| /frameworks/ml/nn/runtime/include/ |
| D | NeuralNetworksWrapperExtensions.h | 50 ANeuralNetworksOperandType operandType; member
55 : operandType(other.operandType), in OperandType()
58 operandType.dimensions = dimensions.size() > 0 ? dimensions.data() : nullptr; in OperandType()
63 operandType = other.operandType;
66 operandType.dimensions = dimensions.size() > 0 ? dimensions.data() : nullptr;
74 operandType = { in dimensions()
116 if (ANeuralNetworksModel_addOperand(mModel, &(type->operandType)) != in addOperand()
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| D | NeuralNetworksWrapper.h | 111 ANeuralNetworksOperandType operandType; member
116 : operandType(other.operandType), in OperandType()
119 operandType.dimensions = dimensions.size() > 0 ? dimensions.data() : nullptr; in OperandType()
124 operandType = other.operandType;
127 operandType.dimensions = dimensions.size() > 0 ? dimensions.data() : nullptr;
134 operandType = { in dimensions()
147 operandType = { in OperandType()
244 if (ANeuralNetworksModel_addOperand(mModel, &(type->operandType)) != in addOperand()
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| /frameworks/ml/nn/runtime/test/ |
| D | TestOperandExtraParams.cpp | 118 ANeuralNetworksOperandType operandType = createOperand(dataType); in testAddingWithSymmPerChannelQuantParams() local
119 EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &operandType), ANEURALNETWORKS_NO_ERROR); in testAddingWithSymmPerChannelQuantParams()
239 ANeuralNetworksOperandType operandType = createOperand(dataType); in TEST_F() local
240 operandType.scale = 1.0f; in TEST_F()
241 EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &operandType), ANEURALNETWORKS_BAD_DATA); in TEST_F()
247 ANeuralNetworksOperandType operandType = createOperand(dataType); in TEST_F() local
248 operandType.zeroPoint = 1; in TEST_F()
249 EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &operandType), ANEURALNETWORKS_BAD_DATA); in TEST_F()
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| D | TestValidateOperations.cpp | 74 OperandTypeWithExtraParams(const ANeuralNetworksOperandType& operandType) in OperandTypeWithExtraParams()
75 : operandType(operandType), channelQuant(std::nullopt), valueModel(std::nullopt) {} in OperandTypeWithExtraParams()
77 ANeuralNetworksOperandType operandType; member
82 if (operandType.type != that.operandType.type || in operator ==()
83 operandType.scale != that.operandType.scale || in operator ==()
84 operandType.zeroPoint != that.operandType.zeroPoint || in operator ==()
85 operandType.dimensionCount != that.operandType.dimensionCount) { in operator ==()
100 if (operandType.dimensions) { in operator ==()
101 if (!that.operandType.dimensions) { in operator ==()
104 if (!std::equal(operandType.dimensions, in operator ==()
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| D | TestUnknownDimensions.cpp | 258 return &matrixTypeBothOther.operandType; in TestOne()
261 return &matrixTypeFirstOther.operandType; in TestOne()
264 return &matrixTypeSecondOther.operandType; in TestOne()
267 return &matrixTypeIntended.operandType; in TestOne()
272 return &matrixTypeIntended.operandType; in TestOne()
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| D | TestPartitioning.cpp | 1977 auto TestType = [](OperandType operandType) { in TEST_F() argument
1978 if (operandType == OperandType::SUBGRAPH) { in TEST_F()
1982 SCOPED_TRACE(toString(operandType)); in TEST_F()
1987 uint32_t opndIn = model.addOperand(static_cast<WrapperType>(operandType)); in TEST_F()
1998 update(&goodCapabilities, operandType, 0.25); in TEST_F()
2018 update(&badCapabilities, operandType, 0.75); in TEST_F()
2528 OperandType operandType = static_cast<OperandType>(type); in TEST_F() local
2529 update(&capabilities, operandType, typePerf(operandType)); in TEST_F()
2533 OperandType operandType = static_cast<OperandType>(type); in TEST_F() local
2534 update(&capabilities, operandType, typePerf(operandType)); in TEST_F()
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| D | TestValidation.cpp | 62 ANeuralNetworksOperandType operandType = { in addScalarOperand() local
64 EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &operandType), ANEURALNETWORKS_NO_ERROR); in addScalarOperand()
68 uint32_t addOperand(const ANeuralNetworksOperandType& operandType) { in addOperand() argument
69 EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &operandType), ANEURALNETWORKS_NO_ERROR); in addOperand()
78 ANeuralNetworksOperandType operandType = { in addTensorOperand() local
83 return addOperand(operandType); in addTensorOperand()
311 ANeuralNetworksOperandType operandType = { in addScalarOperand() local
313 EXPECT_EQ(ANeuralNetworksModel_addOperand(model, &operandType), ANEURALNETWORKS_NO_ERROR); in addScalarOperand()
318 ANeuralNetworksOperandType operandType = { in addTensorOperand() local
323 EXPECT_EQ(ANeuralNetworksModel_addOperand(model, &operandType), ANEURALNETWORKS_NO_ERROR); in addTensorOperand()
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| D | TestNeuralNetworksWrapper.h | 146 if (ANeuralNetworksModel_addOperand(mModel, &(type->operandType)) != in addOperand()
171 OperandType operandType(Type::MODEL, {}); in addModelOperand()
172 uint32_t operand = addOperand(&operandType); in addModelOperand()
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| D | TestUnspecifiedDimensions.cpp | 257 (kLevel == SpecificationLevel::UNSPECIFIED_TYPE) ? nullptr : &type.operandType; in setInOut()
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| D | TestPartitioningRandom.cpp | 1320 desc.mVector.size() * sizeof(float), &problemType.operandType); in TEST_P()
1337 &problemType.operandType); in TEST_P()
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| /frameworks/ml/nn/common/operations/ |
| D | Cast.cpp | 49 #define ANDROID_NN_COPY_CAST(operandType, dataType) \ in copyToTensor() argument
50 case operandType: { \ in copyToTensor()
80 #define ANDROID_NN_COPY_TO_TENSOR(operandType, dataType) \ in eval() argument
81 case operandType: { \ in eval()
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| D | ArgMinMax.cpp | 60 #define NNAPI_IMPL_ARG_MIN_MAX(operandType, dataType) \ in argMinMaxGeneric() argument
61 if (inputShape.type == operandType) { \ in argMinMaxGeneric()
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| D | Tile.cpp | 95 #define ANDROID_NN_IMPL_TILE(operandType, dataType) \ in eval() argument
96 case operandType: { \ in eval()
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| /frameworks/ml/nn/runtime/test/android_fuzzing/ |
| D | FuzzHarness.cpp | 39 const auto operandType = static_cast<OperandType>(operand.type); in operandOverflows() local
40 return nonExtensionOperandSizeOfDataOverflowsUInt32(operandType, operand.dimensions); in operandOverflows()
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| /frameworks/ml/nn/runtime/ |
| D | TypeManager.cpp | 251 uint32_t operandType = static_cast<uint32_t>(type); in getExtensionOperandTypeInfo() local
252 uint16_t prefix = operandType >> kLowBitsType; in getExtensionOperandTypeInfo()
253 uint16_t typeWithinExtension = operandType & ((1 << kLowBitsType) - 1); in getExtensionOperandTypeInfo()
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| D | ModelBuilder.cpp | 68 OperandType operandType = static_cast<OperandType>(type.type); in addOperand() local
69 if (isExtensionOperandType(operandType) && !TypeManager::get()->areExtensionsAllowed()) { in addOperand()
74 operandType == OperandType::OEM || operandType == OperandType::TENSOR_OEM_BYTE; in addOperand()
80 if (isExtensionOperandType(operandType) && in addOperand()
81 !TypeManager::get()->getExtensionOperandTypeInfo(operandType, &info)) { in addOperand()
82 LOG(ERROR) << "Extension operand type " << toString(operandType) << " is not registered"; in addOperand()
93 .type = operandType, in addOperand()
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| D | ExecutionBuilder.cpp | 905 const OperandType operandType = mModel->getOutputOperand(i).type; in updateOutputShapes() local
906 NN_RET_CHECK(!TypeManager::get()->sizeOfDataOverflowsUInt32(operandType, in updateOutputShapes()
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| D | ExecutionPlan.cpp | 1900 const OperandType operandType = mOperands[operandIndex].type; in getPerformance() local
1901 switch (operandType) { in getPerformance()
1916 return applyPreference(device->getPerformance(operandType)); in getPerformance()
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| /frameworks/ml/nn/common/ |
| D | ValidateHal.cpp | 943 bool validOperandType(V1_0::OperandType operandType) { in validOperandType() argument
944 switch (operandType) { in validOperandType()
959 bool validOperandType(V1_2::OperandType operandType) { in validOperandType() argument
960 switch (operandType) { in validOperandType()
979 return isExtensionOperandType(static_cast<V1_3::OperandType>(operandType)); in validOperandType()
983 bool validOperandType(V1_3::OperandType operandType) { in validOperandType() argument
984 switch (operandType) { in validOperandType()
1005 return isExtensionOperandType(operandType); in validOperandType()
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| D | Utils.cpp | 2780 static bool compliantWithV1_0(const V1_2::OperandType& operandType) { in compliantWithV1_0() argument
2781 return validOperandType(static_cast<V1_0::OperandType>(operandType)); in compliantWithV1_0()
2784 static bool compliantWithV1_0(const V1_3::OperandType& operandType) { in compliantWithV1_0() argument
2785 return validOperandType(static_cast<V1_0::OperandType>(operandType)); in compliantWithV1_0()
2788 static bool compliantWithV1_2(const V1_3::OperandType& operandType) { in compliantWithV1_2() argument
2789 return validOperandType(static_cast<V1_2::OperandType>(operandType)); in compliantWithV1_2()
2792 V1_0::OperandType convertToV1_0(const V1_2::OperandType& operandType) { in convertToV1_0() argument
2793 if (!compliantWithV1_0(operandType)) { in convertToV1_0()
2794 LOG(ERROR) << "Upcasting non-compliant operand type " << toString(operandType) in convertToV1_0()
2797 return static_cast<V1_0::OperandType>(operandType); in convertToV1_0()
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| /frameworks/ml/nn/extensions/ |
| D | README.md | 123 ANeuralNetworksOperandType operandType{
128 CHECK_EQ(ANeuralNetworksModel_addOperand(model, &operandType), ANEURALNETWORKS_NO_ERROR);
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| /frameworks/ml/nn/runtime/test/fibonacci_extension/ |
| D | FibonacciExtensionTest.cpp | 132 ASSERT_EQ(inputType.operandType.type, ANEURALNETWORKS_TENSOR_FLOAT32); in addNopOperation()
|