Donate to e Foundation | Murena handsets with /e/OS | Own a part of Murena! Learn more

Commit c1ebcb1f authored by Xusong Wang's avatar Xusong Wang Committed by Android (Google) Code Review
Browse files

Merge "Add @V1_2::Capabilities to support all non extension operand types."

parents 24b937ec 632b4bd9
Loading
Loading
Loading
Loading
+2 −2
Original line number Diff line number Diff line
@@ -508,11 +508,11 @@ b9422a9aca84df1ff9623dc12c0562abce97716e28d63a965f2bfb88f9ad9607 android.hardwar
4cb139f729c29d8d6f4ecdab149c4feb571dad8a06e56cd57fcb52e70208bab4 android.hardware.media.c2@1.0::types
4880af120fc1640225abdc2c60bda6d79617d73484d5124913c7278af3b11e2d android.hardware.neuralnetworks@1.2::IBurstCallback
19877e466ad8c6ed42b38050b77bd010cf7800ff365fdc8574f45bbfda03a758 android.hardware.neuralnetworks@1.2::IBurstContext
363821d1b71147b896a08e2a570946db9b9d46f90d9f91b085bd8d3013a2b4d5 android.hardware.neuralnetworks@1.2::IDevice
b83317b66721241887d2770b5ae95fd5af1e77c5daa7530ecb08fae8892f2b43 android.hardware.neuralnetworks@1.2::IDevice
92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel
e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
39a6d7cf9bc7290bd90739e971ccad5f35f5cc0faea4a417b59f22c9ca9f1f2a android.hardware.neuralnetworks@1.2::types
d734c2441b602da240fa0e9afe3b612cdc9f3ae9c1db13216f957861d0673c5e android.hardware.neuralnetworks@1.2::types
cf7a4ba516a638f9b82a249c91fb603042c2d9ca43fd5aad9cf6c0401ed2a5d7 android.hardware.nfc@1.2::INfc
abf98c2ae08bf765db54edc8068e36d52eb558cff6706b6fd7c18c65a1f3fc18 android.hardware.nfc@1.2::types
4cb252dc6372a874aef666b92a6e9529915aa187521a700f0789065c3c702ead android.hardware.power.stats@1.0::IPowerStats
+11 −0
Original line number Diff line number Diff line
@@ -75,6 +75,17 @@ interface IDevice extends @1.1::IDevice {
     */
    getType() generates (ErrorStatus status, DeviceType type);

    /**
     * Gets the capabilities of a driver.
     *
     * @return status Error status of the call, must be:
     *                - NONE if successful
     *                - DEVICE_UNAVAILABLE if driver is offline or busy
     *                - GENERAL_FAILURE if there is an unspecified error
     * @return capabilities Capabilities of the driver.
     */
    getCapabilities_1_2() generates (ErrorStatus status, Capabilities capabilities);

    /**
     * Gets information about extensions supported by the driver implementation.
     *
+33 −0
Original line number Diff line number Diff line
@@ -4617,6 +4617,39 @@ enum DeviceType : int32_t {
    ACCELERATOR       = 4,
};

/**
 * The capabilities of a driver.
 *
 * Performance of an operation comes from the type of its first operand.
 * This represents performance for non extension operand types.
 */
struct Capabilities {
    /**
     * Driver performance when operating on float32 data but performing
     * calculations with range and/or precision as low as that of the IEEE
     * 754 16-bit floating-point format.
     */
    PerformanceInfo relaxedFloat32toFloat16PerformanceScalar;
    PerformanceInfo relaxedFloat32toFloat16PerformanceTensor;

    /**
     * Driver performance when operating on a particular data type.
     * In the case of float32 data, this is used when the calculations
     * are not relaxed.
     */
    struct OperandPerformance {
        OperandType type;
        PerformanceInfo info;
    };

    /**
     * Performance by operand type. Must be sorted by OperandType.
     * If a particular OperandType is not present in operandPerformance,
     * its performance is treated as { .execTime = FLT_MAX, .powerUsage = FLT_MAX }.
     */
    vec<OperandPerformance> operandPerformance;
};

/**
 * Describes one operation of the model's graph.
 */
+26 −1
Original line number Diff line number Diff line
@@ -25,7 +25,7 @@ namespace V1_2 {
namespace vts {
namespace functional {

using V1_1::Capabilities;
using V1_0::PerformanceInfo;

// create device test
TEST_F(NeuralnetworksHidlTest, CreateDevice) {}
@@ -37,6 +37,31 @@ TEST_F(NeuralnetworksHidlTest, StatusTest) {
    EXPECT_EQ(DeviceStatus::AVAILABLE, static_cast<DeviceStatus>(status));
}

// initialization
TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
    using OperandPerformance = Capabilities::OperandPerformance;
    Return<void> ret = device->getCapabilities_1_2([](ErrorStatus status,
                                                      const Capabilities& capabilities) {
        EXPECT_EQ(ErrorStatus::NONE, status);

        auto isPositive = [](const PerformanceInfo& perf) {
            return perf.execTime > 0.0f && perf.powerUsage > 0.0f;
        };

        EXPECT_TRUE(isPositive(capabilities.relaxedFloat32toFloat16PerformanceScalar));
        EXPECT_TRUE(isPositive(capabilities.relaxedFloat32toFloat16PerformanceTensor));
        const auto& opPerf = capabilities.operandPerformance;
        EXPECT_TRUE(std::all_of(
                opPerf.begin(), opPerf.end(),
                [isPositive](const OperandPerformance& a) { return isPositive(a.info); }));
        EXPECT_TRUE(std::is_sorted(opPerf.begin(), opPerf.end(),
                                   [](const OperandPerformance& a, const OperandPerformance& b) {
                                       return a.type < b.type;
                                   }));
    });
    EXPECT_TRUE(ret.isOk());
}

// device version test
TEST_F(NeuralnetworksHidlTest, GetDeviceVersionStringTest) {
    Return<void> ret = device->getVersionString([](ErrorStatus status, const hidl_string& version) {