Update test_nacl_loss.py

Introduce temporary value for same cases to reduce space. 

DCO Remediation Commit for bala93 <balamuralim.1993@gmail.com>

I, bala93 <balamuralim.1993@gmail.com>, hereby add my Signed-off-by to this commit: 8fbec82
I, bala93 <balamuralim.1993@gmail.com>, hereby add my Signed-off-by to this commit: 7c121a0
I, bala93 <balamuralim.1993@gmail.com>, hereby add my Signed-off-by to this commit: dccde47

Signed-off-by: bala93 <balamuralim.1993@gmail.com>

Author: Bala93

tests/test_nacl_loss.py

@@ -19,11 +19,7 @@
 
 from monai.losses import NACLLoss
 
-TEST_CASES = [
-    [
-        {"classes": 3, "dim": 2},
-        {
-            "inputs": torch.tensor(
+inputs = torch.tensor(
                 [
                     [
                         [
@@ -46,39 +42,23 @@
                         ],
                     ]
                 ]
-            ),
-            "targets": torch.tensor([[[1, 1, 1, 1], [1, 1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0]]]),
+            )
+targets = torch.tensor([[[1, 1, 1, 1], [1, 1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0]]]),
+
+TEST_CASES = [
+    [
+        {"classes": 3, "dim": 2},
+        {
+            "inputs": inputs,
+            "targets": targets,
         },
         1.1820,
     ],
     [
         {"classes": 3, "dim": 2, "kernel_ops": "gaussian"},
         {
-            "inputs": torch.tensor(
-                [
-                    [
-                        [
-                            [0.1498, 0.1158, 0.3996, 0.3730],
-                            [0.2155, 0.1585, 0.8541, 0.8579],
-                            [0.6640, 0.2424, 0.0774, 0.0324],
-                            [0.0580, 0.2180, 0.3447, 0.8722],
-                        ],
-                        [
-                            [0.3908, 0.9366, 0.1779, 0.1003],
-                            [0.9630, 0.6118, 0.4405, 0.7916],
-                            [0.5782, 0.9515, 0.4088, 0.3946],
-                            [0.7860, 0.3910, 0.0324, 0.9568],
-                        ],
-                        [
-                            [0.0759, 0.0238, 0.5570, 0.1691],
-                            [0.2703, 0.7722, 0.1611, 0.6431],
-                            [0.8051, 0.6596, 0.4121, 0.1125],
-                            [0.5283, 0.6746, 0.5528, 0.7913],
-                        ],
-                    ]
-                ]
-            ),
-            "targets": torch.tensor([[[1, 1, 1, 1], [1, 1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0]]]),
+            "inputs": inputs,
+            "targets": targets,
         },
         1.1850,
     ],