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graphengine/inc/framework/common/op/ge_op_utils.h

146 lines
6.2 KiB

/**
* Copyright 2019-2020 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef INC_FRAMEWORK_COMMON_OP_GE_OP_UTILS_H_
#define INC_FRAMEWORK_COMMON_OP_GE_OP_UTILS_H_
#include <memory>
#include <vector>
#include "common/op/attr_value_util.h"
#include "register/register_types.h"
#include "register/register_error_codes.h"
#include "common/util.h"
#include "graph/attr_value.h"
#include "graph/ge_tensor.h"
#include "graph/node.h"
#include "graph/op_desc.h"
#include "proto/insert_op.pb.h"
namespace ge {
using domi::Status;
// Add Sub Mul
GE_FUNC_VISIBILITY extern const uint32_t ADD_INPUT_NUM;
GE_FUNC_VISIBILITY extern const uint32_t SUB_INPUT_NUM;
GE_FUNC_VISIBILITY extern const uint32_t MUL_INPUT_NUM;
// Permute
GE_FUNC_VISIBILITY extern const int32_t PERMUTE_ORDER_NUM;
// Ssd PriroBox
GE_FUNC_VISIBILITY extern const double SSD_PRIORBOX_ASPECT_RATIO_VALUE;
GE_FUNC_VISIBILITY extern const uint32_t STRIDEDSLICE_INPUT_NUM;
// Switch
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_INPUT_NUM;
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_OUTPUT_NUM;
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_FALSE_OUTPUT;
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_TRUE_OUTPUT;
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_DATA_INPUT;
GE_FUNC_VISIBILITY extern const uint32_t SWITCH_PRED_INPUT;
// FunctionOp
GE_FUNC_VISIBILITY extern const uint32_t IF_COND_INPUT;
GE_FUNC_VISIBILITY extern const uint32_t FOR_START_INPUT;
GE_FUNC_VISIBILITY extern const uint32_t FOR_LIMIT_INPUT;
GE_FUNC_VISIBILITY extern const uint32_t FOR_DELTA_INPUT;
GE_FUNC_VISIBILITY extern const uint32_t FOR_DATA_INPUT;
GE_FUNC_VISIBILITY extern const int NORMAL_TENSOR_SIZE;
class GE_FUNC_VISIBILITY OpUtils {
public:
///
/// @ingroup domi_ome
/// @brief Check whether check_value is in [min_enum_value, max_enum_value]
/// @return true Within
/// @return false out of range
//
static inline bool CheckEnumValid(int32_t check_value, int32_t min_enum_value, int32_t max_enum_value) {
return check_value < min_enum_value ? false : (check_value >= max_enum_value ? false : true);
}
///
/// @ingroup domi_omg
/// @brief Determine whether to manually calculate the tensor size based on the values of format and dim
/// @param [in] format, Format information of the tensor
/// @param [in] real_dim_cnt, Tensor dim
/// @return true Manually calculate the size based on dim and datatype
/// @return false skip
///
static bool IsComputDimsSize(const int32_t format, const uint32_t real_dim_cnt);
///
/// @brief Extract AIPP parameters from AttrDefMap and splice them
/// @param [in] aipp_attr attr of operator
/// @param [out] aipp_params aipp parameters
/// @return enum of tagCCAippInputFormat
///
static Status ConvertAippParams(const GeAttrValue::NamedAttrs &aipp_attr, domi::AippOpParams *aipp_params);
static Status TransferDim(const std::vector<int64_t> &dim, std::vector<int64_t> &dim_vector);
template <typename T>
static void SliceData(const std::vector<char *> &input, int64_t chunk_size, std::vector<char *> &output,
int64_t begin, int64_t out_dim, int64_t stride);
template <typename T>
static Status SetDataByDataType(size_t out_size, const std::vector<char *> &chunk_input,
const std::vector<char *> &chunk_output, GeTensor *output);
template <typename T>
static Status SetOutputSliceDataByDataType(void *data, int64_t data_size, const std::vector<int64_t> &input_dims,
const std::vector<int64_t> &begin, const std::vector<int64_t> &output_dims,
ge::GeTensor *output, const std::vector<int64_t> &stride);
static Status SetOutputSliceData(void *data, int64_t data_size, int32_t data_type, std::vector<int64_t> &input_dims,
std::vector<int64_t> &begin, std::vector<int64_t> &output_dims, ge::GeTensor *output,
std::vector<int64_t> &stride);
///
/// @ingroup domi_omg
/// @brief Convert the convolutional weight data from [h, w, c, k] to [k, c, h, w]
/// @param [in] input Weight data in HWCK format
/// @param [in] H value of H dimension
/// @param [in] W value of W dimension
/// @param [in] C value of C dimension
/// @param [in] K value of K dimension
/// @param [out] output Data pointer after conversion. The format is KCHW.
///
static void TransDataHWCK2KCHW(const void *input, int64_t H, int64_t W, int64_t C, int64_t K, void **output);
///
/// @ingroup domi_omg
/// @brief Converts the convolutional weight data from [k, c, h, w] to [h, w, c, k].
/// @param [in] input Weight data in HWCK format
/// @param [in] K value of K dimension
/// @param [in] C value of C dimension
/// @param [in] H value of H dimension
/// @param [in] W value of W dimension
/// @param [out] output Data pointer after conversion. The format is HWCK
///
static void TransDataKCHW2HWCK(const void *input, int64_t K, int64_t C, int64_t H, int64_t W, void *output);
static vector<ConstGeTensorPtr> GetWeights(const ge::Node &node);
static vector<ConstGeTensorPtr> GetWeights(ge::ConstNodePtr node);
static vector<GeTensorPtr> MutableWeights(const ge::Node &node);
static vector<GeTensorPtr> MutableWeights(const ge::NodePtr node);
static Status SetWeights(ge::Node &node, const vector<ge::GeTensorPtr> &weights);
static Status SetWeights(ge::NodePtr node, const vector<ge::GeTensorPtr> &weights);
static Status GetShapeDataFromConstTensor(const ConstGeTensorPtr &tensor, DataType type, std::vector<int64_t> &dims);
private:
static uint32_t GetRealDimCnt(const GeTensorDesc &tensor_desc);
};
} // namespace ge
#endif // INC_FRAMEWORK_COMMON_OP_GE_OP_UTILS_H_