// // Copyright © 2017 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "../../1.2/ArmnnDriverImpl.hpp" #include "Utils.h" #include #include #include using namespace std; struct CapabilitiesFixture { CapabilitiesFixture() { // CleanUp before the execution of each test CleanUp(); } ~CapabilitiesFixture() { // CleanUp after the execution of each test CleanUp(); } void CleanUp() { const char* nullStr = ""; __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeFloat32Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeFloat16Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeInt32Performance.execTime", nullStr); __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", nullStr); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", nullStr); } }; void CheckOperandType(const V1_2::Capabilities& capabilities, V1_2::OperandType type, float execTime, float powerUsage) { using namespace armnn_driver::hal_1_2; PerformanceInfo perfInfo = android::nn::lookup(capabilities.operandPerformance, type); BOOST_ASSERT(perfInfo.execTime == execTime); BOOST_ASSERT(perfInfo.powerUsage == powerUsage); } BOOST_FIXTURE_TEST_SUITE(CapabilitiesTests, CapabilitiesFixture) BOOST_AUTO_TEST_CASE(PerformanceCapabilitiesWithRuntime) { using namespace armnn_driver::hal_1_2; using namespace android::nn; auto getCapabilitiesFn = [&](V1_0::ErrorStatus error, const V1_2::Capabilities& capabilities) { CheckOperandType(capabilities, V1_2::OperandType::TENSOR_FLOAT32, 2.0f, 2.1f); CheckOperandType(capabilities, V1_2::OperandType::FLOAT32, 2.2f, 2.3f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_FLOAT16, 2.4f, 2.5f); CheckOperandType(capabilities, V1_2::OperandType::FLOAT16, 2.6f, 2.7f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_ASYMM, 2.8f, 2.9f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT16_SYMM, 3.0f, 3.1f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_INT32, 3.2f, 3.3f); CheckOperandType(capabilities, V1_2::OperandType::INT32, 3.4f, 3.5f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_SYMM, 2.8f, 2.9f); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL, 2.8f, 2.9f); // Unsupported operands take FLT_MAX value CheckOperandType(capabilities, V1_2::OperandType::UINT32, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::BOOL, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT16_ASYMM, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_BOOL8, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::OEM, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_OEM_BYTE, FLT_MAX, FLT_MAX); BOOST_ASSERT(error == V1_0::ErrorStatus::NONE); }; __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", "2.0f"); __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", "2.1f"); __system_property_set("Armnn.operandTypeFloat32Performance.execTime", "2.2f"); __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", "2.3f"); __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", "2.4f"); __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", "2.5f"); __system_property_set("Armnn.operandTypeFloat16Performance.execTime", "2.6f"); __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", "2.7f"); __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", "2.8f"); __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", "2.9f"); __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", "3.0f"); __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", "3.1f"); __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", "3.2f"); __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", "3.3f"); __system_property_set("Armnn.operandTypeInt32Performance.execTime", "3.4f"); __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", "3.5f"); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.execTime", "2.8f"); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", "2.9f"); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", "2.8f"); __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", "2.9f"); armnn::IRuntime::CreationOptions options; armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); ArmnnDriverImpl::getCapabilities_1_2(runtime, getCapabilitiesFn); } BOOST_AUTO_TEST_CASE(PerformanceCapabilitiesUndefined) { using namespace armnn_driver::hal_1_2; using namespace android::nn; float defaultValue = .1f; auto getCapabilitiesFn = [&](V1_0::ErrorStatus error, const V1_2::Capabilities& capabilities) { CheckOperandType(capabilities, V1_2::OperandType::TENSOR_FLOAT32, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::FLOAT32, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_FLOAT16, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::FLOAT16, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_ASYMM, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT16_SYMM, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_INT32, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::INT32, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL, defaultValue, defaultValue); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT8_SYMM, defaultValue, defaultValue); // Unsupported operands take FLT_MAX value CheckOperandType(capabilities, V1_2::OperandType::UINT32, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::BOOL, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_QUANT16_ASYMM, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_BOOL8, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::OEM, FLT_MAX, FLT_MAX); CheckOperandType(capabilities, V1_2::OperandType::TENSOR_OEM_BYTE, FLT_MAX, FLT_MAX); BOOST_ASSERT(error == V1_0::ErrorStatus::NONE); }; armnn::IRuntime::CreationOptions options; armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); ArmnnDriverImpl::getCapabilities_1_2(runtime, getCapabilitiesFn); } BOOST_AUTO_TEST_SUITE_END()