1// Generated file (from: conv_quant8_channels_weights_as_inputs.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type2(Type::TENSOR_INT32, {3}, 0.25, 0); 5 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 3}, 0.5f, 0); 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 3}, 1.0, 0); 7 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3, 1, 1, 3}, 0.5f, 0); 8 // Phase 1, operands 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad0 = model->addOperand(&type3); 13 auto act = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type4); 16 // Phase 2, operations 17 static int32_t pad0_init[] = {0}; 18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 19 static int32_t act_init[] = {0}; 20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 21 static int32_t stride_init[] = {1}; 22 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 24 // Phase 3, inputs and outputs 25 model->identifyInputsAndOutputs( 26 {op1, op2, op3}, 27 {op4}); 28 assert(model->isValid()); 29} 30 31bool is_ignored(int i) { 32 static std::set<int> ignore = {}; 33 return ignore.find(i) != ignore.end(); 34} 35