diff options
| -rw-r--r-- | current.txt | 4 | ||||
| -rw-r--r-- | neuralnetworks/1.2/IDevice.hal | 11 | ||||
| -rw-r--r-- | neuralnetworks/1.2/types.hal | 33 | ||||
| -rw-r--r-- | neuralnetworks/1.2/vts/functional/BasicTests.cpp | 27 |
4 files changed, 72 insertions, 3 deletions
diff --git a/current.txt b/current.txt index 23b019e8a..d68bde5fd 100644 --- a/current.txt +++ b/current.txt @@ -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 diff --git a/neuralnetworks/1.2/IDevice.hal b/neuralnetworks/1.2/IDevice.hal index da9a966ba..d83f9e675 100644 --- a/neuralnetworks/1.2/IDevice.hal +++ b/neuralnetworks/1.2/IDevice.hal @@ -76,6 +76,17 @@ 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. * * All extension operations and operands must be fully supported for the diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal index 28d01192d..7691642f7 100644 --- a/neuralnetworks/1.2/types.hal +++ b/neuralnetworks/1.2/types.hal @@ -4618,6 +4618,39 @@ enum DeviceType : int32_t { }; /** + * 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. */ struct Operation { diff --git a/neuralnetworks/1.2/vts/functional/BasicTests.cpp b/neuralnetworks/1.2/vts/functional/BasicTests.cpp index 6fb16c203..5c269df27 100644 --- a/neuralnetworks/1.2/vts/functional/BasicTests.cpp +++ b/neuralnetworks/1.2/vts/functional/BasicTests.cpp @@ -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) { |