diff --git a/tests/beignet/test__apply_rotation_matrix.py b/tests/beignet/test__apply_rotation_matrix.py
index 9336bd6c8f..7f7f38477a 100644
--- a/tests/beignet/test__apply_rotation_matrix.py
+++ b/tests/beignet/test__apply_rotation_matrix.py
@@ -8,7 +8,7 @@
 
 @hypothesis.strategies.composite
 def _strategy(function):
-    batch_size = function(
+    size = function(
         hypothesis.strategies.integers(
             min_value=1,
             max_value=8,
@@ -18,27 +18,35 @@ def _strategy(function):
     input = function(
         hypothesis.extra.numpy.arrays(
             numpy.float64,
-            (batch_size, 3),
+            (size, 3),
             elements={
                 "allow_infinity": False,
-                "allow_nan": False,
-                "min_value": -1e3,
-                "max_value": +1e3,
+                "min_value": numpy.finfo(numpy.float32).min,
+                "max_value": numpy.finfo(numpy.float32).max,
             },
         ),
     )
 
-    rotation = Rotation.random(batch_size)
+    rotation = Rotation.random(size)
 
     inverse = function(hypothesis.strategies.booleans())
 
     return (
         {
-            "input": torch.from_numpy(input),
-            "rotation": torch.from_numpy(rotation.as_matrix()),
+            "input": torch.from_numpy(
+                input,
+            ),
+            "rotation": torch.from_numpy(
+                rotation.as_matrix(),
+            ),
             "inverse": inverse,
         },
-        torch.from_numpy(rotation.apply(input, inverse)),
+        torch.from_numpy(
+            rotation.apply(
+                input,
+                inverse,
+            ),
+        ),
     )
 
 
@@ -47,6 +55,11 @@ def test_apply_rotation_matrix(data):
     parameters, expected = data
 
     torch.testing.assert_close(
-        beignet.apply_rotation_matrix(**parameters),
+        beignet.apply_rotation_matrix(
+            **parameters,
+        ),
         expected,
+        equal_nan=True,
+        atol=1e-06,
+        rtol=1e-06,
     )