Accelerate

Thank you for your reply, Trevor! Sorry for the long delay from my side. I tried to build master of

Hello! I am trying to use Accelerate on M1 (also known as Apple Silicon) Macbook with this stack

Hi Trevor! Thank you for the reply! It is my first time using a Google Group, so I got confused and

Hi! I am trying to implement APL's key operator in Haskell using Accelerate. My first attempt to

Hi Aleksandr, I think adding the more flexible indexing to Accelerate would be good, and could make

Le samedi 4 juillet 2020 02:12:55 UTC+2, Alexandre Delanoë a écrit : example :: Acc (Matrix a) ->

Thanks for your reply. It's quite curious and something to definitely keep in mind when

I just wanted to follow up on this to let you know that I was able to follow your instructions and

Hi Trevor, it seems that I have resolved the issue. I was using the packages from the https://

Hi Trevor, thank you very much for your hint. Indeed, the most current version doesn't have this

Dear all, i would like to use runQ in my code, but get linking errors during the build. I have

Hi, I'm fairly new to Haskell and very new to nix. The idea of building with nix appeals to me

Hi Lyle, Yes, there is a flag you can set to disable building the CUDA backends. In your `stack.yaml`

Hi! Sorry for the slow reply. I think, I didn't have much more to add? I think adding `Nat` as an

Hi Henning, ah .. stupid me. This seems to work fine for me for now, thanks a lot again for your

Hey Adam, On Wed, 31 Oct 2018 at 14:39 <asmith.multiply@gmail.com> wrote: Thanks Trevor. Re

Hi, Basic stuff here as I'm new at this really. I change the stack.yaml file as instructed and

Le 06 juin 18, vers 09:00, Henning Thielemann ecrivait: > > On Tue, 5 Jun 2018, Alexandre

On Wed, 18 Apr 2018, Trevor McDonell wrote: > This is what it looks like for me (and the same in

On Tue, 17 Apr 2018, Trevor McDonell wrote: > Having an intermediate class might be an option, but

Regarding TensorFlow (and PyTorch, etc), it is important to note that TF is designed specifically for

Hi Trevor, On Tue, 12 Dec 2017, Trevor McDonell wrote: > Then, how about exporting a function that

On Wed, 29 Nov 2017, Trevor McDonell wrote: > You can get all the old releases here (linked from

Thanks a lot! After learning more about Cabal now I feel this was a very silly question. :) Hopefully

Hi, Most likely, Accelerate will never support arrays of functions —- this goes against the design

Hey Andrew, Glad to hear that it helped (: Good luck. I'm interested to hear how it turns out (

Hi Panos, I am trying to process an Acc (Vector e) in the following way: a) Apply take n and drop n

Hi Trev, Thank you very much for your reply, I found out about run1 a few hours after posting so this

I asked this as an issue in github: https://github.com/AccelerateHS/accelerate-llvm/issues/19 as I

Yes. The usual fusion rules apply to these. There are some notes about fusion here, which should