Pytorch clamp method in Julia?

Specific Domains Machine Learning
1

torch.clamp_(out, 0.0, 1.0) in Julia ?

2

I’m not familiar with PyTorch, but:

julia> clamp.(rand(10), 0.3, 0.7)
10-element Vector{Float64}:
 0.7
 0.3
 0.7
 0.3
 0.4230237955951067
 0.685909160414593
 0.7
 0.41101750524323943
 0.4303566233748203
 0.3
4 Likes
3

yes it works ! there is a dot… first time i wrote without dot it did not work
.
thank you !

4

This is fundamental in Julia, see:

https://docs.julialang.org/en/v1/manual/functions/#man-vectorized

clamp operates on scalars:

julia> clamp(5, 0, 2)
2

so when you want to apply it elementwise to a vector of numbers, you either need to write a loop, or vectorize the function by using dot notation.

1 Like
5

you are right i should first learn Julia fundamentals, then translate python to julia