create_dl_layer_identityT_create_dl_layer_identityCreateDlLayerIdentityCreateDlLayerIdentitycreate_dl_layer_identity (算子)

名称

create_dl_layer_identityT_create_dl_layer_identityCreateDlLayerIdentityCreateDlLayerIdentitycreate_dl_layer_identity — 创建标识层。

签名

描述

算子 create_dl_layer_identitycreate_dl_layer_identityCreateDlLayerIdentityCreateDlLayerIdentityCreateDlLayerIdentitycreate_dl_layer_identity creates an identity layer whose handle is returned in DLLayerIdentityDLLayerIdentityDLLayerIdentityDLLayerIdentityDLLayerIdentitydllayer_identity。

The parameter DLLayerInputDLLayerInputDLLayerInputDLLayerInputDLLayerInputdllayer_input determines the feeding input layer and expects the layer handle as value.

The parameter LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name sets an individual layer name. Note that if creating a model using create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_model each layer of the created network must have a unique name.

The following generic parameters GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name and the corresponding values GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value are supported:

'is_inference_output'"is_inference_output""is_inference_output""is_inference_output""is_inference_output""is_inference_output"：

Determines whether apply_dl_modelapply_dl_modelApplyDlModelApplyDlModelApplyDlModelapply_dl_model will include the output of this layer in the dictionary DLResultBatchDLResultBatchDLResultBatchDLResultBatchDLResultBatchdlresult_batch even without specifying this layer in OutputsOutputsOutputsOutputsoutputsoutputs ('true'"true""true""true""true""true") or not ('false'"false""false""false""false""false").

Default: 'false'"false""false""false""false""false"

Certain parameters of layers created using this operator create_dl_layer_identitycreate_dl_layer_identityCreateDlLayerIdentityCreateDlLayerIdentityCreateDlLayerIdentitycreate_dl_layer_identity can be set and retrieved using further operators. The following tables give an overview, which parameters can be set using set_dl_model_layer_paramset_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param and which ones can be retrieved using get_dl_model_layer_paramget_dl_model_layer_paramGetDlModelLayerParamGetDlModelLayerParamGetDlModelLayerParamget_dl_model_layer_param or get_dl_layer_paramget_dl_layer_paramGetDlLayerParamGetDlLayerParamGetDlLayerParamget_dl_layer_param。Note, the operators set_dl_model_layer_paramset_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param and get_dl_model_layer_paramget_dl_model_layer_paramGetDlModelLayerParamGetDlModelLayerParamGetDlModelLayerParamget_dl_model_layer_param require a model created by create_dl_modelcreate_dl_modelCreateDlModelCreateDlModelCreateDlModelcreate_dl_model。

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

示例（HDevelop）

* Create a model that concatinates the output of a convolution layer.
create_dl_layer_input ('input', [10,10,3], [], [], DLLayerInput)
create_dl_layer_convolution (DLLayerInput, 'conv', 3, 1, 1, 8, 1, 'none', \
                            'none', [], [], DLLayerConvolution)
* Using the same layer multiple times as input does not work, so make a copy.
create_dl_layer_identity (DLLayerConvolution, 'conv_copy', [], [], \
                          DLLayerIdentity)
create_dl_layer_concat ([DLLayerConvolution, DLLayerIdentity], 'concat', \
                        'depth', [], [], DLLayerConcat)
create_dl_model (DLLayerConcat, DLModelHandle)

可能的后继

create_dl_layer_elementwisecreate_dl_layer_elementwiseCreateDlLayerElementwiseCreateDlLayerElementwiseCreateDlLayerElementwisecreate_dl_layer_elementwise, create_dl_layer_concatcreate_dl_layer_concatCreateDlLayerConcatCreateDlLayerConcatCreateDlLayerConcatcreate_dl_layer_concat

模块

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