赛题十五：PIRBN 子目录 1D_sine_function #536

co63oc · 2023-09-12T09:13:51Z

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PaddlePaddle/Paddle#55663

赛题十五：PaddleScience 领域前沿论文复现
实现子目录 1D_nonlinear_spring

测试精度a_g

-	Tensorflow	Paddle
a_g	1.0004051	1.0005087

Tensorflow 运行

Paddle运行

paddle-bot · 2023-09-12T09:14:10Z

Thanks for your contribution!

wangguan1995

NTK plot needs to be implemented.

wangguan1995 · 2023-09-12T12:46:29Z

jointContribution/PIRBN/1D_nonlinear_spring/OPT.py

+paddle.framework.core.set_prim_eager_enabled(True)
+
+
+class Adam:


能否尝试使用 paddle adma优化器
https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/optimizer/Adam_cn.html

已修改Adam

wangguan1995 · 2023-09-13T03:53:09Z

jointContribution/PIRBN/1D_nonlinear_spring/Cal_jac.py

+import paddle
+
+
+def cal_adapt(pirbn, x):


参考：
源论文Page4，Theorem 3.1.4
论文Page8 https://www.sciencedirect.com/science/article/pii/S002199912100663X

此函数用于计算NTK矩阵，对应论文变量名称为Kg，请补充下相关函数注释（引用论文公式xx，页数xx）

对关键变量如 lambda_g lambda_b1 lambda_b2 进行注释说明（特征值，计算雅可比矩阵）

对NTK矩阵进行可视化，尝试复现论文Fig. 1，可以参考https://github.com/PredictiveIntelligenceLab/PINNsNTK/blob/master/PINNsNTK_Poisson1D.ipynb

修改为 pirbn.cal_ntk ，变量为 Kg
已增加引用公式页
可视化为 analytical_solution.output_fig subplot(2, 3, 4)

使用原tensorflow代码https://github.com/JinshuaiBai/PIRBN/tree/main/1D_sine_function，显示图和论文图Fig.1不同，设置参数mu=4, b=10.0

### Define mu mu = 4 ### Define the number of sample points ns = 51 ### Define the sample points' interval dx = 1./(ns-1) ### Initialise sample points' coordinates xy = np.zeros((ns, 1)).astype(np.float32) for i in range(0, ns): xy[i, 0] = i * dx xy_b = np.array([[0.], [1.]]) x = [xy, xy_b] y = [-4*mu**2*np.pi**2*np.sin(2*mu*np.pi*xy)] ### Set up raidal basis network n_in = 1 n_out = 1 n_neu = 61 b=10. c = [-0.1, 1.1]

原论文图

wangguan1995 · 2023-09-13T03:54:38Z

jointContribution/PIRBN/1D_nonlinear_spring/Main.py

+y = rbn(paddle.to_tensor(xy))
+y = y.numpy()
+plt.plot(xy, y)
+plt.plot(xy, xy * np.sin(xy))


解析解请单独命名为analytical_solution, 并进行注释

wangguan1995 · 2023-09-13T03:55:46Z

jointContribution/PIRBN/1D_nonlinear_spring/Main.py

+target_dir = os.path.join(os.path.dirname(__file__), "../target")
+if not os.path.exists(target_dir):
+    os.mkdir(target_dir)
+plt.savefig(os.path.join(target_dir, "1D_nonlinear_spring.png"))


请加一张absolute error计算结果的图片

analytical_solution 子图 plt.subplot(2, 3, 2) 计算absolute error

wangguan1995 · 2023-09-13T03:56:21Z

jointContribution/PIRBN/1D_nonlinear_spring/OPT.py

+paddle.framework.core.set_prim_eager_enabled(True)
+
+
+class Adam:


class 可以命名为Trainer更恰当

wangguan1995 · 2023-09-13T04:00:22Z

jointContribution/PIRBN/1D_nonlinear_spring/rbn_net.py

+            default_initializer=paddle.nn.initializer.Normal(mean=0.0, std=0.05),
+        )
+
+    def forward(self, inputs):  # Defines the computation from inputs to outputs


此处应该是用了类似论文Page13的激活函数
尝试单独抽象出激活函数 def activate（）

设置激活函数 RBF_layer1.rbf_activate

wangguan1995 · 2023-09-13T04:01:32Z

jointContribution/PIRBN/requirements.txt

@@ -0,0 +1,7 @@
+numpy


这个requirements在PaddleScience主目录下已经有了
如果有新的库需要添加，请加到主目录下的requirement.txt

wangguan1995

当前复现代码的公式有点问题，需要复现的论文指标为：Fig 1 Fig 2 Fig 3 Fig 6，具体内容见review

wangguan1995 · 2023-09-18T08:43:52Z

jointContribution/PIRBN/README.md

+
+ - 1D sine funtion (**Eq. 1** in the manuscript)
+
+      **PDE**: $\frac{\partial^2 }{\partial x^2}u(x)-4\mu^2\pi^2 sin(2\mu\pi(x))=0, x\in[0,1]$


之前的修改都很好，都是符合要求的，但是图片结果上还有一些不清楚的地方，特此说明下：
论文图片指标：

Fig 1 ：单层PINN方法（不是PIRBN），公式（13），mu = 4, 【tanh激活函数】，论文显示勉强收敛

Fig. 2 ：单层PINN方法（不是PIRBN），公式（13），改变 mu = 8, 【tanh激活函数】，病态了，论文的图显示结果很差

Fig. 3 ：单层PINN方法（不是PIRBN），改变公式（15）， mu = 4, 【tanh激活函数】，病态了，论文的图显示结果很差

Fig. 6：单层PIRBN（源代码实现），改变公式（15），改变 mu = 8, 改变【高斯激活函数】，结果非常优秀，说明PIRBN很有用

另外，此处公式好像和源代码对不上

Fig1, Fig2, Fig3 使用tanh和论文不一致

Fig6改变激活函数和论文一致
Fig1

Fig2

Fig3

Fig6

公式和源码是一致

不同激活函数设置

def gaussian_function(self, temp_x): x0 = ( paddle.reshape( paddle.arange(self.n_neu, dtype=paddle.get_default_dtype()), (1, self.n_neu), ) * (self.c[1] - self.c[0]) / (self.n_neu - 1) + self.c[0] ) x_new = temp_x - x0 s = self.b * self.b return paddle.exp(-(x_new * x_new) * s) def tanh_function(self, temp_x): return paddle.tanh(temp_x)

可能源代码有点问题Fig 1我用了这篇文章的Reference源码做了一下图
PredictiveIntelligenceLab/PINNsNTK@18ef519

可能jacobian那个函数有点问题，看看和这个仓库对齐一下

wangguan1995 · 2023-09-18T08:45:53Z

jointContribution/PIRBN/pirbn.py

+import paddle
+
+
+class Dif(paddle.nn.Layer):


这个类有些多余，请去掉并合并

wangguan1995 · 2023-09-18T08:47:55Z

jointContribution/PIRBN/pirbn.py

+        return [u_xx, u_b]
+
+    def cal_ntk(self, x):
+        # Formula (4), Page5, \gamma variable


是指这个公式吗？

https://arxiv.org/ftp/arxiv/papers/2304/2304.06234.pdf

这个论文是旧版的，作者8月3号更新了论文新地址和版本，辛苦更新一下页码

wangguan1995 · 2023-09-18T08:48:50Z

jointContribution/PIRBN/pirbn.py

+                gamma_g = gamma_g + paddle.sum(j**2) / n1
+            temp = paddle.concat((l1t[0], l1t[1].reshape((1, n_neu))), axis=1)
+            if i == 0:
+                # Fig.1, Page8, Kg variable


页码好像是5？

https://arxiv.org/ftp/arxiv/papers/2304/2304.06234.pdf

wangguan1995 · 2023-09-18T08:53:18Z

jointContribution/PIRBN/train.py

+            loss.backward()
+            self.optimizer.step()
+            self.optimizer.clear_grad()
+        return loss, [self.his_l1, self.his_l2]


返回值没用上, 可以去掉了

wangguan1995 · 2023-09-18T08:59:02Z

jointContribution/PIRBN/pirbn.py

+    def cal_ntk(self, x):
+        # Formula (4), Page5, \gamma variable
+        gamma_g = 0.0
+        gamma_b = 0.0


wangguan1995 · 2023-09-18T09:03:11Z

jointContribution/PIRBN/train.py

+        ]
+        self.y_train = paddle.to_tensor(y_train, dtype=paddle.get_default_dtype())
+        self.maxiter = maxiter
+        self.his_l1 = []


改为loss_b 并注释是boundary loss

wangguan1995 · 2023-09-18T09:05:02Z

jointContribution/PIRBN/train.py

+        self.y_train = paddle.to_tensor(y_train, dtype=paddle.get_default_dtype())
+        self.maxiter = maxiter
+        self.his_l1 = []
+        self.his_l2 = []


改为loss_g 并注释是eq loss

wangguan1995 · 2023-09-18T09:05:28Z

jointContribution/PIRBN/train.py

+
+    def evaluate(self):
+        # compute loss
+        loss, l1, l2 = self.Loss(self.x_train, self.y_train, self.a_g, self.a_b)


同上，增强可读性

wangguan1995 · 2023-09-18T09:08:14Z

jointContribution/PIRBN/rbn_net.py

+            + self.c[0]
+        )
+        x_new = temp_x - x0
+        return self.rbf_activate(x_new)


如果和PINN对比，可能会出现两种激活函数 tanh 和这个rbf_activate在论文里名称应该叫Gaussian function，改一下激活函数名

注释 #Formula (19), Page7

https://arxiv.org/ftp/arxiv/papers/2304/2304.06234.pdf
是在Page10

wangguan1995

need debug for fig 1

wangguan1995 · 2023-09-19T10:05:52Z

jointContribution/PIRBN/README.md

+
+ - 1D sine funtion (**Eq. 1** in the manuscript)
+
+      **PDE**: $\frac{\partial^2 }{\partial x^2}u(x)-4\mu^2\pi^2 sin(2\mu\pi(x))=0, x\in[0,1]$


可能源代码有点问题Fig 1我用了这篇文章的Reference源码做了一下图
PredictiveIntelligenceLab/PINNsNTK@18ef519

可能jacobian那个函数有点问题，看看和这个仓库对齐一下

wangguan1995 · 2023-09-19T10:08:47Z

jointContribution/PIRBN/pirbn.py

+        return [u_xx, u_b]
+
+    def cal_ntk(self, x):
+        # Formula (4), Page5, \gamma variable


这个论文是旧版的，作者8月3号更新了论文新地址和版本，辛苦更新一下页码

wangguan1995 · 2023-09-19T10:09:05Z

jointContribution/PIRBN/rbn_net.py

+            + self.c[0]
+        )
+        x_new = temp_x - x0
+        return self.rbf_activate(x_new)


wangguan1995 · 2023-09-19T11:16:33Z

jointContribution/PIRBN/train.py

@@ -0,0 +1,67 @@
+import paddle
+
+# Used to calculate the second-order derivatives


已增加 PINN 目录运行PINN.py, Kg结果图

Page页码已修改

注释已删除

wangguan1995

need to fix

jointContribution/PIRBN/rbn_net.py

docs/zh/examples/pirbn.md

jointContribution/PIRBN/main.py

docs/zh/examples/pirbn.md

jointContribution/PIRBN/main.py

jointContribution/PIRBN/rbn_net.py

wangguan1995

need fix

docs/zh/examples/pirbn.md

wangguan1995

Pass

jointContribution/PIRBN/jacobian_test.py

jointContribution/PIRBN/rbn_net.py

jointContribution/PIRBN/train.py

jointContribution/PIRBN/README.md

HydrogenSulfate

LGTM

* Add PIRBN * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix * Fix

Add PIRBN

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paddle-bot bot added the contributor label Sep 12, 2023

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luotao1 mentioned this pull request Sep 13, 2023

中国软件开源创新大赛：飞桨框架任务挑战赛（下） PaddlePaddle/Paddle#55663

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co63oc force-pushed the pirbn branch from 9c08c32 to 913dd05 Compare September 13, 2023 23:44

co63oc changed the title ~~赛题十五：PIRBN 子目录 1D_nonlinear_spring~~ 赛题十五：PIRBN 子目录 1D_sine_function Sep 13, 2023

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co63oc deleted the pirbn branch October 31, 2023 06:50

		paddle.framework.core.set_prim_eager_enabled(True)


		class Adam:


		- 1D sine funtion (Eq. 1 in the manuscript)

		PDE: $\frac{\partial^2 }{\partial x^2}u(x)-4\mu^2\pi^2 sin(2\mu\pi(x))=0, x\in[0,1]$

		@@ -0,0 +1,67 @@
		import paddle

		# Used to calculate the second-order derivatives

赛题十五：PIRBN 子目录 1D_sine_function #536

赛题十五：PIRBN 子目录 1D_sine_function #536

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co63oc commented Sep 12, 2023 • edited Loading

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co63oc commented Sep 12, 2023 •

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