load_dl_model_weightsT_load_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights (Operator)

Name

load_dl_model_weightsT_load_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights — Load the weights of a source model into a target model.

Signature

load_dl_model_weights( : : DLModelHandleSource, DLModelHandleTarget : ChangesByLayer)

Description

The operator load_dl_model_weightsload_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights loads weights of a source model DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source into a target model DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_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 DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source must be different from DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_handle_target, i.e., you cannot use the same model handle as source and target.

ChangesByLayerChangesByLayerChangesByLayerchangesByLayerchanges_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_paramGetDlModelParamGetDlModelParamget_dl_model_param with the parameter '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.).

Execution Information

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

DLModelHandleSourceDLModelHandleSourceDLModelHandleSourceDLModelHandleSourcedlmodel_handle_source (input_control) dl_model → (handle)

Handle of the source deep learning model.

DLModelHandleTargetDLModelHandleTargetDLModelHandleTargetDLModelHandleTargetdlmodel_handle_target (input_control) dl_model → (handle)

Handle of the target deep learning model.

ChangesByLayerChangesByLayerChangesByLayerchangesByLayerchanges_by_layer (output_control) integer(-array) → (integer)

Indicates for every target layer how many weights changed.

Result

If the parameters are valid, the operator load_dl_model_weightsload_dl_model_weightsLoadDlModelWeightsLoadDlModelWeightsload_dl_model_weights returns the value 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

Module

Deep Learning Training

Operators