chore: import upstream snapshot with attribution

python/paddle/decomposition/register.py

@@ -0,0 +1,74 @@
+# 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.
+import inspect
+
+
+class Registry:
+    """A general registry object."""
+
+    __slots__ = ['name', 'rules']
+
+    def __init__(self, name):
+        self.name = name
+        self.rules = {}
+
+    def register(self, op_type, rule):
+        assert isinstance(op_type, str)
+        assert inspect.isfunction(rule)
+        assert op_type not in self.rules, (
+            f'name "{op_type}" should not be registered before.'
+        )
+        self.rules[op_type] = rule
+
+    def lookup(self, op_type):
+        return self.rules.get(op_type)
+
+
+_decomposition_ops = Registry('decomposition')
+
+
+def register_decomp(op_type):
+    """
+    Decorator for registering the lower function for an original op into sequence of primitive ops.
+
+    Args:
+        op_type(str): The op name
+
+    Returns:
+        wrapper: Inner wrapper function
+
+    Examples:
+        .. code-block:: pycon
+
+            >>> from paddle.decomposition import register
+            >>> @register.register_decomp('softmax')
+            >>> def softmax(x, axis):
+            ...     molecular = exp(x)
+            ...     denominator = broadcast_to(sum(molecular, axis=axis, keepdim=True), x.shape)
+            ...     res = divide(molecular, denominator)
+            ...     return res
+    """
+    if not isinstance(op_type, str):
+        raise TypeError(f'op_type must be str, but got {type(op_type)}.')
+
+    def wrapper(f):
+        _decomposition_ops.register(op_type, f)
+        return f
+
+    return wrapper
+
+
+def get_decomp_rule(op_type):
+    _lowerrule = _decomposition_ops.lookup(op_type)
+    return _lowerrule