{"title":"PyTorch \u304c Intel GPU \u306e\u30b5\u30dd\u30fc\u30c8\u3092\u958b\u59cb\u3057\u307e\u3057\u305f","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftouch-sp.hateblo.jp%2Fentry%2F2025%2F01%2F21%2F234518\" title=\"PyTorch \u304c Intel GPU \u306e\u30b5\u30dd\u30fc\u30c8\u3092\u958b\u59cb\u3057\u307e\u3057\u305f - Intel GPU\u3067\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u52d5\u304b\u3057\u305f\u308a\u753b\u50cf\u3084\u52d5\u753b\u3092\u4f5c\u3063\u305f\u308a\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","published":"2025-01-21 23:45:18","version":"1.0","url":"https://touch-sp.hateblo.jp/entry/2025/01/21/234518","author_name":"touch-sp","author_url":"https://blog.hatena.ne.jp/touch-sp/","height":"190","provider_url":"https://hatena.blog","width":"100%","blog_title":"Intel GPU\u3067\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u52d5\u304b\u3057\u305f\u308a\u753b\u50cf\u3084\u52d5\u753b\u3092\u4f5c\u3063\u305f\u308a","blog_url":"https://touch-sp.hateblo.jp/","provider_name":"Hatena Blog","image_url":null,"description":"\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u3057\u305f\u308a\u3001\u65b9\u6cd5\u304c\u5909\u308f\u3063\u305f\u3089\u9069\u5b9c\u8ffd\u52a0\u3057\u307e\u3059\u3002 2025\u5e7411\u670827\u65e5\u8a18\u8f09 (PyTorch 2.9.x) \u4f7f\u7528\u3057\u305fPC \u74b0\u5883\u69cb\u7bc9 \u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30c9\u30e9\u30a4\u30d0\u30fc\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb oneAPI\u306a\u3069\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb PyTorch\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb 2025\u5e749\u67088\u65e5\u8a18\u8f09 (PyTorch 2.8.x) \u4f7f\u7528\u3057\u305fPC \u74b0\u5883\u69cb\u7bc9 \u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30c9\u30e9\u30a4\u30d0\u30fc\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb oneAPI\u306a\u3069\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb PyTorch\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb 2025\u5e741\u670821\u65e5\u8a18\u8f09 (PyTorch 2.5.x or 2.6.x) \u4f7f\u7528\u3057\u305fPC \u74b0\u5883\u69cb\u7bc9 \u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30c9\u30e9\u30a4\u30d0\u30fc\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb oneAPI\u306a\u3069\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb PyTo\u2026","categories":[],"type":"rich"}