get_dl_model_layerT_get_dl_model_layerGetDlModelLayerGetDlModelLayerget_dl_model_layer (算子)
名称
get_dl_model_layerT_get_dl_model_layerGetDlModelLayerGetDlModelLayerget_dl_model_layer — 在给定的深度学习模型中创建层及其所有图形原型的深度副本。
签名
描述
算子 get_dl_model_layerget_dl_model_layerGetDlModelLayerGetDlModelLayerGetDlModelLayerget_dl_model_layer creates a deep copy of every layer
named in LayerNamesLayerNamesLayerNamesLayerNameslayerNameslayer_names and all their
graph ancestors in the deep learning model DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle.
You can retrieve the unique layer names using get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param with
its option 'summary'"summary""summary""summary""summary""summary".
You might use the output layers returned in DLLayersDLLayersDLLayersDLLayersDLLayersdllayers as inputs to
the create_dl_layer_* and create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_model operators in order
to create novel model architectures based on existing models.
If you want to get multiple layers of a single model, these layers have to be
specified as a LayerNamesLayerNamesLayerNamesLayerNameslayerNameslayer_names tuple in a single call to
get_dl_model_layerget_dl_model_layerGetDlModelLayerGetDlModelLayerGetDlModelLayerget_dl_model_layer. Doing so, you avoid multiple deep copies of graph
ancestors that are potentially shared by the layers.
Example:
get_dl_model_layer(DLModelHandleOrig, ['layer_name_3', 'layer_name_6'], DLLayersOutput)get_dl_model_layer(DLModelHandleOrig, ["layer_name_3", "layer_name_6"], DLLayersOutput)GetDlModelLayer(DLModelHandleOrig, ["layer_name_3", "layer_name_6"], DLLayersOutput)GetDlModelLayer(DLModelHandleOrig, ["layer_name_3", "layer_name_6"], DLLayersOutput)GetDlModelLayer(DLModelHandleOrig, ["layer_name_3", "layer_name_6"], DLLayersOutput)get_dl_model_layer(DLModelHandleOrig, ["layer_name_3", "layer_name_6"], DLLayersOutput)
|
create_dl_model([DLLayersOutput], DLModelHandle)create_dl_model([DLLayersOutput], DLModelHandle)CreateDlModel([DLLayersOutput], DLModelHandle)CreateDlModel([DLLayersOutput], DLModelHandle)CreateDlModel([DLLayersOutput], DLModelHandle)create_dl_model([DLLayersOutput], DLModelHandle)
|
Please note, that the output layers are copies. They contain the same weights
and settings as in the given input model but they are unique copies.
You cannot alter the existing model by changing the output layers.
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。
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)
Deep learning model.
LayerNamesLayerNamesLayerNamesLayerNameslayerNameslayer_names (输入控制) string(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Names of the layers to be copied.
DLLayersDLLayersDLLayersDLLayersDLLayersdllayers (输出控制) dl_layer(-array) → HDlLayer, HTupleSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Copies of layers and all of their ancestors.
可能的前趋
read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModelread_dl_model
可能的后继
create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_model,
create_dl_layer_activationcreate_dl_layer_activationCreateDlLayerActivationCreateDlLayerActivationCreateDlLayerActivationcreate_dl_layer_activation,
create_dl_layer_batch_normalizationcreate_dl_layer_batch_normalizationCreateDlLayerBatchNormalizationCreateDlLayerBatchNormalizationCreateDlLayerBatchNormalizationcreate_dl_layer_batch_normalization,
create_dl_layer_class_id_conversioncreate_dl_layer_class_id_conversionCreateDlLayerClassIdConversionCreateDlLayerClassIdConversionCreateDlLayerClassIdConversioncreate_dl_layer_class_id_conversion,
create_dl_layer_class_id_conversioncreate_dl_layer_class_id_conversionCreateDlLayerClassIdConversionCreateDlLayerClassIdConversionCreateDlLayerClassIdConversioncreate_dl_layer_class_id_conversion,
create_dl_layer_concatcreate_dl_layer_concatCreateDlLayerConcatCreateDlLayerConcatCreateDlLayerConcatcreate_dl_layer_concat,
create_dl_layer_convolutioncreate_dl_layer_convolutionCreateDlLayerConvolutionCreateDlLayerConvolutionCreateDlLayerConvolutioncreate_dl_layer_convolution,
create_dl_layer_densecreate_dl_layer_denseCreateDlLayerDenseCreateDlLayerDenseCreateDlLayerDensecreate_dl_layer_dense,
create_dl_layer_depth_maxcreate_dl_layer_depth_maxCreateDlLayerDepthMaxCreateDlLayerDepthMaxCreateDlLayerDepthMaxcreate_dl_layer_depth_max,
create_dl_layer_dropoutcreate_dl_layer_dropoutCreateDlLayerDropoutCreateDlLayerDropoutCreateDlLayerDropoutcreate_dl_layer_dropout,
create_dl_layer_elementwisecreate_dl_layer_elementwiseCreateDlLayerElementwiseCreateDlLayerElementwiseCreateDlLayerElementwisecreate_dl_layer_elementwise,
create_dl_layer_loss_cross_entropycreate_dl_layer_loss_cross_entropyCreateDlLayerLossCrossEntropyCreateDlLayerLossCrossEntropyCreateDlLayerLossCrossEntropycreate_dl_layer_loss_cross_entropy,
create_dl_layer_loss_ctccreate_dl_layer_loss_ctcCreateDlLayerLossCtcCreateDlLayerLossCtcCreateDlLayerLossCtccreate_dl_layer_loss_ctc,
create_dl_layer_loss_distancecreate_dl_layer_loss_distanceCreateDlLayerLossDistanceCreateDlLayerLossDistanceCreateDlLayerLossDistancecreate_dl_layer_loss_distance,
create_dl_layer_loss_focalcreate_dl_layer_loss_focalCreateDlLayerLossFocalCreateDlLayerLossFocalCreateDlLayerLossFocalcreate_dl_layer_loss_focal,
create_dl_layer_loss_hubercreate_dl_layer_loss_huberCreateDlLayerLossHuberCreateDlLayerLossHuberCreateDlLayerLossHubercreate_dl_layer_loss_huber,
create_dl_layer_lrncreate_dl_layer_lrnCreateDlLayerLrnCreateDlLayerLrnCreateDlLayerLrncreate_dl_layer_lrn,
create_dl_layer_poolingcreate_dl_layer_poolingCreateDlLayerPoolingCreateDlLayerPoolingCreateDlLayerPoolingcreate_dl_layer_pooling,
create_dl_layer_reshapecreate_dl_layer_reshapeCreateDlLayerReshapeCreateDlLayerReshapeCreateDlLayerReshapecreate_dl_layer_reshape,
create_dl_layer_softmaxcreate_dl_layer_softmaxCreateDlLayerSoftmaxCreateDlLayerSoftmaxCreateDlLayerSoftmaxcreate_dl_layer_softmax,
create_dl_layer_transposed_convolutioncreate_dl_layer_transposed_convolutionCreateDlLayerTransposedConvolutionCreateDlLayerTransposedConvolutionCreateDlLayerTransposedConvolutioncreate_dl_layer_transposed_convolution,
create_dl_layer_zoom_factorcreate_dl_layer_zoom_factorCreateDlLayerZoomFactorCreateDlLayerZoomFactorCreateDlLayerZoomFactorcreate_dl_layer_zoom_factor,
create_dl_layer_zoom_sizecreate_dl_layer_zoom_sizeCreateDlLayerZoomSizeCreateDlLayerZoomSizeCreateDlLayerZoomSizecreate_dl_layer_zoom_size,
create_dl_layer_zoom_to_layer_sizecreate_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizeCreateDlLayerZoomToLayerSizecreate_dl_layer_zoom_to_layer_size
模块
深度学习训练