[SatoshiTerasaki, chainer] Hi, we are happy to announce the release of Chainer implementation of Hand Pose Estimation.
It estimates 2D/3D joint locations of left/right hand. Check out our repository =D
Code for training, inference and demo scripts are available!
New routines, performance improvements and better NumPy compatibility.
https://github.com/cupy/cupy/releases/tag/v8.0.0a1
https://twitter.com/CuPy_Team/status/1295968317023195136
Released #CuPy v7.8.0. This release brings CUDA 11, NumPy 1.19 and SciPy 1.5 support.
Check the release note at: https://github.com/chainer/chainer/releases/tag/v7.8.0
https://twitter.com/CuPy_Team/status/1295968982566965253
Released #CuPy v7.8.0. This release brings CUDA 11, NumPy 1.19 and SciPy 1.5 support.
Check the release note at: https://github.com/cupy/cupy/releases/tag/v7.8.0
https://twitter.com/CuPy_Team/status/1298893064736448512
The first release candidate for CuPy v8.0.0 is here!! It comes with CUDA 11 support, new routines, performance improvements and other enhancements. Please read the release note to find out all the exciting new features and how to install the CUDA 11 wheel.
https://t.co/CA57dcWJ6p
https://twitter.com/CuPy_Team/status/1311562843062378496
CuPy v8.0.0 is here! This is our best release so far! Improved kernel fusion, acceleration by CUB and cuTENSOR, CuPy self-tuning using @OptunaAutoML are some of our new features. Stay safe and check our release note: https://t.co/3DMm5ad3jW
[Kenichi Maehashi, chainer] We now have a dedicated chat channel for CuPy discussions on Gitter!
https://gitter.im/cupy/community
Gitter is a service hosted by GitLab; you can sign-in using your GitHub/GitLab/Twitter account.
Feel free to join and discuss, ask questions or share your product using CuPy!
https://twitter.com/CuPy_Team/status/1313569720310865927
We're presenting at NVIDIA #GTC20!
Come and learn the basics of CuPy and highlights of the latest v8 release:
https://www.nvidia.com/en-us/gtc/session-catalog/?search=A21531#/session/1597988469506001EUWx
https://twitter.com/CuPy_Team/status/1321717254866677760
We have released CuPy v9.0.0a1, this is the first step towards the v9 release!
CUDA 11.1 support has been added so now you can use CuPy with your GeForce RTX 30 series or Quadro RTX. Stay safe and check the release note to download CUDA 11.1 builds at:
https://t.co/al3GTzPPRl
https://twitter.com/CuPy_Team/status/1321717791100035073
CuPy v8.1.0, the latest stable release with CUDA 11.1 support, multiple bug corrections and enhancements, is also released today. Check the release note at:
https://t.co/2WSzwniATe
https://twitter.com/CuPy_Team/status/1331861803035365377
Some fixes and bug corrections in the new CuPy v8.2.0. Stay safe and check the release note at: https://github.com/cupy/cupy/releases/tag/v8.2.0
https://twitter.com/CuPy_Team/status/1331862091121131520
CuPy v9.0.0a2 has been released with multiple improvements! We have added the initial support for our Python CUDA JIT that we will be enhancing towards the major release. Stay safe and check the release note at: https://t.co/MLWgdpIa04
https://twitter.com/CuPy_Team/status/1334240930501521411
Do you have questions or need help with CuPy? Or just want to have a casual chat with the developers? Join us on our Gitter channel: https://t.co/Zs67iTtUB6
https://twitter.com/CuPy_Team/status/1342343695081689088
Happy Holidays! We are releasing CuPy v9.0.0b1 where we add several new SciPy sparse routines and improve the overall stability of the library. Also we are releasing v8.3.0 with several corrections to the v8 series. Check the release notes at: https://t.co/Fu0ranE13s
https://twitter.com/CuPy_Team/status/1354664559202582531
Just released CuPy v9.0.0b2 with initial support for the new @numpy_team random API. Also, improved @AMD #ROCm support and other features that you can check in the release note. v8.4.0 with several corrections to the v8 series is also released today.
https://t.co/Fu0ranE13s
https://twitter.com/adamlikesai/status/1359150475212447746
CuPy retweeted:
1/ Ever wondered how to profile @CuPy_Team code with @nvidia #NSIGHTSystems? Use the prof time_range markers to den… https://twitter.com/i/web/status/1359150475212447746
https://twitter.com/CuPy_Team/status/1365212719121457153
Released CuPy v9.0.0b3/8.5.0. Improved CuPy JIT support in
cupy.vectorize and support the latest NumPy/SciPy releases. As always thanks to @NVIDIA and @RAPIDSai for their continued support! Check the list of changes in the release notes and stay safe!
https://twitter.com/CuPy_Team/status/1365213415954731010
Released CuPy v9.0.0b3/8.5.0. Improved CuPy JIT support in
cupy.vectorize and support the latest NumPy/SciPy releases. As always thanks to @NVIDIA and @RAPIDSai for their continued support! Check the list of changes in the release notes and stay safe!https://t.co/Fu0ranE13s
https://twitter.com/CuPy_Team/status/1365213741873172483
We are releasing a wheel with @AMD ROCm/HIP support, get your hands on it by installing the
cupy-rocm-4-0 package in PyPI!https://t.co/nEGR5wZgUa
https://twitter.com/CuPy_Team/status/1365219592604295170
We have found a PyPI package named "cupy-cuda112" which was NOT uploaded by the CuPy project. Please do not install it. We are contacting @PyPI to address this issue. https://t.co/6MpMXR5i02
https://twitter.com/CuPy_Team/status/1374977760867753989
Released CuPy v8.6.0. This is the last release for CuPy v8 where we pave the road for the upcoming v9 release next month! We have fixed several issues to make your CuPy experience smoother while reving up our v9 engine! Check the release note at:
https://t.co/MJFcPT50QP
https://twitter.com/CuPy_Team/status/1374978269217349641
Released CuPy v9.0.0rc1, the feature-complete release of series 9!
Write CUDA kernels in Python, support for GUFuncs thanks to @dask_dev, and other features thanks to @NVIDIA @RAPIDSai support and many other contributors! Check the release note at:
https://t.co/cL1CDVOkqS
[Twitter]
https://twitter.com/CuPy_Team/status/1377120980783390724
We're excited to be participating in Google Summer of Code @gsoc again this year!
:bulb: Project Ideas: https://t.co/ZMnznJLj9h
:memo: Guide: https://t.co/1R7cCzHRsT & https://t.co/KCqr2FBS9G
:speech_balloon: Gitter Chat (feel free to ask questions or discuss with mentors): https://t.co/Zs67iTtUB6
https://twitter.com/gmarkall/status/1379355919851646976
CuPy retweeted:
@numba_jit Not demoed in the notebook, more important @numba_jit 0.53 CUDA features:
- CUDA 11.2 support
- CUDA Ar… https://twitter.com/i/web/status/1379355919851646976
https://twitter.com/CuPy_Team/status/1382205987768070145
Watch sessions featuring CuPy by @nvidia and users at #GTC21!
https://www.nvidia.com/en-us/gtc/catalog/?search=CuPy
[Twitter]
https://twitter.com/CuPy_Team/status/1385113170344169477
:tada: We have just released CuPy v9.0.0! Say hi to the JIT, more new functions, the latest CUDA features, and much more! Thanks to all our contributors and specially @NVIDIA and @BrookhavenLabCS.
:scroll: Release Notes: https://t.co/Se4KOSu5XS
:bookmark: Highlights: https://t.co/zkiyEuFsCC
[Twitter]
https://twitter.com/CuPy_Team/status/1385113517003444224
With CuPy v9 comes official @AMD #ROCm HIP support, install it now with pip install cupy-rocm-4-0 and let’s make those Radeons crunch some numbers!
https://t.co/fUNT31BST9
:tada: We have just released CuPy v9.0.0! Say hi to the JIT, more new functions, the latest CUDA features, and much more… https://twitter.com/i/web/status/1385113170344169477
[Twitter]
https://twitter.com/phoronix/status/1387815915954360323
CuPy retweeted:
#CuPy 9.0 Brings @AMD @Radeon GPU Support To This #Numpy-Compatible #Python Library
https://www.phoronix.com/scan.php?page=news_item&px=CuPy-9.0-Released
https://twitter.com/CuPy_Team/status/1397823695905726465
Get your hands now on CuPy v10.0.0a1 / v9.1.0! As usual thanks to our incredible contributors at @nvidia @RAPIDSai @BrookhavenLabCS and many other places!
CUDA 11.0 and 11.1 wheels are not available on PyPI yet. Refer to the release notes for instructions: https://t.co/Fu0ranE13s
https://twitter.com/CuPy_Team/status/1397824179328622597
We have released binary wheels CuPy v10.0.0a1 / v9.1.0 for #ROCm 4.0! Install them now by piping the cupy-rocm-4-0 package =D
Thanks to @AMD for their support in making these releases possible!
Get your hands now on CuPy v10.0.0a1 / v9.1.0! As usual thanks to our incredible contributors at @nvidia @RAPIDSai… https://twitter.com/i/web/status/1397823695905726465
https://twitter.com/r_c_thomas/status/1399177938759602176
CuPy retweeted:
Daniel’s going to talk (@SciPyConf) about what he did to accelerate the code 20x porting it to @nvidia GPUs using C… https://twitter.com/i/web/status/1399177938759602176
[Unknown, chainer] Available commands (see https://sameroom.io/faq for more info):
^^^ <message>* -- Post <message> to your side of Tube only (hush command)
*-sameroom ping -- Ping all connected rooms
-sameroom map -- Show map of all connected rooms
-sameroom disable -- Delete all Tubes connected to a room
-sameroom format -- Show the current posting format for a room
-sameroom format <format option>* -- Set posting format for a room (see https://sameroom.io/blog/introducing-posting-options/ for details). <format option> can be one of the following: *off, dispname, username, dispname team, username team, dispname username, dispname username team
-sameroom portal -- Generate a Portal URL
-sameroom open -- Initiate a connection. Return a code to be used with -sameroom connect
*-sameroom connect <code>* -- Create a Tube to room where code was issued by -sameroom open
*-sameroom connect <Portal URL>* -- Create a Tube via the Portal URL issued by -sameroom portal
[Twitter]
https://twitter.com/pyconil/status/1405862105492856832
CuPy retweeted:
"Python bottleneck optimization progression from lists to cupy arrays" by Yair Beer from Pycon Israel 2021