From fcbee35a15f15a7f3e4025ae6be3f469ba6ac0fb Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Sat, 13 Apr 2024 00:10:01 +0000 Subject: [PATCH] [U] Update channel content --- exports/hykilp/atom.xml | 2 +- exports/hykilp/index.html | 2 +- exports/hykilp/posts.json | 2 +- exports/hykilp/rss.xml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/exports/hykilp/atom.xml b/exports/hykilp/atom.xml index 286c211b4..28f54aaf9 100644 --- a/exports/hykilp/atom.xml +++ b/exports/hykilp/atom.xml @@ -2,7 +2,7 @@ https://aza.moe/life 小桂桂的回忆录 📒 - 2024-04-12T22:09:17.088929+00:00 + 2024-04-13T00:09:58.813952+00:00 python-feedgen https://aza.moe/meru_256px.png diff --git a/exports/hykilp/index.html b/exports/hykilp/index.html index d670dc7f2..f2c30c49c 100644 --- a/exports/hykilp/index.html +++ b/exports/hykilp/index.html @@ -27,7 +27,7 @@ diff --git a/exports/hykilp/posts.json b/exports/hykilp/posts.json index 6a7380098..40eee5be0 100644 --- a/exports/hykilp/posts.json +++ b/exports/hykilp/posts.json @@ -48826,7 +48826,7 @@ "id": 3575, "date": "2024-04-12T13:46:41", "text": "刚刚起床看到了 Fabrice Bellard 新发布的 TSAC 音频编码,是一个用二进制语言重写、为了实际应用优化过的 DAC neural codec,真的没想到去年六月刚 preprint 的论文今年就能见到实际应用了!\n\n我去年的研究里还用到了 DAC 来着,当时这个东西几乎是所有向量模型里最重的一个,即是双通道、每帧尺寸和帧频率也都很大... 导致这一个模型存下来的矢量 npy 几乎和所有其他模型加起来一样大了(还存了一张加载矢量的时候非常壮观的 btop)\n\n不过看上去 TSAC 解决了很多它的问题,转 8bit 把模型权重减轻了不少,也不需要依赖复杂的 python 环境运行了。好期待哪天 Bellard 能把它整合进 ffmpeg qwq", - "views": 29, + "views": 30, "forwards": 0, "media_group_id": 13703436811200701, "images": [ diff --git a/exports/hykilp/rss.xml b/exports/hykilp/rss.xml index 6216e1d48..554c55374 100644 --- a/exports/hykilp/rss.xml +++ b/exports/hykilp/rss.xml @@ -12,7 +12,7 @@ https://aza.moe/life zh-cn - Fri, 12 Apr 2024 22:09:17 +0000 + Sat, 13 Apr 2024 00:09:58 +0000 小桂桂的回忆录 📒 #3575 https://aza.moe/life?post=3575