Fix Frontend Failing Test: torch - linalg.torch.linalg.norm (#28106)

Co-authored-by: NripeshN <86844847+NripeshN@users.noreply.github.com>

ivy/functional/frontends/torch/linalg.py

@@ -215,10 +215,14 @@ def norm(input, ord=None, dim=None, keepdim=False, *, dtype=None, out=None):
     elif dim is None and ord is None:
         input = ivy.flatten(input)
         ret = ivy.vector_norm(input, axis=0, keepdims=keepdim, ord=2)
-    if isinstance(dim, int):
+    elif isinstance(dim, int):
         ret = ivy.vector_norm(input, axis=dim, keepdims=keepdim, ord=ord)
-    elif isinstance(dim, tuple):
+    elif isinstance(dim, tuple) and len(dim) <= 2:
         ret = ivy.matrix_norm(input, axis=dim, keepdims=keepdim, ord=ord)
+    elif isinstance(dim, tuple) and len(dim) > 2:
+        raise RuntimeError(
+            f"linalg.norm: If dim is specified, it must be of length 1 or 2. Got {dim}"
+        )
     return ret
 
 

ivy_tests/test_ivy/test_frontends/test_torch/test_linalg.py

@@ -68,7 +68,7 @@ def _get_axis_and_p(draw):
         min_axes_size = 2
     else:
         min_axes_size = 1
-        max_axes_size = 5
+        max_axes_size = 2
     x_dtype, values, axis = draw(
         helpers.dtype_values_axis(
             available_dtypes=helpers.get_dtypes("valid"),