diff --git a/docs/lite/api/source_zh_cn/api_cpp/mindspore.md b/docs/lite/api/source_zh_cn/api_cpp/mindspore.md index e923e0ac4fd113e0d6920f6b03a4179c6e5000c5..0a7320cefa2c7194290d69ba80b42c77b818591f 100644 --- a/docs/lite/api/source_zh_cn/api_cpp/mindspore.md +++ b/docs/lite/api/source_zh_cn/api_cpp/mindspore.md @@ -148,19 +148,19 @@ Context的数据。 | [int32_t GetInterOpParallelNum() const](#getinteropparallelnum) | √ | √ | | [void SetThreadAffinity(int mode)](#setthreadaffinity) | √ | √ | | [int GetThreadAffinityMode() const](#getthreadaffinitymode) | √ | √ | -| [void SetThreadAffinity(const std::vector &core_list)](#setthreadaffinity) | √ | √ | -| [std::vector GetThreadAffinityCoreList() const](#getthreadaffinitycorelist) | √ | √ | +| [void SetThreadAffinity(const std::vector\ &core_list)](#setthreadaffinity) | √ | √ | +| [std::vector\ GetThreadAffinityCoreList() const](#getthreadaffinitycorelist) | √ | √ | | [void SetEnableParallel(bool is_parallel)](#setenableparallel) | ✕ | √ | | [bool GetEnableParallel() const](#getenableparallel) | ✕ | √ | | [void SetBuiltInDelegate(DelegateMode mode)](#setbuiltindelegate) | ✕ | √ | | [DelegateMode GetBuiltInDelegate() const](#getbuiltindelegate) | ✕ | √ | -| [void SetDelegate(const std::shared_ptr &delegate)](#setdelegate) | ✕ | √ | -| [std::shared_ptr GetDelegate() const](#getdelegate) | ✕ | √ | -| [void set_delegate(const std::shared_ptr &delegate)](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#set-delegate) | ✕ | √ | -| [std::shared_ptr get_delegate() const](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#get-delegate) | ✕ | √ | +| [void SetDelegate(const std::shared_ptr\ &delegate)](#setdelegate) | ✕ | √ | +| [std::shared_ptr\ GetDelegate() const](#getdelegate) | ✕ | √ | +| [void set_delegate(const std::shared_ptr\ &delegate)](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#set-delegate) | ✕ | √ | +| [std::shared_ptr\ get_delegate() const](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#get-delegate) | ✕ | √ | | [void SetMultiModalHW(bool float_mode)](#setmultimodalhw) | ✕ | √ | | [bool GetMultiModalHW() const](#getmultimodalhw) | ✕ | √ | -| [std::vector> &MutableDeviceInfo()](#mutabledeviceinfo) | √ | √ | +| [std::vector\\> &MutableDeviceInfo()](#mutabledeviceinfo) | √ | √ | | [void SetGroupInfoFile(std::string group_info_file)](#setgroupinfofile) | √ | √ | #### SetThreadNum @@ -442,13 +442,13 @@ struct Data; | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |-------------------------------------------------------------------|---------|---------| | [enum DeviceType GetDeviceType() const](#getdevicetype) | √ | √ | -| [std::shared_ptr Cast()](#cast) | √ | √ | +| [std::shared_ptr\ Cast()](#cast) | √ | √ | | [void SetProvider(const std::string &provider)](#setprovider) | √ | √ | | [std::string GetProvider() const](#getprovider) | √ | √ | | [void SetProviderDevice(const std::string &device)](#setproviderdevice) | √ | √ | | [std::string GetProviderDevice() const](#getproviderdevice) | √ | √ | -| [void SetAllocator(const std::shared_ptr &allocator)](#setallocator) | ✕ | ✕ | -| [std::shared_ptr GetAllocator() const](#getallocator) | ✕ | ✕ | +| [void SetAllocator(const std::shared_ptr\ &allocator)](#setallocator) | ✕ | ✕ | +| [std::shared_ptr\ GetAllocator() const](#getallocator) | ✕ | ✕ | #### GetDeviceType @@ -665,12 +665,12 @@ Serialization类汇总了模型文件读写的方法。 | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |--------------------------------------------------------------------|--------|--------| | [Status Load(const std::string &file, ModelType model_type, Graph *graph, const Key &dec_key = {}, const std::string &dec_mode = kDecModeAesGcm)](#load) | ✕ | √ | -| [Status Load(const std::vector &files, ModelType model_type, std::vector *graphs, const Key &dec_key = {}, const std::string &dec_mode = kDecModeAesGcm)](#load-1) | ✕ | ✕ | +| [Status Load(const std::vector\ &files, ModelType model_type, std::vector\ *graphs, const Key &dec_key = {}, const std::string &dec_mode = kDecModeAesGcm)](#load-1) | ✕ | ✕ | | [Status Load(const void *model_data, size_t data_size, ModelType model_type, Graph *graph, const Key &dec_key = {}, const std::string &dec_mode = kDecModeAesGcm)](#load-2) | ✕ | √ | -| [static Status SetParameters(const std::map ¶meters, Model *model)](#setparameters) | ✕ | ✕ | +| [static Status SetParameters(const std::map\ ¶meters, Model *model)](#setparameters) | ✕ | ✕ | | [static Status ExportModel(const Model &model, ModelType model_type, Buffer *model_data)](#exportmodel) | ✕ | √ | -| [static Status ExportModel(const Model &model, ModelType model_type, const std::string &model_file, QuantizationType quantization_type = kNoQuant, bool export_inference_only = true, std::vector output_tensor_name = {})](#exportmodel) | ✕ | √ | -| [static Status ExportWeightsCollaborateWithMicro(const Model &model, ModelType model_type, const std::string &weight_file, bool is_inference = true, bool enable_fp16 = false, const std::vector &changeable_weights_name = {})](#exportweightscollaboratewithmicro) | ✕ | √ | +| [static Status ExportModel(const Model &model, ModelType model_type, const std::string &model_file, QuantizationType quantization_type = kNoQuant, bool export_inference_only = true, std::vector\ output_tensor_name = {})](#exportmodel) | ✕ | √ | +| [static Status ExportWeightsCollaborateWithMicro(const Model &model, ModelType model_type, const std::string &weight_file, bool is_inference = true, bool enable_fp16 = false, const std::vector\ &changeable_weights_name = {})](#exportweightscollaboratewithmicro) | ✕ | √ | #### Load @@ -767,7 +767,7 @@ static Status ExportModel(const Model &model, ModelType model_type, Buffer *mode - `model_type`：模型文件类型。 - `model_data`：模型参数数据。 - - 返回值 +- 返回值 状态码类`Status`对象，可以使用其公有函数`StatusCode`或`ToString`函数来获取具体错误码及错误信息。 @@ -941,49 +941,49 @@ Model() | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------|---------| -| [Status Build(const void *model_data, size_t data_size, ModelType model_type, const std::shared_ptr &model_context = nullptr)](#build) | √ | √ | -| [Status Build(const void *model_data, size_t data_size, ModelType model_type, const std::shared_ptr &model_context, const Key &dec_key, const std::string &dec_mode, const std::string &cropto_lib_path)](#build-1) | √ | √ | -| [Status Build(const std::string &model_path, ModelType model_type, const std::shared_ptr &model_context = nullptr)](#build-2) | √ | √ | -| [Status Build(const std::string &model_path, ModelType model_type, const std::shared_ptr &model_context, const Key &dec_key, const std::string &dec_mode, const std::string &cropto_lib_path)](#build-3) | √ | √ | -| [Status Build(GraphCell graph, const std::shared_ptr &model_context = nullptr, const std::shared_ptr &train_cfg = nullptr)](#build-4) | ✕ | √ | -| [Status BuildTransferLearning(GraphCell backbone, GraphCell head, const std::shared_ptr &context, const std::shared_ptr &train_cfg = nullptr)](#buildtransferlearning) | ✕ | √ | +| [Status Build(const void *model_data, size_t data_size, ModelType model_type, const std::shared_ptr\ &model_context = nullptr)](#build) | √ | √ | +| [Status Build(const void *model_data, size_t data_size, ModelType model_type, const std::shared_ptr\ &model_context, const Key &dec_key, const std::string &dec_mode, const std::string &cropto_lib_path)](#build-1) | √ | √ | +| [Status Build(const std::string &model_path, ModelType model_type, const std::shared_ptr\ &model_context = nullptr)](#build-2) | √ | √ | +| [Status Build(const std::string &model_path, ModelType model_type, const std::shared_ptr\ &model_context, const Key &dec_key, const std::string &dec_mode, const std::string &cropto_lib_path)](#build-3) | √ | √ | +| [Status Build(GraphCell graph, const std::shared_ptr\ &model_context = nullptr, const std::shared_ptr\ &train_cfg = nullptr)](#build-4) | ✕ | √ | +| [Status BuildTransferLearning(GraphCell backbone, GraphCell head, const std::shared_ptr\ &context, const std::shared_ptr\ &train_cfg = nullptr)](#buildtransferlearning) | ✕ | √ | | [Status Resize(const std::vector &inputs, const std::vector> &dims)](#resize) | √ | √ | | [Status UpdateWeights(const std::vector &new_weights)](#updateweights) | ✕ | √ | -| [Status Predict(const std::vector &inputs, std::vector *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predict) | √ | √ | +| [Status Predict(const std::vector\ &inputs, std::vector\ *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predict) | √ | √ | | [Status Predict(const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predict-1) | ✕ | √ | | [Status RunStep(const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#runstep) | ✕ | √ | -| [Status PredictWithPreprocess(const std::vector> &inputs, std::vector *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predictwithpreprocess) | ✕ | ✕ | -| [Status Preprocess(const std::vector> &inputs, std::vector *outputs)](#preprocess) | ✕ | ✕ | +| [Status PredictWithPreprocess(const std::vector\\> &inputs, std::vector\ *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predictwithpreprocess) | ✕ | ✕ | +| [Status Preprocess(const std::vector\\> &inputs, std::vector\ *outputs)](#preprocess) | ✕ | ✕ | | [bool HasPreprocess()](#haspreprocess) | ✕ | ✕ | | [Status LoadConfig(const std::string &config_path)](#loadconfig) | √ | √ | -| [Status UpdateConfig(const std::string §ion, const std::pair &config)](#updateconfig) | √ | √ | -| [std::vector GetInputs()](#getinputs) | √ | √ | +| [Status UpdateConfig(const std::string §ion, const std::pair\ &config)](#updateconfig) | √ | √ | +| [std::vector\ GetInputs()](#getinputs) | √ | √ | | [MSTensor GetInputByTensorName(const std::string &tensor_name)](#getinputbytensorname) | √ | √ | -| [std::vector GetOutputs()](#getoutputs) | √ | √ | -| [std::vector< std::string> GetOutputTensorNames()](#getoutputtensornames) | √ | √ | +| [std::vector\ GetOutputs()](#getoutputs) | √ | √ | +| [std::vector\ GetOutputTensorNames()](#getoutputtensornames) | √ | √ | | [MSTensor GetOutputByTensorName(const std::string &tensor_name)](#getoutputbytensorname) | √ | √ | -| [std::vector GetOutputsByNodeName(const std::string &node_name)](#getoutputsbynodename) | ✕ | √ | +| [std::vector\ GetOutputsByNodeName(const std::string &node_name)](#getoutputsbynodename) | ✕ | √ | | [static bool CheckModelSupport(enum DeviceType device_type, ModelType model_type)](#checkmodelsupport) | √ | √ | -| [std::vector GetGradients() const](#getgradients) | ✕ | √ | -| [Status ApplyGradients(const std::vector &gradients)](#applygradients) | ✕ | √ | -| [std::vector GetFeatureMaps() const](#getfeaturemaps) | ✕ | √ | -| [std::vector GetTrainableParams() const](#gettrainableparams) | ✕ | √ | -| [Status UpdateFeatureMaps(const std::vector &new_weights)](#updatefeaturemaps) | ✕ | √ | -| [std::vector GetOptimizerParams() const](#getoptimizerparams) | ✕ | √ | -| [Status SetOptimizerParams(const std::vector ¶ms)](#setoptimizerparams) | ✕ | √ | +| [std::vector\ GetGradients() const](#getgradients) | ✕ | √ | +| [Status ApplyGradients(const std::vector\ &gradients)](#applygradients) | ✕ | √ | +| [std::vector\ GetFeatureMaps() const](#getfeaturemaps) | ✕ | √ | +| [std::vector\ GetTrainableParams() const](#gettrainableparams) | ✕ | √ | +| [Status UpdateFeatureMaps(const std::vector\ &new_weights)](#updatefeaturemaps) | ✕ | √ | +| [std::vector\ GetOptimizerParams() const](#getoptimizerparams) | ✕ | √ | +| [Status SetOptimizerParams(const std::vector\ ¶ms)](#setoptimizerparams) | ✕ | √ | | [Status SetupVirtualBatch(int virtual_batch_multiplier, float lr = -1.0f, float momentum = -1.0f)](#setupvirtualbatch) | ✕ | √ | | [Status SetLearningRate(float learning_rate)](#setlearningrate) | ✕ | √ | | [float GetLearningRate()](#getlearningrate) | ✕ | √ | -| [Status InitMetrics(std::vector metrics)](#initmetrics) | ✕ | √ | -| [std::vector GetMetrics()](#getmetrics) | ✕ | √ | -| [Status BindGLTexture2DMemory(const std::map &inputGLTexture, std::map *outputGLTexture)](#bindgltexture2dmemory) | ✕ | √ | +| [Status InitMetrics(std::vector\ metrics)](#initmetrics) | ✕ | √ | +| [std::vector\ GetMetrics()](#getmetrics) | ✕ | √ | +| [Status BindGLTexture2DMemory(const std::map\ &inputGLTexture, std::map\ *outputGLTexture)](#bindgltexture2dmemory) | ✕ | √ | | [Status SetTrainMode(bool train)](#settrainmode) | ✕ | √ | | [bool GetTrainMode() const](#gettrainmode) | ✕ | √ | -| [Status Train(int epochs, std::shared_ptr< dataset::Dataset> ds, std::vector cbs)](#train) | ✕ | √ | -| [Status Evaluate(std::shared_ptr< dataset::Dataset> ds, std::vector cbs)](#evaluate) | ✕ | √ | +| [Status Train(int epochs, std::shared_ptr\< dataset::Dataset\> ds, std::vector\ cbs)](#train) | ✕ | √ | +| [Status Evaluate(std::shared_ptr\< dataset::Dataset\> ds, std::vector\ cbs)](#evaluate) | ✕ | √ | | [Status Finalize()](#finalize) | √ | √ | -| [Status UpdateWeights(const std::vector> &new_weights)](#updateweights) | √ | √ | -| [const std::shared_ptr impl()](#impl) | √ | √ | +| [Status UpdateWeights(const std::vector\\> &new_weights)](#updateweights) | √ | √ | +| [const std::shared_ptr\ impl()](#impl) | √ | √ | | [inline std::string GetModelInfo(const std::string &key)](#getmodelinfo) | √ | √ | #### Build @@ -1682,6 +1682,7 @@ inline std::string GetModelInfo(const std::string &key); - 返回值 模型的信息。 + #### Finalize ```cpp @@ -1716,13 +1717,13 @@ explicit MSTensor(std::nullptr_t) | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |------------------------------------------------------------------------------------------------------------------|---------|---------| -| [MSTensor *CreateTensor(const std::string &name, DataType type, const std::vector &shape, const void *data, size_t data_len, const std::string &device = "", int device_id = -1) noexcept](#createtensor) | √ | √ | +| [MSTensor *CreateTensor(const std::string &name, DataType type, const std::vector\ &shape, const void *data, size_t data_len, const std::string &device = "", int device_id = -1) noexcept](#createtensor) | √ | √ | | [MSTensor *CreateTensor(const std::string &name, const MSTensor &tensor, const std::string &device = "", int device_id = -1) noexcept](#createtensor) | √ | √ | -| [MSTensor *CreateRefTensor(const std::string &name, DataType type, const std::vector &shape, void *data, size_t data_len) noexcept](#createreftensor) | √ | √ | -| [static inline MSTensor CreateDeviceTensor(const std::string &name, DataType type, const std::vector &shape, void *data, size_t data_len) noexcept](#createdevicetensor) | √ | ✕ | -| [static inline MSTensor *CreateTensorFromFile(const std::string &file, DataType type = DataType::kNumberTypeUInt8, const std::vector &shape = {}) noexcept](#createtensorfromfile) | √ | ✕ | -| [MSTensor *StringsToTensor(const std::string &name, const std::vector &str)](#stringstotensor) | √ | √ | -| [std::vector TensorToStrings(const MSTensor &tensor)](#tensortostrings) | √ | √ | +| [MSTensor *CreateRefTensor(const std::string &name, DataType type, const std::vector\ &shape, void *data, size_t data_len) noexcept](#createreftensor) | √ | √ | +| [static inline MSTensor CreateDeviceTensor(const std::string &name, DataType type, const std::vector\ &shape, void *data, size_t data_len) noexcept](#createdevicetensor) | √ | ✕ | +| [static inline MSTensor *CreateTensorFromFile(const std::string &file, DataType type = DataType::kNumberTypeUInt8, const std::vector\ &shape = {}) noexcept](#createtensorfromfile) | √ | ✕ | +| [MSTensor *StringsToTensor(const std::string &name, const std::vector\ &str)](#stringstotensor) | √ | √ | +| [std::vector\ TensorToStrings(const MSTensor &tensor)](#tensortostrings) | √ | √ | | [void DestroyTensorPtr(MSTensor *tensor) noexcept](#destroytensorptr) | √ | √ | #### CreateTensor @@ -1881,9 +1882,9 @@ void DestroyTensorPtr(MSTensor *tensor) noexcept; |---------------------------------------------------------------------------------------------|---------|---------| | [std::string Name() const](#name) | √ | √ | | [enum DataType DataType() const](#datatype) | √ | √ | -| [const std::vector &Shape() const](#shape) | √ | √ | +| [const std::vector\ &Shape() const](#shape) | √ | √ | | [int64_t ElementNum() const](#elementnum) | √ | √ | -| [std::shared_ptr Data() const](#data) | √ | √ | +| [std::shared_ptr\ Data() const](#data) | √ | √ | | [void *MutableData()](#mutabledata) | √ | √ | | [size_t DataSize() const](#datasize) | √ | √ | | [int GetDevice() const](#getdevice) | √ | ✕ | @@ -1895,19 +1896,19 @@ void DestroyTensorPtr(MSTensor *tensor) noexcept; | [bool operator!=(std::nullptr_t) const](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#operatorstd-nullptr-t) | √ | √ | | [bool operator!=(const MSTensor &tensor) const](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#operatorconst-mstensor-tensor) | √ | √ | | [bool operator==(const MSTensor &tensor) const](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#operatorconst-mstensor-tensor) | √ | √ | -| [void SetShape(const std::vector &shape)](#setshape) | √ | √ | +| [void SetShape(const std::vector\ &shape)](#setshape) | √ | √ | | [void SetDataType(enum DataType data_type)](#setdatatype) | √ | √ | | [void SetTensorName(const std::string &name)](#settensorname) | √ | √ | -| [void SetAllocator(std::shared_ptr allocator)](#setallocator) | √ | √ | -| [std::shared_ptr allocator() const](#allocator) | √ | √ | +| [void SetAllocator(std::shared_ptr\ allocator)](#setallocator) | √ | √ | +| [std::shared_ptr\ allocator() const](#allocator) | √ | √ | | [void SetFormat(mindspore::Format format)](#setformat) | √ | √ | | [mindspore::Format format() const](#format) | √ | √ | | [void SetData(void *data, bool own_data = true)](#setdata) | √ | √ | | [void SetDeviceData(void *data)](#setdevicedata) | √ | √ | | [void *GetDeviceData()](#getdevicedata) | √ | √ | -| [std::vector QuantParams() const](#quantparams) | √ | √ | -| [void SetQuantParams(std::vector quant_params)](#setquantparams) | √ | √ | -| [const std::shared_ptr impl()](#impl) | √ | √ | +| [std::vector\ QuantParams() const](#quantparams) | √ | √ | +| [void SetQuantParams(std::vector\ quant_params)](#setquantparams) | √ | √ | +| [const std::shared_ptr\ impl()](#impl) | √ | √ | #### Name @@ -3308,7 +3309,7 @@ constexpr int METRICS_MULTILABEL = 1; | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |-----------------------|--------|--------| -| [std::vector CharVersion()](#charversion) | ✕ | √ | +| [std::vector\ CharVersion()](#charversion) | ✕ | √ | \#include <types.h> @@ -3496,7 +3497,7 @@ inline Status(const StatusCode code, int line_of_code, const char *file_name, co | [inline std::string GetErrDescription() const](#geterrdescription) | √ | √ | | [inline std::string SetErrDescription(const std::string &err_description)](#seterrdescription) | √ | √ | | [inline void SetStatusMsg(const std::string &status_msg)](#setstatusmsg) | √ | √ | -| [friend std::ostream &operator<<(std::ostream &os, const Status &s)](https://www.mindspore.cn/lite/api/zh-CN/master/api_cpp/mindspore.html#operator< &context)](#setcontext) | √ | ✕ | -| [std::shared_ptr GetContext() const](#getcontext) | √ | ✕ | -| [inline void SetConfigInfo(const std::string §ion, const std::map &config)](#setconfiginfo) | √ | ✕ | -| [inline std::map> GetConfigInfo() const](#getconfiginfo) | √ | ✕ | +| [void SetContext(const std::shared_ptr\ &context)](#setcontext) | √ | ✕ | +| [std::shared_ptr\ GetContext() const](#getcontext) | √ | ✕ | +| [inline void SetConfigInfo(const std::string §ion, const std::map\ &config)](#setconfiginfo) | √ | ✕ | +| [inline std::map\\> GetConfigInfo() const](#getconfiginfo) | √ | ✕ | | [inline void SetConfigPath(const std::string &config_path)](#setconfigpath) | √ | ✕ | | [inline std::string GetConfigPath() const](#getconfigpath) | √ | ✕ | -| [void SetDeviceIds(const std::vector &device_ids)](#setdeviceids) | √ | ✕ | -| [std::vector GetDeviceIds() const](#getdeviceids) | √ | ✕ | +| [void SetDeviceIds(const std::vector\ &device_ids)](#setdeviceids) | √ | ✕ | +| [std::vector\ GetDeviceIds() const](#getdeviceids) | √ | ✕ | #### SetWorkersNum @@ -4248,11 +4250,11 @@ ModelParallelRunner() | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |-------------------------------------------------------------|---------|---------| -| [inline Status Init(const std::string &model_path, const std::shared_ptr &runner_config = nullptr)](#init) | √ | ✕ | -| [Status Init(const void *model_data, const size_t data_size, const std::shared_ptr &runner_config = nullptr)](#init-1) | √ | ✕ | -| [std::vector GetInputs()](#getinputs) | √ | ✕ | -| [std::vector GetOutputs()](#getoutputs) | √ | ✕ | -| [Status Predict(const std::vector &inputs, std::vector *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predict) | √ | ✕ | +| [inline Status Init(const std::string &model_path, const std::shared_ptr\ &runner_config = nullptr)](#init) | √ | ✕ | +| [Status Init(const void *model_data, const size_t data_size, const std::shared_ptr\ &runner_config = nullptr)](#init-1) | √ | ✕ | +| [std::vector\ GetInputs()](#getinputs) | √ | ✕ | +| [std::vector\ GetOutputs()](#getoutputs) | √ | ✕ | +| [Status Predict(const std::vector\ &inputs, std::vector\ *outputs, const MSKernelCallBack &before = nullptr, const MSKernelCallBack &after = nullptr)](#predict) | √ | ✕ | #### Init @@ -4354,10 +4356,10 @@ ModelGroup(ModelGroupFlag flags = ModelGroupFlag::kShareWorkspace) | 函数 | 云侧推理是否支持 | 端侧推理是否支持 | |-------------------------------------------------------------|---------|---------| -| [Status AddModel(const std::vector &model_path_list)](#addmodel) | √ | ✕ | -| [Status AddModel(const std::vector> &model_buff_list)](#addmodel-1) | √ | ✕ | -| [Status AddModel(const std::vector &model_list)](#addmodel-2) | √ | ✕ | -| [Status CalMaxSizeOfWorkspace(ModelType model_type, const std::shared_ptr &ms_context)](#calmaxsizeofworkspace) | √ | ✕ | +| [Status AddModel(const std::vector\ &model_path_list)](#addmodel) | √ | ✕ | +| [Status AddModel(const std::vector\\> &model_buff_list)](#addmodel-1) | √ | ✕ | +| [Status AddModel(const std::vector\ &model_list)](#addmodel-2) | √ | ✕ | +| [Status CalMaxSizeOfWorkspace(ModelType model_type, const std::shared_ptr\ &ms_context)](#calmaxsizeofworkspace) | √ | ✕ | #### AddModel