modify the implementation of save_persistables and save_inference_model for...

modify the implementation of save_persistables and save_inference_model for fleet collective mode (#20802)

* modify the implementation of  save_persistables and save_inference_model functions for fleet collective, test=develop

* add ut, test=develop

python/paddle/fluid/incubate/fleet/collective/__init__.py

@@ -16,6 +16,10 @@ import logging
 import paddle.fluid as fluid
 import paddle.fluid.io as io
 import paddle.fluid.transpiler.distribute_transpiler as dist_transpiler
+from paddle.fluid.executor import Executor
+from paddle.fluid.parallel_executor import ParallelExecutor
+from paddle.fluid.compiler import CompiledProgram
+from paddle.fluid.framework import Program
 
 from paddle.fluid.incubate.fleet.base.fleet_base import Fleet
 from paddle.fluid.incubate.fleet.base.fleet_base import Mode
@@ -80,11 +84,47 @@ class Collective(Fleet):
                              target_vars=None,
                              main_program=None,
                              export_for_deployment=True):
+        """
+        Prune the given `main_program` to build a new program especially for
+        inference, and then save it and all related parameters to given
+        `dirname` by the `executor`.
+        """
+        assert isinstance(executor, Executor), \
+            "In fleet.save_inference_model() function, executor must be as" \
+            " Executor type."
+
+        if main_program is None:
+            main_program = self._origin_program
+        assert isinstance(main_program, Program), \
+            "In fleet.save_inference_model() function, main_program " \
+            "must be as Program type."
+
         io.save_inference_model(dirname, feeded_var_names, target_vars,
                                 executor, main_program, None, None,
                                 export_for_deployment)
 
     def save_persistables(self, executor, dirname, main_program=None):
+        """
+        This function filters out all variables with `persistable==True` from
+        the give `main_program` and then saves these variables to the folder
+        `dirname` or file `filename`.
+
+        The `dirname` is used to specify the folder where persistable variables
+        are going to be saved. If you would like to save variables in separate
+        files, set `filename` None; if you would like to save all variables in a
+        single file, use `filename` to specify the file name.
+        """
+        assert isinstance(executor, Executor), \
+            "In fleet.save_inference_model() function, executor must be as" \
+            " Executor type."
+
+        if main_program is None:
+            main_program = self._origin_program
+
+        assert isinstance(main_program, Program), \
+            "In fleet.save_inference_model() function, main_program " \
+            "must be as Program type."
+
         io.save_persistables(executor, dirname, main_program, None)
 
 

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

@@ -191,6 +191,36 @@ class TestDistRunnerBase(object):
         else:
             sys.stdout.buffer.write(pickle.dumps(out_losses))
 
+        if args.save_model:
+            model_save_dir = "/tmp"
+            if fleet.worker_index() == 0:
+                model_save_dir_fluid = os.path.join(model_save_dir,
+                                                    "fluid_persistables")
+                model_save_dir_fleet = os.path.join(model_save_dir,
+                                                    "fleet_persistables")
+                infer_save_dir_fluid = os.path.join(model_save_dir,
+                                                    "fluid_infer")
+                infer_save_dir_fleet = os.path.join(model_save_dir,
+                                                    "fleet_infer")
+            else:
+                model_save_dir_fluid = os.path.join(model_save_dir,
+                                                    "fluid_persistables_2")
+                model_save_dir_fleet = os.path.join(model_save_dir,
+                                                    "fleet_persistables_2")
+                infer_save_dir_fluid = os.path.join(model_save_dir,
+                                                    "fluid_infer_2")
+                infer_save_dir_fleet = os.path.join(model_save_dir,
+                                                    "fleet_infer_2")
+            fluid.io.save_persistables(exe, model_save_dir_fluid,
+                                       fleet._origin_program)
+            fleet.save_persistables(executor=exe, dirname=model_save_dir_fleet)
+            feeded_var_names = [var.name for var in feed_var_list]
+            fluid.io.save_inference_model(infer_save_dir_fluid,
+                                          feeded_var_names, [avg_cost], exe,
+                                          fleet._origin_program)
+            fleet.save_inference_model(exe, infer_save_dir_fleet,
+                                       feeded_var_names, [avg_cost])
+
     def run_trainer(self, args):
         self.lr = args.lr
         if args.nccl2_reduce_layer_local_run:
@@ -438,6 +468,7 @@ def runtime_main(test_class):
     parser.add_argument('--use_reduce', action='store_true')
     parser.add_argument('--dc_asgd', action='store_true')
     parser.add_argument('--hogwild', action='store_true')
+    parser.add_argument('--save_model', action='store_true')
     parser.add_argument(
         '--use_reader_alloc', action='store_true', required=False)
     parser.add_argument('--batch_size', required=False, type=int, default=2)
@@ -513,6 +544,7 @@ class TestDistBase(unittest.TestCase):
         self._use_local_sgd = False
         self._ut4grad_allreduce = False
         self._use_hallreduce = False
+        self._save_model = False
         self._setup_config()
 
         global DIST_UT_PORT
@@ -763,6 +795,8 @@ class TestDistBase(unittest.TestCase):
             tr_cmd += " --use_reduce"
         if self._use_reader_alloc:
             tr_cmd += " --use_reader_alloc"
+        if self._save_model:
+            tr_cmd += " --save_model"
         if self.__use_cuda:
             tr_cmd += " --use_cuda"
             env.update({

python/paddle/fluid/tests/unittests/test_dist_mnist_fleet_save.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.
+
+from __future__ import print_function
+import shutil
+import os
+import unittest
+from test_dist_base import TestDistBase
+
+
+class TestDistMnistFleetSave(TestDistBase):
+    def _setup_config(self):
+        self._sync_mode = True
+        self._use_reduce = False
+        self._use_reader_alloc = False
+        self._nccl2_mode = True
+        self._gpu_fleet_api = True
+        self._save_model = True
+
+    def _rm_temp_files(self, dirname):
+        fluid_model_path = os.path.join(dirname, 'fluid_persistables')
+        fleet_model_path = os.path.join(dirname, 'fleet_persistables')
+        fluid_infer_path = os.path.join(dirname, 'fluid_infer')
+        fleet_infer_path = os.path.join(dirname, 'fleet_infer')
+        fluid_model_path_2 = os.path.join(dirname, 'fluid_persistables_2')
+        fleet_model_path_2 = os.path.join(dirname, 'fleet_persistables_2')
+        fluid_infer_path_2 = os.path.join(dirname, 'fluid_infer_2')
+        fleet_infer_path_2 = os.path.join(dirname, 'fleet_infer_2')
+
+        shutil.rmtree(fluid_model_path)
+        shutil.rmtree(fleet_model_path)
+        shutil.rmtree(fluid_infer_path)
+        shutil.rmtree(fleet_infer_path)
+        shutil.rmtree(fluid_model_path_2)
+        shutil.rmtree(fleet_model_path_2)
+        shutil.rmtree(fluid_infer_path_2)
+        shutil.rmtree(fleet_infer_path_2)
+
+    def _test_saved_files(self, dirname):
+        fluid_model_path = os.path.join(dirname, 'fluid_persistables')
+        fluid_persistables = sorted(os.listdir(fluid_model_path))
+        fleet_model_path = os.path.join(dirname, 'fleet_persistables')
+        fleet_persistables = sorted(os.listdir(fleet_model_path))
+        fluid_infer_path = os.path.join(dirname, 'fluid_infer')
+        fluid_infer_files = sorted(os.listdir(fluid_infer_path))
+        fleet_infer_path = os.path.join(dirname, 'fleet_infer')
+        fleet_infer_files = sorted(os.listdir(fleet_infer_path))
+
+        if len(fluid_persistables) != len(fleet_persistables):
+            self._rm_temp_files(dirname)
+            raise ValueError("Test Failed.")
+        for i in range(len(fluid_persistables)):
+            if fluid_persistables[i] != fleet_persistables[i]:
+                self._rm_temp_files(dirname)
+                raise ValueError("Test Failed.")
+
+        if len(fluid_infer_files) != len(fleet_infer_files):
+            self._rm_temp_files(dirname)
+            raise ValueError("Test Failed.")
+        for i in range(len(fluid_infer_files)):
+            if fluid_infer_files[i] != fleet_infer_files[i]:
+                self._rm_temp_files(dirname)
+                raise ValueError("Test Failed.")
+        self._rm_temp_files(dirname)
+        return True
+
+    def check_with_place(self,
+                         model_file,
+                         delta=1e-3,
+                         check_error_log=False,
+                         need_envs={},
+                         log_name=""):
+        required_envs = self._get_required_envs(check_error_log, need_envs)
+
+        tr0_losses, tr1_losses = self._run_cluster_nccl2(
+            model_file,
+            required_envs,
+            False,
+            check_error_log,
+            log_name=log_name)
+
+        dirname = '/tmp'
+        self._test_saved_files(dirname)
+
+    def test_dist_train(self):
+        import paddle.fluid as fluid
+        if fluid.core.is_compiled_with_cuda():
+            self.check_with_place("dist_mnist.py", delta=1e-5)
+
+
+if __name__ == "__main__":
+    unittest.main()