increase testing tolerence

f4str · f4str · commit 2b79aa98be8c · 2024-02-13T13:34:12.000-08:00
Signed-off-by: Farhan Ahmed &lt;Farhan.Ahmed@ibm.com&gt;
diff --git a/tests/estimators/object_detection/test_pytorch_detection_transformer.py b/tests/estimators/object_detection/test_pytorch_detection_transformer.py
@@ -125,7 +125,7 @@ def test_loss_gradient(art_warning, get_pytorch_detr):
                 -0.00526983,
             ]
         )
-        np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=1)
+        np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=2)
 
         expected_gradients2 = np.asarray(
             [
@@ -163,7 +163,7 @@ def test_loss_gradient(art_warning, get_pytorch_detr):
                 0.00305779,
             ]
         )
-        np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=1)
+        np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=2)
 
     except ARTTestException as e:
         art_warning(e)
diff --git a/tests/estimators/object_detection/test_pytorch_yolo.py b/tests/estimators/object_detection/test_pytorch_yolo.py
@@ -119,7 +119,7 @@ def test_loss_gradient(art_warning, get_pytorch_yolo):
                 0.00232432,
             ]
         )
-        np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=1)
+        np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=2)
 
         expected_gradients2 = np.asarray(
             [
@@ -157,7 +157,7 @@ def test_loss_gradient(art_warning, get_pytorch_yolo):
                 0.00860081,
             ]
         )
-        np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=1)
+        np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=2)
 
     except ARTTestException as e:
         art_warning(e)

Original file line number	Diff line number	Diff line change
`@@ -125,7 +125,7 @@ def test_loss_gradient(art_warning, get_pytorch_detr):`
`125`	`125`	`-0.00526983,`
`126`	`126`	`]`
`127`	`127`	`)`
`128`		`- np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=1)`
	`128`	`+ np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=2)`
`129`	`129`
`130`	`130`	`expected_gradients2 = np.asarray(`
`131`	`131`	`[`
`@@ -163,7 +163,7 @@ def test_loss_gradient(art_warning, get_pytorch_detr):`
`163`	`163`	`0.00305779,`
`164`	`164`	`]`
`165`	`165`	`)`
`166`		`- np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=1)`
	`166`	`+ np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=2)`
`167`	`167`
`168`	`168`	`except ARTTestException as e:`
`169`	`169`	`art_warning(e)`
Original file line number	Diff line number	Diff line change
`@@ -119,7 +119,7 @@ def test_loss_gradient(art_warning, get_pytorch_yolo):`
`119`	`119`	`0.00232432,`
`120`	`120`	`]`
`121`	`121`	`)`
`122`		`- np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=1)`
	`122`	`+ np.testing.assert_array_almost_equal(grads[0, 0, 208, 192:224], expected_gradients1, decimal=2)`
`123`	`123`
`124`	`124`	`expected_gradients2 = np.asarray(`
`125`	`125`	`[`
`@@ -157,7 +157,7 @@ def test_loss_gradient(art_warning, get_pytorch_yolo):`
`157`	`157`	`0.00860081,`
`158`	`158`	`]`
`159`	`159`	`)`
`160`		`- np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=1)`
	`160`	`+ np.testing.assert_array_almost_equal(grads[0, 0, 192:224, 208], expected_gradients2, decimal=2)`
`161`	`161`
`162`	`162`	`except ARTTestException as e:`
`163`	`163`	`art_warning(e)`