Loading current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -676,7 +676,7 @@ a3eddd9bbdc87e8c22764070037dd1154f1cf006e6fba93364c4f85d4c134a19 android.hardwar 2fa3679ad7c94b5e88724adcd560c561041068a4ca565c63830e68101988746a android.hardware.neuralnetworks@1.3::IFencedExecutionCallback 237b23b126a66f3432658020fed78cdd06ba6297459436fe6bae0ba753370833 android.hardware.neuralnetworks@1.3::IPreparedModel 0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback 2fabd246f985d94a0172dacefb0d6cf19e2aeb2d5f17752653988ef39570a52d android.hardware.neuralnetworks@1.3::types 5e2a14b40dc11da9d478185838f4401b652739922d14cecea0a0ce4c1359fe21 android.hardware.neuralnetworks@1.3::types 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi c67aaf26a7a40d14ea61e70e20afacbd0bb906df1704d585ac8599fbb69dd44b android.hardware.wifi.hostapd@1.2::IHostapd 2b5a7ea572b736030c64a3b4043af244425477c4672301780fe15aba5ed393d9 android.hardware.wifi.hostapd@1.2::types Loading neuralnetworks/1.3/types.hal +26 −3 Original line number Diff line number Diff line Loading @@ -5176,8 +5176,10 @@ enum Priority : 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. * This represents performance of non-extension operations. * * Performance of an operation other than {@link OperationType::IF} and * {@link OperationType::WHILE} comes from the type of its first operand. */ struct Capabilities { /** Loading @@ -5200,11 +5202,32 @@ struct Capabilities { /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * * If a particular {@link OperandType} is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. * * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver * must not report operand performance for {@link OperandType::SUBGRAPH}. */ vec<OperandPerformance> operandPerformance; /** * Performance of an {@link OperationType::IF} operation is the sum of * {@link Capabilities::ifPerformance} and the mean of performance for the * two branch subgraphs, where performance for a subgraph is the sum of the * performance of all operations within the subgraph. */ PerformanceInfo ifPerformance; /** * Performance of a {@link OperationType::WHILE} operation is the sum of * {@link Capabilities::whilePerformance}, performance for the condition * subgraph and performance for the body subgraph, where performance for a * subgraph is the sum of the performance of all operations within the * subgraph. */ PerformanceInfo whilePerformance; }; /** Loading neuralnetworks/1.3/types.t +26 −3 Original line number Diff line number Diff line Loading @@ -103,8 +103,10 @@ enum Priority : 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. * This represents performance of non-extension operations. * * Performance of an operation other than {@link OperationType::IF} and * {@link OperationType::WHILE} comes from the type of its first operand. */ struct Capabilities { /** Loading @@ -127,11 +129,32 @@ struct Capabilities { /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * * If a particular {@link OperandType} is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. * * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver * must not report operand performance for {@link OperandType::SUBGRAPH}. */ vec<OperandPerformance> operandPerformance; /** * Performance of an {@link OperationType::IF} operation is the sum of * {@link Capabilities::ifPerformance} and the mean of performance for the * two branch subgraphs, where performance for a subgraph is the sum of the * performance of all operations within the subgraph. */ PerformanceInfo ifPerformance; /** * Performance of a {@link OperationType::WHILE} operation is the sum of * {@link Capabilities::whilePerformance}, performance for the condition * subgraph and performance for the body subgraph, where performance for a * subgraph is the sum of the performance of all operations within the * subgraph. */ PerformanceInfo whilePerformance; }; /** Loading neuralnetworks/1.3/vts/functional/BasicTests.cpp +5 −0 Original line number Diff line number Diff line Loading @@ -57,6 +57,11 @@ TEST_P(NeuralnetworksHidlTest, GetCapabilitiesTest) { [](const OperandPerformance& a, const OperandPerformance& b) { return a.type < b.type; })); EXPECT_TRUE(std::all_of(opPerf.begin(), opPerf.end(), [](const OperandPerformance& a) { return a.type != OperandType::SUBGRAPH; })); EXPECT_TRUE(isPositive(capabilities.ifPerformance)); EXPECT_TRUE(isPositive(capabilities.whilePerformance)); }); EXPECT_TRUE(ret.isOk()); } Loading Loading
current.txt +1 −1 Original line number Diff line number Diff line Loading @@ -676,7 +676,7 @@ a3eddd9bbdc87e8c22764070037dd1154f1cf006e6fba93364c4f85d4c134a19 android.hardwar 2fa3679ad7c94b5e88724adcd560c561041068a4ca565c63830e68101988746a android.hardware.neuralnetworks@1.3::IFencedExecutionCallback 237b23b126a66f3432658020fed78cdd06ba6297459436fe6bae0ba753370833 android.hardware.neuralnetworks@1.3::IPreparedModel 0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback 2fabd246f985d94a0172dacefb0d6cf19e2aeb2d5f17752653988ef39570a52d android.hardware.neuralnetworks@1.3::types 5e2a14b40dc11da9d478185838f4401b652739922d14cecea0a0ce4c1359fe21 android.hardware.neuralnetworks@1.3::types 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi c67aaf26a7a40d14ea61e70e20afacbd0bb906df1704d585ac8599fbb69dd44b android.hardware.wifi.hostapd@1.2::IHostapd 2b5a7ea572b736030c64a3b4043af244425477c4672301780fe15aba5ed393d9 android.hardware.wifi.hostapd@1.2::types Loading
neuralnetworks/1.3/types.hal +26 −3 Original line number Diff line number Diff line Loading @@ -5176,8 +5176,10 @@ enum Priority : 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. * This represents performance of non-extension operations. * * Performance of an operation other than {@link OperationType::IF} and * {@link OperationType::WHILE} comes from the type of its first operand. */ struct Capabilities { /** Loading @@ -5200,11 +5202,32 @@ struct Capabilities { /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * * If a particular {@link OperandType} is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. * * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver * must not report operand performance for {@link OperandType::SUBGRAPH}. */ vec<OperandPerformance> operandPerformance; /** * Performance of an {@link OperationType::IF} operation is the sum of * {@link Capabilities::ifPerformance} and the mean of performance for the * two branch subgraphs, where performance for a subgraph is the sum of the * performance of all operations within the subgraph. */ PerformanceInfo ifPerformance; /** * Performance of a {@link OperationType::WHILE} operation is the sum of * {@link Capabilities::whilePerformance}, performance for the condition * subgraph and performance for the body subgraph, where performance for a * subgraph is the sum of the performance of all operations within the * subgraph. */ PerformanceInfo whilePerformance; }; /** Loading
neuralnetworks/1.3/types.t +26 −3 Original line number Diff line number Diff line Loading @@ -103,8 +103,10 @@ enum Priority : 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. * This represents performance of non-extension operations. * * Performance of an operation other than {@link OperationType::IF} and * {@link OperationType::WHILE} comes from the type of its first operand. */ struct Capabilities { /** Loading @@ -127,11 +129,32 @@ struct Capabilities { /** * Performance by operand type. Must be sorted by OperandType. * If a particular OperandType is not present in operandPerformance, * * If a particular {@link OperandType} is not present in operandPerformance, * its performance is treated as * { .execTime = FLT_MAX, .powerUsage = FLT_MAX }. * * Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver * must not report operand performance for {@link OperandType::SUBGRAPH}. */ vec<OperandPerformance> operandPerformance; /** * Performance of an {@link OperationType::IF} operation is the sum of * {@link Capabilities::ifPerformance} and the mean of performance for the * two branch subgraphs, where performance for a subgraph is the sum of the * performance of all operations within the subgraph. */ PerformanceInfo ifPerformance; /** * Performance of a {@link OperationType::WHILE} operation is the sum of * {@link Capabilities::whilePerformance}, performance for the condition * subgraph and performance for the body subgraph, where performance for a * subgraph is the sum of the performance of all operations within the * subgraph. */ PerformanceInfo whilePerformance; }; /** Loading
neuralnetworks/1.3/vts/functional/BasicTests.cpp +5 −0 Original line number Diff line number Diff line Loading @@ -57,6 +57,11 @@ TEST_P(NeuralnetworksHidlTest, GetCapabilitiesTest) { [](const OperandPerformance& a, const OperandPerformance& b) { return a.type < b.type; })); EXPECT_TRUE(std::all_of(opPerf.begin(), opPerf.end(), [](const OperandPerformance& a) { return a.type != OperandType::SUBGRAPH; })); EXPECT_TRUE(isPositive(capabilities.ifPerformance)); EXPECT_TRUE(isPositive(capabilities.whilePerformance)); }); EXPECT_TRUE(ret.isOk()); } Loading