{"published":"2015-07-28 18:07:54","categories":["chainer"],"version":"1.0","blog_title":"studylog/\u5317\u306e\u96f2","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fstudylog.hateblo.jp%2Fentry%2F2015%2F07%2F28%2F180754\" title=\"chainer\u30e1\u30e2\u3000\u305d\u306e4 - studylog/\u5317\u306e\u96f2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","author_name":"kitanokumo","title":"chainer\u30e1\u30e2\u3000\u305d\u306e4","height":"190","blog_url":"https://studylog.hateblo.jp/","image_url":null,"author_url":"https://blog.hatena.ne.jp/kitanokumo/","provider_name":"Hatena Blog","width":"100%","description":"CuPy 9\u6708\u306f\u3058\u3081\u306b\u4e88\u5b9a\u3055\u308c\u3066\u3044\u308b1.3.0\u3067\u5927\u578b\u306e\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u304c\u6765\u308b\u6a21\u69d8\u3002[WIP] CuPy: Add and use a new GPU array backend with NumPy-compatible interface by beam2d \u00b7 Pull Request #266 \u00b7 pfnet/chainergithub.comchainer\u3067\u306fGPU(CUDA)\u3092\u4f7f\u3046\u969b\u306bPyCUDA/scikit-cuda\u3092\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3067\u4f7f\u3063\u3066\u308b\u3051\u308c\u3069\u3001\u3053\u308c\u3092\u5168\u90e8\u81ea\u4f5c\uff1f\u306eCuPy\u3068\u3044\u3046\u3082\u306e\u306b\u7f6e\u304d\u63db\u3048\u3061\u3083\u304a\u3046\u3068\u3044\u3046\u8a71\u3089\u3057\u3044\u3002\u305d\u306e\u65b9\u304c\u958b\u767a\u52b9\u7387\u304c\u9ad8\u307e\u308b\u304b\u3089\u306a\u306e\u304b\u306a\u3002CPU\u3068GPU\u304c\u540c\u3058\u30b3\u30fc\u30c9\u3067\u66f8\u2026","type":"rich","url":"https://studylog.hateblo.jp/entry/2015/07/28/180754"}