1 // Generated file (from: conv_quant8_2.mod.py). Do not edit 2 void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0); 5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 127); 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 127); 7 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 6, 1}, 0.5f, 127); 8 // Phase 1, operands 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad_valid = model->addOperand(&type3); 13 auto act_none = model->addOperand(&type3); 14 auto stride1 = model->addOperand(&type3); 15 auto stride3 = model->addOperand(&type3); 16 auto op4 = model->addOperand(&type4); 17 // Phase 2, operations 18 static uint8_t op2_init[] = {129, 131, 133, 135}; 19 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4); 20 static int32_t op3_init[] = {-4}; 21 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); 22 static int32_t pad_valid_init[] = {2}; 23 model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1); 24 static int32_t act_none_init[] = {0}; 25 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); 26 static int32_t stride1_init[] = {1}; 27 model->setOperandValue(stride1, stride1_init, sizeof(int32_t) * 1); 28 static int32_t stride3_init[] = {3}; 29 model->setOperandValue(stride3, stride3_init, sizeof(int32_t) * 1); 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4}); 31 // Phase 3, inputs and outputs 32 model->identifyInputsAndOutputs( 33 {op1}, 34 {op4}); 35 assert(model->isValid()); 36 } 37 38 bool is_ignored(int i) { 39 static std::set<int> ignore = {}; 40 return ignore.find(i) != ignore.end(); 41 } 42
