模板参数MatmulConfig，用于配置Matmul模板信息以及相关的配置参数。不配置默认使能Norm模板。

MatmulConfig的参数说明见表2。除了在默认模板范围【CFG_NORM、CFG_MDL、CFG_IBSHARE_NORM】中选取模板外，也可以通过如下接口，获取自定义模板。其中，各个接口参数的含义见表2。

获取Norm模板的接口

__aicore__ constexpr MatmulConfig GetNormalConfig(const bool intrinsicsLimit = false, const bool batchLoop = false, const bool isVecND2NZ = false, const BatchMode bmmMode = BatchMode::BATCH_LESS_THAN_L1, const bool isMsgReuse = true, const IterateOrder iterateOrder = IterateOrder::UNDEF, const ScheduleType scheduleType = ScheduleType::INNER_PRODUCT, const bool enUnitFlag = true)

获取MDL模板的接口

__aicore__ constexpr MatmulConfig GetMDLConfig(const bool intrinsicsLimit = false, const bool batchLoop = false, const uint32_t doMTE2Preload = 0, const bool isVecND2NZ = false, bool isPerTensor = false, bool hasAntiQuantOffset = false, const bool enUnitFlag = false, const bool isMsgReuse = true, const bool enableUBReuse = true, const bool enableL1CacheUB = false, const IterateOrder iterateOrder = IterateOrder::UNDEF, const ScheduleType scheduleType = ScheduleType::INNER_PRODUCT)

获取SpecialMDL的接口

__aicore__ constexpr MatmulConfig GetSpecialMDLConfig(const bool intrinsicsLimit = false, const bool batchLoop = false, const uint32_t doMTE2Preload = 0, const bool isVecND2NZ = false, bool isPerTensor = false, bool hasAntiQuantOffset = false)

获取IBShare模板的接口

__aicore__ constexpr MatmulConfig GetIBShareNormConfig(const bool intrinsicsLimit = false, const bool batchLoop = false, const bool isVecND2NZ = false, const BatchMode bmmMode = BatchMode::BATCH_LESS_THAN_L1, const bool isDoubleCache = false, const bool enUnitFlag = true)

获取BasicBlock模板的接口

__aicore__ constexpr MatmulConfig GetBasicConfig(const uint32_t basicM, const uint32_t basicN, const uint32_t basicK, const bool intrinsicsLimit = false, const bool batchLoop = false, const BatchMode bmmMode = BatchMode::BATCH_LESS_THAN_L1)

BasicBlock模板的使用样例请参考basic_block_matmul。

获取SpecialBasicBlock模板的接口（预留接口）

__aicore__ constexpr MatmulConfig GetSpecialBasicConfig(const uint32_t basicM, const uint32_t basicN, const uint32_t basicK, const uint32_t singleCoreM, const uint32_t singleCoreN, const uint32_t singleCoreK, const uint32_t stepM, const uint32_t stepN, const bool intrinsicsLimit = false, const bool batchLoop = false, const BatchMode bmmMode = BatchMode::BATCH_LESS_THAN_L1)