1 // clang-format off 2 // Generated file (from: split_float_4.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {2, 2, 2}); 5 OperandType type1(Type::INT32, {}); 6 OperandType type2(Type::TENSOR_FLOAT32, {2, 1, 2}); 7 // Phase 1, operands 8 auto input0 = model->addOperand(&type0); 9 auto axis = model->addOperand(&type1); 10 auto num_splits = model->addOperand(&type1); 11 auto output0 = model->addOperand(&type2); 12 auto output1 = model->addOperand(&type2); 13 // Phase 2, operations 14 static int32_t axis_init[] = {1}; 15 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 16 static int32_t num_splits_init[] = {2}; 17 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 18 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 19 // Phase 3, inputs and outputs 20 model->identifyInputsAndOutputs( 21 {input0}, 22 {output0, output1}); 23 assert(model->isValid()); 24 } 25 26 inline bool is_ignored(int i) { 27 static std::set<int> ignore = {}; 28 return ignore.find(i) != ignore.end(); 29 } 30 31 void CreateModel_relaxed(Model *model) { 32 OperandType type0(Type::TENSOR_FLOAT32, {2, 2, 2}); 33 OperandType type1(Type::INT32, {}); 34 OperandType type2(Type::TENSOR_FLOAT32, {2, 1, 2}); 35 // Phase 1, operands 36 auto input0 = model->addOperand(&type0); 37 auto axis = model->addOperand(&type1); 38 auto num_splits = model->addOperand(&type1); 39 auto output0 = model->addOperand(&type2); 40 auto output1 = model->addOperand(&type2); 41 // Phase 2, operations 42 static int32_t axis_init[] = {1}; 43 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 44 static int32_t num_splits_init[] = {2}; 45 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 46 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 47 // Phase 3, inputs and outputs 48 model->identifyInputsAndOutputs( 49 {input0}, 50 {output0, output1}); 51 // Phase 4: set relaxed execution 52 model->relaxComputationFloat32toFloat16(true); 53 assert(model->isValid()); 54 } 55 56 inline bool is_ignored_relaxed(int i) { 57 static std::set<int> ignore = {}; 58 return ignore.find(i) != ignore.end(); 59 } 60 61 void CreateModel_float16(Model *model) { 62 OperandType type1(Type::INT32, {}); 63 OperandType type3(Type::TENSOR_FLOAT16, {2, 2, 2}); 64 OperandType type4(Type::TENSOR_FLOAT16, {2, 1, 2}); 65 // Phase 1, operands 66 auto input0 = model->addOperand(&type3); 67 auto axis = model->addOperand(&type1); 68 auto num_splits = model->addOperand(&type1); 69 auto output0 = model->addOperand(&type4); 70 auto output1 = model->addOperand(&type4); 71 // Phase 2, operations 72 static int32_t axis_init[] = {1}; 73 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 74 static int32_t num_splits_init[] = {2}; 75 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 76 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 77 // Phase 3, inputs and outputs 78 model->identifyInputsAndOutputs( 79 {input0}, 80 {output0, output1}); 81 assert(model->isValid()); 82 } 83 84 inline bool is_ignored_float16(int i) { 85 static std::set<int> ignore = {}; 86 return ignore.find(i) != ignore.end(); 87 } 88 89 void CreateModel_dynamic_output_shape(Model *model) { 90 OperandType type0(Type::TENSOR_FLOAT32, {2, 2, 2}); 91 OperandType type1(Type::INT32, {}); 92 OperandType type5(Type::TENSOR_FLOAT32, {0, 0, 0}); 93 // Phase 1, operands 94 auto input0 = model->addOperand(&type0); 95 auto axis = model->addOperand(&type1); 96 auto num_splits = model->addOperand(&type1); 97 auto output0 = model->addOperand(&type5); 98 auto output1 = model->addOperand(&type5); 99 // Phase 2, operations 100 static int32_t axis_init[] = {1}; 101 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 102 static int32_t num_splits_init[] = {2}; 103 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 104 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 105 // Phase 3, inputs and outputs 106 model->identifyInputsAndOutputs( 107 {input0}, 108 {output0, output1}); 109 assert(model->isValid()); 110 } 111 112 inline bool is_ignored_dynamic_output_shape(int i) { 113 static std::set<int> ignore = {}; 114 return ignore.find(i) != ignore.end(); 115 } 116 117 void CreateModel_dynamic_output_shape_relaxed(Model *model) { 118 OperandType type0(Type::TENSOR_FLOAT32, {2, 2, 2}); 119 OperandType type1(Type::INT32, {}); 120 OperandType type5(Type::TENSOR_FLOAT32, {0, 0, 0}); 121 // Phase 1, operands 122 auto input0 = model->addOperand(&type0); 123 auto axis = model->addOperand(&type1); 124 auto num_splits = model->addOperand(&type1); 125 auto output0 = model->addOperand(&type5); 126 auto output1 = model->addOperand(&type5); 127 // Phase 2, operations 128 static int32_t axis_init[] = {1}; 129 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 130 static int32_t num_splits_init[] = {2}; 131 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 132 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 133 // Phase 3, inputs and outputs 134 model->identifyInputsAndOutputs( 135 {input0}, 136 {output0, output1}); 137 // Phase 4: set relaxed execution 138 model->relaxComputationFloat32toFloat16(true); 139 assert(model->isValid()); 140 } 141 142 inline bool is_ignored_dynamic_output_shape_relaxed(int i) { 143 static std::set<int> ignore = {}; 144 return ignore.find(i) != ignore.end(); 145 } 146 147 void CreateModel_dynamic_output_shape_float16(Model *model) { 148 OperandType type1(Type::INT32, {}); 149 OperandType type3(Type::TENSOR_FLOAT16, {2, 2, 2}); 150 OperandType type6(Type::TENSOR_FLOAT16, {0, 0, 0}); 151 // Phase 1, operands 152 auto input0 = model->addOperand(&type3); 153 auto axis = model->addOperand(&type1); 154 auto num_splits = model->addOperand(&type1); 155 auto output0 = model->addOperand(&type6); 156 auto output1 = model->addOperand(&type6); 157 // Phase 2, operations 158 static int32_t axis_init[] = {1}; 159 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 160 static int32_t num_splits_init[] = {2}; 161 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 162 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); 163 // Phase 3, inputs and outputs 164 model->identifyInputsAndOutputs( 165 {input0}, 166 {output0, output1}); 167 assert(model->isValid()); 168 } 169 170 inline bool is_ignored_dynamic_output_shape_float16(int i) { 171 static std::set<int> ignore = {}; 172 return ignore.find(i) != ignore.end(); 173 } 174 175
