remove paddle.readers API (#26727)

* remove paddle.readers API. test=develop

python/paddle/__init__.py

@@ -204,7 +204,6 @@ from .tensor.math import prod  #DEFINE_ALIAS
 from .tensor.random import standard_normal
 from .tensor.random import normal
 from .tensor.random import uniform  #DEFINE_ALIAS
-from .tensor.random import shuffle  #DEFINE_ALIAS
 from .tensor.random import randn  #DEFINE_ALIAS
 from .tensor.random import rand  #DEFINE_ALIAS
 from .tensor.random import randint  #DEFINE_ALIAS

python/paddle/dataset/flowers.py

@@ -37,7 +37,7 @@ from .common import download
 import tarfile
 import scipy.io as scio
 from paddle.dataset.image import *
-from paddle.reader import *
+from paddle.reader import map_readers, xmap_readers
 from paddle import compat as cpt
 import os
 import numpy as np

python/paddle/fluid/io.py

@@ -26,13 +26,13 @@ from functools import reduce
 import numpy as np
 
 import paddle
-import paddle.reader
-from paddle.reader import *
 from paddle.fluid import layers
 from paddle.fluid.executor import Executor, global_scope
 from paddle.fluid.evaluator import Evaluator
 from paddle.fluid.framework import Program, Parameter, default_main_program, default_startup_program, Variable, \
     program_guard, dygraph_not_support
+from paddle.reader import cache, map_readers, buffered, compose, chain, shuffle, \
+    ComposeNotAligned, firstn, xmap_readers, multiprocess_reader
 from .wrapped_decorator import signature_safe_contextmanager
 from paddle.fluid.compiler import CompiledProgram
 from paddle.fluid.log_helper import get_logger
@@ -62,7 +62,7 @@ __all__ = [
     'set_program_state',
     'get_program_parameter',
     'get_program_persistable_vars',
-] + reader.__all__ + paddle.reader.__all__
+] + reader.__all__
 
 _logger = get_logger(
     __name__, logging.INFO, fmt='%(asctime)s-%(levelname)s: %(message)s')

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

@@ -37,7 +37,7 @@ class TestClass(unittest.TestCase):
                     low=0, high=9, size=label_shape).astype('int64')
                 yield img, label
 
-        reader = fluid.io.cache(fake_reader)
+        reader = paddle.reader.cache(fake_reader)
         batch_reader = fluid.io.batch(reader, batch_size=batch_size)
 
         places = [fluid.CPUPlace()]

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

@@ -592,7 +592,7 @@ class TestStarGANWithGradientPenalty(unittest.TestCase):
         cfg = Config(place)
 
         dataset = create_mnist_dataset(cfg)
-        dataset = fluid.io.cache(dataset)
+        dataset = paddle.reader.cache(dataset)
 
         static_graph_model = StaticGraphTrainModel(cfg)
         static_loss = []

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

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import paddle
 import paddle.fluid as fluid
-from paddle.fluid.io import multiprocess_reader
+from paddle.reader import multiprocess_reader
 import unittest
 import numpy as np
 import six

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

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import paddle
 import paddle.fluid as fluid
 import unittest
 import numpy as np
@@ -60,8 +61,8 @@ class TestPyReaderCombination(unittest.TestCase):
             py_reader2 = fluid.io.PyReader(
                 feed_list=[image, label], capacity=16, iterable=True)
 
-            reader1 = fluid.io.cache(self.create_reader(self.n1))
-            reader2 = fluid.io.cache(self.create_reader(self.n2))
+            reader1 = paddle.reader.cache(self.create_reader(self.n1))
+            reader2 = paddle.reader.cache(self.create_reader(self.n2))
             py_reader1.decorate_batch_generator(reader1, places=place)
             py_reader2.decorate_batch_generator(reader2, places=place)
 

python/paddle/io/__init__.py

@@ -31,15 +31,6 @@ __all__ = [
     'set_program_state',
     'load_inference_model',
     'save_inference_model',
-    'batch',
-    'shuffle',
-    'buffered',
-    'cache',
-    'chain',
-    'firstn',
-    'compose',
-    'map_readers',
-    'xmap_readers'
 ]
 
 from ..fluid.io import DataLoader
@@ -47,4 +38,3 @@ from ..fluid.dataloader import Dataset, IterableDataset, BatchSampler, get_worke
         TensorDataset, Sampler, SequenceSampler, RandomSampler, DistributedBatchSampler
 from ..fluid.io import load, save, load_program_state, set_program_state, \
         load_inference_model, save_inference_model, batch
-from ..reader import shuffle, buffered, cache, chain, firstn, compose, map_readers, xmap_readers

python/paddle/reader/__init__.py

@@ -66,4 +66,4 @@ An example implementation for multiple item data reader creator:
 import paddle.reader.decorator
 from paddle.reader.decorator import *
 
-__all__ = decorator.__all__
+__all__ = []

python/paddle/tensor/__init__.py

@@ -171,7 +171,6 @@ from .math import prod  #DEFINE_ALIAS
 from .random import standard_normal
 from .random import normal
 from .random import uniform  #DEFINE_ALIAS
-from .random import shuffle  #DEFINE_ALIAS
 from .random import randn  #DEFINE_ALIAS
 from .random import rand  #DEFINE_ALIAS
 from .random import randint  #DEFINE_ALIAS

python/paddle/tensor/random.py

@@ -21,14 +21,11 @@ from ..fluid.data_feeder import check_variable_and_dtype, check_type, check_dtyp
 from ..fluid.layers import utils
 import paddle
 
-from ..fluid.io import shuffle  #DEFINE_ALIAS
-
 __all__ = [
     'bernoulli',
     'standard_normal',
     'normal',
     'uniform',
-    'shuffle',
     'randn',
     'rand',
     'randint',