fix: catch all exceptions when importing cupy, not just ImportError

An installed-but-broken cupy (e.g. incompatible with NumPy 2.5, which
removed the 'bool8' alias) raises a TypeError during its own import, not
an ImportError. The narrow `except ImportError` guard let that propagate
and crashed the entire node import chain.

Broaden the guard to `except Exception` in all three CUDA-kernel modules
so any import-time failure disables cupy and falls back to the
pure-PyTorch implementations.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

bim_vfi_arch/costvol.py

@@ -15,8 +15,11 @@ def _ensure_cupy():
         try:
             import cupy as _cupy
             cupy = _cupy
-        except ImportError:
+        except Exception:
-            pass  # cupy unavailable; PyTorch fallback will be used
+            # Broad catch: an installed-but-broken cupy (e.g. incompatible
+            # NumPy) raises non-ImportError exceptions at import time. Treat any
+            # failure as "cupy unavailable"; the PyTorch fallback will be used.
+            pass
 
 
 ##########################################################

gimm_vfi_arch/generalizable_INR/modules/softsplat.py

@@ -11,7 +11,10 @@
 import collections
 try:
     import cupy
-except ImportError:
+except Exception:
+    # Broad catch: an installed-but-broken cupy (e.g. incompatible NumPy)
+    # raises non-ImportError exceptions at import time. Treat any failure as
+    # "cupy unavailable" and fall back to the pure-PyTorch implementation.
     cupy = None
 import os
 import re

sgm_vfi_arch/softsplat.py

@@ -3,7 +3,10 @@
 import collections
 try:
     import cupy
-except ImportError:
+except Exception:
+    # Broad catch: an installed-but-broken cupy (e.g. incompatible NumPy)
+    # raises non-ImportError exceptions at import time. Treat any failure as
+    # "cupy unavailable" and fall back to the pure-PyTorch implementation.
     cupy = None
 import os
 import re