forked from huawei/mindspore2022
86 lines
3.2 KiB
C++
86 lines
3.2 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_KERNEL_CPU_CPU_KERNEL_H_
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#define MINDSPORE_CCSRC_KERNEL_CPU_CPU_KERNEL_H_
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#include <string>
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#include <vector>
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#include <memory>
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#include <numeric>
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#include <functional>
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#include "kernel/kernel.h"
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#include "ir/anf.h"
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#include "session/anf_runtime_algorithm.h"
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using mindspore::kernel::Address;
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using mindspore::kernel::AddressPtr;
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namespace mindspore {
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namespace kernel {
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const char KSIZE[] = "ksize";
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const char STRIDE[] = "stride";
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const char STRIDES[] = "strides";
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const char DILATION[] = "dilation";
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const char PAD[] = "pad";
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const char PAD_MODE[] = "pad_mode";
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const char PADDING[] = "padding";
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const char PAD_MODE_LOWER_SAME[] = "same";
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const char PAD_MODE_LOWER_VALID[] = "valid";
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const char PAD_MODE_UPPER_SAME[] = "SAME";
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const char PAD_MODE_UPPER_VALID[] = "VALID";
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const char TRANSPOSE_A[] = "transpose_a";
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const char TRANSPOSE_B[] = "transpose_b";
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const char IS_GRAD[] = "is_grad";
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const char TRANSPOSE_NO = 'N';
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const char TRANSPOSE_YES = 'T';
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const char AXIS[] = "axis";
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const char BEGIN[] = "begin";
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const char END[] = "end";
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const char SIZE[] = "size";
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class CPUKernel : public kernel::KernelMod {
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public:
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CPUKernel() = default;
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~CPUKernel() override = default;
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void Init(const CNodePtr &kernel_node);
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virtual void InitKernel(const CNodePtr &kernel_node) = 0;
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bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
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const std::vector<AddressPtr> &outputs, void * /*stream_ptr*/) override {
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return Launch(inputs, workspace, outputs);
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};
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virtual bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
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const std::vector<AddressPtr> &outputs) = 0;
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const std::vector<size_t> &GetInputSizeList() const override { return input_size_list_; }
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const std::vector<size_t> &GetOutputSizeList() const override { return output_size_list_; }
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const std::vector<size_t> &GetWorkspaceSizeList() const override { return workspace_size_list_; }
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protected:
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virtual void InitInputOutputSize(const CNodePtr &kernel_node);
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std::vector<size_t> input_size_list_;
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std::vector<size_t> output_size_list_;
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std::vector<size_t> workspace_size_list_;
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};
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class CPUKernelUtils {
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public:
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static void ExpandDimsTo4(std::vector<size_t> *shape);
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static size_t CalcOffset(const std::vector<size_t> &shape, size_t dim0, size_t dim1, size_t dim2, size_t dim3);
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static size_t GetElementNumOnAxis(const std::vector<size_t> &shape, int axis);
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};
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} // namespace kernel
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_KERNEL_CPU_CPU_KERNEL_H_
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