change API name

test=develop

paddle/fluid/API.spec

@@ -61,10 +61,10 @@ paddle.fluid.io.load_params (ArgSpec(args=['executor', 'dirname', 'main_program'
 paddle.fluid.io.load_persistables (ArgSpec(args=['executor', 'dirname', 'main_program', 'filename'], varargs=None, keywords=None, defaults=(None, None)), ('document', '28df5bfe26ca7a077f91156abb0fe6d2'))
 paddle.fluid.io.save_inference_model (ArgSpec(args=['dirname', 'feeded_var_names', 'target_vars', 'executor', 'main_program', 'model_filename', 'params_filename', 'export_for_deployment'], varargs=None, keywords=None, defaults=(None, None, None, True)), ('document', '582d87b8df75a5a639a107db8ff86f9c'))
 paddle.fluid.io.load_inference_model (ArgSpec(args=['dirname', 'executor', 'model_filename', 'params_filename', 'pserver_endpoints'], varargs=None, keywords=None, defaults=(None, None, None)), ('document', '7a5255386075dac3c75b7058254fcdcb'))
-paddle.fluid.io.PyReader.__init__ (ArgSpec(args=['self', 'feed_list', 'capacity', 'use_double_buffer', 'iterable'], varargs=None, keywords=None, defaults=(True, False)), ('document', '18211b287474b401bc460d3f73dbc1c7'))
+paddle.fluid.io.PyReader.__init__ (ArgSpec(args=['self', 'feed_list', 'capacity', 'use_double_buffer', 'iterable'], varargs=None, keywords=None, defaults=(True, False)), ('document', 'b3d72958b2568aae3f90f72abdcb7d1a'))
-paddle.fluid.io.PyReader.decorate_paddle_reader (ArgSpec(args=['self', 'reader', 'places'], varargs=None, keywords=None, defaults=(None,)), ('document', 'faef298f73e91aedcfaf5d184f3109b7'))
+paddle.fluid.io.PyReader.decorate_batch_generator (ArgSpec(args=['self', 'reader', 'places'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd10224fef1095247063b6976da793021'))
-paddle.fluid.io.PyReader.decorate_sample_generator (ArgSpec(args=['self', 'sample_generator', 'batch_size', 'drop_last', 'places'], varargs=None, keywords=None, defaults=(True, None)), ('document', 'd3fe49fc342e7778ed086e965f41bf12'))
+paddle.fluid.io.PyReader.decorate_sample_generator (ArgSpec(args=['self', 'sample_generator', 'batch_size', 'drop_last', 'places'], varargs=None, keywords=None, defaults=(True, None)), ('document', '7abd9cf7d695bab5bb6cf7ded5903cb2'))
-paddle.fluid.io.PyReader.decorate_tensor_provider (ArgSpec(args=['self', 'reader', 'places'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd10224fef1095247063b6976da793021'))
+paddle.fluid.io.PyReader.decorate_sample_list_generator (ArgSpec(args=['self', 'reader', 'places'], varargs=None, keywords=None, defaults=(None,)), ('document', 'faef298f73e91aedcfaf5d184f3109b7'))
 paddle.fluid.io.PyReader.reset (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'ff1cc1e2beb8824d453656c72c28ddfb'))
 paddle.fluid.io.PyReader.start (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'b7ea0a548991924e4cfe61a577b8e56d'))
 paddle.fluid.initializer.ConstantInitializer.__init__ (ArgSpec(args=['self', 'value', 'force_cpu'], varargs=None, keywords=None, defaults=(0.0, False)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))

python/paddle/fluid/compiler.py

@@ -127,7 +127,9 @@ class CompiledProgram(object):
                 program in the given places. Otherwise, the places used when compiled 
                 is determined by the Executor, and the places used are controlled 
                 by environment variables: FLAGS_selected_gpus or CUDA_VISIBLE_DEVICES
-                if using GPU; or CPU_NUM if using CPU.  
+                if using GPU; or CPU_NUM if using CPU. For example, if you want to 
+                run on GPU 0 and 1, set places=[fluid.CUDAPlace(0), fluid.CUDAPlace(1)].
+                If you want to run on 2 CPU cores, set places=[fluid.CPUPlace()]*2.  
 
         Returns:
             self

python/paddle/fluid/layers/io.py

@@ -632,6 +632,9 @@ def _py_reader(capacity,
     reader.reset = __reset__
     reader.decorate_tensor_provider = __set_tensor_provider__
     reader.decorate_paddle_reader = __set_paddle_reader__
+
+    reader.decorate_batch_generator = __set_tensor_provider__
+    reader.decorate_sample_list_generator = __set_paddle_reader__
     reader.start = __start__
 
     return reader

python/paddle/fluid/reader.py

@@ -82,7 +82,7 @@ class PyReader(object):
             
                 reader = fluid.io.PyReader(feed_list=[image, label], 
                             capacity=4, iterable=False)
-                reader.decorate_paddle_reader(user_defined_reader)
+                reader.decorate_sample_list_generator(user_defined_reader)
                 ... # definition of network is omitted
                 executor.run(fluid.default_main_program())
                 for _ in range(EPOCH_NUM):
@@ -109,7 +109,7 @@ class PyReader(object):
 
                 reader = fluid.io.PyReader(feed_list=[image, label], 
                             capacity=4, iterable=True)
-                reader.decorate_paddle_reader(user_defined_reader, 
+                reader.decorate_sample_list_generator(user_defined_reader, 
                             places=fluid.cuda_places())
                 ... # definition of network is omitted
                 executor.run(fluid.default_main_program())
@@ -287,7 +287,7 @@ class PyReader(object):
         :code:`places` must be set when the PyReader object is iterable.
 
         If all inputs have no lods, this method is faster than 
-        :code:`decorate_paddle_reader(paddle.batch(sample_generator, ...))` .
+        :code:`decorate_sample_list_generator(paddle.batch(sample_generator, ...))` .
 
         Args:
             sample_generator (generator): Python generator that yields
@@ -306,7 +306,7 @@ class PyReader(object):
                 break
 
         if has_lod:
-            self.decorate_paddle_reader(
+            self.decorate_sample_list_generator(
                 paddle.batch(
                     sample_generator,
                     batch_size=batch_size,
@@ -319,9 +319,9 @@ class PyReader(object):
                 batch_size=batch_size,
                 generator=sample_generator,
                 drop_last=drop_last)
-            self.decorate_tensor_provider(reader, places=places)
+            self.decorate_batch_generator(reader, places=places)
 
-    def decorate_paddle_reader(self, reader, places=None):
+    def decorate_sample_list_generator(self, reader, places=None):
         '''
         Set the data source of the PyReader object. 
 
@@ -347,9 +347,9 @@ class PyReader(object):
             for slots in paddle_reader():
                 yield [slots[var.name] for var in self._feed_list]
 
-        self.decorate_tensor_provider(__tensor_reader_impl__, places)
+        self.decorate_batch_generator(__tensor_reader_impl__, places)
 
-    def decorate_tensor_provider(self, reader, places=None):
+    def decorate_batch_generator(self, reader, places=None):
         '''
         Set the data source of the PyReader object.
 

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

@@ -25,6 +25,7 @@ CLASS_NUM = 10
 
 
 def random_reader():
+    np.random.seed(1)
     for i in range(BATCH_SIZE * 40):
         image = np.random.random([784])
         label = np.random.random_integers(low=0, high=CLASS_NUM - 1)
@@ -79,7 +80,8 @@ class TestBase(unittest.TestCase):
             reader = paddle.batch(random_reader, batch_size=BATCH_SIZE)
 
             ps = places if use_double_buffer else fluid.cpu_places(len(places))
-            py_reader.decorate_paddle_reader(
+
+            py_reader.decorate_sample_list_generator(
                 reader, places=ps if py_reader.iterable else None)
 
             exe = fluid.Executor(place=places[0])
@@ -92,6 +94,7 @@ class TestBase(unittest.TestCase):
 
             step = 0
             step_list = []
+            loss_list = []
             start_t = time.time()
             if not py_reader.iterable:
                 for _ in six.moves.range(EPOCH_NUM):
@@ -102,6 +105,7 @@ class TestBase(unittest.TestCase):
                             L, = exe.run(program=prog,
                                          fetch_list=[loss],
                                          use_program_cache=True)
+                            loss_list.append(np.mean(L))
                             step += 1
                         except fluid.core.EOFException:
                             py_reader.reset()
@@ -123,10 +127,15 @@ class TestBase(unittest.TestCase):
                                      feed=d,
                                      fetch_list=[loss],
                                      use_program_cache=True)
+                        loss_list.append(np.mean(L))
                         step += 1
                     step_list.append(step)
             end_t = time.time()
-            ret = {"time": end_t - start_t, "step": step_list}
+            ret = {
+                "time": end_t - start_t,
+                "step": step_list,
+                "loss": np.array(loss_list)
+            }
             return ret
 
     def prepare_places(self, with_data_parallel, with_cpu=True, with_gpu=True):
@@ -148,12 +157,18 @@ class TestBase(unittest.TestCase):
         for with_data_parallel in [True, False]:
             for p in self.prepare_places(with_data_parallel):
                 for use_double_buffer in [False, True]:
+                    results = []
                     for use_legacy_py_reader in [False, True]:
                         ret = self.run_main(
                             use_legacy_py_reader=use_legacy_py_reader,
                             with_data_parallel=with_data_parallel,
                             places=p,
                             use_double_buffer=use_double_buffer)
+                        results.append(ret)
+                    if not use_double_buffer:
+                        diff = np.max(
+                            np.abs(results[0]['loss'] - results[1]['loss']))
+                        self.assertLess(diff, 1e-3)
 
 
 if __name__ == '__main__':

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

@@ -62,7 +62,7 @@ class TestCaseBase(unittest.TestCase):
         all_datas = self.generate_all_data(batch_reader)
 
         if not use_sample_generator:
-            py_reader.decorate_paddle_reader(
+            py_reader.decorate_sample_list_generator(
                 batch_reader, places=fluid.cpu_places())
         else:
             py_reader.decorate_sample_generator(