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

.copyright.hook

@@ -49,10 +49,15 @@ def generate_copyright(template, lang='C'):
         LANG_COMMENT_MARK = "//"
 
     lines = template.split(NEW_LINE_MARK)
-    ans = LANG_COMMENT_MARK + " " + COPYRIGHT_HEADER + NEW_LINE_MARK
+    BLANK = " "
+    ans = LANG_COMMENT_MARK + BLANK + 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
+        if len(line)  == 0:
+            BLANK = ""
+        else:
+            BLANK = " "
+        ans += LANG_COMMENT_MARK + BLANK + line + NEW_LINE_MARK
 
     return ans + "\n"
 
@@ -62,6 +67,8 @@ def lang_type(filename):
         return "Python"
     elif filename.endswith(".h"):
         return "C"
+    elif filename.endswith(".c"):
+        return "C"
     elif filename.endswith(".hpp"):
         return "C"
     elif filename.endswith(".cc"):
@@ -92,16 +99,14 @@ def main(argv=None):
 
     retv = 0
     for filename in args.filenames:
-        fd = io.open(filename)
+        fd = io.open(filename, encoding="utf-8")
         first_line = fd.readline()
-        if "COPYRIGHT" in first_line.upper(): continue
-        if filename.endswith(".py"):
         second_line = fd.readline()
+        if "COPYRIGHT (C)" in first_line.upper(): continue
         if first_line.startswith("#!") or PYTHON_ENCODE.match(
-                    second_line) != None or PYTHON_ENCODE.match(
-                        first_line) != None:
+                second_line) != None or PYTHON_ENCODE.match(first_line) != None:
             continue
-        original_contents = io.open(filename).read()
+        original_contents = io.open(filename, encoding="utf-8").read()
         new_contents = generate_copyright(
             COPYRIGHT, lang_type(filename)) + original_contents
         print('Auto Insert Copyright Header {}'.format(filename))

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
+# 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
+# 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 *
 

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
+# 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.
+# 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/imdb.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 print_function
 import six.moves.cPickle as pickle
 import gzip

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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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/openblas.cmake

@@ -100,6 +100,11 @@ IF(NOT ${CBLAS_FOUND})
                 \"${CBLAS_INSTALL_DIR}/lib -> ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}\"
             )"
         )
+        INSTALL(CODE "execute_process(
+            COMMAND rm -r ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/cmake
+                    ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/pkgconfig
+            )"
+        )
     ENDIF()
 ENDIF(NOT ${CBLAS_FOUND})
 

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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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

@@ -504,3 +504,8 @@ l2_normalize
 ------------
 ..  autofunction:: paddle.v2.fluid.layers.l2_normalize
     :noindex:
+
+sequence_reshape
+----------------
+..  autofunction:: paddle.v2.fluid.layers.sequence_reshape
+    :noindex:

doc/design/fluid.md

@@ -105,18 +105,10 @@ There are two ways to execute a Fluid program.  When a program is executed, it c
 
 There is a C++ class [`Executor`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/executor.h), which runs a `ProgramDesc`, similar to how an interpreter runs a Python program.
 
-Fluid is moving towards the direction of a compiler, which is explain in more detail later in this article.
+Fluid is moving towards the direction of a compiler, which is explain in [fluid_compiler.md](fluid_compiler.md).
 
 ## Backward Compatibility of Fluid
 
 Given all the advantages from the removal of the concept of a *model*, hardware manufacturers might still prefer the existence of the concept of a model, so it would be easier for them to support multiple frameworks all at once and could run a trained model during inference.  For example, Nervana, a startup company acquired by Intel, has been working on an XPU that reads the models in the format known as [n-graph](https://github.com/NervanaSystems/ngraph).  Similarly, [Movidius](https://www.movidius.com/) is producing a mobile deep learning chip that reads and runs graphs of operators.  The well-known [ONNX](https://github.com/onnx/onnx) is also a file format of graphs of operators.
 
 For Fluid, we can write a converter that extracts the parts in the `ProgramDesc` protobuf message, converts them into a graph of operators, and exports the graph into the ONNX or n-graph format.
-
-## Towards a Deep Learning Language and the Compiler
-
-We can change the `if-then-else` and loop structure a little bit in the above Fluid example programs, to make it into a new programming language, different than Python.
-
-Even if we do not invent a new language, as long as we get the `ProgramDesc` message filled in, we can write a transpiler, which translates each invocation to an operator, into a C++ call to a kernel function of that operator. For example, a transpiler that weaves the CUDA kernels outputs an NVIDIA-friendly C++ program, which can be built using `nvcc`.  Another transpiler could generate MKL-friendly code that should be built using `icc` from Intel.  More interestingly, we can translate a Fluid program into its distributed version of two `ProgramDesc` messages, one for running on the trainer process, and the other one for the parameter server.  For more details of the last example, the [concurrent programming design](concurrent_programming.md) document would be a good pointer.  The following figure explains the proposed two-stage process:
-
-![](fluid-compiler.png)

doc/design/fluid_compiler.md

+# PaddlePaddle Fluid: Towards a Compiled Programming Language
+
+As described in [fluid.md](fluid.md), when a Fluid application program
+runs, it generates a `ProgramDesc` protobuf message as an intermediate
+representation of itself.  The C++ class `Executor` can run this
+protobuf message as an interpreter.  This article describes the Fluid
+compiler.
+
+![](fluid-compiler.png)
+
+## ProgramDesc
+
+Before we go deeper into the idea of compiled language, let us take a
+look at a simple example Fluid application.
+
+```python
+import "fluid"
+
+func paddlepaddle() {
+  X = fluid.read(...)
+  W = fluid.Tensor(...)
+  Y = fluid.mult(X, W)
+}
+```
+
+This program consists of a [block](block.md) of three operators --
+`read`, `assign`, and `mult`.  Its `ProgramDesc` message looks like
+the following
+
+```protobuf
+message ProgramDesc {
+  block[0] = Block {
+    vars = [X, W, Y],
+    ops = [
+      read(output = X)
+      assign(input = ..., output = W)
+      mult(input = {X, W}, output = Y)
+    ],
+  }
+}
+```
+ 
+## Transpilers
+
+We can write a transpiler program that takes a `ProgramDesc`, e.g.,
+the above one, and outputs another `ProgramDesc`.  Let us take some
+examples:
+
+1. *Memory optimization transpiler*: We can write a transpiler that
+   inserts some `FreeMemoryOp`s in the above example `ProgramDesc` so
+   to free memory early, before the end of an iteration, so to keep a
+   small memory footprint.
+
+1. *Distributed training transpiler*: We can write a transpiler that
+   converts a`ProgramDesc` into its distributed version of two
+   `ProgramDesc`s -- one for running by the trainer processes and the
+   other for the parameter server.
+
+In the rest of this article, we talk about a special kind of
+transpiler, *Native code generator*, which takes a `ProgramDesc` and
+generates a `.cu` (or `.cc`) file, which could be built by C++
+compilers (gcc, nvcc, icc) into binaries.
+
+## Native Code Generator
+
+For the above example, the native code generator transpiler, say, the
+CUDA code generator, should generate a `main` function:
+
+```c++
+void main() {
+  auto X = fluid_cuda_read(...);
+  auto W = fluid_cuda_create_tensor(...);
+  auto Y = fluid_cuda_mult(X, W);
+}
+```
+
+and the definitions of functions `fluid_cuda_read`,
+`fluid_cuda_create_tensor`, and `fluid_cuda_mult`.  Please be aware
+that each function could just define a C++ instance of an operator and
+run it.  For example
+
+```c++
+paddle::Tensor fluid_cuda_read(...) {
+  paddle::Tensor t;
+  paddle::operator::Read r(&t, ...);
+  r.Run();
+  return t;
+}
+```
+
+For computational operators that have multiple *kernels*, each for a
+specific hardware platform, for example, the `mult` operator, the
+generated code should call its CUDA kernel:
+
+```c++
+paddle::Tensor fluid_cuda_mult(const paddle::Tensor& a, 
+                               const paddle::Tensor& b) {
+  paddle::Tensor t;
+  paddle::operator::Mult m(a, b, ...);
+  Mult.Run(cuda_context);
+}
+```
+
+where `cuda_context` could be a global variable of type
+`paddle::CUDADeviceContext`.
+
+## Multi-Block Code Generation
+
+Most Fluid application programs may have more than one blocks.  To
+execute them, we need to trace [scopes](scope.md).

doc/faq/local/index_cn.rst

@@ -211,3 +211,49 @@ decoder_inputs = paddle.layer.fc(
 * list 中元素的个数等于网络中输出层的个数；
 * list 中每个元素是一个layer的输出结果矩阵，类型是numpy的ndarray；
 * 每一个layer输出矩阵的高度，在非序列输入时：等于样本数；序列输入时等于：输入序列中元素的总数；宽度等于配置中layer的size；
+
+6.  如何在训练过程中获得某一个layer的output
+-----------------------------------------------
+
+可以在event_handler中，通过 :code:`event.gm.getLayerOutputs("layer_name")` 获得在模型配置中某一层的name :code:`layer_name` 在当前
+mini-batch forward的output的值。获得的值类型均为 :code:`numpy.ndarray` ，可以通过这个输出来完成自定义的评估指标计算等功能。例如下面代码：
+
+..      code-block:: python
+
+        def score_diff(right_score, left_score):
+            return np.average(np.abs(right_score - left_score))
+
+        def event_handler(event):
+            if isinstance(event, paddle.event.EndIteration):
+                if event.batch_id % 25 == 0:
+                    diff = score_diff(
+                        event.gm.getLayerOutputs("right_score")["right_score"][
+                            "value"],
+                        event.gm.getLayerOutputs("left_score")["left_score"][
+                            "value"])
+                    logger.info(("Pass %d Batch %d : Cost %.6f, "
+                                "average absolute diff scores: %.6f") %
+                                (event.pass_id, event.batch_id, event.cost, diff))
+
+注意：此方法不能获取 :code:`paddle.layer.recurrent_group` 里step的内容，但可以获取 :code:`paddle.layer.recurrent_group` 的输出。
+
+7.  如何在训练过程中获得参数的权重和梯度
+-----------------------------------------------
+
+在某些情况下，获得当前mini-batch的权重（或称作weights, parameters）有助于在训练时观察具体数值，方便排查以及快速定位问题。
+可以通过在 :code:`event_handler` 中打印其值（注意，需要使用 :code:`paddle.event.EndForwardBackward` 保证使用GPU训练时也可以获得），
+示例代码如下：
+
+..      code-block:: python
+
+        ...
+        parameters = paddle.parameters.create(cost)
+        ...
+        def event_handler(event):
+            if isinstance(event, paddle.event.EndForwardBackward):
+                if event.batch_id % 25 == 0:
+                    for p in parameters.keys():
+                        logger.info("Param %s, Grad %s",
+                            parameters.get(p), parameters.get_grad(p))
+
+注意：“在训练过程中获得某一个layer的output”和“在训练过程中获得参数的权重和梯度”都会造成训练中的数据从C++拷贝到numpy，会对训练性能造成影响。不要在注重性能的训练场景下使用。
\ No newline at end of file

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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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/faq/model/index_cn.rst

@@ -67,3 +67,14 @@
 
   * 不同于上述介绍的recurrent layer , :code:`paddle.networks.lstmemory_unit` 定义了LSTM单元在一个时间步内的计算过程，它并不是一个完整的recurrent layer，也不能接收序列数据作为输入；
   * :code:`paddle.networks.lstmemory_unit` 只能在recurrent_group中作为step function使用；
+
+5. PaddlePaddle的softmax能否指定计算的维度
+-----------------------------------------
+
+PaddlePaddle的softmax不能指定计算维度，只能按行计算。
+在图像任务中，对于NCHW，如果需要在C维度计算softmax，可以先使用 :code:`paddle.layer.switch_order` 改变维度顺序，即将NCHW转换成NHWC，再做一定的reshape，最后计算softmax。
+
+6. PaddlePaddle是否支持维数可变的数据输入
+------------------------------------------
+
+PaddlePaddle提供的 :code:`paddle.data_type.dense_array` 支持维数可变的数据输入。在使用时，将对应数据层的维数设置成一个大于输入数据维数的值用于占位即可。

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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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

doc/howto/usage/cluster/src/word2vec/prepare.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 tarfile
 import os

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
+# 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.
+# 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
+# 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.
+# 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
+# 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.
+# 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/dense/main.c

+//   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/capi.h>
 #include <time.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
+# 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.
+# 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
+# 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.
+# 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
+# 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)
-
-hidden = fc_layer(
-    input=img,
-    size=200,
-    param_attr=ParamAttr(name='hidden.w'),
-    bias_attr=ParamAttr(name='hidden.b'))
-
-prob = fc_layer(
-    input=hidden,
-    size=10,
-    act=SoftmaxActivation(),
-    param_attr=ParamAttr(name='prob.w'),
-    bias_attr=ParamAttr(name='prob.b'))
-
-outputs(prob)
+# 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.

paddle/capi/examples/model_inference/multi_thread/main.c

+//   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/capi.h>
 #include <pthread.h>
 #include <time.h>

paddle/capi/examples/model_inference/multi_thread/main_gpu.c

+//   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/capi.h>
 #include <pthread.h>
 #include <time.h>

paddle/capi/examples/model_inference/sequence/main.c

+//   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/capi.h>
 #include <time.h>
 #include "../common/common.h"

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
+# 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.
+# 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/examples/model_inference/sparse_binary/main.c

+//   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/capi.h>
 #include <time.h>
 

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
+# 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.
+# 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/framework/CMakeLists.txt

@@ -37,6 +37,7 @@ nv_test(data_device_transform_test SRCS data_device_transform_test.cu
         DEPS operator op_registry init math_function)
 
 cc_library(data_type_transform SRCS data_type_transform.cc DEPS tensor)
+cc_test(data_type_transform_test SRCS data_type_transform_test.cc DEPS data_type_transform)
 
 cc_library(data_layout_transform SRCS data_layout_transform.cc DEPS tensor math_function)
 cc_test(data_layout_transform_test SRCS data_layout_transform_test.cc DEPS data_layout_transform)

paddle/framework/data_device_transform.cc

@@ -31,7 +31,7 @@ static const platform::DeviceContext* GetDeviceContext(
   }
 }
 
-void DeviceTransform(const Tensor& in, const platform::Place& dst_place,
+void TransDataDevice(const Tensor& in, const platform::Place& dst_place,
                      Tensor* out) {
   VLOG(3) << "DeviceTransform in, src_place " << in.place()
           << " dst_place: " << dst_place;

paddle/framework/data_device_transform.h

@@ -21,7 +21,7 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 
-void DeviceTransform(const Tensor& in, const platform::Place& dst_place,
+void TransDataDevice(const Tensor& in, const platform::Place& dst_place,
                      Tensor* out);
 
 }  // namespace framework

paddle/framework/data_layout_transform.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) 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/data_layout_transform.h"
 

paddle/framework/data_layout_transform.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) 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
 

paddle/framework/data_layout_transform_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) 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/data_layout_transform.h"
 

paddle/framework/data_transform.cc

@@ -16,6 +16,7 @@ limitations under the License. */
 
 #include "paddle/framework/data_device_transform.h"
 #include "paddle/framework/data_layout_transform.h"
+#include "paddle/framework/data_type_transform.h"
 
 namespace paddle {
 namespace framework {
@@ -41,15 +42,21 @@ void DataTransform(const OpKernelType& expected_kernel_type,
     PassTensorData(&out, &in);
   }
 
+  if (expected_kernel_type.data_type_ != kernel_type_for_var.data_type_) {
+    TransDataType(kernel_type_for_var, expected_kernel_type, in, &out);
+    transformed = true;
+    PassTensorData(&out, &in);
+  }
+
   // do device transform
   if (!platform::is_same_place(kernel_type_for_var.place_,
                                expected_kernel_type.place_)) {
-    DeviceTransform(in, expected_kernel_type.place_, &out);
+    TransDataDevice(in, expected_kernel_type.place_, &out);
     transformed = true;
     PassTensorData(&out, &in);
   }
 
-  PADDLE_ENFORCE(transformed, "no transform is done, please check!");
+  PADDLE_ENFORCE(transformed, "No transform is applied, please check!");
   // get output data
   output_tensor->ShareDataWith(in);
 }

paddle/framework/data_type_transform.cc

@@ -38,14 +38,11 @@ struct CastDataType {
 
   template <typename OutType>
   void operator()() {
-    auto place = ctx_->GetPlace();
-
     auto* in_begin = in_.data<InType>();
-    auto numel = in_.numel();
-    auto* in_end = in_begin + numel;
-    auto* out_begin = out_->mutable_data<OutType>(place);
+    auto* in_end = in_begin + in_.numel();
+    auto* out_begin = out_->mutable_data<OutType>(in_.place());
 
-    if (platform::is_cpu_place(place)) {
+    if (platform::is_cpu_place(in_.place())) {
       platform::Transform<platform::CPUDeviceContext> trans;
       auto* context = static_cast<const platform::CPUDeviceContext*>(ctx_);
       trans(*context, in_begin, in_end, out_begin,
@@ -57,38 +54,31 @@ struct CastDataType {
   }
 };
 
-void TransDataType(const platform::DeviceContext* ctx,
-                   const KernelTypePair& kernel_pair, const Variable& in,
-                   Variable* out) {
-  PADDLE_ENFORCE(in.IsType<Tensor>(), "Only Support Tensor transform!.");
-  PADDLE_ENFORCE(
-      platform::places_are_same_class(kernel_pair.first.place_,
-                                      kernel_pair.second.place_),
-      "TransDataType Only Support DataType transform on same place!");
-
-  auto src = in.Get<Tensor>();
-  auto* dst = out->GetMutable<Tensor>();
+void TransDataType(const OpKernelType& kernel_type_for_var,
+                   const OpKernelType& expected_kernel_type, const Tensor& in,
+                   Tensor* out) {
+  platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
 
-  auto dims = src.dims();
-  dst->Resize(dims);
-  auto dst_type = kernel_pair.second.data_type_;
-  auto src_type = kernel_pair.first.data_type_;
+  out->Resize(in.dims());
+  auto src_type = kernel_type_for_var.data_type_;
+  auto dst_type = expected_kernel_type.data_type_;
+  auto ctx = pool.Get(in.place());
 
   switch (src_type) {
     case proto::DataType::FP32:
-      framework::VisitDataType(dst_type, CastDataType<float>(src, dst, ctx));
+      framework::VisitDataType(dst_type, CastDataType<float>(in, out, ctx));
       break;
     case proto::DataType::FP64:
-      framework::VisitDataType(dst_type, CastDataType<double>(src, dst, ctx));
+      framework::VisitDataType(dst_type, CastDataType<double>(in, out, ctx));
       break;
     case proto::DataType::INT32:
-      framework::VisitDataType(dst_type, CastDataType<int>(src, dst, ctx));
+      framework::VisitDataType(dst_type, CastDataType<int>(in, out, ctx));
       break;
     case proto::DataType::INT64:
-      framework::VisitDataType(dst_type, CastDataType<int64_t>(src, dst, ctx));
+      framework::VisitDataType(dst_type, CastDataType<int64_t>(in, out, ctx));
       break;
     case proto::DataType::BOOL:
-      framework::VisitDataType(dst_type, CastDataType<bool>(src, dst, ctx));
+      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
       break;
     default:
       PADDLE_THROW("Not support type %d", src_type);

paddle/framework/data_type_transform.h

@@ -15,6 +15,7 @@ limitations under the License. */
 #pragma once
 
 #include "paddle/framework/op_kernel_type.h"
+#include "paddle/framework/tensor.h"
 #include "paddle/framework/variable.h"
 #include "paddle/platform/device_context.h"
 
@@ -23,9 +24,9 @@ namespace framework {
 
 using KernelTypePair = std::pair<OpKernelType, OpKernelType>;
 
-void TransDataType(const platform::DeviceContext* ctx,
-                   const KernelTypePair& kernel_pair, const Variable& in,
-                   Variable* out);
+void TransDataType(const OpKernelType& kernel_type_for_var,
+                   const OpKernelType& expected_kernel_type, const Tensor& in,
+                   Tensor* out);
 
 }  // namespace framework
 }  // namespace paddle

paddle/framework/data_type_transform_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/framework/data_type_transform.h"
+
+#include "gtest/gtest.h"
+
+TEST(DataTypeTransform, CPUTransform) {
+  using namespace paddle::framework;
+  using namespace paddle::platform;
+
+  auto place = CPUPlace();
+
+  Tensor in;
+  Tensor out;
+
+  float* ptr = in.mutable_data<float>(make_ddim({2, 3}), place);
+  int data_number = 2 * 3;
+
+  for (int i = 0; i < data_number; ++i) {
+    ptr[i] = i / 3;
+  }
+
+  auto kernel_fp32 = OpKernelType(proto::DataType::FP32, place,
+                                  DataLayout::kAnyLayout, LibraryType::kPlain);
+  auto kernel_fp64 = OpKernelType(proto::DataType::FP64, place,
+                                  DataLayout::kAnyLayout, LibraryType::kPlain);
+  auto kernel_int32 = OpKernelType(proto::DataType::INT32, place,
+                                   DataLayout::kAnyLayout, LibraryType::kPlain);
+
+  TransDataType(kernel_fp32, kernel_fp64, in, &out);
+  double* out_data_double = out.data<double>();
+  for (int i = 0; i < data_number; ++i) {
+    ASSERT_EQ(out_data_double[i], static_cast<double>(i / 3));
+  }
+
+  TransDataType(kernel_fp32, kernel_int32, in, &out);
+  int* out_data_int = out.data<int>();
+  for (int i = 0; i < data_number; ++i) {
+    ASSERT_EQ(out_data_int[i], static_cast<int>(i / 3));
+  }
+}

paddle/framework/eigen_test.cc

@@ -11,18 +11,6 @@
 // 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");
-  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/eigen.h"
 #include <gtest/gtest.h>

paddle/framework/executor.cc

@@ -23,6 +23,7 @@ limitations under the License. */
 #include "paddle/framework/op_registry.h"
 #include "paddle/platform/place.h"
 
+DECLARE_bool(do_memory_benchmark);
 DEFINE_bool(check_nan_inf, false,
             "Checking whether operator produce NAN/INF or not. It will be "
             "extremely slow so please use this flag wisely.");
@@ -117,6 +118,10 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id,
     auto op = paddle::framework::OpRegistry::CreateOp(*op_desc);
     VLOG(3) << op->DebugStringEx(local_scope);
     op->Run(*local_scope, place_);
+    if (FLAGS_do_memory_benchmark) {
+      VLOG(2) << "Memory used after operator " + op->Type() + " running: "
+              << memory::memory_usage(place_);
+    }
     if (FLAGS_check_nan_inf) {
       for (auto& vname : op->OutputVars(true)) {
         auto* var = local_scope->FindVar(vname);
@@ -130,6 +135,12 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id,
   if (create_vars && create_local_scope) {
     scope->DeleteScope(local_scope);
   }
+  if (FLAGS_do_memory_benchmark) {
+    VLOG(2) << "-------------------------------------------------------";
+    VLOG(2) << "Memory used after deleting local scope: "
+            << memory::memory_usage(place_);
+    VLOG(2) << "-------------------------------------------------------";
+  }
 }
 
 }  // namespace framework

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) 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/lod_tensor.h"
 

paddle/framework/lod_tensor_test.cu

@@ -11,18 +11,6 @@
 // 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");
-  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 <cuda.h>
 #include <cuda_runtime.h>

paddle/framework/scope.cc

@@ -20,6 +20,10 @@ limitations under the License. */
 #include "paddle/framework/threadpool.h"
 #include "paddle/string/printf.h"
 
+DEFINE_bool(do_memory_benchmark, false,
+            "Doing memory benchmark. It will make deleting scope synchronized, "
+            "and add some memory usage logs");
+
 namespace paddle {
 namespace framework {
 
@@ -88,8 +92,12 @@ void Scope::DeleteScope(Scope* scope) {
   auto it = std::find(this->kids_.begin(), this->kids_.end(), scope);
   PADDLE_ENFORCE(it != this->kids_.end(), "Cannot find %p as kid scope", scope);
   this->kids_.erase(it);
-  // Make delete async.
+  // When making memory benchmark on Fluid, we have to delete scope sync.
+  if (FLAGS_do_memory_benchmark) {
+    delete scope;
+  } else {
     Async([scope] { delete scope; });
+  }
 }
 
 void Scope::Rename(const std::string& origin_name,

paddle/framework/tensor_test.cc

@@ -11,18 +11,6 @@
 // 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");
-  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/tensor.h"
 #include <gtest/gtest.h>
@@ -60,9 +48,6 @@ TEST(Tensor, DataAssert) {
   ASSERT_TRUE(caught);
 }
 
-/* following tests are not available at present
-   because Memory::Alloc() and Memory::Free() have not been ready.
-*/
 TEST(Tensor, MutableData) {
   {
     framework::Tensor src_tensor;

paddle/framework/tensor_util_test.cc

@@ -11,18 +11,6 @@
 // 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");
-  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/tensor_util.h"
 #include <gtest/gtest.h>

paddle/framework/variable.h

@@ -11,18 +11,6 @@
 // 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");
-  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 <memory>

paddle/framework/variable_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/gserver/layers/PriorBox.cpp

@@ -65,14 +65,19 @@ bool PriorBoxLayer::init(const LayerMap& layerMap,
   std::copy(pbConf.aspect_ratio().begin(),
             pbConf.aspect_ratio().end(),
             std::back_inserter(tmp));
-  // flip
-  int inputRatioLength = tmp.size();
-  for (int index = 0; index < inputRatioLength; index++) {
-    aspectRatio_.push_back(tmp[index]);
-    aspectRatio_.push_back(1 / tmp[index]);
+
+  if (maxSize_.size() > 0) CHECK_EQ(minSize_.size(), maxSize_.size());
+
+  // flip aspect ratios
+  for (int index = 0; index < tmp.size(); index++) {
+    real ar = tmp[index];
+    if (fabs(ar - 1.) < 1e-6) continue;
+    aspectRatio_.push_back(ar);
+    aspectRatio_.push_back(1. / ar);
   }
-  numPriors_ = aspectRatio_.size();
-  if (maxSize_.size() > 0) numPriors_++;
+
+  numPriors_ = aspectRatio_.size() * minSize_.size() + maxSize_.size();
+
   return true;
 }
 
@@ -99,24 +104,26 @@ void PriorBoxLayer::forward(PassType passType) {
     for (int w = 0; w < layerWidth; ++w) {
       real centerX = (w + 0.5) * stepW;
       real centerY = (h + 0.5) * stepH;
-      real minSize = 0;
       for (size_t s = 0; s < minSize_.size(); s++) {
-        // first prior.
-        minSize = minSize_[s];
+        real minSize = minSize_[s];
         real boxWidth = minSize;
         real boxHeight = minSize;
-        // xmin, ymin, xmax, ymax.
+
+        // priors with different aspect ratios
+        for (size_t r = 0; r < aspectRatio_.size(); r++) {
+          real ar = aspectRatio_[r];
+          boxWidth = minSize * sqrt(ar);
+          boxHeight = minSize / sqrt(ar);
           tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth;
           tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight;
           tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth;
           tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight;
           // set the variance.
           for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t];
+        }
 
         if (maxSize_.size() > 0) {
-          CHECK_EQ(minSize_.size(), maxSize_.size());
-          // second prior.
-          for (size_t s = 0; s < maxSize_.size(); s++) {
+          // square prior with size sqrt(minSize * maxSize)
           real maxSize = maxSize_[s];
           boxWidth = boxHeight = sqrt(minSize * maxSize);
           tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth;
@@ -128,21 +135,8 @@ void PriorBoxLayer::forward(PassType passType) {
         }
       }
     }
-      // rest of priors.
-      for (size_t r = 0; r < aspectRatio_.size(); r++) {
-        real ar = aspectRatio_[r];
-        if (fabs(ar - 1.) < 1e-6) continue;
-        real boxWidth = minSize * sqrt(ar);
-        real boxHeight = minSize / sqrt(ar);
-        tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth;
-        tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight;
-        tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth;
-        tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight;
-        // set the variance.
-        for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t];
-      }
-    }
   }
+
   // clip the prior's coordidate such that it is within [0, 1]
   for (int d = 0; d < dim * 2; ++d)
     if ((d % 8) < 4)

paddle/operators/assign_value_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) 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/assign_value_op.h"
 

paddle/operators/assign_value_op.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) 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
 

paddle/operators/compare_op.cc

@@ -39,6 +39,11 @@ N-dim tensor. X and Y could be any type.  The each element of the Out tensor is
 calculated by %s
 )DOC",
                                comment.type, comment.equation));
+    AddAttr<int>("axis",
+                 "(int, default -1). The start dimension index "
+                 "for broadcasting Y onto X.")
+        .SetDefault(-1)
+        .EqualGreaterThan(-1);
   }
 };
 
@@ -95,11 +100,5 @@ REGISTER_LOGICAL_OP(less_than, "Out = X < Y");
 REGISTER_LOGICAL_KERNEL(less_than, CPU, paddle::operators::LessThanFunctor);
 REGISTER_LOGICAL_OP(less_equal, "Out = X <= Y");
 REGISTER_LOGICAL_KERNEL(less_equal, CPU, paddle::operators::LessEqualFunctor);
-REGISTER_LOGICAL_OP(greater_than, "Out = X > Y");
-REGISTER_LOGICAL_KERNEL(greater_than, CPU,
-                        paddle::operators::GreaterThanFunctor);
-REGISTER_LOGICAL_OP(greater_equal, "Out = X >= Y");
-REGISTER_LOGICAL_KERNEL(greater_equal, CPU,
-                        paddle::operators::GreaterEqualFunctor);
 REGISTER_LOGICAL_OP(equal, "Out = X == Y");
 REGISTER_LOGICAL_KERNEL(equal, CPU, paddle::operators::EqualFunctor);

paddle/operators/compare_op.cu

@@ -16,8 +16,4 @@ limitations under the License. */
 
 REGISTER_LOGICAL_KERNEL(less_than, CUDA, paddle::operators::LessThanFunctor);
 REGISTER_LOGICAL_KERNEL(less_equal, CUDA, paddle::operators::LessEqualFunctor);
-REGISTER_LOGICAL_KERNEL(greater_than, CUDA,
-                        paddle::operators::GreaterThanFunctor);
-REGISTER_LOGICAL_KERNEL(greater_equal, CUDA,
-                        paddle::operators::GreaterEqualFunctor);
 REGISTER_LOGICAL_KERNEL(equal, CUDA, paddle::operators::EqualFunctor);

paddle/operators/compare_op.h

@@ -16,6 +16,7 @@ limitations under the License. */
 #include <math.h>
 #include <type_traits>
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/elementwise_op_function.h"
 #include "paddle/platform/transform.h"
 
 namespace paddle {
@@ -33,18 +34,6 @@ struct LessEqualFunctor {
   HOSTDEVICE bool operator()(const T& a, const T& b) const { return a <= b; }
 };
 
-template <typename T>
-struct GreaterThanFunctor {
-  using ELEM_TYPE = T;
-  HOSTDEVICE bool operator()(const T& a, const T& b) const { return a > b; }
-};
-
-template <typename T>
-struct GreaterEqualFunctor {
-  using ELEM_TYPE = T;
-  HOSTDEVICE bool operator()(const T& a, const T& b) const { return a >= b; }
-};
-
 template <typename T>
 struct EqualFunctor {
   using ELEM_TYPE = T;
@@ -65,14 +54,7 @@ class CompareOpKernel
  public:
   void Compute(const framework::ExecutionContext& context) const override {
     using T = typename Functor::ELEM_TYPE;
-    auto* x = context.Input<framework::Tensor>("X");
-    auto* y = context.Input<framework::Tensor>("Y");
-    auto* out = context.Output<framework::Tensor>("Out");
-    Functor binary_func;
-    platform::Transform<DeviceContext> trans;
-    trans(context.template device_context<DeviceContext>(), x->data<T>(),
-          x->data<T>() + x->numel(), y->data<T>(),
-          out->mutable_data<bool>(context.GetPlace()), binary_func);
+    ElementwiseComputeEx<Functor, DeviceContext, T, bool>(context);
   }
 };
 

paddle/operators/elementwise_op_function.h

@@ -176,14 +176,15 @@ class MidWiseTransformIterator<T, platform::CUDADeviceContext>
 };
 #endif
 
-template <typename Functor, typename T, typename DeviceContext>
+template <typename Functor, typename T, typename DeviceContext,
+          typename OutType = T>
 class TransformFunctor {
  public:
   TransformFunctor(const framework::Tensor* x, const framework::Tensor* y,
                    framework::Tensor* z, const DeviceContext& ctx, Functor func)
       : x_(x->data<T>()),
         y_(y->data<T>()),
-        z_(z->mutable_data<T>(ctx.GetPlace())),
+        z_(z->mutable_data<OutType>(ctx.GetPlace())),
         nx_(x->numel()),
         ctx_(ctx),
         func_(func) {}
@@ -208,7 +209,7 @@ class TransformFunctor {
  private:
   const T* x_;
   const T* y_;
-  T* z_;
+  OutType* z_;
   int64_t nx_;
   const DeviceContext& ctx_;
   Functor func_;
@@ -364,15 +365,16 @@ void ElementwiseGradCompute(const framework::ExecutionContext& ctx) {
   }
 }
 
-template <typename Functor, typename DeviceContext, typename T>
+template <typename Functor, typename DeviceContext, typename T,
+          typename OutType = T>
 void ElementwiseComputeEx(const framework::ExecutionContext& ctx) {
   using Tensor = framework::Tensor;
 
   auto* x = ctx.Input<Tensor>("X");
   auto* y = ctx.Input<Tensor>("Y");
   auto* z = ctx.Output<Tensor>("Out");
-  z->mutable_data<T>(ctx.GetPlace());
-  TransformFunctor<Functor, T, DeviceContext> functor(
+  z->mutable_data<OutType>(ctx.GetPlace());
+  TransformFunctor<Functor, T, DeviceContext, OutType> functor(
       x, y, z, ctx.template device_context<DeviceContext>(), Functor());
 
   auto x_dims = x->dims();

paddle/operators/math/matmul.h

@@ -41,10 +41,24 @@ class MatMulFunctor {
                       "Input tensor a must be at least 1-dimensional.");
     PADDLE_ENFORCE_GE(dim_b.size(), 1,
                       "Input tensor b must be at least 1-dimensional.");
-    PADDLE_ENFORCE_LE(dim_a.size(), 3,
-                      "Input tensor a must be at most 3-dimensional.");
-    PADDLE_ENFORCE_LE(dim_b.size(), 3,
-                      "Input tensor b must be at most 3-dimensional.");
+
+    std::vector<int64_t> out_dim;
+    int64_t batch_count = 1;
+    if (dim_a.size() > 3) {
+      PADDLE_ENFORCE(dim_b.size() == dim_a.size(),
+                     "The dimensions of X and Y must be the same, and both of "
+                     "them should be %d-dimensional.",
+                     dim_b.size());
+      // The first rank-2 dimensions are accumulated on the batch_count, and the
+      // last two dimensions are used for matrix multiplication.
+      for (int j = 0; j < dim_a.size() - 2; ++j) {
+        PADDLE_ENFORCE_EQ(dim_b[j], dim_a[j],
+                          "The %d-th dimension of X and Y must be the same.",
+                          j);
+        out_dim.push_back(dim_a[j]);
+        batch_count *= dim_a[j];
+      }
+    }
 
     int M = 0, N = 0, kA = 0, kB = 0, batchCountA = 0, batchCountB = 0,
         strideA = 0, strideB = 0;
@@ -67,7 +81,11 @@ class MatMulFunctor {
         strideA = M * kA;
         break;
       default:
-        assert(false);
+        batchCountA = batch_count;
+        size_t mat_s = dim_a.size() - 2;
+        M = trans_a ? dim_a[mat_s + 1] : dim_a[mat_s];
+        kA = trans_a ? dim_a[mat_s] : dim_a[mat_s + 1];
+        strideA = M * kA;
     }
 
     switch (dim_b.size()) {
@@ -88,7 +106,11 @@ class MatMulFunctor {
         strideB = kB * N;
         break;
       default:
-        assert(false);
+        batchCountB = batch_count;
+        size_t mat_s = dim_b.size() - 2;
+        kB = trans_b ? dim_b[mat_s + 1] : dim_b[mat_s];
+        N = trans_b ? dim_b[mat_s] : dim_b[mat_s + 1];
+        strideB = kB * N;
     }
 
     PADDLE_ENFORCE_EQ(

paddle/operators/math/sampler.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 "sampler.h"
+
+namespace paddle {
+namespace random {
+
+Sampler::~Sampler() {}
+
+UniformSampler::UniformSampler(int64 range)
+    : Sampler(range), inv_range_(1.0 / range) {
+  random_engine_ = std::make_shared<std::mt19937>(seed_);
+  dist_ = std::make_shared<std::uniform_int_distribution<>>(0, range);
+}
+
+UniformSampler::UniformSampler(int64 range, unsigned int seed)
+    : Sampler(range, seed), inv_range_(1.0 / range) {
+  random_engine_ = std::make_shared<std::mt19937>(seed_);
+  dist_ = std::make_shared<std::uniform_int_distribution<>>(0, range);
+}
+
+int64 UniformSampler::Sample() const { return (*dist_)(*random_engine_); }
+
+float UniformSampler::Probability(int64 value) const { return inv_range_; }
+
+LogUniformSampler::LogUniformSampler(int64 range)
+    : Sampler(range), log_range_(log(range + 1)) {
+  random_engine_ = std::make_shared<std::mt19937>(seed_);
+  dist_ = std::make_shared<std::uniform_real_distribution<>>(0, 1);
+}
+
+LogUniformSampler::LogUniformSampler(int64 range, unsigned int seed)
+    : Sampler(range, seed), log_range_(log(range + 1)) {
+  random_engine_ = std::make_shared<std::mt19937>(seed_);
+  dist_ = std::make_shared<std::uniform_real_distribution<>>(0, 1);
+}
+int64 LogUniformSampler::Sample() const {
+  // Got Log Uniform distribution from uniform distribution by
+  // inverse_transform_sampling method
+  // More details:
+  // https://wanghaoshuang.github.io/2017/11/Log-uniform-distribution-sampler/
+  const int64 value =
+      static_cast<int64>(exp((*dist_)(*random_engine_) * log_range_)) - 1;
+  // Mathematically, value should be <= range_, but might not be due to some
+  // floating point roundoff, so we mod by range_.
+  return value % range_;
+}
+
+float LogUniformSampler::Probability(int64 value) const {
+  // Given f(x) = 1/[(x+1) * log_range_]
+  // The value's  probability  is integral of f(x) from value to (value + 1)
+  // More details:
+  // https://wanghaoshuang.github.io/2017/11/Log-uniform-distribution-sampler
+  return (log((value + 2.0) / (value + 1.0))) / log_range_;
+}
+
+}  // namespace random
+}  // namespace paddle

paddle/operators/math/sampler.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 <memory>
+#include <random>
+typedef long int64;
+namespace paddle {
+namespace operators {
+namespace math {
+
+// TODO(wanghaoshuang): Support for GPU
+
+/**
+* Sample integers from [0, range).
+*/
+class Sampler {
+ public:
+  explicit Sampler(int64 range) : range_(range) {
+    PADDLE_ENFORCE_GT(range, 0);
+    std::random_device r;
+    seed_ = r();
+  }
+  explicit Sampler(int64 range, unsigned int seed)
+      : range_(range), seed_(seed) {
+    PADDLE_ENFORCE_GT(range, 0);
+  }
+  virtual ~Sampler();
+  // Sample a single value
+  virtual int64 Sample() const = 0;
+  // The probability that a single call to Sample() returns the given value.
+  virtual float Probability(int64 value) const = 0;
+
+  int64 range() { return range_; };
+
+ protected:
+  const int64 range_;
+  unsigned int seed_;
+};
+
+/**
+ * Sample integers from [0, range).
+ * And the distribution function is:
+ * P(x) = 1 / range
+ */
+class UniformSampler : public Sampler {
+ public:
+  explicit UniformSampler(int64 range);
+
+  explicit UniformSampler(int64 range, unsigned int seed);
+
+  ~UniformSampler() override {}
+
+  int64 Sample() const override;
+
+  float Probability(int64 value) const override;
+
+ private:
+  const float inv_range_;
+  std::shared_ptr<std::mt19937_64> random_engine_;
+  std::shared_ptr<std::uniform_int_distribution<>> dist_;
+};
+
+/**
+ * Sample integers from [0, range).
+ * And the distribution function is:
+ * P(x) = (1/ln(range+1)) * ln(1 + 1/(x + 1))
+ */
+class LogUniformSampler : public Sampler {
+ public:
+  explicit LogUniformSampler(int64 range);
+
+  explicit LogUniformSampler(int64 range, unsigned int seed);
+
+  ~LogUniformSampler() override {}
+
+  int64 Sample() const override;
+
+  float Probability(int64 value) const override;
+
+ private:
+  const float log_range_;
+  std::shared_ptr<std::mt19937_64> random_engine_;
+  std::shared_ptr<std::uniform_real_distribution<>> dist_;
+};
+
+}  // math
+}  // namespace operators
+}  // namespace paddle

paddle/operators/matmul_op.cc

@@ -41,10 +41,26 @@ class MatMulOp : public framework::OperatorWithKernel {
                       "Input tensor X must be at least 1-dimensional.");
     PADDLE_ENFORCE_GE(dim_y.size(), 1,
                       "Input tensor Y must be at least 1-dimensional.");
-    PADDLE_ENFORCE_LE(dim_x.size(), 3,
-                      "Input tensor X must be at most 3-dimensional.");
-    PADDLE_ENFORCE_LE(dim_y.size(), 3,
-                      "Input tensor Y must be at most 3-dimensional.");
+
+    std::vector<int64_t> out_dim;
+    int64_t batch_count = 1;
+    if (dim_x.size() > 3) {
+      PADDLE_ENFORCE_EQ(
+          dim_y.size(), dim_x.size(),
+          "The dimensions of X and Y must be the same, and both of "
+          "them should be %d-dimensional.",
+          dim_x.size());
+
+      // The first rank-2 dimensions are accumulated on the batch_count, and the
+      // last two dimensions are used for matrix multiplication.
+      for (int j = 0; j < dim_x.size() - 2; ++j) {
+        PADDLE_ENFORCE_EQ(dim_y[j], dim_x[j],
+                          "The %d-th dimension of X and Y must be the same.",
+                          j);
+        out_dim.push_back(dim_x[j]);
+        batch_count *= dim_x[j];
+      }
+    }
 
     int M = 0, N = 0, KX = 0, KY = 0, batchCountX = 0, batchCountY = 0;
     bool remove_initial_dim = false, remove_final_dim = false;
@@ -70,7 +86,11 @@ class MatMulOp : public framework::OperatorWithKernel {
         KX = transpose_x ? dim_x[1] : dim_x[2];
         break;
       default:
-        assert(false);
+        batchCountX = batch_count;
+        size_t mat_s = dim_x.size() - 2;
+        M = transpose_x ? dim_x[mat_s + 1] : dim_x[mat_s];
+        KX = transpose_x ? dim_x[mat_s] : dim_x[mat_s + 1];
+        break;
     }
 
     switch (dim_y.size()) {
@@ -94,7 +114,10 @@ class MatMulOp : public framework::OperatorWithKernel {
         N = transpose_y ? dim_y[1] : dim_y[2];
         break;
       default:
-        assert(false);
+        batchCountY = batch_count;
+        size_t mat_s = dim_y.size() - 2;
+        KY = transpose_y ? dim_y[mat_s + 1] : dim_y[mat_s];
+        N = transpose_y ? dim_y[mat_s] : dim_y[mat_s + 1];
     }
 
     PADDLE_ENFORCE_EQ(
@@ -110,8 +133,12 @@ class MatMulOp : public framework::OperatorWithKernel {
 
     std::vector<int64_t> dim_out;
     if (batchCount) {
+      if (dim_x.size() > 3) {
+        dim_out.insert(dim_out.begin(), out_dim.begin(), out_dim.end());
+      } else {
         dim_out.push_back(batchCount);
       }
+    }
     if (!remove_initial_dim) {
       dim_out.push_back(M);
     }
@@ -162,10 +189,14 @@ Examples without transpose:
 - X: [B, M, K], Y: [K] => Out: [B, M]
 - X: [M, K], Y: [B, K, N] => Out: [B, M, N]
 - X: [B, M, K], Y: [B, K, N] => Out: [B, M, N]
+- X: [B, ..., M, K], Y: [B, ..., K, N] => Out: [B, ..., M, N]
 
 The behavior is designed to be similar to the `numpy.matmul` function.
 The differences are:
-- Currently only rank 1 to rank 3 input tensors are supported.
+- When the rank of the input data is less than or equal to 3, it
+  is similar to the `numpy.matmul` function.
+- When the rank of the input is greater than 3, the rank of X and
+  Y must be equal, and the first `rank - 2` dimensions must be equal.
 - We add `transpose_X` and `transpose_Y` flags.
 
 Both the input `X` and `Y` can carry the LoD (Level of Details) information,

paddle/operators/matmul_op.h

@@ -137,6 +137,13 @@ class MatMulGradKernel : public framework::OpKernel<T> {
       y_dims.push_back(1);
     }
 
+    int batch_count = 0;
+    // The first rank-2 dimensions are accumulated on the batch_count, and the
+    // last two dimensions are used for matrix multiplication.
+    if (x_dims.size() > 3) {
+      batch_count = accumulate(x_dims.begin(), x_dims.end() - 2, 1,
+                               std::multiplies<int>());
+    }
     // Fix the dOut dimensions.
     int M = 0, N = 0, batchCountX = 0, batchCountY = 0;
 
@@ -149,7 +156,9 @@ class MatMulGradKernel : public framework::OpKernel<T> {
         M = transpose_x ? x_dims[2] : x_dims[1];
         break;
       default:
-        assert(false);
+        batchCountX = batch_count;
+        size_t mat_s = x_dims.size() - 2;
+        M = transpose_x ? x_dims[mat_s + 1] : x_dims[mat_s];
     }
 
     switch (y_dims.size()) {
@@ -161,7 +170,9 @@ class MatMulGradKernel : public framework::OpKernel<T> {
         N = transpose_y ? y_dims[1] : y_dims[2];
         break;
       default:
-        assert(false);
+        batchCountY = batch_count;
+        size_t mat_s = y_dims.size() - 2;
+        N = transpose_y ? y_dims[mat_s] : y_dims[mat_s + 1];
     }
     if (batchCountX && batchCountY) {
       PADDLE_ENFORCE_EQ(
@@ -172,8 +183,12 @@ class MatMulGradKernel : public framework::OpKernel<T> {
     int batchCount = std::max(batchCountX, batchCountY);
     std::vector<int64_t> dout_dims = {M, N};
     if (batchCount) {
+      if (x_dims.size() > 3) {
+        dout_dims.insert(dout_dims.begin(), x_dims.begin(), x_dims.end() - 2);
+      } else {
         dout_dims.insert(dout_dims.begin(), batchCount);
       }
+    }
     Tensor X = Reshape<T>(x, make_ddim(x_dims));
     Tensor Y = Reshape<T>(y, make_ddim(y_dims));
     Tensor dOut = Reshape<T>(dout, make_ddim(dout_dims));

paddle/operators/net_op.cc

@@ -11,21 +11,6 @@
 // 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");
-  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 <set>

paddle/operators/recv_op.cc

@@ -34,9 +34,7 @@ limitations under the License. */
 namespace paddle {
 namespace operators {
 
-constexpr int kCondStart = 0;
-constexpr int kCondRunning = 1;
-constexpr int kCondDone = 2;
+constexpr char kOptimizeBlock[] = "OptimizeBlock";
 
 void RunServer(std::shared_ptr<detail::AsyncGRPCServer> service) {
   service->RunSyncUpdate();
@@ -99,15 +97,13 @@ class RecvOp : public framework::OperatorBase {
     auto fan_in = Attr<int>("Fanin");
     size_t param_count = param_list.size();
 
-    std::string program_str = Attr<std::string>("OptimizeProgram");
-    framework::proto::ProgramDesc program_desc;
-    program_desc.ParseFromString(program_str);
-    framework::ProgramDesc program(program_desc);
+    auto *block = Attr<framework::BlockDesc *>(kOptimizeBlock);
+    auto *program = block->Program();
     framework::Executor executor(dev_place);
 
     // TODO(typhoonzero): change this to a while_op for every cluster-batch.
     bool exit_flag = false;
-    int64_t barrier_size = param_count * fan_in;
+    size_t barrier_size = param_count * fan_in;
     while (!exit_flag) {
       // Get from multiple trainers, we don't care about the order in which
       // the gradients arrives, just add suffix 0~n and merge the gradient.
@@ -142,8 +138,9 @@ class RecvOp : public framework::OperatorBase {
       if (exit_flag) {
         break;
       }
+
       try {
-        executor.Run(program, &recv_scope, 0, /*global_block*/
+        executor.Run(*program, &recv_scope, block->ID(), /*global_block*/
                      false /*create_local_scope*/, false /*create_vars*/);
       } catch (std::exception &e) {
         LOG(ERROR) << "run sub program error " << e.what();
@@ -175,8 +172,8 @@ This operator will recv tensor from send_op
                          "IP address to listen on.")
         .SetDefault("127.0.0.1:6164")
         .AddCustomChecker([](const std::string &ip) { return !ip.empty(); });
-    AddAttr<std::string>("OptimizeProgram", "type string",
-                         "Serialized ProgramDesc string for recv to run.");
+    AddAttr<framework::BlockDesc *>(
+        kOptimizeBlock, "Serialized ProgramDesc string for recv to run.");
     AddAttr<std::vector<std::string>>(
         "ParamList", "type list of string",
         "grad->param name mapping to find which param to optimize.")

paddle/operators/scale_op.cc

@@ -48,7 +48,7 @@ Scale operator
 $$Out = scale*X$$
 )DOC");
     AddAttr<AttrType>("scale",
-                      "(float, default 0)"
+                      "(float, default 1.0)"
                       "The scaling factor of the scale operator.")
         .SetDefault(1.0);
   }

paddle/operators/send_op.cc

@@ -66,7 +66,7 @@ class SendOpMaker : public framework::OpProtoAndCheckerMaker {
     AddOutput("Out", "(Tensor) Output tensor to get from server")
         .AsDuplicable();
     AddComment(R"DOC(
-Recv operator
+Send operator
 
 This operator will send tensor to recv_op.
 )DOC");

paddle/operators/send_recv_op_test.cc

@@ -130,10 +130,7 @@ void StartServerNet(bool is_sparse) {
   attrs.insert({"endpoint", std::string("127.0.0.1:6174")});
   attrs.insert({"ParamList", std::vector<std::string>({"Out"})});
   attrs.insert({"GradList", std::vector<std::string>({"x1"})});
-  std::string program_proto;
-  PADDLE_ENFORCE(program.Proto()->SerializeToString(&program_proto));
-
-  attrs.insert({"OptimizeProgram", program_proto});
+  attrs.insert({"OptimizeBlock", block});
   recv_op = f::OpRegistry::CreateOp("recv", {{"RX", {"x1"}}}, {}, attrs);
   recv_op->Run(scope, place);
 }

paddle/operators/sequence_reshape_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) 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/sequence_reshape_op.h"
 #include "paddle/framework/ddim.h"

paddle/operators/sequence_reshape_op.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) 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 "paddle/framework/op_registry.h"

paddle/operators/split_selected_rows_op.cc

@@ -23,8 +23,6 @@ class SplitSelectedRowsOpMaker : public framework::OpProtoAndCheckerMaker {
       : OpProtoAndCheckerMaker(proto, op_checker) {
     AddInput("X", "The input SelectedRows.");
     AddOutput("Out", "The outputs of input SelectedRows.").AsDuplicable();
-    AddAttr<std::vector<int>>("rows_sections", "Rows section for output.")
-        .SetDefault(std::vector<int>({}));
     AddAttr<std::vector<int>>("height_sections",
                               "Height for each output SelectedRows.")
         .SetDefault(std::vector<int>({}));
@@ -35,16 +33,16 @@ height_sections is only needed when need to split the dims of the original tenso
 
 Example:
   Input:
-    X.rows = {0, 7, 5}
+    X.rows = {7, 5}
     X.height = 12
   Attr:
-    rows_sections = {1, 2}
-    height_sections = {}
+    height_sections = {4, 8}
   Out:
-    out0.rows = {0}
-    out0.height = 12
-    out1.rows = {7, 5}
-    out2.height = 12
+    out0.rows = {}
+    out0.height = 4
+
+    out1.rows = {5, 7}
+    out2.height = 8
 
 )DOC");
   }
@@ -61,11 +59,6 @@ class SplitSelectedRowsOp : public framework::OperatorWithKernel {
 
     std::vector<int> height_sections =
         ctx->Attrs().Get<std::vector<int>>("height_sections");
-    std::vector<int> rows_sections =
-        ctx->Attrs().Get<std::vector<int>>("rows_sections");
-    PADDLE_ENFORCE_EQ(
-        rows_sections.size(), ctx->Outputs("Out").size(),
-        "The size of rows section should be the same with Outputs size.");
     int64_t n = ctx->Outputs("Out").size();
 
     std::vector<framework::DDim> outs_dims;

paddle/operators/split_selected_rows_op.h

@@ -16,40 +16,70 @@ limitations under the License. */
 
 #include <vector>
 #include "paddle/framework/op_registry.h"
+#include "paddle/operators/math/selected_rows_functor.h"
 
 namespace paddle {
 namespace operators {
 
+static int FindOutIdx(int row, const std::vector<int>& height_sections) {
+  int offset = 0;
+  for (size_t i = 0; i < height_sections.size(); ++i) {
+    if (row >= offset && row < (offset + height_sections[i])) {
+      return i;
+    }
+    offset += height_sections[i];
+  }
+  return -1;
+}
+
 template <typename DeviceContext, typename T>
 class SplitSelectedRowsOpKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
     auto* x = ctx.Input<framework::SelectedRows>("X");
     auto outs = ctx.MultiOutput<framework::SelectedRows>("Out");
-
-    auto rows_sections = ctx.Attr<std::vector<int>>("rows_sections");
     auto height_sections = ctx.Attr<std::vector<int>>("height_sections");
 
-    int64_t n = outs.size();
-    int offset = 0;
+    auto x_rows = x->rows();
+    std::vector<std::vector<int>> outs_rows_idx;
+    outs_rows_idx.resize(outs.size());
+
+    auto row_numel = x->value().numel() / x->value().dims()[0];
+    auto src = x->value().data<T>();
 
-    for (int64_t i = 0; i < n; ++i) {
-      framework::Vector<int64_t> out_rows;
-      for (int64_t j = 0; j < rows_sections[i]; ++j) {
-        out_rows.push_back(x->rows()[offset + j]);
+    for (size_t i = 0; i < x_rows.size(); ++i) {
+      int out_idx = FindOutIdx(x_rows[i], height_sections);
+      outs_rows_idx[out_idx].push_back(i);
     }
+    auto place = ctx.GetPlace();
 
-      auto& out = outs[i];
-      auto x_dims = x->GetCompleteDims();
-      x_dims[0] = rows_sections[i];
-      out->mutable_value()->mutable_data<T>(x_dims, ctx.GetPlace());
-      framework::Copy(x->value().Slice(offset, rows_sections[i] + offset),
-                      x->place(), ctx.device_context(), out->mutable_value());
-      outs[i]->set_rows(out_rows);
-      if (height_sections.size()) {
-        outs[i]->set_height(height_sections[i]);
+    for (size_t i = 0; i < outs_rows_idx.size(); ++i) {
+      auto rows_idx = outs_rows_idx[i];
+      if (rows_idx.size() > 0) {
+        auto dims = x->GetCompleteDims();
+        dims[0] = rows_idx.size();
+        outs[i]->mutable_value()->mutable_data<T>(dims, x->place());
+        for (auto idx : rows_idx) {
+          outs[i]->mutable_rows()->push_back(x_rows[idx]);
+        }
+        auto dst = outs[i]->mutable_value()->mutable_data<T>(ctx.GetPlace());
+        for (size_t j = 0; j < rows_idx.size(); j++) {
+          if (platform::is_cpu_place(place)) {
+            memory::Copy(platform::CPUPlace(), dst + j * row_numel,
+                         platform::CPUPlace(), src + rows_idx[j] * row_numel,
+                         sizeof(T) * row_numel);
+          } else {
+#ifdef PADDLE_WITH_CUDA
+            auto stream = ctx.cuda_device_context().stream();
+            memory::Copy(platform::CUDAPlace(), dst + j * row_numel,
+                         platform::CUDAPlace(), src + rows_idx[j] * row_numel,
+                         sizeof(T) * row_numel, stream);
+#else
+            PADDLE_THROW("Paddle is not compiled with GPU");
+#endif
+          }
+        }
       }
-      offset += rows_sections[i];
     }
   }
 };

paddle/optimizer/parameter_optimizer_test.cc

@@ -11,21 +11,6 @@
 // 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");
-  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 "parameter_optimizer.h"
 #include <cmath>

paddle/optimizer/serialization.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/optimizer/serialization_test.cc

@@ -11,21 +11,6 @@
 // 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");
-  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 "serialization.h"
 #include "gtest/gtest.h"

paddle/platform/assert.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
 
 #define STRINGIFY(x) #x

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
 #
@@ -93,168 +80,3 @@ def job_prepare(jobdir, data=None):
             #create job dir
             run('rm ' + jobdir + ' -fr && ' + 'mkdir -p ' + jobdir)
             #push data and paddle bin
-            put(data + "/*", jobdir)
-            run("mkdir -p " + log)
-        run('rm -fr ' + log + "/*")
-
-    def set_nodefile(nodeid):
-        '''
-        create nodefile for later usage
-        '''
-        run('echo ' + str(nodeid) + ' > ' + jobdir + '/nodefile')
-
-    execute(job_create_workspace, jobdir, data, hosts=conf.HOSTS)
-    for i in xrange(len(conf.HOSTS)):
-        execute(set_nodefile, i, hosts=conf.HOSTS[i])
-    #clean rubbish caused by exception 
-    with settings(warn_only=True):
-        execute(kill_process, hosts=conf.HOSTS)
-
-
-def job_pserver(jobdir, pids=None):
-    '''
-    start all pservers
-    '''
-    pargs = " --num_gradient_servers=" + str(len(conf.HOSTS))
-    pargs += (" --nics=" + conf.PADDLE_NIC)
-    pargs += " --port=" + str(conf.PADDLE_PORT)
-    pargs += " --ports_num=" + str(conf.PADDLE_PORTS_NUM)
-    #always start sparse pserver by default
-    pargs += " --ports_num_for_sparse=" + str(conf.PADDLE_PORTS_NUM_FOR_SPARSE)
-    pargs += " --comment=" + "paddle_process_by_paddle"
-
-    def start_pserver(jobdir, pargs):
-        '''
-        start pserver process with fabric executor
-        '''
-        with prefix('export LD_LIBRARY_PATH=' + \
-                conf.LD_LIBRARY_PATH + \
-                ':$LD_LIBRARY_PATH'):
-            program = 'paddle pserver'
-            run('cd ' + jobdir + '; '  + \
-                'GLOG_logtostderr=0 GLOG_log_dir="./log" ' + \
-                'nohup ' + \
-                program + " " + pargs + ' > ./log/server.log 2>&1 < /dev/null & ',
-                pty=False)
-
-    execute(start_pserver, jobdir, pargs, hosts=conf.HOSTS)
-
-
-def job_trainer(jobdir, train_args_dict, pids=None):
-    '''
-    start paddle trainer
-    '''
-    args = " --num_gradient_servers=" + str(len(conf.HOSTS))
-    args += " --nics=" + conf.PADDLE_NIC
-    args += " --port=" + str(conf.PADDLE_PORT)
-    args += " --ports_num=" + str(conf.PADDLE_PORTS_NUM)
-    args += " --comment=" + "paddle_process_by_paddle"
-    ip_string = ""
-    for i in xrange(len(conf.HOSTS)):
-        host = conf.HOSTS[i]
-        left = host.find("@")
-        right = host.find(':')
-        left = 0 if left == -1 else left + 1
-        right = len(host) if right == -1 else right
-        ip_string += (socket.gethostbyname(host[left:right]) + ",")
-    ip_string = ip_string.rstrip(",")
-    args += " --pservers=" + ip_string
-
-    args_ext = ""
-    for key, value in train_args_dict.items():
-        args_ext += (' --' + key + '=' + value)
-    args += " " + args_ext
-
-    def start_trainer(jobdir, args):
-        '''
-        start trainer process with fabric executor
-        '''
-        with prefix('export LD_LIBRARY_PATH=' + \
-                conf.LD_LIBRARY_PATH + \
-                ':$LD_LIBRARY_PATH'):
-            program = 'paddle train'
-            run('cd ' + jobdir + '; '  + \
-                'GLOG_logtostderr=0 '
-                'GLOG_log_dir="./log" '
-                'nohup ' + \
-                program + " " + args + " > ./log/train.log 2>&1 < /dev/null & ",
-                pty=False)
-
-    for i in xrange(len(conf.HOSTS)):
-        train_args = copy.deepcopy(args)
-        train_args += " --trainer_id=" + str(i)
-        execute(start_trainer, jobdir, train_args, hosts=conf.HOSTS[i])
-
-
-def job_all(job_package, jobdir=None, train_args_dict=None):
-    '''
-    param job_package
-    param train_args_dict
-    '''
-    if jobdir is None:
-        timestamp = time.strftime("%Y%m%d%H%M%S", time.localtime())
-        jobdir = conf.ROOT_DIR + "/JOB" + timestamp
-    job_prepare(jobdir, job_package)
-    job_pserver(jobdir)
-    time.sleep(5)  #wait until pservers completely start
-    job_trainer(jobdir, train_args_dict)
-    job_clean()
-
-
-def job_clean():
-    '''
-    if starting job failed from paddle internal, the framework always
-    is launched successfully since these process are daemon processes.
-    so this job_clean can alway clean job rubbish process with ctrl+c.
-    '''
-
-    def signal_handler(signal, frame):
-        '''
-        SIGINT handler
-        '''
-
-        def kill_process():
-            run("ps aux \
-                  | grep paddle_process_by_paddle \
-                  | grep -v grep  \
-                  | awk '{print $2}' \
-                  | xargs kill > /dev/null 2>&1")
-
-        with settings(warn_only=True):
-            execute(kill_process, hosts=conf.HOSTS)
-
-    signal.signal(signal.SIGINT, signal_handler)
-    signal.pause()
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(
-        prog="paddle.py", description='simple tool for cluster training')
-    parser.add_argument(
-        '-j',
-        '--job_workspace',
-        required=False,
-        default=None,
-        help='job workspace')
-    parser.add_argument(
-        '-p',
-        '--job_dispatch_package',
-        required=False,
-        default=None,
-        help='job package for dispatching to all other nodes')
-
-    args, train_args_list = parser.parse_known_args()
-    train_args = refine_unknown_args(train_args_list)
-    train_args_dict = dict(zip(train_args[:-1:2], train_args[1::2]))
-
-    if args.job_workspace is not None:
-        #if assigned workspace, do not need to dispatch data,
-        #so job_local_package should be None
-        assert args.job_dispatch_package is None
-        job_all(None, args.job_workspace, train_args_dict)
-    elif args.job_dispatch_package is not None:
-        assert args.job_workspace is None
-        assert os.path.isdir(args.job_dispatch_package)
-        job_all(args.job_dispatch_package, None, train_args_dict)
-    else:
-        print "--job_workspace or --job_dispatch_package should be set"

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

@@ -11,21 +11,6 @@
 // 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");
-  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/string/piece.h"
 

paddle/string/piece.h

@@ -11,21 +11,6 @@
 // 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");
-  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
 

paddle/string/piece_test.cc

@@ -11,21 +11,6 @@
 // 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");
-  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/string/piece.h"