update 2.0 public api in all left files

python/paddle/__init__.py

@@ -244,9 +244,8 @@
 from .framework import load  # noqa: F401
 from .framework import DataParallel  # noqa: F401
 
-from .framework import set_default_dtype  #DEFINE_ALIAS
-from .framework import get_default_dtype  #DEFINE_ALIAS
-from .framework import set_grad_enabled  #DEFINE_ALIAS
+from .framework import set_default_dtype  # noqa: F401
+from .framework import get_default_dtype  # noqa: F401
 
 from .tensor.search import index_sample  # noqa: F401
 from .tensor.stat import mean  # noqa: F401
@@ -484,7 +483,6 @@
            'logical_not',
            'add_n',
            'minimum',
-           'ComplexTensor',
            'scatter',
            'scatter_',
            'floor',
@@ -493,5 +491,6 @@
            'log2',
            'log10',
            'concat',
-           'check_shape'
+           'check_shape',
+           'standard_normal'
 ]

python/paddle/amp/__init__.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from .auto_cast import auto_cast
-from .grad_scaler import GradScaler
+from .auto_cast import auto_cast  # noqa: F401
+from .grad_scaler import GradScaler  # noqa: F401
 
 __all__ = ['auto_cast', 'GradScaler']

python/paddle/amp/auto_cast.py

@@ -14,7 +14,7 @@
 
 from paddle.fluid.dygraph.amp import amp_guard
 
-__all__ = ['auto_cast']
+__all__ = []
 
 
 def auto_cast(enable=True, custom_white_list=None, custom_black_list=None):

python/paddle/amp/grad_scaler.py

@@ -14,7 +14,7 @@
 
 from paddle.fluid.dygraph.amp import AmpScaler
 
-__all__ = ['GradScaler']
+__all__ = []
 
 
 class GradScaler(AmpScaler):

python/paddle/autograd/__init__.py

@@ -12,10 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from ..fluid.dygraph.base import grad  #DEFINE_ALIAS
-
-from . import backward_mode
-from .backward_mode import backward
-from .py_layer import PyLayer, PyLayerContext
+from ..fluid.dygraph.base import grad  # noqa: F401
+from . import backward_mode  # noqa: F401
+from .backward_mode import backward  # noqa: F401
+from .py_layer import PyLayer, PyLayerContext  # noqa: F401
 
 __all__ = ['grad', 'backward', 'PyLayer', 'PyLayerContext']

python/paddle/autograd/backward_mode.py

@@ -15,7 +15,7 @@
 from paddle.fluid import core
 from paddle.fluid import framework
 import paddle
-__all__ = ['backward']
+__all__ = []
 
 
 @framework.dygraph_only

python/paddle/autograd/py_layer.py

@@ -15,7 +15,7 @@
 import paddle
 from paddle.fluid.framework import dygraph_only
 from paddle.fluid import core
-__all__ = ['PyLayer', 'PyLayerContext']
+__all__ = []
 
 
 class PyLayerContext(object):

python/paddle/batch.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__all__ = ['batch']
+__all__ = []
 
 
 def batch(reader, batch_size, drop_last=False):
@@ -35,11 +35,11 @@ def batch(reader, batch_size, drop_last=False):
     Examples:
         .. code-block:: python
 
-            import paddle.fluid as fluid
+            import paddle
             def reader():
                 for i in range(10):
                     yield i
-            batch_reader = fluid.io.batch(reader, batch_size=2)
+            batch_reader = paddle.batch(reader, batch_size=2)
 
             for data in batch_reader():
                 print(data)

python/paddle/compat.py

@@ -15,14 +15,7 @@
 import six
 import math
 
-__all__ = [
-    'long_type',
-    'to_text',
-    'to_bytes',
-    'round',
-    'floor_division',
-    'get_exception_message',
-]
+__all__ = []
 
 if six.PY2:
     int_type = int

python/paddle/device.py

@@ -18,25 +18,10 @@
 from paddle.fluid import core
 from paddle.fluid import framework
 from paddle.fluid.dygraph.parallel import ParallelEnv
-from paddle.fluid.framework import is_compiled_with_cuda  #DEFINE_ALIAS
-from paddle.fluid.framework import is_compiled_with_rocm  #DEFINE_ALIAS
-
-__all__ = [
-    'get_cudnn_version',
-    'set_device',
-    'get_device',
-    'XPUPlace',
-    'is_compiled_with_xpu',
-    #            'cpu_places',
-    #            'CPUPlace',
-    #            'cuda_pinned_places',
-    #            'cuda_places',
-    #            'CUDAPinnedPlace',
-    #            'CUDAPlace',
-    'is_compiled_with_cuda',
-    'is_compiled_with_rocm',
-    'is_compiled_with_npu'
-]
+from paddle.fluid.framework import is_compiled_with_cuda  # noqa: F401
+from paddle.fluid.framework import is_compiled_with_rocm  # noqa: F401
+
+__all__ = []
 
 _cudnn_version = None
 
@@ -68,7 +53,7 @@ def is_compiled_with_xpu():
         .. code-block:: python
 
             import paddle
-            support_xpu = paddle.device.is_compiled_with_xpu()
+            support_xpu = paddle.is_compiled_with_xpu()
     """
     return core.is_compiled_with_xpu()
 
@@ -82,9 +67,10 @@ def XPUPlace(dev_id):
 
     Examples:
         .. code-block:: python
-
+            # required: xpu
+
             import paddle
-            place = paddle.device.XPUPlace(0)
+            place = paddle.XPUPlace(0)
     """
     return core.XPUPlace(dev_id)
 

python/paddle/distributed/parallel.py

@@ -29,9 +29,7 @@
 from paddle.fluid.dygraph.parallel import ParallelEnv
 from paddle.distributed.fleet.base.private_helper_function import wait_server_ready  # noqa: F401
 
-__all__ = [  #noqa
-    "init_parallel_env"
-]
+__all__ = []
 
 ParallelStrategy = core.ParallelStrategy
 

python/paddle/incubate/__init__.py

@@ -12,10 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from . import optimizer
-from . import checkpoint
-from ..fluid.layer_helper import LayerHelper
+from .optimizer import LookAhead  # noqa: F401
+from .optimizer import ModelAverage  # noqa: F401
+from .checkpoint import auto_checkpoint  # noqa: F401
+from ..fluid.layer_helper import LayerHelper  # noqa: F401
 
-__all__ = []
-__all__ += optimizer.__all__
-__all__ += checkpoint.__all__
+__all__ = [  # noqa
+    'LookAhead', 'ModelAverage'
+]

python/paddle/incubate/checkpoint/__init__.py

@@ -12,6 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from ...fluid.incubate.checkpoint import auto_checkpoint
+from ...fluid.incubate.checkpoint import auto_checkpoint  # noqa: F401
 
-__all__ = ["auto_checkpoint"]
+__all__ = []

python/paddle/incubate/optimizer/__init__.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from .lookahead import LookAhead
-from .modelaverage import ModelAverage
+from .lookahead import LookAhead  # noqa: F401
+from .modelaverage import ModelAverage  # noqa: F401
 
-__all__ = ['LookAhead', 'ModelAverage']
+__all__ = []

python/paddle/incubate/optimizer/lookahead.py

@@ -20,7 +20,7 @@
 import numpy as np
 from paddle.fluid.dygraph import base as imperative_base
 
-__all__ = ["LookAhead"]
+__all__ = []
 
 
 class LookAhead(Optimizer):
@@ -99,7 +99,7 @@ def train(layer, loader, loss_fn, opt):
             layer = LinearNet()
             loss_fn = nn.CrossEntropyLoss()
             optimizer = paddle.optimizer.SGD(learning_rate=0.1, parameters=layer.parameters())
-            lookahead = paddle.incubate.optimizer.LookAhead(optimizer, alpha=0.2, k=5)
+            lookahead = paddle.incubate.LookAhead(optimizer, alpha=0.2, k=5)
 
             # create data loader
             dataset = RandomDataset(BATCH_NUM * BATCH_SIZE)
@@ -163,7 +163,7 @@ def step(self):
                 out = linear(inp)
                 loss = paddle.mean(out)
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
-                lookahead = paddle.incubate.optimizer.LookAhead(sgd, alpha=0.2, k=5)
+                lookahead = paddle.incubate.LookAhead(sgd, alpha=0.2, k=5)
                 loss.backward()
                 lookahead.step()
                 lookahead.clear_grad()
@@ -274,7 +274,7 @@ def minimize(self,
                 out = linear(inp)
                 loss = paddle.mean(out)
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
-                lookahead = paddle.incubate.optimizer.LookAhead(sgd, alpha=0.2, k=5)
+                lookahead = paddle.incubate.LookAhead(sgd, alpha=0.2, k=5)
                 loss.backward()
                 lookahead.minimize(loss)
                 lookahead.clear_grad()

python/paddle/incubate/optimizer/modelaverage.py

@@ -21,7 +21,7 @@
 from paddle.fluid.dygraph import base as imperative_base
 from paddle.fluid.wrapped_decorator import signature_safe_contextmanager
 
-__all__ = ["ModelAverage"]
+__all__ = []
 
 
 class ModelAverage(Optimizer):
@@ -129,7 +129,7 @@ def evaluate(layer, loader, loss_fn):
         layer = LinearNet()
         loss_fn = nn.CrossEntropyLoss()
         optimizer = opt.Momentum(learning_rate=0.2, momentum=0.1, parameters=layer.parameters())
-        model_average = paddle.incubate.optimizer.ModelAverage(0.15,
+        model_average = paddle.incubate.ModelAverage(0.15,
                                                     parameters=layer.parameters(),
                                                     min_average_window=2,
                                                     max_average_window=10)
@@ -313,7 +313,7 @@ def minimize(self,
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
                 sgd.minimize(loss)
 
-                modelaverage = paddle.incubate.optimizer.ModelAverage(0.15,
+                modelaverage = paddle.incubate.ModelAverage(0.15,
                                                             parameters=linear.parameters(),
                                                             min_average_window=2,
                                                             max_average_window=4)
@@ -345,7 +345,7 @@ def step(self):
                 out = linear(inp)
                 loss = paddle.mean(out)
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
-                modelaverage = paddle.incubate.optimizer.ModelAverage(0.15,
+                modelaverage = paddle.incubate.ModelAverage(0.15,
                                                             parameters=linear.parameters(),
                                                             min_average_window=2,
                                                             max_average_window=4)
@@ -395,7 +395,7 @@ def apply(self, executor=None, need_restore=True):
 
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
 
-                modelaverage = paddle.incubate.optimizer.ModelAverage(0.15,
+                modelaverage = paddle.incubate.ModelAverage(0.15,
                                                             parameters=linear.parameters(),
                                                             min_average_window=2,
                                                             max_average_window=4)
@@ -467,7 +467,7 @@ def restore(self, executor=None):
 
                 sgd = paddle.optimizer.SGD(learning_rate=0.1,parameters=linear.parameters())
 
-                modelaverage = paddle.incubate.optimizer.ModelAverage(0.15,
+                modelaverage = paddle.incubate.ModelAverage(0.15,
                                                             parameters=linear.parameters(),
                                                             min_average_window=2,
                                                             max_average_window=4)

python/paddle/inference/__init__.py

@@ -12,5 +12,26 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from ..fluid.inference import Config, DataType, PlaceType, PrecisionType, Tensor, \
-    Predictor, create_predictor, get_version, get_num_bytes_of_data_type, PredictorPool
+from ..fluid.inference import Config  # noqa: F401
+from ..fluid.inference import DataType  # noqa: F401
+from ..fluid.inference import PlaceType  # noqa: F401
+from ..fluid.inference import PrecisionType  # noqa: F401
+from ..fluid.inference import Tensor  # noqa: F401
+from ..fluid.inference import Predictor  # noqa: F401
+from ..fluid.inference import create_predictor  # noqa: F401
+from ..fluid.inference import get_version  # noqa: F401
+from ..fluid.inference import get_num_bytes_of_data_type  # noqa: F401
+from ..fluid.inference import PredictorPool  # noqa: F401
+
+__all__ = [  # noqa
+    'Config',
+    'DataType',
+    'PlaceType',
+    'PrecisionType',
+    'Tensor',
+    'Predictor',
+    'create_predictor',
+    'get_version',
+    'get_num_bytes_of_data_type',
+    'PredictorPool'
+]

python/paddle/jit/__init__.py

@@ -14,19 +14,26 @@
 
 from __future__ import print_function
 
-from ..fluid.dygraph.jit import save  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import load  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import TracedLayer  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import set_code_level  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import set_verbosity  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import declarative as to_static  #DEFINE_ALIAS
-from ..fluid.dygraph.jit import not_to_static  #DEFINE_ALIAS
-from ..fluid.dygraph import ProgramTranslator  #DEFINE_ALIAS
-from ..fluid.dygraph.io import TranslatedLayer  #DEFINE_ALIAS
+from ..fluid.dygraph.jit import save  # noqa: F401
+from ..fluid.dygraph.jit import load  # noqa: F401
+from ..fluid.dygraph.jit import TracedLayer  # noqa: F401
+from ..fluid.dygraph.jit import set_code_level  # noqa: F401
+from ..fluid.dygraph.jit import set_verbosity  # noqa: F401
+from ..fluid.dygraph.jit import declarative as to_static  # noqa: F401
+from ..fluid.dygraph.jit import not_to_static  # noqa: F401
+from ..fluid.dygraph import ProgramTranslator  # noqa: F401
+from ..fluid.dygraph.io import TranslatedLayer  # noqa: F401
 
-from . import dy2static
+from . import dy2static  # noqa: F401
 
-__all__ = [
-    'save', 'load', 'TracedLayer', 'to_static', 'ProgramTranslator',
-    'TranslatedLayer', 'set_code_level', 'set_verbosity', 'not_to_static'
+__all__ = [  # noqa
+    'save',
+    'load',
+    'TracedLayer',
+    'to_static',
+    'ProgramTranslator',
+    'TranslatedLayer',
+    'set_code_level',
+    'set_verbosity',
+    'not_to_static'
 ]