create_dl_layer_depth_to_spaceT_create_dl_layer_depth_to_spaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpacecreate_dl_layer_depth_to_space (Operator)

Name

create_dl_layer_depth_to_spaceT_create_dl_layer_depth_to_spaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpacecreate_dl_layer_depth_to_space — Create a depth to space layer.

Signature

Description

The operator create_dl_layer_depth_to_spacecreate_dl_layer_depth_to_spaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpacecreate_dl_layer_depth_to_space creates a depth to space layer whose handle is returned in DLLayerDepthToSpaceDLLayerDepthToSpaceDLLayerDepthToSpaceDLLayerDepthToSpaceDLLayerDepthToSpacedllayer_depth_to_space.

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.

This layer rearranges the elements of the feeding tensor of shape to a tensor of shape . Thereby can be considered an upscale factor, which is set with BlockSizeBlockSizeBlockSizeBlockSizeblockSizeblock_size.

The output element is mapped from the input element .

With ModeModeModeModemodemode the ordering in the output tensor is set. Currently only the 'column_row_depth'"column_row_depth""column_row_depth""column_row_depth""column_row_depth""column_row_depth" order described above is available.

Certain parameters of layers created using this operator create_dl_layer_depth_to_spacecreate_dl_layer_depth_to_spaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpaceCreateDlLayerDepthToSpacecreate_dl_layer_depth_to_space 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.

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

Example (HDevelop)

InputShape := [16, 16, 3]
Upscale := 2
*
create_dl_layer_input ('input', InputShape, [], [], DLLayerInput)
* Create a convolutional layer, that generates Upscale^2*NumChannel feature maps.
create_dl_layer_convolution (DLLayerInput, 'conv1', 3, 1, 1,\
                             Upscale * Upscale * InputShape[2],\
                             1, 'half_kernel_size', 'none',\
                             [],  [], DLLayerConvolution)
* Use a depth to space layer to combine Upscale^2 feature maps to upscale.
create_dl_layer_depth_to_space (DLLayerConvolution, 'upscaled', Upscale,\
                                'column_row_depth',[], [],\
                                DLLayerDepthToSpace)
* The output shape of DLLayerDepthToSpace is now [16*Upscale, 16*Upscale, 3].
create_dl_model (DLLayerDepthToSpace, DLModel)

Possible Predecessors

create_dl_layer_inputcreate_dl_layer_inputCreateDlLayerInputCreateDlLayerInputCreateDlLayerInputcreate_dl_layer_input, create_dl_layer_concatcreate_dl_layer_concatCreateDlLayerConcatCreateDlLayerConcatCreateDlLayerConcatcreate_dl_layer_concat, create_dl_layer_reshapecreate_dl_layer_reshapeCreateDlLayerReshapeCreateDlLayerReshapeCreateDlLayerReshapecreate_dl_layer_reshape

Possible Successors

create_dl_layer_convolutioncreate_dl_layer_convolutionCreateDlLayerConvolutionCreateDlLayerConvolutionCreateDlLayerConvolutioncreate_dl_layer_convolution, create_dl_layer_densecreate_dl_layer_denseCreateDlLayerDenseCreateDlLayerDenseCreateDlLayerDensecreate_dl_layer_dense, create_dl_layer_reshapecreate_dl_layer_reshapeCreateDlLayerReshapeCreateDlLayerReshapeCreateDlLayerReshapecreate_dl_layer_reshape

See also

create_dl_layer_reshapecreate_dl_layer_reshapeCreateDlLayerReshapeCreateDlLayerReshapeCreateDlLayerReshapecreate_dl_layer_reshape

Module

Deep Learning Training