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Loss automatic

Description

Compute the loss according to the one(s) selected during initialization.

Input parameters

 

Model in : model architecture.
y_true_data : variant, true data(s) of the model.

 

Output parameters

 

Model out : model architecture.

 loss_data : cluster

 loss : float, loss value.
 loss_derivate : array

 name : string, name of layer.
 index : integer, index of layer.
 dimension : enum, dimension of the loss derivative.

          • 2D Loss Derivate
          • 3D Loss Derivate
          • 4D Loss Derivate
          • 5D Loss Derivate
          • 6D Loss Derivate

 shape : array, shape of layer.
 data : variant, output layer predictions.

 model_informations : cluster

 Model Name : string, name of model.
 Execution Time : integer, execution time of the backward.
 Device : enum, device where the process is executed.

      • Native LabVIEW
      • GPU

 

Example

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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