Add Capabilities::relaxedFloat32toFloat16Performance for 1.1. (021e96ae) · Commits · e / os / android_hardware_interfaces

neuralnetworks/1.1/IDevice.hal

+14 −0

Original line number	Diff line number	Diff line
		@@ -24,6 +24,20 @@ import @1.0::IPreparedModelCallback;
		* This interface represents a device driver.
		*/
		interface IDevice extends @1.0::IDevice {
		/**
		* Gets the capabilities of a driver.
		*
		* Note that @1.1::Capabilities provides performance information
		* on relaxed calculations, whereas @1.0::Capabilities does not.
		*
		* @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_1() generates (ErrorStatus status, Capabilities capabilities);

		/**
		* Gets the supported operations in a model.
		*

neuralnetworks/1.1/types.hal

+23 −0

Original line number	Diff line number	Diff line
		@@ -18,6 +18,7 @@ package android.hardware.neuralnetworks@1.1;

		import @1.0::Operand;
		import @1.0::OperationType;
		import @1.0::PerformanceInfo;

		/**
		* Operation types.
		@@ -258,6 +259,28 @@ enum OperationType : @1.0::OperationType {
		TRANSPOSE = 37,
		};

		/**
		* The capabilities of a driver.
		*/
		struct Capabilities {
		/**
		* Driver performance when operating on float32 data.
		*/
		PerformanceInfo float32Performance;

		/**
		* Driver performance when operating on asymmetric 8-bit quantized data.
		*/
		PerformanceInfo quantized8Performance;

		/**
		* 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 relaxedFloat32toFloat16Performance;
		};

		/**
		* Describes one operation of the model's graph.
		*/

neuralnetworks/1.1/vts/functional/VtsHalNeuralnetworksV1_1BasicTest.cpp

+4 −2

Original line number	Diff line number	Diff line
		@@ -29,7 +29,6 @@
		#include <hidlmemory/mapping.h>

		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::ErrorStatus;
		using ::android::hardware::neuralnetworks::V1_0::FusedActivationFunc;
		@@ -37,6 +36,7 @@ using ::android::hardware::neuralnetworks::V1_0::Operand;
		using ::android::hardware::neuralnetworks::V1_0::OperandLifeTime;
		using ::android::hardware::neuralnetworks::V1_0::OperandType;
		using ::android::hardware::neuralnetworks::V1_0::Request;
		using ::android::hardware::neuralnetworks::V1_1::Capabilities;
		using ::android::hardware::neuralnetworks::V1_1::IDevice;
		using ::android::hardware::neuralnetworks::V1_1::Model;
		using ::android::hardware::neuralnetworks::V1_1::Operation;
		@@ -95,12 +95,14 @@ TEST_F(NeuralnetworksHidlTest, StatusTest) {
		// initialization
		TEST_F(NeuralnetworksHidlTest, GetCapabilitiesTest) {
		Return<void> ret =
		device->getCapabilities([](ErrorStatus status, const Capabilities& capabilities) {
		device->getCapabilities_1_1([](ErrorStatus status, const Capabilities& capabilities) {
		EXPECT_EQ(ErrorStatus::NONE, status);
		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_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.execTime);
		EXPECT_LT(0.0f, capabilities.relaxedFloat32toFloat16Performance.powerUsage);
		});
		EXPECT_TRUE(ret.isOk());
		}