asc_copy_l0c2gm【免费下载链接】asc-devkit本项目是CANN 推出的昇腾AI处理器专用的算子程序开发语言原生支持C和C标准规范主要由类库和语言扩展层构成提供多层级API满足多维场景算子开发诉求。项目地址: https://gitcode.com/cann/asc-devkit产品支持情况Ascend 950PR/Ascend 950DT不支持Atlas A3 训练系列产品/Atlas A3 推理系列产品支持Atlas A2 训练系列产品/Atlas A2 推理系列产品支持Atlas 200I/500 A2 推理产品不支持Atlas 推理系列产品AI Core不支持Atlas 推理系列产品Vector Core不支持Atlas 训练系列产品不支持功能说明头文件路径c_api/cube_datamove/cube_datamove.h。矩阵计算完成后对结果进行量化处理之后将处理结果搬运到GM中。量化模式共分为9种分别为NoQuant不开启量化功能。F322F16float量化成half。量化结果不支持INF_NAN模式。F322BF16float量化成bfloat16_t。量化结果不支持INF_NAN模式。DEQF16int32_t量化成half。量化结果不支持INF_NAN模式。VDEQF16int32_t量化成half。量化结果不支持INF_NAN模式。QF322B8_PREfloat量化成uint8_t/int8_t。scalar量化。VQF322B8_PREfloat量化成uint8_t/int8_t。矢量量化。REQ8int32_t量化成uint8_t/int8_t。scalar量化。VREQ8int32_t量化成uint8_t/int8_t。矢量量化。函数原型常规搬运__aicore__ inline void asc_copy_l0c2gm(__gm__ half* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ bfloat16_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ uint8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ float* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ half* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int16_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int8_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int32_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en)同步搬运__aicore__ inline void asc_copy_l0c2gm_sync(__gm__ half* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ bfloat16_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ uint8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ float* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ half* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int16_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int8_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int32_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en)参数说明参数名输入/输出描述dst输出目的操作数矢量的起始地址。src输入源操作数矢量的起始地址。n_size输入源NZ矩阵在N方向上的大小。- 不开启NZ2ND功能若开启channel_split功能n_size必须为8的倍数取值范围为[1, 4095]。若不开启channel_split功能n_size必须为16的倍数取值范围为[1, 4095]。- 开启NZ2ND功能m_size的取值范围为[1, 4095]。m_size输入源NZ矩阵在M方向上的大小。- 不开启NZ2ND功能取值范围为[1, 65535]。- 开启NZ2ND功能m_size的取值范围为[1, 8192]。dst_stride_dst_d输入- 不开启NZ2ND功能,目的NZ矩阵中相邻Z排布的起始地址偏移取值不为0单位element。- 开启NZ2ND/NZ2DN功能,目的ND矩阵每一行中的元素个数取值不为0 单位element。src_stride输入源NZ矩阵中相邻Z排布的起始地址偏移取值范围[0, 65535]单位C0_Size(16*sizeof(T), T为src的数据类型)。unit_flag_mode输入与unit_flag参数相关取值如下0保留值2开启unit_flag硬件执行完指令之后不会设置寄存器3开启unit_flag硬件执行完指令后会将unit_flag关闭。quant_pre输入量化参数。取值见功能说明。relu_pre输入开启relu。channel_split输入是否开启通道拆分的功能默认false不开启该功能。仅在src和dst都为float时才能开启通道拆分且不能同时开启channel_split和NZ2ND功能。nz2nd_en输入开启nz2nd开关false不开启true开启。返回值说明无流水类型PIPE_MTE1约束说明dst、src的起始地址需要32字节对齐。操作数地址重叠约束请参考通用地址重叠约束。调用示例// total_length指参与搬运的数据总长度 constexpr uint64_t total_length 128; // dst src分别对应目的操作数的输出地址和源操作数的输入地址dst是外部输入的int32_t类型的GM地址。 __cc__ int32_t src[total_length]; // 其余入参均已默认数值传入 uint16_t n_size 16; uint16_t m_size 16; uint32_t dst_stride_dst_d 0; uint16_t src_stride 8; uint8_t unit_flag_mode 0; uint64_t quant_pre QuantMode_t::NoQuant; uint8_t relu_pre 0; bool channel_split false; bool nz2nd_en false; // 函数调用 asc_copy_l0c2gm_sync(dst, src, n_size, m_size, dst_stride_dst_d, src_stride, unit_flag_mode, quant_pre, relu_pre, channel_split, nz2nd_en);【免费下载链接】asc-devkit本项目是CANN 推出的昇腾AI处理器专用的算子程序开发语言原生支持C和C标准规范主要由类库和语言扩展层构成提供多层级API满足多维场景算子开发诉求。项目地址: https://gitcode.com/cann/asc-devkit创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
CANN/asc-devkit SIMD C-API数据搬运函数
asc_copy_l0c2gm【免费下载链接】asc-devkit本项目是CANN 推出的昇腾AI处理器专用的算子程序开发语言原生支持C和C标准规范主要由类库和语言扩展层构成提供多层级API满足多维场景算子开发诉求。项目地址: https://gitcode.com/cann/asc-devkit产品支持情况Ascend 950PR/Ascend 950DT不支持Atlas A3 训练系列产品/Atlas A3 推理系列产品支持Atlas A2 训练系列产品/Atlas A2 推理系列产品支持Atlas 200I/500 A2 推理产品不支持Atlas 推理系列产品AI Core不支持Atlas 推理系列产品Vector Core不支持Atlas 训练系列产品不支持功能说明头文件路径c_api/cube_datamove/cube_datamove.h。矩阵计算完成后对结果进行量化处理之后将处理结果搬运到GM中。量化模式共分为9种分别为NoQuant不开启量化功能。F322F16float量化成half。量化结果不支持INF_NAN模式。F322BF16float量化成bfloat16_t。量化结果不支持INF_NAN模式。DEQF16int32_t量化成half。量化结果不支持INF_NAN模式。VDEQF16int32_t量化成half。量化结果不支持INF_NAN模式。QF322B8_PREfloat量化成uint8_t/int8_t。scalar量化。VQF322B8_PREfloat量化成uint8_t/int8_t。矢量量化。REQ8int32_t量化成uint8_t/int8_t。scalar量化。VREQ8int32_t量化成uint8_t/int8_t。矢量量化。函数原型常规搬运__aicore__ inline void asc_copy_l0c2gm(__gm__ half* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ bfloat16_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ uint8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ float* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ half* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int16_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int8_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm(__gm__ int32_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en)同步搬运__aicore__ inline void asc_copy_l0c2gm_sync(__gm__ half* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ bfloat16_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ uint8_t* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ float* dst, __cc__ float* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ half* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int16_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int8_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en) __aicore__ inline void asc_copy_l0c2gm_sync(__gm__ int32_t* dst, __cc__ int32_t* src, uint16_t n_size, uint16_t m_size, uint32_t dst_stride_dst_d, uint16_t src_stride, uint8_t unit_flag_mode, uint64_t quant_pre, uint8_t relu_pre, bool channel_split, bool nz2nd_en)参数说明参数名输入/输出描述dst输出目的操作数矢量的起始地址。src输入源操作数矢量的起始地址。n_size输入源NZ矩阵在N方向上的大小。- 不开启NZ2ND功能若开启channel_split功能n_size必须为8的倍数取值范围为[1, 4095]。若不开启channel_split功能n_size必须为16的倍数取值范围为[1, 4095]。- 开启NZ2ND功能m_size的取值范围为[1, 4095]。m_size输入源NZ矩阵在M方向上的大小。- 不开启NZ2ND功能取值范围为[1, 65535]。- 开启NZ2ND功能m_size的取值范围为[1, 8192]。dst_stride_dst_d输入- 不开启NZ2ND功能,目的NZ矩阵中相邻Z排布的起始地址偏移取值不为0单位element。- 开启NZ2ND/NZ2DN功能,目的ND矩阵每一行中的元素个数取值不为0 单位element。src_stride输入源NZ矩阵中相邻Z排布的起始地址偏移取值范围[0, 65535]单位C0_Size(16*sizeof(T), T为src的数据类型)。unit_flag_mode输入与unit_flag参数相关取值如下0保留值2开启unit_flag硬件执行完指令之后不会设置寄存器3开启unit_flag硬件执行完指令后会将unit_flag关闭。quant_pre输入量化参数。取值见功能说明。relu_pre输入开启relu。channel_split输入是否开启通道拆分的功能默认false不开启该功能。仅在src和dst都为float时才能开启通道拆分且不能同时开启channel_split和NZ2ND功能。nz2nd_en输入开启nz2nd开关false不开启true开启。返回值说明无流水类型PIPE_MTE1约束说明dst、src的起始地址需要32字节对齐。操作数地址重叠约束请参考通用地址重叠约束。调用示例// total_length指参与搬运的数据总长度 constexpr uint64_t total_length 128; // dst src分别对应目的操作数的输出地址和源操作数的输入地址dst是外部输入的int32_t类型的GM地址。 __cc__ int32_t src[total_length]; // 其余入参均已默认数值传入 uint16_t n_size 16; uint16_t m_size 16; uint32_t dst_stride_dst_d 0; uint16_t src_stride 8; uint8_t unit_flag_mode 0; uint64_t quant_pre QuantMode_t::NoQuant; uint8_t relu_pre 0; bool channel_split false; bool nz2nd_en false; // 函数调用 asc_copy_l0c2gm_sync(dst, src, n_size, m_size, dst_stride_dst_d, src_stride, unit_flag_mode, quant_pre, relu_pre, channel_split, nz2nd_en);【免费下载链接】asc-devkit本项目是CANN 推出的昇腾AI处理器专用的算子程序开发语言原生支持C和C标准规范主要由类库和语言扩展层构成提供多层级API满足多维场景算子开发诉求。项目地址: https://gitcode.com/cann/asc-devkit创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
