From 5d5fc48a3c8b3085b4d6bc8ae549bcbf1ab9fba1 Mon Sep 17 00:00:00 2001 From: xusuyong <2209245477@qq.com> Date: Wed, 25 Oct 2023 16:01:38 +0800 Subject: [PATCH] xusuyong add 2023.10.10~2023.10.24 WeeklyReport --- .../[WeeklyReport]2023.10.10~2023.10.24.md | 30 ++++++++++++++++++ WeeklyReports/13_xusuyong/pred.png | Bin 0 -> 146166 bytes 2 files changed, 30 insertions(+) create mode 100644 WeeklyReports/13_xusuyong/[WeeklyReport]2023.10.10~2023.10.24.md create mode 100644 WeeklyReports/13_xusuyong/pred.png diff --git a/WeeklyReports/13_xusuyong/[WeeklyReport]2023.10.10~2023.10.24.md b/WeeklyReports/13_xusuyong/[WeeklyReport]2023.10.10~2023.10.24.md new file mode 100644 index 00000000..c754d5a8 --- /dev/null +++ b/WeeklyReports/13_xusuyong/[WeeklyReport]2023.10.10~2023.10.24.md @@ -0,0 +1,30 @@ +### 姓名 + +徐苏勇 + +Github ID:[xusuyong](https://github.com/xusuyong) + +### 实习项目 + +[科学计算领域拓展专项](https://github.com/PaddlePaddle/community/blob/master/hackathon/hackathon_5th/%E3%80%90PaddlePaddle%20Hackathon%205th%E3%80%91%E9%A3%9E%E6%A1%A8%E6%8A%A4%E8%88%AA%E8%AE%A1%E5%88%92%E9%9B%86%E8%AE%AD%E8%90%A5%E9%A1%B9%E7%9B%AE%E5%90%88%E9%9B%86.md#%E9%A1%B9%E7%9B%AE%E5%8D%81%E4%B8%89%E7%A7%91%E5%AD%A6%E8%AE%A1%E7%AE%97%E9%A2%86%E5%9F%9F%E6%8B%93%E5%B1%95%E4%B8%93%E9%A1%B9) + +### 本周工作 + +1. **改造PaddleScience下的案例laplace2d的代码为Hydra的形式** + - 理解并跑通了DeepONet、laplace2d等案例,熟悉了PaddleScience用PINN和神经算子的算法解偏微分方程的基本逻辑 + - 改造laplace2d案例的代码的代码,使之能使用[Hydra](https://hydra.cc/)库,方便实验管理和解析。PR地址:[modify laplace2d to hydra style](https://github.com/PaddlePaddle/PaddleScience/pull/575) +2. **学习理解用DDPM算法从低分辨数据重构高分辨率数据** + - 学习理解DDPM算法,复现文献 **A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction** (Journal of Computational Physics | arXiv),理解作者是如何将物理知识融入DDPM算法,模型预测的结果: +![](pred.png) + - 学习使用SU2 +3. **问题疑惑与解答** + - 问题:原始的DDPM/DDIM采样算法是从输入高斯噪声开始,生成的是随机的图片难以控制,如何让它生成我们想要的高分辨率数据? + + 答:为了解决这个问题,需要一个有指导的数据生成程序,其中使用低精度CFD数据作为生成高精度CFD数据的条件。反向扩散过程的马尔可夫性质意味着生成x0的过程不必从xT开始,而是可以从任何时间步长t∈{1,…,t}开始,前提是xT可用。该属性允许用户在后向扩散过程的特定时间步长选择中间样本,并将其发送到马尔可夫链的剩余部分以获得x0。 +### 下周工作 + +1. 学习物理信息扩散模型,理解它是如何将物理信息加入DDPM算法的。 +2. 调研SU2与DDPM的结合使用方式 + +### 导师点评 + diff --git a/WeeklyReports/13_xusuyong/pred.png b/WeeklyReports/13_xusuyong/pred.png new file mode 100644 index 0000000000000000000000000000000000000000..f9decf6a2b74eebc3a7e648df390f40559e2e1c5 GIT binary patch literal 146166 zcmY&FsA|N1seSJ*dng-wBOu^d{pWh~LmK3W@CE@vMgD_+0O0V+7+O2-2a9=9{3to;vgYR7 zF3zcvM#wac;Yy}LNrB-KhIPjt#~nc{)1{S)-2BLvUhs#&{;Q zsp1YW6Vv1TrP27&Cekb$}y8C5O+}U9M^YfPUvz-3NyH+W1%E8wCe-F@dhrXvLXiHyrqQ)2Z`S|E=09)1eqHe*JpT7&|1~v5vlQyr|2Rx|`=5JKgwX%%72A{sspo%(Ck5`dI6CTn;p?s79wGL6q6n6l4OIXV8HQB`z#qL>nu4dw0IOtq(WF*PQtS!41Gm+^+ zFJx2iPTb7$DffCF^vLqE9X2d|Z~0{TW+aATwtw;Q@v-RQ+ri!HQ8EM*R5nq5nsFvG zlM{Sq`truDg-)7^4E7v-1L|In``J2p=Gf4mfGZzce#)HGG5ZE2?)G%kw)PTxyu_jm 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