1 // clang-format off 2 // Generated file (from: abs.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5}); 5 // Phase 1, operands 6 auto input0 = model->addOperand(&type0); 7 auto output0 = model->addOperand(&type0); 8 // Phase 2, operations 9 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 10 // Phase 3, inputs and outputs 11 model->identifyInputsAndOutputs( 12 {input0}, 13 {output0}); 14 assert(model->isValid()); 15 } 16 17 inline bool is_ignored(int i) { 18 static std::set<int> ignore = {}; 19 return ignore.find(i) != ignore.end(); 20 } 21 22 void CreateModel_relaxed(Model *model) { 23 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5}); 24 // Phase 1, operands 25 auto input0 = model->addOperand(&type0); 26 auto output0 = model->addOperand(&type0); 27 // Phase 2, operations 28 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 29 // Phase 3, inputs and outputs 30 model->identifyInputsAndOutputs( 31 {input0}, 32 {output0}); 33 // Phase 4: set relaxed execution 34 model->relaxComputationFloat32toFloat16(true); 35 assert(model->isValid()); 36 } 37 38 inline bool is_ignored_relaxed(int i) { 39 static std::set<int> ignore = {}; 40 return ignore.find(i) != ignore.end(); 41 } 42 43 void CreateModel_float16(Model *model) { 44 OperandType type1(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5}); 45 // Phase 1, operands 46 auto input0 = model->addOperand(&type1); 47 auto output0 = model->addOperand(&type1); 48 // Phase 2, operations 49 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 50 // Phase 3, inputs and outputs 51 model->identifyInputsAndOutputs( 52 {input0}, 53 {output0}); 54 assert(model->isValid()); 55 } 56 57 inline bool is_ignored_float16(int i) { 58 static std::set<int> ignore = {}; 59 return ignore.find(i) != ignore.end(); 60 } 61 62 void CreateModel_dynamic_output_shape(Model *model) { 63 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5}); 64 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0}); 65 // Phase 1, operands 66 auto input0 = model->addOperand(&type0); 67 auto output0 = model->addOperand(&type2); 68 // Phase 2, operations 69 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 70 // Phase 3, inputs and outputs 71 model->identifyInputsAndOutputs( 72 {input0}, 73 {output0}); 74 assert(model->isValid()); 75 } 76 77 inline bool is_ignored_dynamic_output_shape(int i) { 78 static std::set<int> ignore = {}; 79 return ignore.find(i) != ignore.end(); 80 } 81 82 void CreateModel_dynamic_output_shape_relaxed(Model *model) { 83 OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5}); 84 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0}); 85 // Phase 1, operands 86 auto input0 = model->addOperand(&type0); 87 auto output0 = model->addOperand(&type2); 88 // Phase 2, operations 89 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 90 // Phase 3, inputs and outputs 91 model->identifyInputsAndOutputs( 92 {input0}, 93 {output0}); 94 // Phase 4: set relaxed execution 95 model->relaxComputationFloat32toFloat16(true); 96 assert(model->isValid()); 97 } 98 99 inline bool is_ignored_dynamic_output_shape_relaxed(int i) { 100 static std::set<int> ignore = {}; 101 return ignore.find(i) != ignore.end(); 102 } 103 104 void CreateModel_dynamic_output_shape_float16(Model *model) { 105 OperandType type1(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5}); 106 OperandType type3(Type::TENSOR_FLOAT16, {0, 0, 0, 0, 0}); 107 // Phase 1, operands 108 auto input0 = model->addOperand(&type1); 109 auto output0 = model->addOperand(&type3); 110 // Phase 2, operations 111 model->addOperation(ANEURALNETWORKS_ABS, {input0}, {output0}); 112 // Phase 3, inputs and outputs 113 model->identifyInputsAndOutputs( 114 {input0}, 115 {output0}); 116 assert(model->isValid()); 117 } 118 119 inline bool is_ignored_dynamic_output_shape_float16(int i) { 120 static std::set<int> ignore = {}; 121 return ignore.find(i) != ignore.end(); 122 } 123 124
