1 // clang-format off 2 // Generated file (from: split_float_1.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_FLOAT32, {6}); 5 OperandType type1(Type::INT32, {}); 6 OperandType type2(Type::TENSOR_FLOAT32, {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 auto output2 = model->addOperand(&type2); 14 // Phase 2, operations 15 static int32_t axis_init[] = {0}; 16 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 17 static int32_t num_splits_init[] = {3}; 18 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 19 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 20 // Phase 3, inputs and outputs 21 model->identifyInputsAndOutputs( 22 {input0}, 23 {output0, output1, output2}); 24 assert(model->isValid()); 25 } 26 27 inline bool is_ignored(int i) { 28 static std::set<int> ignore = {}; 29 return ignore.find(i) != ignore.end(); 30 } 31 32 void CreateModel_relaxed(Model *model) { 33 OperandType type0(Type::TENSOR_FLOAT32, {6}); 34 OperandType type1(Type::INT32, {}); 35 OperandType type2(Type::TENSOR_FLOAT32, {2}); 36 // Phase 1, operands 37 auto input0 = model->addOperand(&type0); 38 auto axis = model->addOperand(&type1); 39 auto num_splits = model->addOperand(&type1); 40 auto output0 = model->addOperand(&type2); 41 auto output1 = model->addOperand(&type2); 42 auto output2 = model->addOperand(&type2); 43 // Phase 2, operations 44 static int32_t axis_init[] = {0}; 45 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 46 static int32_t num_splits_init[] = {3}; 47 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 48 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 49 // Phase 3, inputs and outputs 50 model->identifyInputsAndOutputs( 51 {input0}, 52 {output0, output1, output2}); 53 // Phase 4: set relaxed execution 54 model->relaxComputationFloat32toFloat16(true); 55 assert(model->isValid()); 56 } 57 58 inline bool is_ignored_relaxed(int i) { 59 static std::set<int> ignore = {}; 60 return ignore.find(i) != ignore.end(); 61 } 62 63 void CreateModel_float16(Model *model) { 64 OperandType type1(Type::INT32, {}); 65 OperandType type3(Type::TENSOR_FLOAT16, {6}); 66 OperandType type4(Type::TENSOR_FLOAT16, {2}); 67 // Phase 1, operands 68 auto input0 = model->addOperand(&type3); 69 auto axis = model->addOperand(&type1); 70 auto num_splits = model->addOperand(&type1); 71 auto output0 = model->addOperand(&type4); 72 auto output1 = model->addOperand(&type4); 73 auto output2 = model->addOperand(&type4); 74 // Phase 2, operations 75 static int32_t axis_init[] = {0}; 76 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 77 static int32_t num_splits_init[] = {3}; 78 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 79 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 80 // Phase 3, inputs and outputs 81 model->identifyInputsAndOutputs( 82 {input0}, 83 {output0, output1, output2}); 84 assert(model->isValid()); 85 } 86 87 inline bool is_ignored_float16(int i) { 88 static std::set<int> ignore = {}; 89 return ignore.find(i) != ignore.end(); 90 } 91 92 void CreateModel_dynamic_output_shape(Model *model) { 93 OperandType type0(Type::TENSOR_FLOAT32, {6}); 94 OperandType type1(Type::INT32, {}); 95 OperandType type5(Type::TENSOR_FLOAT32, {0}); 96 // Phase 1, operands 97 auto input0 = model->addOperand(&type0); 98 auto axis = model->addOperand(&type1); 99 auto num_splits = model->addOperand(&type1); 100 auto output0 = model->addOperand(&type5); 101 auto output1 = model->addOperand(&type5); 102 auto output2 = model->addOperand(&type5); 103 // Phase 2, operations 104 static int32_t axis_init[] = {0}; 105 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 106 static int32_t num_splits_init[] = {3}; 107 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 108 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 109 // Phase 3, inputs and outputs 110 model->identifyInputsAndOutputs( 111 {input0}, 112 {output0, output1, output2}); 113 assert(model->isValid()); 114 } 115 116 inline bool is_ignored_dynamic_output_shape(int i) { 117 static std::set<int> ignore = {}; 118 return ignore.find(i) != ignore.end(); 119 } 120 121 void CreateModel_dynamic_output_shape_relaxed(Model *model) { 122 OperandType type0(Type::TENSOR_FLOAT32, {6}); 123 OperandType type1(Type::INT32, {}); 124 OperandType type5(Type::TENSOR_FLOAT32, {0}); 125 // Phase 1, operands 126 auto input0 = model->addOperand(&type0); 127 auto axis = model->addOperand(&type1); 128 auto num_splits = model->addOperand(&type1); 129 auto output0 = model->addOperand(&type5); 130 auto output1 = model->addOperand(&type5); 131 auto output2 = model->addOperand(&type5); 132 // Phase 2, operations 133 static int32_t axis_init[] = {0}; 134 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 135 static int32_t num_splits_init[] = {3}; 136 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 137 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 138 // Phase 3, inputs and outputs 139 model->identifyInputsAndOutputs( 140 {input0}, 141 {output0, output1, output2}); 142 // Phase 4: set relaxed execution 143 model->relaxComputationFloat32toFloat16(true); 144 assert(model->isValid()); 145 } 146 147 inline bool is_ignored_dynamic_output_shape_relaxed(int i) { 148 static std::set<int> ignore = {}; 149 return ignore.find(i) != ignore.end(); 150 } 151 152 void CreateModel_dynamic_output_shape_float16(Model *model) { 153 OperandType type1(Type::INT32, {}); 154 OperandType type3(Type::TENSOR_FLOAT16, {6}); 155 OperandType type6(Type::TENSOR_FLOAT16, {0}); 156 // Phase 1, operands 157 auto input0 = model->addOperand(&type3); 158 auto axis = model->addOperand(&type1); 159 auto num_splits = model->addOperand(&type1); 160 auto output0 = model->addOperand(&type6); 161 auto output1 = model->addOperand(&type6); 162 auto output2 = model->addOperand(&type6); 163 // Phase 2, operations 164 static int32_t axis_init[] = {0}; 165 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 166 static int32_t num_splits_init[] = {3}; 167 model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); 168 model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1, output2}); 169 // Phase 3, inputs and outputs 170 model->identifyInputsAndOutputs( 171 {input0}, 172 {output0, output1, output2}); 173 assert(model->isValid()); 174 } 175 176 inline bool is_ignored_dynamic_output_shape_float16(int i) { 177 static std::set<int> ignore = {}; 178 return ignore.find(i) != ignore.end(); 179 } 180 181
