diff --git a/tests/helpers.py b/tests/helpers.py
index 31147262..d34ad41e 100644
--- a/tests/helpers.py
+++ b/tests/helpers.py
@@ -174,8 +174,8 @@ def assert_all_close(
         from torch.testing._comparison import get_tolerances
 
         rtol, atol = get_tolerances(actual, expected, rtol=rtol, atol=atol)
-        rtol *= 10 * NUM_UPDATES
-        atol *= 10 * NUM_UPDATES
+        rtol *= 4 * NUM_UPDATES
+        atol *= 4 * NUM_UPDATES
 
     torch.testing.assert_close(
         actual,
diff --git a/tests/test_alias.py b/tests/test_alias.py
index b75202a5..4a0b8473 100644
--- a/tests/test_alias.py
+++ b/tests/test_alias.py
@@ -88,7 +88,7 @@ def test_sgd(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -146,7 +146,7 @@ def test_adam(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -206,7 +206,7 @@ def test_adam_accelerated_cpu(
 
 @pytest.mark.skipif(not torch.cuda.is_available(), reason='No CUDA device available.')
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -267,7 +267,7 @@ def test_adam_accelerated_cuda(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     alpha=[0.9, 0.99],
     eps=[1e-8],
diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py
index 34063a70..b2a99152 100644
--- a/tests/test_optimizer.py
+++ b/tests/test_optimizer.py
@@ -84,7 +84,7 @@ def test_SGD(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -139,7 +139,7 @@ def test_Adam(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -196,7 +196,7 @@ def test_Adam_accelerated_cpu(
 
 @pytest.mark.skipif(not torch.cuda.is_available(), reason='No CUDA device available.')
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     betas=[(0.9, 0.999), (0.95, 0.9995)],
     eps=[1e-8],
@@ -254,7 +254,7 @@ def test_Adam_accelerated_cuda(
 
 
 @helpers.parametrize(
-    dtype=[torch.float64, torch.float32],
+    dtype=[torch.float64],
     lr=[1e-2, 1e-3, 1e-4],
     alpha=[0.9, 0.99],
     eps=[1e-8],