Fix pytorch versions CI failures

.github/workflows/pytorch-version-tests.yml

@@ -17,13 +17,8 @@ jobs:
       matrix:
         python-version: [3.8, 3.9, "3.10"]
         pytorch-version:
-          [2.3.1, 2.2.2, 2.1.2, 2.0.1, 1.13.1, 1.12.1, 1.10.0, 1.8.1, 1.5.1]
+          [2.3.1, 2.2.2, 2.1.2, 2.0.1, 1.13.1, 1.12.1, 1.10.0, 1.8.1]
         exclude:
-          - pytorch-version: 1.5.1
-            python-version: 3.9
-          - pytorch-version: 1.5.1
-            python-version: "3.10"
-
           # disabling python 3.9 support with PyTorch 1.7.1 and 1.8.1, to stop repeated pytorch-version test fail.
           # https://github.com/pytorch/ignite/issues/2383
           - pytorch-version: 1.8.1
@@ -72,6 +67,13 @@ jobs:
         shell: bash -l {0}
         run: |
           conda install pytorch=${{ matrix.pytorch-version }} torchvision cpuonly python=${{ matrix.python-version }} -c pytorch
+          
+          # We should install numpy<2.0 for pytorch<2.3
+          numpy_one_pth_version=$(python -c "import torch; print(float('.'.join(torch.__version__.split('.')[:2])) < 2.3)")
+          if [ "${numpy_one_pth_version}" == "True" ]; then
+            pip install -U "numpy<2.0"
+          fi
+
           pip install -r requirements-dev.txt
           python setup.py install
 

ignite/metrics/hsic.py

@@ -134,6 +134,7 @@ def update(self, output: Sequence[Tensor]) -> None:
 
         vx: Union[Tensor, float]
         if self.sigma_x < 0:
+            # vx = torch.quantile(dxx, 0.5)
             vx = torch.quantile(dxx, 0.5)
         else:
             vx = self.sigma_x**2