load_dl_model_weightsT_load_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights (算子)

名称

load_dl_model_weightsT_load_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights — 将源模型的权重加载到目标模型中。

签名

load_dl_model_weights( : : DLModelHandleSource, DLModelHandleTarget : ChangesByLayer)

描述

算子 load_dl_model_weightsload_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights loads weights of a source model DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source into a target model DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_handle_target. Thereby applies for every layer in the target model: Its weights are only changed if there is a layer in the source model having the same name and the same weight-shape. Note that DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source must be different from DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_handle_target, i.e., you cannot use the same model handle as source and target.

ChangesByLayerChangesByLayerChangesByLayerChangesByLayerchangesByLayerchanges_by_layer is a tuple indicating for every target layer how many weights changed. Its entries are sorted by ascending layer IDs. The layer IDs can be queried via the operator get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param with the parameter 'summary'"summary""summary""summary""summary""summary".

Note, that 'weights' means all weights and biases for all layers which can have such values (e.g., convolutional layer, batch normalization layer, etc.).

注意

算子 load_dl_model_weightsload_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights is only applicable to self-created networks. For networks delivered by HALCON, the operator is not working.

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
未采用并行化处理。

参数

DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source (输入控制) dl_model → (handle)

Handle of the source deep learning model.

DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_handle_target (输入控制) dl_model → (handle)

Handle of the target deep learning model.

ChangesByLayerChangesByLayerChangesByLayerChangesByLayerchangesByLayerchanges_by_layer (输出控制) integer(-array) → (integer)

Indicates for every target layer how many weights changed.

结果

如果参数有效，算子 load_dl_model_weightsload_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。

模块

深度学习训练

算子