set_dl_model_layer_paramT_set_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param (Operator)
Name
set_dl_model_layer_paramT_set_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param — Set parameter values of a given layer.
Signature
void SetDlModelLayerParam(const HTuple& DLModelHandle, const HTuple& LayerName, const HTuple& ParamName, const HTuple& ParamValue)
static void HDlLayer::SetDlModelLayerParam(const HDlModel& DLModelHandle, const HString& LayerName, const HString& ParamName, const HTuple& ParamValue)
static void HDlLayer::SetDlModelLayerParam(const HDlModel& DLModelHandle, const HString& LayerName, const HString& ParamName, const HString& ParamValue)
static void HDlLayer::SetDlModelLayerParam(const HDlModel& DLModelHandle, const char* LayerName, const char* ParamName, const char* ParamValue)
static void HDlLayer::SetDlModelLayerParam(const HDlModel& DLModelHandle, const wchar_t* LayerName, const wchar_t* ParamName, const wchar_t* ParamValue)
(Windows only)
Description
The operator set_dl_model_layer_paramset_dl_model_layer_paramSetDlModelLayerParamSetDlModelLayerParamSetDlModelLayerParamset_dl_model_layer_param sets the value
ParamValueParamValueParamValueParamValueparamValueparam_value of the parameter ParamNameParamNameParamNameParamNameparamNameparam_name for a layer.
The layer is referred to by its name LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name in the model
DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle. You can retrieve the layer names using
get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param with its option 'layer_names'"layer_names""layer_names""layer_names""layer_names""layer_names" or
'summary'"summary""summary""summary""summary""summary".
Which generic and layer-specific parameters can be set is described
in the entries of the operators (create_dl_layer_*), which
are used for creating the layer.
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
DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle (input_control) dl_model → HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Deep learning model.
LayerNameLayerNameLayerNameLayerNamelayerNamelayer_name (input_control) string → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Name of the output layer.
ParamNameParamNameParamNameParamNameparamNameparam_name (input_control) attribute.name → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Name of the set parameter.
Default value: []
List of values: 'bias_filler'"bias_filler""bias_filler""bias_filler""bias_filler""bias_filler", 'bias_filler_const_val'"bias_filler_const_val""bias_filler_const_val""bias_filler_const_val""bias_filler_const_val""bias_filler_const_val", 'bias_filler_variance_norm'"bias_filler_variance_norm""bias_filler_variance_norm""bias_filler_variance_norm""bias_filler_variance_norm""bias_filler_variance_norm", 'bias_term'"bias_term""bias_term""bias_term""bias_term""bias_term", 'is_inference_output'"is_inference_output""is_inference_output""is_inference_output""is_inference_output""is_inference_output", 'leaky_relu_alpha'"leaky_relu_alpha""leaky_relu_alpha""leaky_relu_alpha""leaky_relu_alpha""leaky_relu_alpha", 'learning_rate_multiplier'"learning_rate_multiplier""learning_rate_multiplier""learning_rate_multiplier""learning_rate_multiplier""learning_rate_multiplier", 'learning_rate_multiplier_bias'"learning_rate_multiplier_bias""learning_rate_multiplier_bias""learning_rate_multiplier_bias""learning_rate_multiplier_bias""learning_rate_multiplier_bias", 'name'"name""name""name""name""name", 'upper_bound'"upper_bound""upper_bound""upper_bound""upper_bound""upper_bound", 'weight_filler'"weight_filler""weight_filler""weight_filler""weight_filler""weight_filler", 'weight_filler_const_val'"weight_filler_const_val""weight_filler_const_val""weight_filler_const_val""weight_filler_const_val""weight_filler_const_val", 'weight_filler_variance_norm'"weight_filler_variance_norm""weight_filler_variance_norm""weight_filler_variance_norm""weight_filler_variance_norm""weight_filler_variance_norm"
ParamValueParamValueParamValueParamValueparamValueparam_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)
Value of the set parameter.
Default value: []
List of values: 'const'"const""const""const""const""const", 'false'"false""false""false""false""false", 'msra'"msra""msra""msra""msra""msra", 'norm_average'"norm_average""norm_average""norm_average""norm_average""norm_average", 'norm_in'"norm_in""norm_in""norm_in""norm_in""norm_in", 'norm_out'"norm_out""norm_out""norm_out""norm_out""norm_out", 'true'"true""true""true""true""true", 'xavier'"xavier""xavier""xavier""xavier""xavier"
See also
set_dl_model_paramset_dl_model_paramSetDlModelParamSetDlModelParamSetDlModelParamset_dl_model_param,
get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param,
get_dl_model_layer_paramget_dl_model_layer_paramGetDlModelLayerParamGetDlModelLayerParamGetDlModelLayerParamget_dl_model_layer_param
Module
Deep Learning Training