更换文档检测模型

paddle_detection/ppdet/optimizer/utils.py

@@ -0,0 +1,37 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# 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 absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import paddle
+import paddle.nn as nn
+
+from typing import List
+
+
+def get_bn_running_state_names(model: nn.Layer) -> List[str]:
+    """Get all bn state full names including running mean and variance
+    """
+    names = []
+    for n, m in model.named_sublayers():
+        if isinstance(m, (nn.BatchNorm2D, nn.SyncBatchNorm)):
+            assert hasattr(m, '_mean'), f'assert {m} has _mean'
+            assert hasattr(m, '_variance'), f'assert {m} has _variance'
+            running_mean = f'{n}._mean'
+            running_var = f'{n}._variance'
+            names.extend([running_mean, running_var])
+
+    return names