{"id":14207,"date":"2023-08-26T08:24:48","date_gmt":"2023-08-25T23:24:48","guid":{"rendered":"https:\/\/lab4ict.com\/system\/?p=14207"},"modified":"2023-08-27T11:01:42","modified_gmt":"2023-08-27T02:01:42","slug":"pytorch%e3%82%92%e3%82%a4%e3%83%b3%e3%82%b9%e3%83%88%e3%83%bc%e3%83%ab%e3%81%99%e3%82%8b%ef%bc%81%ef%bc%88ubuntu-desktop-22-04%ef%bc%89","status":"publish","type":"post","link":"https:\/\/lab4ict.com\/system\/archives\/14207","title":{"rendered":"PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01\uff08Ubuntu Desktop 22.04\uff0fCUDA\uff09"},"content":{"rendered":"<p>Ubuntu Desktop 22.04\u306bPyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<br \/>\n<!--more--><\/p>\n<h2>\u5b9f\u884c\u3057\u305f\u74b0\u5883\u3092\u78ba\u8a8d\u3059\u308b\uff01<\/h2>\n<p>\u5b9f\u884c\u3057\u305f\u74b0\u5883\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\n$ hostnamectl\r\n Static hostname: dpc001p1.loc.lab4ict.com\r\n Pretty hostname: dpc001p1\r\n       Icon name: computer-desktop\r\n         Chassis: desktop\r\n      Machine ID: c46d7551318b4a728792dc09d416eb2b\r\n         Boot ID: 22dbbd0d676749fa974a595d7ed6a437\r\nOperating System: Ubuntu 22.04.3 LTS              \r\n          Kernel: Linux 6.2.0-26-generic\r\n    Architecture: x86-64\r\n Hardware Vendor: BIOSTAR Group\r\n  Hardware Model: TB250-BTC\r\n<\/pre>\n<h2>NVIDIA\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01<\/h2>\n<p>\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3092\u53c2\u8003\u306b\u3057\u3066\u3001NVIDIA\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308bPyTorch\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5408\u3046NVIDIA\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u9078\u629e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<br \/>\n<div class=\"sc_getpost\"><a class=\"clearfix\" href=\"https:\/\/lab4ict.com\/system\/archives\/14200\" ><div class=\"sc_getpost_thumb post-box-thumbnail__wrap\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODdhAQABAPAAAN3d3QAAACwAAAAAAQABAAACAkQBADs=\" width=\"150\" height=\"150\" alt=\"NVIDIA\u306eGPU\u7528\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01\uff08Ubuntu Desktop 22.04\uff09\" loading=\"lazy\" data-src=\"https:\/\/lab4ict.com\/system\/wp-content\/uploads\/2018\/06\/fia0000001-150x150.gif\" class=\"lazyload\"><\/div><div class=\"title\">NVIDIA\u306eGPU\u7528\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01\uff08Ubuntu Desktop 22.04\uff09<\/div><div class=\"substr\">Ubuntu Desktop 22.04\u306bNVIDIA\u306eGPU\u7528\u306e\u30c9\u30e9\u30a4\u30d0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002...<\/div><\/a><\/div>\n<h2>PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u30b3\u30de\u30f3\u30c9\u3092\u78ba\u8a8d\u3059\u308b\uff01<\/h2>\n<p>\u4ee5\u4e0b\u306e\u30da\u30fc\u30b8\u3067\u3001PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u30d0\u30fc\u30b8\u30e7\u30f3\u3068\u74b0\u5883\u3092\u9078\u629e\u3057\u3066\u3001PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u30b3\u30de\u30f3\u30c9\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/pytorch.org\/get-started\/locally\/\" rel=\"noopener\" target=\"_blank\">PyTorch - Get Started<\/a><\/li>\n<\/ul>\n<h2>PyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01<\/h2>\n<p>\u4eca\u56de\u306f\u3001Stable\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3057\u305f\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\n$ pip3 install torch torchvision torchaudio\r\nDefaulting to user installation because normal site-packages is not writeable\r\nCollecting torch\r\n  Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 619.9\/619.9 MB 5.5 MB\/s eta 0:00:00\r\nCollecting torchvision\r\n  Downloading torchvision-0.15.2-cp310-cp310-manylinux1_x86_64.whl (6.0 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 6.0\/6.0 MB 19.8 MB\/s eta 0:00:00\r\nCollecting torchaudio\r\n  Downloading torchaudio-2.0.2-cp310-cp310-manylinux1_x86_64.whl (4.4 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 4.4\/4.4 MB 11.3 MB\/s eta 0:00:00\r\nCollecting nvidia-cuda-runtime-cu11==11.7.99\r\n  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 849.3\/849.3 KB 9.4 MB\/s eta 0:00:00\r\nCollecting nvidia-cusparse-cu11==11.7.4.91\r\n  Downloading nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 173.2\/173.2 MB 9.8 MB\/s eta 0:00:00\r\nCollecting filelock\r\n  Downloading filelock-3.12.2-py3-none-any.whl (10 kB)\r\nCollecting nvidia-cublas-cu11==11.10.3.66\r\n  Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 317.1\/317.1 MB 6.0 MB\/s eta 0:00:00\r\nCollecting nvidia-nvtx-cu11==11.7.91\r\n  Downloading nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 98.6\/98.6 KB 7.3 MB\/s eta 0:00:00\r\nCollecting triton==2.0.0\r\n  Downloading triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 63.3\/63.3 MB 11.6 MB\/s eta 0:00:00\r\nCollecting nvidia-cufft-cu11==10.9.0.58\r\n  Downloading nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl (168.4 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 168.4\/168.4 MB 9.9 MB\/s eta 0:00:00\r\nCollecting nvidia-cuda-nvrtc-cu11==11.7.99\r\n  Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 21.0\/21.0 MB 13.3 MB\/s eta 0:00:00\r\nCollecting nvidia-cusolver-cu11==11.4.0.1\r\n  Downloading nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl (102.6 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 102.6\/102.6 MB 11.5 MB\/s eta 0:00:00\r\nCollecting nvidia-nccl-cu11==2.14.3\r\n  Downloading nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 177.1\/177.1 MB 9.7 MB\/s eta 0:00:00\r\nCollecting nvidia-curand-cu11==10.2.10.91\r\n  Downloading nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 54.6\/54.6 MB 15.9 MB\/s eta 0:00:00\r\nCollecting nvidia-cudnn-cu11==8.5.0.96\r\n  Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 557.1\/557.1 MB 5.0 MB\/s eta 0:00:00\r\nCollecting nvidia-cuda-cupti-cu11==11.7.101\r\n  Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 11.8\/11.8 MB 15.3 MB\/s eta 0:00:00\r\nCollecting typing-extensions\r\n  Downloading typing_extensions-4.7.1-py3-none-any.whl (33 kB)\r\nCollecting jinja2\r\n  Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 133.1\/133.1 KB 6.1 MB\/s eta 0:00:00\r\nCollecting networkx\r\n  Downloading networkx-3.1-py3-none-any.whl (2.1 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 2.1\/2.1 MB 16.9 MB\/s eta 0:00:00\r\nCollecting sympy\r\n  Downloading sympy-1.12-py3-none-any.whl (5.7 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 5.7\/5.7 MB 15.6 MB\/s eta 0:00:00\r\nRequirement already satisfied: setuptools in \/usr\/lib\/python3\/dist-packages (from nvidia-cublas-cu11==11.10.3.66-&gt;torch) (59.6.0)\r\nRequirement already satisfied: wheel in \/usr\/lib\/python3\/dist-packages (from nvidia-cublas-cu11==11.10.3.66-&gt;torch) (0.37.1)\r\nCollecting lit\r\n  Downloading lit-16.0.6.tar.gz (153 kB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 153.7\/153.7 KB 9.0 MB\/s eta 0:00:00\r\n  Installing build dependencies ... done\r\n  Getting requirements to build wheel ... done\r\n  Installing backend dependencies ... done\r\n  Preparing metadata (pyproject.toml) ... done\r\nCollecting cmake\r\n  Downloading cmake-3.27.2-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (26.1 MB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 26.1\/26.1 MB 16.7 MB\/s eta 0:00:00\r\nRequirement already satisfied: numpy in \/usr\/lib\/python3\/dist-packages (from torchvision) (1.21.5)\r\nRequirement already satisfied: requests in \/usr\/lib\/python3\/dist-packages (from torchvision) (2.25.1)\r\nRequirement already satisfied: pillow!=8.3.*,&gt;=5.3.0 in \/usr\/lib\/python3\/dist-packages (from torchvision) (9.0.1)\r\nRequirement already satisfied: MarkupSafe&gt;=2.0 in \/usr\/lib\/python3\/dist-packages (from jinja2-&gt;torch) (2.0.1)\r\nCollecting mpmath&gt;=0.19\r\n  Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)\r\n     \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 536.2\/536.2 KB 15.5 MB\/s eta 0:00:00\r\nBuilding wheels for collected packages: lit\r\n  Building wheel for lit (pyproject.toml) ... done\r\n  Created wheel for lit: filename=lit-16.0.6-py3-none-any.whl size=93605 sha256=c79fbe206b767de3a52b661c26603e0d9b1db91415ebec4c68a9fa19ba6e3197\r\n  Stored in directory: \/home\/usradmin\/.cache\/pip\/wheels\/14\/f9\/07\/bb2308587bc2f57158f905a2325f6a89a2befa7437b2d7e137\r\nSuccessfully built lit\r\nInstalling collected packages: mpmath, lit, cmake, typing-extensions, sympy, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, networkx, jinja2, filelock, nvidia-cusolver-cu11, nvidia-cudnn-cu11, triton, torch, torchvision, torchaudio\r\nSuccessfully installed cmake-3.27.2 filelock-3.12.2 jinja2-3.1.2 lit-16.0.6 mpmath-1.3.0 networkx-3.1 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 sympy-1.12 torch-2.0.1 torchaudio-2.0.2 torchvision-0.15.2 triton-2.0.0 typing-extensions-4.7.1\r\n<\/pre>\n<h2>PyTorch\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u305f\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\uff01<\/h2>\n<p>\u4ee5\u4e0b\u3001\u5b9f\u884c\u3057\u3066PyTorch\u304c\u52d5\u4f5c\u3059\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\n$ python3\r\nPython 3.10.12 (main, Jun 11 2023, 05:26:28) &#x5B;GCC 11.4.0] on linux\r\nType &quot;help&quot;, &quot;copyright&quot;, &quot;credits&quot; or &quot;license&quot; for more information.\r\n&gt;&gt;&gt; import torch\r\n&gt;&gt;&gt; x = torch.rand(5, 3)\r\n&gt;&gt;&gt; print(x)\r\ntensor(&#x5B;&#x5B;0.7512, 0.3663, 0.3083],\r\n        &#x5B;0.3378, 0.3216, 0.8839],\r\n        &#x5B;0.9699, 0.0377, 0.2077],\r\n        &#x5B;0.5272, 0.7344, 0.1232],\r\n        &#x5B;0.6116, 0.0809, 0.8667]])\r\n&gt;&gt;&gt; quit()\r\n<\/pre>\n<h2>\u304a\u308f\u308a\u306b<\/h2>\n<p>NVIDIA\u306e\u30c9\u30e9\u30a4\u30d0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5b8c\u4e86\u3057\u3066\u3044\u308c\u3070\u3001PyTorch\u306f\u30b3\u30de\u30f3\u30c9\u4e00\u3064\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u95a2\u9023\u8a18\u4e8b<\/h2>\n<div class=\"sc_getpost\"><a class=\"clearfix\" href=\"https:\/\/lab4ict.com\/system\/archives\/14224\" ><div class=\"sc_getpost_thumb post-box-thumbnail__wrap\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODdhAQABAPAAAN3d3QAAACwAAAAAAQABAAACAkQBADs=\" width=\"150\" height=\"150\" alt=\"\u3010\u8a18\u4e8b\u4e00\u89a7\u3011AI\u3092\u4f7f\u3044\u3053\u306a\u3059\uff01\" loading=\"lazy\" data-src=\"https:\/\/lab4ict.com\/system\/wp-content\/uploads\/2018\/09\/eyecatch_ai_03-150x150.png\" class=\"lazyload\"><\/div><div class=\"title\">\u3010\u8a18\u4e8b\u4e00\u89a7\u3011AI\u3092\u4f7f\u3044\u3053\u306a\u3059\uff01<\/div><div class=\"substr\">AI\u3092\u4f7f\u3044\u3053\u306a\u3059\u305f\u3081\u306e\u8a18\u4e8b\u4e00\u89a7\u3092\u63b2\u8f09\u3057\u307e\u3059\u3002\uff01...<\/div><\/a><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ubuntu Desktop 22.04\u306bPyTorch\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":642,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[58,956,61,51,274,488,52],"class_list":["post-14207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pytorch","tag-cuda","tag-nvidia","tag-pytorch","tag-ubuntu","tag-ubuntu-desktop","tag-ubuntu-desktop-22-04","tag-52"],"_links":{"self":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/14207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/comments?post=14207"}],"version-history":[{"count":6,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/14207\/revisions"}],"predecessor-version":[{"id":14275,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/14207\/revisions\/14275"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/media\/642"}],"wp:attachment":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/media?parent=14207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/categories?post=14207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/tags?post=14207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}