Deep Learning - Framework🔗
Operators🔗
create_dl_layer_activation: Create an activation layer.
create_dl_layer_affine_grid: Create an affine grid layer.
create_dl_layer_anchors: Create a layer for generating anchor boxes.
create_dl_layer_batch_normalization: Create a batch normalization layer.
create_dl_layer_box_proposals: Create a layer for generating box proposals.
create_dl_layer_box_targets: Create a layer for generating box targets.
create_dl_layer_class_id_conversion: Create a class ID conversion layer.
create_dl_layer_concat: Create a concatenation layer.
create_dl_layer_convolution: Create a convolutional layer.
create_dl_layer_dense: Create a dense layer.
create_dl_layer_depth_max: Create a depth max layer.
create_dl_layer_depth_to_space: Create a depth to space layer.
create_dl_layer_dropout: Create a DropOut layer.
create_dl_layer_elementwise: Create an elementwise layer.
create_dl_layer_gather: Create a gather layer.
create_dl_layer_grid_sample: Create a grid sample layer.
create_dl_layer_identity: Create an identity layer.
create_dl_layer_input: Create an input layer.
create_dl_layer_loss_cross_entropy: Create a cross entropy loss layer.
create_dl_layer_loss_ctc: Create a CTC loss layer.
create_dl_layer_loss_distance: Create a distance loss layer.
create_dl_layer_loss_focal: Create a focal loss layer.
create_dl_layer_loss_huber: Create a Huber loss layer.
create_dl_layer_lrn: Create a LRN layer.
create_dl_layer_matmul: Create a MatMul layer.
create_dl_layer_permutation: Create a permutation layer.
create_dl_layer_pooling: Create a pooling layer.
create_dl_layer_reduce: Create a reduce layer.
create_dl_layer_reshape: Create a reshape layer.
create_dl_layer_roi_pooling: Create an ROI pooling layer.
create_dl_layer_slice: Create a slice layer.
create_dl_layer_softmax: Create a softmax layer.
create_dl_layer_transposed_convolution: Create a transposed convolution layer.
create_dl_layer_zoom_factor: Create a zoom layer using size factors.
create_dl_layer_zoom_size: Create a zoom layer using an absolute output size.
create_dl_layer_zoom_to_layer_size: Create a zoom layer using the output size of a reference layer.
create_dl_model: Create a deep learning model.
get_dl_layer_param: Return the parameters of a deep learning layer.
get_dl_model_layer: Create a deep copy of the layers and all
of their graph ancestors in a given deep learning model.
get_dl_model_layer_activations: Get the activations of a Deep Learning model layer.
get_dl_model_layer_gradients: Get the gradients of a Deep Learning model layer.
get_dl_model_layer_param: Retrieve parameter values for a given layer.
get_dl_model_layer_weights: Get the weights (or values) of a Deep Learning model layer.
load_dl_model_weights: Load the weights of a source model into a target model.
set_dl_model_layer_param: Set parameter values of a given layer.
set_dl_model_layer_weights: Set the weights (or values) of a Deep Learning model layer.