{"image_url":null,"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fcookie-box.hatenablog.com%2Fentry%2F2022%2F04%2F07%2F235620\" title=\"\u96d1\u8a18\uff1a WSL2 + CUDA 11.6 \u306b Jax \u3092 Pipenv \u3067\u5c0e\u5165\u3059\u308b\u3060\u3051 - \u30af\u30c3\u30ad\u30fc\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["\u96d1\u8a18"],"author_name":"cookie-box","blog_url":"https://cookie-box.hatenablog.com/","height":"190","provider_name":"Hatena Blog","blog_title":"\u30af\u30c3\u30ad\u30fc\u306e\u65e5\u8a18","width":"100%","published":"2022-04-07 23:56:20","author_url":"https://blog.hatena.ne.jp/cookie-box/","type":"rich","url":"https://cookie-box.hatenablog.com/entry/2022/04/07/235620","description":"\u53c2\u8003\u6587\u732e GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more GitHub - google/trax: Trax \u2014 Deep Learning with Clear Code and Speed CUDA 11.6 + cuDNN v8.2.0 on Ubuntu20.04 on WSL2 \u3078\u306e JAX \u306e\u5c0e\u5165\u306f\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u3067\u304d\u307e\u3059 [1]\u3002 $ pip install --upgrade \u2026","title":"\u96d1\u8a18\uff1a WSL2 + CUDA 11.6 \u306b Jax \u3092 Pipenv \u3067\u5c0e\u5165\u3059\u308b\u3060\u3051","version":"1.0","provider_url":"https://hatena.blog"}