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Forward by index


Execute the forward pass of the model (alls layers).

Input parameters


Model in : model architecture.

data in : array

input_order : integer, index of input layer.
input_data : variant, input(s) data of the model.

train_mode : enum

  • Nothing : do nothing.
  • Training : Sets the “training?” parameter to true for all layers of the model.
  • Predict : Sets the “training?” parameter to false for all layers of the model.


Output parameters


Model out : model architecture.

outputs_data : array

Β name :Β string,Β name of layer.
Β index :Β integer,Β index of layer.
Β shape :Β array,Β shape of layer.
Β data :Β variant,Β output layer prediction. This data correspond to an array of type [sgl] of dimension 2D, 3D, 4D, 5D or 6D (indicated by dimension)


All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install HAIBAL library to run it).

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