/** * Copyright 2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef MINDSPORE_CCSRC_KERNEL_CPU_REDUCE_CPU_KERNEL_H_ #define MINDSPORE_CCSRC_KERNEL_CPU_REDUCE_CPU_KERNEL_H_ #include #include #include #include "kernel/cpu/cpu_kernel.h" #include "kernel/cpu/cpu_kernel_factory.h" namespace mindspore { namespace kernel { class ReduceCPUKernel : public CPUKernel { public: ReduceCPUKernel() = default; ~ReduceCPUKernel() override = default; void InitKernel(const CNodePtr &kernel_node) override; bool Launch(const std::vector &inputs, const std::vector &workspace, const std::vector &outputs) override; private: void Transpose(const int size, const float *input, const std::vector &input_shape, const std::vector &input_axis, const int shape_size, float *output); size_t reduce_type_; std::vector axis_; std::vector shape_; size_t left_dims_ = 1; size_t stride_ = 1; }; MS_REG_CPU_KERNEL(ReduceMean, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReduceCPUKernel); MS_REG_CPU_KERNEL(ReduceMax, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReduceCPUKernel); MS_REG_CPU_KERNEL(ReduceSum, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReduceCPUKernel); } // namespace kernel } // namespace mindspore #endif // MINDSPORE_CCSRC_KERNEL_CPU_REDUCE_CPU_KERNEL_H_