Ack
- Ziheng
On Thu, Aug 27, 2020 at 17:18 Haichen Shen wrote:
> Ack
>
>
>
> On Thu, Aug 27, 2020 at 4:38 PM Thierry Moreau
>
> wrote:
>
>
>
> > Ack
>
> >
>
> >
>
> >
>
> > > On Aug 27, 2020, at 4:36 PM, YiZhi Liu wrote:
>
> >
>
> > >
>
> >
>
> > > Ack
>
> >
>
> > >
>
> >
>
> > > On Thu, Aug
Hi all,
The Apache TVM (incubating) community is happy to announce Apache TVM
(incubating) version 0.7.0!
Apache TVM (incubating) is an open deep learning compiler stack for
CPUs, GPUs, and specialized accelerators. It aims to close the gap
between the productivity-focused deep learning framework
+1
- Ziheng
On Fri, May 14, 2021 at 01:50 Yuchen Jin
wrote:
> +1
>
> --
> You are receiving this because you commented.
> Reply to this email directly or view it on GitHub:
> https://github.com/apache/tvm/issues/7991#issuecomment-840724342
+1
--
You are receiving this because you are subscribed to this thread.
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/9504#issuecomment-968362424
+1
On Tue, Aug 30, 2022 at 08:05 Yuchen Jin
wrote:
> +1
>
> --
> Reply to this email directly or view it on GitHub:
> https://github.com/apache/tvm/issues/12651#issuecomment-1231796765
> You are receiving this because you are subscribed to this thread.
>
> Message ID:
+1 (binding)
--
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/12651#issuecomment-1235948052
You are receiving this because you commented.
Message ID:
Thanks @YuchenJin for updating this RFC!
>From the use-cases that I have observed in my experience, the symbolic shape
>capabilities allows TVM to handle dynamic workloads that cannot be handled in
>other frameworks and get more widely adopted. And we can quickly enable
>iterations of unity co
+1
--
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/15521#issuecomment-1674113751
You are receiving this because you are subscribed to this thread.
Message ID:
+1
--
Reply to this email directly or view it on GitHub:
https://github.com/apache/tvm/issues/16368#issuecomment-1882127374
You are receiving this because you are subscribed to this thread.
Message ID:
## Introduction
[TVM Object
system]([https://tvm.apache.org/docs/dev/runtime.html#tvm-object-and-compiler-stack](https://tvm.apache.org/docs/dev/runtime.html#tvm-object-and-compiler-stack))
provides a convenient and decent way to share objects between backend (C++)
and frontend (Python/Java/R
Hi @comaniac,
[quote="comaniac, post:2, topic:7930"]
* Are the generated .h and .cc files supposed to be tracked in the repo, or
they are more like the build files?
[/quote]
They will be tracked in the repo. But user should write the tschema for objects
instead of writing the cpp files direct
Hi @jcf94,
[quote="jcf94, post:5, topic:7930"]
IMHO, advanced users who may benefit from it are more likely to write their C++
code directly, while other users may not really have a requirement on this.
[/quote]
First, this is not only for C++ code generation. In the future, we will extend
it
@zhiics Yep, we have an option to turn off the default method generation and
allow user to fill their customized code snippets.
---
[Visit
Topic](https://discuss.tvm.apache.org/t/rfc-tvm-object-schema-dsl/7930/8) to
respond.
You are receiving this because you enabled mailing list mode.
Hi @mwillsey,
The decentralizing code generation sounds a good idea technically! We choose
Python mainly for user-friendly. I would also like to know @tqchen's opinion
here.
[quote="mwillsey, post:9, topic:7930"]
On the topic of checking the generated code in, I’m not sure why that is
necessa
Nice work @spectrometerHBH!
I would like to give it a try! One question, how can I build the `tir.function`
after I define it with the script? Is the path has been pushed on master branch
now?
---
[Visit
Topic](https://discuss.tvm.apache.org/t/rfc-hybrid-script-support-for-tir/7516/21)
Great suggestion!
Can we make it as a nightly/weekly regression test utils and also consider
adding accuracy evaluation for quantization model into this loop?
---
[Visit
Topic](https://discuss.tvm.apache.org/t/rfc-building-a-new-reproducible-benchmark-for-tvm/8496/2)
to respond.
You are
I vote for A0 for consistency with DLDataType / tvm::DataType
---
[Visit
Topic](https://discuss.tvm.apache.org/t/rfc-rename-tvmcontext-to-tvmdevice/9090/23)
to respond.
You are receiving this because you enabled mailing list mode.
To unsubscribe from these emails, [click
here](https://d
Sounds like a good case for https://github.com/tlc-pack/relax/issues/46
---
[Visit
Topic](https://discuss.tvm.apache.org/t/tvm-integration-with-external-dsp-accelerator-api/11641/3)
to respond.
You are receiving this because you enabled mailing list mode.
To unsubscribe from these emails
I agree that the existing approach does not work well and support this RFC :+1:
---
[Visit Topic](https://discuss.tvm.apache.org/t/rfc-remove-codeowners/12095/6)
to respond.
You are receiving this because you enabled mailing list mode.
To unsubscribe from these emails, [click
here](https
Please join us to welcome @denise-k as a new reviewer to TVM.
Denise is the main (co)authors of roadmap RFC and roadmap process:
- https://github.com/orgs/apache/projects/31
- https://github.com/apache/tvm-rfcs/pull/50
- https://discuss.tvm.apache.org/t/pre-rfc-tvm-roadmap/11171
And she helps t
20 matches
Mail list logo
