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SOTA
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Accelerator Toolkit
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Deep Learning Toolkit
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- Attention
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- AdditiveAttention
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- AdditiveAttention
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- Accuracy
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Computer Vision Toolkit
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CUDA Toolkit
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- Resume
- Array size
- Index Array
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- Insert Into Array
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Set warning parameters
Description
Sets the parameters of warning. If “Display Warning ?” is set to “True” then the warning messages are displayed.
Input parameters
Model in : model architecture.
Warning Param : cluster
Β Language : enum, warning language.
Β Display Warning ? : boolean, display warning 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 Warning Paramβ function
1 – Set Function
The “Set Warning Param” function is used to define the language of the warnings and if they are displayed.
2 – Define Graph
We define the graph with one input and Dense layers. We also add an input via the “in/out param” input of the Dense layer. Since here two inputs are defined a warning will be issued.
3 – Get Function
We use the “Get Warning Param” function to get the settings made.
