[Typing][B-33,B-37] Add type annotations for `python/paddle/amp/{amp_…

…lists,__init__}.py` (PaddlePaddle#65633)

python/paddle/amp/__init__.py

@@ -11,6 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from __future__ import annotations
 
 from paddle.base import core
 from paddle.base.framework import (
@@ -48,7 +49,7 @@
 ]
 
 
-def is_float16_supported(device=None):
+def is_float16_supported(device: str | None = None) -> bool:
     """
     Determine whether the place supports float16 in the auto-mixed-precision training.
 
@@ -75,7 +76,7 @@ def is_float16_supported(device=None):
     return core.is_float16_supported(device)
 
 
-def is_bfloat16_supported(device=None):
+def is_bfloat16_supported(device: str | None = None) -> bool:
     """
     Determine whether the place supports bfloat16 in the auto-mixed-precision training.
 

python/paddle/amp/amp_lists.py

@@ -14,6 +14,9 @@
 
 # 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.
+
+from __future__ import annotations
+
 WHITE_LIST = {
     'conv2d',
     'einsum',
@@ -102,7 +105,7 @@
 
 
 # At OD level, ops in WHITE_LIST will use FP16/BF16 and the others will use FP32.
-def white_list():
+def white_list() -> dict[str, dict[str, set[str]]]:
     white_list = {
         "float16": {
             "OD": FP16_WHITE_LIST,
@@ -118,7 +121,7 @@ def white_list():
     return white_list
 
 
-def black_list():
+def black_list() -> dict[str, dict[str, set[str]]]:
     black_list = {
         "float16": {
             "OD": set(),