forked from huawei/mindspore2022
67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
/**
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* Copyright 2020 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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#include "kernel/cpu/addn_cpu_kernel.h"
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#include "device/cpu/cpu_device_address.h"
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#include "ir/primitive.h"
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namespace mindspore {
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namespace kernel {
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void AddNCPUKernel::InitKernel(const CNodePtr &kernel_node) {
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CheckParam(kernel_node);
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input_num_ = AnfAlgo::GetInputTensorNum(kernel_node);
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output_shape_ = AnfAlgo::GetOutputInferShape(kernel_node, 0);
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CPUKernelUtils::ExpandDimsTo4(&output_shape_);
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}
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bool AddNCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
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const std::vector<kernel::AddressPtr> & /*workspace*/,
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const std::vector<kernel::AddressPtr> &outputs) {
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auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
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size_t offset = 0;
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for (size_t i = 0; i < output_shape_[0]; ++i) {
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for (size_t j = 0; j < output_shape_[1]; ++j) {
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for (size_t k = 0; k < output_shape_[2]; ++k) {
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for (size_t m = 0; m < output_shape_[3]; ++m) {
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float sum = 0;
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for (size_t index = 0; index < input_num_; ++index) {
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auto input_addr = reinterpret_cast<float *>(inputs[index]->addr);
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sum += input_addr[offset];
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}
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output_addr[offset++] = sum;
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}
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}
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}
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}
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return true;
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}
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void AddNCPUKernel::CheckParam(const CNodePtr &kernel_node) {
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auto input_shape = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
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if (input_shape.size() > 4) {
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MS_LOG(EXCEPTION) << "Input dims is " << input_shape.size() << ", but AddNCPUKernel olny support 4d or lower.";
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}
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size_t output_num = AnfAlgo::GetOutputTensorNum(kernel_node);
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if (output_num != 1) {
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MS_LOG(EXCEPTION) << "Output number is " << output_num << ", but AddNCPUKernel needs 1 output.";
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}
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}
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} // namespace kernel
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} // namespace mindspore
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