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Searched refs:ANEURALNETWORKS_TENSOR_FLOAT32 (Results 1 – 14 of 14) sorted by relevance

/packages/modules/NeuralNetworks/runtime/test/
DTestValidateOperations.cpp44 ANEURALNETWORKS_TENSOR_FLOAT32,
449 operandTypesToSkip.insert(ANEURALNETWORKS_TENSOR_FLOAT32); in testMutatingInputOperandCode()
458 operandTypesToSkip.insert(ANEURALNETWORKS_TENSOR_FLOAT32); in testMutatingInputOperandCode()
459 } else if (originalOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32) { in testMutatingInputOperandCode()
498 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32)) { in testMutatingInputOperandCode()
506 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32 || in testMutatingInputOperandCode()
557 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32)) { in testMutatingOutputOperandCode()
572 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32 || in testMutatingOutputOperandCode()
1060 argMinMaxTest(ANEURALNETWORKS_ARGMIN, ANEURALNETWORKS_TENSOR_FLOAT32); in TEST()
1068 argMinMaxTest(ANEURALNETWORKS_ARGMAX, ANEURALNETWORKS_TENSOR_FLOAT32); in TEST()
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DTestValidation.cpp85 uint32_t addTensorOperand(int32_t type = ANEURALNETWORKS_TENSOR_FLOAT32) { in addTensorOperand()
129 .type = ANEURALNETWORKS_TENSOR_FLOAT32,
135 .type = ANEURALNETWORKS_TENSOR_FLOAT32,
183 ANeuralNetworksOperandType tensorType{.type = ANEURALNETWORKS_TENSOR_FLOAT32, in SetUp()
337 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in addTensorOperand()
622 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
714 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
752 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in TEST_F()
976 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
1023 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
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DTestOperandExtraParams.cpp61 case ANEURALNETWORKS_TENSOR_FLOAT32: in createOperand()
139 ANEURALNETWORKS_TENSOR_FLOAT32,
DTestFree.cpp36 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in createUnfinishedModel()
DTestValidateModel.cpp44 operand_2.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
52 operand_3.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
60 operand_4.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
84 operand_7.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2414 operand_302.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2430 operand_304.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2438 operand_305.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2462 operand_308.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2470 operand_309.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
3066 input_operand_0.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
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DTestPartitioning.cpp732 case ANEURALNETWORKS_TENSOR_FLOAT32: in addOperand()
/packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/
DFibonacciDriver.cpp74 inputType == ANEURALNETWORKS_TENSOR_FLOAT32); in validate()
76 outputType == ANEURALNETWORKS_TENSOR_FLOAT32); in validate()
DFibonacciExtensionTest.cpp132 ASSERT_EQ(inputType.operandType.type, ANEURALNETWORKS_TENSOR_FLOAT32); in addNopOperation()
/packages/modules/NeuralNetworks/runtime/include/
DNeuralNetworksTypes.h80 ANEURALNETWORKS_TENSOR_FLOAT32 = 3, enumerator
DNeuralNetworksWrapper.h45 TENSOR_FLOAT32 = ANEURALNETWORKS_TENSOR_FLOAT32,
/packages/modules/NeuralNetworks/common/
DUtilsTest.cpp126 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in TEST()
/packages/modules/NeuralNetworks/runtime/
DNeuralNetworksV2.cpp63 static_assert(ANEURALNETWORKS_TENSOR_FLOAT32 == 3, "ANEURALNETWORKS_TENSOR_FLOAT32 has changed");
281 static_assert(static_cast<int32_t>(OperandType::TENSOR_FLOAT32) == ANEURALNETWORKS_TENSOR_FLOAT32,
DNeuralNetworks.cpp61 static_assert(ANEURALNETWORKS_TENSOR_FLOAT32 == 3, "ANEURALNETWORKS_TENSOR_FLOAT32 has changed");
279 static_assert(static_cast<int32_t>(OperandType::TENSOR_FLOAT32) == ANEURALNETWORKS_TENSOR_FLOAT32,
/packages/modules/NeuralNetworks/tools/api/
DNeuralNetworksTypes.t351 * {@link ANEURALNETWORKS_TENSOR_FLOAT32} type must be aligned on 4-byte boundary.