chore: import upstream snapshot with attribution

python/paddle/nn/initializer/__init__.py

@@ -0,0 +1,68 @@
+#   Copyright (c) 2020 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 ...base.initializer import set_global_initializer
+from .assign import (
+    Assign,
+    NumpyArrayInitializer,  # noqa: F401
+)
+from .bilinear import Bilinear
+from .constant import (
+    Constant,
+    ConstantInitializer,  # noqa: F401
+)
+from .dirac import Dirac
+from .initializer import (
+    Initializer,  # noqa: F401
+    calculate_gain,
+)
+from .kaiming import (
+    KaimingNormal,
+    KaimingUniform,
+    MSRAInitializer,  # noqa: F401
+)
+from .normal import (
+    Normal,
+    NormalInitializer,  # noqa: F401
+    TruncatedNormal,
+    TruncatedNormalInitializer,  # noqa: F401
+)
+from .orthogonal import Orthogonal
+from .uniform import (
+    Uniform,
+    UniformInitializer,  # noqa: F401
+)
+from .xavier import (
+    XavierInitializer,  # noqa: F401
+    XavierNormal,
+    XavierUniform,
+)
+
+__all__ = [
+    'Bilinear',
+    'Constant',
+    'KaimingUniform',
+    'KaimingNormal',
+    'XavierNormal',
+    'XavierUniform',
+    'Assign',
+    'Normal',
+    'TruncatedNormal',
+    'Uniform',
+    'Orthogonal',
+    'Dirac',
+    'set_global_initializer',
+    'calculate_gain',
+]