SciSharp/community

.NET based ecosystem of open-source software for mathematics, science, and engineering.

Brendan Mulcahy

@BrendanMulcahy

Yeah I check them out whenever I run into trouble :)

Meinrad Recheis

@henon

if you happen to build one that would complement our examples you might want to add it

Brendan Mulcahy

@BrendanMulcahy

BTW, the examples in the readthedocs are all super outdated

Last I checked earlier this week. I could try fixing the read the docs

Is that managed in github somehow

Meinrad Recheis

@henon

I guess it is, @Oceania2018 would know

Haiping Chen

@Oceania2018

@BrendanMulcahy Just fork repo, all the docs is in the docs folder.

Brendan Mulcahy

@BrendanMulcahy

Cool, thanks!

Haiping Chen

@Oceania2018

I’m doing the TensorFlow 2.0 in my local. But no eager mode for the first stage.

Brendan Mulcahy

@BrendanMulcahy

Do you guys prefer doing using() or the with<>(...)? I find the using more C#

Haiping Chen

@Oceania2018

We all use using for v0.11.

with<> is replaced with tf_with just for internal use.

You can use all the APIs started with tf.xxx.

Brendan Mulcahy

@BrendanMulcahy

Ok, does this work correctly then:
using (var ns = tf.name_scope(name)) { ... }

Haiping Chen

@Oceania2018

Yes, works.

Brendan Mulcahy

@BrendanMulcahy

Is there any substitute for tf.nn.in_top_k(...) ?

Eli Belash

@Nucs

gen_ops.in_top_k(...)

Brendan Mulcahy

@BrendanMulcahy

Awesome, thanks!

I didnt see it when I searched in github

Eli Belash

@Nucs

I used resharper's Ctrl+N (tick include library)

Brendan Mulcahy

@BrendanMulcahy

Good idea, although I think its bound to CTRL+T by default (search everywhere)

Meinrad Recheis

@henon

Is there any substitute for tf.nn.in_top_k(...) ?

you just found something that is missing in the tf.nn. namespace.

Brendan Mulcahy

@BrendanMulcahy

Want me to submit a PR?

Meinrad Recheis

@henon

yes please

Brendan Mulcahy

@BrendanMulcahy

SciSharp/TensorFlow.NET#353

Looks like there are flaky unit tests or something

Meinrad Recheis

@henon

what do you mean by 'flaky' ?

not enough, I would guess

Brendan Mulcahy

@BrendanMulcahy

Looks like the tests are failing in the AppVeyor build even though I touched pretty much nothing. Flaky meaning sometimes they succeed sometimes they fail (unless they are always failing then they arent flaky haha)

IMO You guys should consider setting up a code owners file if you havent already discussed it

Meinrad Recheis

@henon

@Oceania2018 let's discuss setting up a code owners file

Иван Сердюк

@oceanfish81_twitter

@BrendanMulcahy , I think I have two people proposed AI use cases (for gaming). Both considered Unity - but other C# (C#->native code generation) might be used

Brendan Mulcahy

@BrendanMulcahy

@BrendanMulcahy , I think I have two people proposed AI use cases (for gaming). Both considered Unity - but other C# (C#->native code generation) might be used

We took this offline, thanks for reaching out

Haiping Chen

@Oceania2018

@henon @BrendanMulcahy Add a CODEOWNERS file is a great idea. This automatically requests reviews from the code owners when a pull request changes any owned files.

Brendan Mulcahy

@BrendanMulcahy

Yeah exactly, we use it at my work and like it quite a bit. Basically the owners get pinged whenever there is a PR for a file they "own" You can setup a codeowners at the root of the project if you want to get pinged for everything. I can submit an example codeowners in a PR if you want

Haiping Chen

@Oceania2018

Yes, please.

# These owners will be the default owners for everything in the repo.
*       @Oceania2018

Brendan Mulcahy

@BrendanMulcahy

@Oceania2018 SciSharp/TensorFlow.NET#354

Eric Erhardt

@eerhardt

@Sergio0694 - your project looks pretty cool. Was there a reason you chose GPL for the license? A lot of .NET OSS libraries are using Apache 2.0 or MIT licenses. Of course, I'm not a lawyer, but I don't think MIT or Apache licensed libraries can use a GPL licensed library. So this may limit who can/will use ComputeSharp.

Anh B. Tran

@anhtran1010

Hi guys. I am curious about what I need to get for a simple Q-learning algorithm using the SciSharp. I know that NumSharp would probably be important but if there is anyother tips you guys would like to share for a newbie, that would be great.

Иван Сердюк

@oceanfish81_twitter

Hi guys. I am curious about what I need to get for a simple Q-learning algorithm using the SciSharp. I know that NumSharp would probably be important but if there is any other tips you guys would like to share for a newbie, that would be great.

@Oceania2018 , it looks like Anh is aware of C# and is heading to rely on Python. He was mentioned among IronPython end-users, in such a context

Sergio Pedri

@Sergio0694

Hey @eerhardt - glad to hear you like the project 😊
No particular reason for GPL3, it was just kinda my go-to license as I see it used in a lot of open source softwares.
I'll need to check the other two licenses you mentioned to see what are the main differences!

Eli Belash

@Nucs

Hi guys. I am curious about what I need to get for a simple Q-learning algorithm using the SciSharp. I know that NumSharp would probably be important but if there is anyother tips you guys would like to share for a newbie, that would be great.

That would be TF.NET which also uses NumSharp.
If you need a C# OOP architecture similar to openai/gym then you can also use Gym.NET

Haiping Chen

@Oceania2018

@Sergio0694 Is the ComputeSharp only works in Windows?

Anh B. Tran

@anhtran1010

Thank you. I will try and see if it work. I think I will also create an object recognition program just for fun and see how it goes with this

Eli Belash

@Nucs

@anhtran1010, Feel free to DM me if you need help

Sergio Pedri

@Sergio0694

@Oceania2018 Unfortunately it only works on Windows, as it needs DX12 for the shaders 😕

Johnathan Ingle

@jingle1000

Does anyone here know if it is possible to convert a NumSharp NDArray to a generic .NET array?
let x = np.linspace(-10.0, 10.0, 100)
let y = x.ToArray<double>() |> Seq.map(fun x -> x*x)
The f# function above does not work

Haiping Chen

@Oceania2018

try nd.Data<float>().

Eli Belash

@Nucs

Are you getting an exception? Because if you are using NumSharp 0.20, it should.

Johnathan Ingle

@jingle1000

Ah, I am using 0.10.6

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