Welcome to our Support Center
-
Quick start
-
API
-
-
- Resume
- Array Size
- Index Array
- Replace Subset
- Insert Into Array
- Delete From Array
- Initialize Array
- Build Array
- Concatenate Array
- Array Subset
- Min & Max
- Reshape Array
- Sort Array
- Reverse 1D Array
- Shuffle Array
- Search In Array
- Split 1D Array
- Split 2D Array
- Rotate 1D Array
- Increment Array Element
- Decrement Array Element
- Interpolate 1D Array
- Threshold 1D Array
- Interleave 1D Array
- Decimate 1D Array
- Transpose Array
- Remove Duplicates From 1D Array
- Show All Articles (12) Collapse Articles
-
-
- Resume
- Sine
- Cosine
- Tangent
- Secant
- Cosecant
- Cotangent
- Inverse Sine
- Inverse Cosine
- Inverse Tangent
- Inverse Secant
- Inverse Cosecant
- Inverse Cotangent
- Sine & Cosine
- Sinc
- Inverse Tangent (2 Input)
- Show All Articles (1) Collapse Articles
-
-
- Resume
- Add
- Substract
- Multiply
- Divide
- Quotient & Remainder
- Increment
- Decrement
- Add Array Element
- Multiply Array Element
- Absolute
- Round To Nearest
- Round Toward -Infinity
- Round Toward +Infinity
- Scale By Power Of Two
- Square Root
- Square
- Negate
- Reciprocal
- Sign
- Show All Articles (5) Collapse Articles
-
-
UpdatedMarch 4, 2025
Host To Device
Description
Copies data between host and device. Type : polymorphic.
Input parameters
Tensor in : class, tensor previously allocated with the “Create Tensor” function.
data : array or float, data of tensor (can be a scalar, 1D, 2D, 3D, 4D, 5D, 6D array).
Output parameters
Tensor out : class
Examples
All these examples 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 Accelerator library to run it).
Table of Contents