diff --git a/.copyright.hook b/.copyright.hook index e28e88e2664b25b5aecce6660470c485b20a1a6e..de97ce90ac4a80d8d0532ea8898385b2e5781ce0 100644 --- a/.copyright.hook +++ b/.copyright.hook @@ -90,7 +90,7 @@ def main(argv=None): retv = 0 for filename in args.filenames: first_line = io.open(filename).readline() - if "Copyright" in first_line: continue + if "COPYRIGHT" in first_line.upper() : continue original_contents = io.open(filename).read() new_contents = generate_copyright( COPYRIGHT, lang_type(filename)) + original_contents diff --git a/benchmark/tensorflow/image/googlenet_multi_gpu.py b/benchmark/tensorflow/image/googlenet_multi_gpu.py index 31466faa37c47c66e4fe4628e28c867875e89f2e..44de3800a8a42d90debae2c567795789f3eb0a7d 100644 --- a/benchmark/tensorflow/image/googlenet_multi_gpu.py +++ b/benchmark/tensorflow/image/googlenet_multi_gpu.py @@ -1,3 +1,16 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +#Licensed under the Apache License, Version 2.0 (the "License"); +#you may not use this file except in compliance with the License. +#You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, software +#distributed under the License is distributed on an "AS IS" BASIS, +#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +#See the License for the specific language governing permissions and +#limitations under the License. from six.moves import xrange # pylint: disable=redefined-builtin from datetime import datetime import math diff --git a/doc/getstarted/concepts/src/infer.py b/doc/getstarted/concepts/src/infer.py index 4cc58dfee0bd6dade0340b4fd0ee1adb49ffebf6..ee71cd7a9a4fbddb93fa3aa2d9349f01f3673982 100644 --- a/doc/getstarted/concepts/src/infer.py +++ b/doc/getstarted/concepts/src/infer.py @@ -1,3 +1,16 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +#Licensed under the Apache License, Version 2.0 (the "License"); +#you may not use this file except in compliance with the License. +#You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, software +#distributed under the License is distributed on an "AS IS" BASIS, +#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +#See the License for the specific language governing permissions and +#limitations under the License. import paddle.v2 as paddle import numpy as np diff --git a/paddle/operators/op_documentation/batch_norm_op.md b/paddle/operators/op_documentation/batch_norm_op.md index 80948adf2b9047a9685dbdd90b2296b5a955f9c1..d1392619c42d9206bf4bddcd33ad11b033e6cbdb 100644 --- a/paddle/operators/op_documentation/batch_norm_op.md +++ b/paddle/operators/op_documentation/batch_norm_op.md @@ -66,7 +66,7 @@ As most C++ operators do, `batch_norm_op` is defined by inputs, outputs, attribu The following graph showes the training computational process of `batch_norm_op`: - + cudnn provides APIs to finish the whole series of computation, we can use them in our GPU kernel. @@ -124,7 +124,7 @@ for pass_id in range(PASS_NUM): `is_infer` is an attribute. Once an operator is created, its attributes can not be changed. It suggests us that we shall maintain two `batch_norm_op` in the model, one's `is_infer` is `True`(we call it `infer_batch_norm_op`) and the other one's is `False`(we call it `train_batch_norm_op`). They share all parameters and variables, but be placed in two different branches. That is to say, if a network contains a `batch_norm_op`, it will fork into two branches, one go through `train_batch_norm_op` and the other one go through `infer_batch_norm_op`:
- +
Just like what is shown in the above graph, the net forks before `batch_norm_op` and will never merge again. All the operators after `batch_norm_op` will duplicate. diff --git a/python/paddle/v2/fluid/layers/nn.py b/python/paddle/v2/fluid/layers/nn.py index cfa60d2924a6af4fb8081e2b90853e262d95ff0e..073d3db8109d6aa40cfa8362af71c9730142540f 100644 --- a/python/paddle/v2/fluid/layers/nn.py +++ b/python/paddle/v2/fluid/layers/nn.py @@ -1679,7 +1679,7 @@ def l2_normalize(x, axis, epsilon=1e-12, name=None): # TODO(caoying) the current elementwise_mul operator does not support a # general broadcast rule which broadcasts input(Y) to have the same # dimension with Input(X) starting from a specified dimension. So this - # exanpsion is requred. Once a general broadcast relu is spported, this + # exanpsion is requred. Once a general broadcast rule is spported, this # expanding canbe removed. rsquare_expanded = helper.create_tmp_variable(dtype=x.dtype) expand_times = [1] * len(x.shape) diff --git a/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py b/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py index 9b138a6207f760ddfbfa3ad70dfa7e7875727901..d6878f0b6d07b74612dd47794e254e4d7d98a124 100644 --- a/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py +++ b/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py @@ -1,3 +1,16 @@ +# 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 unittest import paddle.v2 as paddle import paddle.v2.fluid.core as core