright (C) 2017 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.
+//
+
+cc_test {
+    name: "VtsHalNeuralnetworksV1_0TargetTest",
+    srcs: ["VtsHalNeuralnetworksV1_0TargetTest.cpp"],
+    defaults: ["hidl_defaults"],
+    shared_libs: [
+        "libbase",
+        "libhidlbase",
+        "libhidlmemory",
+        "libhidltransport",
+        "liblog",
+        "libutils",
+        "android.hardware.neuralnetworks@1.0",
+        "android.hidl.allocator@1.0",
+        "android.hidl.memory@1.0",
+    ],
+    static_libs: ["VtsHalHidlTargetTestBase"],
+    cflags: [
+        "-O0",
+        "-g",
+    ],
+}

neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp

@@ -0,0 +1,245 @@
+/*
+ * Copyright (C) 2017 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 "VtsHalNeuralnetworksV1_0TargetTest.h"
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+#include <string>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+// A class for test environment setup
+NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
+
+NeuralnetworksHidlEnvironment* NeuralnetworksHidlEnvironment::getInstance() {
+    // This has to return a "new" object because it is freed inside
+    // ::testing::AddGlobalTestEnvironment when the gtest is being torn down
+    static NeuralnetworksHidlEnvironment* instance = new NeuralnetworksHidlEnvironment();
+    return instance;
+}
+
+void NeuralnetworksHidlEnvironment::registerTestServices() {
+    registerTestService("android.hardware.neuralnetworks", "1.0", "IDevice");
+}
+
+// The main test class for NEURALNETWORK HIDL HAL.
+void NeuralnetworksHidlTest::SetUp() {
+    std::string instance =
+        NeuralnetworksHidlEnvironment::getInstance()->getServiceName(IDevice::descriptor);
+    LOG(INFO) << "running vts test with instance: " << instance;
+    device = ::testing::VtsHalHidlTargetTestBase::getService<IDevice>(instance);
+    ASSERT_NE(nullptr, device.get());
+}
+
+void NeuralnetworksHidlTest::TearDown() {}
+
+// create device test
+TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
+
+// status test
+TEST_F(NeuralnetworksHidlTest, StatusTest) {
+    DeviceStatus status = device->getStatus();
+    EXPECT_EQ(DeviceStatus::AVAILABLE, status);
+}
+
+// initialization
+TEST_F(NeuralnetworksHidlTest, InitializeTest) {
+    Return<void> ret = device->initialize([](const Capabilities& capabilities) {
+        EXPECT_NE(nullptr, capabilities.supportedOperationTypes.data());
+        EXPECT_NE(0ull, capabilities.supportedOperationTypes.size());
+        EXPECT_EQ(0u, static_cast<uint32_t>(capabilities.cachesCompilation) & ~0x1);
+        EXPECT_LT(0.0f, capabilities.bootupTime);
+        EXPECT_LT(0.0f, capabilities.float16Performance.execTime);
+        EXPECT_LT(0.0f, capabilities.float16Performance.powerUsage);
+        EXPECT_LT(0.0f, capabilities.float32Performance.execTime);
+        EXPECT_LT(0.0f, capabilities.float32Performance.powerUsage);
+        EXPECT_LT(0.0f, capabilities.quantized8Performance.execTime);
+        EXPECT_LT(0.0f, capabilities.quantized8Performance.powerUsage);
+    });
+    EXPECT_TRUE(ret.isOk());
+}
+
+namespace {
+// create the model
+Model createTestModel() {
+    const std::vector<float> operand2Data = {5.0f, 6.0f, 7.0f, 8.0f};
+    const uint32_t size = operand2Data.size() * sizeof(float);
+
+    const uint32_t operand1 = 0;
+    const uint32_t operand2 = 1;
+    const uint32_t operand3 = 2;
+
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {1, 2, 2, 1},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .location = {.poolIndex = static_cast<uint32_t>(LocationValues::LOCATION_AT_RUN_TIME),
+                         .offset = 0,
+                         .length = 0},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {1, 2, 2, 1},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .location = {.poolIndex = static_cast<uint32_t>(LocationValues::LOCATION_SAME_BLOCK),
+                         .offset = 0,
+                         .length = size},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {1, 2, 2, 1},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .location = {.poolIndex = static_cast<uint32_t>(LocationValues::LOCATION_AT_RUN_TIME),
+                         .offset = 0,
+                         .length = 0},
+        },
+    };
+
+    const std::vector<Operation> operations = {{
+        .type = OperationType::ADD_FLOAT32, .inputs = {operand1, operand2}, .outputs = {operand3},
+    }};
+
+    const std::vector<uint32_t> inputIndexes = {operand1};
+    const std::vector<uint32_t> outputIndexes = {operand3};
+    const std::vector<uint8_t> operandValues(reinterpret_cast<const uint8_t*>(operand2Data.data()),
+                                             reinterpret_cast<const uint8_t*>(operand2Data.data()) +
+                                                 operand2Data.size() * sizeof(float));
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+// allocator helper
+hidl_memory allocateSharedMemory(int64_t size, const std::string& type = "ashmem") {
+    hidl_memory memory;
+
+    sp<IAllocator> allocator = IAllocator::getService(type);
+    if (!allocator.get()) {
+        return {};
+    }
+
+    Return<void> ret = allocator->allocate(size, [&](bool success, const hidl_memory& mem) {
+        ASSERT_TRUE(success);
+        memory = mem;
+    });
+    if (!ret.isOk()) {
+        return {};
+    }
+
+    return memory;
+}
+}  // anonymous namespace
+
+// supported subgraph test
+TEST_F(NeuralnetworksHidlTest, SupportedSubgraphTest) {
+    Model model = createTestModel();
+    std::vector<bool> supported;
+    Return<void> ret = device->getSupportedSubgraph(
+        model, [&](const hidl_vec<bool>& hidl_supported) { supported = hidl_supported; });
+    ASSERT_TRUE(ret.isOk());
+    EXPECT_EQ(/*model.operations.size()*/ 0ull, supported.size());
+}
+
+// execute simple graph
+TEST_F(NeuralnetworksHidlTest, SimpleExecuteGraphTest) {
+    std::vector<float> inputData = {1.0f, 2.0f, 3.0f, 4.0f};
+    std::vector<float> outputData = {-1.0f, -1.0f, -1.0f, -1.0f};
+    std::vector<float> expectedData = {6.0f, 8.0f, 10.0f, 12.0f};
+    const uint32_t INPUT = 0;
+    const uint32_t OUTPUT = 1;
+
+    // prpeare request
+    Model model = createTestModel();
+    sp<IPreparedModel> preparedModel = device->prepareModel(model);
+    ASSERT_NE(nullptr, preparedModel.get());
+
+    // prepare inputs
+    uint32_t inputSize = static_cast<uint32_t>(inputData.size() * sizeof(float));
+    uint32_t outputSize = static_cast<uint32_t>(outputData.size() * sizeof(float));
+    std::vector<InputOutputInfo> inputs = {{
+        .location = {.poolIndex = INPUT, .offset = 0, .length = inputSize}, .dimensions = {},
+    }};
+    std::vector<InputOutputInfo> outputs = {{
+        .location = {.poolIndex = OUTPUT, .offset = 0, .length = outputSize}, .dimensions = {},
+    }};
+    std::vector<hidl_memory> pools = {allocateSharedMemory(inputSize),
+                                      allocateSharedMemory(outputSize)};
+    ASSERT_NE(0ull, pools[INPUT].size());
+    ASSERT_NE(0ull, pools[OUTPUT].size());
+
+    // load data
+    sp<IMemory> inputMemory = mapMemory(pools[INPUT]);
+    sp<IMemory> outputMemory = mapMemory(pools[OUTPUT]);
+    ASSERT_NE(nullptr, inputMemory.get());
+    ASSERT_NE(nullptr, outputMemory.get());
+    float* inputPtr = reinterpret_cast<float*>(static_cast<void*>(inputMemory->getPointer()));
+    float* outputPtr = reinterpret_cast<float*>(static_cast<void*>(outputMemory->getPointer()));
+    ASSERT_NE(nullptr, inputPtr);
+    ASSERT_NE(nullptr, outputPtr);
+    std::copy(inputData.begin(), inputData.end(), inputPtr);
+    std::copy(outputData.begin(), outputData.end(), outputPtr);
+    inputMemory->commit();
+    outputMemory->commit();
+
+    // execute request
+    bool success = preparedModel->execute({.inputs = inputs, .outputs = outputs, .pools = pools});
+    EXPECT_TRUE(success);
+
+    // validate results { 1+5, 2+6, 3+7, 4+8 }
+    outputMemory->update();
+    std::copy(outputPtr, outputPtr + outputData.size(), outputData.begin());
+    EXPECT_EQ(expectedData, outputData);
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+using android::hardware::neuralnetworks::V1_0::vts::functional::NeuralnetworksHidlEnvironment;
+
+int main(int argc, char** argv) {
+    ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
+    ::testing::InitGoogleTest(&argc, argv);
+    NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
+
+    int status = RUN_ALL_TESTS();
+    return status;
+}

neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.h

@@ -0,0 +1,82 @@
+/*
+ * Copyright (C) 2017 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.
+ */
+
+#ifndef VTS_HAL_NEURALNETWORKS_V1_0_TARGET_TESTS_H
+#define VTS_HAL_NEURALNETWORKS_V1_0_TARGET_TESTS_H
+
+#include <android/hardware/neuralnetworks/1.0/IDevice.h>
+#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hidl/allocator/1.0/IAllocator.h>
+
+#include <VtsHalHidlTargetTestBase.h>
+#include <VtsHalHidlTargetTestEnvBase.h>
+#include <gtest/gtest.h>
+#include <string>
+
+using ::android::hardware::neuralnetworks::V1_0::IDevice;
+using ::android::hardware::neuralnetworks::V1_0::IPreparedModel;
+using ::android::hardware::neuralnetworks::V1_0::Capabilities;
+using ::android::hardware::neuralnetworks::V1_0::DeviceStatus;
+using ::android::hardware::neuralnetworks::V1_0::Model;
+using ::android::hardware::neuralnetworks::V1_0::OperationType;
+using ::android::hardware::neuralnetworks::V1_0::PerformanceInfo;
+using ::android::hardware::Return;
+using ::android::hardware::Void;
+using ::android::hardware::hidl_memory;
+using ::android::hardware::hidl_string;
+using ::android::hardware::hidl_vec;
+using ::android::hidl::allocator::V1_0::IAllocator;
+using ::android::hidl::memory::V1_0::IMemory;
+using ::android::sp;
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_0 {
+namespace vts {
+namespace functional {
+
+// A class for test environment setup
+class NeuralnetworksHidlEnvironment : public ::testing::VtsHalHidlTargetTestEnvBase {
+    NeuralnetworksHidlEnvironment();
+    NeuralnetworksHidlEnvironment(const NeuralnetworksHidlEnvironment&) = delete;
+    NeuralnetworksHidlEnvironment(NeuralnetworksHidlEnvironment&&) = delete;
+    NeuralnetworksHidlEnvironment& operator=(const NeuralnetworksHidlEnvironment&) = delete;
+    NeuralnetworksHidlEnvironment& operator=(NeuralnetworksHidlEnvironment&&) = delete;
+
+   public:
+    static NeuralnetworksHidlEnvironment* getInstance();
+    virtual void registerTestServices() override;
+};
+
+// The main test class for NEURALNETWORKS HIDL HAL.
+class NeuralnetworksHidlTest : public ::testing::VtsHalHidlTargetTestBase {
+   public:
+    virtual void SetUp() override;
+    virtual void TearDown() override;
+
+    sp<IDevice> device;
+};
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_0
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
+
+#endif  // VTS_HAL_NEURALNETWORKS_V1_0_TARGET_TESTS_H

neuralnetworks/Android.bp

@@ -1,4 +1,5 @@
 // This is an autogenerated file, do not edit.
 subdirs = [
     "1.0",
+    "1.0/vts/functional",
 ]