Skip to content

Deep Learning - Framework🔗

Operators🔗

create_dl_layer_activationCreateDlLayerActivation: Create an activation layer.

create_dl_layer_affine_gridCreateDlLayerAffineGrid: Create an affine grid layer.

create_dl_layer_anchorsCreateDlLayerAnchors: Create a layer for generating anchor boxes.

create_dl_layer_batch_normalizationCreateDlLayerBatchNormalization: Create a batch normalization layer.

create_dl_layer_box_proposalsCreateDlLayerBoxProposals: Create a layer for generating box proposals.

create_dl_layer_box_targetsCreateDlLayerBoxTargets: Create a layer for generating box targets.

create_dl_layer_class_id_conversionCreateDlLayerClassIdConversion: Create a class ID conversion layer.

create_dl_layer_concatCreateDlLayerConcat: Create a concatenation layer.

create_dl_layer_convolutionCreateDlLayerConvolution: Create a convolutional layer.

create_dl_layer_denseCreateDlLayerDense: Create a dense layer.

create_dl_layer_depth_maxCreateDlLayerDepthMax: Create a depth max layer.

create_dl_layer_depth_to_spaceCreateDlLayerDepthToSpace: Create a depth to space layer.

create_dl_layer_dropoutCreateDlLayerDropout: Create a DropOut layer.

create_dl_layer_elementwiseCreateDlLayerElementwise: Create an elementwise layer.

create_dl_layer_gatherCreateDlLayerGather: Create a gather layer.

create_dl_layer_grid_sampleCreateDlLayerGridSample: Create a grid sample layer.

create_dl_layer_identityCreateDlLayerIdentity: Create an identity layer.

create_dl_layer_inputCreateDlLayerInput: Create an input layer.

create_dl_layer_loss_cross_entropyCreateDlLayerLossCrossEntropy: Create a cross entropy loss layer.

create_dl_layer_loss_ctcCreateDlLayerLossCtc: Create a CTC loss layer.

create_dl_layer_loss_distanceCreateDlLayerLossDistance: Create a distance loss layer.

create_dl_layer_loss_focalCreateDlLayerLossFocal: Create a focal loss layer.

create_dl_layer_loss_huberCreateDlLayerLossHuber: Create a Huber loss layer.

create_dl_layer_lrnCreateDlLayerLrn: Create a LRN layer.

create_dl_layer_matmulCreateDlLayerMatmul: Create a MatMul layer.

create_dl_layer_permutationCreateDlLayerPermutation: Create a permutation layer.

create_dl_layer_poolingCreateDlLayerPooling: Create a pooling layer.

create_dl_layer_reduceCreateDlLayerReduce: Create a reduce layer.

create_dl_layer_reshapeCreateDlLayerReshape: Create a reshape layer.

create_dl_layer_roi_poolingCreateDlLayerRoiPooling: Create an ROI pooling layer.

create_dl_layer_sliceCreateDlLayerSlice: Create a slice layer.

create_dl_layer_softmaxCreateDlLayerSoftmax: Create a softmax layer.

create_dl_layer_transposed_convolutionCreateDlLayerTransposedConvolution: Create a transposed convolution layer.

create_dl_layer_zoom_factorCreateDlLayerZoomFactor: Create a zoom layer using size factors.

create_dl_layer_zoom_sizeCreateDlLayerZoomSize: Create a zoom layer using an absolute output size.

create_dl_layer_zoom_to_layer_sizeCreateDlLayerZoomToLayerSize: Create a zoom layer using the output size of a reference layer.

create_dl_modelCreateDlModel: Create a deep learning model.

get_dl_layer_paramGetDlLayerParam: Return the parameters of a deep learning layer.

get_dl_model_layerGetDlModelLayer: Create a deep copy of the layers and all of their graph ancestors in a given deep learning model.

get_dl_model_layer_activationsGetDlModelLayerActivations: Get the activations of a Deep Learning model layer.

get_dl_model_layer_gradientsGetDlModelLayerGradients: Get the gradients of a Deep Learning model layer.

get_dl_model_layer_paramGetDlModelLayerParam: Retrieve parameter values for a given layer.

get_dl_model_layer_weightsGetDlModelLayerWeights: Get the weights (or values) of a Deep Learning model layer.

load_dl_model_weightsLoadDlModelWeights: Load the weights of a source model into a target model.

set_dl_model_layer_paramSetDlModelLayerParam: Set parameter values of a given layer.

set_dl_model_layer_weightsSetDlModelLayerWeights: Set the weights (or values) of a Deep Learning model layer.