{"height":"190","url":"https://randommemory.hatenablog.com/entry/2019/07/28/114419","author_url":"https://blog.hatena.ne.jp/derwind/","title":"numpy\u306eGPU\u7248","provider_name":"Hatena Blog","version":"1.0","type":"rich","author_name":"derwind","blog_url":"https://randommemory.hatenablog.com/","width":"100%","published":"2019-07-28 11:44:19","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","provider_url":"https://hatena.blog","image_url":null,"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2019%2F07%2F28%2F114419\" title=\"numpy\u306eGPU\u7248 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"Pytorch Tensor\u306b\u3064\u3044\u3066 - Qiita python\u3067\u7c21\u5358\u306bGPU\u8a08\u7b97\u304c\u3067\u304d\u308bCupy\u3092\u7d39\u4ecb - Qiita \u3068\u304b\u304c\u8a72\u5f53\u3059\u308b\u3089\u3057\u3044\u3002numpy\u3067\u3082\u6211\u6162\u3067\u304d\u306a\u3044\u4e16\u754c\u304c\u3042\u308b\u306e\u304b\u30fb\u30fb\u30fb\u3002 Interoperability \u2014 CuPy 6.2.0 documentation\u306b\u76f8\u4e92\u904b\u7528\u6027\u306b\u3064\u3044\u3066\u306e\u8a18\u8ff0\u304c\u3042\u308b\u3002 CuPy \u5165\u9580 \u2014 \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u5165\u9580\uff1aChainer \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306b\u3082\u89e3\u8aac\u304c\u3042\u308b\u3002","categories":["machine_learning"]}