| /frameworks/ml/nn/runtime/test/ |
| D | TestMemoryInternal.cpp | 37 using WrapperOperandType = ::android::nn::test_wrapper::OperandType; typedef
118 WrapperOperandType matrixType(WrapperType::TENSOR_FLOAT32, {3, 4}); in TEST_F()
119 WrapperOperandType scalarType(WrapperType::INT32, {}); in TEST_F()
190 WrapperOperandType type3(WrapperType::INT32, {}); in TEST_F()
191 WrapperOperandType type2(WrapperType::TENSOR_INT32, {128}, 0.25, 0); in TEST_F()
192 WrapperOperandType type0(WrapperType::TENSOR_QUANT8_ASYMM, {12, 104, 104, 128}, 0.5, 0); in TEST_F()
193 WrapperOperandType type4(WrapperType::TENSOR_QUANT8_ASYMM, {12, 92, 92, 128}, 1.0, 0); in TEST_F()
194 WrapperOperandType type1(WrapperType::TENSOR_QUANT8_ASYMM, {128, 13, 13, 128}, 0.5, 0); in TEST_F()
|
| D | TestMemory.cpp | 30 using WrapperOperandType = ::android::nn::test_wrapper::OperandType; typedef
59 WrapperOperandType matrixType(WrapperType::TENSOR_FLOAT32, {3, 4}); in TEST_F()
60 WrapperOperandType scalarType(WrapperType::INT32, {}); in TEST_F()
117 WrapperOperandType matrixType(WrapperType::TENSOR_FLOAT32, {3, 4}); in TEST_F()
118 WrapperOperandType scalarType(WrapperType::INT32, {}); in TEST_F()
|
| D | TestFailingDriver.cpp | 34 using WrapperOperandType = test_wrapper::OperandType; typedef
105 WrapperOperandType floatType(WrapperType::TENSOR_FLOAT32, {2}); in TEST_F()
106 WrapperOperandType boolType(WrapperType::TENSOR_BOOL8, {1}); in TEST_F()
183 WrapperOperandType floatType(WrapperType::TENSOR_FLOAT32, {2}); in TEST_F()
|
| D | TestCompliance.cpp | 33 using WrapperOperandType = test_wrapper::OperandType; typedef
85 static const WrapperOperandType kTypeTensorFloat(WrapperType::TENSOR_FLOAT32, {1});
86 static const WrapperOperandType kTypeTensorFloatRank0(WrapperType::TENSOR_FLOAT32, {});
87 static const WrapperOperandType kTypeInt32(WrapperType::INT32, {});
|
| D | TestIntrospectionControl.cpp | 58 using WrapperOperandType = nn::test_wrapper::OperandType; typedef
202 WrapperOperandType type0(WrapperType::TENSOR_FLOAT32, {2}); in createSimpleAddModel()
203 WrapperOperandType type1(WrapperType::INT32, {}); in createSimpleAddModel()
1117 WrapperOperandType type0(WrapperType::TENSOR_FLOAT32, {2}); in createAddMaxModel()
1118 WrapperOperandType type1(WrapperType::INT32, {}); in createAddMaxModel()
1180 WrapperOperandType type0(WrapperType::TENSOR_FLOAT32, {2}); in createAddMulModel()
1181 WrapperOperandType type1(WrapperType::INT32, {}); in createAddMulModel()
|
| D | TestPartitioningRandom.cpp | 106 using WrapperOperandType = nn::test_wrapper::OperandType; typedef
388 const WrapperOperandType alphaType(WrapperType::FLOAT32, {}); in makeEluSpecialInput()
401 const WrapperOperandType biasType(WrapperType::TENSOR_FLOAT32, {problemSize}); in makeRnnSpecialInput()
419 const WrapperOperandType permType(WrapperType::TENSOR_INT32, {2}); in makeTransposeSpecialInput()
753 const WrapperOperandType problemType(WrapperType::TENSOR_FLOAT32, {problemSize, problemSize}); in TEST_P()
754 const WrapperOperandType unknownDimensionsType(WrapperType::TENSOR_FLOAT32, {0, 0}); in TEST_P()
756 static const WrapperOperandType activationFunctionType(WrapperType::INT32, {}); in TEST_P()
|
| D | TestPartitioning.cpp | 164 using WrapperOperandType = ::android::nn::test_wrapper::OperandType; typedef
677 return addOperand(WrapperOperandType{wrapperType, {}}); in addOperand()
683 return addOperand(WrapperOperandType{wrapperType, dimensions()}); in addOperand()
691 return addOperand(WrapperOperandType{wrapperType, dimensions(), 1.0f}); in addOperand()
694 return addOperand(WrapperOperandType{wrapperType, dimensions(), in addOperand()
705 uint32_t addOperand(const WrapperOperandType& wrapperOperandType) { in addOperand()
866 WrapperOperandType type = mWrapperOperandType.at(operand); in addOperandOfSameType()
875 std::vector<WrapperOperandType> mWrapperOperandType;
|
| D | TestRemoveDefaultArguments.cpp | 104 using WrapperOperandType = test_wrapper::OperandType; typedef
|
| D | TestExecution.cpp | 55 using WrapperOperandType = nn::test_wrapper::OperandType; typedef
681 static const WrapperOperandType tensorType(WrapperType::TENSOR_FLOAT32, {1}); in makeModel()
|