提交 1f36a4c2 编写于 作者: F fengjiayi

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

*.pyc
train.log
output
data/cifar-10-batches-py/
data/cifar-10-python.tar.gz
data/*.txt
data/*.list
data/mean.meta
......@@ -6,13 +6,13 @@
.. todo::
概述
.. toctree::
:maxdepth: 2
image_classification/index.md
word2vec/index.md
recommender_system/index.md
understand_sentiment/index.md
label_semantic_roles/index.md
machine_translation/index.md
image_classification/README.cn.md
word2vec/README.cn.md
recommender_system/README.cn.md
understand_sentiment/README.cn.md
label_semantic_roles/README.cn.md
machine_translation/README.cn.md
data/train.list
data/test.*
data/conll05st-release.tar.gz
data/conll05st-release
data/predicate_dict
data/label_dict
data/word_dict
data/emb
data/feature
output
predict.res
train.log
data/wmt14
data/pre-wmt14
pretrained/wmt14_model
gen.log
gen_result
train.log
dataprovider_copy_1.py
*.pyc
multi-bleu.perl
data/aclImdb
data/imdb
data/pre-imdb
data/mosesdecoder-master
*.log
model_output
dataprovider_copy_1.py
model.list
*.pyc
.DS_Store
data/train.list
data/test.list
data/simple-examples*
......@@ -57,7 +57,28 @@ paddlepaddle-gpu==0.11.0 使用CUDA 7.5和cuDNN 5编译的0.11.0版
您可以在 `Release History <https://pypi.org/project/paddlepaddle-gpu/#history>`_
中找到paddlepaddle-gpu的各个发行版本。
如果需要获取并安装最新的PaddlePaddle开发分支,可以从我们的 `CI系统 <https://paddleci.ngrok.io/project.html?projectId=Manylinux1&tab=projectOverview>`_ 中下载最新的whl安装包和c-api开发包并安装。如需登录,请点击“Log in as guest”。
如果需要获取并安装最新的(开发分支)PaddlePaddle,可以从我们的CI系统中下载最新的whl
安装包和c-api开发包并安装,您可以从下面的表格中找到需要的版本:
如果在点击下面链接时出现如下登陆界面,点击“Log in as guest”即可开始下载:
.. image:: paddleci.png
:scale: 50 %
:align: center
.. csv-table:: 各个版本最新的whl包
:header: "版本说明", "cp27-cp27mu", "cp27-cp27m"
:widths: 1, 3, 3
"stable_cuda9.0_cudnn7", "`paddlepaddle_gpu-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/ee/ee/5d96e99d4a6d57bd1a7a8c4c98124a5ba0f6f0e07f38f4cee1365e0d9734/paddlepaddle_gpu-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/2e/65/3c1e44417dfc4afc7004f4db06789876b1237a0b6b234e0bd4213f3258b7/paddlepaddle_gpu-0.14.0-cp27-cp27m-manylinux1_x86_64.whl>`__"
"stable_cuda8.0_cudnn7", "`paddlepaddle_gpu-0.14.0.post87-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/a1/eb/261d920ede38d4b2b8dfb5817d7f7d25c526b1a70260f23312ad6029c0d3/paddlepaddle_gpu-0.14.0.post87-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0.post87-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/54/1d/2c2a5c8665634b47fa925839108752611202a7c08ba4d65c2ee79f825a0e/paddlepaddle_gpu-0.14.0.post87-cp27-cp27m-manylinux1_x86_64.whl>`__"
"stable_cuda8.0_cudnn5", "`paddlepaddle_gpu-0.14.0.post85-cp27-cp27mu-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/60/50/94d16d34976f06b3cd8818d9b7bf40a9ff16bc48120ac9254d976f8ffc35/paddlepaddle_gpu-0.14.0.post85-cp27-cp27mu-manylinux1_x86_64.whl>`__", "`paddlepaddle_gpu-0.14.0.post85-cp27-cp27m-manylinux1_x86_64.whl <https://files.pythonhosted.org/packages/24/dd/25c1db09524f654c80baa83e7aafdd67109449bd5b500964f4005047dcf8/paddlepaddle_gpu-0.14.0.post85-cp27-cp27m-manylinux1_x86_64.whl>`__"
"cpu_avx_mkl", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/845:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/845:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`__"
"cpu_avx_openblas", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/846:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/846:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`__"
"cpu_noavx_openblas", "`paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/847:id/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/847:id/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl>`_"
"cuda8.0_cudnn5_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/841:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/841:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
"cuda8.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/843:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/843:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
"cuda9.0_cudnn7_avx_mkl", "`paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/842:id/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl>`__", "`paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl <https://paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/842:id/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl>`__"
.. _FAQ:
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......@@ -60,6 +60,7 @@ class Executor {
void Run(const ProgramDesc& prog, Scope* scope, int block_id,
bool create_local_scope = true, bool create_vars = true);
// This API is very slow.
void Run(const ProgramDesc& program, Scope* scope,
std::map<std::string, const LoDTensor*>* feed_targets,
std::map<std::string, LoDTensor*>* fetch_targets,
......@@ -79,6 +80,7 @@ class Executor {
bool create_local_scope = true,
bool create_vars = true, bool keep_kids = false);
// This API is very slow.
void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope,
std::map<std::string, const LoDTensor*>* feed_targets,
std::map<std::string, LoDTensor*>* fetch_targets,
......
......@@ -59,7 +59,7 @@ void FindWhileOp(Graph* graph) {
auto handle = [&](const GraphPatternDetector::subgraph_t& subgraph,
Graph* g) {
auto* while_pat_node = gpd.pattern().RetriveNode("while");
auto* while_pat_node = gpd.pattern().RetrieveNode("while");
auto* while_node = subgraph.at(while_pat_node);
marked_nodes.insert(while_node);
};
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