/** * Copyright 2019 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_RESHAPE_CPU_KERNEL_H_ #define MINDSPORE_CCSRC_KERNEL_CPU_RESHAPE_CPU_KERNEL_H_ #include #include #include "kernel/cpu/cpu_kernel.h" #include "kernel/cpu/cpu_kernel_factory.h" namespace mindspore { namespace kernel { class ReshapeCPUKernel : public CPUKernel { public: ReshapeCPUKernel() = default; ~ReshapeCPUKernel() override = default; void InitKernel(const CNodePtr &kernel_node) override; bool Launch(const std::vector &inputs, const std::vector &workspace, const std::vector &outputs) override; }; MS_REG_CPU_KERNEL(Reshape, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReshapeCPUKernel); MS_REG_CPU_KERNEL(Reshape, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32), ReshapeCPUKernel); MS_REG_CPU_KERNEL(Flatten, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReshapeCPUKernel); MS_REG_CPU_KERNEL(Flatten, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32), ReshapeCPUKernel); MS_REG_CPU_KERNEL(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32), ReshapeCPUKernel); MS_REG_CPU_KERNEL(ExpandDims, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32), ReshapeCPUKernel); } // namespace kernel } // namespace mindspore #endif // MINDSPORE_CCSRC_KERNEL_CPU_RESHAPE_CPU_KERNEL_H_