chore: import upstream snapshot with attribution

test/auto_parallel/test_trial.py

@@ -0,0 +1,55 @@
+# Copyright (c) 2022 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 paddle.distributed.auto_parallel.static.tuner import (
+    trial as tr,
+    tunable_space as ts,
+)
+
+
+class TestTrial(unittest.TestCase):
+    def test_trial(self):
+        space = ts.TunableSpace()
+        space.choice("choice", [0, 1, 2, 3], default=2)
+        trial = tr.Trial(space, trial_id="trial-1")
+        trial.recorder.register("latency", direction="min")
+        trial.recorder.update("latency", 0.1, step=0)
+        trial.recorder.update("latency", 0.2, step=1)
+        trial.best_step = 0
+
+        self.assertEqual(trial.id, "trial-1")
+        self.assertEqual(trial.space.get_value("choice"), 2)
+        self.assertEqual(trial.best_step, 0)
+        self.assertEqual(trial.status, "RUNNING")
+
+    def test_serialization(self):
+        space = ts.TunableSpace()
+        space.int_range("int_range", start=1, stop=4, default=2)
+        trial = tr.Trial(space, trial_id="trial-2", status="COMPLETED")
+        trial.recorder.register("latency", direction="min")
+        trial.recorder.update("latency", 0.1, step=0)
+        trial.recorder.update("latency", 0.2, step=1)
+        trial.best_step = 0
+
+        new_trial = tr.Trial.from_state(trial.get_state())
+        self.assertEqual(new_trial.id, "trial-2")
+        self.assertEqual(new_trial.space.get_value("int_range"), 2)
+        self.assertEqual(new_trial.best_step, 0)
+        self.assertEqual(new_trial.status, "COMPLETED")
+
+
+if __name__ == "__main__":
+    unittest.main()