{"id":3130,"date":"2024-09-18T08:00:00","date_gmt":"2024-09-17T23:00:00","guid":{"rendered":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/?p=3130"},"modified":"2024-09-20T03:09:00","modified_gmt":"2024-09-19T18:09:00","slug":"pytorch-2-4-supports-gpus-accelerate-ai-workloads","status":"publish","type":"post","link":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/2024\/09\/18\/pytorch-2-4-supports-gpus-accelerate-ai-workloads\/","title":{"rendered":"PyTorch* 2.4 \u304c\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u4e0a\u3067\u306e AI \u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u30b5\u30dd\u30fc\u30c8"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background\" \/>\n\n\n\n<p class=\"wp-block-paragraph\">\u3053\u306e\u8a18\u4e8b\u306f\u3001\u30a4\u30f3\u30c6\u30eb<sup>\u00ae<\/sup>\u00a0\u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30be\u30fc\u30f3\u306b\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u300c<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/developer\/articles\/technical\/pytorch-2-4-supports-gpus-accelerate-ai-workloads.html\" target=\"_blank\" rel=\"noopener\" title=\"PyTorch* 2.4 Debuts with Initial Support of Intel\u00ae GPUs to Accelerate AI Workloads\">PyTorch* 2.4 Debuts with Initial Support of Intel\u00ae GPUs to Accelerate AI Workloads<\/a>\u300d\u306e\u65e5\u672c\u8a9e\u53c2\u8003\u8a33\u3067\u3059\u3002\u539f\u6587\u306f\u66f4\u65b0\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u539f\u6587\u3068\u7ffb\u8a33\u6587\u306e\u5185\u5bb9\u304c\u7570\u306a\u308b\u5834\u5408\u306f\u539f\u6587\u3092\u512a\u5148\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background\" \/>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-1024x576.jpeg\" alt=\"\" class=\"wp-image-3131\" srcset=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-1024x576.jpeg 1024w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-300x169.jpeg 300w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-768x432.jpeg 768w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-1536x864.jpeg 1536w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-2048x1152.jpeg 2048w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_adobestock-382230679-678x381.jpeg 678w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* 2.4 \u3067\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae \u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc GPU \u30de\u30c3\u30af\u30b9\u30fb\u30b7\u30ea\u30fc\u30ba\u306e\u521d\u671f\u30b5\u30dd\u30fc\u30c8<sup>1<\/sup>&nbsp;\u304c\u63d0\u4f9b\u3055\u308c\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3068 SYCL* \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30fb\u30b9\u30bf\u30c3\u30af\u304c\u516c\u5f0f\u306e PyTorch* \u30b9\u30bf\u30c3\u30af\u306b\u8ffd\u52a0\u3055\u308c\u3001AI \u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u3055\u3089\u306a\u308b\u9ad8\u901f\u5316\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:14px\"><sup>1<\/sup>&nbsp;GPU \u30b5\u30dd\u30fc\u30c8\u3068\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u5411\u4e0a\u306e\u305f\u3081\u3001<a href=\"https:\/\/intel.github.io\/intel-extension-for-pytorch\/xpu\/latest\/\" rel=\"noreferrer noopener\" target=\"_blank\">PyTorch* \u5411\u3051\u30a4\u30f3\u30c6\u30eb\u00ae \u30a8\u30af\u30b9\u30c6\u30f3\u30b7\u30e7\u30f3<\/a>&nbsp;(\u82f1\u8a9e) \u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u3092\u63a8\u5968\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5229\u70b9<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u306e\u30b5\u30dd\u30fc\u30c8\u306b\u3088\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306f GPU \u306e\u9078\u629e\u80a2\u304c\u5897\u3048\u3001\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u3068\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u306e\u4e21\u65b9\u3067\u4e00\u8cab\u3057\u305f GPU \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30d1\u30e9\u30c0\u30a4\u30e0\u3092\u5229\u7528\u3067\u304d\u307e\u3059\u3002\u6700\u5c0f\u9650\u306e\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u4f5c\u696d\u3067\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3067\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3001\u30c7\u30d7\u30ed\u30a4\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002\u3053\u306e\u5b9f\u88c5\u3067\u306f\u3001\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30fb\u30c7\u30d0\u30a4\u30b9\u306b\u5bfe\u5fdc\u3059\u308b\u305f\u3081\u3001PyTorch* \u30c7\u30d0\u30a4\u30b9\u3068\u30e9\u30f3\u30bf\u30a4\u30e0 (\u30c7\u30d0\u30a4\u30b9\u3001\u30b9\u30c8\u30ea\u30fc\u30e0\u3001\u30a4\u30d9\u30f3\u30c8\u3001\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf\u30fc\u3001\u30a2\u30ed\u30b1\u30fc\u30bf\u30fc\u3001\u30ac\u30fc\u30c9) \u3092\u4e00\u822c\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u4e00\u822c\u5316\u306b\u3088\u308a\u3001\u30e6\u30d3\u30ad\u30bf\u30b9\u30fb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3078\u306e PyTorch* \u306e\u30c7\u30d7\u30ed\u30a4\u304c\u5bb9\u6613\u306b\u306a\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u3055\u307e\u3056\u307e\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30fb\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u306e\u7d71\u5408\u3082\u5bb9\u6613\u306b\u306a\u308a\u307e\u3059\u3002\u202f<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30e6\u30fc\u30b6\u30fc\u306f\u3001\u7d44\u8fbc\u307f PyTorch*\u3001\u7d71\u5408\u3055\u308c\u305f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u914d\u5e03\u3001\u4e00\u8cab\u3057\u305f\u88fd\u54c1\u30ea\u30ea\u30fc\u30b9\u6642\u671f\u306b\u3088\u308a\u7d99\u7d9a\u7684\u306a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30fb\u30b5\u30dd\u30fc\u30c8\u3092\u76f4\u63a5\u5229\u7528\u3057\u3001\u3088\u308a\u512a\u308c\u305f\u7d4c\u9a13\u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8\u306e\u6982\u8981<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* \u306b\u30a2\u30c3\u30d7\u30b9\u30c8\u30ea\u30fc\u30e0\u3055\u308c\u305f\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8\u306f\u3001PyTorch* \u7d44\u8fbc\u307f\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u3067 Eager \u30e2\u30fc\u30c9\u3068\u30b0\u30e9\u30d5\u30e2\u30fc\u30c9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002Eager \u30e2\u30fc\u30c9\u3067\u306f\u3001\u3088\u304f\u4f7f\u7528\u3055\u308c\u308b Aten \u6f14\u7b97\u5b50\u304c SYCL* \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u5b9f\u88c5\u3055\u308c\u307e\u3057\u305f\u3002\u6700\u3082\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u91cd\u8981\u306a\u30b0\u30e9\u30d5\u3068\u6f14\u7b97\u5b50\u306f\u3001oneAPI \u30c7\u30a3\u30fc\u30d7\u30fb\u30cb\u30e5\u30fc\u30e9\u30eb\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc (oneDNN) \u3068 oneAPI \u30de\u30b9\u30fb\u30ab\u30fc\u30cd\u30eb\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc (oneMKL) \u3092\u4f7f\u7528\u3057\u3066\u9ad8\u5ea6\u306b\u6700\u9069\u5316\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30b0\u30e9\u30d5\u30e2\u30fc\u30c9 (<code>torch.compile<\/code>) \u3067\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u5411\u3051\u306e\u6700\u9069\u5316\u3092\u5b9f\u88c5\u3057 Triton \u3092\u7d71\u5408\u3059\u308b\u305f\u3081\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u304c\u6709\u52b9\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* 2.4 \u3067\u306f\u3001Aten \u6f14\u7b97\u5b50\u3001oneDNN\u3001Triton\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30bd\u30fc\u30b9\u30d3\u30eb\u30c9\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30c4\u30fc\u30eb\u30c1\u30a7\u30fc\u30f3\u7d71\u5408\u306a\u3069\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8\u306e\u91cd\u8981\u306a\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u304c\u8ffd\u52a0\u3055\u308c\u307e\u3057\u305f\u3002\u4e00\u65b9\u3001PyTorch* Profiler\uff08Kineto \u3068 oneMKL \u306e\u7d71\u5408\u306b\u57fa\u3065\u304f\uff09 \u306f\u3001\u6b21\u306e PyTorch* 2.5 \u30ea\u30ea\u30fc\u30b9\u3067\u5b9f\u88c5\u3059\u308b\u3079\u304f\u73fe\u5728\u958b\u767a\u4e2d\u3067\u3059\u3002\u56f3 1 \u306f\u3001PyTorch* \u306b\u30a2\u30c3\u30d7\u30b9\u30c8\u30ea\u30fc\u30e0\u6e08\u307f\u304a\u3088\u3073\u4eca\u5f8c\u30a2\u30c3\u30d7\u30b9\u30c8\u30ea\u30fc\u30e0\u4e88\u5b9a\u306e\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u306e\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u3068\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u306e\u6539\u5584\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"555\" src=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-1024x555.png\" alt=\"\" class=\"wp-image-3132\" srcset=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-1024x555.png 1024w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-300x163.png 300w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-768x417.png 768w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-1536x833.png 1536w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/09\/11_architecture-roadmap-gpu-upstreamed-to-pytorch-2048x1111.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56f3 1. PyTorch* \u306b\u30a2\u30c3\u30d7\u30b9\u30c8\u30ea\u30fc\u30e0\u3055\u308c\u308b\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u30fb\u30ed\u30fc\u30c9\u30de\u30c3\u30d7<\/figcaption><\/figure>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">\u6a5f\u80fd<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u63a8\u8ad6\u306e\u305f\u3081\u3001\u30a4\u30f3\u30c6\u30eb\u00ae \u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc GPU \u30de\u30c3\u30af\u30b9\u30fb\u30b7\u30ea\u30fc\u30ba\u306e\u4e3b\u8981\u306a\u6a5f\u80fd\u3092\u63d0\u4f9b\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001Linux* \u4e0a\u306e PyTorch* 2.4 \u30ea\u30ea\u30fc\u30b9\u306f\u3001PyTorch* \u304c\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u4ed6\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3068\u540c\u3058\u30e6\u30fc\u30b6\u30fc\u4f53\u9a13\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001CUDA* \u304b\u3089\u30b3\u30fc\u30c9\u3092\u79fb\u884c\u3059\u308b\u5834\u5408\u3001\u30b3\u30fc\u30c9\u4e2d\u306e\u30c7\u30d0\u30a4\u30b9\u540d\u3092&nbsp;<code>cuda<\/code>&nbsp;\u304b\u3089&nbsp;<code>xpu<\/code>&nbsp;\u306b\u5909\u66f4\u3059\u308b\u3060\u3051\u3067\u3001\u65e2\u5b58\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u30fb\u30b3\u30fc\u30c9\u3092\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u4e0a\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># CUDA* \u30b3\u30fc\u30c9\ntensor = torch.tensor(&#091;1.0, 2.0]).to(\"cuda\")&nbsp;\n&nbsp;\n# \u30a4\u30f3\u30c6\u30eb(R) GPU&nbsp;\u7528\u306e\u30b3\u30fc\u30c9\ntensor = torch.tensor(&#091;1.0, 2.0]).to(\"xpu\")<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3067\u306f PyTorch* 2.4 \u306e\u6b21\u306e\u6a5f\u80fd\u3092\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u63a8\u8ad6\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3002<\/li>\n\n\n\n<li><code>torch.compile<\/code>&nbsp;\u3068 Eager \u306e\u57fa\u672c\u95a2\u6570\u306e\u4e21\u65b9\u304c\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u304a\u308a\u3001Eager \u30e2\u30fc\u30c9\u3068\u30b3\u30f3\u30d1\u30a4\u30eb\u30e2\u30fc\u30c9\u306e Dynamo Hugging Face* \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u5b8c\u5168\u306b\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li>FP32\u3001BF16\u3001FP16\u3001\u81ea\u52d5\u6df7\u5408\u7cbe\u5ea6 (AMP) \u306a\u3069\u306e\u30c7\u30fc\u30bf\u578b\u3002<\/li>\n\n\n\n<li>Linux* \u3068\u30a4\u30f3\u30c6\u30eb\u00ae \u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc GPU \u30de\u30c3\u30af\u30b9\u30fb\u30b7\u30ea\u30fc\u30ba\u4e0a\u3067\u52d5\u4f5c\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u4f7f\u7528\u65b9\u6cd5<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30a4\u30f3\u30c6\u30eb\u00ae \u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc GPU \u30de\u30c3\u30af\u30b9\u30fb\u30b7\u30ea\u30fc\u30ba\u306f\u3001<a href=\"https:\/\/www.xlsoft.com\/jp\/products\/intel\/devcloud\/index.html\">\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9<\/a>\u3067\u8a66\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u74b0\u5883\u306e\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u3001\u30bd\u30fc\u30b9\u306e\u30d3\u30eb\u30c9\u3001\u304a\u3088\u3073\u30b5\u30f3\u30d7\u30eb\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/pytorch.org\/docs\/main\/notes\/get_start_xpu.html#examples\" rel=\"noreferrer noopener\" target=\"_blank\">\u3053\u3061\u3089<\/a>&nbsp;(\u82f1\u8a9e) \u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n\n\n\n<li>\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9\u306e\u767b\u9332\u624b\u9806\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/www.xlsoft.com\/jp\/products\/intel\/download\/devcloud.html\">\u3053\u3061\u3089<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u30a2\u30ab\u30a6\u30f3\u30c8\u3092\u4f5c\u6210\u5f8c\u3001\u4ee5\u4e0b\u306e\u64cd\u4f5c\u3092\u884c\u3063\u3066\u304f\u3060\u3055\u3044\u3002\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/console.cloud.intel.com\/\" rel=\"noreferrer noopener\" target=\"_blank\">\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9<\/a>&nbsp;(\u82f1\u8a9e) \u306b\u30b5\u30a4\u30f3\u30a4\u30f3\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li><a href=\"https:\/\/console.cloud.intel.com\/training\" rel=\"noreferrer noopener\" target=\"_blank\">Training<\/a>&nbsp;(\u82f1\u8a9e) \u30bb\u30af\u30b7\u30e7\u30f3\u304b\u3089\u3001<strong>PyTorch 2.4 on Intel\u00ae GPUs<\/strong>&nbsp;\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067&nbsp;<strong>PyTorch 2.4<\/strong>&nbsp;\u30ab\u30fc\u30cd\u30eb\u304c\u9078\u629e\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n<p class=\"highlight wp-block-paragraph\">\u30a8\u30af\u30bb\u30eb\u30bd\u30d5\u30c8\u3067\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9\u306e\u8a55\u4fa1\u7528\u30af\u30fc\u30dd\u30f3\u3092\u914d\u5e03\u3057\u3066\u3044\u307e\u3059\u3002\u3054\u8208\u5473\u306e\u3042\u308b\u65b9\u306f\u3001<a href=\"https:\/\/www.xlsoft.com\/jp\/services\/xlsoft_form.html?option2=Intel\" target=\"_blank\" rel=\"noopener\" title=\"\u3053\u3061\u3089\u306e\u30d5\u30a9\u30fc\u30e0\">\u3053\u3061\u3089\u306e\u30d5\u30a9\u30fc\u30e0<\/a>\u3088\u308a\u304a\u554f\u3044\u5408\u308f\u305b\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* 2.4 \u306e\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8\u306f\u3001\u521d\u671f\u30b5\u30dd\u30fc\u30c8 (\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u30fb\u30ea\u30ea\u30fc\u30b9) \u3067\u3042\u308a\u3001AI \u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3092\u9ad8\u901f\u5316\u3059\u308b\u305f\u3081\u3001\u30a4\u30f3\u30c6\u30eb\u00ae \u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc GPU \u30de\u30c3\u30af\u30b9\u30fb\u30b7\u30ea\u30fc\u30ba\u306e\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3092\u521d\u3081\u3066 PyTorch* \u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u306b\u5c0e\u5165\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* 2.5 \u30ea\u30ea\u30fc\u30b9\u3067\u30d9\u30fc\u30bf\u54c1\u8cea\u306b\u5230\u9054\u3067\u304d\u308b\u3088\u3046\u3001\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8\u306e\u6a5f\u80fd\u3068\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u7d99\u7d9a\u7684\u306b\u5f37\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u88fd\u54c1\u958b\u767a\u304c\u3055\u3089\u306b\u9032\u3093\u3060\u3089\u3001\u30a4\u30f3\u30c6\u30eb\u306e\u30af\u30e9\u30a4\u30a2\u30f3\u30c8 GPU \u306f AI PC \u4f7f\u7528\u30b7\u30ca\u30ea\u30aa\u306e GPU \u30b5\u30dd\u30fc\u30c8\u30ea\u30b9\u30c8\u306b\u8ffd\u52a0\u3055\u308c\u308b\u4e88\u5b9a\u3067\u3059\u3002\u307e\u305f\u3001PyTorch* 2.5 \u3067\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u6a5f\u80fd\u3082\u691c\u8a0e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Eager \u30e2\u30fc\u30c9: \u3088\u308a\u591a\u304f\u306e Aten \u6f14\u7b97\u5b50\u3092\u5b9f\u88c5\u3057\u3001Dynamo Torchbench \u3068 TIMM Eager \u30e2\u30fc\u30c9\u3092\u5b8c\u5168\u306b\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li>Torch.compile: \u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u5f15\u304d\u63db\u3048\u306b Dynamo Torchbench \u3068 TIMM \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30fb\u30b3\u30f3\u30d1\u30a4\u30eb\u30fb\u30e2\u30fc\u30c9\u3092\u5b8c\u5168\u306b\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u30d7\u30ed\u30d5\u30a1\u30a4\u30e9\u30fc\u3068\u30e6\u30fc\u30c6\u30a3\u30ea\u30c6\u30a3\u30fc: torch.profile \u3092\u6709\u52b9\u306b\u3057\u3066\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/li>\n\n\n\n<li>PyPI wheel \u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3\u3002<\/li>\n\n\n\n<li>Windows* \u3068\u30a4\u30f3\u30c6\u30eb\u306e\u30af\u30e9\u30a4\u30a2\u30f3\u30c8 GPU \u30b7\u30ea\u30fc\u30ba\u306e\u30b5\u30dd\u30fc\u30c8\u3002<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30fc\u306b\u3088\u308b&nbsp;<a href=\"https:\/\/github.com\/pytorch\/pytorch?tab=readme-ov-file#intel-gpu-support\" rel=\"noreferrer noopener\" target=\"_blank\">PyTorch* \u306e\u30a4\u30f3\u30c6\u30eb\u00ae GPU \u30b5\u30dd\u30fc\u30c8<\/a>&nbsp;(\u82f1\u8a9e) \u3078\u306e\u65b0\u3057\u3044\u8ca2\u732e\u306e\u8a55\u4fa1\u3092\u6b53\u8fce\u3057\u307e\u3059\u3002\u202f<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u95a2\u9023\u60c5\u5831<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/pytorch.org\/docs\/main\/notes\/get_start_xpu.html\" rel=\"noreferrer noopener\" target=\"_blank\">PyTorch* 2.4: \u30a4\u30f3\u30c6\u30eb\u00ae GPU \u3067\u4f7f\u7528\u3059\u308b<\/a>&nbsp;(\u82f1\u8a9e)<\/li>\n\n\n\n<li><a href=\"https:\/\/github.com\/pytorch\/pytorch\/releases\" rel=\"noreferrer noopener\" target=\"_blank\">PyTorch* \u30ea\u30ea\u30fc\u30b9\u30ce\u30fc\u30c8<\/a>&nbsp;(\u82f1\u8a9e)<\/li>\n\n\n\n<li><a href=\"https:\/\/www.xlsoft.com\/jp\/products\/intel\/devcloud\/index.html\">\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u8b1d\u8f9e<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PyTorch* \u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30fb\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30fc\u306e\u6280\u8853\u8b70\u8ad6\u3068\u6d1e\u5bdf\u306b\u611f\u8b1d\u3057\u307e\u3059: Nikita Shulga\u3001Jason Ansel\u3001Andrey Talman\u3001Alban Desmaison\u3001Bin Bao\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u307e\u305f\u3001PyTorch* \u30c1\u30fc\u30e0\u306e\u30d7\u30ed\u30d5\u30a7\u30c3\u30b7\u30e7\u30ca\u30eb\u30fb\u30b5\u30dd\u30fc\u30c8\u3068\u6307\u5c0e\u306b\u3082\u611f\u8b1d\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u88fd\u54c1\u304a\u3088\u3073\u6027\u80fd\u306b\u95a2\u3059\u308b\u60c5\u5831<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-size:14px\"><sup>1<\/sup>&nbsp;\u6027\u80fd\u306f\u3001\u4f7f\u7528\u72b6\u6cc1\u3001\u69cb\u6210\u3001\u305d\u306e\u4ed6\u306e\u8981\u56e0\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"http:\/\/www.intel.com\/PerformanceIndex\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/www.intel.com\/PerformanceIndex\/<\/a>&nbsp;(\u82f1\u8a9e) \u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-group gray-bg\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\">\u65e5\u672c\u8a9e\u3067\u306e\u512a\u5148\u30b5\u30dd\u30fc\u30c8\u306e\u3054\u6848\u5185<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u30a8\u30af\u30bb\u30eb\u30bd\u30d5\u30c8\u306f\u3001\u30a4\u30f3\u30c6\u30eb<sup>\u00ae<\/sup>&nbsp;\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u30c4\u30fc\u30eb\u306e\u6b63\u898f\u8ca9\u58f2\u4ee3\u7406\u5e97\u3068\u3057\u3066\u300125 \u5e74\u4ee5\u4e0a\u306b\u308f\u305f\u3063\u3066\u56fd\u5185\u306e\u958b\u767a\u8005\u5411\u3051\u306b\u65e5\u672c\u8a9e\u3067\u6280\u8853\u30b5\u30dd\u30fc\u30c8\u3084\u6700\u65b0\u60c5\u5831\u3092\u63d0\u4f9b\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u30a4\u30f3\u30c6\u30eb\u3068\u306e\u9577\u5e74\u306e\u5f37\u56fa\u306a\u30d1\u30fc\u30c8\u30ca\u30fc\u30b7\u30c3\u30d7\u3092\u901a\u3057\u3066\u3001\u56fd\u5185\u306b\u5b58\u5728\u3059\u308b\u591a\u304f\u306e\u4f01\u696d\u3001\u7814\u7a76\u6a5f\u95a2\u3001\u5b66\u8853\u6a5f\u95a2\u3067\u306e\u30c4\u30fc\u30eb\u306e\u5c0e\u5165\u3084\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6700\u9069\u5316\u306b\u643a\u308f\u3063\u3066\u304d\u305f\u7d4c\u9a13\u3092\u6d3b\u304b\u3057\u3001\u56fd\u5185\u306e\u958b\u767a\u8005\u3084\u4f01\u696d\u306b\u3088\u308b\u30af\u30e9\u30a6\u30c9\u306e\u5c0e\u5165\u3092\u4fc3\u9032\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u30a4\u30f3\u30c6\u30eb\u958b\u767a\u30c4\u30fc\u30eb\u3092\u6d3b\u7528\u3057\u3066\u30af\u30e9\u30a6\u30c9\u74b0\u5883\u3067\u3082\u9ad8\u901f\u3067\u30aa\u30fc\u30d7\u30f3\u306a\u958b\u767a\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306e\u304a\u624b\u4f1d\u3044\u3092\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-font-size\" style=\"font-size:15px\"><a class=\"wp-block-button__link has-white-color has-text-color has-background wp-element-button\" href=\"https:\/\/www.xlsoft.com\/jp\/products\/intel\/oneapi\/index.html\" style=\"border-radius:10px;background-color:#e64946\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>\u958b\u767a\u30c4\u30fc\u30eb\u30b9\u30a4\u30fc\u30c8\u306e\u8a73\u7d30\u306f\u3053\u3061\u3089<\/strong><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-font-size\" 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