Add missing -inf order for linalg.norm OpInfo (#51233)

Summary:
Follow up to https://github.com/pytorch/pytorch/issues/50746

I accidentally missed the `ord=-inf` case in the OpInfo for `torch.linalg.norm` when I wrote it.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/51233

Reviewed By: malfet

Differential Revision: D26117160

Pulled By: anjali411

fbshipit-source-id: af921c1d8004783612b3a477ae2025a82860ff4e
diff --git a/torch/testing/_internal/common_methods_invocations.py b/torch/testing/_internal/common_methods_invocations.py
index 324a934..09f9ea2 100644
--- a/torch/testing/_internal/common_methods_invocations.py
+++ b/torch/testing/_internal/common_methods_invocations.py
@@ -351,7 +351,7 @@
         (0, 0, 0),
     ]
 
-    vector_ords = (None, 0, 0.5, 1, 2, 3.5, inf, -0.5, -1, -2, -3.5)
+    vector_ords = (None, 0, 0.5, 1, 2, 3.5, inf, -0.5, -1, -2, -3.5, -inf)
     matrix_ords = (None, 'fro', 'nuc', 1, 2, inf, -1, -2, -inf)
 
     inputs = []
@@ -379,7 +379,7 @@
                 # TODO: remove this check when `max` is implemented for
                 #       float16 and bfloat16. Issue:
                 #       https://github.com/pytorch/pytorch/issues/50790
-                if is_vector_norm and is_dtype_half and ord == inf:
+                if is_vector_norm and is_dtype_half and ord in [inf, -inf]:
                     continue
 
                 inputs.append(SampleInput(