forked from huawei/mindspore2022
242 lines
7.4 KiB
C++
242 lines
7.4 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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#ifndef TRANSFORM_UTIL_H_
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#define TRANSFORM_UTIL_H_
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#include <string>
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#include <vector>
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#include <algorithm>
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#include <memory>
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#include "securec/include/securec.h"
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#include "ir/anf.h"
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#include "ir/dtype.h"
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#include "ir/meta_tensor.h"
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#include "transform/types.h"
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#include "graph/tensor.h"
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namespace mindspore {
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namespace transform {
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class TransformUtil {
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public:
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/*
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* Parameters:
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* type: [MeDataType] the data type for ME tensor
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* Return：
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* [GeDataType] the data type for ge tensor
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* */
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static std::vector<int64_t> ConvertIntToList(int64_t data, int size);
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/*
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* Parameters:
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* type: [MeDataType] the data type for ME tensor
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* Return：
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* [GeDataType] the data type for ge tensor
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* */
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static GeDataType ConvertDataType(const MeDataType& type);
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/*
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* Parameters:
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* type: [string] the data format in ME op
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* Return：
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* [GeFormat] the data format for ge tensor
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* */
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static GeFormat ConvertFormat(const std::string& format);
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/*
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* Parameters:
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* type: [MeDataType] the data type for ME tensor
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* Return：
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* [size_t] the buff size for the type in ME
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* */
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static size_t GetDataTypeSize(const MeDataType& type);
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/*
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* Parameters:
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* tensor: [MeTensorPtr] the me tensor to get description from
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* format: [string] the data format in ME
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* is_input: [bool] whether the tensor is used as input, default:false
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* Return：
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* [shared_ptr<GeTensorDesc>] the shared pointer of ge tensor description
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* */
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static std::shared_ptr<GeTensorDesc> GetGeTensorDesc(const std::vector<int>& shape, const MeDataType& me_type,
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const std::string& format);
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/*
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* Parameters:
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* tensor: [MeTensor] the data tensor in ME
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* format: [string] the data format in ME op
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* is_input: [bool] whether the tensor is used as input, default:false
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* Return：
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* [GeTensor] the data tensor in GE
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* */
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static GeTensorPtr ConvertTensor(const MeTensorPtr& tensor, const std::string& format);
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/*
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* Parameters:
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* me_tensors: [vector<MeTensorPtr>] the data tensors in ME
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* format: [string] the data format in ME op
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* Return：
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* [std::vector<GeTensorPtr>] the data tensors in GE
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* */
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static std::vector<GeTensorPtr> ConvertInputTensors(const std::vector<MeTensorPtr>& me_tensors,
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const std::string& format);
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/*
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* Parameters:
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* tensor: [GeTensor] the data tensor in GE
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* Return：
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* [MeTensor] the data tensor in ME
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* */
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static MeTensorPtr ConvertGeTensor(const GeTensorPtr& tensor);
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/*
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* Parameters:
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* tensor: [GeTensor] the data tensor in GE
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* request_dims [std::vector<int>] the output Me tensors must adjust to this shapes
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* Return：
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* [MeTensor] the data tensor in ME
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* */
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static MeTensorPtr ConvertGeTensor(GeTensorPtr ge_tensor, const std::vector<int>& request_dims);
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/*
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* Parameters:
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* ge_tensors: [std::vector<GeTensorPtr>] the data tensor in GE
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* request_dims [std::vector<std::vector<int>>] the output Me tensors must adjust to this shapes
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* Return：
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* [std::vector<MeTensorPtr>] the data tensor in ME
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* */
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static std::vector<MeTensorPtr> ConvertGeTensors(const std::vector<GeTensorPtr>& ge_tensors,
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const std::vector<std::vector<int>>& request_dims);
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/*
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* Parameters:
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* ge_tensors: [std::vector<GeTensorPtr>] the data tensor in GE
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* Return：
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* [std::vector<MeTensorPtr>] the data tensor in ME
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* */
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static std::vector<MeTensorPtr> ConvertGeTensors(const std::vector<GeTensorPtr>& ge_tensors);
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/*
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* Parameters:
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* ge_tensor: [GeTensor] the data tensor in GE
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* me_dims: [std::vector<int>] the shape of created Me tensor
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* me_type: [TypeId] the type of created Me tensor
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* Return：
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* [MeTensor] the data tensor in ME
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* */
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static MeTensorPtr GenerateMeTensor(const GeTensorPtr& ge_tensor, const std::vector<int>& me_dims,
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const TypeId& me_type);
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/*
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* Parameters:
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* type: [GeDataType] the ge tensor data type
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* Return：
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* [MeDataType] the me tensor data type
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* */
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static MeDataType ConvertGeDataType(const GeDataType& type);
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/*
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* Parameters:
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* me_dims: [std::vector<int>] the me shape
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* Return：
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* [GeShape] the ge shape
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* */
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static GeShape ConvertMeShape(const std::vector<int>& me_dims);
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/*
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* Parameters:
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* ge_shape: [GeShape] the ge shape
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* Return：
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* [vector<int>] the me shape
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* */
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static std::vector<int> ConvertGeShape(const GeShape& ge_shape);
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/* Function:
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* Convert GeShape to Me request shape, Support pattern:
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* {1, x, 1, 1} --> {x}
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* {x, 1, 1, 1} --> {x}
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* {x, x, 1, 1} --> {x, x}
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* {x, x, x, 1} --> {x, x, x}
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* {x, x, x, x} --> {x, x, x, x}
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* If unmatch upon patterns, return original ge dims
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* Parameters:
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* ge_shape: [GeShape] the ge shape
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* request_dims: [vector<int>] request dims
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* Return：
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* [vector<int>] the me shape
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* */
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static std::vector<int> ConvertGeShape(const GeShape& ge_shape, const std::vector<int>& request_dims);
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/*
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* Parameters:
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* vec: [std::vector<int>] the vector to print
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* Return：
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* [string] value string
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* */
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template <typename T, typename = typename std::enable_if<std::is_arithmetic<T>::value>::type>
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static std::string PrintVector(const std::vector<T>& vec) {
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const int MAX_PRINT_NUM = 100;
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std::stringstream ss;
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ss << "{ ";
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int i = 0;
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for (auto it = vec.begin(); it != vec.end(); ++it) {
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ss << std::to_string(*it) << ", ";
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i++;
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if (i >= MAX_PRINT_NUM) {
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break;
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}
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}
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if (i >= MAX_PRINT_NUM) {
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ss << "... to be continue}";
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} else {
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ss << "}";
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}
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return ss.str();
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}
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/*
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* Parameters:
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* ge_tensor: [GeTensorPtr] the ge tensor
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* Return：
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* [stringstream] value string
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* */
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static std::string PrintGeTensor(const GeTensorPtr ge_tensor);
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/*
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* Parameters:
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* data: [uint8_t *] the ge tensor data pointer
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* size: [size_t] the ge tensor data bytes
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* Return：
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* [shared_ptr<std::vector<T>] vector pointer
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* */
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template <typename T, typename = typename std::enable_if<std::is_arithmetic<T>::value>::type>
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static std::vector<T> MakeVector(const uint8_t* const data, size_t size) {
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auto dest = std::vector<T>(size / sizeof(T));
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if (data == nullptr) {
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return dest;
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}
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errno_t ret = memcpy_s(dest.data(), dest.size() * sizeof(T), data, size);
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if (EOK != ret) {
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return std::vector<T>();
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}
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return dest;
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}
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};
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} // namespace transform
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} // namespace mindspore
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#endif // TRANSFORM_UTIL_H_
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