1 // clang-format off 2 // Generated file (from: concat_mixed_quant.mod.py). Do not edit 3 void CreateModel_quant8(Model *model) { 4 OperandType type2(Type::INT32, {}); 5 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127); 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0); 7 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123); 8 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0); 9 OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2, 1, 8}, 0.1f, 127); 10 // Phase 1, operands 11 auto input0 = model->addOperand(&type3); 12 auto input1 = model->addOperand(&type4); 13 auto input2 = model->addOperand(&type5); 14 auto input3 = model->addOperand(&type6); 15 auto param = model->addOperand(&type2); 16 auto output0 = model->addOperand(&type7); 17 // Phase 2, operations 18 static int32_t param_init[] = {2}; 19 model->setOperandValue(param, param_init, sizeof(int32_t) * 1); 20 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0}); 21 // Phase 3, inputs and outputs 22 model->identifyInputsAndOutputs( 23 {input0, input1, input2, input3}, 24 {output0}); 25 assert(model->isValid()); 26 } 27 28 inline bool is_ignored_quant8(int i) { 29 static std::set<int> ignore = {}; 30 return ignore.find(i) != ignore.end(); 31 } 32 33 void CreateModel_dynamic_output_shape_quant8(Model *model) { 34 OperandType type2(Type::INT32, {}); 35 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127); 36 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0); 37 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123); 38 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0); 39 OperandType type8(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0}, 0.1f, 127); 40 // Phase 1, operands 41 auto input0 = model->addOperand(&type3); 42 auto input1 = model->addOperand(&type4); 43 auto input2 = model->addOperand(&type5); 44 auto input3 = model->addOperand(&type6); 45 auto param = model->addOperand(&type2); 46 auto output0 = model->addOperand(&type8); 47 // Phase 2, operations 48 static int32_t param_init[] = {2}; 49 model->setOperandValue(param, param_init, sizeof(int32_t) * 1); 50 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0}); 51 // Phase 3, inputs and outputs 52 model->identifyInputsAndOutputs( 53 {input0, input1, input2, input3}, 54 {output0}); 55 assert(model->isValid()); 56 } 57 58 inline bool is_ignored_dynamic_output_shape_quant8(int i) { 59 static std::set<int> ignore = {}; 60 return ignore.find(i) != ignore.end(); 61 } 62 63 void CreateModel_quant8_2(Model *model) { 64 OperandType type2(Type::INT32, {}); 65 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127); 66 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0); 67 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123); 68 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0); 69 OperandType type9(Type::TENSOR_QUANT8_ASYMM, {2, 1, 8}, 0.0078125f, 127); 70 // Phase 1, operands 71 auto input0 = model->addOperand(&type3); 72 auto input1 = model->addOperand(&type4); 73 auto input2 = model->addOperand(&type5); 74 auto input3 = model->addOperand(&type6); 75 auto param = model->addOperand(&type2); 76 auto output0 = model->addOperand(&type9); 77 // Phase 2, operations 78 static int32_t param_init[] = {2}; 79 model->setOperandValue(param, param_init, sizeof(int32_t) * 1); 80 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0}); 81 // Phase 3, inputs and outputs 82 model->identifyInputsAndOutputs( 83 {input0, input1, input2, input3}, 84 {output0}); 85 assert(model->isValid()); 86 } 87 88 inline bool is_ignored_quant8_2(int i) { 89 static std::set<int> ignore = {}; 90 return ignore.find(i) != ignore.end(); 91 } 92 93 void CreateModel_dynamic_output_shape_quant8_2(Model *model) { 94 OperandType type10(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0}, 0.0078125f, 127); 95 OperandType type2(Type::INT32, {}); 96 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.084f, 127); 97 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.05f, 0); 98 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.089f, 123); 99 OperandType type6(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 0.029f, 0); 100 // Phase 1, operands 101 auto input0 = model->addOperand(&type3); 102 auto input1 = model->addOperand(&type4); 103 auto input2 = model->addOperand(&type5); 104 auto input3 = model->addOperand(&type6); 105 auto param = model->addOperand(&type2); 106 auto output0 = model->addOperand(&type10); 107 // Phase 2, operations 108 static int32_t param_init[] = {2}; 109 model->setOperandValue(param, param_init, sizeof(int32_t) * 1); 110 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {output0}); 111 // Phase 3, inputs and outputs 112 model->identifyInputsAndOutputs( 113 {input0, input1, input2, input3}, 114 {output0}); 115 assert(model->isValid()); 116 } 117 118 inline bool is_ignored_dynamic_output_shape_quant8_2(int i) { 119 static std::set<int> ignore = {}; 120 return ignore.find(i) != ignore.end(); 121 } 122 123
