DefaultBlockConfig【免费下载链接】atvossATVOSSAscend C Templates for Vector Operator Subroutines是一套基于Ascend C开发的Vector算子库致力于为昇腾硬件上的Vector类融合算子提供极简、高效、高性能、高拓展的编程方式。项目地址: https://gitcode.com/cann/atvoss功能说明默认的block层schedule配置参数的数据结构。所属头文件链接/include/elewise/block/schedule.h数据结构struct DefaultBlockConfig { uint32_t wholeLoop 0; uint32_t tileCnt 0; uint32_t basicNum 0; uint32_t totalElemCnt 0; };数据结构成员说明成员名称成员类型成员说明默认值wholeLoopuint32_t当前核上tile块的轮询次数0tileCntuint32_t当前轮询处理的tile块中包含的元素个数整块tile块时为00basicNumuint32_t整块tile块包含的元素个数0totalElemCntuint32_t当前核上处理的总元素个数0约束说明NA使用示例template typename InputDtype, typename OutputDtype struct AddSubConfig { struct AddSubCompute { template template typename class Tensor __host_aicore__ constexpr auto Compute() const { auto in1 Atvoss::PlaceHolder1, TensorInputDtype, Atvoss::ParamUsage::IN(); auto in2 Atvoss::PlaceHolder2, TensorInputDtype, Atvoss::ParamUsage::IN(); auto in3 Atvoss::PlaceHolder3, InputDtype, Atvoss::ParamUsage::IN(); auto out Atvoss::PlaceHolder4, TensorOutputDtype, Atvoss::ParamUsage::OUT(); return (out in1 in2 - in3); }; }; static constexpr Atvoss::Ele::DefaultBlockPolicyTileShape blockPolicy{TileShape{}}; using ArchTag Atvoss::Arch::DAV_3510; using BlockOp Atvoss::Ele::BlockBuilder AddSubCompute, ArchTag, blockPolicy, // 使用示例 Atvoss::Ele::DefaultBlockConfig // 使用示例 ; using KernelOp Atvoss::Ele::KernelBuilderBlockOp; using DeviceOp Atvoss::DeviceAdapterKernelOp; }; template typename InputDtype, typename OutputDtype static void Run() { /* ACL init and stream create */ ... Atvoss::TensorInputDtype in1(deviceIn1, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); Atvoss::TensorInputDtype in2(deviceIn2, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); InputDtype in3 5.0; Atvoss::TensorOutputDtype out(deviceOut, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); auto arguments Atvoss::ArgumentsBuilder{}.inputOutput(in1, in2, in3, out).attr(dim, 5).build(); using DeviceOp typename AddSubConfigInputDtype, OutputDtype::DeviceOp; DeviceOp deviceOp; deviceOp.Run(arguments, stream); } int main(int argc, char const* argv[]) { Runfloat, float(); return 0; }【免费下载链接】atvossATVOSSAscend C Templates for Vector Operator Subroutines是一套基于Ascend C开发的Vector算子库致力于为昇腾硬件上的Vector类融合算子提供极简、高效、高性能、高拓展的编程方式。项目地址: https://gitcode.com/cann/atvoss创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
CANN/atvoss默认块配置说明
发布时间：2026/7/14 14:43:56
DefaultBlockConfig【免费下载链接】atvossATVOSSAscend C Templates for Vector Operator Subroutines是一套基于Ascend C开发的Vector算子库致力于为昇腾硬件上的Vector类融合算子提供极简、高效、高性能、高拓展的编程方式。项目地址: https://gitcode.com/cann/atvoss功能说明默认的block层schedule配置参数的数据结构。所属头文件链接/include/elewise/block/schedule.h数据结构struct DefaultBlockConfig { uint32_t wholeLoop 0; uint32_t tileCnt 0; uint32_t basicNum 0; uint32_t totalElemCnt 0; };数据结构成员说明成员名称成员类型成员说明默认值wholeLoopuint32_t当前核上tile块的轮询次数0tileCntuint32_t当前轮询处理的tile块中包含的元素个数整块tile块时为00basicNumuint32_t整块tile块包含的元素个数0totalElemCntuint32_t当前核上处理的总元素个数0约束说明NA使用示例template typename InputDtype, typename OutputDtype struct AddSubConfig { struct AddSubCompute { template template typename class Tensor __host_aicore__ constexpr auto Compute() const { auto in1 Atvoss::PlaceHolder1, TensorInputDtype, Atvoss::ParamUsage::IN(); auto in2 Atvoss::PlaceHolder2, TensorInputDtype, Atvoss::ParamUsage::IN(); auto in3 Atvoss::PlaceHolder3, InputDtype, Atvoss::ParamUsage::IN(); auto out Atvoss::PlaceHolder4, TensorOutputDtype, Atvoss::ParamUsage::OUT(); return (out in1 in2 - in3); }; }; static constexpr Atvoss::Ele::DefaultBlockPolicyTileShape blockPolicy{TileShape{}}; using ArchTag Atvoss::Arch::DAV_3510; using BlockOp Atvoss::Ele::BlockBuilder AddSubCompute, ArchTag, blockPolicy, // 使用示例 Atvoss::Ele::DefaultBlockConfig // 使用示例 ; using KernelOp Atvoss::Ele::KernelBuilderBlockOp; using DeviceOp Atvoss::DeviceAdapterKernelOp; }; template typename InputDtype, typename OutputDtype static void Run() { /* ACL init and stream create */ ... Atvoss::TensorInputDtype in1(deviceIn1, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); Atvoss::TensorInputDtype in2(deviceIn2, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); InputDtype in3 5.0; Atvoss::TensorOutputDtype out(deviceOut, {{3, 4, 0, 0, 0, 0, 0, 0}}, 2); auto arguments Atvoss::ArgumentsBuilder{}.inputOutput(in1, in2, in3, out).attr(dim, 5).build(); using DeviceOp typename AddSubConfigInputDtype, OutputDtype::DeviceOp; DeviceOp deviceOp; deviceOp.Run(arguments, stream); } int main(int argc, char const* argv[]) { Runfloat, float(); return 0; }【免费下载链接】atvossATVOSSAscend C Templates for Vector Operator Subroutines是一套基于Ascend C开发的Vector算子库致力于为昇腾硬件上的Vector类融合算子提供极简、高效、高性能、高拓展的编程方式。项目地址: https://gitcode.com/cann/atvoss创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
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