chore: import upstream snapshot with attribution

test/sot/test_force_dynamic.py

@@ -0,0 +1,77 @@
+# Copyright (c) 2025 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 unittest
+
+from test_case_base import (
+    TestCaseBase,
+    test_instruction_translator_cache_context,
+)
+
+import paddle
+from paddle.jit import sot
+
+
+class EmbeddingLayer(paddle.nn.Layer):
+    def __init__(self):
+        super().__init__()
+        self.embedding = paddle.nn.Embedding(10, 10)
+
+    def forward(self, x):
+        x = x + 1 - 1
+        x = self.embedding(x)
+        return x + 1
+
+
+def call_embedding_layer(x: paddle.Tensor, layer: paddle.nn.Layer):
+    return layer(x)
+
+
+def call_functional_embedding(x: paddle.Tensor, weight: paddle.Tensor):
+    x = x + 1 - 1
+    x = paddle.nn.functional.embedding(x, weight)
+    return x + 1
+
+
+class TestForceDynamic(TestCaseBase):
+    def test_embedding_layer(self):
+        paddle.jit.marker.force_dynamic(paddle.nn.Embedding)
+
+        layer = EmbeddingLayer()
+        with test_instruction_translator_cache_context() as ctx:
+            self.assertEqual(ctx.translate_count, 0)
+            self.assert_results(
+                call_embedding_layer,
+                paddle.randint(0, 10, [1, 3, 224, 224], dtype='int64'),
+                layer,
+            )
+            self.assertGreater(ctx.translate_count, 1)
+
+        sot.utils.paddle_api_config.break_graph_layer_classes.clear()
+
+    def test_functional_embedding(self):
+        paddle.jit.marker.force_dynamic(paddle.nn.functional.embedding)
+
+        weight = paddle.randn([10, 10])
+        x = paddle.randint(0, 10, [1, 3, 224, 224], dtype='int64')
+        with test_instruction_translator_cache_context() as ctx:
+            self.assertEqual(ctx.translate_count, 0)
+            self.assert_results(call_functional_embedding, x, weight)
+            self.assertGreater(ctx.translate_count, 1)
+
+        sot.utils.paddle_api_config.break_graph_functions.clear()
+
+
+if __name__ == "__main__":
+    unittest.main()