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Get & Set resume

GET

In this section you’ll find a list of all get functionalities available.

  ICONS RESUME
Get all gradient Gets the gradients of all layers contained in the model.
Get gradient by index Gets the weights of the selected layer by the index of this layer.
Get gradient by name Gets the weights of the layer selected by the name of this layer.
Get all store gradient Gets for all layers contained in the model the status of the boolean “store_gradient?”.
Get store gradient by index Gets for the layer selected by the index given as input the status of the boolean “store_gradient?”.
Get store grad by name Gets for the layer selected by the name given as input the status of the boolean “store_gradient?”.
Get all index/name Gets the index and name of all layers contained in the model.
Get index by name Gets the index of the layer selected by the name given as input.
Get name by index Gets the name of the layer selected by the index given as input.
Get all “lda_coeff” Gets the loss derivative attenuation coefficient of all layers contained in the model.
Get “lda_coeff” by index Gets the loss derivative attenuation coefficient of layer selected by the index given as input.
Get “lda_coeff” by name Gets the loss derivative attenuation coefficient of layer selected by the name given as input.
Get all parameters Gets for every layer the parameters cluster.
Get parameters by index Gets the parameter of the layer selected by the index given as input.
Get parameters by name Gets the parameter of the layer selected by the name given as input.
Get all optimizers Gets for every layer the optimizer parameters cluster.
Get optimizer by index Gets the optimizer parameters for the layer selected by the index given as input.
Get optimizer by name Gets the optimizer parameters for the layer selected by the name given as input.
Get all activations Gets the activations for every layers in the model.
Get activation by index Gets the activations of the layer selected by the index given as input.
Get activation by name Gets the activations of the layer selected by the name given as input.
Get all training status Gets for all layers contained in the model the state of the boolean “training_status”.
Get training status by index Gets the boolean “training_status” of layer selected by index given as input.
Get training status by name Gets the boolean “training_status” of layer selected by name given as input.
Get all loss type Gets the information related to the losse of each layer contained in the model.
Get all metrics Gets the information related to the metrics of each layer contained in the model.
Get GPU platform Check if your computer is GPU ready. First check if CUDA is installed, if yes display device informations according to deviceID and check if CuDNN is also installed. If both are installed, it’s GPU ready.
Get platform Gets the type of execution of the model and how it works.
Get exec time Retrieves the execution time for the last forward/loss/backward.
Get HAIBAL version Gets the HAIBAL version.
Get model name Gets the name of the model.
Get warning parameters Gets the parameters of warnings.
Get all input layers shape Gets the input form of the model.
Get all output layers shape Gets the output form of the model.
Get all input shape Gets the input size of each layer contained in the model.
Get input shape by index Gets the input size of the layer selected by the index given as input.
Get input shape by name Gets the input size of the layer selected by the name given as input.
Get all output shape Gets the output size of each layer contained in the model.
Get output shape by index Gets the output size of the layer selected by the index given as input.
Get output shape by name Gets the output size of the layer selected by the name given as input.
Get all init weight Gets for all layers the parameter “init_weight”.
Get init weight by index Gets for the layer selected by the index given as input the parameter “init_weight”.
Get init weight by name Gets for the layer selected by the name given as input the parameter “init_weight”.
Get all weights Gets the weights of all layers contained in the model.
Get all weights shape Gets the form of the weights of every layer contained in the model.
Get all update weights Gets the “update_weight?” parameter of each layer in the model.
Get update weights by index Gets the “update_weight?” parameter of the layer selected by the index given as input.
Get update weights by name Gets the “update_weight?” parameter of the layer selected by the name given as input.

SET

In this section you’ll find a list of all set functionalities available.

   ICONS RESUME
Set Platform Sets the type of execution of the model and how it works.
Set GPU platform Sets the type of execution of the model to CUDA/CuDNN.
Set native LabVIEW platform Sets the type of execution of the model to native LabVIEW.
Set all loss type by index Sets the loss of each layer contained in the model selected by the index.
Set all loss type by name Sets the loss of each layer contained in the model selected by the name.
Set loss type to one branch Sets the loss to be applied to a branch.
Set all metrics by index Sets the metric for each layer contained in the model selected by the index.
Set all metrics by name Sets the metric for each layer contained in the model selected by the name.
Set model name Sets the name of the model.
Warning Parameters Sets the parameters of warning.
Set all store gradient Sets the boolean “store_gradient ? ” of all layers contained in the model.
Set store gradient by index Sets the boolean “store_gradient ? ” of the layer selected by the index given as input.
Set store gradient by name Sets the boolean “store_gradient ? ” of the layer selected by the name given as input.
Set all “lda_coeff” Sets the loss derivative attenuation coefficient of all layers contained in the model.
Set “lda_coeff” by index Sets the loss derivative attenuation coefficient of layer selected by the index given as input.
Set “lda_coeff” by name Sets the loss derivative attenuation coefficient of layer selected by the name given as input.
Set all optimizers Sets for every layer the optimizer parameters cluster.
Set optimizer by index Sets the optimizer parameters for the layer selected by the index given as input.
Set optimizer by name Sets the optimizer parameters for the layer selected by the name given as input.
Set all training status Sets for all layers contained in the model the state of the boolean “training?”.
Set training status by index Sets the boolean “training?” of layer selected by index given as input.
Set training status by name Sets the boolean “training?” of layer selected by name given as input.
Set all activations Sets the same activations for every layer of the model.
Set activation by index Sets the activations of the layer selected by the index given as input.
Set activation by name Sets the activations of the layer selected by the name given as input.
Set all update weights Sets the “update_weight?” parameter of each layer in the model.
Set update weights by index Sets the “update_weight?” parameter of the layer selected by the index given as input.
Set update weights by name Sets the “update_weight?” parameter of the layer selected by the name given as input.
Load all weights by index Sets the weights of the layer selected by the index given as input.
Load all weights by name Sets the weights of the layer selected by the name given as input.
Load all weights model Load the weights of a model.
Set all random weights Creates random weights for all layers in the model.
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