chore: import upstream snapshot with attribution

test/dygraph_to_static/test_set_dynamic_shape.py

@@ -0,0 +1,56 @@
+#   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.
+
+import unittest
+
+from dygraph_to_static_utils import (
+    Dy2StTestBase,
+    test_ast_only,
+)
+
+import paddle
+
+
+class TestSetDynamicShape(Dy2StTestBase):
+    @test_ast_only
+    def test_start(self):
+        def dygraph_func(loop_number):
+            mask = paddle.randn([2, 2])
+            paddle.jit.api.set_dynamic_shape(mask, [-1, 2])
+            n = paddle.randn([1, 2])
+            for i in range(loop_number):
+                mask = paddle.concat([mask, n], axis=0)
+                if mask.shape[0] == 5:
+                    break
+            return mask
+
+        loop_num = paddle.to_tensor(10)
+        expected_shape = dygraph_func(loop_num).shape
+        actual_shape = paddle.jit.to_static(dygraph_func)(loop_num).shape
+        self.assertEqual(expected_shape, actual_shape)
+
+    @test_ast_only
+    def test_pir_ast(self):
+        def dygraph_func():
+            mask = paddle.randn([2, 2])
+            paddle.jit.api.set_dynamic_shape(mask, [-1, 2])
+            return mask.shape[0]
+
+        out = paddle.jit.to_static(dygraph_func)()
+        self.assertTrue(isinstance(out, paddle.Tensor))
+        self.assertEqual(out.numpy(), 2)
+
+
+if __name__ == '__main__':
+    unittest.main()