op_param.h

Go to the documentation of this file.

 
#ifndef _NNDEPLOY_IR_OP_PARAM_H_
#define _NNDEPLOY_IR_OP_PARAM_H_
 
#include "nndeploy/base/any.h"
#include "nndeploy/base/common.h"
#include "nndeploy/base/glic_stl_include.h"
#include "nndeploy/base/log.h"
#include "nndeploy/base/macro.h"
#include "nndeploy/base/object.h"
#include "nndeploy/base/param.h"
#include "nndeploy/base/rapidjson_include.h"
#include "nndeploy/base/status.h"
#include "nndeploy/base/string.h"
#include "nndeploy/device/tensor.h"
#include "rapidjson/document.h"
#include "rapidjson/stringbuffer.h"
#include "rapidjson/writer.h"
 
#ifdef _MSC_VER
#pragma warning(push)            // 保存当前警告状态
#pragma warning(disable : 4267)  // 禁用 C4267 警告
#endif
 
namespace nndeploy {
namespace ir {
enum OpType : int {
  kOpTypeNet = 0x0000,
 
  kOpTypeAbs,
  kOpTypeAdd,
  kOpTypeAcos,
  kOpTypeAdam,
  kOpTypeAnd,
  kOpTypeArgMax,
  kOpTypeArgMin,
  kOpTypeAsin,
  kOpTypeAtan,
  kOpTypeAveragePool,
  kOpTypeBatchNormalization,
  kOpTypeCast,
  kOpTypeCeil,
  kOpTypeClip,
  kOpTypeConcat,
  kOpTypeConstant, // 该算子转换为权重
  kOpTypeConv,
  kOpTypeCos,
  kOpTypeCosh,
  kOpTypeConstantOfShape,
  kOpTypeDepthToSpace,
  kOpTypeDequantizeLinear,
  kOpTypeDet,
  kOpTypeDiv,
  kOpTypeDropout,
  kOpTypeEinsum,
  kOpTypeElu,
  kOpTypeEqual,
  kOpTypeErf,
  kOpTypeExp,
  kOpTypeExpand,
  kOpTypeFlatten,
  kOpTypeFloor,
  kOpTypeGather,
  kOpTypeGelu,
  kOpTypeGemm,
  kOpTypeGlobalAveragePool,
  kOpTypeGlobalLpPool,
  kOpTypeGlobalMaxPool,
  kOpTypeGreater,
  kOpTypeHardSigmoid,
  kOpTypeIdentity,
  kOpTypeIf,
  kOpTypeImageScaler,
  kOpTypeInstanceNormalization,
  kOpTypeIsInf,
  kOpTypeIsNaN,
  kOpTypeLRN,
  kOpTypeLSTM,
  kOpTypeLeakyRelu,
  kOpTypeLess,
  kOpTypeLog,
  kOpTypeLogSoftmax,
  kOpTypeLoop,
  kOpTypeLpNormalization,
  kOpTypeLpPool,
  kOpTypeMatMul,
  kOpTypeMatMulInteger,
  kOpTypeMax,
  kOpTypeMaxPool,
  kOpTypeMaxRoiPool,
  kOpTypeMaxUnpool,
  kOpTypeMean,
  kOpTypeMin,
  kOpTypeMod,
  kOpTypeMomentum,
  kOpTypeMul,
  kOpTypeMuls,
  kOpTypeMultinomial,
  kOpTypeNeg,
  kOpTypeNegLogSoftmax,
  kOpTypeNonMaxSuppression,
  kOpTypeNonZero,
  kOpTypeNot,
  kOpTypeOneHot,
  kOpTypeOnesLike,
  kOpTypeOr,
  kOpTypePad,
  kOpTypePow,
  kOpTypePRelu,
  kOpTypeQLinearConv,
  kOpTypeQLinearMatMul,
  kOpTypeQuantizeLinear,
  kOpTypeRNN,
  kOpTypeRandomNormal,
  kOpTypeRandomNormalLike,
  kOpTypeRandomUniform,
  kOpTypeRandomUniformLike,
  kOpTypeRange,
  kOpTypeReciprocal,
  kOpTypeReduceL1,
  kOpTypeReduceL2,
  kOpTypeReduceLogSum,
  kOpTypeReduceLogSumExp,
  kOpTypeReduceMax,
  kOpTypeReduceMean,
  kOpTypeReduceMin,
  kOpTypeReduceProd,
  kOpTypeReduceSum,
  kOpTypeReduceSumSquare,
  kOpTypeRelu,
  kOpTypeReshape,
  kOpTypeResize,
  kOpTypeReverseSequence,
  kOpTypeRoiAlign,
  kOpTypeRound,
  kOpTypeScale,
  kOpTypeScan,
  kOpTypeScatter,
  kOpTypeSelu,
  kOpTypeSequenceAt,
  kOpTypeSequenceConstruct,
  kOpTypeSequenceEmpty,
  kOpTypeSequenceErase,
  kOpTypeSequenceInsert,
  kOpTypeSequenceLength,
  kOpTypeShape,
  kOpTypeShrink,
  kOpTypeSigmoid,
  kOpTypeSign,
  kOpTypeSin,
  kOpTypeSinh,
  kOpTypeSize,
  kOpTypeSlice,
  kOpTypeSoftmax,
  kOpTypeSoftplus,
  kOpTypeSoftsign,
  kOpTypeSpaceToDepth,
  kOpTypeSplit,
  kOpTypeSqrt,
  kOpTypeSqueeze,
  kOpTypeSub,
  kOpTypeSum,
  kOpTypeTan,
  kOpTypeTanh,
  kOpTypeTfIdf,
  kOpTypeThresholdedRelu,
  kOpTypeTile,
  kOpTypeTopK,
  kOpTypeTranspose,
  kOpTypeUnsqueeze,
  kOpTypeUpsample,
  kOpTypeWhere,
  kOpTypeXor,
 
  kOpTypeRMSNorm,
  kOpTypeEmbedding,
 
  kOpTypeNone,
};
 
NNDEPLOY_CC_API std::string opTypeToString(OpType op_type);
 
NNDEPLOY_CC_API OpType stringToOpType(const std::string &op_type_name);
 
class OpParamCreator {
 public:
  virtual ~OpParamCreator() {};
  virtual std::shared_ptr<base::Param> createOpParam(OpType type) = 0;
};
 
template <typename T>
class TypeOpParamCreator : public OpParamCreator {
  virtual std::shared_ptr<base::Param> createOpParam(OpType type) {
    return std::make_shared<T>();
  }
};
 
extern NNDEPLOY_CC_API std::map<OpType, std::shared_ptr<OpParamCreator>> &
getGlobalOpParamCreatorMap();
 
template <typename T>
class TypeOpParamRegister {
 public:
  explicit TypeOpParamRegister(OpType type) {
    getGlobalOpParamCreatorMap()[type] = std::shared_ptr<T>(new T());
  }
};
 
extern NNDEPLOY_CC_API std::shared_ptr<base::Param> createOpParam(
    OpType op_type);
 
#define REGISTER_OP_PARAM_IMPLEMENTION(op_type, op_param_class) \
  TypeOpParamRegister<TypeOpParamCreator<op_param_class>>       \
      g_##op_type##_##op_param_class##_register(op_type);
 
class NNDEPLOY_CC_API OpParam : public base::Param {
 public:
  OpParam() : base::Param(), reserved_(0) {};
  virtual ~OpParam() {};
 
  PARAM_COPY(OpParam)
  PARAM_COPY_TO(OpParam)
 
 public:
  // 保留字段,也可以充void *使用
  size_t reserved_;
};
 
class NNDEPLOY_CC_API BatchNormalizationParam : public OpParam {
 public:
  BatchNormalizationParam() : OpParam() {};
  virtual ~BatchNormalizationParam() {};
 
  PARAM_COPY(BatchNormalizationParam)
  PARAM_COPY_TO(BatchNormalizationParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("epsilon_", epsilon_, allocator);
    json.AddMember("momentum_", momentum_, allocator);
    json.AddMember("training_mode_", training_mode_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("epsilon_")) {
      epsilon_ = json["epsilon_"].GetFloat();
    } else {
      epsilon_ = 1e-05f;  // 默认值
    }
 
    if (json.HasMember("momentum_")) {
      momentum_ = json["momentum_"].GetFloat();
    } else {
      momentum_ = 0.9f;  // 默认值
    }
 
    if (json.HasMember("training_mode_")) {
      training_mode_ = json["training_mode_"].GetInt();
    } else {
      training_mode_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  // The epsilon value to use to avoid division by zero.
  float epsilon_ = 1e-05f;
  // Factor used in computing the running mean and variance.e.g., running_mean =
  // running_mean * momentum + mean * (1 - momentum).
  float momentum_ = 0.9f;
  int training_mode_ = 0;
};
 
class ConcatParam : public OpParam {
 public:
  ConcatParam() : OpParam() {};
  virtual ~ConcatParam() {};
 
  PARAM_COPY(ConcatParam)
  PARAM_COPY_TO(ConcatParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 1;
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 1;  // 拼接的维度
};
 
class MatMulParam : public OpParam {
 public:
  MatMulParam() : OpParam() {};
  virtual ~MatMulParam() {};
 
  PARAM_COPY(MatMulParam)
  PARAM_COPY_TO(MatMulParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("transposeA_", transposeA_, allocator);
    json.AddMember("transposeB_", transposeB_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("transposeA_")) {
      transposeA_ = json["transposeA_"].GetBool();
    } else {
      transposeA_ = false;
    }
    if (json.HasMember("transposeB_")) {
      transposeB_ = json["transposeB_"].GetBool();
    } else {
      transposeB_ = false;
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  bool transposeA_ = false;  // 是否转置A矩阵
  bool transposeB_ = false;  // 是否转置A矩阵
};
 
class NNDEPLOY_CC_API ConvParam : public OpParam {
 public:
  // 构造函数
  ConvParam() : OpParam() {}
  virtual ~ConvParam() {}
 
  PARAM_COPY(ConvParam)
  PARAM_COPY_TO(ConvParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("auto_pad_", rapidjson::Value(auto_pad_.c_str(), allocator),
                   allocator);
    json.AddMember("dilations_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < dilations_.size(); ++i) {
      json["dilations_"].PushBack(dilations_[i], allocator);
    }
    json.AddMember("group_", group_, allocator);
    json.AddMember("kernel_shape_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < kernel_shape_.size(); ++i) {
      json["kernel_shape_"].PushBack(kernel_shape_[i], allocator);
    }
    json.AddMember("pads_", rapidjson::Value(rapidjson::kArrayType), allocator);
    for (size_t i = 0; i < pads_.size(); ++i) {
      json["pads_"].PushBack(pads_[i], allocator);
    }
    json.AddMember("strides_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < strides_.size(); ++i) {
      json["strides_"].PushBack(strides_[i], allocator);
    }
    json.AddMember(
        "activate_op_",
        rapidjson::Value(opTypeToString(activate_op_).c_str(), allocator),
        allocator);
    if (activate_op_ != kOpTypeNone && fused_op_param_ != nullptr) {
      rapidjson::Value op_desc_json(rapidjson::kObjectType);
      fused_op_param_->serialize(op_desc_json, allocator);
      json.AddMember("fused_op_param_", op_desc_json, allocator);
    }
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("auto_pad_")) {
      auto_pad_ = json["auto_pad_"].GetString();
    } else {
      auto_pad_ = "NOTSET";
    }
 
    if (json.HasMember("dilations_")) {
      dilations_.clear();
      for (size_t i = 0; i < json["dilations_"].Size(); ++i) {
        dilations_.push_back(json["dilations_"][i].GetInt());
      }
    } else {
      dilations_ = {1, 1};
    }
 
    if (json.HasMember("group_")) {
      group_ = json["group_"].GetInt();
    } else {
      group_ = 1;
    }
 
    if (json.HasMember("kernel_shape_")) {
      kernel_shape_.clear();
      for (size_t i = 0; i < json["kernel_shape_"].Size(); ++i) {
        kernel_shape_.push_back(json["kernel_shape_"][i].GetInt());
      }
    } else {
      kernel_shape_.clear();
    }
 
    if (json.HasMember("pads_")) {
      pads_.clear();
      for (size_t i = 0; i < json["pads_"].Size(); ++i) {
        pads_.push_back(json["pads_"][i].GetInt());
      }
    } else {
      pads_ = {0, 0, 0, 0};
    }
 
    if (json.HasMember("strides_")) {
      strides_.clear();
      for (size_t i = 0; i < json["strides_"].Size(); ++i) {
        strides_.push_back(json["strides_"][i].GetInt());
      }
    } else {
      strides_ = {1, 1};
    }
 
    if (json.HasMember("activate_op_")) {
      activate_op_ = stringToOpType(json["activate_op_"].GetString());
      fused_op_param_ = createOpParam(activate_op_);
      if (json.HasMember("fused_op_param_")) {
        fused_op_param_->deserialize(json["fused_op_param_"]);
      }
    } else {
      activate_op_ = kOpTypeNone;
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  // 自动填充方式
  std::string auto_pad_ = "NOTSET";
  // 扩张系数
  std::vector<int> dilations_ = {1, 1};
  // 组数
  int group_ = 1;
  // 卷积核大小
  std::vector<int> kernel_shape_;
  // 填充大小
  std::vector<int> pads_ = {0, 0, 0, 0};
  // 卷积步长
  std::vector<int> strides_ = {1, 1};
 
  // 服务与算子融合
  OpType activate_op_ = kOpTypeNone;
  // OpParam* fused_op_param_ = nullptr;
  std::shared_ptr<base::Param> fused_op_param_ = nullptr;
};
// MaxPool 参数类
class NNDEPLOY_CC_API MaxPoolParam : public OpParam {
 public:
  MaxPoolParam() : OpParam() {}
  virtual ~MaxPoolParam() {}
 
  PARAM_COPY(MaxPoolParam)
  PARAM_COPY_TO(MaxPoolParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("auto_pad_", rapidjson::Value(auto_pad_.c_str(), allocator),
                   allocator);
    json.AddMember("ceil_mode_", ceil_mode_, allocator);
    rapidjson::Value dilations_array(rapidjson::kArrayType);
    for (size_t i = 0; i < dilations_.size(); ++i) {
      dilations_array.PushBack(dilations_[i], allocator);
    }
    json.AddMember("dilations_", dilations_array, allocator);
 
    rapidjson::Value kernel_shape_array(rapidjson::kArrayType);
    for (size_t i = 0; i < kernel_shape_.size(); ++i) {
      kernel_shape_array.PushBack(kernel_shape_[i], allocator);
    }
    json.AddMember("kernel_shape_", kernel_shape_array, allocator);
 
    rapidjson::Value pads_array(rapidjson::kArrayType);
    for (size_t i = 0; i < pads_.size(); ++i) {
      pads_array.PushBack(pads_[i], allocator);
    }
    json.AddMember("pads_", pads_array, allocator);
 
    json.AddMember("storage_order_", storage_order_, allocator);
 
    rapidjson::Value strides_array(rapidjson::kArrayType);
    for (size_t i = 0; i < strides_.size(); ++i) {
      strides_array.PushBack(strides_[i], allocator);
    }
    json.AddMember("strides_", strides_array, allocator);
 
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("auto_pad_")) {
      auto_pad_ = json["auto_pad_"].GetString();
    } else {
      auto_pad_ = "NOTSET";
    }
 
    if (json.HasMember("ceil_mode_")) {
      ceil_mode_ = json["ceil_mode_"].GetInt();
    } else {
      ceil_mode_ = 0;
    }
 
    if (json.HasMember("dilations_")) {
      dilations_.clear();
      for (size_t i = 0; i < json["dilations_"].Size(); ++i) {
        dilations_.push_back(json["dilations_"][i].GetInt());
      }
    } else {
      dilations_ = {1, 1};
    }
 
    if (json.HasMember("kernel_shape_")) {
      kernel_shape_.clear();
      for (size_t i = 0; i < json["kernel_shape_"].Size(); ++i) {
        kernel_shape_.push_back(json["kernel_shape_"][i].GetInt());
      }
    } else {
      kernel_shape_.clear();
    }
 
    if (json.HasMember("pads_")) {
      pads_.clear();
      for (size_t i = 0; i < json["pads_"].Size(); ++i) {
        pads_.push_back(json["pads_"][i].GetInt());
      }
    } else {
      pads_ = {0, 0, 0, 0};
    }
 
    if (json.HasMember("storage_order_")) {
      storage_order_ = json["storage_order_"].GetInt();
    } else {
      storage_order_ = 0;
    }
 
    if (json.HasMember("strides_")) {
      strides_.clear();
      for (size_t i = 0; i < json["strides_"].Size(); ++i) {
        strides_.push_back(json["strides_"][i].GetInt());
      }
    } else {
      strides_ = {1, 1};
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  std::string auto_pad_ = "NOTSET";       // 自动填充方式
  int ceil_mode_ = 0;                     // 是否向上取整
  std::vector<int> dilations_ = {1, 1};   // 扩张系数
  std::vector<int> kernel_shape_;         // 池化核大小
  std::vector<int> pads_ = {0, 0, 0, 0};  // 填充大小
  int storage_order_ = 0;                 // 存储顺序
  std::vector<int> strides_ = {1, 1};     // 步长
};
 
// Reshape 参数类
class NNDEPLOY_CC_API ReshapeParam : public OpParam {
 public:
  ReshapeParam() : OpParam() {}
  virtual ~ReshapeParam() {}
 
  PARAM_COPY(ReshapeParam)
  PARAM_COPY_TO(ReshapeParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("allowzero_", allowzero_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("allowzero_")) {
      allowzero_ = json["allowzero_"].GetInt();
    } else {
      allowzero_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int allowzero_ = 0;  // 是否允许0
};
 
// Resize 参数类 - opset 18~19
class NNDEPLOY_CC_API ResizeParam : public OpParam {
 public:
  ResizeParam() : OpParam() {}
  virtual ~ResizeParam() {}
 
  PARAM_COPY(ResizeParam)
  PARAM_COPY_TO(ResizeParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("antialias_", antialias_, allocator);
    json.AddMember("axes_", axes_, allocator);
    json.AddMember(
        "coordinate_transformation_mode_",
        rapidjson::Value(coordinate_transformation_mode_.c_str(), allocator),
        allocator);
    json.AddMember("cubic_coeff_a_", cubic_coeff_a_, allocator);
    json.AddMember("exclude_outside_", exclude_outside_, allocator);
    json.AddMember("extrapolation_value_", extrapolation_value_, allocator);
    json.AddMember(
        "keep_aspect_ratio_policy_",
        rapidjson::Value(keep_aspect_ratio_policy_.c_str(), allocator),
        allocator);
    json.AddMember("mode_", rapidjson::Value(mode_.c_str(), allocator),
                   allocator);
    json.AddMember("nearest_mode_",
                   rapidjson::Value(nearest_mode_.c_str(), allocator),
                   allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("antialias_")) {
      antialias_ = json["antialias_"].GetInt();
    } else {
      antialias_ = 0;  // 默认值
    }
 
    if (json.HasMember("axes_")) {
      axes_ = json["axes_"].GetInt();
    } else {
      axes_ = INT_MAX;  // 默认值
    }
 
    if (json.HasMember("coordinate_transformation_mode_")) {
      coordinate_transformation_mode_ =
          json["coordinate_transformation_mode_"].GetString();
    } else {
      coordinate_transformation_mode_ = "half_pixel";  // 默认值
    }
 
    if (json.HasMember("cubic_coeff_a_")) {
      cubic_coeff_a_ = json["cubic_coeff_a_"].GetFloat();
    } else {
      cubic_coeff_a_ = -0.75;  // 默认值
    }
 
    if (json.HasMember("exclude_outside_")) {
      exclude_outside_ = json["exclude_outside_"].GetInt();
    } else {
      exclude_outside_ = 0;  // 默认值
    }
 
    if (json.HasMember("extrapolation_value_")) {
      extrapolation_value_ = json["extrapolation_value_"].GetFloat();
    } else {
      extrapolation_value_ = -0.0;  // 默认值
    }
 
    if (json.HasMember("keep_aspect_ratio_policy_")) {
      keep_aspect_ratio_policy_ = json["keep_aspect_ratio_policy_"].GetString();
    } else {
      keep_aspect_ratio_policy_ = "stretch";  // 默认值
    }
 
    if (json.HasMember("mode_")) {
      mode_ = json["mode_"].GetString();
    } else {
      mode_ = "nearest";  // 默认值
    }
 
    if (json.HasMember("nearest_mode_")) {
      nearest_mode_ = json["nearest_mode_"].GetString();
    } else {
      nearest_mode_ = "round_prefer_floor";  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int antialias_ = 0;
  int axes_ = INT_MAX;  // 轴，当为INT_MAX时，表示未设置
  std::string coordinate_transformation_mode_ = "half_pixel";
  float cubic_coeff_a_ = -0.75;
  int exclude_outside_ = 0;
  float extrapolation_value_ = -0.0;
  std::string keep_aspect_ratio_policy_ = "stretch";
  std::string mode_ = "nearest";
  std::string nearest_mode_ = "round_prefer_floor";
};
 
// Softmax 参数类
class NNDEPLOY_CC_API SoftmaxParam : public OpParam {
 public:
  SoftmaxParam() : OpParam() {}
  virtual ~SoftmaxParam() {}
 
  PARAM_COPY(SoftmaxParam)
  PARAM_COPY_TO(SoftmaxParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = -1;
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = -1;  // 应用 Softmax 的轴
};
 
// Split 参数类
class NNDEPLOY_CC_API SplitParam : public OpParam {
 public:
  SplitParam() : OpParam() {}  // 默认轴为0，分割数为1
  virtual ~SplitParam() {}
 
  PARAM_COPY(SplitParam)
  PARAM_COPY_TO(SplitParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    json.AddMember("num_outputs_", num_outputs_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 0;  // 默认值
    }
 
    if (json.HasMember("num_outputs_")) {
      num_outputs_ = json["num_outputs_"].GetInt();
    } else {
      num_outputs_ = INT_MAX;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 0;               // 分割轴
  int num_outputs_ = INT_MAX;  // 分割数
};
 
// Transpose 参数类
class NNDEPLOY_CC_API TransposeParam : public OpParam {
 public:
  TransposeParam() : OpParam() {}  // 默认轴为0，分割数为1
  virtual ~TransposeParam() {}
 
  PARAM_COPY(TransposeParam)
  PARAM_COPY_TO(TransposeParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    rapidjson::Value permArray(rapidjson::kArrayType);
    for (size_t i = 0; i < perm_.size(); ++i) {
      permArray.PushBack(perm_[i], allocator);
    }
    json.AddMember("perm_", permArray, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("perm_")) {
      perm_.clear();
      for (size_t i = 0; i < json["perm_"].Size(); ++i) {
        perm_.push_back(json["perm_"][i].GetInt());
      }
    } else {
      perm_.clear();  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  std::vector<int> perm_;
};
 
class NNDEPLOY_CC_API RMSNormParam : public OpParam {
 public:
  RMSNormParam() : OpParam() {}  // 默认轴为0，分割数为1
  virtual ~RMSNormParam() {}
 
  PARAM_COPY(RMSNormParam)
  PARAM_COPY_TO(RMSNormParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("eps_", eps_, allocator);
    json.AddMember("is_last_", is_last_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("eps_")) {
      eps_ = json["eps_"].GetFloat();
    } else {
      eps_ = 1e-6f;  // 默认值
    }
 
    if (json.HasMember("is_last_")) {
      is_last_ = json["is_last_"].GetBool();
    } else {
      is_last_ = false;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  float eps_ = 1e-6f;
  bool is_last_ = false;
};
 
class NNDEPLOY_CC_API FlattenParam : public OpParam {
 public:
  FlattenParam() : OpParam() {};
  virtual ~FlattenParam() {};
 
  PARAM_COPY(FlattenParam)
  PARAM_COPY_TO(FlattenParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 1;
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 1;
};
 
class NNDEPLOY_CC_API EmbeddingParam : public OpParam {
 public:
  EmbeddingParam() : OpParam() {};
  virtual ~EmbeddingParam() {};
 
  PARAM_COPY(EmbeddingParam)
  PARAM_COPY_TO(EmbeddingParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    return base::kStatusCodeOk;
  }
};
 
class NNDEPLOY_CC_API GemmParam : public OpParam {
 public:
  GemmParam() : OpParam() {};
  virtual ~GemmParam() {};
 
  PARAM_COPY(GemmParam)
  PARAM_COPY_TO(GemmParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("alpha_", alpha_, allocator);
    json.AddMember("beta_", beta_, allocator);
    json.AddMember("trans_a_", trans_a_, allocator);
    json.AddMember("trans_b_", trans_b_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("alpha_")) {
      alpha_ = json["alpha_"].GetFloat();
    } else {
      alpha_ = 1.0;  // 默认值
    }
 
    if (json.HasMember("beta_")) {
      beta_ = json["beta_"].GetFloat();
    } else {
      beta_ = 1.0;  // 默认值
    }
 
    if (json.HasMember("trans_a_")) {
      trans_a_ = json["trans_a_"].GetInt();
    } else {
      trans_a_ = 0;  // 默认值
    }
 
    if (json.HasMember("trans_b_")) {
      trans_b_ = json["trans_b_"].GetInt();
    } else {
      trans_b_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  float alpha_ = 1.0;  // 默认值为1.0
  float beta_ = 1.0;   // 默认值为1.0
  int trans_a_ = 0;    // 默认值为0
  int trans_b_ = 0;    // 默认值为0
};
 
class NNDEPLOY_CC_API QuantizeLinearParam : public OpParam {
 public:
  QuantizeLinearParam() : OpParam() {}
  virtual ~QuantizeLinearParam() {}
 
  PARAM_COPY(QuantizeLinearParam)
  PARAM_COPY_TO(QuantizeLinearParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    json.AddMember("saturate_", saturate_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 1;  // 默认值
    }
 
    if (json.HasMember("saturate_")) {
      saturate_ = json["saturate_"].GetInt();
    } else {
      saturate_ = 1;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 1;      // 量化维度，默认为1
  int saturate_ = 1;  // 是否饱和，默认为1
};
 
class NNDEPLOY_CC_API DequantizeLinearParam : public OpParam {
 public:
  DequantizeLinearParam() : OpParam() {}
  virtual ~DequantizeLinearParam() {}
 
  PARAM_COPY(DequantizeLinearParam)
  PARAM_COPY_TO(DequantizeLinearParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 1;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 1;  // 反量化维度，默认为1
};
 
class NNDEPLOY_CC_API QLinearConvParam : public OpParam {
 public:
  // 构造函数
  QLinearConvParam() : OpParam() {}
  virtual ~QLinearConvParam() {}
 
  PARAM_COPY(QLinearConvParam)
  PARAM_COPY_TO(QLinearConvParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("auto_pad_", rapidjson::Value(auto_pad_.c_str(), allocator),
                   allocator);
    json.AddMember("dilations_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < dilations_.size(); ++i) {
      json["dilations_"].PushBack(dilations_[i], allocator);
    }
    json.AddMember("group_", group_, allocator);
    json.AddMember("kernel_shape_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < kernel_shape_.size(); ++i) {
      json["kernel_shape_"].PushBack(kernel_shape_[i], allocator);
    }
    json.AddMember("pads_", rapidjson::Value(rapidjson::kArrayType), allocator);
    for (size_t i = 0; i < pads_.size(); ++i) {
      json["pads_"].PushBack(pads_[i], allocator);
    }
    json.AddMember("strides_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < strides_.size(); ++i) {
      json["strides_"].PushBack(strides_[i], allocator);
    }
 
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("auto_pad_")) {
      auto_pad_ = json["auto_pad_"].GetString();
    } else {
      auto_pad_ = "NOTSET";
    }
 
    if (json.HasMember("dilations_")) {
      dilations_.clear();
      for (size_t i = 0; i < json["dilations_"].Size(); ++i) {
        dilations_.push_back(json["dilations_"][i].GetInt());
      }
    } else {
      dilations_ = {1, 1};
    }
 
    if (json.HasMember("group_")) {
      group_ = json["group_"].GetInt();
    } else {
      group_ = 1;
    }
 
    if (json.HasMember("kernel_shape_")) {
      kernel_shape_.clear();
      for (size_t i = 0; i < json["kernel_shape_"].Size(); ++i) {
        kernel_shape_.push_back(json["kernel_shape_"][i].GetInt());
      }
    } else {
      kernel_shape_.clear();
    }
 
    if (json.HasMember("pads_")) {
      pads_.clear();
      for (size_t i = 0; i < json["pads_"].Size(); ++i) {
        pads_.push_back(json["pads_"][i].GetInt());
      }
    } else {
      pads_ = {0, 0, 0, 0};
    }
 
    if (json.HasMember("strides_")) {
      strides_.clear();
      for (size_t i = 0; i < json["strides_"].Size(); ++i) {
        strides_.push_back(json["strides_"][i].GetInt());
      }
    } else {
      strides_ = {1, 1};
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  // 自动填充方式
  std::string auto_pad_ = "NOTSET";
  // 扩张系数
  std::vector<int> dilations_ = {1, 1};
  // 组数
  int group_ = 1;
  // 卷积核大小
  std::vector<int> kernel_shape_;
  // 填充大小
  std::vector<int> pads_ = {0, 0, 0, 0};
  // 卷积步长
  std::vector<int> strides_ = {1, 1};
};
 
class NNDEPLOY_CC_API AveragePoolParam : public OpParam {
 public:
  // 构造函数
  AveragePoolParam() : OpParam() {}
  virtual ~AveragePoolParam() {}
 
  PARAM_COPY(AveragePoolParam)
  PARAM_COPY_TO(AveragePoolParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("auto_pad_", rapidjson::Value(auto_pad_.c_str(), allocator),
                   allocator);
    json.AddMember("ceil_mode_", ceil_mode_, allocator);
    json.AddMember("count_include_pad_",
                   rapidjson::Value(count_include_pad_.c_str(), allocator),
                   allocator);
    json.AddMember("dilations_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < dilations_.size(); ++i) {
      json["dilations_"].PushBack(dilations_[i], allocator);
    }
    json.AddMember("kernel_shape_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < kernel_shape_.size(); ++i) {
      json["kernel_shape_"].PushBack(kernel_shape_[i], allocator);
    }
    json.AddMember("pads_", rapidjson::Value(rapidjson::kArrayType), allocator);
    for (size_t i = 0; i < pads_.size(); ++i) {
      json["pads_"].PushBack(pads_[i], allocator);
    }
    json.AddMember("strides_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    for (size_t i = 0; i < strides_.size(); ++i) {
      json["strides_"].PushBack(strides_[i], allocator);
    }
    return base::kStatusCodeOk;
  }
 
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("auto_pad_")) {
      auto_pad_ = json["auto_pad_"].GetString();
    } else {
      auto_pad_ = "NOTSET";
    }
 
    if (json.HasMember("ceil_mode_")) {
      ceil_mode_ = json["ceil_mode_"].GetInt();
    } else {
      ceil_mode_ = 0;
    }
 
    if (json.HasMember("count_include_pad_")) {
      count_include_pad_ = json["count_include_pad_"].GetString();
    } else {
      count_include_pad_ = "EXCLUDE";
    }
 
    if (json.HasMember("dilations_")) {
      dilations_.clear();
      for (size_t i = 0; i < json["dilations_"].Size(); ++i) {
        dilations_.push_back(json["dilations_"][i].GetInt());
      }
    } else {
      dilations_ = {1, 1};
    }
 
    if (json.HasMember("kernel_shape_")) {
      kernel_shape_.clear();
      for (size_t i = 0; i < json["kernel_shape_"].Size(); ++i) {
        kernel_shape_.push_back(json["kernel_shape_"][i].GetInt());
      }
    } else {
      kernel_shape_.clear();
    }
 
    if (json.HasMember("pads_")) {
      pads_.clear();
      for (size_t i = 0; i < json["pads_"].Size(); ++i) {
        pads_.push_back(json["pads_"][i].GetInt());
      }
    } else {
      pads_ = {0, 0, 0, 0};
    }
 
    if (json.HasMember("strides_")) {
      strides_.clear();
      for (size_t i = 0; i < json["strides_"].Size(); ++i) {
        strides_.push_back(json["strides_"][i].GetInt());
      }
    } else {
      strides_ = {1, 1};
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  // 自动填充方式
  std::string auto_pad_ = "NOTSET";
  // 是否向上取整
  int ceil_mode_ = 0;
  // 计算方式
  std::string count_include_pad_ = "EXCLUDE";
  // 扩张系数
  std::vector<int> dilations_ = {1, 1};
  // 平均池化的核大小
  std::vector<int> kernel_shape_;
  // 填充大小
  std::vector<int> pads_ = {0, 0, 0, 0};
  // 平均池化的步长
  std::vector<int> strides_ = {1, 1};
};
 
class NNDEPLOY_CC_API CastParam : public OpParam {
 public:
  CastParam() : OpParam() {}
  virtual ~CastParam() {}
 
  PARAM_COPY(CastParam)
  PARAM_COPY_TO(CastParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("saturate_", saturate_, allocator);
    json.AddMember("to_", rapidjson::Value(rapidjson::kArrayType), allocator);
    json["to_"].PushBack(static_cast<int32_t>(to_.code_), allocator);
    json["to_"].PushBack(static_cast<int32_t>(to_.bits_), allocator);
    json["to_"].PushBack(static_cast<int32_t>(to_.lanes_), allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("saturate_")) {
      saturate_ = json["saturate_"].GetInt();
    } else {
      saturate_ = 1;
    }
 
    if (json.HasMember("to_")) {
      to_.code_ = json["to_"][0].GetInt();
      to_.bits_ = json["to_"][1].GetInt();
      to_.lanes_ = json["to_"][2].GetInt();
    } else {
      to_ = base::dataTypeOf<float>();
    }
 
    return base::kStatusCodeOk;
  };
 
 public:
  int saturate_ =
      1;  // https://onnx.org.cn/onnx/operators/onnx__Cast.html#cast-19
  base::DataType to_;  // 输入张量元素将被转换为的数据类型。
};
 
class NNDEPLOY_CC_API UnsqueezeParam : public OpParam {
 public:
  UnsqueezeParam() : OpParam() {}
  virtual ~UnsqueezeParam() {}
 
  PARAM_COPY(UnsqueezeParam)
  PARAM_COPY_TO(UnsqueezeParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axes_", axes_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axes_")) {
      axes_ = json["axes_"].GetInt();
    } else {
      axes_ = 0;  // 默认值
    }
    return base::kStatusCodeOk;
  }
 
 public:
  int axes_ = 0;  // 指定在哪些维度上增加维度，默认值为0
};
 
class NNDEPLOY_CC_API GatherParam : public OpParam {
 public:
  GatherParam() : OpParam() {}  // 默认构造函数
  virtual ~GatherParam() {}
 
  PARAM_COPY(GatherParam)
  PARAM_COPY_TO(GatherParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("axis_", axis_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("axis_")) {
      axis_ = json["axis_"].GetInt();
    } else {
      axis_ = 0;  // 默认值
    }
    return base::kStatusCodeOk;
  }
 
 public:
  int axis_ = 0;  // 用于收集的轴，默认值为0
};
 
class NNDEPLOY_CC_API ReduceMeanParam : public OpParam {
 public:
  ReduceMeanParam() : OpParam() {}
  virtual ~ReduceMeanParam() {}
 
  PARAM_COPY(ReduceMeanParam)
  PARAM_COPY_TO(ReduceMeanParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("keepdims_", keepdims_, allocator);
    json.AddMember("noop_with_empty_axes_", noop_with_empty_axes_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("keepdims_")) {
      keepdims_ = json["keepdims_"].GetInt();
    } else {
      keepdims_ = 1;  // 默认值
    }
 
    if (json.HasMember("noop_with_empty_axes_")) {
      noop_with_empty_axes_ = json["noop_with_empty_axes_"].GetInt();
    } else {
      noop_with_empty_axes_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int keepdims_ = 1;              // 是否保留被约简的维度，默认为1
  int noop_with_empty_axes_ = 0;  // 当axes为空时的行为，默认为0
};
 
class NNDEPLOY_CC_API ReduceMaxParam : public OpParam {
 public:
  ReduceMaxParam() : OpParam() {}
  virtual ~ReduceMaxParam() {}
 
  PARAM_COPY(ReduceMaxParam)
  PARAM_COPY_TO(ReduceMaxParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("keepdims_", keepdims_, allocator);
    json.AddMember("noop_with_empty_axes_", noop_with_empty_axes_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("keepdims_")) {
      keepdims_ = json["keepdims_"].GetInt();
    } else {
      keepdims_ = 1;  // 默认值
    }
 
    if (json.HasMember("noop_with_empty_axes_")) {
      noop_with_empty_axes_ = json["noop_with_empty_axes_"].GetInt();
    } else {
      noop_with_empty_axes_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int keepdims_ = 1;              // 是否保留被约简的维度，默认为1
  int noop_with_empty_axes_ = 0;  // 当axes为空时的行为，默认为0
};
 
class NNDEPLOY_CC_API ReduceMinParam : public OpParam {
 public:
  ReduceMinParam() : OpParam() {}
  virtual ~ReduceMinParam() {}
 
  PARAM_COPY(ReduceMinParam)
  PARAM_COPY_TO(ReduceMinParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("keepdims_", keepdims_, allocator);
    json.AddMember("noop_with_empty_axes_", noop_with_empty_axes_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("keepdims_")) {
      keepdims_ = json["keepdims_"].GetInt();
    } else {
      keepdims_ = 1;  // 默认值
    }
 
    if (json.HasMember("noop_with_empty_axes_")) {
      noop_with_empty_axes_ = json["noop_with_empty_axes_"].GetInt();
    } else {
      noop_with_empty_axes_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int keepdims_ = 1;              // 是否保留被约简的维度，默认为1
  int noop_with_empty_axes_ = 0;  // 当axes为空时的行为，默认为0
};
 
class NNDEPLOY_CC_API ReduceSumParam : public OpParam {
 public:
  ReduceSumParam() : OpParam() {}
  virtual ~ReduceSumParam() {}
 
  PARAM_COPY(ReduceSumParam)
  PARAM_COPY_TO(ReduceSumParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("keepdims_", keepdims_, allocator);
    json.AddMember("noop_with_empty_axes_", noop_with_empty_axes_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("keepdims_")) {
      keepdims_ = json["keepdims_"].GetInt();
    } else {
      keepdims_ = 1;  // 默认值
    }
 
    if (json.HasMember("noop_with_empty_axes_")) {
      noop_with_empty_axes_ = json["noop_with_empty_axes_"].GetInt();
    } else {
      noop_with_empty_axes_ = 0;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int keepdims_ = 1;              // 是否保留被约简的维度，默认为1
  int noop_with_empty_axes_ = 0;  // 当axes为空时的行为，默认为0
};
 
class NNDEPLOY_CC_API ShapeParam : public OpParam {
 public:
  ShapeParam() : OpParam() {}  // 默认构造函数
  virtual ~ShapeParam() {}
 
  PARAM_COPY(ShapeParam)
  PARAM_COPY_TO(ShapeParam)
 
  using base::Param::serialize;
  virtual base::Status serialize(
      rapidjson::Value &json, rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("start_", start_, allocator);
    json.AddMember("end_", end_, allocator);
    return base::kStatusCodeOk;
  }
  using base::Param::deserialize;
  virtual base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("start_")) {
      start_ = json["start_"].GetInt();
    } else {
      start_ = 0;  // 默认值
    }
 
    if (json.HasMember("end_")) {
      end_ = json["end_"].GetInt();
    } else {
      end_ = -1;  // 默认值
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  int start_ = 0;  // 用于切片形状的起始轴，默认值为0
  int end_ =
      -1;  // 负值表示从后向前计数维度。如果省略，将包含直到（包括）最后一个轴的所有轴的大小。
};
 
class NNDEPLOY_CC_API ConstantOfShapeParam : public OpParam {
 public:
  ConstantOfShapeParam() : OpParam() {}
  virtual ~ConstantOfShapeParam() {}
 
  PARAM_COPY(ConstantOfShapeParam)
  PARAM_COPY_TO(ConstantOfShapeParam)
 
  base::Status serialize(rapidjson::Value &json,
                         rapidjson::Document::AllocatorType &allocator) {
    json.AddMember("value_", value_, allocator);
    json.AddMember("datatype_", rapidjson::Value(rapidjson::kArrayType),
                   allocator);
    json["datatype_"].PushBack(static_cast<int32_t>(datatype_.code_),
                               allocator);
    json["datatype_"].PushBack(static_cast<int32_t>(datatype_.bits_),
                               allocator);
    json["datatype_"].PushBack(static_cast<int32_t>(datatype_.lanes_),
                               allocator);
    return base::kStatusCodeOk;
  }
 
  base::Status deserialize(rapidjson::Value &json) {
    if (json.HasMember("value_")) {
      value_ = json["value_"].GetFloat();
    } else {
      value_ = 0.0f;  // 默认值
    }
 
    if (json.HasMember("datatype_")) {
      datatype_.code_ = json["datatype_"][0].GetInt();
      datatype_.bits_ = json["datatype_"][1].GetInt();
      datatype_.lanes_ = json["datatype_"][2].GetInt();
    } else {
      datatype_ = base::dataTypeOf<float>();  // 默认为 float 类型
    }
 
    return base::kStatusCodeOk;
  }
 
 public:
  float value_ = 0.0f;  // 默认值为 0.0
  base::DataType datatype_ =
      base::dataTypeOf<float>();  // 数据类型，默认为 float 类型
};
 
}  // namespace ir
}  // namespace nndeploy
 
#ifdef _MSC_VER
#pragma warning(pop)  // 恢复之前的警告状态
#endif
 
#endif /* _NNDEPLOY_IR_OP_PARAM_H_ */