Remove debug_info

Author: ValerianRey

src/torchjd/sparse/_aten_function_overrides/shape.py

@@ -124,8 +124,8 @@ def cat_default(tensors: list[Tensor], dim: int) -> Tensor:
     if any(not torch.equal(t.basis, ref_basis) for t in tensors_[1:]):
         raise NotImplementedError(
             "Override for aten.cat.default does not support SLTs that do not all have the same "
-            f"basis. Found the following tensors:\n{[t.debug_info() for t in tensors_]} and the "
-            f"following dim: {dim}."
+            f"basis. Found the following tensors:\n{[repr(t) for t in tensors_]} and the following "
+            f"dim: {dim}."
         )
 
     # We need to try to find the (pretty sure it either does not exist or is unique) physical

src/torchjd/sparse/_sparse_latticed_tensor.py

@@ -105,10 +105,6 @@ def __torch_dispatch__(cls, func, types, args=(), kwargs=None):
     def __repr__(self, *, tensor_contents=None) -> str:
         return f"SparseLatticedTensor(physical={self.physical}, basis={self.basis})"
 
-    def debug_info(self) -> str:
-        info = f"vshape: {self.shape}\n" f"pshape: {self.physical.shape}\n" f"basis: {self.basis}\n"
-        return info
-
     @classmethod
     def implements(cls, torch_function):
         """Register a torch function override for ScalarTensor"""