For some reason, Libdl.find_library is not searching in
the Libdl.DL_LOAD_PATH paths
The following commands:
push!(Libdl.DL_LOAD_PATH, "/path_to_my_lib")
Libdl.find_library(["libmy_lib.so"])
returns an empty string. Although, putting "/path_to_my_lib" into the
LD_LIBRARY_PATH works fine.
My
Hi,
博陈 writes:
> The julia code:
>
> !f90tojl.f90
> module m
> contains
> integer function five()
> five = 5
> end function five
> end module m
>
> The corresponding julia code:
> #test.jl
> println(ccall( (:__m_MOD_five, "f90tojl"), Int, () ))
>
> The test command and
Oh, now I see that just by copying plot_5 with a new name plot_6 and
replacing
plot( plot_1, plot_2, plot_3, plot_4, plot_5, plot_5, layout = lay )
with
plot( plot_1, plot_2, plot_3, plot_4, plot_5, plot_6, layout = lay ),
it works. But IT IS a bug, there is no reason why should not be able
在 2016年11月15日星期二 UTC+8下午4:29:17,Ángel de Vicente写道:
>
> Hi,
>
> 博陈 writes:
> > The julia code:
> >
> > !f90tojl.f90
> > module m
> > contains
> > integer function five()
> > five = 5
> > end function five
> > end module m
> >
> > The corresponding julia code:
FWIW this is should work fine on master and the solution is likely to be
backported to the next 0.5.x version
(https://github.com/JuliaLang/julia/pull/19245).
On Sunday, November 13, 2016 at 10:16:20 AM UTC-6, bogumil@gmail.com
wrote:
>
> Consider the following two functions:
>
> function
Hi,
I wanted to try this out. My test Fortran module is the following, which
I compile with: ifort -mkl -o test_mod.so test_mod.f90 -shared -fpic
,
| module testmodule
|
| implicit none
|
| double precision, external :: ddot
| double precision, dimension(3) :: d,e
|
| integer :: i
Full code
https://github.com/hpoit/MLN.jl/blob/master/Factor.jl
https://github.com/hpoit/MLN.jl/blob/master/FactorOperations.jl
On Tue, Nov 15, 2016 at 3:05 PM, Kevin Liu wrote:
> This is weird. Please observe include() in the two attachments I've made.
>
> On Tue, Nov 15,
For some reason, now everything just worked.
On Tuesday, November 15, 2016 at 3:09:07 PM UTC-2, Kevin Liu wrote:
>
> Full code
>
> https://github.com/hpoit/MLN.jl/blob/master/Factor.jl
> https://github.com/hpoit/MLN.jl/blob/master/FactorOperations.jl
>
> On Tue, Nov 15, 2016 at 3:05 PM, Kevin
In some high performance code I want to convert an 2 x n `Matrix{Float64}`
to a n long `Matrix{Vec{2,Float64}}`with no memory allocation (both types
will store memory in the same order). The following works:
*v=rand(2,100)*
*w=unsafe_wrap(Vector{Vec{2,Float64}},*
*
Hi all,
I am new to Julia, I used to use R. And using R packages, the main
difficulty for me is the choice of a package for a given task. Most of the
time, there are many packages solving the same problem, so we have to
choose.
- A first possibility could be the TaskViews, but it is
There's no risk of threading being removed. It's only experimental, as per
Yichao, in the sense that it's currently not ready for production use.
On Tue, Nov 15, 2016 at 9:07 AM, Yichao Yu wrote:
> On Tue, Nov 15, 2016 at 8:42 AM, Florian Oswald
>
Pkg3, the next generation package manager I'm working on will likely
include optional telemetry collection. You'll be asked to opt in or out
when you first use it.
On Tue, Nov 15, 2016 at 5:02 AM, Jérôme Collet
wrote:
> Hi all,
>
>
> I am new to Julia, I used to use R.
Is this what you're looking for?
julia> using SIMD
julia> v = rand(2, 5)
2×5 Array{Float64,2}:
0.391832 0.785861 0.352291 0.874891 0.874593
0.697768 0.51637 0.711525 0.400077 0.266559
julia> w = reinterpret(Vec{2, Float64}, vec(v))
5-element Array{SIMD.Vec{2,Float64},1}:
This was not the problem.
The problem was, that I was using "Run" from within Juno. In that case, the
result
of @benchmark is not printed.
Using:
println(@benchmark )
solved the problem.
Uwe
On Monday, November 14, 2016 at 3:12:31 PM UTC+1, Yichao Yu wrote:
>
> On Mon, Nov 14, 2016 at
Le lundi 14 novembre 2016 à 14:18 -0800, Hongwei Liu a écrit :
> Hi guys,
>
> I am new to Julia and I have trouble in finding a similar function in
> Julia that has the ability of "update" in R.
>
> For example, set formula = y ~ x1 + x2
>
> In R, I can use update(formula, D ~ . ) to change
That deletes everything, but really I just want to hide the current prompt. So
say this is how the console looks:
julia> println(5)
5
julia>function foo(x)
println(x)
So in this case the users is in the middle of entering something new into the
REPL (i.e. the definition of
I think most of them just have the code pasted into the REPL. That would work
for us as well, but then we can’t do things like eval code in the context of a
specific module.
From: julia-users@googlegroups.com [mailto:julia-users@googlegroups.com] On
Behalf Of cdm
Sent: Monday, November 14,
For now, stars are the best bad measurement we have.
On Tuesday, November 15, 2016 at 8:05:16 AM UTC-8, Jérôme Collet wrote:
>
> Hi all,
>
>
> I am new to Julia, I used to use R. And using R packages, the main
> difficulty for me is the choice of a package for a given task. Most of the
> time,
On Tuesday, November 15, 2016 at 4:23:11 AM UTC-5, 博陈 wrote:
>
> I got
> Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
>
Possibly you need to add the directory containing these files
(/opt/intel/composer_xe_2015.0.090/mkl/lib or similar?) to your
LD_LIBRARY_PATH
These days, I tried a walkaround to implement FFT in julia with the help of
the MKL fft properties.
I wrote a fortran module with several subroutines, in some of which the MKL
FFT function was called. The fortran file was compiled to a shared library.
ifort modules.f90 -parallel -mkl
在 2016年11月16日星期三 UTC+8上午12:49:13,Ángel de Vicente写道:
>
> Hi,
>
> I wanted to try this out. My test Fortran module is the following, which
> I compile with: ifort -mkl -o test_mod.so test_mod.f90 -shared -fpic
> ,
> | module testmodule
> |
> | implicit none
> |
> | double
Serious "give a mouse a cookie syndrome". You can do what you want by
calling 'plot_6 = deepcopy(plot_5)' first.
On Tuesday, November 15, 2016, Ferran Mazzanti
wrote:
> Oh, now I see that just by copying plot_5 with a new name plot_6 and
> replacing
>
> plot( plot_1,
On Friday, November 4, 2016 at 1:28:16 PM UTC-4, David Anthoff wrote:
>
>
> The complete setup is slightly more complicated, but you can imagine just
> the following: start a normal julia REPL. Then include a file that will
> start a server listening on some socket. This server is all async,
On Mon, Nov 14, 2016 at 10:35 PM, Kevin Liu wrote:
> Does indentation affect `include("FactorOperations.jl")`? If I pull it back
No.
> to where `module` starts, it says `incomplete module at ... requires end`.
> Then pushing it under `type` defines `module`.
Unclear what you
On Mon, Nov 14, 2016 at 10:47 PM, Kevin Liu wrote:
> Also, now `function FactorPermute(A::Factor, v::Vector{Int})` won't define,
> throws
>
> TypeError: Tuple: in parameter, expected Type{T}, got Module
>
Apparently `Factor` is still a module. I have no idea what's the full
ok, thanks for that. do you think this is going to change already in v0.6
or will that have to wait until a future release?
On 14 November 2016 at 23:59, Yichao Yu wrote:
> On Mon, Nov 14, 2016 at 5:08 PM, Florian Oswald
> wrote:
> > I'm not sure
On Tue, Nov 15, 2016 at 8:42 AM, Florian Oswald
wrote:
> ok, thanks for that. do you think this is going to change already in v0.6 or
> will that have to wait until a future release?
There will be improvements but it's very likely still going to be
experimental in 0.6.
it seems like some of the client.jl code
https://github.com/JuliaLang/julia/blob/master/base/client.jl
should provide the foundation ...
maybe something around active_repl_backend or some active_repl
switching.
also from code comments:
atreplinit(f)
Register a one-argument function to
I would like to accelerate the move of `julia-users` to
https://discourse.julialang.org. In the original announcement
(https://groups.google.com/d/msg/julia-users/Ov1J6MOVly0/cD7vNKOUAgAJ) I
mentioned a evaluation period of 4 weeks, but since then members of the
community have been approaching
29 matches
Mail list logo