1 // clang-format off 2 // Generated file (from: split_quant8_1.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {6}, 1.0f, 0); 5 OperandType type1(Type::INT32, {}); 6 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2}, 1.0f, 0); 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_QUANT8_ASYMM, {6}, 1.0f, 0); 34 OperandType type1(Type::INT32, {}); 35 OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2}, 1.0f, 0); 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_dynamic_output_shape(Model *model) { 64 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {6}, 1.0f, 0); 65 OperandType type1(Type::INT32, {}); 66 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {0}, 1.0f, 0); 67 // Phase 1, operands 68 auto input0 = model->addOperand(&type0); 69 auto axis = model->addOperand(&type1); 70 auto num_splits = model->addOperand(&type1); 71 auto output0 = model->addOperand(&type3); 72 auto output1 = model->addOperand(&type3); 73 auto output2 = model->addOperand(&type3); 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_dynamic_output_shape(int i) { 88 static std::set<int> ignore = {}; 89 return ignore.find(i) != ignore.end(); 90 } 91 92 void CreateModel_dynamic_output_shape_relaxed(Model *model) { 93 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {6}, 1.0f, 0); 94 OperandType type1(Type::INT32, {}); 95 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {0}, 1.0f, 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(&type3); 101 auto output1 = model->addOperand(&type3); 102 auto output2 = model->addOperand(&type3); 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 // Phase 4: set relaxed execution 114 model->relaxComputationFloat32toFloat16(true); 115 assert(model->isValid()); 116 } 117 118 inline bool is_ignored_dynamic_output_shape_relaxed(int i) { 119 static std::set<int> ignore = {}; 120 return ignore.find(i) != ignore.end(); 121 } 122 123
