// clang-format off // Generated file (from: split_quant8_4.mod.py). Do not edit void CreateModel(Model *model) { OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2, 2}, 1.0f, 0); OperandType type1(Type::INT32, {}); OperandType type2(Type::TENSOR_QUANT8_ASYMM, {2, 1, 2}, 1.0f, 0); // Phase 1, operands auto input0 = model->addOperand(&type0); auto axis = model->addOperand(&type1); auto num_splits = model->addOperand(&type1); auto output0 = model->addOperand(&type2); auto output1 = model->addOperand(&type2); // Phase 2, operations static int32_t axis_init[] = {1}; model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); static int32_t num_splits_init[] = {2}; model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); // Phase 3, inputs and outputs model->identifyInputsAndOutputs( {input0}, {output0, output1}); assert(model->isValid()); } inline bool is_ignored(int i) { static std::set ignore = {}; return ignore.find(i) != ignore.end(); } void CreateModel_dynamic_output_shape(Model *model) { OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 2, 2}, 1.0f, 0); OperandType type1(Type::INT32, {}); OperandType type3(Type::TENSOR_QUANT8_ASYMM, {0, 0, 0}, 1.0f, 0); // Phase 1, operands auto input0 = model->addOperand(&type0); auto axis = model->addOperand(&type1); auto num_splits = model->addOperand(&type1); auto output0 = model->addOperand(&type3); auto output1 = model->addOperand(&type3); // Phase 2, operations static int32_t axis_init[] = {1}; model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); static int32_t num_splits_init[] = {2}; model->setOperandValue(num_splits, num_splits_init, sizeof(int32_t) * 1); model->addOperation(ANEURALNETWORKS_SPLIT, {input0, axis, num_splits}, {output0, output1}); // Phase 3, inputs and outputs model->identifyInputsAndOutputs( {input0}, {output0, output1}); assert(model->isValid()); } inline bool is_ignored_dynamic_output_shape(int i) { static std::set ignore = {}; return ignore.find(i) != ignore.end(); }