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Add toArray1D<type>, toArray2D<type> etc.

See original GitHub issue

I have been trying to incorporate diffsharp into an existing codebase which is based on Math.NET Numerics but I am having trouble with getting standard vectors and matrices from diffsharp tensors. My intention is to check correctness of current calculations with diffsharp.

let t1 = dsharp.tensor [ 0.0 .. 0.2 .. 1.0 ]
let a = t1.toArray()

This returns System.Array which is incompatible with 'a [ ]for some reason.

Is there a way to get typed F# arrays (or 2d arrays) from tensors? A good example to what I need would be that tensorflow can return ndarray from tensors.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:8 (6 by maintainers)

github_iconTop GitHub Comments

dsymecommented, May 26, 2021

It returns a System.Array, which can then be downcast to the right kind of array

The exact type of the array is the natural .NET corresponding type for the element type of tensor, seen here for example:

If we add .toArray1D<float>(), toArray2D<int64>() etc. I guess they will do the job of casting to the requested element type before delivering the results.

gbaydincommented, Jul 31, 2021

Implemented in #360

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