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

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am: 2d47c80c8e

Change-Id: Ibfbad70244b78f82a5e938f8f94e3034d1aff987
This commit is contained in:
David Gross 2019-03-22 13:18:54 -07:00 committed by android-build-merger
commit 8a8a9dfe29
4 changed files with 72 additions and 3 deletions
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4
current.txt
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@ -446,11 +446,11 @@ dd1ec219f5d2e2b33c6c0bcb92e63bbedb36f7c716413462848f6b6ae74fc864 android.hardwar
2b4a14661e6a38617b7dd0c6ebb66a56a90e564674ac7697a14cb8a0cab92b2f android.hardware.health.storage@1.0::types
4880af120fc1640225abdc2c60bda6d79617d73484d5124913c7278af3b11e2d android.hardware.neuralnetworks@1.2::IBurstCallback
19877e466ad8c6ed42b38050b77bd010cf7800ff365fdc8574f45bbfda03a758 android.hardware.neuralnetworks@1.2::IBurstContext
96249c852dabeefa3a9496ecdfc44681a071c665bfbf88527bf775c88bf1ab1b android.hardware.neuralnetworks@1.2::IDevice
dbe96a8ecf3c1f645585c27568464bc4db3c4b2d9a9624d88da606c59959afbe android.hardware.neuralnetworks@1.2::IDevice
92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
83885d366f22ada42c00d8854f0b7e7ba4cf73ddf80bb0d8e168ce132cec57ea android.hardware.neuralnetworks@1.2::IPreparedModel
e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
730c74ee5a3dd61a73f150cf07653e4b928e413b0f228eb004541bfcc22ed245 android.hardware.neuralnetworks@1.2::types
ba7e93fb136cabfde41ac1b035abd87a51f2c260cea89163984e4e9c69b55a5f 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
neuralnetworks/1.2/IDevice.hal
View file

@ -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
neuralnetworks/1.2/types.hal
View file

@ -4582,6 +4582,39 @@ 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.
*/

27
neuralnetworks/1.2/vts/functional/BasicTests.cpp
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@ -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) {