[ScaledMM] Fix NaNs in test for garbage input data (pytorch#144042)

Pull Request resolved: pytorch#144042
Approved by: https://github.com/janeyx99

Author: drisspg

test/test_matmul_cuda.py

@@ -441,6 +441,9 @@ def test_scaled_mm_change_stride(self, base_dtype):
         x = torch.empty_strided((16, 16), (16, 1), device="cuda", dtype=base_dtype)
         y = torch.empty_strided((16, 32), (1, 64), device="cuda", dtype=base_dtype)
 
+        x.normal_()
+        y.normal_()
+
         x_scale = tensor_to_scale(x, input_dtype).float()
         y_scale = tensor_to_scale(y, input_dtype).float()