Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into...

Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into distributed_split_selectedrows

.copyright.hook

+from __future__ import absolute_import
+from __future__ import print_function
+from __future__ import unicode_literals
+
+import argparse
+import io, re
+import sys, os
+import subprocess
+import platform
+
+COPYRIGHT = '''
+  Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+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.
+'''
+
+LANG_COMMENT_MARK = None
+
+NEW_LINE_MARK = None
+
+COPYRIGHT_HEADER = None
+
+if platform.system() == "Windows":
+    NEW_LINE_MARK = "\r\n"
+else:
+    NEW_LINE_MARK = '\n'
+    COPYRIGHT_HEADER = COPYRIGHT.split(NEW_LINE_MARK)[1]
+    p = re.search('(\d{4})', COPYRIGHT_HEADER).group(0)
+    process = subprocess.Popen(["date", "+%Y"], stdout=subprocess.PIPE)
+    date, err = process.communicate()
+    date = date.decode("utf-8").rstrip("\n")
+    COPYRIGHT_HEADER = COPYRIGHT_HEADER.replace(p, date)
+
+
+def generate_copyright(template, lang='C'):
+    if lang == 'Python':
+        LANG_COMMENT_MARK = '#'
+    else:
+        LANG_COMMENT_MARK = "//"
+
+    lines = template.split(NEW_LINE_MARK)
+    ans = LANG_COMMENT_MARK + COPYRIGHT_HEADER + NEW_LINE_MARK
+    for lino, line in enumerate(lines):
+        if lino == 0 or lino == 1 or lino == len(lines) - 1: continue
+        ans += LANG_COMMENT_MARK + line + NEW_LINE_MARK
+
+    return ans
+
+
+def lang_type(filename):
+    if filename.endswith(".py"):
+        return "Python"
+    elif filename.endswith(".h"):
+        return "C"
+    elif filename.endswith(".hpp"):
+        return "C"
+    elif filename.endswith(".cc"):
+        return "C"
+    elif filename.endswith(".cpp"):
+        return "C"
+    elif filename.endswith(".cu"):
+        return "C"
+    elif filename.endswith(".cuh"):
+        return "C"
+    elif filename.endswith(".go"):
+        return "C"
+    elif filename.endswith(".proto"):
+        return "C"
+    else:
+        print("Unsupported filetype")
+        exit(0)
+
+
+def main(argv=None):
+    parser = argparse.ArgumentParser(
+        description='Checker for copyright declaration.')
+    parser.add_argument('filenames', nargs='*', help='Filenames to check')
+    args = parser.parse_args(argv)
+
+    retv = 0
+    for filename in args.filenames:
+        first_line = io.open(filename).readline()
+        if "COPYRIGHT" in first_line.upper() : continue
+        original_contents = io.open(filename).read()
+        new_contents = generate_copyright(
+            COPYRIGHT, lang_type(filename)) + original_contents
+        print('Auto Insert Copyright Header {}'.format(filename))
+        retv = 1
+        with io.open(filename, 'w') as output_file:
+            output_file.write(new_contents)
+
+    return retv
+
+
+if __name__ == '__main__':
+    exit(main())

.pre-commit-config.yaml

@@ -31,3 +31,11 @@
     -   id: go-fmt
         types:
         - go
+-   repo: local
+    hooks:
+    -   id: copyright_checker
+        name: copyright_checker
+        entry: python ./.copyright.hook
+        language: system
+        files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto|py)$
+        exclude: (?!.*third_party)^.*$ | (?!.*book)^.*$

adversarial/advbox/attacks/base.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 """
 The base model of the model.
 """

adversarial/advbox/attacks/gradientsign.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 """
 This module provide the attack method for FGSM's implement.
 """
@@ -36,3 +49,39 @@ class GradientSignAttack(Attack):
 
 
 FGSM = GradientSignAttack
+
+
+class IteratorGradientSignAttack(Attack):
+    """
+    This attack was originally implemented by Alexey Kurakin(Google Brain).
+    Paper link: https://arxiv.org/pdf/1607.02533.pdf
+    """
+
+    def _apply(self, image_label, epsilons=100, steps=10):
+        """
+        Apply the iterative gradient sign attack.
+        Args:
+            image_label(list): The image and label tuple list of one element.
+            epsilons(list|tuple|int): The epsilon (input variation parameter).
+            steps(int): The number of iterator steps.
+        Return:
+            numpy.ndarray: The adversarail sample generated by the algorithm.
+        """
+        assert len(image_label) == 1
+        pre_label = np.argmax(self.model.predict(image_label))
+        gradient = self.model.gradient(image_label)
+        min_, max_ = self.model.bounds()
+
+        if not isinstance(epsilons, Iterable):
+            epsilons = np.linspace(0, 1, num=epsilons + 1)
+
+        for epsilon in epsilons:
+            adv_img = image_label[0][0].reshape(gradient.shape)
+            for _ in range(steps):
+                gradient = self.model.gradient([(adv_img, image_label[0][1])])
+                gradient_sign = np.sign(gradient) * (max_ - min_)
+                adv_img = adv_img + epsilon * gradient_sign
+                adv_img = np.clip(adv_img, min_, max_)
+                adv_label = np.argmax(self.model.predict([(adv_img, 0)]))
+                if pre_label != adv_label:
+                    return adv_img

adversarial/advbox/models/base.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 """
 The base model of the model.
 """

adversarial/advbox/models/paddle.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 absolute_import
 
 import numpy as np

adversarial/fluid_mnist.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 """
 CNN on mnist data using fluid api of paddlepaddle
 """

adversarial/mnist_tutorial_fgsm.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 """
 FGSM demos on mnist using advbox tool.
 """

benchmark/paddle/image/alexnet.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 
 from paddle.trainer_config_helpers import *

benchmark/paddle/image/googlenet.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 from paddle.trainer_config_helpers import *
 

benchmark/paddle/image/provider.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 io, os
 import random
 import numpy as np

benchmark/paddle/image/resnet.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 from paddle.trainer_config_helpers import *
 

benchmark/paddle/image/smallnet_mnist_cifar.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 
 from paddle.trainer_config_helpers import *

benchmark/paddle/image/vgg.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 from paddle.trainer_config_helpers import *
 

benchmark/paddle/rnn/provider.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 io, os
 import random
 import numpy as np

benchmark/paddle/rnn/rnn.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 
 from paddle.trainer_config_helpers import *

benchmark/tensorflow/image/alexnet.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 six.moves import xrange  # pylint: disable=redefined-builtin
 from datetime import datetime
 import math

benchmark/tensorflow/image/alexnet_multi_gpu.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 six.moves import xrange  # pylint: disable=redefined-builtin
 from datetime import datetime
 import math

benchmark/tensorflow/image/googlenet.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 six.moves import xrange
 from datetime import datetime
 import math

benchmark/tensorflow/image/googlenet_multi_gpu.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 six.moves import xrange  # pylint: disable=redefined-builtin
 from datetime import datetime
 import math

benchmark/tensorflow/image/smallnet_mnist_cifar.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 six.moves import xrange  # pylint: disable=redefined-builtin
 from datetime import datetime
 import math

benchmark/tensorflow/rnn/reader.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 os.path
 import io
 import numpy as np

benchmark/tensorflow/rnn/rnn.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 from six.moves import xrange  # pylint: disable=redefined-builtin
 import math

benchmark/tensorflow/rnn/rnn_multi_gpu.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 from six.moves import xrange  # pylint: disable=redefined-builtin
 import re

cmake/external/grpc.cmake

@@ -33,7 +33,7 @@ ExternalProject_Add(
     extern_grpc
     DEPENDS protobuf zlib
     GIT_REPOSITORY "https://github.com/grpc/grpc.git"
-    GIT_TAG "v1.7.x"
+    GIT_TAG "v1.8.x"
     PREFIX          ${GRPC_SOURCES_DIR}
     UPDATE_COMMAND  ""
     CONFIGURE_COMMAND ""

cmake/make_resource.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 os
 import re
 import sys

doc/api/v1/data_provider/src/mnist_config.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 define_py_data_sources2(

doc/api/v1/data_provider/src/mnist_provider.dict.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer.PyDataProvider2 import *
 
 

doc/api/v1/data_provider/src/sentimental_config.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 dictionary = dict()

doc/api/v1/data_provider/src/sentimental_provider.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer.PyDataProvider2 import *
 
 

doc/api/v2/fluid/layers.rst

@@ -358,6 +358,12 @@ reduce_min
 ..  autofunction:: paddle.v2.fluid.layers.reduce_min
     :noindex:
 
+
+split
+-----
+..  autofunction:: paddle.v2.fluid.layers.split
+    :noindex:
+
 logsigmoid
 ----------
 ..  autofunction:: paddle.v2.fluid.layers.logsigmoid

doc/api/v2/fluid/nets.rst

@@ -20,3 +20,8 @@ sequence_conv_pool
     :noindex:
 
 
+glu
+---
+..  autofunction:: paddle.v2.fluid.nets.glu
+    :noindex:
+

doc/faq/local/src/reduce_min_pool_size.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 @provider(min_pool_size=0, ...)
 def process(settings, filename):
     os.system('shuf %s > %s.shuf' % (filename, filename))  # shuffle before.

doc/faq/local/src/word2vec_config.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 ...  # the settings and define data provider is omitted.
 DICT_DIM = 3000  # dictionary dimension.
 word_ids = data_layer('word_ids', size=DICT_DIM)

doc/faq/local/src/word2vec_dataprovider.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 DICT_DIM = 3000
 
 

doc/getstarted/concepts/src/infer.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.v2 as paddle
 import numpy as np
 

doc/getstarted/concepts/src/train.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.v2 as paddle
 import numpy as np
 

doc/howto/usage/cluster/src/k8s_train/start_paddle.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/python
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

doc/howto/usage/cluster/src/word2vec/api_train_v2.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 gzip
 import math
 

doc/howto/usage/cluster/src/word2vec/api_train_v2_cluster.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 math
 import os
 import paddle.v2 as paddle

go/pserver/client/c/test/test_mnist.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.v2 as paddle
 import gzip
 

go/pserver/client/c/test/test_train.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.v2 as paddle
 import paddle.v2.dataset.uci_housing as uci_housing
 import paddle.v2.master as master

paddle/api/test/testTrainConfig.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 settings(batch_size=100, learning_method=AdamOptimizer())

paddle/capi/examples/model_inference/common/common.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #ifndef __CAPI_EXAMPLE_COMMON_H__
 #define __CAPI_EXAMPLE_COMMON_H__
 #include <stdio.h>

paddle/capi/examples/model_inference/dense/merge_v2_model.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.utils.merge_model import merge_v2_model
 
 from mnist_v2 import network

paddle/capi/examples/model_inference/dense/mnist_v2.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 os
 import sys
 import gzip

paddle/capi/examples/model_inference/dense/trainer_config.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 img = data_layer(name='pixel', size=784)

paddle/capi/examples/model_inference/sequence/trainer_config.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 WORD_DIM = 3000

paddle/capi/tests/test_predict_network.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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 paddle.trainer_config_helpers import *
 
 settings(batch_size=100)

paddle/cuda/src/avx_mathfun.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
    AVX implementation of sin, cos, sincos, exp and log
 

paddle/framework/backward_test.cc

-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
-
-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. */
+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 
 #include "paddle/framework/backward.h"
 

paddle/framework/dim.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #pragma once
 
 #include <iostream>

paddle/framework/dim_test.cu

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include <thrust/device_vector.h>
 #include <sstream>
 

paddle/framework/eigen_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/framework/lod_tensor_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/framework/lod_tensor_test.cu

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/framework/tensor_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/framework/tensor_util.h

@@ -315,9 +315,8 @@ inline void DeserializeFromStream(std::istream& is, Tensor* tensor,
           desc.data_type(),
           DeserializedDataFunctor(&buf, &cpu_tensor, ctx.GetPlace()));
       is.read(static_cast<char*>(buf), cpu_tensor.memory_size());
-      auto cpu_place = new platform::CPUPlace();
-      framework::Copy(cpu_tensor, *cpu_place, dev_ctx, tensor);
-      delete cpu_place;
+      auto dst_place = dev_ctx.GetPlace();
+      framework::Copy(cpu_tensor, dst_place, dev_ctx, tensor);
 #else
       PADDLE_THROW("Unexpected branch");
 #endif

paddle/framework/tensor_util_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/framework/variable.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
   Licensed under the Apache License, Version 2.0 (the "License");

paddle/gserver/tests/img_conv_cudnn.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #edit-mode: -*- python -*-
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/gserver/tests/img_conv_exconv.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #edit-mode: -*- python -*-
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/gserver/tests/sequence_recurrent.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/gserver/tests/sequence_rnn_matched_inputs.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 # edit-mode: -*- python -*-
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/gserver/tests/sequence_rnn_mixed_inputs.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 # edit-mode: -*- python -*-
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/gserver/tests/sequence_rnn_multi_unequalength_inputs.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #edit-mode: -*- python -*-
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/operators/CMakeLists.txt

@@ -149,7 +149,7 @@ op_library(sequence_pool_op DEPS sequence_pooling)
 op_library(lstm_op DEPS sequence2batch lstm_compute)
 op_library(gru_op DEPS sequence2batch gru_compute)
 op_library(recurrent_op DEPS executor)
-op_library(warpctc_op DEPS dynload_warpctc sequence_padding math_function)
+op_library(warpctc_op DEPS dynload_warpctc sequence_padding sequence_scale math_function)
 op_library(cos_sim_op DEPS cos_sim_functor)
 op_library(parallel_do_op DEPS executor)
 

paddle/operators/detail/grpc_client.cc

@@ -93,7 +93,6 @@ bool RPCClient::Wait() {
     }
 
     if (!Proceed()) {
-      LOG(ERROR) << "Get meets CompletionQueue error";
       return false;
     }
   }
@@ -107,9 +106,9 @@ bool RPCClient::Proceed() {
 
   // request counts.
   if (!cq_.Next(&tag, &ok)) {
+    LOG(ERROR) << "Get meets CompletionQueue error";
     return false;
   }
-  req_count_--;
 
   GPR_ASSERT(ok);
   PADDLE_ENFORCE(tag);
@@ -117,12 +116,15 @@ bool RPCClient::Proceed() {
   // TODO(gongwb): add more retries.
   ClientBase* c = static_cast<ClientBase*>(tag);
   if (!c->status_.ok()) {
+    LOG(ERROR) << "proc param error:" << c->var_h_.String()
+               << " grpc error:" << c->status_.error_message();
     delete c;
-    return true;
+    return false;
   }
 
   c->Process();
   delete c;
+  req_count_--;
   return true;
 }
 
@@ -132,8 +134,12 @@ std::shared_ptr<grpc::Channel> RPCClient::GetChannel(const std::string& ep) {
     return it->second;
   }
 
+  grpc::ChannelArguments args;
+  args.SetMaxSendMessageSize(std::numeric_limits<int>::max());
+  args.SetMaxReceiveMessageSize(std::numeric_limits<int>::max());
+
   auto ch = std::shared_ptr<grpc::Channel>(
-      grpc::CreateChannel(ep, grpc::InsecureChannelCredentials()));
+      grpc::CreateCustomChannel(ep, grpc::InsecureChannelCredentials(), args));
 
   channels_[ep] = ch;
   return ch;

paddle/operators/detail/grpc_server.cc

@@ -28,12 +28,15 @@ class RequestBase {
  public:
   explicit RequestBase(sendrecv::SendRecvService::AsyncService* service,
                        grpc::ServerCompletionQueue* cq)
-      : service_(service), cq_(cq), status_(PROCESS) {}
+      : service_(service), cq_(cq), status_(PROCESS) {
+    PADDLE_ENFORCE(cq_);
+  }
   virtual ~RequestBase() {}
   virtual void Process() { assert(false); }
 
   CallStatus Status() { return status_; }
   void SetStatus(CallStatus status) { status_ = status; }
+  virtual std::string GetReqName() { assert(false); }
 
  protected:
   grpc::ServerContext ctx_;
@@ -56,12 +59,14 @@ class RequestSend final : public RequestBase {
 
   virtual ~RequestSend() {}
 
+  virtual std::string GetReqName() { return request_.varname(); }
+
   virtual void Process() {
     MessageWithName msg_with_name =
         std::make_pair(request_.varname(), std::move(request_));
     queue_->Push(std::move(msg_with_name));
-    // TODO(gongwb): check var's info.
     responder_.Finish(reply_, grpc::Status::OK, this);
+    status_ = FINISH;
   }
 
  protected:
@@ -74,20 +79,27 @@ class RequestSend final : public RequestBase {
 class RequestGet final : public RequestBase {
  public:
   explicit RequestGet(sendrecv::SendRecvService::AsyncService* service,
-                      grpc::ServerCompletionQueue* cq, framework::Scope* scope)
-      : RequestBase(service, cq), responder_(&ctx_), scope_(scope) {
+                      grpc::ServerCompletionQueue* cq, framework::Scope* scope,
+                      const platform::DeviceContext* dev_ctx)
+      : RequestBase(service, cq),
+        responder_(&ctx_),
+        scope_(scope),
+        dev_ctx_(dev_ctx) {
     service_->RequestGetVariable(&ctx_, &request_, &responder_, cq_, cq_, this);
   }
 
   virtual ~RequestGet() {}
 
+  virtual std::string GetReqName() { return request_.varname(); }
+
   virtual void Process() {
     // proc request.
     std::string var_name = request_.varname();
     auto* var = scope_->FindVar(var_name);
-    SerializeToMessage(var_name, var, platform::CPUDeviceContext(), &reply_);
+    SerializeToMessage(var_name, var, *dev_ctx_, &reply_);
     // TODO(gongwb): check var's info.
     responder_.Finish(reply_, grpc::Status::OK, this);
+    status_ = FINISH;
   }
 
  protected:
@@ -95,11 +107,14 @@ class RequestGet final : public RequestBase {
   sendrecv::VariableMessage reply_;
   ServerAsyncResponseWriter<sendrecv::VariableMessage> responder_;
   framework::Scope* scope_;
+  const platform::DeviceContext* dev_ctx_;
 };
 
 void AsyncGRPCServer::RunSyncUpdate() {
   grpc::ServerBuilder builder;
   builder.AddListeningPort(address_, grpc::InsecureServerCredentials());
+  builder.SetMaxSendMessageSize(std::numeric_limits<int>::max());
+  builder.SetMaxReceiveMessageSize(std::numeric_limits<int>::max());
   builder.RegisterService(&service_);
 
   cq_send_ = builder.AddCompletionQueue();
@@ -155,22 +170,10 @@ void AsyncGRPCServer::TryToRegisterNewGetOne() {
   if (is_shut_down_) {
     return;
   }
-  RequestGet* get = new RequestGet(&service_, cq_get_.get(), scope_);
+  RequestGet* get = new RequestGet(&service_, cq_get_.get(), scope_, dev_ctx_);
   VLOG(4) << "create Requestget status:" << get->Status();
 }
 
-void AsyncGRPCServer::SetFinishOrDelete(RequestBase*& last) {
-  std::unique_lock<std::mutex> lock(cq_mutex_);
-  if (is_shut_down_) {
-    delete last;
-    last = NULL;
-    return;
-  }
-
-  last->SetStatus(FINISH);
-  return;
-}
-
 void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq,
                                     std::string cq_name,
                                     std::function<void()> TryToRegisterNewOne) {
@@ -184,13 +187,19 @@ void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq,
       break;
     }
 
+    PADDLE_ENFORCE(tag);
     if (wait && !done_) {
       Wait();
     }
 
     RequestBase* base = (RequestBase*)tag;
+    // reference:
+    // https://github.com/tensorflow/tensorflow/issues/5596
+    // https://groups.google.com/forum/#!topic/grpc-io/xftlRy-IQwM
+    // https://groups.google.com/forum/#!topic/grpc-io/ywATt88Ef_I
     if (!ok) {
-      VLOG(4) << cq_name << " recv no regular event";
+      LOG(WARNING) << cq_name << " recv no regular event:argument name"
+                   << base->GetReqName();
       TryToRegisterNewOne();
       delete base;
       continue;
@@ -201,7 +210,6 @@ void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq,
         VLOG(4) << cq_name << " status:" << base->Status();
         TryToRegisterNewOne();
         base->Process();
-        SetFinishOrDelete(base);
         break;
       }
       case FINISH: {

paddle/operators/detail/grpc_server.h

@@ -37,7 +37,7 @@ class RequestBase;
 
 class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
  public:
-  explicit AsyncGRPCServer(std::string address) { address_ = address; }
+  explicit AsyncGRPCServer(const std::string &address) : address_(address) {}
 
   void RunSyncUpdate();
 
@@ -47,6 +47,8 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
 
   void SetScope(framework::Scope *scope) { scope_ = scope; }
 
+  void SetDevCtx(const platform::DeviceContext *dev_ctx) { dev_ctx_ = dev_ctx; }
+
   const MessageWithName Get() { return this->var_recv_queue_.Pop(); }
 
   void Push(const MessageWithName &msg) { this->var_recv_queue_.Push(msg); }
@@ -60,7 +62,6 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
                      std::function<void()> TryToRegisterNewOne);
   void TryToRegisterNewSendOne();
   void TryToRegisterNewGetOne();
-  void SetFinishOrDelete(RequestBase *&last);
   void ShutdownQueue();
 
  private:
@@ -74,6 +75,7 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service {
 
   std::string address_;
   framework::Scope *scope_;
+  const platform::DeviceContext *dev_ctx_;
   // received variable from RPC, operators fetch variable from this queue.
   SimpleBlockQueue<MessageWithName> var_recv_queue_;
 

paddle/operators/elementwise_add_op.h

@@ -81,23 +81,6 @@ struct ElementwiseAddGradFunctor {
   }
 };
 
-template <typename T>
-struct ElementwiseAddOneGradFunctor {
-  template <typename Device, typename X, typename Y, typename Z, typename dX,
-            typename dY, typename dZ>
-  void operator()(Device d, X x, Y y, Z z, dX dx, dY dy, dZ dz) {
-    auto dz_e = framework::EigenVector<T>::Flatten(*dz);
-    if (dx) {
-      auto dx_e = framework::EigenVector<T>::Flatten(*dx);
-      dx_e.device(d) = dz_e;
-    }
-    if (dy) {
-      auto dy_e = framework::EigenVector<T>::Flatten(*dy);
-      dy_e.device(d) = dz_e.sum();
-    }
-  }
-};
-
 template <typename T>
 struct ElementwiseAddBroadCastGradFunctor {
   template <typename Device, typename X, typename Y, typename Z, typename dX,
@@ -142,7 +125,6 @@ class ElementwiseAddGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
     ElementwiseGradCompute<DeviceContext, T, ElementwiseAddGradFunctor<T>,
-                           ElementwiseAddOneGradFunctor<T>,
                            ElementwiseAddBroadCastGradFunctor<T>,
                            ElementwiseAddBroadCast2GradFunctor<T>>(ctx);
   }

paddle/operators/elementwise_div_op.h

@@ -107,7 +107,6 @@ class ElementwiseDivGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
     ElementwiseGradCompute<DeviceContext, T, ElementwiseDivGradFunctor<T>,
-                           ElementwiseDivGradFunctor<T>,
                            ElementwiseDivBroadCastGradFunctor<T>,
                            ElementwiseDivBroadCast2GradFunctor<T>>(ctx);
   }

paddle/operators/elementwise_mul_op.h

@@ -106,7 +106,6 @@ class ElementwiseMulGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
     ElementwiseGradCompute<DeviceContext, T, ElementwiseMulGradFunctor<T>,
-                           ElementwiseMulGradFunctor<T>,
                            ElementwiseMulBroadCastGradFunctor<T>,
                            ElementwiseMulBroadCast2GradFunctor<T>>(ctx);
   }

paddle/operators/elementwise_op_function.h

@@ -311,8 +311,7 @@ EIGEN_FUNCTOR(Mul, EIGEN_MUL);
 EIGEN_FUNCTOR(Div, EIGEN_DIV);
 
 template <typename DeviceContext, typename T, typename functor,
-          typename functor1, typename broadcastfunctor,
-          typename broadcast2functor>
+          typename broadcastfunctor, typename broadcast2functor>
 void ElementwiseGradCompute(const framework::ExecutionContext& ctx) {
   using Tensor = framework::Tensor;
 

paddle/operators/elementwise_sub_op.h

@@ -43,23 +43,6 @@ struct ElementwiseSubGradFunctor {
   }
 };
 
-template <typename T>
-struct ElementwiseSubOneGradFunctor {
-  template <typename Device, typename X, typename Y, typename Z, typename dX,
-            typename dY, typename dZ>
-  void operator()(Device d, X x, Y y, Z z, dX dx, dY dy, dZ dz) {
-    auto dz_e = framework::EigenVector<T>::Flatten(*dz);
-    if (dx) {
-      auto dx_e = framework::EigenVector<T>::Flatten(*dx);
-      dx_e.device(d) = dz_e;
-    }
-    if (dy) {
-      auto dy_e = framework::EigenVector<T>::Flatten(*dy);
-      dy_e.device(d) = (-1.0) * dz_e.sum();
-    }
-  }
-};
-
 template <typename T>
 struct ElementwiseSubBroadCastGradFunctor {
   template <typename Device, typename X, typename Y, typename Z, typename dX,
@@ -106,7 +89,6 @@ class ElementwiseSubGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
     ElementwiseGradCompute<DeviceContext, T, ElementwiseSubGradFunctor<T>,
-                           ElementwiseSubOneGradFunctor<T>,
                            ElementwiseSubBroadCastGradFunctor<T>,
                            ElementwiseSubBroadCast2GradFunctor<T>>(ctx);
   }

paddle/operators/math/CMakeLists.txt

@@ -13,6 +13,7 @@ if(WITH_GPU)
     nv_library(context_project SRCS context_project.cc context_project.cu DEPS device_context math_function)
     nv_library(sequence2batch SRCS sequence2batch.cc sequence2batch.cu DEPS device_context tensor)
     nv_library(sequence_padding SRCS sequence_padding.cc sequence_padding.cu DEPS lod_tensor device_context)
+    nv_library(sequence_scale SRCS sequence_scale.cc sequence_scale.cu DEPS lod_tensor device_context)
     nv_library(lstm_compute SRCS lstm_compute.cc lstm_compute.cu DEPS device_context activation_functions)
     nv_library(maxouting SRCS maxouting.cc maxouting.cu DEPS device_context)
     nv_library(unpooling SRCS unpooling.cc unpooling.cu DEPS device_context)
@@ -29,6 +30,7 @@ else()
     cc_library(context_project SRCS context_project.cc DEPS device_context math_function)
     cc_library(sequence2batch SRCS sequence2batch.cc DEPS device_context tensor)
     cc_library(sequence_padding SRCS sequence_padding.cc DEPS lod_tensor device_context)
+    cc_library(sequence_scale SRCS sequence_scale.cc DEPS lod_tensor device_context)
     cc_library(lstm_compute SRCS lstm_compute.cc DEPS device_context activation_functions)
     cc_library(maxouting SRCS maxouting.cc DEPS device_context)
     cc_library(unpooling SRCS unpooling.cc DEPS device_context)

paddle/operators/math/math_function_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include "paddle/operators/math/math_function.h"
 #include "gtest/gtest.h"
 

paddle/operators/math/math_function_test.cu

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include "gtest/gtest.h"
 #include "paddle/operators/math/math_function.h"
 

paddle/operators/math/sequence_scale.cc

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+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. */
+
+#include "paddle/operators/math/sequence_scale.h"
+
+namespace paddle {
+namespace operators {
+namespace math {
+
+template <typename T>
+class ScaleLoDTensorFunctor<platform::CPUDeviceContext, T> {
+ public:
+  void operator()(const platform::CPUDeviceContext& context,
+                  framework::LoDTensor& seq, const T* scales) {
+    const size_t level = 0;
+    auto lod = seq.lod();
+    const size_t num_seq = lod[level].size() - 1;
+    size_t seq_width = seq.dims()[1];
+    framework::LoD abs_offset_lod = framework::ToAbsOffset(lod);
+
+    T* seq_data = seq.mutable_data<T>(context.GetPlace());
+    for (size_t i = 0; i < num_seq; ++i) {
+      for (size_t j = lod[level][i] * seq_width;
+           j < lod[level][i + 1] * seq_width; ++j) {
+        seq_data[j] *= scales[i];
+      }
+    }
+  }
+};
+
+template class ScaleLoDTensorFunctor<platform::CPUDeviceContext, float>;
+
+}  // namespace math
+}  // namespace operators
+}  // namespace paddle

paddle/operators/math/sequence_scale.cu

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+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. */
+
+#include "paddle/operators/math/sequence_scale.h"
+#include "paddle/platform/cuda_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace math {
+
+using platform::PADDLE_CUDA_NUM_THREADS;
+
+template <typename T, int BlockSize>
+__global__ void SequenceScaleKernel(T* seq, size_t* lod, const T* scales,
+                                    const size_t seq_width) {
+  for (int i = threadIdx.x;
+       i < (lod[blockIdx.x + 1] - lod[blockIdx.x]) * seq_width;
+       i += BlockSize) {
+    int idx = lod[blockIdx.x] * seq_width + i;
+    seq[idx] *= scales[blockIdx.x];
+  }
+}
+
+template <typename T>
+class ScaleLoDTensorFunctor<platform::CUDADeviceContext, T> {
+ public:
+  void operator()(const platform::CUDADeviceContext& context,
+                  framework::LoDTensor& seq, const T* scales) {
+    const size_t level = 0;
+    auto lod = seq.lod();
+    const size_t num_seq = lod[level].size() - 1;
+    const size_t seq_width = seq.numel() / seq.dims()[0];
+    framework::LoD abs_offset_lod = framework::ToAbsOffset(lod);
+    T* seq_data = seq.mutable_data<T>(context.GetPlace());
+
+    SequenceScaleKernel<T, PADDLE_CUDA_NUM_THREADS><<<
+        num_seq, PADDLE_CUDA_NUM_THREADS, 0, context.stream()>>>(
+        seq_data, abs_offset_lod[level].data(), scales, seq_width);
+  }
+};
+
+template class ScaleLoDTensorFunctor<platform::CUDADeviceContext, float>;
+
+}  // namespace math
+}  // namespace operators
+}  // namespace paddle

paddle/operators/math/sequence_scale.h

+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+
+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. */
+
+#pragma once
+
+#include "paddle/framework/lod_tensor.h"
+#include "paddle/platform/device_context.h"
+
+namespace paddle {
+namespace operators {
+namespace math {
+
+/*
+ * \brief   Scale a sequence.
+ *
+ *  All sequences will be padded to the same length and stored in a transposed
+ * shape.
+ *  Example:
+ *    Given:
+ *      seq = (s0, s0, s0, s0; s1, s1; s2, s2, s2; s3)
+ *      scales = (2, 3, 4, 5)
+ *    then:
+ *      result = (2*s0, 2*s0, 2*s0, 2*s0; 3*s1, 3*s1; 4*s2, 4*s2, 4*s2; 5*s3)
+
+ *
+ * \param context       Device context of this functor.
+ * \param seq           LoDTensor which is stored in sequence format, the shape
+ *                      is [total_sequence_length, sequence_width] where
+ *                      total_sequence_length is the sum of all sequences'
+ *                      length.
+ * \param scales        Array<T>. The i-th sequence will be scaled by scales[i].
+ * \param num_seq       Number of sequence
+ *
+ */
+template <typename DeviceContext, typename T>
+class ScaleLoDTensorFunctor {
+ public:
+  void operator()(const DeviceContext& context, framework::LoDTensor& seq,
+                  const T* scales);
+};
+
+}  // namespace math
+}  // namespace operators
+}  // namespace paddle

paddle/operators/net_op.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
 

paddle/operators/net_op_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include "paddle/operators/net_op.h"
 
 #include <gtest/gtest.h>

paddle/operators/op_documentation/batch_norm_op.md

@@ -66,7 +66,7 @@ As most C++ operators do, `batch_norm_op` is defined by inputs, outputs, attribu
 
 The following graph showes the training computational process of `batch_norm_op`:
 
-<img src="./images/batch_norm_op_kernel.png" width="800"/>
+<img src="../images/batch_norm_op_kernel.png" width="800"/>
 
 cudnn provides APIs to finish the whole series of computation, we can use them in our GPU kernel.
 
@@ -124,7 +124,7 @@ for pass_id in range(PASS_NUM):
 `is_infer` is an attribute. Once an operator is created, its attributes can not be changed. It suggests us that we shall maintain two `batch_norm_op` in the model, one's `is_infer` is `True`(we call it `infer_batch_norm_op`) and the other one's is `False`(we call it `train_batch_norm_op`). They share all parameters and variables, but be placed in two different branches. That is to say, if a network contains a `batch_norm_op`, it will fork into two branches, one go through `train_batch_norm_op` and the other one go through `infer_batch_norm_op`:
 
 <div align=center>
-<img src="./images/batch_norm_fork.png" width="500"/>
+<img src="../images/batch_norm_fork.png" width="500"/>
 </div>
 
 Just like what is shown in the above graph, the net forks before `batch_norm_op` and will never merge again. All the operators after `batch_norm_op` will duplicate. 

paddle/operators/recv_op.cc

@@ -86,7 +86,10 @@ class RecvOp : public framework::OperatorBase {
     platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
     auto &dev_ctx = *pool.Get(dev_place);
     framework::Scope &recv_scope = scope.NewScope();
+
+    // FIXME(Yancey1989): initialize rpc server with laze mode.
     rpc_service_->SetScope(&recv_scope);
+    rpc_service_->SetDevCtx(&dev_ctx);
     auto param_list = Attr<std::vector<std::string>>("ParamList");
     auto grad_list = Attr<std::vector<std::string>>("GradList");
     auto fan_in = Attr<int>("Fanin");
@@ -124,12 +127,11 @@ class RecvOp : public framework::OperatorBase {
         // Assume grad_var_name must appear in global scope.
         std::string grad_var_name_trainer;
         if (fan_in > 1) {
-          grad_var_name_trainer = this->GetGradVarNameForTrainer(grad_var_name);
+          grad_var_name = this->GetGradVarNameForTrainer(grad_var_name);
         }
-        auto *var = recv_scope.FindVar(grad_var_name_trainer);
+        auto *var = recv_scope.FindVar(grad_var_name);
         if (var == nullptr) {
-          LOG(ERROR) << "can not find server side var: "
-                     << grad_var_name_trainer;
+          LOG(ERROR) << "can not find server side var: " << grad_var_name;
           PADDLE_THROW("can not find server side var");
         }
         detail::DeserializeFromMessage(v.second, dev_ctx, var);

paddle/operators/send_op.cc

@@ -33,24 +33,25 @@ class SendOp : public framework::OperatorBase {
       : OperatorBase(type, inputs, outputs, attrs) {}
 
   void Run(const framework::Scope& scope,
-           const platform::Place& dev_place) const override {
+           const platform::Place& place) const override {
     auto ins = Inputs("X");
     auto outs = Outputs("Out");
     std::vector<std::string> epmap = Attr<std::vector<std::string>>("epmap");
 
-    // FIXME(gongwb): DeviceContext?
-    auto ctx = platform::CPUDeviceContext();
+    platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
+    auto& ctx = *pool.Get(place);
     for (size_t i = 0; i < ins.size(); i++) {
       VLOG(3) << "sending " << ins[i];
       client_.AsyncSendVariable(epmap[i], ctx, scope, ins[i]);
     }
-    client_.Wait();
+    PADDLE_ENFORCE(client_.Wait());
 
     for (size_t i = 0; i < outs.size(); i++) {
       VLOG(3) << "getting " << outs[i];
       client_.AsyncGetVariable(epmap[i], ctx, scope, outs[i]);
     }
-    client_.Wait();
+
+    PADDLE_ENFORCE(client_.Wait());
   }
 
  private:

paddle/operators/split_op.cc

@@ -60,6 +60,12 @@ class SplitOp : public framework::OperatorWithKernel {
       }
     }
     ctx->SetOutputsDim("Out", outs_dims);
+    if (axis != 0) {
+      // Only pass LoD when not spliting along the first dim.
+      for (size_t i = 0; i < outs_number; ++i) {
+        ctx->ShareLoD("X", "Out", 0, i);
+      }
+    }
   }
 };
 

paddle/operators/warpctc_op.h

@@ -17,6 +17,7 @@ limitations under the License. */
 #include "paddle/framework/op_registry.h"
 #include "paddle/operators/math/math_function.h"
 #include "paddle/operators/math/sequence_padding.h"
+#include "paddle/operators/math/sequence_scale.h"
 #include "paddle/platform/dynload/warpctc.h"
 
 namespace paddle {
@@ -178,11 +179,14 @@ class WarpCTCKernel : public framework::OpKernel<T> {
     T* warpctc_grad_data =
         warpctc_grad->mutable_data<T>(warpctc_logits.dims(), ctx.GetPlace());
 
+    math::SetConstant<DeviceContext, T>()(
+        ctx.template device_context<DeviceContext>(), warpctc_grad,
+        static_cast<T>(0));
+
     // warpctc accesses labels in CPU memory
     Tensor warpctc_label;
     Copy(*label, platform::CPUPlace(), ctx.device_context(), &warpctc_label);
     const int* warpctc_label_data = warpctc_label.data<int>();
-
     // warpctc stores loss in CPU memory
     Tensor warpctc_loss;
     T* warpctc_loss_data =
@@ -206,11 +210,18 @@ class WarpCTCGradKernel : public framework::OpKernel<T> {
   void Compute(const framework::ExecutionContext& ctx) const override {
     auto* warpctc_grad = ctx.Input<Tensor>("WarpCTCGrad");
     auto* logits_grad = ctx.Output<LoDTensor>(framework::GradVarName("Logits"));
+    const Tensor* loss_grad = ctx.Input<Tensor>(framework::GradVarName("Loss"));
 
+    logits_grad->mutable_data<T>(ctx.GetPlace());
     bool norm_by_times = ctx.Attr<bool>("norm_by_times");
     math::UnpaddingLoDTensorFunctor<DeviceContext, T>()(
         ctx.template device_context<DeviceContext>(), *logits_grad,
         *warpctc_grad, norm_by_times);
+
+    const T* loss_grad_data = loss_grad->data<T>();
+    math::ScaleLoDTensorFunctor<DeviceContext, T>()(
+        ctx.template device_context<DeviceContext>(), *logits_grad,
+        loss_grad_data);
   }
 };
 

paddle/optimizer/lr_policy.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #pragma once
 
 #include <algorithm>

paddle/optimizer/parameter_optimizer_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
 

paddle/optimizer/serialization_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
 

paddle/optimizer/tensor.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #pragma once
 /**
  * @brief tensor used by optimizer

paddle/platform/cpu_info_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include "paddle/platform/cpu_info.h"
 #include "paddle/string/printf.h"
 

paddle/platform/hostdevice.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #pragma once
 
 #ifdef __CUDACC__

paddle/platform/place_test.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include "paddle/platform/place.h"
 #include <sstream>
 #include "gtest/gtest.h"

paddle/pybind/print_operators_doc.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 #include <iostream>
 #include <sstream>  // std::stringstream
 #include <string>

paddle/scripts/cluster_train/paddle.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/python
 # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #

paddle/scripts/cpplint.py

+#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+#
+#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.
 #!/usr/bin/env python
 #
 # Copyright (c) 2009 Google Inc. All rights reserved.

paddle/string/piece.cc

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
 

paddle/string/piece.h

+//  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
+//
+// 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.
 /*
   Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.