arrayfire | ArrayFire : a general purpose GPU library | GPU library
kandi X-RAY | arrayfire Summary
kandi X-RAY | arrayfire Summary
Instructions to install or to build ArrayFire from source can be found on the wiki.
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Trending Discussions on arrayfire
QUESTION
I'm trying to figure out how to implement max pooling on Arrayfire. My current best approach involves iterating over each convolved output and apply a function which applies four kernels, [1 0 0 0], [0 1 0 0], [0 0 1 0], [0 0 0 1], and produces four outputs, which I can then compare for the maximum value at each pixel.
My issue with that is it seems terribly slow and incorrect to be looping like that in a tensor library, but I haven't been able to come up with a better solution
...ANSWER
Answered 2022-Feb-15 at 03:11I have settled on the following: index the quandrants with seq, then grab the maximums
QUESTION
I have the following piece of code that needs to optimized (and be later ported to the GPU through SYCL or ArrayFire):
...ANSWER
Answered 2022-Jan-20 at 16:46There is a blog post about how to implement an alternative to function pointers using SYCL on this website. The solution uses the template feature and function objects instead. I believe the history of this is that most hardware doesn't support jumping to computed addresses.
QUESTION
I'm trying to use the matching_template function from the ArrayFire library But I don't know how to find the X and Y coordinates of the best matching value. I was using the imageproc library to perform this function and there it has the find_extremes function that returns the coordinates to me. How would you do the same using ArrayFire lib?
My example using imageproc
...ANSWER
Answered 2021-Nov-18 at 10:54Arrayfire doesn't provide "extremum" function, but separate min and max families of functions.
The one that provides index informations are prefixed with i
.
imin_all
and imax_all
returns the min and max value indexes respectively wrapped in a tupple.
You can derive pixel position from value indexes and array dimensions, knowing that arrayfire is column major.
QUESTION
I can already cross-compile some simple applications using x86_64-w64-mingw32-g++
. However, I cannot find out how to find libraries for my project (in my case I need to use SDL2 and SDL2_image). I know how to install these libraries already (sudo apt install libsdl2-dev libsdl2-image-dev
), but apt search
does not show any libraries for x86_64-w640mingw32-g++
.
Here are the links I've looked at:
https://arrayfire.com/cross-compile-to-windows-from-linux/
https://stackoverflow.com/questions/2033997/how-to-compile-for-windows-on-linux-with-gcc-g
Is there a way to use precompiled libraries, or do I need to add the source code in my project?
Update: I followed the instructions advised by Laurent Jospin, and can compile a "Hello World" program that works with Windows (I sent it to a friend to test). However, I cannot compile my program that uses SDL.
Terminal output:
...ANSWER
Answered 2021-Apr-22 at 04:56What you are looking for is the M Cross Environnement: https://mxe.cc/
It is a set of makefiles able to download and cross compile a selection of popular libraries for windows on linux. By default it builds static libraries, such that you ends up with .a libraries that get merged into the final .exe, meaning you don't have to worry about shipping the dlls with your app. But if you prefer a modular structure, it can also builds some dlls.
The list of libraries they do provide is quite impressive. If a library is missing on the other hand you can still install it by copying the corresponding header files and dlls. In some specific situation you might have to cross-compile one of your dependency (I had to do that for an app using ruby scripting. The official windows build of ruby is somehow incompatible with certain libraries built with mingw. But this is rather exceptional).
QUESTION
I'm trying to learn the Arrayfire idioms by translating some vectorised numpy code.
For example, this is valid rowwise addition and multiplication in numpy,
...ANSWER
Answered 2021-Feb-02 at 06:25As of writing this response, yes that is correct. Array's need to be of same shape. But I would like to point out that we are already working on broadcasting feature for binary operations - here is the PR - we will try to get this feature into a release as soon as we can.
However, even with current release, this limitation can be easily worked around using tile function. Since tile will be a JIT operation for such broadcast operations, it won't allocate any additional memory. The arithmetic operation and tiling operation will be combined into an efficient single launch kernel.
QUESTION
I want to use the plotting functionality of Plots.jl with an image loaded using the load_image()
function of ArrayFire.
What I have is :
...ANSWER
Answered 2020-Oct-19 at 16:48I don't know specifically about ArrayFire arrays, but in general you can use reinterpret
for operations like this. If you want the new array to reside on the cpu, then copy it over.
Then, ideally, you could just do
QUESTION
I want to develop an OpenCL based application with host code in C, using Ubuntu.
But the development packages overwhelm me:
...ANSWER
Answered 2020-Sep-28 at 20:57You don't need any of them. See this answer.
QUESTION
I am trying to modify a value in an existing Arrayfire Matrix with a custom value. Below is an example of changing several rows and columns to a specified value (1.0) However I am struggling no doing two things:
- Change the dimensions of the area to be changed (3x3) -> (2x2) instead.
- Move the area to be changed Horizontally or vertically. Any change I make seems to give an invalid index error.
ANSWER
Answered 2020-Sep-13 at 00:52After days of research I found an answer after reaching out to the author of the library:
QUESTION
When trying to retrieve data from an af::array
(arrayfire) from the device via host()
, my output data on the host is wrong (i.e. wrong values). For testing that, I wrote a small code sample (based on https://stackoverflow.com/a/29212923/2546099):
ANSWER
Answered 2020-Aug-11 at 09:57The datatypes between arrayfire and C are in conflict.
For float use:
QUESTION
I would like to use the ArrayFire library to run multiple artificial neural networks on the GPU in parallel.
Since I am mainly a C# developer I tried to realize it via SiaNet. But I encountered the problem that SiaNet can only run one neural network at a time.
This is because SiaNet and the C# API of ArrayFire do not implement the batchFunc
function.
I wanted to make up for this and built my own little library.
There I call the batchFunc
function and want to build an API which can be called from C# with PInvokes.
The problem is that I can only use af_array
from C#, but the batchFunc
function can only process af::array
. Therefore I need to convert one into the other.
My MatrixMultiply
function, to have a function that I can pass batchFunc
:
ANSWER
Answered 2020-May-28 at 19:43An af::array
instance has a method .get()
, from which you can retrieve an af_array
instance.
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