forked from huawei/mindspore2022
54 lines
1.8 KiB
C++
54 lines
1.8 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 "device/convert_tensor_utils.h"
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#include <vector>
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namespace mindspore {
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namespace device {
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void HalfToFloat(void *dst, const void *src, size_t elem_num) {
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auto half_data = static_cast<const Eigen::half *>(src);
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auto float_data = static_cast<float *>(dst);
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for (size_t i = 0; i < elem_num; ++i) {
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float tmp = Eigen::half_impl::half_to_float(half_data[i]);
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float_data[i] = tmp;
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}
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}
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void FloatToHalf(void *dst, const void *src, size_t elem_num) {
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auto float_data = static_cast<const float *>(src);
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auto half_data = static_cast<Eigen::half *>(dst);
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for (size_t i = 0; i < elem_num; ++i) {
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half_data[i] = Eigen::half(float_data[i]);
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}
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}
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void DoubleToFloat(void *dst, const void *src, size_t elem_num) {
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auto double_data = static_cast<const double *>(src);
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auto float_data = static_cast<float *>(dst);
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for (size_t i = 0; i < elem_num; ++i) {
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float_data[i] = static_cast<float>(double_data[i]);
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}
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}
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void FloatToDouble(void *dst, const void *src, size_t elem_num) {
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auto float_data = static_cast<const float *>(src);
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auto double_data = static_cast<double *>(dst);
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for (size_t i = 0; i < elem_num; ++i) {
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double_data[i] = static_cast<double>(float_data[i]);
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}
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}
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} // namespace device
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} // namespace mindspore
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