1 /** 2 * Copyright 2023 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_MAXPOOL_GRAD_WITH_ARGMAX_V2_GPU_KERNEL_H_ 18 #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_MAXPOOL_GRAD_WITH_ARGMAX_V2_GPU_KERNEL_H_ 19 20 #include <algorithm> 21 #include <vector> 22 #include <string> 23 #include <map> 24 #include <utility> 25 #include "plugin/device/gpu/kernel/gpu_kernel.h" 26 #include "plugin/device/gpu/kernel/gpu_kernel_factory.h" 27 #include "plugin/device/gpu/kernel/kernel_constants.h" 28 29 namespace mindspore { 30 namespace kernel { 31 class MaxPoolGradWithArgmaxV2GpuKernelMod : public NativeGpuKernelMod { 32 public: MaxPoolGradWithArgmaxV2GpuKernelMod(const std::string & kernel_name)33 explicit MaxPoolGradWithArgmaxV2GpuKernelMod(const std::string &kernel_name) : kernel_name_(kernel_name) {} 34 ~MaxPoolGradWithArgmaxV2GpuKernelMod() override = default; 35 36 bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override; 37 38 int Resize(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override; 39 Launch(const std::vector<KernelTensor * > & inputs,const std::vector<KernelTensor * > & workspace,const std::vector<KernelTensor * > & outputs,void * cuda_stream)40 bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace, 41 const std::vector<KernelTensor *> &outputs, void *cuda_stream) override { 42 if (is_null_input_) { 43 return true; 44 } 45 cuda_stream_ = cuda_stream; 46 return kernel_func_(this, inputs, outputs); 47 } 48 49 std::vector<KernelAttr> GetOpSupport() override; 50 51 private: 52 template <typename T, typename S> 53 bool LaunchKernel(const std::vector<kernel::KernelTensor *> &inputs, 54 const std::vector<kernel::KernelTensor *> &outputs); 55 using MaxPoolArgmaxV2GradFunc = 56 std::function<bool(MaxPoolGradWithArgmaxV2GpuKernelMod *, const std::vector<kernel::KernelTensor *> &, 57 const std::vector<kernel::KernelTensor *> &)>; 58 static std::vector<std::pair<KernelAttr, MaxPoolArgmaxV2GradFunc>> func_list_; 59 MaxPoolArgmaxV2GradFunc kernel_func_; 60 std::string kernel_name_; 61 void *cuda_stream_{nullptr}; 62 63 int64_t x_hw_{1}; 64 int64_t x_chw_{1}; 65 int64_t x_nchw_{1}; 66 int64_t dy_hw_{1}; 67 int64_t dy_chw_{1}; 68 int64_t dy_nchw_{1}; 69 bool is_null_input_{false}; 70 }; 71 } // namespace kernel 72 } // namespace mindspore 73 74 #endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_MAXPOOL_GRAD_WITH_ARGMAX_V2_GPU_KERNEL_H_ 75