1// Generated file (from: depthwise_conv2d_float_weights_as_inputs.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type3(Type::INT32, {}); 4 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4}); 5 OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 2}); 6 OperandType type2(Type::TENSOR_FLOAT32, {4}); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type2); 11 auto pad0 = model->addOperand(&type3); 12 auto act = model->addOperand(&type3); 13 auto stride = model->addOperand(&type3); 14 auto channelMultiplier = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type1); 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 static int32_t channelMultiplier_init[] = {2}; 24 model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1); 25 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4}); 26 // Phase 3, inputs and outputs 27 model->identifyInputsAndOutputs( 28 {op1, op2, op3}, 29 {op4}); 30 assert(model->isValid()); 31} 32 33bool is_ignored(int i) { 34 static std::set<int> ignore = {}; 35 return ignore.find(i) != ignore.end(); 36} 37