Lines Matching refs:opnd0
1589 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
1591 uint32_t opnd2 = model.addOperation2To1V1_0(0, opnd0, opnd1); in TEST_F()
1594 model.identifyInputsAndOutputs({opnd0, opnd1, opnd3}, {opnd4}); in TEST_F()
1648 RemapVectorType{{opnd0, b0Opnd0}, {opnd1, b0Opnd1}}, // modelInputs in TEST_F()
1682 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
1684 uint32_t opnd2 = model.addOperation2To1V1_0(0, opnd0, opnd1); in TEST_F()
1685 uint32_t opnd3 = model.addOperation2To1V1_0(1, opnd0, opnd1); in TEST_F()
1686 uint32_t opnd4 = model.addOperation2To1V1_1(0, opnd0, opnd1); in TEST_F()
1689 model.identifyInputsAndOutputs({opnd0, opnd1}, {opnd2, opnd4, opnd5, opnd6}); in TEST_F()
1735 RemapVectorType{{opnd0, b0Opnd0}, {opnd1, b0Opnd1}}, // modelInputs in TEST_F()
1757 RemapVectorType{{opnd0, b1Opnd0}, {opnd1, b1Opnd1}}, // modelInputs in TEST_F()
1817 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
1818 uint32_t opnd1 = model.addOperation1To1V1_3(0, opnd0); in TEST_F()
1819 model.identifyInputsAndOutputs({opnd0}, {opnd1}); in TEST_F()
1852 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
1855 uint32_t opnd2 = model.addOperation2To1V1_0(kDevOp, opnd0, opnd1); in TEST_F()
1856 uint32_t opnd3 = model.addOperation2To1V1_0(kDevOp, opnd0, opnd2); in TEST_F()
1858 uint32_t opnd4 = model.addOperation2To1V1_0(kCpuOp, opnd0, opnd3); in TEST_F()
1866 model.identifyInputsAndOutputs({opnd0, opnd1, opnd6}, {opnd4, opnd8}); in TEST_F()
1893 RemapVectorType{{opnd0, m0Opnd0}, {opnd1, m0Opnd1}}, // modelInputs in TEST_F()
1917 RemapVectorType{{opnd0, m1Opnd0}}, // modelInputs in TEST_F()
1950 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
1952 uint32_t opnd2 = model.addOperation2To1V1_0(0, opnd0, opnd1, Dimensioned::NO); in TEST_F()
1955 model.identifyInputsAndOutputs({opnd0, opnd1, opnd3}, {opnd4}); in TEST_F()
2001 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
2003 uint32_t opnd2 = model.addOperation2To1V1_0(0, opnd0, opnd1); in TEST_F()
2005 model.identifyInputsAndOutputs({opnd0, opnd1}, {opnd2, opnd3}); in TEST_F()
2033 RemapVectorType{{opnd0, m0Opnd0}, {opnd1, m0Opnd1}}, // modelInputs in TEST_F()
2108 uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
2110 uint32_t opnd2 = model.addOperation2To1V1_0(0, opnd0, opnd1); in TEST_F()
2111 model.identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in TEST_F()
2214 const uint32_t opnd0 = model.addFloatZeroOperand(); in TEST_F() local
2215 const uint32_t opnd1 = model.addOperation1To1V1_3(0, opnd0); in TEST_F()
2233 const uint32_t opnd0 = model.addFloatOperand(); in TEST_F() local
2234 const uint32_t opnd1 = model.addOperation1To1V1_3(0, opnd0); in TEST_F()
2237 model.identifyInputsAndOutputs({opnd0, opnd2}, {opnd1}); in TEST_F()
2322 uint32_t opnd0 = mModel->addFloatOperand(Dimensioned::YES_2); // tensor to pad in makeModelAndValidate() local
2325 ANEURALNETWORKS_PAD, {opnd0, opnd1}, WrapperType::TENSOR_FLOAT32, in makeModelAndValidate()
2328 ANEURALNETWORKS_PAD, {opnd0, opnd1}, WrapperType::TENSOR_FLOAT32, in makeModelAndValidate()
2333 mModel->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2, opnd4}); in makeModelAndValidate()
2337 mOpnds = {opnd0, opnd1, opnd2, opnd3, opnd4}; in makeModelAndValidate()
2715 uint32_t opnd0 = model->addFloatOperand(); in createModelForCachingTests() local
2717 uint32_t opnd2 = model->addOperation2To1V1_0(0, opnd0, opnd1); in createModelForCachingTests()
2720 model->identifyInputsAndOutputs({opnd0, opnd1, opnd3}, {opnd4}); in createModelForCachingTests()
2732 const uint32_t opnd0 = trueModel->addFloatOperand(); in createControlFlowModelForCachingTests() local
2734 const uint32_t opnd2 = trueModel->addOperation2To1V1_0(0, opnd0, opnd1); in createControlFlowModelForCachingTests()
2735 trueModel->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in createControlFlowModelForCachingTests()
2742 const uint32_t opnd0 = falseModel->addFloatOperand(); in createControlFlowModelForCachingTests() local
2744 const uint32_t opnd2 = falseModel->addOperation2To1V1_0(0, opnd0, opnd1); in createControlFlowModelForCachingTests()
2745 falseModel->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in createControlFlowModelForCachingTests()
2752 const uint32_t opnd0 = mainModel->addBooleanOperand(); in createControlFlowModelForCachingTests() local
2756 mainModel->addIfOperation(opnd0, *trueModel, *falseModel, {opnd1, opnd2}, {opnd3}); in createControlFlowModelForCachingTests()
2757 mainModel->identifyInputsAndOutputs({opnd0, opnd1, opnd2}, {opnd3}); in createControlFlowModelForCachingTests()
3132 const uint32_t opnd0 = model->addFloatOperand(dimensioned); in createBranchOrBodyModel() local
3134 const uint32_t opnd2 = model->addOperation2To1V1_0(0, opnd0, opnd1, dimensioned); in createBranchOrBodyModel()
3135 model->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in createBranchOrBodyModel()
3146 const uint32_t opnd0 = model->addFloatOperand(dimensioned); in createCondModel() local
3149 ANEURALNETWORKS_EQUAL, {opnd0, opnd1}, WrapperType::TENSOR_BOOL8); in createCondModel()
3150 model->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in createCondModel()
3167 const uint32_t opnd0 = mainModel->addBooleanOperand(); in createIfModel() local
3171 mainModel->addIfOperation(opnd0, *thenModel, *elseModel, {opnd1, opnd2}, {opnd3}); in createIfModel()
3172 mainModel->identifyInputsAndOutputs({opnd0, opnd1, opnd2}, {opnd3}); in createIfModel()
3194 const uint32_t opnd0 = mainModel->addFloatOperand(dimensionedMain); in createWhileModel() local
3197 mainModel->addWhileOperation(*condModel, *bodyModel, {opnd0, opnd1}, {opnd2}); in createWhileModel()
3198 mainModel->identifyInputsAndOutputs({opnd0, opnd1}, {opnd2}); in createWhileModel()
3441 const uint32_t opnd0 = mModel->addFloatOperand(); in TEST_F() local
3443 const uint32_t opnd2 = mModel->addOperation2To1V1_0(0, opnd0, opnd1); in TEST_F()
3447 mModel->identifyInputsAndOutputs({opnd0, opnd1, opnd3}, {opnd2, opnd5}); in TEST_F()