1 // clang-format off 2 // Generated file (from: conv_quant8.mod.py). Do not edit 3 void CreateModel(Model *model) { 4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0); 5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); 6 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0); 7 OperandType type3(Type::INT32, {}); 8 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 0); 9 // Phase 1, operands 10 auto op1 = model->addOperand(&type0); 11 auto op2 = model->addOperand(&type1); 12 auto op3 = model->addOperand(&type2); 13 auto pad0 = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto act = model->addOperand(&type3); 16 auto op4 = model->addOperand(&type4); 17 // Phase 2, operations 18 static uint8_t op2_init[] = {2, 2, 2, 2}; 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 pad0_init[] = {0}; 23 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 24 static int32_t stride_init[] = {1}; 25 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 26 static int32_t act_init[] = {0}; 27 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 28 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 29 // Phase 3, inputs and outputs 30 model->identifyInputsAndOutputs( 31 {op1}, 32 {op4}); 33 assert(model->isValid()); 34 } 35 36 inline bool is_ignored(int i) { 37 static std::set<int> ignore = {}; 38 return ignore.find(i) != ignore.end(); 39 } 40 41 void CreateModel_dynamic_output_shape(Model *model) { 42 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0); 43 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0); 44 OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0); 45 OperandType type3(Type::INT32, {}); 46 OperandType type5(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0, 0}, 1.0f, 0); 47 // Phase 1, operands 48 auto op1 = model->addOperand(&type0); 49 auto op2 = model->addOperand(&type1); 50 auto op3 = model->addOperand(&type2); 51 auto pad0 = model->addOperand(&type3); 52 auto stride = model->addOperand(&type3); 53 auto act = model->addOperand(&type3); 54 auto op4 = model->addOperand(&type5); 55 // Phase 2, operations 56 static uint8_t op2_init[] = {2, 2, 2, 2}; 57 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4); 58 static int32_t op3_init[] = {4}; 59 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); 60 static int32_t pad0_init[] = {0}; 61 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 62 static int32_t stride_init[] = {1}; 63 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); 64 static int32_t act_init[] = {0}; 65 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 66 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 67 // Phase 3, inputs and outputs 68 model->identifyInputsAndOutputs( 69 {op1}, 70 {op4}); 71 assert(model->isValid()); 72 } 73 74 inline bool is_ignored_dynamic_output_shape(int i) { 75 static std::set<int> ignore = {}; 76 return ignore.find(i) != ignore.end(); 77 } 78 79
