tests

.github/workflows/test.yml

@@ -3,35 +3,26 @@ name: Python Package using Conda
 on: [push, pull_request, workflow_dispatch]
 
 jobs:
-  build-linux:
+  build:
     runs-on: ubuntu-latest
+
     strategy:
-      max-parallel: 5
-
+      matrix:
+        python-version: [3.7]
+
     steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python 3.10
-      uses: actions/setup-python@v3
-      with:
-        python-version: '3.10'
-    - name: Add conda to system path
-      run: |
-        # $CONDA is an environment variable pointing to the root of the miniconda directory
-        echo $CONDA/bin >> $GITHUB_PATH
-    - name: Install dependencies
-      run: |
-        conda env update --file environment.yml --name base
-    - name: Lint with flake8
-      run: |
-        conda install flake8
-        # stop the build if there are Python syntax errors or undefined names
-        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    - name: Test with pytest
-      run: |
-        conda install pytest
-        pytest
-    - name: Testing
-      run: |
-        PYTHONPATH=tests/test_simple.py
+      - name: Set up Python
+        uses: actions/setup-python@v1
+        with:
+          python-version: 3.7
+
+      - name: Checkout 🛎️
+        uses: actions/checkout@v2
+
+      - name: Install Dependencies
+        run: |
+          pip install torch
+          ls ./
+      - name: Testing
+        run: |
+          PYTHONPATH=tests/test_simple.py

tests/test_simple.py

@@ -0,0 +1,26 @@
+import sys, os
+import torch
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'src')))
+from relaxit.distributions import (
+    HardConcrete, 
+    GaussianRelaxedBernoulli
+)
+
+def test_rsample():
+    # a = torch.tensor([0.2, 0.4, 0.3, 0.1], requires_grad=True)
+    loc = torch.tensor([0.], requires_grad=True)
+    scale = torch.tensor([1.], requires_grad=True)
+    alpha = torch.tensor([1.], requires_grad=True)
+    beta = torch.tensor([2.], requires_grad=True)
+    gamma = torch.tensor([-3.], requires_grad=True)
+    xi = torch.tensor([4.], requires_grad=True)
+
+    distr_2 = GaussianRelaxedBernoulli(loc = loc, scale=scale)
+    samples_2 = distr_2.rsample(sample_shape = torch.Size([3]))
+    assert samples_2.shape == torch.Size([3, 1])
+    assert samples_2.requires_grad == True
+    distr_3 = HardConcrete(alpha=alpha, beta=beta, gamma=gamma, xi=xi)
+    samples_3 = distr_3.rsample(sample_shape = torch.Size([3]))
+    assert samples_3.shape == torch.Size([3, 1])
+    assert samples_3.requires_grad == True
+    print("rsample is OK")