カテゴリー: データ分析

$ ubuntu-drivers devices
== /sys/devices/pci0000:00/0000:00:08.1/0000:05:00.3/usb1/1-2/1-2:1.0 ==
modalias : usb:v0BDAp8812d0000dc00dsc00dp00icFFiscFFipFFin00
vendor   : Realtek Semiconductor Corp.
model    : RTL8812AU 802.11a/b/g/n/ac 2T2R DB WLAN Adapter
driver   : rtl8812au-dkms - distro free

== /sys/devices/pci0000:00/0000:00:01.1/0000:01:00.0 ==
modalias : pci:v000010DEd00001F99sv00001043sd000018BFbc03sc00i00
vendor   : NVIDIA Corporation
model    : TU117M
driver   : nvidia-driver-450-server - distro non-free
driver   : nvidia-driver-510 - distro non-free recommended
driver   : nvidia-driver-470-server - distro non-free
driver   : nvidia-driver-470 - distro non-free
driver   : nvidia-driver-510-server - distro non-free
driver   : xserver-xorg-video-nouveau - distro free builtin

$ sudo apt install nvidia-driver-510
パッケージリストを読み込んでいます... 完了
依存関係ツリーを作成しています... 完了        
状態情報を読み取っています... 完了        
以下の追加パッケージがインストールされます:
……

$ nvidia-smi
Thu May 12 18:47:13 2022       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.60.02    Driver Version: 510.60.02    CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A |
| N/A   45C    P8     6W /  N/A |      8MiB /  4096MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1750      G   /usr/lib/xorg/Xorg                  4MiB |
+-----------------------------------------------------------------------------+

$bash ./Anaconda3-2022.05-Linux-x86_64.sh
$conda update -n base conda
$conda update anaconda
$conda update -y --all
$conda install tensorflow-gpu==2.4.1

$ 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"
]

$conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch