{"published":"2020-04-17 00:19:15","version":"1.0","author_url":"https://blog.hatena.ne.jp/derwind/","provider_url":"https://hatena.blog","image_url":null,"author_name":"derwind","blog_url":"https://randommemory.hatenablog.com/","width":"100%","categories":["machine_learning"],"title":"Jupyter lab\u3067GPU\u306e\u4f7f\u7528\u72b6\u6cc1\u3092\u898b\u305f\u3044","description":"NVDashboard \u4f7f\u3063\u3066\u307f\u305f (jupyter\u74b0\u5883\u3067GPU\u3092\u4f7f\u3046\u65b9\u3078) - Qiita\u3068\u3044\u3046\u65b9\u6cd5\u304c\u3042\u308b\u307f\u305f\u3044\u3002 nvidia-smi -l 1 \u3068 free -s 1 -m \u3092\u5b9f\u884c\u3057\u3066\u76e3\u8996\u3059\u308b\u306e\u3082\u3042\u308a\u3002 \u7279\u306b nvidia-smi -l 1 | awk '/Default/ {print $9 \" \" $10 \" \" $11}' free -s 1 -m | awk '/Mem:/ {print $4 \" / \" $2}' \u8fba\u308a\u304c\u826f\u3044\u304b\uff1f nvidia-smi\u3067GPU\u306e\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u3092\u7d99\u7d9a\u7684\u306b\u76e3\u8996\u3059\u308b - Qiita\u3082\u826f\u3055\u305d\u3046\u3002Overfit and underfit | TensorFl\u2026","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2020%2F04%2F17%2F001915\" title=\"Jupyter lab\u3067GPU\u306e\u4f7f\u7528\u72b6\u6cc1\u3092\u898b\u305f\u3044 - \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>","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","provider_name":"Hatena Blog","type":"rich","url":"https://randommemory.hatenablog.com/entry/2020/04/17/001915"}