[MRG] Debug linux tests (segmentation fault with torch 2.12 on test and/or doc build)

.github/workflows/build_tests.yml

@@ -83,6 +83,9 @@ jobs:
         python -m pip install --upgrade pip setuptools
         pip install -r requirements_all.txt
         pip install pytest pytest-cov
+    - name: test POT import
+      run: |
+        python -c "import ot; print(ot.__version__)"
     - name: Run tests
       run: |
         python -m pytest --durations=20 -v test/ ot/ --doctest-modules --color=yes --cov=./ --cov-report=xml

RELEASES.md

@@ -29,7 +29,7 @@ This new release adds support for sparse cost matrices and a new lazy EMD solver
 - Fix test of the version of jax in `ot.backend` (PR #794)
 - Reverting the openmp fix on macOS (PR #789) for macOS (PR #797)
 - Align documentation build dependencies and doc extras (PR #801)
-
+- Debug Debug linux test core dump (PR #815)
 
 ## 0.9.6.post1
 

ot/gnn/__init__.py

@@ -17,9 +17,9 @@
 # All submodules and packages
 
 from ._utils import FGW_distance_to_templates, wasserstein_distance_to_templates
-
 from ._layers import TFGWPooling, TWPooling
 
+
 __all__ = [
     "FGW_distance_to_templates",
     "wasserstein_distance_to_templates",

ot/gnn/_utils.py

@@ -12,7 +12,15 @@
 from ..utils import dist
 from ..gromov import fused_gromov_wasserstein2
 from ..lp import emd2
-from torch_geometric.utils import subgraph
+import warnings
+
+try:
+    from torch_geometric.utils import subgraph
+except ImportError:
+    warnings.warn(
+        "torch_geometric is not installed. The ot.gnn module requires torch_geometric to be installed."
+    )
+    pass
 
 
 def TFGW_template_initialization(

requirements_all.txt

@@ -5,7 +5,7 @@ autograd
 pymanopt @ git+https://github.com/pymanopt/pymanopt.git@master
 cvxopt
 scikit-learn
-torch
+torch<=2.11
 jax
 jaxlib
 tensorflow

setup.py

@@ -116,6 +116,7 @@
             "networkx",
             "memory_profiler",
         ],
+        "tests": ["pytest", "pytest-cov"],
         "all": [
             "jax",
             "jaxlib",