{"version":"1.0","provider_url":"https://hatena.blog","width":"100%","type":"rich","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2021/11/28/231637","height":"190","published":"2021-11-28 23:16:37","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2021%2F11%2F28%2F231637\" title=\"\u8a73\u89e3\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0 \u7b2c2\u7248 (4) - \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>","provider_name":"Hatena Blog","description":"x,t = next(iter(train_dataloader)) print('t of train_dataloader:', t.is_contiguous()) x,t = next(iter(val_dataloader)) print('t of val_dataloader:', t.is_contiguous()) x,t = next(iter(test_dataloader)) print('t of test_dataloader:', t.is_contiguous()) t of train_dataloader: False t of val_dataloader\u2026","author_name":"derwind","image_url":null,"title":"\u8a73\u89e3\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0 \u7b2c2\u7248 (4)","categories":["machine_learning"],"author_url":"https://blog.hatena.ne.jp/derwind/","blog_url":"https://randommemory.hatenablog.com/"}