create_dl_layer_dropoutT_create_dl_layer_dropoutCreateDlLayerDropoutCreateDlLayerDropoutcreate_dl_layer_dropout (Operator)

Name

create_dl_layer_dropoutT_create_dl_layer_dropoutCreateDlLayerDropoutCreateDlLayerDropoutcreate_dl_layer_dropout — Create a DropOut layer.

Signature

create_dl_layer_dropout( : : DLLayerInput, LayerName, Probability, GenParamName, GenParamValue : DLLayerDropOut)

Herror T_create_dl_layer_dropout(const Htuple DLLayerInput, const Htuple LayerName, const Htuple Probability, const Htuple GenParamName, const Htuple GenParamValue, Htuple* DLLayerDropOut)

void CreateDlLayerDropout(const HTuple& DLLayerInput, const HTuple& LayerName, const HTuple& Probability, const HTuple& GenParamName, const HTuple& GenParamValue, HTuple* DLLayerDropOut)

HDlLayer HDlLayer::CreateDlLayerDropout(const HString& LayerName, double Probability, const HTuple& GenParamName, const HTuple& GenParamValue) const

HDlLayer HDlLayer::CreateDlLayerDropout(const HString& LayerName, double Probability, const HString& GenParamName, const HString& GenParamValue) const

HDlLayer HDlLayer::CreateDlLayerDropout(const char* LayerName, double Probability, const char* GenParamName, const char* GenParamValue) const

HDlLayer HDlLayer::CreateDlLayerDropout(const wchar_t* LayerName, double Probability, const wchar_t* GenParamName, const wchar_t* GenParamValue) const   (Windows only)

static void HOperatorSet.CreateDlLayerDropout(HTuple DLLayerInput, HTuple layerName, HTuple probability, HTuple genParamName, HTuple genParamValue, out HTuple DLLayerDropOut)

HDlLayer HDlLayer.CreateDlLayerDropout(string layerName, double probability, HTuple genParamName, HTuple genParamValue)

HDlLayer HDlLayer.CreateDlLayerDropout(string layerName, double probability, string genParamName, string genParamValue)

def create_dl_layer_dropout(dllayer_input: HHandle, layer_name: str, probability: float, gen_param_name: MaybeSequence[str], gen_param_value: MaybeSequence[Union[int, float, str]]) -> HHandle

Description

The operator create_dl_layer_dropoutcreate_dl_layer_dropoutCreateDlLayerDropoutCreateDlLayerDropoutCreateDlLayerDropoutcreate_dl_layer_dropout creates a DropOut layer with probability ProbabilityProbabilityProbabilityProbabilityprobabilityprobability and returns the handle DLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutdllayer_drop_out.

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.

During training, activations within DLLayerInputDLLayerInputDLLayerInputDLLayerInputDLLayerInputdllayer_input are set to zero with probability ProbabilityProbabilityProbabilityProbabilityprobabilityprobability. All other activations are rescaled with (1 - ProbabilityProbabilityProbabilityProbabilityprobabilityprobability).

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_dropoutcreate_dl_layer_dropoutCreateDlLayerDropoutCreateDlLayerDropoutCreateDlLayerDropoutcreate_dl_layer_dropout 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.

Layer Parameters set get
'input_layer'"input_layer""input_layer""input_layer""input_layer""input_layer" (DLLayerInputDLLayerInputDLLayerInputDLLayerInputDLLayerInputdllayer_input)
'name'"name""name""name""name""name" (LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name)
'output_layer'"output_layer""output_layer""output_layer""output_layer""output_layer" (DLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutdllayer_drop_out)
'probability'"probability""probability""probability""probability""probability" (ProbabilityProbabilityProbabilityProbabilityprobabilityprobability)
'shape'"shape""shape""shape""shape""shape"
'type'"type""type""type""type""type"
Generic Layer Parameters set get
'is_inference_output'"is_inference_output""is_inference_output""is_inference_output""is_inference_output""is_inference_output"
'num_trainable_params'"num_trainable_params""num_trainable_params""num_trainable_params""num_trainable_params""num_trainable_params"

Execution Information

Parameters

DLLayerInputDLLayerInputDLLayerInputDLLayerInputDLLayerInputdllayer_input (input_control)  dl_layer HDlLayer, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Feeding layer.

LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name (input_control)  string HTuplestrHTupleHtuple (string) (string) (HString) (char*)

Name of the output layer.

ProbabilityProbabilityProbabilityProbabilityprobabilityprobability (input_control)  number HTuplefloatHTupleHtuple (real) (double) (double) (double)

Probability.

Default value: 0.5

GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control)  attribute.name(-array) HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)

Generic input parameter names.

Default value: []

List of values: 'is_inference_output'"is_inference_output""is_inference_output""is_inference_output""is_inference_output""is_inference_output"

GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (input_control)  attribute.value(-array) HTupleMaybeSequence[Union[int, float, str]]HTupleHtuple (string / integer / real) (string / int / long / double) (HString / Hlong / double) (char* / Hlong / double)

Generic input parameter values.

Default value: []

Suggested values: 'true'"true""true""true""true""true", 'false'"false""false""false""false""false"

DLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutDLLayerDropOutdllayer_drop_out (output_control)  dl_layer HDlLayer, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

DropOut layer.

Module

Deep Learning Training