add checkpoint unittest

python/paddle/fluid/tests/unittests/test_checkpoint.py

+#   Copyright (c) 2018 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 paddle.fluid as fluid
+import unittest
+
+
+class TestCheckpoint(unittest.TestCase):
+    def setUp(self):
+        self.dirname = "/tmp/ckpt"
+        self.max_num_checkpoints = 3
+        self.epoch_interval = 1
+        self.step_interval = 1
+        self.trainer_id = 0
+        self.chief = self.trainer_id == 0
+        self.place = fluid.CPUPlace()
+        self.epoch_id = 100
+        self.step_id = 20
+
+    def test_checkpoint(self):
+        self.save_checkpoint()
+        serial = fluid.io.get_latest_checkpoint_serial(self.dirname)
+        self.assertTrue(serial >= 0)
+        trainer_args = ["epoch_id", "step_id"]
+        epoch_id, step_id = fluid.io.load_trainer_args(
+            self.dirname, serial, self.trainer_id, trainer_args)
+        self.assertEqual(self.step_id, step_id)
+        self.assertEqual(self.epoch_id, epoch_id)
+
+        program = fluid.Program()
+        with fluid.program_guard(program):
+            exe = fluid.Executor(self.place)
+            fluid.io.load_checkpoint(exe, self.dirname, serial, program)
+
+        fluid.io.clean_checkpoint(self.dirname, delete_dir=True)
+
+    def save_checkpoint(self):
+        config = fluid.CheckpointConfig(self.dirname, self.max_num_checkpoints,
+                                        self.epoch_interval, self.step_interval)
+
+        trainer_args = {}
+        trainer_args["epoch_id"] = self.epoch_id
+        trainer_args["step_id"] = self.step_id
+
+        program = fluid.Program()
+        with fluid.program_guard(program):
+            program.global_block().create_var(
+                name="scale_0",
+                psersistable=True,
+                dtype="float32",
+                shape=[32, 32])
+
+            exe = fluid.Executor(self.place)
+            for i in xrange(10):
+                fluid.io.save_checkpoint(
+                    exe, config.checkpoint_dir, self.trainer_id, self.chief,
+                    trainer_args, program, config.max_num_checkpoints)
+
+
+if __name__ == '__main__':
+    unittest.main()