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<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="zh-cn">
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<id>https://aza.moe/life</id>
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<title>小桂桂的回忆录 📒</title>
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<updated>2024-04-12T12:08:46.146630+00:00</updated>
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<updated>2024-04-12T14:09:07.395141+00:00</updated>
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<link href="https://aza.moe/life" rel="alternate"/>
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<generator uri="https://lkiesow.github.io/python-feedgen" version="0.9.0">python-feedgen</generator>
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<logo>https://aza.moe/meru_256px.png</logo>
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<subtitle>「我们所经历的每个平凡的日常,也许就是连续发生的奇迹」</subtitle>
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<entry>
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<id>3575</id>
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<title>小桂桂的回忆录 📒 #3575</title>
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<updated>2024-04-12T13:46:41+00:00</updated>
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<content><p>刚刚起床看到了 Fabrice Bellard 新发布的 <a href="https://bellard.org/tsac">TSAC</a> 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 <a href="https://arxiv.org/abs/2306.06546">DAC</a> 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!</p>
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<p>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)</p>
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<p>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</p></content>
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<link href="https://aza.moe/life?post=3575" rel="alternate"/>
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</entry>
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<entry>
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<id>3574</id>
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<title>小桂桂的回忆录 📒 #3574</title>
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"id": 124,
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"date": "2021-10-16T16:57:39",
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"text": "做了牛肉粉丝汤!\n第一次炖肉w",
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"views": 93,
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"views": 94,
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"forwards": 2,
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"media_group_id": 13075227673535645,
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"images": [
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@@ -43901,7 +43901,7 @@
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"id": 3247,
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"date": "2024-01-25T04:14:01",
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"text": "做了一个 Pusheen theme!",
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"views": 491,
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"views": 495,
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"forwards": 11,
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{
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@@ -48439,7 +48439,7 @@
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"id": 3551,
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"date": "2024-04-03T16:04:23",
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"text": "xz 的事情之后想了想去给很自己喜欢的工具的作者点了一些 sponsor... 虽然似乎每人每月 $5 也没办法改变什么。可惜自己没有收入没办法捐助更多了",
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"views": 85,
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"views": 86,
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"forwards": 0,
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"reply": {
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"id": 3541,
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@@ -48540,7 +48540,7 @@
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"id": 3557,
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"date": "2024-04-06T11:39:09",
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"text": "试试让 DALL-E 把蓝粉星夜的这个想法画出来结果真的画得好好看 <i class=\"custom-emoji\" emoji-src=\"emoji/6170139473288890346.webm\">🤩</i>",
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"views": 205,
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"views": 206,
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"forwards": 7,
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"reply": {
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"id": 2671,
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@@ -48564,7 +48564,7 @@
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"id": 3558,
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"date": "2024-04-06T19:29:40",
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"text": "整理下房间把这两台放在一起,感觉有一种异曲同工的妙(?)",
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"views": 60,
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"views": 61,
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"forwards": 0,
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"images": [
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{
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@@ -48648,7 +48648,7 @@
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"id": 3563,
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"date": "2024-04-07T07:57:55",
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"text": "土豆草莓(?)",
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"views": 81,
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"views": 85,
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"forwards": 1,
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"images": [
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{
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@@ -48667,14 +48667,14 @@
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"id": 3564,
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"date": "2024-04-07T22:17:54",
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"text": "哭了 感觉可能是填报税用的某个网站被黑了。\n\n报完税这两天突然有好多诈骗电话打进来用我的 legal name 诈骗,今天有一个假装是 Telus 运营商的人中文跟我说我发太多短信了要给我停机(??)而且因为我和聊聊是一起报的税,同一个诈骗号码给我和聊聊都打了电话。\n\n我填过信息的报税网站有 TurboTax (US/CA), WealthSimple, OLT, Sprintax, 不知道是哪个被黑了(应该是加拿大这边的所以我猜是 TurboTax",
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"views": 62,
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"views": 63,
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"forwards": 0
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},
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{
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"id": 3565,
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"date": "2024-04-08T07:08:48",
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"text": "哭哭 今天 OS 课作业要写一个分布式内存 KV 数据库,写完发现本地跑测试会超时... 我以为是我写的代码优化太差了花一个小时用 VTune 测速,发现除了内存没有别的地方瓶颈,CPU 使用率只有 0.1%\n\n连上学校机器上跑一下同样的代码果然比在我本地的机器快了五倍... 唉 DDR3 在 2024 年真的不行了吗 <i class=\"custom-emoji\" emoji-src=\"emoji/6323556186138346934.webp\">😢</i>",
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"views": 63,
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"views": 64,
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"forwards": 2,
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"images": [
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{
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@@ -48693,14 +48693,14 @@
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"id": 3566,
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"date": "2024-04-08T14:34:26",
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"text": "出发去看日食了 qwq",
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"views": 59,
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"views": 60,
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"forwards": 0
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},
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{
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"id": 3567,
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"date": "2024-04-08T19:12:21",
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"text": "是一个用手机对着太阳拍的傻瓜",
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"views": 54,
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"views": 56,
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"forwards": 0,
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"files": [
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{
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@@ -48722,7 +48722,7 @@
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"id": 3568,
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"date": "2024-04-08T19:33:19",
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"text": "好看!",
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"views": 57,
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"views": 58,
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"forwards": 0,
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"media_group_id": 13700838399361029,
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"images": [
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@@ -48752,7 +48752,7 @@
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"id": 3570,
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"date": "2024-04-08T19:56:45",
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"text": "和前任和现任和前任的现任一起去了!好热闹好开心",
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"views": 57,
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"views": 61,
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"forwards": 0,
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"media_group_id": 13700849643192773,
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"images": [
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@@ -48801,7 +48801,7 @@
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{
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"id": 3574,
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"date": "2024-04-10T20:58:11",
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"views": 31,
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"views": 35,
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"forwards": 0,
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"files": [
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{
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@@ -48821,5 +48821,45 @@
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"thumb": "media/3574.webm_thumb.jpg"
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}
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]
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},
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{
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"id": 3575,
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"date": "2024-04-12T13:46:41",
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"text": "刚刚起床看到了 Fabrice Bellard 新发布的 <a href=\"https://bellard.org/tsac\">TSAC</a> 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 <a href=\"https://arxiv.org/abs/2306.06546\">DAC</a> 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",
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"views": 15,
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"forwards": 0,
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"media_group_id": 13703436811200701,
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"images": [
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{
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"width": 1280,
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"height": 378,
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"date": "2024-04-12T13:46:39",
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"media_type": "photo",
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"original_name": "photo_2024-04-12_13-46-39.jpg",
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"url": "media/3575.jpg",
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"size": 57177,
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"thumb": "media/3575.jpg_thumb.jpg"
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},
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{
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"width": 800,
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"height": 358,
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"date": "2024-04-12T13:46:40",
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"media_type": "photo",
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"original_name": "photo_2024-04-12_13-46-40.jpg",
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"url": "media/3576.jpg",
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"date": "2024-04-12T13:46:40",
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"media_type": "photo",
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"original_name": "photo_2024-04-12_13-46-40.jpg",
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"url": "media/3577.jpg",
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"size": 197216,
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}
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]
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}
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]
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@@ -12,7 +12,15 @@
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<link>https://aza.moe/life</link>
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</image>
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<language>zh-cn</language>
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<lastBuildDate>Fri, 12 Apr 2024 12:08:46 +0000</lastBuildDate>
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<lastBuildDate>Fri, 12 Apr 2024 14:09:07 +0000</lastBuildDate>
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<item>
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<title>小桂桂的回忆录 📒 #3575</title>
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<link>https://aza.moe/life?post=3575</link>
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<description><p>刚刚起床看到了 Fabrice Bellard 新发布的 <a href="https://bellard.org/tsac">TSAC</a> 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 <a href="https://arxiv.org/abs/2306.06546">DAC</a> 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!</p>
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<p>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)</p>
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<p>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</p></description>
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<guid isPermaLink="false">3575</guid>
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</item>
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<item>
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<title>小桂桂的回忆录 📒 #3574</title>
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<link>https://aza.moe/life?post=3574</link>
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