Canonicalはセキュリティ関連の修正で半月リリースが遅れたものの、4月中に無事Ubuntu Linux 24.04 LTSを公開しました。Linuxがインストールゲームだった時代はとうの昔に終わり、枯れたPCでは22.04時代のノウハウそのままでトラブルもなく24.04を導入できています。うーん、書くことがない。
一方、面白みはないもののUbuntuを取り巻く環境は良くなっています。Windows 11に非対応とされサポート打ち切りが近づくIntel Core i 7xxx(第七世代)以前の中古ノートPCはフルHDモデルですら1万円台でゴミのように叩き売られ、Core i8xxx(第八世代)以降のPCも軒並み値崩れしました。自慢みたいになるので詳しくは書きませんが、私はWindows11が動くフルHD/NVMe SSDのノートPCを2万円台で入手したり、最新に近いCore i7-11700搭載のミニタワーを5万円台で入手したりしています。
Windows11ではインテルCore i 第7世代以前のCPUはサポート外となりました(7820HQなど例外あり)。結果、以前の中古PCやリース落ちPCが値崩れし、とてもお買い得になっています。一昨年は5万円を滅多に切らなかったフルHD&SSDノートも今では5万円を切るものがチラホラ出てきました。端末として割り切るなら個人的なイチオシは『ELITEBOOK Folio G1』です。このようなお古のノートにUbuntuを入れて再生させるわけです。
$ python
Python 3.9.12 (main, Apr 5 2022, 06:56:58)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.client import device_lib
2022-05-12 18:53:47.784386: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
>>> device_lib.list_local_devices()
2022-05-12 18:53:51.799093: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-05-12 18:53:51.802081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2022-05-12 18:53:51.831519: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:51.832063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1650 computeCapability: 7.5
coreClock: 1.515GHz coreCount: 14 deviceMemorySize: 3.82GiB deviceMemoryBandwidth: 178.84GiB/s
2022-05-12 18:53:51.832111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
2022-05-12 18:53:51.849984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10
2022-05-12 18:53:51.850051: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.10
2022-05-12 18:53:51.860952: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-05-12 18:53:51.864006: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-05-12 18:53:51.882123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2022-05-12 18:53:51.885419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10
2022-05-12 18:53:51.918256: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.7
2022-05-12 18:53:51.918459: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:51.918860: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:51.919152: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2022-05-12 18:53:51.919358: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
2022-05-12 18:53:52.570930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-05-12 18:53:52.570970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0
2022-05-12 18:53:52.570977: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N
2022-05-12 18:53:52.571411: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:52.571620: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:52.571762: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-12 18:53:52.571880: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/device:GPU:0 with 3410 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5)
2022-05-12 18:53:52.573073: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 14858614513891176676
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 3575906304
locality {
bus_id: 1
links {
}
}
incarnation: 13770775266605951589
physical_device_desc: "device: 0, name: NVIDIA GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5"
]
masaru@ASUS-TUF-Gaming:~$ sudo add-apt-repository -y -n ppa:graphics-drivers/ppaPPA publishes dbgsym, you may need to include 'main/debug' component
Repository: 'deb http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu/ hirsute main'
Description:
Fresh drivers from upstream, currently shipping Nvidia.
## Current Status
Current long-lived branch release: `nvidia-430` (430.40)
Dropped support for Fermi series (https://nvidia.custhelp.com/app/answers/detail/a_id/4656)
Old long-lived branch release: `nvidia-390` (390.129)
For GF1xx GPUs use `nvidia-390` (390.129)
For G8x, G9x and GT2xx GPUs use `nvidia-340` (340.107)
For NV4x and G7x GPUs use `nvidia-304` (304.137) End-Of-Life!
Support timeframes for Unix legacy GPU releases:
https://nvidia.custhelp.com/app/answers/detail/a_id/3142
## What we're working on right now:
- Normal driver updates
- Help Wanted: Mesa Updates for Intel/AMD users, ping us if you want to help do this work, we're shorthanded.
## WARNINGS:
This PPA is currently in testing, you should be experienced with packaging before you dive in here:
Volunteers welcome!
### How you can help:
## Install PTS and benchmark your gear:
sudo apt-get install phoronix-test-suite
Run the benchmark:
phoronix-test-suite default-benchmark openarena xonotic tesseract gputest unigine-valley
and then say yes when it asks you to submit your results to openbechmarking.org. Then grab a cup of coffee, it takes a bit for the benchmarks to run. Depending on the version of Ubuntu you're using it might preferable for you to grabs PTS from upstream directly: http://www.phoronix-test-suite.com/?k=downloads
## Share your results with the community:
Post a link to your results (or any other feedback to): https://launchpad.net/~graphics-drivers-testers
Remember to rerun and resubmit the benchmarks after driver upgrades, this will allow us to gather a bunch of data on performance that we can share with everybody.
If you run into old documentation referring to other PPAs, you can help us by consolidating references to this PPA.
If someone wants to go ahead and start prototyping on `software-properties-gtk` on what the GUI should look like, please start hacking!
## Help us Help You!
We use the donation funds to get the developers hardware to test and upload these drivers, please consider donating to the "community" slider on the donation page if you're loving this PPA:
http://www.ubuntu.com/download/desktop/contribute
More info: https://launchpad.net/~graphics-drivers/+archive/ubuntu/ppa
Adding repository.
Adding deb entry to /etc/apt/sources.list.d/graphics-drivers-ubuntu-ppa-hirsute.list
Adding disabled deb-src entry to /etc/apt/sources.list.d/graphics-drivers-ubuntu-ppa-hirsute.list
Adding key to /etc/apt/trusted.gpg.d/graphics-drivers-ubuntu-ppa.gpg with fingerprint 2388FF3BE10A76F638F80723FCAE110B1118213C
masaru@ASUS-TUF-Gaming:~/Downloads$ bash ./Anaconda3-2020.11-Linux-x86_64.sh
Welcome to Anaconda3 2020.11
In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
...
masaru@ASUS-TUF-Gaming:~/anaconda3/bin$ ./conda init
no change /home/masaru/anaconda3/condabin/conda
no change /home/masaru/anaconda3/bin/conda
no change /home/masaru/anaconda3/bin/conda-env
no change /home/masaru/anaconda3/bin/activate
no change /home/masaru/anaconda3/bin/deactivate
no change /home/masaru/anaconda3/etc/profile.d/conda.sh
no change /home/masaru/anaconda3/etc/fish/conf.d/conda.fish
no change /home/masaru/anaconda3/shell/condabin/Conda.psm1
no change /home/masaru/anaconda3/shell/condabin/conda-hook.ps1
no change /home/masaru/anaconda3/lib/python3.8/site-packages/xontrib/conda.xsh
no change /home/masaru/anaconda3/etc/profile.d/conda.csh
modified /home/masaru/.bashrc
(base) masaru@ASUS-TUF-Gaming:~$ conda update --all
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/masaru/anaconda3
The following packages will be downloaded:
package | build
---------------------------|-----------------
_anaconda_depends-2020.07 | py38_0 6 KB
...
