forked from huawei/mindspore2022
68 lines
2.4 KiB
C++
68 lines
2.4 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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#include "kernel/cpu/argmax_cpu_kernel.h"
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#include "device/cpu/cpu_device_address.h"
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namespace mindspore {
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namespace kernel {
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void ArgmaxCPUKernel::InitKernel(const CNodePtr &kernel_node) {
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MS_EXCEPTION_IF_NULL(kernel_node);
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std::vector<size_t> shape = AnfAlgo::GetInputDeviceShape(kernel_node, 0);
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if (shape.size() != 2) {
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MS_LOG(EXCEPTION) << "argmax kernel dims invalid " << shape.size();
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}
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batch_size_ = shape[0];
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class_num_ = shape[1];
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int axis = AnfAlgo::GetNodeAttr<int>(kernel_node, AXIS);
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if (axis != -1 && axis != 1) {
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MS_LOG(EXCEPTION) << "argmax kernel not support axis " << axis;
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}
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}
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bool ArgmaxCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
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const std::vector<kernel::AddressPtr> & /*workspaces*/,
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const std::vector<kernel::AddressPtr> &outputs) {
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if (inputs.empty() || outputs.empty()) {
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MS_LOG(EXCEPTION) << "input or output empty!";
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}
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size_t batch_float_size = batch_size_ * sizeof(float);
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size_t batch_class_float_size = class_num_ * batch_float_size;
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if (inputs[0]->size != batch_class_float_size || outputs[0]->size != batch_float_size) {
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MS_LOG(EXCEPTION) << "invalid input or output data size!";
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}
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auto input = reinterpret_cast<float *>(inputs[0]->addr);
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auto output = reinterpret_cast<int *>(outputs[0]->addr);
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size_t row_start = 0;
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for (size_t i = 0; i < batch_size_; ++i) {
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size_t max_index = 0;
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float max_value = input[row_start];
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for (size_t j = 1; j < class_num_; ++j) {
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size_t index = row_start + j;
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if (input[index] > max_value) {
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max_value = input[index];
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max_index = j;
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}
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}
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output[i] = SizeToInt(max_index);
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row_start += class_num_;
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}
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return true;
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}
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} // namespace kernel
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} // namespace mindspore
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