create_dl_pruningT_create_dl_pruningCreateDlPruningCreateDlPruningcreate_dl_pruning (算子)

名称

create_dl_pruningT_create_dl_pruningCreateDlPruningCreateDlPruningcreate_dl_pruning — 创建剪枝数据句柄。

签名

create_dl_pruning( : : DLModelHandle, Mode, GenParam : DLPruningHandle)

Herror T_create_dl_pruning(const Htuple DLModelHandle, const Htuple Mode, const Htuple GenParam, Htuple* DLPruningHandle)

void CreateDlPruning(const HTuple& DLModelHandle, const HTuple& Mode, const HTuple& GenParam, HTuple* DLPruningHandle)

HDlPrune HDlModel::CreateDlPruning(const HString& Mode, const HDict& GenParam) const

HDlPrune HDlModel::CreateDlPruning(const char* Mode, const HDict& GenParam) const

HDlPrune HDlModel::CreateDlPruning(const wchar_t* Mode, const HDict& GenParam) const   ( Windows only)

void HDlPrune::HDlPrune(const HDlModel& DLModelHandle, const HString& Mode, const HDict& GenParam)

void HDlPrune::HDlPrune(const HDlModel& DLModelHandle, const char* Mode, const HDict& GenParam)

void HDlPrune::HDlPrune(const HDlModel& DLModelHandle, const wchar_t* Mode, const HDict& GenParam)   ( Windows only)

void HDlPrune::CreateDlPruning(const HDlModel& DLModelHandle, const HString& Mode, const HDict& GenParam)

void HDlPrune::CreateDlPruning(const HDlModel& DLModelHandle, const char* Mode, const HDict& GenParam)

void HDlPrune::CreateDlPruning(const HDlModel& DLModelHandle, const wchar_t* Mode, const HDict& GenParam)   ( Windows only)

static void HOperatorSet.CreateDlPruning(HTuple DLModelHandle, HTuple mode, HTuple genParam, out HTuple DLPruningHandle)

HDlPrune HDlModel.CreateDlPruning(string mode, HDict genParam)

public HDlPrune(HDlModel DLModelHandle, string mode, HDict genParam)

void HDlPrune.CreateDlPruning(HDlModel DLModelHandle, string mode, HDict genParam)

def create_dl_pruning(dlmodel_handle: HHandle, mode: str, gen_param: HHandle) -> HHandle

描述

算子 create_dl_pruningcreate_dl_pruningCreateDlPruningCreateDlPruningCreateDlPruningcreate_dl_pruning creates a handle DLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandledlpruning_handle. This handle is used to pass information when pruning a deep learning model.

ModeModeModeModemodemode specifies the pruning method. The mode implies what will be removed and also which scores are needed. Currently only the following 'mode'"mode""mode""mode""mode""mode" is implemented:

'oracle'"oracle""oracle""oracle""oracle""oracle"

Kernels of convolution layers are removed. In order to do so, a score is calculated for every (potentially removable) kernel, indicating its importance within the given network for the images used. See the given reference for details.

GenParamGenParamGenParamGenParamgenParamgen_param is a dictionary for setting generic parameters. Currently no generic parameters are supported.

有关深度学习概念的说明,请参阅 深度学习 一章的引言。

执行信息

此算子返回一个句柄。请注意,即使该句柄被用作特定算子的输入参数,这些算子仍可能改变此句柄类型的实例状态。

参数

DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle (输入控制)  dl_model HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of a deep learning model.

ModeModeModeModemodemode (输入控制)  string HTuplestrHTupleHtuple (string) (string) (HString) (char*)

Pruning method.

默认值: 'oracle' "oracle" "oracle" "oracle" "oracle" "oracle"

值列表: 'oracle'"oracle""oracle""oracle""oracle""oracle"

GenParamGenParamGenParamGenParamgenParamgen_param (输入控制)  dict HDict, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Dictionary with generic parameters.

默认值: []

DLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandleDLPruningHandledlpruning_handle (输出控制)  dl_pruning HDlPrune, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Pruning data handle.

可能的前趋

read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModelread_dl_model

可能的后继

get_dl_pruning_paramget_dl_pruning_paramGetDlPruningParamGetDlPruningParamGetDlPruningParamget_dl_pruning_param, set_dl_model_paramset_dl_model_paramSetDlModelParamSetDlModelParamSetDlModelParamset_dl_model_param

参考文献

Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz "Pruning Convolutional Neural Networks for Resource Efficient Inference", ICLR 2017, 5th International Conference on Learning Representations, Toulon, France.

模块

深度学习训练