Operator Reference

HALCON Operator Reference / Deep Learning / Model

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add_dl_pruning_batchT_add_dl_pruning_batchAddDlPruningBatchAddDlPruningBatchadd_dl_pruning_batch (Operator)

add_dl_pruning_batchT_add_dl_pruning_batchAddDlPruningBatchAddDlPruningBatchadd_dl_pruning_batch — Calculate scores to prune a deep learning model.

Signature

add_dl_pruning_batch( : : DLModelHandleToPrune, DLPruningHandle, DLSampleBatch : )

Herror T_add_dl_pruning_batch(const Htuple DLModelHandleToPrune, const Htuple DLPruningHandle, const Htuple DLSampleBatch)

void AddDlPruningBatch(const HTuple& DLModelHandleToPrune, const HTuple& DLPruningHandle, const HTuple& DLSampleBatch)

void HDlModel::AddDlPruningBatch(const HDlPrune& DLPruningHandle, const HDictArray& DLSampleBatch) const

void HDlPrune::AddDlPruningBatch(const HDlModel& DLModelHandleToPrune, const HDictArray& DLSampleBatch) const

static void HOperatorSet.AddDlPruningBatch(HTuple DLModelHandleToPrune, HTuple DLPruningHandle, HTuple DLSampleBatch)

void HDlModel.AddDlPruningBatch(HDlPrune DLPruningHandle, HDict[] DLSampleBatch)

void HDlPrune.AddDlPruningBatch(HDlModel DLModelHandleToPrune, HDict[] DLSampleBatch)

def add_dl_pruning_batch(dlmodel_handle_to_prune: HHandle, dlpruning_handle: HHandle, dlsample_batch: Sequence[HHandle]) -> None

Description

add_dl_pruning_batchadd_dl_pruning_batchAddDlPruningBatchAddDlPruningBatchadd_dl_pruning_batch calculates pruning scores for the deep learning model DLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPrunedlmodel_handle_to_prune. More precisely, the scores are calculated on the images given in DLSampleBatchDLSampleBatchDLSampleBatchDLSampleBatchdlsample_batch and internally accumulated by each call of add_dl_pruning_batchadd_dl_pruning_batchAddDlPruningBatchAddDlPruningBatchadd_dl_pruning_batch in the pruning data handle DLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandledlpruning_handle.

The parameter DLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPrunedlmodel_handle_to_prune specifies the deep learning model to use. Note that add_dl_pruning_batchadd_dl_pruning_batchAddDlPruningBatchAddDlPruningBatchadd_dl_pruning_batch supports only deep learning models of type 'classification'"classification""classification""classification""classification".

The parameter DLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandledlpruning_handle specifies the pruning data handle, which is used to pass information as e.g., the accumulated scores or the pruning mode. See create_dl_pruningcreate_dl_pruningCreateDlPruningCreateDlPruningcreate_dl_pruning for further information about implemented pruning modes.

The parameter DLSampleBatchDLSampleBatchDLSampleBatchDLSampleBatchdlsample_batch specifies the batch with input images based on which the scores are calculated. Note that the number of images in the tuple DLSampleBatchDLSampleBatchDLSampleBatchDLSampleBatchdlsample_batch needs to be equal to the value set for the model parameter 'batch_size'"batch_size""batch_size""batch_size""batch_size".

For an explanation of the concept of deep learning see the introduction of chapter Deep Learning.

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

DLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPruneDLModelHandleToPrunedlmodel_handle_to_prune (input_control)  dl_model → HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of a deep learning model to prune.

DLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandledlpruning_handle (input_control)  dl_pruning → HDlPrune, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Pruning data handle.

DLSampleBatchDLSampleBatchDLSampleBatchDLSampleBatchdlsample_batch (input_control)  dict-array → HDict, HTupleSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Tuple of dictionaries with input images.

Possible Predecessors

read_dl_modelread_dl_modelReadDlModelReadDlModelread_dl_model, create_dl_pruningcreate_dl_pruningCreateDlPruningCreateDlPruningcreate_dl_pruning, set_dl_pruning_paramset_dl_pruning_paramSetDlPruningParamSetDlPruningParamset_dl_pruning_param

Possible Successors

get_dl_pruning_paramget_dl_pruning_paramGetDlPruningParamGetDlPruningParamget_dl_pruning_param, gen_dl_pruned_modelgen_dl_pruned_modelGenDlPrunedModelGenDlPrunedModelgen_dl_pruned_model

Module

Deep Learning Professional

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