1// Generated file (from: depthwise_conv.bin.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type0(Type::INT32, {}); 4 OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3}); 5 OperandType type1(Type::TENSOR_FLOAT32, {1, 8, 8, 3}); 6 OperandType type3(Type::TENSOR_FLOAT32, {3}); 7 // Phase 1, operands 8 auto b4 = model->addOperand(&type0); 9 auto b5 = model->addOperand(&type0); 10 auto b6 = model->addOperand(&type0); 11 auto b7 = model->addOperand(&type0); 12 auto b8 = model->addOperand(&type0); 13 auto op2 = model->addOperand(&type1); 14 auto op3 = model->addOperand(&type1); 15 auto op0 = model->addOperand(&type2); 16 auto op1 = model->addOperand(&type3); 17 // Phase 2, operations 18 static int32_t b4_init[] = {1}; 19 model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); 20 static int32_t b5_init[] = {1}; 21 model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1); 22 static int32_t b6_init[] = {1}; 23 model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); 24 static int32_t b7_init[] = {1}; 25 model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); 26 static int32_t b8_init[] = {0}; 27 model->setOperandValue(b8, b8_init, sizeof(int32_t) * 1); 28 static float op0_init[] = {-0.966213f, -0.467474f, -0.82203f}; 29 model->setOperandValue(op0, op0_init, sizeof(float) * 3); 30 static float op1_init[] = {0.0f, 0.0f, 0.0f}; 31 model->setOperandValue(op1, op1_init, sizeof(float) * 3); 32 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); 33 // Phase 3, inputs and outputs 34 model->identifyInputsAndOutputs( 35 {op2}, 36 {op3}); 37 assert(model->isValid()); 38} 39 40bool is_ignored(int i) { 41 static std::set<int> ignore = {}; 42 return ignore.find(i) != ignore.end(); 43} 44