clear_train_data_variation_modelT_clear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model (算子)

名称

clear_train_data_variation_modelT_clear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model — 释放变体模型训练数据的内存。

签名

clear_train_data_variation_model( : : ModelID : )

Herror T_clear_train_data_variation_model(const Htuple ModelID)

void ClearTrainDataVariationModel(const HTuple& ModelID)

void HVariationModel::ClearTrainDataVariationModel() const

static void HOperatorSet.ClearTrainDataVariationModel(HTuple modelID)

void HVariationModel.ClearTrainDataVariationModel()

def clear_train_data_variation_model(model_id: HHandle) -> None

描述

clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model frees the memory of a variation model that was created by create_variation_modelcreate_variation_modelCreateVariationModelCreateVariationModelCreateVariationModelcreate_variation_modelclear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model can be used to reduce the amount of memory required for the variation model (in main memory as well as when writing the model to file with write_variation_modelwrite_variation_modelWriteVariationModelWriteVariationModelWriteVariationModelwrite_variation_model). clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model can only be called if the model has been prepared for comparison with an image with prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelPrepareVariationModelprepare_variation_model。After the call to clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model the variation model can only be used for image comparison with compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelCompareVariationModelcompare_variation_model or compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModelCompareExtVariationModelcompare_ext_variation_model。The model cannot be trained any further. Furthermore, the images used for the image comparison can no longer be read with get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModelget_variation_model。If they are required, get_variation_modelget_variation_modelGetVariationModelGetVariationModelGetVariationModelget_variation_model must be called before clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model is called.

执行信息

此算子修改后续输入参数的状态:

在执行此算子时,若该参数值需在多个线程间使用,则必须对其访问进行同步。

参数

ModelIDModelIDModelIDModelIDmodelIDmodel_id (输入控制,状态被修改)  variation_model HVariationModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

ID of the variation model.

结果

clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModelClearTrainDataVariationModelclear_train_data_variation_model 在所有参数正确时返回 2 ( H_MSG_TRUE )。

可能的前趋

prepare_variation_modelprepare_variation_modelPrepareVariationModelPrepareVariationModelPrepareVariationModelprepare_variation_model

可能的后继

compare_variation_modelcompare_variation_modelCompareVariationModelCompareVariationModelCompareVariationModelcompare_variation_model, compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModelCompareExtVariationModelcompare_ext_variation_model, write_variation_modelwrite_variation_modelWriteVariationModelWriteVariationModelWriteVariationModelwrite_variation_model

模块

匹配