Update Tutorials 0.2

Author: dario-coscia

.github/workflows/tutorial.yml

@@ -0,0 +1,77 @@
+name: "Export tutorials"
+ 
+on:
+  push:
+    branches:
+      - "**"  # Run on push on all branches
+    paths:
+      - 'tutorials/**/*.ipynb'
+
+jobs:
+  export_tutorials:
+    permissions: write-all
+    runs-on: ubuntu-latest
+    env:
+      TUTORIAL_TIMEOUT: 1200s
+    steps:
+    - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: 3.8
+
+    - name: Install dependencies
+      run: |
+        # Dependencies for tutorials
+        python3 -m pip install --upgrade pip .[tutorial] black[jupyter]
+
+    - name: Setup FFmpeg
+      uses: FedericoCarboni/setup-ffmpeg@v2
+        
+    - id: files
+      uses: jitterbit/get-changed-files@v1
+      with:
+        token: ${{ secrets.GITHUB_TOKEN }}
+        format: space-delimited
+
+    - name: Configure git
+      run: |
+        git config user.name "github-actions[bot]"
+        git config user.email 41898282+github-actions[bot]@users.noreply.github.com
+
+    - name: Export tutorials to .py and .html
+      run: |
+        set -x
+        for file in ${{ steps.files.outputs.all }}; do
+          if [[ $file == *.ipynb ]]; then
+            filename=$(basename $file)
+
+            pyfilename=$(echo ${filename%?????})py
+            timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert --execute $file --to python --output $pyfilename --output-dir=$(dirname $file)
+
+            htmlfilename=$(echo ${filename%?????} | sed -e 's/-//g')html
+            htmldir="docs/source"/$(echo ${file%?????} | sed -e 's/-//g')html 
+            timeout --signal=SIGKILL $TUTORIAL_TIMEOUT python -Xfrozen_modules=off -m jupyter nbconvert --execute $file --to html --output $htmlfilename --output-dir=$htmldir
+          fi
+        done
+        set +x
+        
+    - name: Run formatter
+      run: black tutorials/
+    
+    - uses: benjlevesque/[email protected]
+      id: short-sha
+
+    - name: Remove unwanted files
+      run: |
+        rm -rf build/
+
+    - name: Create Pull Request
+      uses: peter-evans/[email protected]
+      with:
+        labels: maintenance
+        title: Export tutorial changed in ${{ steps.short-sha.outputs.sha }}
+        branch: export-tutorial-${{ steps.short-sha.outputs.sha }}
+        commit-message: export tutorials changed in ${{ steps.short-sha.outputs.sha }}
+        delete-branch: true

.gitignore

@@ -139,3 +139,9 @@ cython_debug/
 
 # Lightning logs dir
 **lightning_logs
+
+# Tutorial logs dir
+**tutorial_logs
+
+# tmp dir
+**tmp*

pina/problem/zoo/supervised_problem.py

@@ -2,7 +2,7 @@
 
 from ..abstract_problem import AbstractProblem
 from ... import Condition
-from ... import Graph
+from ... import LabelTensor
 
 
 class SupervisedProblem(AbstractProblem):
@@ -22,16 +22,22 @@ class SupervisedProblem(AbstractProblem):
 
     conditions = {}
     output_variables = None
+    input_variables = None
 
-    def __init__(self, input_, output_):
+    def __init__(
+        self, input_, output_, input_variables=None, output_variables=None
+    ):
         """
         Initialize the SupervisedProblem class.
 
         :param input_: Input data of the problem.
+        :type input_: torch.Tensor | LabelTensor | Graph | Data
         :param output_: Output data of the problem.
-        :type output_: torch.Tensor | Graph
+        :type output_: torch.Tensor | LabelTensor | Graph | Data
         """
-        if isinstance(input_, Graph):
-            input_ = input_.data
+        # Set input and output variables
+        self.input_variables = input_variables
+        self.output_variables = output_variables
+        # Set the condition
         self.conditions["data"] = Condition(input=input_, target=output_)
         super().__init__()

pina/trainer.py

@@ -127,9 +127,6 @@ def __init__(
 
         # logging
         self.logging_kwargs = {
-            "logger": bool(
-                kwargs["logger"] is not None or kwargs["logger"] is True
-            ),
             "sync_dist": bool(
                 len(self._accelerator_connector._parallel_devices) > 1
             ),

pyproject.toml

@@ -22,7 +22,7 @@ dependencies = [
 requires-python = ">=3.8"
 
 [project.optional-dependencies]
-docs = [
+doc = [
     "sphinx>5.0",
     "sphinx_rtd_theme",
     "sphinx_copybutton",
@@ -37,8 +37,13 @@ test = [
 dev = [
     "black @ git+https://github.com/psf/black"
 ]
-tutorials = [
+tutorial = [
+    "jupyter",
     "smithers @ git+https://github.com/mathLab/smithers.git",
+    "torchvision",
+    "tensorboard",
+    "scipy",
+    "numpy",
 ]
 
 [project.urls]

tutorials/README.md

@@ -33,3 +33,4 @@ Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator
 |---------------|-----------|
 Unstructured convolutional autoencoder via continuous convolution |[[.ipynb](tutorial4/tutorial.ipynb), [.py](tutorial4/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial4/tutorial.html)]|
 POD-RBF and POD-NN for reduced order modeling| [[.ipynb](tutorial8/tutorial.ipynb), [.py](tutorial8/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial8/tutorial.html)]|
+POD-RBF for modelling Lid Cavity| [[.ipynb](tutorial14/tutorial.ipynb), [.py](tutorial14/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial14/tutorial.html)]|