update: test_bf16_gradient

Author: kozistr

tests/test_gradients.py

@@ -113,7 +113,7 @@ def test_sparse_supported(sparse_optimizer):
 
 @pytest.mark.parametrize('optimizer_name', VALID_OPTIMIZER_NAMES)
 def test_bf16_gradient(optimizer_name):
-    if optimizer_name in ('shampoo', 'lomo', 'bsam'):
+    if optimizer_name in ('shampoo', 'lomo', 'bsam', 'adammini'):
         pytest.skip(f'skip {optimizer_name}')
 
     param = torch.randn(1, 1).bfloat16().requires_grad_(True)