forked from huawei/mindspore2022
65 lines
2.8 KiB
C++
65 lines
2.8 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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#ifndef DATASET_KERNELS_DATA_DATA_UTILS_H_
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#define DATASET_KERNELS_DATA_DATA_UTILS_H_
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#include <memory>
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#include <vector>
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#include "dataset/core/constants.h"
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#include "dataset/core/cv_tensor.h"
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#include "dataset/core/data_type.h"
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#include "dataset/core/tensor.h"
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namespace mindspore {
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namespace dataset {
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// Returns Onehot encoding of the input tensor.
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// Example: if input=2 and numClasses=3, the output is [0 0 1].
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// @param input: Tensor has type DE_UINT64, the non-one hot values are stored
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// along the first dimensions or rows..
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// If the rank of input is not 1 or the type is not DE_UINT64,
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// then it will fail.
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// @param output: Tensor. The shape of the output tensor is <input_shape, numClasses>
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// and the type is same as input.
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// @param num_classes: Number of classes to.
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Status OneHotEncoding(std::shared_ptr<Tensor> input, std::shared_ptr<Tensor> *output, dsize_t num_classes);
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Status OneHotEncodingUnsigned(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output,
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dsize_t num_classes, int64_t index);
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Status OneHotEncodingSigned(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output, dsize_t num_classes,
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int64_t index);
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// Returns a type changed input tensor.
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// Example: if input tensor is float64, the output will the specified dataType. See DataTypes.cpp
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// @param input Tensor
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// @param output Tensor. The shape of the output tensor is same as input with the type changed.
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// @param data_type: type of data to cast data to
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// @note: this operation will do a memcpy and if the value is truncated then precision will be lost
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template <typename T>
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void CastFrom(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output);
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template <typename FROM, typename TO>
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void Cast(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output);
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Status ToFloat16(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output);
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Status TypeCast(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output, const DataType &data_type);
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} // namespace dataset
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} // namespace mindspore
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#endif // DATASET_KERNELS_DATA_DATA_UTILS_H_
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