diff --git a/python/paddle/amp/amp_lists.py b/python/paddle/amp/amp_lists.py
index 3aefd298340a53..7d014b1bf14f92 100644
--- a/python/paddle/amp/amp_lists.py
+++ b/python/paddle/amp/amp_lists.py
@@ -12,22 +12,28 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-# The set of ops that support fp16 calculation and are considered numerically-
-# safe and performance-critical. These ops are always converted to fp16.
-FP16_WHITE_LIST = {
+# The set of ops that support fp16 and bf16 calculation and are considered numerically-
+# safe and performance-critical. These ops are always converted to fp16 or bf16.
+WHITE_LIST = {
     'conv2d',
     'einsum',
     'matmul',
     'matmul_v2',
     'max_pool2d_with_index',
     'mul',
+    'fused_gemm_epilogue',
+}
+
+# The set of ops that support fp16, and bf16 was unsupported.
+ONLY_FP16_WHITE_LIST = {
     'fake_quantize_dequantize_abs_max',
     'fake_quantize_dequantize_moving_average_abs_max',
-    'fused_gemm_epilogue',
     'fused_attention',
     'fused_feedforward',
 }
 
+FP16_WHITE_LIST = WHITE_LIST | ONLY_FP16_WHITE_LIST
+
 # The set of ops that support fp16 calculation and are considered numerically-
 # dangerous and whose effects may also be observed in downstream ops.
 FP16_BLACK_LIST = {
@@ -90,8 +96,8 @@
     'scatter',
 }
 
-BF16_WHITE_LIST = {'conv2d', 'einsum', 'matmul_v2'}
-BF16_BLACK_LIST = set()
+BF16_WHITE_LIST = WHITE_LIST
+BF16_BLACK_LIST = FP16_BLACK_LIST
 
 
 # At OD level, ops in WHITE_LIST will use FP16/BF16 and the others will use FP32.
diff --git a/python/paddle/static/amp/bf16/amp_lists.py b/python/paddle/static/amp/bf16/amp_lists.py
index 5ea5beb708b894..cd4d6bdb329b40 100644
--- a/python/paddle/static/amp/bf16/amp_lists.py
+++ b/python/paddle/static/amp/bf16/amp_lists.py
@@ -14,6 +14,7 @@
 
 import copy
 
+from paddle.amp.amp_lists import BF16_WHITE_LIST
 from paddle.fluid import core
 
 from ..fp16_lists import black_list as black_list_fp16
@@ -86,33 +87,10 @@ def _update_list(self):
 bf16_initializer_list = {'fill_constant', 'uniform_random'}
 
 # always bf16
-bf16_list = {
-    'conv2d',
-    'matmul',
-    'matmul_v2',
-    'mul',
-}
+bf16_list = BF16_WHITE_LIST
 
 # depends on the prev_op type
-gray_list = {
-    'elementwise_add',
-    'elementwise_sub',
-    'elementwise_mul',
-    'elementwise_div',
-    'relu',
-    'layer_norm',
-    'slice',
-    'concat',
-    'uniform_random',
-    'reshape2',
-    'transpose2',
-    'pool2d',
-    'sigmoid',
-    'cast',
-    'scale',
-    'fill_constant',
-    'split',
-}
+gray_list = gray_list_fp16
 
 _, _, _sys_unsupported_bf16_list = core.op_supported_infos(
     'CPU', core.VarDesc.VarType.BF16
diff --git a/test/contrib/test_bf16_utils.py b/test/contrib/test_bf16_utils.py
index c44e5a4a97481c..75ce0045b39abf 100644
--- a/test/contrib/test_bf16_utils.py
+++ b/test/contrib/test_bf16_utils.py
@@ -46,10 +46,10 @@ def test_amp_lists_1(self):
 
     def test_amp_lists_2(self):
         # 2. w={'tanh'}, b=None
-        self.fp32_list.remove('tanh')
-        self.bf16_list.add('tanh')
+        self.fp32_list.remove('tan')
+        self.bf16_list.add('tan')
 
-        self.amp_lists_ = amp.bf16.AutoMixedPrecisionListsBF16({'tanh'})
+        self.amp_lists_ = amp.bf16.AutoMixedPrecisionListsBF16({'tan'})
 
     def test_amp_lists_3(self):
         # 3. w={'lstm'}, b=None