chore: import upstream snapshot with attribution

python/paddle/decomposition/rules.py

@@ -0,0 +1,34 @@
+# 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 .primitives import *  # noqa: F403
+from .register import register_decomp
+
+
+# TODO(kevincheng2): python implementation of prim feature,
+# now it has been sunk to c++, waiting for further deletion.
+@register_decomp('pd_op.unsqueeze')
+def unsqueeze(x, axis):
+    """define composite rule of op unsqueeze"""
+    """using reshape to implement unsqueeze op"""
+    axis = axis.get_defining_op().attrs()["value"]
+    x_shape = list(x.shape)
+    axis_list = list(axis)
+    for i in axis_list:
+        if i < 0:
+            i += len(x_shape) + 1
+        x_shape = [*x_shape[:i], 1, *x_shape[i:]]
+    out = reshape(x, x_shape)
+    return [out, None]