folivo/PINA
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Automatize Tutorials html, py files creation (#496)

Browse Source 
* workflow to export tutorials

---------
This commit is contained in:
Dario Coscia
2025-03-15 11:01:19 +01:00
committed by Nicola Demo
parent aea24d0bee
commit 0146155c9b
51 changed files with 140529 additions and 440 deletions
Download Patch File Download Diff File Expand all files Collapse all files

27
tutorials/tutorial5/tutorial.ipynb vendored
View File

@@ -33,15 +33,16 @@
"source": [
"## routine needed to run the notebook on Google Colab\n",
"try:\n",
" import google.colab\n",
" IN_COLAB = True\n",
" import google.colab\n",
"\n",
" IN_COLAB = True\n",
"except:\n",
" IN_COLAB = False\n",
" IN_COLAB = False\n",
"if IN_COLAB:\n",
" !pip install \"pina-mathlab\"\n",
" !pip install scipy\n",
" # get the data\n",
" !wget https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial5/Data_Darcy.mat\n",
" !pip install \"pina-mathlab\"\n",
" !pip install scipy\n",
" # get the data\n",
" !wget https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial5/Data_Darcy.mat\n",
"\n",
"import torch\n",
"import matplotlib.pyplot as plt\n",
@@ -54,7 +55,7 @@
"from pina.solver import SupervisedSolver\n",
"from pina.problem.zoo import SupervisedProblem\n",
"\n",
"warnings.filterwarnings('ignore')"
"warnings.filterwarnings(\"ignore\")"
]
},
{
@@ -129,10 +130,10 @@
],
"source": [
"plt.subplot(1, 2, 1)\n",
"plt.title('permeability')\n",
"plt.title(\"permeability\")\n",
"plt.imshow(k_train[0])\n",
"plt.subplot(1, 2, 2)\n",
"plt.title('field solution')\n",
"plt.title(\"field solution\")\n",
"plt.imshow(u_train[0])\n",
"plt.show()"
]
@@ -278,12 +279,10 @@
" )\n",
" * 100\n",
")\n",
"print(f'Final error training {err:.2f}%')\n",
"print(f\"Final error training {err:.2f}%\")\n",
"\n",
"err = (\n",
" float(\n",
" metric_err(u_test.unsqueeze(-1), model(k_test.unsqueeze(-1))).mean()\n",
" )\n",
" float(metric_err(u_test.unsqueeze(-1), model(k_test.unsqueeze(-1))).mean())\n",
" * 100\n",
")\n",
"print(f\"Final error testing {err:.2f}%\")"