{"type":"rich","image_url":null,"blog_url":"https://buq.hateblo.jp/","url":"https://buq.hateblo.jp/entry/2016/02/16/222006","blog_title":"buq\u2019s blog","description":"OK \u306a\u30b3\u30fc\u30c9 model = Regression(Model()) if gpu >= 0: xp = cuda.cupy cupy.cuda.Device(gpu).use() model.to_gpu() else: xp = np opt = optimizers.Adam() # \u30e2\u30c7\u30eb\u3092 gpu \u306b\u79fb\u3057\u305f\u3042\u3068\u3067 opt.setup(model) # optimizer \u3068\u7d10\u4ed8\u3051\u308b\u3068OK NG\u306a\u30b3\u30fc\u30c9 model = Regression(Model()) opt = optimizers.Adam() # \u30e2\u30c7\u30eb\u3092 gpu \u306b\u79fb\u3059\u524d\u306b opt.setup(model) # opt\u2026","author_url":"https://blog.hatena.ne.jp/buq/","provider_name":"Hatena Blog","width":"100%","published":"2016-02-16 22:20:06","categories":["chainer","python","deep-learning"],"version":"1.0","title":"chainer \u306b GPU \u8a08\u7b97\u3092\u3055\u305b\u308b\u3068\u304d\u306f model \u3092 GPU \u306b\u79fb\u3057\u3066\u304b\u3089 optimizer \u3068\u7d10\u4ed8\u3051\u308b","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fbuq.hateblo.jp%2Fentry%2F2016%2F02%2F16%2F222006\" title=\"chainer \u306b GPU \u8a08\u7b97\u3092\u3055\u305b\u308b\u3068\u304d\u306f model \u3092 GPU \u306b\u79fb\u3057\u3066\u304b\u3089 optimizer \u3068\u7d10\u4ed8\u3051\u308b - buq\u2019s blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_name":"buq","provider_url":"https://hatena.blog"}