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SOTA
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Accelerator Toolkit
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Deep Learning Toolkit
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- Exp
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- Add
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- Attention
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- AdditiveAttention
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- Accuracy
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- Dense
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Computer Vision Toolkit
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CUDA Toolkit
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- Resume
- Array size
- Index Array
- Replace Subset
- Insert Into Array
- Delete From Array
- Initialize Array
- Build Array
- Concatenate Array
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- Transpose Array
- Remove Duplicate From 1D Array
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- Resume
- Add
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- Quotient & Remainder
- Increment
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- Add Array Element
- Multiply Array Element
- Absolute
- Round To Nearest
- Round Toward -Infinity
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- Scale By Power Of Two
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Open Log Folder
Description
When an error occurs during the execution of the model it is recorded in a temporary file. The “Open Log Folder” function allows you to open the folder that contains these temporary files.
Input parameters
Model in : model architecture.
Output parameters
Model out : model architecture.
Example
Opens the folder that contains the errors related to the model
We define the graph with one input, one dense layer and one convolution layer.
2 – Clear Errors
We cause a dimensional error between the dense and convolution layer. The output of the dense layer is incompatible with the input of the convolution layer. Indeed, in output of the dense layer we have data in 2D and in input of the convolution data in 3D.
This error is temporarily recorded in a log file.
We use the “Clear Errors” function of LabVIEW to execute our “Open Log Folder.
3 – Log Folder
We use the “Open Log Folder” function to open the folder that contains the error files related to the execution of the model.
