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SOTA
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Accelerator Toolkit
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Deep Learning Toolkit
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Computer Vision Toolkit
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CUDA Toolkit
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- Array size
- Index Array
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Set training status by index
Description
Sets the boolean βtraining?β of layer selected by index given as input. If the boolean is βTrueβ, then a layer backward is performed.
Input parameters
Model in : model architecture.
Β index :Β integer,Β layer index.
Β training? : boolean, performs the backward of the layer if true.
Output parameters
Model out : model architecture.
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 Deep Learning library to run it).
Using the βSet Train Status by indexβ function
1 – Define Graph
We define the graph with one input and two Dense layers named Dense1 and Dense2 parameterized in different ways.
2 – Set Function
We use the “Set Train Status by index” function to set to “True” the boolean (training ?) that allows the training of the layer at index 2.
3 – Get Function
We use the “Get All Train Status” function to get the value of the “training?” parameter for all layers of the model.
