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未验证 提交 e043fe26 编写于 作者: S skylarch 提交者： GitHub
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Merge pull request #1 from PaddlePaddle/develop 

pull from base
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文本差异 电子邮件补丁
.pre-commit-config.yaml
浏览文件 @ e043fe26
......@@ -23,7 +23,7 @@ repos:
- id: clang-format-with-version-check
name: clang-format
description: Format files with ClangFormat.
entry: bash ./.clang_format.hook -i
entry: bash ./tools/codestyle/clang_format.hook -i
language: system
files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto)$
- repo: local
......@@ -52,7 +52,7 @@ repos:
hooks:
- id: copyright_checker
name: copyright_checker
entry: python ./.copyright.hook
entry: python ./tools/codestyle/copyright.hook
language: system
files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|proto|py)$
exclude: (?!.*third_party)^.*$ | (?!.*book)^.*$
.travis.yml
浏览文件 @ e043fe26
......@@ -31,7 +31,7 @@ script:
if [[ "$JOB" != "doc" ]]; then exit 0; fi;
# For document only
if [[ "$TRAVIS_PULL_REQUEST" != "false" ]]; then exit 0; fi;
if [[ "$TRAVIS_BRANCH" != "develop" && ! "$TRAVIS_BRANCH" =~ ^v[[:digit:]]+\.[[:digit:]]+(\.[[:digit:]]+)?(-\S*)?$ ]]; then exit 0; fi;
if [[ "$TRAVIS_BRANCH" != "develop" && ! "$TRAVIS_BRANCH" =~ ^v|release/[[:digit:]]+\.[[:digit:]]+(\.[[:digit:]]+)?(-\S*)?$ ]]; then exit 0; fi;
export DEPLOY_DOCS_SH=https://raw.githubusercontent.com/PaddlePaddle/PaddlePaddle.org/master/scripts/deploy/deploy_docs.sh
export DOCS_DIR=`pwd`
cd ..
......
AUTHORS.md
浏览文件 @ e043fe26
......@@ -4,6 +4,7 @@
| backyes | Yan-Fei Wang |
| baiyfbupt | Yi-Fan Bai |
| beckett1124 | Bin Qi |
| ChengduoZH | Cheng-Duo Zhao|
| chengxiaohua1105 | Xiao-Hua Cheng |
| cxwangyi, yiwangbaidu, wangkuiyi | Yi Wang |
| cxysteven | Xing-Yi Cheng |
......@@ -21,6 +22,7 @@
| jczaja | Jacek Czaja |
| JiayiFeng | Jia-Yi Feng |
| kbinias | Krzysztof Binias |
| kexinzhao | Ke-Xin Zhao |
| kuke | Yi-Bing Liu |
| lcy-seso | Ying Cao |
| lipeng-unisound | Peng Li |
......
CMakeLists.txt
浏览文件 @ e043fe26
......@@ -55,12 +55,17 @@ option(WITH_FLUID_ONLY "Compile PaddlePaddle fluid only" OFF)
option(WITH_GOLANG "Compile PaddlePaddle with GOLANG" OFF)
option(GLIDE_INSTALL "Download and install go dependencies " ON)
option(USE_NNPACK "Compile PaddlePaddle with NNPACK library" OFF)
option(WITH_DISTRIBUTE "Compile with grpc distributed support" OFF)
option(WITH_DISTRIBUTE "Compile with distributed support" OFF)
option(USE_EIGEN_FOR_BLAS "Use matrix multiplication in Eigen" OFF)
option(EIGEN_USE_THREADS "Compile with multi-threaded Eigen" OFF)
option(WITH_ARM_FP16 "Use half precision support on armv8.2-a cpu" OFF)
option(WITH_FAST_BUNDLE_TEST "Bundle tests that can be run in a single process together to reduce launch overhead" OFF)
option(WITH_CONTRIB "Compile the third-party contributation" OFF)
option(REPLACE_ENFORCE_GLOG "Replace PADDLE_ENFORCE with glog/CHECK for better debug." OFF)
option(WITH_ANAKIN "Compile with Anakin library" OFF)
option(WITH_GRPC "Use grpc as the default rpc framework" ${WITH_DISTRIBUTE})
option(WITH_BRPC_RDMA "Use brpc rdma as the rpc protocal" OFF)
option(WITH_SYSTEM_BLAS "Use system blas library" OFF)
# CMAKE_BUILD_TYPE
if(NOT CMAKE_BUILD_TYPE)
......@@ -129,6 +134,10 @@ if (NOT DEFINED WITH_MKLDNN)
set(WITH_MKLDNN OFF)
endif()
endif()
if (REPLACE_ENFORCE_GLOG)
add_definitions("-DREPLACE_ENFORCE_GLOG")
endif()
########################################################################################
include(external/mklml) # download mklml package
......@@ -147,7 +156,28 @@ include(external/any) # download libn::any
include(external/eigen) # download eigen3
include(external/pybind11) # download pybind11
include(external/cares)
include(external/grpc)
if(WITH_DISTRIBUTE)
if(WITH_GRPC)
include(external/grpc)
message(STATUS "Use grpc framework.")
else()
message(STATUS "Use brpc framework.")
include(external/leveldb)
include(external/brpc)
endif()
endif()
if(WITH_BRPC_RDMA)
message(STATUS "Use brpc with rdma.")
if(WITH_GRPC)
message(FATAL_ERROR "Can't use grpc with brpc rdma.")
endif()
if(NOT WITH_DISTRIBUTE)
message(FATAL_ERROR "Can't use brpc rdma in no distribute env.")
endif()
endif()
include(external/snappy) # download snappy
include(external/snappystream)
include(external/threadpool)
......@@ -167,7 +197,7 @@ include(inference_lib) # add paddle fluid inference libraries
include_directories("${PADDLE_SOURCE_DIR}")
include_directories("${PADDLE_SOURCE_DIR}/paddle/cuda/include")
include_directories("${PADDLE_SOURCE_DIR}/paddle/legacy/cuda/include")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/proto")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/go/pserver/client/c")
......@@ -183,7 +213,10 @@ set(EXTERNAL_LIBS
if(WITH_GPU)
include(cuda)
include(tensorrt)
endif(WITH_GPU)
include(external/anakin)
else()
set(WITH_ANAKIN OFF CACHE STRING "Anakin is valid only when GPU is set." FORCE)
endif()
if(WITH_AMD_GPU)
find_package(HIP)
......@@ -208,7 +241,7 @@ add_subdirectory(proto)
if(NOT MOBILE_INFERENCE AND NOT WITH_FLUID_ONLY)
# "add_subdirectory(go)" should be placed after the following loine,
# because it depends on paddle/optimizer.
add_subdirectory(paddle/optimizer)
add_subdirectory(paddle/legacy/optimizer)
endif()
# "add_subdirectory(paddle)" and "add_subdirectory(python)" should be
......
CONTRIBUTING.md
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......@@ -58,6 +58,8 @@ PaddlePaddle uses this [Git branching model](http://nvie.com/posts/a-successful-
create mode 100644 233
```
NOTE: The `yapf` installed by `pip install pre-commit` and `conda install -c conda-forge pre-commit` is slightly different. Paddle developers use `pip install pre-commit`.
1. Build and test
Users can build PaddlePaddle natively on Linux and Mac OS X. But to unify the building environment and to make it easy for debugging, the recommended way is [using Docker](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/build_en.md).
......@@ -157,4 +159,4 @@ This will enable VLOG messages generated by `buddy_allocator.{h,cc}` and in the
- verbose level 1: [framework](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/framework)
- verbose level 3: [operators](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators)
- verbose level 5: [memory](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/memory), [platform](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/platform)
- verbose level 7: [math](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/math)
- verbose level 7: [math](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/legacy/math)
Dockerfile
浏览文件 @ e043fe26
......@@ -23,13 +23,13 @@ ENV HOME /root
COPY ./paddle/scripts/docker/root/ /root/
RUN apt-get update && \
apt-get install -y --allow-downgrades \
git python-pip python-dev openssh-server bison \
apt-get install -y --allow-downgrades patchelf \
git python-pip python-dev python-opencv openssh-server bison \
libnccl2=2.1.2-1+cuda8.0 libnccl-dev=2.1.2-1+cuda8.0 \
wget unzip unrar tar xz-utils bzip2 gzip coreutils ntp \
curl sed grep graphviz libjpeg-dev zlib1g-dev \
python-matplotlib gcc-4.8 g++-4.8 \
automake locales clang-format swig doxygen cmake \
automake locales clang-format swig cmake \
liblapack-dev liblapacke-dev \
clang-3.8 llvm-3.8 libclang-3.8-dev \
net-tools libtool ccache && \
......
README.md
浏览文件 @ e043fe26
......@@ -4,7 +4,6 @@
[![Build Status](https://travis-ci.org/PaddlePaddle/Paddle.svg?branch=develop)](https://travis-ci.org/PaddlePaddle/Paddle)
[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/index_en.html)
[![Documentation Status](https://img.shields.io/badge/中文文档-最新-brightgreen.svg)](http://www.paddlepaddle.org/docs/develop/documentation/zh/getstarted/index_cn.html)
[![Coverage Status](https://coveralls.io/repos/github/PaddlePaddle/Paddle/badge.svg?branch=develop)](https://coveralls.io/github/PaddlePaddle/Paddle?branch=develop)
[![Release](https://img.shields.io/github/release/PaddlePaddle/Paddle.svg)](https://github.com/PaddlePaddle/Paddle/releases)
[![License](https://img.shields.io/badge/license-Apache%202-blue.svg)](LICENSE)
......@@ -19,6 +18,8 @@ learning to many products at Baidu.
Our vision is to enable deep learning for everyone via PaddlePaddle.
Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddle/releases) to track the latest feature of PaddlePaddle.
### Lastest PaddlePaddle Version: [Fluid](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/fluid)
## Features
- **Flexibility**
......
benchmark/.gitignore
浏览文件 @ e043fe26
......@@ -7,3 +7,6 @@ paddle/rnn/imdb.pkl
caffe/image/logs
tensorflow/image/logs
tensorflow/rnn/logs
fluid/models/*.pyc
fluid/logs
fluid/nohup.out
benchmark/fluid/Dockerfile 0 → 100644
浏览文件 @ e043fe26
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
# Use UBUNTU_MIRROR can speed up apt-get speed.
# ARG UBUNTU_MIRROR
# RUN /bin/bash -c 'if [[ -n ${UBUNTU_MIRROR} ]]; then sed -i 's#http://archive.ubuntu.com/ubuntu#${UBUNTU_MIRROR}#g' /etc/apt/sources.list; fi'
RUN apt-get update && apt-get install -y python python-pip iputils-ping libgtk2.0-dev wget vim net-tools iftop python-opencv
RUN ln -s /usr/lib/x86_64-linux-gnu/libcudnn.so.7 /usr/lib/libcudnn.so && ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/lib/libnccl.so
# IMPORTANT:
# Add "ENV http_proxy=http://ip:port" if your download is slow, and don't forget to unset it at runtime.
# exmaple: unset http_proxy && unset https_proxy && python fluid_benchmark.py ...
RUN pip install -U pip
RUN pip install -U kubernetes paddlepaddle
RUN sh -c 'echo "import paddle.v2 as paddle\npaddle.dataset.cifar.train10()\npaddle.dataset.flowers.fetch()" | python'
RUN sh -c 'echo "import paddle.v2 as paddle\npaddle.dataset.mnist.train()\npaddle.dataset.mnist.test()\npaddle.dataset.imdb.fetch()" | python'
RUN sh -c 'echo "import paddle.v2 as paddle\npaddle.dataset.imikolov.fetch()" | python'
RUN pip uninstall -y paddlepaddle && mkdir /workspace
ADD https://raw.githubusercontent.com/PaddlePaddle/cloud/develop/docker/paddle_k8s /usr/bin
ADD https://raw.githubusercontent.com/PaddlePaddle/cloud/develop/docker/k8s_tools.py /root
RUN chmod +x /usr/bin/paddle_k8s
ADD *.whl /
RUN pip install /*.whl && rm -f /*.whl
ENV LD_LIBRARY_PATH=/usr/local/lib
ADD fluid_benchmark.py recordio_converter.py args.py recordio_converter.py run.sh run_fluid_benchmark.sh /workspace/
ADD models/ /workspace/models/
benchmark/fluid/README.md
浏览文件 @ e043fe26
......@@ -24,14 +24,18 @@ Currently supported `--model` argument include:
* Run the following command to start a benchmark job locally:
```bash
python fluid_benchmark.py --model mnist --device GPU
python fluid_benchmark.py --model mnist --device GPU
```
You can choose to use GPU/CPU training. With GPU training, you can specify
`--gpus <gpu_num>` to run multi GPU training.
You can set async mode parameter server. With async mode, you can specify
`--async_mode` to train model asynchronous.
* Run distributed training with parameter servers:
* see [run_fluid_benchmark.sh](https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/fluid/run_fluid_benchmark.sh) as an example.
* start parameter servers:
```bash
PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=1 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model mnist --device GPU --update_method pserver
sleep 15
```
* start trainers:
```bash
......@@ -42,13 +46,37 @@ Currently supported `--model` argument include:
PADDLE_PSERVER_PORT=7164 PADDLE_TRAINER_IPS=192.168.0.2,192.168.0.3 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model mnist --device GPU --update_method nccl2
```
## Prepare the RecordIO file to Achieve Better Performance
Run the following command will generate RecordIO files like "mnist.recordio" under the path
and batch_size you choose, you can use batch_size=1 so that later reader can change the batch_size
at any time using `fluid.batch`.
```bash
python -c 'from recordio_converter import *; prepare_mnist("data", 1)'
```
## Run Distributed Benchmark on Kubernetes Cluster
You may need to build a Docker image before submitting a cluster job onto Kubernetes, or you will
have to start all those processes mannually on each node, which is not recommended.
To build the Docker image, you need to choose a paddle "whl" package to run with, you may either
download it from
http://www.paddlepaddle.org/docs/develop/documentation/zh/build_and_install/pip_install_en.html or
build it by your own. Once you've got the "whl" package, put it under the current directory and run:
```bash
docker build -t [your docker image name]:[your docker image tag] .
```
Then push the image to a Docker registry that your Kubernetes cluster can reach.
We provide a script `kube_gen_job.py` to generate Kubernetes yaml files to submit
distributed benchmark jobs to your cluster. To generate a job yaml, just run:
```bash
python kube_gen_job.py --jobname myjob --pscpu 4 --cpu 8 --gpu 8 --psmemory 20 --memory 40 --pservers 4 --trainers 4 --entry "python fluid_benchmark.py --model mnist --parallel 1 --device GPU --update_method pserver " --disttype pserver
python kube_gen_job.py --jobname myjob --pscpu 4 --cpu 8 --gpu 8 --psmemory 20 --memory 40 --pservers 4 --trainers 4 --entry "python fluid_benchmark.py --model mnist --gpus 8 --device GPU --update_method pserver " --disttype pserver
```
Then the yaml files are generated under directory `myjob`, you can run:
......
benchmark/fluid/args.py 0 → 100644
浏览文件 @ e043fe26
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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 argparse
__all__ = ['parse_args', ]
BENCHMARK_MODELS = [
"machine_translation", "resnet", "vgg", "mnist", "stacked_dynamic_lstm"
]
def parse_args():
parser = argparse.ArgumentParser('Fluid model benchmarks.')
parser.add_argument(
'--model',
type=str,
choices=BENCHMARK_MODELS,
default='resnet',
help='The model to run benchmark with.')
parser.add_argument(
'--batch_size', type=int, default=32, help='The minibatch size.')
# args related to learning rate
parser.add_argument(
'--learning_rate', type=float, default=0.001, help='The learning rate.')
# TODO(wuyi): add "--use_fake_data" option back.
parser.add_argument(
'--skip_batch_num',
type=int,
default=5,
help='The first num of minibatch num to skip, for better performance test'
)
parser.add_argument(
'--iterations', type=int, default=80, help='The number of minibatches.')
parser.add_argument(
'--pass_num', type=int, default=100, help='The number of passes.')
parser.add_argument(
'--data_format',
type=str,
default='NCHW',
choices=['NCHW', 'NHWC'],
help='The data data_format, now only support NCHW.')
parser.add_argument(
'--device',
type=str,
default='GPU',
choices=['CPU', 'GPU'],
help='The device type.')
parser.add_argument(
'--gpus',
type=int,
default=1,
help='If gpus > 1, will use ParallelExecutor to run, else use Executor.')
# this option is available only for vgg and resnet.
parser.add_argument(
'--cpus',
type=int,
default=1,
help='If cpus > 1, will use ParallelDo to run, else use Executor.')
parser.add_argument(
'--data_set',
type=str,
default='flowers',
choices=['cifar10', 'flowers'],
help='Optional dataset for benchmark.')
parser.add_argument(
'--infer_only', action='store_true', help='If set, run forward only.')
parser.add_argument(
'--use_cprof', action='store_true', help='If set, use cProfile.')
parser.add_argument(
'--use_nvprof',
action='store_true',
help='If set, use nvprof for CUDA.')
parser.add_argument(
'--no_test',
action='store_true',
help='If set, do not test the testset during training.')
parser.add_argument(
'--memory_optimize',
action='store_true',
help='If set, optimize runtime memory before start.')
parser.add_argument(
'--use_fake_data',
action='store_true',
help='If set ommit the actual read data operators.')
parser.add_argument(
'--profile', action='store_true', help='If set, profile a few steps.')
parser.add_argument(
'--update_method',
type=str,
default='local',
choices=['local', 'pserver', 'nccl2'],
help='Choose parameter update method, can be local, pserver, nccl2.')
parser.add_argument(
'--no_split_var',
action='store_true',
default=False,
help='Whether split variables into blocks when update_method is pserver')
parser.add_argument(
'--async_mode',
action='store_true',
default=False,
help='Whether start pserver in async mode to support ASGD')
parser.add_argument(
'--use_reader_op',
action='store_true',
help='Whether to use reader op, and must specify the data path if set this to true.'
)
parser.add_argument(
'--data_path',
type=str,
default="",
help='Directory that contains all the training recordio files.')
parser.add_argument(
'--use_inference_transpiler',
action='store_true',
help='If set, use inference transpiler to optimize the program.')
parser.add_argument(
'--no_random',
action='store_true',
help='If set, keep the random seed and do not shuffle the data.')
args = parser.parse_args()
return args
benchmark/fluid/fluid_benchmark.py
浏览文件 @ e043fe26
......@@ -24,92 +24,11 @@ import paddle.fluid.core as core
import paddle.fluid.profiler as profiler
import paddle.fluid.transpiler.distribute_transpiler as distribute_transpiler
BENCHMARK_MODELS = [
"machine_translation", "resnet", "vgg", "mnist", "stacked_dynamic_lstm"
]
def parse_args():
parser = argparse.ArgumentParser('Fluid model benchmarks.')
parser.add_argument(
'--model',
type=str,
choices=BENCHMARK_MODELS,
default='resnet',
help='The model to run benchmark with.')
parser.add_argument(
'--batch_size', type=int, default=32, help='The minibatch size.')
parser.add_argument(
'--learning_rate',
type=float,
default=0.001,
help='The minibatch size.')
# TODO(wuyi): add "--use_fake_data" option back.
parser.add_argument(
'--skip_batch_num',
type=int,
default=5,
help='The first num of minibatch num to skip, for better performance test'
)
parser.add_argument(
'--iterations', type=int, default=80, help='The number of minibatches.')
parser.add_argument(
'--pass_num', type=int, default=100, help='The number of passes.')
parser.add_argument(
'--data_format',
type=str,
default='NCHW',
choices=['NCHW', 'NHWC'],
help='The data data_format, now only support NCHW.')
parser.add_argument(
'--device',
type=str,
default='GPU',
choices=['CPU', 'GPU'],
help='The device type.')
parser.add_argument(
'--gpus',
type=int,
default=1,
help='If gpus > 1, will use ParallelExecutor to run, else use Executor.')
parser.add_argument(
'--data_set',
type=str,
default='flowers',
choices=['cifar10', 'flowers'],
help='Optional dataset for benchmark.')
parser.add_argument(
'--infer_only', action='store_true', help='If set, run forward only.')
parser.add_argument(
'--use_cprof', action='store_true', help='If set, use cProfile.')
parser.add_argument(
'--use_nvprof',
action='store_true',
help='If set, use nvprof for CUDA.')
parser.add_argument(
'--no_test',
action='store_false',
help='If set, test the testset during training.')
parser.add_argument(
'--memory_optimize',
action='store_true',
help='If set, optimize runtime memory before start.')
parser.add_argument(
'--use_fake_data',
action='store_true',
help='If set ommit the actual read data operators.')
parser.add_argument(
'--update_method',
type=str,
default='local',
choices=['local', 'pserver', 'nccl2'],
help='Choose parameter update method, can be local, pserver, nccl2.')
args = parser.parse_args()
return args
def append_nccl2_prepare():
if os.getenv("PADDLE_TRAINER_ID", None) != None:
from args import *
def append_nccl2_prepare(trainer_id):
if trainer_id >= 0:
# append gen_nccl_id at the end of startup program
trainer_id = int(os.getenv("PADDLE_TRAINER_ID"))
port = os.getenv("PADDLE_PSERVER_PORT")
......@@ -136,12 +55,12 @@ def append_nccl2_prepare():
})
return nccl_id_var, num_trainers, trainer_id
else:
raise Exception(
"must set PADDLE_TRAINER_ID env variables for dist train.")
raise Exception("must set positive PADDLE_TRAINER_ID env variables for "
"nccl-based dist train.")
def dist_transpile():
if "PADDLE_TRAINING_ROLE" not in os.environ:
def dist_transpile(trainer_id, args):
if trainer_id < 0:
return None, None
# the port of all pservers, needed by both trainer and pserver
......@@ -158,14 +77,16 @@ def dist_transpile():
trainers = int(os.getenv("PADDLE_TRAINERS"))
# the IP of the local machine, needed by pserver only
current_endpoint = os.getenv("PADDLE_CURRENT_IP", "") + ":" + port
# the unique trainer id, starting from 0, needed by trainer
# only
trainer_id = int(os.getenv("PADDLE_TRAINER_ID", "0"))
# the role, should be either PSERVER or TRAINER
training_role = os.getenv("PADDLE_TRAINING_ROLE")
t = distribute_transpiler.DistributeTranspiler()
t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers)
t.transpile(
trainer_id,
pservers=pserver_endpoints,
trainers=trainers,
sync_mode=not args.async_mode,
slice_var_up=not args.no_split_var)
if training_role == "PSERVER":
pserver_program = t.get_pserver_program(current_endpoint)
pserver_startup_program = t.get_startup_program(current_endpoint,
......@@ -176,7 +97,7 @@ def dist_transpile():
return train_program, fluid.default_startup_program()
else:
raise ValueError(
'TRAINING_ROLE environment variable must be either TRAINER or PSERVER'
'PADDLE_TRAINING_ROLE environment variable must be either TRAINER or PSERVER'
)
......@@ -209,36 +130,62 @@ def train(avg_loss, infer_prog, optimizer, train_reader, test_reader, batch_acc,
place = core.CPUPlace() if args.device == 'CPU' else core.CUDAPlace(0)
exe = fluid.Executor(place)
exe.run(startup_prog)
feed_var_list = [
var for var in train_prog.global_block().vars.itervalues()
if var.is_data
]
feeder = fluid.DataFeeder(feed_var_list, place)
# Use inference_transpiler to speedup
if not args.use_reader_op:
feed_var_list = [
var for var in train_prog.global_block().vars.itervalues()
if var.is_data
]
feeder = fluid.DataFeeder(feed_var_list, place)
iters, num_samples, start_time = 0, 0, time.time()
for pass_id in range(args.pass_num):
train_losses = []
for batch_id, data in enumerate(train_reader()):
if not args.use_reader_op:
reader_generator = train_reader()
batch_id = 0
data = None
while True:
if not args.use_reader_op:
data = next(reader_generator, None)
if data == None:
break
if iters == args.iterations:
break
if iters == args.skip_batch_num:
start_time = time.time()
num_samples = 0
if iters == args.iterations:
break
loss = exe.run(train_prog,
feed=feeder.feed(data),
fetch_list=[avg_loss])
if args.use_reader_op:
try:
loss = exe.run(train_prog, fetch_list=[avg_loss])
except fluid.core.EnforceNotMet as ex:
break
else:
loss = exe.run(train_prog,
feed=feeder.feed(data),
fetch_list=[avg_loss])
iters += 1
num_samples += len(data)
batch_id += 1
# FIXME(wuyi): For use_reader_op, if the current
# pass is not the last, the last batch of this pass
# is also equal to args.batch_size.
if args.use_reader_op:
num_samples += args.batch_size * args.gpus
else:
num_samples += len(data)
train_losses.append(loss)
print("Pass: %d, Iter: %d, Loss: %f\n" %
(pass_id, iters, np.mean(train_losses)))
train_elapsed = time.time() - start_time
examples_per_sec = num_samples / train_elapsed
print('\nTotal examples: %d, total time: %.5f, %.5f examples/sec\n' %
(num_samples, train_elapsed, examples_per_sec))
print("Pass: %d, Loss: %f" % (pass_id, np.mean(train_losses)))
print_train_time(start_time, time.time(), num_samples)
print("Pass: %d, Loss: %f" % (pass_id, np.mean(train_losses))),
# evaluation
if not args.no_test and batch_acc != None:
if not args.no_test and batch_acc and not args.use_reader_op:
if args.use_inference_transpiler:
t = fluid.InferenceTranspiler()
t.transpile(infer_prog, place)
pass_test_acc = test(exe, infer_prog, test_reader, feeder,
batch_acc)
print(", Test Accuracy: %f" % pass_test_acc)
......@@ -252,10 +199,14 @@ def train(avg_loss, infer_prog, optimizer, train_reader, test_reader, batch_acc,
def train_parallel(avg_loss, infer_prog, optimizer, train_reader, test_reader,
batch_acc, args, train_prog, startup_prog, nccl_id_var,
num_trainers, trainer_id):
feed_var_list = [
var for var in train_prog.global_block().vars.itervalues()
if var.is_data
]
place = core.CPUPlace() if args.device == 'CPU' else core.CUDAPlace(0)
if not args.use_reader_op:
feed_var_list = [
var for var in train_prog.global_block().vars.itervalues()
if var.is_data
]
feeder = fluid.DataFeeder(feed_var_list, place)
# generate fake:
if args.use_fake_data:
for var in feed_var_list:
......@@ -272,7 +223,6 @@ def train_parallel(avg_loss, infer_prog, optimizer, train_reader, test_reader,
"value": 1.0,
"dtype": var.dtype})
place = core.CPUPlace() if args.device == 'CPU' else core.CUDAPlace(0)
if nccl_id_var and trainer_id == 0:
#FIXME(wuyi): wait other trainer to start listening
time.sleep(30)
......@@ -289,52 +239,90 @@ def train_parallel(avg_loss, infer_prog, optimizer, train_reader, test_reader,
num_trainers=num_trainers,
trainer_id=trainer_id)
feeder = fluid.DataFeeder(feed_var_list, place)
for pass_id in range(args.pass_num):
num_samples = 0
iters = 0
start_time = time.time()
for batch_id, data in enumerate(train_reader()):
if not args.use_reader_op:
reader_generator = train_reader()
batch_id = 0
data = None
while True:
if not args.use_reader_op:
data = next(reader_generator, None)
if data == None:
break
if iters == args.iterations:
break
if args.profile and pass_id == 0 and batch_id == 5:
profiler.start_profiler("All")
elif args.profile and pass_id == 0 and batch_id == 10:
profiler.stop_profiler("total", "/tmp/profile_%d" % trainer_id)
if iters == args.skip_batch_num:
start_time = time.time()
num_samples = 0
if iters == args.iterations:
break
if args.use_fake_data:
loss, = exe.run([avg_loss.name])
if args.use_fake_data or args.use_reader_op:
try:
loss, = exe.run([avg_loss.name])
except fluid.core.EnforceNotMet as ex:
break
else:
loss, = exe.run([avg_loss.name], feed=feeder.feed(data))
if args.update_method == "pserver":
exe.bcast_params()
num_samples += len(data)
if args.use_reader_op:
num_samples += args.batch_size * args.gpus
else:
num_samples += len(data)
iters += 1
if batch_id % 1 == 0:
print("Pass %d, batch %d, loss %s" %
(pass_id, batch_id, np.array(loss)))
train_elapsed = time.time() - start_time
examples_per_sec = num_samples / train_elapsed
print('\nTotal examples: %d, total time: %.5f, %.5f examples/sed\n' %
(num_samples, train_elapsed, examples_per_sec))
if not args.no_test and batch_acc != None:
batch_id += 1
print_train_time(start_time, time.time(), num_samples)
if not args.no_test and batch_acc and not args.use_reader_op:
# we have not implement record io for test
# skip test when use args.use_reader_op
test_acc = test(startup_exe, infer_prog, test_reader, feeder,
batch_acc)
print("Pass: %d, Test Accuracy: %f\n" % (pass_id, test_acc))
exit(0)
def print_arguments(args):
vars(args)['use_nvprof'] = (vars(args)['use_nvprof'] and
vars(args)['device'] == 'GPU')
print('----------- resnet Configuration Arguments -----------')
print('----------- Configuration Arguments -----------')
for arg, value in sorted(vars(args).iteritems()):
print('%s: %s' % (arg, value))
print('------------------------------------------------')
def print_train_time(start_time, end_time, num_samples):
train_elapsed = end_time - start_time
examples_per_sec = num_samples / train_elapsed
print('\nTotal examples: %d, total time: %.5f, %.5f examples/sed\n' %
(num_samples, train_elapsed, examples_per_sec))
def print_paddle_envs():
print('----------- Configuration envs -----------')
for k in os.environ:
if "PADDLE_" in k:
print "ENV %s:%s" % (k, os.environ[k])
print('------------------------------------------------')
def main():
args = parse_args()
print_arguments(args)
nccl_id_var, num_trainers, trainer_id = None, 1, 0
print_paddle_envs()
if args.no_random:
fluid.default_startup_program().random_seed = 1
# the unique trainer id, starting from 0, needed by trainer
# only
nccl_id_var, num_trainers, trainer_id = (
None, 1, int(os.getenv("PADDLE_TRAINER_ID", "0")))
if args.use_cprof:
pr = cProfile.Profile()
......@@ -348,7 +336,7 @@ def main():
fluid.memory_optimize(fluid.default_main_program())
if args.update_method == "pserver":
train_prog, startup_prog = dist_transpile()
train_prog, startup_prog = dist_transpile(trainer_id, args)
if not train_prog:
raise Exception(
"Must configure correct environments to run dist train.")
......@@ -364,7 +352,7 @@ def main():
train_args.append(fluid.default_startup_program())
if args.update_method == "nccl2":
nccl_id_var, num_trainers, trainer_id = append_nccl2_prepare()
nccl_id_var, num_trainers, trainer_id = append_nccl2_prepare(trainer_id)
if args.gpus == 1:
# NOTE: parallel executor use profiler interanlly
if args.use_nvprof and args.device == 'GPU':
......
benchmark/fluid/kube_gen_job.py
浏览文件 @ e043fe26
......@@ -17,6 +17,7 @@ import copy
import argparse
import random
import os
import copy
from kube_templates import pserver, trainer, envs
......@@ -49,7 +50,7 @@ def parse_args():
parser.add_argument(
'--fluid', default=1, type=int, help='whether is fluid job')
parser.add_argument(
'--rdma', action='store_ture', help='whether mount rdma libs')
'--rdma', action='store_true', help='whether mount rdma libs')
parser.add_argument(
'--disttype',
default="pserver",
......@@ -108,10 +109,9 @@ def gen_job():
tn_container["ports"][0]["containerPort"] = spreadport
envs.append({"name": "PADDLE_JOB_NAME", "value": args.jobname})
envs.append({"name": "TRAINERS", "value": str(args.trainers)})
envs.append({"name": "PSERVERS", "value": str(args.pservers)})
envs.append({"name": "PADDLE_TRAINERS", "value": str(args.trainers)})
envs.append({"name": "PADDLE_PSERVERS", "value": str(args.pservers)})
envs.append({"name": "ENTRY", "value": args.entry})
envs.append({"name": "PADDLE_INIT_PORT", "value": str(args.port)})
envs.append({"name": "PADDLE_PSERVER_PORT", "value": str(args.port)})
# NOTE: these directories below are cluster specific, please modify
# this settings before you run on your own cluster.
......@@ -166,17 +166,23 @@ def gen_job():
tn["spec"]["template"]["spec"]["volumes"] = volumes
tn_container["volumeMounts"] = volumeMounts
ps_container["env"] = envs
ps_container["env"].append({"name": "TRAINING_ROLE", "value": "PSERVER"})
ps_container["env"] = copy.deepcopy(envs)
ps_container["env"].append({
"name": "PADDLE_TRAINING_ROLE",
"value": "PSERVER"
})
tn_container["env"] = envs
if args.disttype == "pserver":
tn_container["env"].append({
"name": "TRAINING_ROLE",
"name": "PADDLE_TRAINING_ROLE",
"value": "TRAINER"
})
elif args.disttype == "nccl2" or args.disttype == "local":
# NCCL2 have no training role, set to plain WORKER
tn_container["env"].append({"name": "TRAINING_ROLE", "value": "WORKER"})
tn_container["env"].append({
"name": "PADDLE_TRAINING_ROLE",
"value": "WORKER"
})
os.mkdir(args.jobname)
if args.disttype == "pserver":
......
benchmark/fluid/models/machine_translation.py
浏览文件 @ e043fe26
......@@ -173,21 +173,6 @@ def seq_to_seq_net(embedding_dim, encoder_size, decoder_size, source_dict_dim,
return avg_cost, feeding_list
def to_lodtensor(data, place):
seq_lens = [len(seq) for seq in data]
cur_len = 0
lod = [cur_len]
for l in seq_lens:
cur_len += l
lod.append(cur_len)
flattened_data = np.concatenate(data, axis=0).astype("int64")
flattened_data = flattened_data.reshape([len(flattened_data), 1])
lod_t = core.LoDTensor()
lod_t.set(flattened_data, place)
lod_t.set_lod([lod])
return lod_t, lod[-1]
def lodtensor_to_ndarray(lod_tensor):
dims = lod_tensor.get_dims()
ndarray = np.zeros(shape=dims).astype('float32')
......@@ -197,6 +182,8 @@ def lodtensor_to_ndarray(lod_tensor):
def get_model(args):
if args.use_reader_op:
raise Exception("machine_translation do not support reader op for now.")
embedding_dim = 512
encoder_size = 512
decoder_size = 512
......@@ -221,7 +208,7 @@ def get_model(args):
train_batch_generator = paddle.batch(
paddle.reader.shuffle(
paddle.dataset.wmt14.train(dict_size), buf_size=1000),
batch_size=args.batch_size)
batch_size=args.batch_size * args.gpus)
test_batch_generator = paddle.batch(
paddle.reader.shuffle(
......
benchmark/fluid/models/mnist.py
浏览文件 @ e043fe26
......@@ -20,6 +20,7 @@ import numpy as np
import argparse
import time
import cProfile
import os
import paddle
import paddle.fluid as fluid
......@@ -65,19 +66,49 @@ def cnn_model(data):
def get_model(args):
# Input data
images = fluid.layers.data(name='pixel', shape=[1, 28, 28], dtype=DTYPE)
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
# Train program
predict = cnn_model(images)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
# Evaluator
batch_size_tensor = fluid.layers.create_tensor(dtype='int64')
batch_acc = fluid.layers.accuracy(
input=predict, label=label, total=batch_size_tensor)
if args.use_reader_op:
filelist = [
os.path.join(args.data_path, f) for f in os.listdir(args.data_path)
]
data_file = fluid.layers.open_files(
filenames=filelist,
shapes=[[-1, 1, 28, 28], (-1, 1)],
lod_levels=[0, 0],
dtypes=["float32", "int64"],
thread_num=args.gpus,
pass_num=args.pass_num)
data_file = fluid.layers.double_buffer(
fluid.layers.batch(
data_file, batch_size=args.batch_size))
images, label = fluid.layers.read_file(data_file)
else:
images = fluid.layers.data(name='pixel', shape=[1, 28, 28], dtype=DTYPE)
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
if args.device == 'CPU' and args.cpus > 1:
places = fluid.layers.get_places(args.cpus)
pd = fluid.layers.ParallelDo(places)
with pd.do():
predict = cnn_model(pd.read_input(images))
label = pd.read_input(label)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
batch_acc = fluid.layers.accuracy(input=predict, label=label)
pd.write_output(avg_cost)
pd.write_output(batch_acc)
avg_cost, batch_acc = pd()
avg_cost = fluid.layers.mean(avg_cost)
batch_acc = fluid.layers.mean(batch_acc)
else:
# Train program
predict = cnn_model(images)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
# Evaluator
batch_acc = fluid.layers.accuracy(input=predict, label=label)
# inference program
inference_program = fluid.default_main_program().clone()
......@@ -88,7 +119,7 @@ def get_model(args):
# Reader
train_reader = paddle.batch(
paddle.dataset.mnist.train(), batch_size=args.batch_size)
paddle.dataset.mnist.train(), batch_size=args.batch_size * args.gpus)
test_reader = paddle.batch(
paddle.dataset.mnist.test(), batch_size=args.batch_size)
return avg_cost, inference_program, opt, train_reader, test_reader, batch_acc
benchmark/fluid/models/resnet.py
浏览文件 @ e043fe26
......@@ -19,6 +19,7 @@ from __future__ import print_function
import functools
import numpy as np
import time
import os
import cProfile, pstats, StringIO
......@@ -26,6 +27,7 @@ import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
import paddle.fluid.profiler as profiler
from recordio_converter import imagenet_train, imagenet_test
def conv_bn_layer(input, ch_out, filter_size, stride, padding, act='relu'):
......@@ -122,40 +124,85 @@ def get_model(args):
else:
dshape = [32, 32, 3]
model = resnet_cifar10
else:
train_reader = paddle.dataset.cifar.train10()
test_reader = paddle.dataset.cifar.test10()
elif args.data_set == "flowers":
class_dim = 102
if args.data_format == 'NCHW':
dshape = [3, 224, 224]
else:
dshape = [224, 224, 3]
model = resnet_imagenet
input = fluid.layers.data(name='data', shape=dshape, dtype='float32')
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
predict = model(input, class_dim)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
batch_size_tensor = fluid.layers.create_tensor(dtype='int64')
batch_acc = fluid.layers.accuracy(
input=predict, label=label, total=batch_size_tensor)
train_reader = paddle.dataset.flowers.train()
test_reader = paddle.dataset.flowers.test()
elif args.data_set == "imagenet":
class_dim = 1000
if args.data_format == 'NCHW':
dshape = [3, 224, 224]
else:
dshape = [224, 224, 3]
model = resnet_imagenet
if not args.data_path:
raise Exception(
"Must specify --data_path when training with imagenet")
train_reader = imagenet_train(args.data_path)
test_reader = imagenet_test(args.data_path)
if args.use_reader_op:
filelist = [
os.path.join(args.data_path, f) for f in os.listdir(args.data_path)
]
data_file = fluid.layers.open_files(
filenames=filelist,
shapes=[[-1] + dshape, (-1, 1)],
lod_levels=[0, 0],
dtypes=["float32", "int64"],
thread_num=args.gpus,
pass_num=args.pass_num)
data_file = fluid.layers.double_buffer(
fluid.layers.batch(
data_file, batch_size=args.batch_size))
input, label = fluid.layers.read_file(data_file)
else:
input = fluid.layers.data(name='data', shape=dshape, dtype='float32')
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
if args.device == 'CPU' and args.cpus > 1:
places = fluid.layers.get_places(args.cpus)
pd = fluid.layers.ParallelDo(places)
with pd.do():
predict = model(pd.read_input(input), class_dim)
label = pd.read_input(label)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
batch_acc = fluid.layers.accuracy(input=predict, label=label)
pd.write_output(avg_cost)
pd.write_output(batch_acc)
avg_cost, batch_acc = pd()
avg_cost = fluid.layers.mean(avg_cost)
batch_acc = fluid.layers.mean(batch_acc)
else:
predict = model(input, class_dim)
cost = fluid.layers.cross_entropy(input=predict, label=label)
avg_cost = fluid.layers.mean(x=cost)
batch_acc = fluid.layers.accuracy(input=predict, label=label)
inference_program = fluid.default_main_program().clone()
with fluid.program_guard(inference_program):
inference_program = fluid.io.get_inference_program(
target_vars=[batch_acc, batch_size_tensor])
target_vars=[batch_acc])
optimizer = fluid.optimizer.Momentum(learning_rate=0.01, momentum=0.9)
train_reader = paddle.batch(
paddle.reader.shuffle(
paddle.dataset.cifar.train10()
if args.data_set == 'cifar10' else paddle.dataset.flowers.train(),
buf_size=5120),
batch_size=args.batch_size)
test_reader = paddle.batch(
paddle.dataset.cifar.test10()
if args.data_set == 'cifar10' else paddle.dataset.flowers.test(),
batch_size=args.batch_size)
return avg_cost, inference_program, optimizer, train_reader, test_reader, batch_acc
batched_train_reader = paddle.batch(
train_reader if args.no_random else paddle.reader.shuffle(
train_reader, buf_size=5120),
batch_size=args.batch_size * args.gpus,
drop_last=True)
batched_test_reader = paddle.batch(
test_reader, batch_size=args.batch_size, drop_last=True)
return avg_cost, inference_program, optimizer, batched_train_reader,\
batched_test_reader, batch_acc
benchmark/fluid/models/stacked_dynamic_lstm.py
浏览文件 @ e043fe26
......@@ -44,6 +44,9 @@ def crop_sentence(reader, crop_size):
def get_model(args):
if args.use_reader_op:
raise Exception(
"stacked_dynamic_lstm do not support reader op for now.")
lstm_size = 512
emb_dim = 512
crop_size = 1500
......@@ -115,25 +118,10 @@ def get_model(args):
train_reader = batch(
paddle.reader.shuffle(
crop_sentence(imdb.train(word_dict), crop_size), buf_size=25000),
batch_size=args.batch_size)
batch_size=args.batch_size * args.gpus)
test_reader = batch(
paddle.reader.shuffle(
crop_sentence(imdb.test(word_dict), crop_size), buf_size=25000),
batch_size=args.batch_size)
return loss, inference_program, adam, train_reader, test_reader, batch_acc
def to_lodtensor(data, place):
seq_lens = [len(seq) for seq in data]
cur_len = 0
lod = [cur_len]
for l in seq_lens:
cur_len += l
lod.append(cur_len)
flattened_data = numpy.concatenate(data, axis=0).astype("int64")
flattened_data = flattened_data.reshape([len(flattened_data), 1])
res = fluid.LoDTensor()
res.set(flattened_data, place)
res.set_lod([lod])
return res
benchmark/fluid/models/vgg.py
浏览文件 @ e043fe26
......@@ -22,6 +22,7 @@ import paddle.fluid as fluid
import paddle.fluid.core as core
import argparse
import functools
import os
def vgg16_bn_drop(input):
......@@ -65,9 +66,25 @@ def get_model(args):
else:
data_shape = [224, 224, 3]
# Input data
images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32')
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
if args.use_reader_op:
filelist = [
os.path.join(args.data_path, f) for f in os.listdir(args.data_path)
]
data_file = fluid.layers.open_files(
filenames=filelist,
shapes=[[-1] + data_shape, (-1, 1)],
lod_levels=[0, 0],
dtypes=["float32", "int64"],
thread_num=args.gpus,
pass_num=args.pass_num)
data_file = fluid.layers.double_buffer(
fluid.layers.batch(
data_file, batch_size=args.batch_size))
images, label = fluid.layers.read_file(data_file)
else:
images = fluid.layers.data(
name='data', shape=data_shape, dtype='float32')
label = fluid.layers.data(name='label', shape=[1], dtype='int64')
# Train program
net = vgg16_bn_drop(images)
......@@ -95,7 +112,7 @@ def get_model(args):
paddle.dataset.cifar.train10()
if args.data_set == 'cifar10' else paddle.dataset.flowers.train(),
buf_size=5120),
batch_size=args.batch_size)
batch_size=args.batch_size * args.gpus)
test_reader = paddle.batch(
paddle.dataset.cifar.test10()
if args.data_set == 'cifar10' else paddle.dataset.flowers.test(),
......
benchmark/fluid/recordio_converter.py 0 → 100644
浏览文件 @ e043fe26
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import random
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
from paddle.dataset import mnist, cifar, flowers, image
def convert_2_recordio(py_reader, outfilepath, batch_size, shape_data,
shape_label):
num_batches = 0
with fluid.program_guard(fluid.Program(), fluid.Program()):
reader = paddle.batch(py_reader(), batch_size=batch_size)
feeder = fluid.DataFeeder(
feed_list=[ # order is image and label
fluid.layers.data(
name='image', shape=shape_data),
fluid.layers.data(
name='label', shape=shape_label, dtype='int64'),
],
place=fluid.CPUPlace())
num_batches = fluid.recordio_writer.convert_reader_to_recordio_file(
outfilepath, reader, feeder)
return num_batches
def prepare_mnist(outpath, batch_size):
outfilepath = os.path.join(outpath, "mnist.recordio")
convert_2_recordio(mnist.train, outfilepath, batch_size, [784], [1])
def prepare_cifar10(outpath, batch_size):
outfilepath = os.path.join(outpath, "cifar.recordio")
convert_2_recordio(cifar.train10, outfilepath, batch_size, [3, 32, 32], [1])
def prepare_flowers(outpath, batch_size):
outfilepath = os.path.join(outpath, "flowers.recordio")
convert_2_recordio(flowers.train, outfilepath, batch_size, [3, 224, 224],
[1])
def default_mapper(sample):
img, label = sample
img = image.simple_transform(
img, 256, 224, True, mean=[103.94, 116.78, 123.68])
return img.flatten().astype('float32'), label
def imagenet_train(data_dir):
contents = os.listdir(data_dir)
if set(contents) != set(
["train", "train.txt", "val", "val_set", "val.txt", "unzip.sh"]):
raise Exception("Imagenet data contents error!")
img2label = dict()
imgfilelist = []
with open(os.path.join(data_dir, "train.txt")) as fn:
while 1:
l = fn.readline()
if not l:
break
img, lbl = l[:-1].split(" ")
img2label[img] = int(lbl)
imgfilelist.append(img)
# shuffle all, this is slow
random.shuffle(imgfilelist)
def train_reader():
for idx, imgfile in enumerate(imgfilelist):
data = image.load_image(
os.path.join(data_dir, "train", imgfile.lower()))
label = [img2label[imgfile], ]
yield [data, label]
return paddle.reader.map_readers(default_mapper, train_reader)
def imagenet_test(data_dir):
contents = os.listdir(data_dir)
if set(contents) != set(
["train", "train.txt", "val", "val_set", "val.txt", "unzip.sh"]):
raise Exception("Imagenet data contents error!")
img2label = dict()
imgfilelist = []
with open(os.path.join(data_dir, "val.txt")) as fn:
while 1:
l = fn.readline()
if not l:
break
img, lbl = l[:-1].split(" ")
img2label[img] = int(lbl)
imgfilelist.append(img)
def test_reader():
for idx, imgfile in enumerate(imgfilelist):
base_path = os.path.join(data_dir, "val", imgfile.split(".")[0])
image_path = ".".join([base_path, "jpeg"])
data = image.load_image(image_path)
label = [img2label[imgfile], ]
yield [data, label]
return paddle.reader.map_readers(default_mapper, test_reader)
# FIXME(wuyi): delete this when https://github.com/PaddlePaddle/Paddle/pull/11066 is merged
def convert_reader_to_recordio_files(
filename,
batch_per_file,
reader_creator,
feeder,
compressor=core.RecordIOWriter.Compressor.Snappy,
max_num_records=1000,
feed_order=None):
if feed_order is None:
feed_order = feeder.feed_names
f_name, f_ext = os.path.splitext(filename)
assert (f_ext == ".recordio")
lines = []
f_idx = 0
counter = 0
for idx, batch in enumerate(reader_creator()):
lines.append(batch)
if idx >= batch_per_file and idx % batch_per_file == 0:
filename = "%s-%05d%s" % (f_name, f_idx, f_ext)
with fluid.recordio_writer.create_recordio_writer(
filename, compressor, max_num_records) as writer:
for l in lines:
res = feeder.feed(l)
for each in feed_order:
writer.append_tensor(res[each])
writer.complete_append_tensor()
counter += 1
lines = []
f_idx += 1
print("written file: ", filename)
return counter
def prepare_imagenet(inpath, outpath, batch_size):
r = paddle.batch(imagenet_train(inpath), batch_size=batch_size)
feeder = fluid.DataFeeder(
feed_list=[
fluid.layers.data(
name="image", shape=[3, 224, 224]), fluid.layers.data(
name="label", shape=[1], dtype='int64')
],
place=fluid.CPUPlace())
outpath = os.path.join(outpath, "imagenet.recordio")
convert_reader_to_recordio_files(outpath, 10000, r, feeder)
benchmark/fluid/run.sh
浏览文件 @ e043fe26
......@@ -2,6 +2,7 @@
# This script benchmarking the PaddlePaddle Fluid on
# single thread single GPU.
mkdir -p logs
#export FLAGS_fraction_of_gpu_memory_to_use=0.0
export CUDNN_PATH=/paddle/cudnn_v5
......@@ -35,71 +36,74 @@ nohup stdbuf -oL nvidia-smi \
--format=csv \
--filename=mem.log \
-l 1 &
# mnist
# mnist gpu mnist 128
FLAGS_benchmark=true stdbuf -oL python fluid/mnist.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=mnist \
--device=GPU \
--batch_size=128 \
--skip_batch_num=5 \
--iterations=500 \
2>&1 | tee -a mnist_gpu_128.log
2>&1 | tee -a logs/mnist_gpu_128.log
# vgg16
# gpu cifar10 128
FLAGS_benchmark=true stdbuf -oL python fluid/vgg16.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=vgg16 \
--device=GPU \
--batch_size=128 \
--skip_batch_num=5 \
--iterations=30 \
2>&1 | tee -a vgg16_gpu_128.log
2>&1 | tee -a logs/vgg16_gpu_128.log
# flowers gpu 128
FLAGS_benchmark=true stdbuf -oL python fluid/vgg16.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=vgg16 \
--device=GPU \
--batch_size=32 \
--data_set=flowers \
--skip_batch_num=5 \
--iterations=30 \
2>&1 | tee -a vgg16_gpu_flowers_32.log
2>&1 | tee -a logs/vgg16_gpu_flowers_32.log
# resnet50
# resnet50 gpu cifar10 128
FLAGS_benchmark=true stdbuf -oL python fluid/resnet50.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=resnet \
--device=GPU \
--batch_size=128 \
--data_set=cifar10 \
--model=resnet_cifar10 \
--skip_batch_num=5 \
--iterations=30 \
2>&1 | tee -a resnet50_gpu_128.log
2>&1 | tee -a logs/resnet50_gpu_128.log
# resnet50 gpu flowers 64
FLAGS_benchmark=true stdbuf -oL python fluid/resnet50.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=resnet \
--device=GPU \
--batch_size=64 \
--data_set=flowers \
--model=resnet_imagenet \
--skip_batch_num=5 \
--iterations=30 \
2>&1 | tee -a resnet50_gpu_flowers_64.log
2>&1 | tee -a logs/resnet50_gpu_flowers_64.log
# lstm
# lstm gpu imdb 32 # tensorflow only support batch=32
FLAGS_benchmark=true stdbuf -oL python fluid/stacked_dynamic_lstm.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=stacked_dynamic_lstm \
--device=GPU \
--batch_size=32 \
--skip_batch_num=5 \
--iterations=30 \
--hidden_dim=512 \
--emb_dim=512 \
--crop_size=1500 \
2>&1 | tee -a lstm_gpu_32.log
2>&1 | tee -a logs/lstm_gpu_32.log
# seq2seq
# seq2seq gpu wmb 128
FLAGS_benchmark=true stdbuf -oL python fluid/machine_translation.py \
FLAGS_benchmark=true stdbuf -oL python fluid_benchmark.py \
--model=machine_translation \
--device=GPU \
--batch_size=128 \
--skip_batch_num=5 \
--iterations=30 \
2>&1 | tee -a lstm_gpu_128.log
2>&1 | tee -a logs/lstm_gpu_128.log
benchmark/fluid/run_fluid_benchmark.sh 0 → 100644
浏览文件 @ e043fe26
#!/bin/bash
PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device CPU --update_method pserver --iterations=10000 &
sleep 15
CUDA_VISIBLE_DEVICES=0,1 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &
CUDA_VISIBLE_DEVICES=2,3 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=1 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &
cmake/cblas.cmake
浏览文件 @ e043fe26
......@@ -83,18 +83,20 @@ else()
set(REFERENCE_CBLAS_LIB_SEARCH_PATHS ${REFERENCE_CBLAS_ROOT}/lib)
endif()
find_path(REFERENCE_CBLAS_INCLUDE_DIR NAMES cblas.h PATHS
if(WITH_SYSTEM_BLAS)
find_path(REFERENCE_CBLAS_INCLUDE_DIR NAMES cblas.h PATHS
${REFERENCE_CBLAS_INCLUDE_SEARCH_PATHS})
find_library(REFERENCE_CBLAS_LIBRARY NAMES cblas PATHS
find_library(REFERENCE_CBLAS_LIBRARY NAMES cblas PATHS
${REFERENCE_CBLAS_LIB_SEARCH_PATHS})
if(REFERENCE_CBLAS_INCLUDE_DIR AND REFERENCE_CBLAS_LIBRARY)
set(CBLAS_FOUND ON)
set(CBLAS_PROVIDER REFERENCE)
set(CBLAS_INC_DIR ${REFERENCE_CBLAS_INCLUDE_DIR})
set(CBLAS_LIBRARIES ${REFERENCE_CBLAS_LIBRARY})
add_definitions(-DPADDLE_USE_REFERENCE_CBLAS)
message(STATUS "Found reference-cblas (include: ${CBLAS_INC_DIR}, library: ${CBLAS_LIBRARIES})")
if(REFERENCE_CBLAS_INCLUDE_DIR AND REFERENCE_CBLAS_LIBRARY)
set(CBLAS_FOUND ON)
set(CBLAS_PROVIDER REFERENCE)
set(CBLAS_INC_DIR ${REFERENCE_CBLAS_INCLUDE_DIR})
set(CBLAS_LIBRARIES ${REFERENCE_CBLAS_LIBRARY})
add_definitions(-DPADDLE_USE_REFERENCE_CBLAS)
message(STATUS "Found reference-cblas (include: ${CBLAS_INC_DIR}, library: ${CBLAS_LIBRARIES})")
endif()
endif()
if(IOS_USE_VECLIB_FOR_BLAS AND VECLIB_FOUND)
......
cmake/configure.cmake
浏览文件 @ e043fe26
......@@ -92,6 +92,9 @@ if(WITH_GPU)
if(${CUDNN_MAJOR_VERSION} VERSION_LESS 7)
message(FATAL_ERROR "TensorRT needs CUDNN >= 7.0 to compile")
endif()
if(${TENSORRT_MAJOR_VERSION} VERSION_LESS 4)
message(FATAL_ERROR "Paddle needs TensorRT >= 4.0 to compile")
endif()
include_directories(${TENSORRT_INCLUDE_DIR})
endif()
elseif(WITH_AMD_GPU)
......@@ -115,6 +118,10 @@ endif()
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${SIMD_FLAG}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${SIMD_FLAG}")
if(WITH_DISTRIBUTE)
add_definitions(-DPADDLE_WITH_DISTRIBUTE)
endif()
if(WITH_GOLANG)
# we need to symlink Paddle directory into GOPATH. If we
# don't do it and we have code that depends on Paddle, go
......@@ -163,3 +170,11 @@ if(WITH_GOLANG)
endif()
endif(WITH_GOLANG)
if(WITH_GRPC)
add_definitions(-DPADDLE_WITH_GRPC)
endif(WITH_GRPC)
if(WITH_BRPC_RDMA)
add_definitions(-DPADDLE_WITH_BRPC_RDMA)
endif(WITH_BRPC_RDMA)
cmake/external/anakin.cmake 0 → 100644
浏览文件 @ e043fe26
if (NOT WITH_ANAKIN)
return()
endif()
set(ANAKIN_INSTALL_DIR "${THIRD_PARTY_PATH}/install/anakin" CACHE PATH
"Anakin install path." FORCE)
set(ANAKIN_INCLUDE "${ANAKIN_INSTALL_DIR}" CACHE STRING "root of Anakin header files")
set(ANAKIN_LIBRARY "${ANAKIN_INSTALL_DIR}" CACHE STRING "path of Anakin library")
set(ANAKIN_COMPILE_EXTRA_FLAGS -Wno-error=unused-variable -Wno-error=format-extra-args -Wno-error=comment -Wno-error=format -Wno-error=switch -Wno-error=return-type -Wno-error=non-virtual-dtor -Wno-reorder -Wno-error=cpp)
set(ANAKIN_LIBRARY_URL "https://github.com/pangge/Anakin/releases/download/3.0/anakin_release_simple.tar.gz")
# A helper function used in Anakin, currently, to use it, one need to recursively include
# nearly all the header files.
function(fetch_include_recursively root_dir)
if (IS_DIRECTORY ${root_dir})
include_directories(${root_dir})
endif()
file(GLOB ALL_SUB RELATIVE ${root_dir} ${root_dir}/*)
foreach(sub ${ALL_SUB})
if (IS_DIRECTORY ${root_dir}/${sub})
fetch_include_recursively(${root_dir}/${sub})
endif()
endforeach()
endfunction()
if (NOT EXISTS "${ANAKIN_INSTALL_DIR}")
# download library
message(STATUS "Download Anakin library from ${ANAKIN_LIBRARY_URL}")
execute_process(COMMAND bash -c "mkdir -p ${ANAKIN_INSTALL_DIR}")
execute_process(COMMAND bash -c "rm -rf ${ANAKIN_INSTALL_DIR}/*")
execute_process(COMMAND bash -c "cd ${ANAKIN_INSTALL_DIR}; wget -q ${ANAKIN_LIBRARY_URL}")
execute_process(COMMAND bash -c "mkdir -p ${ANAKIN_INSTALL_DIR}")
execute_process(COMMAND bash -c "cd ${ANAKIN_INSTALL_DIR}; tar xzf anakin_release_simple.tar.gz")
endif()
if (WITH_ANAKIN)
message(STATUS "Anakin for inference is enabled")
message(STATUS "Anakin is set INCLUDE:${ANAKIN_INCLUDE} LIBRARY:${ANAKIN_LIBRARY}")
fetch_include_recursively(${ANAKIN_INCLUDE})
link_directories(${ANAKIN_LIBRARY})
endif()
cmake/external/brpc.cmake 0 → 100644
浏览文件 @ e043fe26
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
#
# 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(ExternalProject)
find_library(SSL_LIBRARY NAMES ssl)
ADD_LIBRARY(ssl SHARED IMPORTED GLOBAL)
SET_PROPERTY(TARGET ssl PROPERTY IMPORTED_LOCATION ${SSL_LIBRARY})
find_library(CRYPTO_LIBRARY NAMES crypto)
ADD_LIBRARY(crypto SHARED IMPORTED GLOBAL)
SET_PROPERTY(TARGET crypto PROPERTY IMPORTED_LOCATION ${CRYPTO_LIBRARY})
SET(BRPC_SOURCES_DIR ${THIRD_PARTY_PATH}/brpc)
SET(BRPC_INSTALL_DIR ${THIRD_PARTY_PATH}/install/brpc)
SET(BRPC_INCLUDE_DIR "${BRPC_INSTALL_DIR}/include" CACHE PATH "brpc include directory." FORCE)
SET(BRPC_LIBRARIES "${BRPC_INSTALL_DIR}/lib/libbrpc.a" CACHE FILEPATH "brpc library." FORCE)
INCLUDE_DIRECTORIES(${BRPC_INCLUDE_DIR})
# Reference https://stackoverflow.com/questions/45414507/pass-a-list-of-prefix-paths-to-externalproject-add-in-cmake-args
set(prefix_path "${THIRD_PARTY_PATH}/install/gflags|${THIRD_PARTY_PATH}/install/leveldb|${THIRD_PARTY_PATH}/install/snappy|${THIRD_PARTY_PATH}/install/gtest|${THIRD_PARTY_PATH}/install/protobuf|${THIRD_PARTY_PATH}/install/zlib")
# If minimal .a is need, you can set WITH_DEBUG_SYMBOLS=OFF
ExternalProject_Add(
extern_brpc
${EXTERNAL_PROJECT_LOG_ARGS}
GIT_REPOSITORY "https://github.com/gongweibao/brpc"
GIT_TAG "7dc04defad1fd4173aae170c3fcbde131b65155a"
PREFIX ${BRPC_SOURCES_DIR}
UPDATE_COMMAND ""
CMAKE_ARGS -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}
-DCMAKE_C_COMPILER=${CMAKE_C_COMPILER}
-DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}
-DCMAKE_C_FLAGS=${CMAKE_C_FLAGS}
-DCMAKE_INSTALL_PREFIX=${BRPC_INSTALL_DIR}
-DCMAKE_INSTALL_LIBDIR=${BRPC_INSTALL_DIR}/lib
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
-DCMAKE_BUILD_TYPE=${THIRD_PARTY_BUILD_TYPE}
-DCMAKE_PREFIX_PATH=${prefix_path}
-DBRPC_WITH_GLOG=ON
-DIOBUF_WITH_HUGE_BLOCK=ON
-DBRPC_WITH_RDMA=${WITH_BRPC_RDMA}
${EXTERNAL_OPTIONAL_ARGS}
LIST_SEPARATOR |
CMAKE_CACHE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${BRPC_INSTALL_DIR}
-DCMAKE_INSTALL_LIBDIR:PATH=${BRPC_INSTALL_DIR}/lib
-DCMAKE_POSITION_INDEPENDENT_CODE:BOOL=ON
-DCMAKE_BUILD_TYPE:STRING=${THIRD_PARTY_BUILD_TYPE}
)
ADD_DEPENDENCIES(extern_brpc protobuf ssl crypto leveldb gflags glog gtest snappy)
ADD_LIBRARY(brpc STATIC IMPORTED GLOBAL)
SET_PROPERTY(TARGET brpc PROPERTY IMPORTED_LOCATION ${BRPC_LIBRARIES})
ADD_DEPENDENCIES(brpc extern_brpc)
LIST(APPEND external_project_dependencies brpc)
cmake/external/grpc.cmake
浏览文件 @ e043fe26
......@@ -33,10 +33,19 @@ ELSE()
SET(BUILD_CMD make HAS_SYSTEM_PROTOBUF=false -s -j ${NUM_OF_PROCESSOR} static grpc_cpp_plugin)
ENDIF()
# FIXME(wuyi): do not build zlib cares protobuf twice, find a way to build grpc with them
ExternalProject_Add(
extern_grpc
DEPENDS protobuf zlib
URL "http://paddlepaddledeps.bj.bcebos.com/grpc.tar.xz"
# NOTE(wuyi):
# this package is generated by following steps:
# 1. git clone -b v1.8.x https://github.com/grpc/grpc.git
# 2. git submodule update --init
# 3. keep only zlib, cares, protobuf, boringssl under "third_party",
# checkout and clean other dirs under third_party
# 4. remove .git, and package the directory.
URL "http://paddlepaddledeps.bj.bcebos.com/grpc-v1.10.x.tar.gz"
URL_MD5 "1f268a2aff6759839dccd256adcc91cf"
PREFIX ${GRPC_SOURCES_DIR}
UPDATE_COMMAND ""
CONFIGURE_COMMAND ""
......@@ -49,7 +58,6 @@ ExternalProject_Add(
INSTALL_COMMAND make prefix=${GRPC_INSTALL_DIR} install
)
# FIXME(typhoonzero): hack to get static lib path, try a better way like merge them.
ADD_LIBRARY(grpc++_unsecure STATIC IMPORTED GLOBAL)
SET_PROPERTY(TARGET grpc++_unsecure PROPERTY IMPORTED_LOCATION
"${GRPC_INSTALL_DIR}/lib/libgrpc++_unsecure.a")
......
cmake/external/leveldb.cmake 0 → 100644
浏览文件 @ e043fe26
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
#
# 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(ExternalProject)
SET(LEVELDB_SOURCES_DIR ${THIRD_PARTY_PATH}/leveldb)
SET(LEVELDB_INSTALL_DIR ${THIRD_PARTY_PATH}/install/leveldb)
SET(LEVELDB_INCLUDE_DIR "${LEVELDB_INSTALL_DIR}/include" CACHE PATH "leveldb include directory." FORCE)
SET(LEVELDB_LIBRARIES "${LEVELDB_INSTALL_DIR}/lib/libleveldb.a" CACHE FILEPATH "leveldb library." FORCE)
INCLUDE_DIRECTORIES(${LEVELDB_INCLUDE_DIR})
ExternalProject_Add(
extern_leveldb
${EXTERNAL_PROJECT_LOG_ARGS}
PREFIX ${LEVELDB_SOURCES_DIR}
URL "https://github.com/google/leveldb/archive/v1.18.tar.gz"
URL_MD5 "73770de34a2a5ab34498d2e05b2b7fa0"
CONFIGURE_COMMAND ""
BUILD_COMMAND CXXFLAGS=-fPIC make -j ${NUM_OF_PROCESSOR} libleveldb.a
INSTALL_COMMAND mkdir -p ${LEVELDB_INSTALL_DIR}/lib/
&& cp ${LEVELDB_SOURCES_DIR}/src/extern_leveldb/libleveldb.a ${LEVELDB_LIBRARIES}
&& cp -r ${LEVELDB_SOURCES_DIR}/src/extern_leveldb/include ${LEVELDB_INSTALL_DIR}/
BUILD_IN_SOURCE 1
)
ADD_DEPENDENCIES(extern_leveldb snappy)
ADD_LIBRARY(leveldb STATIC IMPORTED GLOBAL)
SET_PROPERTY(TARGET leveldb PROPERTY IMPORTED_LOCATION ${LEVELDB_LIBRARIES})
ADD_DEPENDENCIES(leveldb extern_leveldb)
LIST(APPEND external_project_dependencies leveldb)
cmake/external/mkldnn.cmake
浏览文件 @ e043fe26
......@@ -45,7 +45,8 @@ IF(${CBLAS_PROVIDER} STREQUAL "MKLML")
ELSE()
MESSAGE(FATAL_ERROR "Should enable MKLML when build MKLDNN")
ENDIF()
SET(MKLDNN_FLAG "-Wno-error=strict-overflow -Wno-error=unused-result -Wno-unused-result")
SET(MKLDNN_FLAG "-Wno-error=strict-overflow -Wno-error=unused-result")
SET(MKLDNN_FLAG "${MKLDNN_FLAG} -Wno-unused-result -Wno-unused-value")
SET(MKLDNN_CFLAG "${CMAKE_C_FLAGS} ${MKLDNN_FLAG}")
SET(MKLDNN_CXXFLAG "${CMAKE_CXX_FLAGS} ${MKLDNN_FLAG}")
ExternalProject_Add(
......@@ -53,7 +54,7 @@ ExternalProject_Add(
${EXTERNAL_PROJECT_LOG_ARGS}
DEPENDS ${MKLDNN_DEPENDS}
GIT_REPOSITORY "https://github.com/01org/mkl-dnn.git"
GIT_TAG "db3424ad44901513c03a1ea31ccaacdf633fbe9f"
GIT_TAG "a29d8487a63afca3d5b8c5bbdbb473cf8ccc6e51"
PREFIX ${MKLDNN_SOURCES_DIR}
UPDATE_COMMAND ""
CMAKE_ARGS -DCMAKE_INSTALL_PREFIX=${MKLDNN_INSTALL_DIR}
......
cmake/external/openblas.cmake
浏览文件 @ e043fe26
......@@ -29,6 +29,8 @@ IF(NOT ${CBLAS_FOUND})
"${CBLAS_INSTALL_DIR}/lib/${CMAKE_STATIC_LIBRARY_PREFIX}openblas${CMAKE_STATIC_LIBRARY_SUFFIX}"
CACHE FILEPATH "openblas library." FORCE)
ADD_DEFINITIONS(-DPADDLE_USE_OPENBLAS)
SET(OPENBLAS_CC "${CMAKE_C_COMPILER} -Wno-unused-but-set-variable -Wno-unused-variable")
SET(OPENBLAS_COMMIT "v0.2.20")
......@@ -112,7 +114,12 @@ INCLUDE_DIRECTORIES(${CBLAS_INC_DIR})
SET(dummyfile ${CMAKE_CURRENT_BINARY_DIR}/cblas_dummy.c)
FILE(WRITE ${dummyfile} "const char *dummy_cblas = \"${dummyfile}\";")
ADD_LIBRARY(cblas STATIC ${dummyfile})
TARGET_LINK_LIBRARIES(cblas ${CBLAS_LIBRARIES})
IF("${CBLAS_PROVIDER}" STREQUAL "MKLML")
TARGET_LINK_LIBRARIES(cblas dynload_mklml)
ELSE()
TARGET_LINK_LIBRARIES(cblas ${CBLAS_LIBRARIES})
ENDIF("${CBLAS_PROVIDER}" STREQUAL "MKLML")
IF(NOT ${CBLAS_FOUND})
ADD_DEPENDENCIES(cblas extern_openblas)
......
cmake/generic.cmake
浏览文件 @ e043fe26
......@@ -96,6 +96,20 @@ if(NOT APPLE AND NOT ANDROID)
set(CMAKE_CXX_LINK_EXECUTABLE "${CMAKE_CXX_LINK_EXECUTABLE} -pthread -ldl -lrt")
endif(NOT APPLE AND NOT ANDROID)
set_property(GLOBAL PROPERTY FLUID_MODULES "")
# find all fluid modules is used for paddle fluid static library
# for building inference libs
function(find_fluid_modules TARGET_NAME)
get_filename_component(__target_path ${TARGET_NAME} ABSOLUTE)
string(REGEX REPLACE "^${PADDLE_SOURCE_DIR}/" "" __target_path ${__target_path})
string(FIND "${__target_path}" "fluid" pos)
if(pos GREATER 1)
get_property(fluid_modules GLOBAL PROPERTY FLUID_MODULES)
set(fluid_modules ${fluid_modules} ${TARGET_NAME})
set_property(GLOBAL PROPERTY FLUID_MODULES "${fluid_modules}")
endif()
endfunction(find_fluid_modules)
function(merge_static_libs TARGET_NAME)
set(libs ${ARGN})
list(REMOVE_DUPLICATES libs)
......@@ -195,6 +209,15 @@ function(cc_library TARGET_NAME)
list(REMOVE_ITEM cc_library_DEPS warpctc)
add_dependencies(${TARGET_NAME} warpctc)
endif()
# Only deps libmklml.so, not link
if("${cc_library_DEPS};" MATCHES "mklml;")
list(REMOVE_ITEM cc_library_DEPS mklml)
if(NOT "${TARGET_NAME}" MATCHES "dynload_mklml")
list(APPEND cc_library_DEPS dynload_mklml)
endif()
add_dependencies(${TARGET_NAME} mklml)
target_link_libraries(${TARGET_NAME} "-L${MKLML_LIB_DIR} -liomp5 -Wl,--as-needed")
endif()
target_link_libraries(${TARGET_NAME} ${cc_library_DEPS})
add_dependencies(${TARGET_NAME} ${cc_library_DEPS})
endif()
......@@ -234,13 +257,14 @@ function(cc_test TARGET_NAME)
set(multiValueArgs SRCS DEPS ARGS)
cmake_parse_arguments(cc_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_executable(${TARGET_NAME} ${cc_test_SRCS})
target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main memory gtest gflags glog)
target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
add_test(NAME ${TARGET_NAME}
COMMAND ${TARGET_NAME} ${cc_test_ARGS}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
if (${cc_test_SERIAL})
set_property(TEST ${TARGET_NAME} PROPERTY SERIAL 1)
set_property(TEST ${TARGET_NAME} PROPERTY ENVIRONMENT FLAGS_init_allocated_mem=true)
endif()
endif()
endfunction(cc_test)
......@@ -300,11 +324,12 @@ function(nv_test TARGET_NAME)
set(multiValueArgs SRCS DEPS)
cmake_parse_arguments(nv_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
cuda_add_executable(${TARGET_NAME} ${nv_test_SRCS})
target_link_libraries(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main memory gtest gflags glog)
target_link_libraries(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
add_dependencies(${TARGET_NAME} ${nv_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
add_test(${TARGET_NAME} ${TARGET_NAME})
if (nv_test_SERIAL)
set_property(TEST ${TARGET_NAME} PROPERTY SERIAL 1)
set_property(TEST ${TARGET_NAME} PROPERTY ENVIRONMENT FLAGS_init_allocated_mem=true)
endif()
endif()
endfunction(nv_test)
......@@ -552,7 +577,7 @@ function(py_test TARGET_NAME)
set(multiValueArgs SRCS DEPS ARGS ENVS)
cmake_parse_arguments(py_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_test(NAME ${TARGET_NAME}
COMMAND env PYTHONPATH=${PADDLE_BINARY_DIR}/python ${py_test_ENVS}
COMMAND env FLAGS_init_allocated_mem=true PYTHONPATH=${PADDLE_BINARY_DIR}/python ${py_test_ENVS}
${PYTHON_EXECUTABLE} -u ${py_test_SRCS} ${py_test_ARGS}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
endif()
......@@ -610,3 +635,21 @@ function(grpc_library TARGET_NAME)
COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
cc_library("${TARGET_NAME}" SRCS "${grpc_library_SRCS}" DEPS "${TARGET_NAME}_grpc" "${TARGET_NAME}_proto" "${grpc_library_DEPS}")
endfunction()
function(brpc_library TARGET_NAME)
set(oneValueArgs PROTO)
set(multiValueArgs SRCS DEPS)
set(options "")
cmake_parse_arguments(brpc_library "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
message(STATUS "generating brpc ${brpc_library_PROTO}")
get_filename_component(ABS_PROTO ${brpc_library_PROTO} ABSOLUTE)
get_filename_component(PROTO_WE ${brpc_library_PROTO} NAME_WE)
get_filename_component(PROTO_PATH ${ABS_PROTO} PATH)
protobuf_generate_cpp(brpc_proto_srcs brpc_proto_hdrs "${ABS_PROTO}")
cc_library("${TARGET_NAME}_proto" SRCS "${brpc_proto_srcs}")
cc_library("${TARGET_NAME}" SRCS "${brpc_library_SRCS}" DEPS "${TARGET_NAME}_proto" "${brpc_library_DEPS}")
endfunction()
cmake/inference_lib.cmake
浏览文件 @ e043fe26
......@@ -12,19 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
set_property(GLOBAL PROPERTY FLUID_MODULES "")
# find all fluid modules is used for paddle fluid static library
function(find_fluid_modules TARGET_NAME)
get_filename_component(__target_path ${TARGET_NAME} ABSOLUTE)
string(REGEX REPLACE "^${PADDLE_SOURCE_DIR}/" "" __target_path ${__target_path})
string(FIND "${__target_path}" "fluid" pos)
if(pos GREATER 1)
get_property(fluid_modules GLOBAL PROPERTY FLUID_MODULES)
set(fluid_modules ${fluid_modules} ${TARGET_NAME})
set_property(GLOBAL PROPERTY FLUID_MODULES "${fluid_modules}")
endif()
endfunction(find_fluid_modules)
# make package for paddle fluid shared and static library
function(copy TARGET)
set(options "")
......@@ -39,7 +26,7 @@ function(copy TARGET)
message(FATAL_ERROR "${TARGET} source numbers are not equal to destination numbers")
endif()
math(EXPR len "${copy_lib_SRCS_len} - 1")
add_custom_target(${TARGET} DEPENDS ${copy_lib_DEPS})
foreach(index RANGE ${len})
list(GET copy_lib_SRCS ${index} src)
......@@ -149,8 +136,29 @@ copy(memory_lib
DSTS ${dst_dir}/${module} ${dst_dir}/${module}/detail
)
set(inference_deps paddle_fluid_shared paddle_fluid)
if(WITH_CONTRIB)
message(STATUS "installing contrib")
set(contrib_dst_dir "${FLUID_INSTALL_DIR}/contrib/inference")
if (WITH_ANAKIN AND WITH_GPU)
copy(contrib_anakin_inference_lib DEPS paddle_inference_api inference_anakin_api
SRCS
${PADDLE_BINARY_DIR}/paddle/contrib/inference/libinference_anakin_api* # compiled anakin api
${PADDLE_BINARY_DIR}/third_party/install/anakin/*.tar.gz # anakin release
DSTS ${contrib_dst_dir}/anakin ${contrib_dst_dir}/anakin)
list(APPEND inference_deps contrib_anakin_inference_lib)
endif()
copy(contrib_inference_lib DEPS paddle_inference_api paddle_inference_api_shared
SRCS ${PADDLE_SOURCE_DIR}/paddle/contrib/inference/paddle_inference_api.h
${PADDLE_BINARY_DIR}/paddle/contrib/inference/libpaddle_inference_api*
DSTS ${contrib_dst_dir} ${contrib_dst_dir})
list(APPEND inference_deps contrib_inference_lib)
endif()
set(module "inference")
copy(inference_lib DEPS paddle_fluid_shared paddle_fluid
copy(inference_lib DEPS ${inference_deps}
SRCS ${src_dir}/${module}/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/inference/libpaddle_fluid.*
DSTS ${dst_dir}/${module} ${dst_dir}/${module}
)
......
cmake/version.cmake
浏览文件 @ e043fe26
# Get the latest git tag.
set(PADDLE_VERSION $ENV{PADDLE_VERSION})
set(tmp_version "HEAD")
set(TAG_VERSION_REGEX "[0-9]+\\.[0-9]+\\.[0-9]+(\\.(a|b|rc)\\.[0-9]+)?")
set(COMMIT_VERSION_REGEX "[0-9a-f]+[0-9a-f]+[0-9a-f]+[0-9a-f]+[0-9a-f]+")
while ("${PADDLE_VERSION}" STREQUAL "")
execute_process(
COMMAND ${GIT_EXECUTABLE} describe --tags --abbrev=0 ${tmp_version}
COMMAND ${GIT_EXECUTABLE} describe --tags --abbrev=0 --always ${tmp_version}
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}
OUTPUT_VARIABLE GIT_TAG_NAME
RESULT_VARIABLE GIT_RESULT
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
if (NOT ${GIT_RESULT})
# Check the tag is a correct version
if (${GIT_TAG_NAME} MATCHES "v[0-9]+\\.[0-9]+\\.[0-9]+(\\.(a|b|rc)\\.[0-9]+)?")
if (${GIT_TAG_NAME} MATCHES "${COMMIT_VERSION_REGEX}")
# if no tag was found, set PADDLE_VERSION to latest
set(PADDLE_VERSION "latest")
elseif (${GIT_TAG_NAME} MATCHES "v${TAG_VERSION_REGEX}")
string(REPLACE "v" "" PADDLE_VERSION ${GIT_TAG_NAME})
else() # otherwise, get the previous git tag name.
set(tmp_version "${GIT_TAG_NAME}~1")
......
doc/about/about_us.rst 0 → 100644
浏览文件 @ e043fe26
=========
关于我们
=========
什么是PaddlePaddle
--------------------
- PaddlePaddle是百度自主研发并开源的深度学习框架，它能够让开发者和企业安全、快速地实现自己的AI想法
- 项目团队汇聚了全球顶级的深度学习科学家，致力于为开发者和企业提供最好的深度学习研发体验
- 框架具有易学、易用、安全、高效四大特性，是最适合中国开发者和企业的深度学习工具
PaddlePaddle的技术特色
-------------------------
- 新一代深度学习框架： PaddlePaddle是基于“深度学习编程语言”的新一代深度学习框架，在保证性能的同时，极大的提升了框架对模型的表达能力，能够描述任意潜在可能出现的模型
- 对大规模计算更加友好：经过百度内多种大规模计算业务的打磨，PaddlePaddle在分布式计算上表现优异，基于EDL技术能够节约大量计算资源，同时也能支持大规模稀疏模型的训练
- 提供可视化的深度学习：通过Visual DL可以帮助开发者方便的观测训练整体趋势、数据样本质量和中间结果、参数分布和变化趋势、以及模型的结构，帮助开发者更便捷的完成编程过程
提供基于PaddlePaddle的教育体系
--------------------------------
- 深度学习课程：百度与中国市场顶级的教育、培训机构共同开发了深度学习精品课程以及学习教材，帮助开发者从零掌握深度学习
- 深度学习实训：对于目的是科研和学习的用户，PaddlePaddle提供了无需安装、线上运行的开发环境，并提供算法、算力、数据支持
- 线下培训：提供丰富、高质量的线下教育活动，如青年教师培训、线下实战营、沙龙等多种形式的培训和交流
提供基于PaddlePaddle的AI服务
------------------------------
- EadyDL：可以帮助零算法基础的企业快速完成一个深度学习任务，只需少量的数据即可得到优质的模型
- AI市场：提供标准化的AI 能力、产品的交易机制，帮助企业快速找到所需，有效开展AI业务
- 深度学习竞赛： PaddlePaddle汇聚顶尖深度学习开发者，企业可以发布自己的商业问题，通过竞赛方式快速找到最优的解决方案
你对PaddlePaddle有任何的问题都可以通过以下方式联系到我们
-----------------------------------------------------------
- 学习/使用问题：可以在 `PaddlePaddle开源社区 <https://github.com/PaddlePaddle/Paddle/issues>`_，以及 `PaddlePaddle中文社区 <http://ai.baidu.com/forum/topic/list/168>`_ 向我们反馈
- 对PaddlePaddle框架发展的建议：可发送邮件至Paddle-better@baidu.com
我们期待与你一起打造世界顶级深度学习框架，共同推动AI技术的进步
PaddlePaddle团队
doc/fluid/api/average.rst 0 → 100644
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=============
fluid.average
=============
.. _api_fluid_average_WeightedAverage:
WeightedAverage
---------------
.. autoclass:: paddle.fluid.average.WeightedAverage
:members:
:noindex:
doc/fluid/api/backward.rst 0 → 100644
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
==============
fluid.backward
==============
.. _api_fluid_backward_append_backward:
append_backward
---------------
.. autofunction:: paddle.fluid.backward.append_backward
:noindex:
.. _api_fluid_backward_calc_gradient:
calc_gradient
-------------
.. autofunction:: paddle.fluid.backward.calc_gradient
:noindex:
doc/fluid/api/clip.rst
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
====
clip
====
==========
fluid.clip
==========
.. _api_fluid_clip_ErrorClipByValue:
ErrorClipByValue
----------------
......@@ -12,6 +14,8 @@ ErrorClipByValue
:members:
:noindex:
.. _api_fluid_clip_GradientClipByValue:
GradientClipByValue
-------------------
......@@ -19,6 +23,8 @@ GradientClipByValue
:members:
:noindex:
.. _api_fluid_clip_GradientClipByNorm:
GradientClipByNorm
------------------
......@@ -26,6 +32,8 @@ GradientClipByNorm
:members:
:noindex:
.. _api_fluid_clip_GradientClipByGlobalNorm:
GradientClipByGlobalNorm
------------------------
......@@ -33,15 +41,3 @@ GradientClipByGlobalNorm
:members:
:noindex:
append_gradient_clip_ops
------------------------
.. autofunction:: paddle.fluid.clip.append_gradient_clip_ops
:noindex:
error_clip_callback
-------------------
.. autofunction:: paddle.fluid.clip.error_clip_callback
:noindex:
doc/fluid/api/data.rst 已删除 100644 → 0
浏览文件 @ 3a29821b
==================================
Data Reader Interface and DataSets
==================================
.. toctree::
:maxdepth: 1
data/data_reader.rst
data/image.rst
data/dataset.rst
doc/fluid/api/data_feeder.rst
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
===========
data_feeder
===========
=================
fluid.data_feeder
=================
.. _api_fluid_data_feeder_DataFeeder:
DataFeeder
----------
......
doc/fluid/api/evaluator.rst 已删除 100644 → 0
浏览文件 @ 3a29821b
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=========
evaluator
=========
doc/fluid/api/executor.rst
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
========
executor
========
==============
fluid.executor
==============
.. _api_fluid_executor_Executor:
Executor
--------
......@@ -12,24 +14,32 @@ Executor
:members:
:noindex:
.. _api_fluid_executor_global_scope:
global_scope
------------
.. autofunction:: paddle.fluid.executor.global_scope
:noindex:
.. _api_fluid_executor_scope_guard:
scope_guard
-----------
.. autofunction:: paddle.fluid.executor.scope_guard
:noindex:
switch_scope
------------
.. _api_fluid_executor__switch_scope:
_switch_scope
-------------
.. autofunction:: paddle.fluid.executor.switch_scope
.. autofunction:: paddle.fluid.executor._switch_scope
:noindex:
.. _api_fluid_executor_fetch_var:
fetch_var
---------
......
doc/fluid/api/fluid.rst 0 → 100644
浏览文件 @ e043fe26
.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=====
fluid
=====
.. _api_fluid_Block:
Block
-----
.. autoclass:: paddle.fluid.Block
:members:
:noindex:
.. _api_fluid_Variable:
Variable
--------
.. autoclass:: paddle.fluid.Variable
:members:
:noindex:
.. _api_fluid_Program:
Program
-------
.. autoclass:: paddle.fluid.Program
:members:
:noindex:
.. _api_fluid_Operator:
Operator
--------
.. autoclass:: paddle.fluid.Operator
:members:
:noindex:
.. _api_fluid_default_startup_program:
default_startup_program
-----------------------
.. autofunction:: paddle.fluid.default_startup_program
:noindex:
.. _api_fluid_default_main_program:
default_main_program
--------------------
.. autofunction:: paddle.fluid.default_main_program
:noindex:
.. _api_fluid_program_guard:
program_guard
-------------
.. autofunction:: paddle.fluid.program_guard
:noindex:
.. _api_fluid_get_var:
get_var
-------
.. autofunction:: paddle.fluid.get_var
:noindex:
.. _api_fluid_Executor:
Executor
--------
.. autoclass:: paddle.fluid.Executor
:members:
:noindex:
.. _api_fluid_global_scope:
global_scope
------------
.. autofunction:: paddle.fluid.global_scope
:noindex:
.. _api_fluid_scope_guard:
scope_guard
-----------
.. autofunction:: paddle.fluid.scope_guard
:noindex:
.. _api_fluid__switch_scope:
_switch_scope
-------------
.. autofunction:: paddle.fluid._switch_scope
:noindex:
.. _api_fluid_fetch_var:
fetch_var
---------
.. autofunction:: paddle.fluid.fetch_var
:noindex:
.. _api_fluid_Go:
Go
--
.. autoclass:: paddle.fluid.Go
:members:
:noindex:
.. _api_fluid_make_channel:
make_channel
------------
.. autofunction:: paddle.fluid.make_channel
:noindex:
.. _api_fluid_channel_send:
channel_send
------------
.. autofunction:: paddle.fluid.channel_send
:noindex:
.. _api_fluid_channel_recv:
channel_recv
------------
.. autofunction:: paddle.fluid.channel_recv
:noindex:
.. _api_fluid_channel_close:
channel_close
-------------
.. autofunction:: paddle.fluid.channel_close
:noindex:
.. _api_fluid_Select:
Select
------
.. autoclass:: paddle.fluid.Select
:members:
:noindex:
.. _api_fluid_Trainer:
Trainer
-------
.. autoclass:: paddle.fluid.Trainer
:members:
:noindex:
.. _api_fluid_BeginEpochEvent:
BeginEpochEvent
---------------
.. autoclass:: paddle.fluid.BeginEpochEvent
:members:
:noindex:
.. _api_fluid_EndEpochEvent:
EndEpochEvent
-------------
.. autoclass:: paddle.fluid.EndEpochEvent
:members:
:noindex:
.. _api_fluid_BeginStepEvent:
BeginStepEvent
--------------
.. autoclass:: paddle.fluid.BeginStepEvent
:members:
:noindex:
.. _api_fluid_EndStepEvent:
EndStepEvent
------------
.. autoclass:: paddle.fluid.EndStepEvent
:members:
:noindex:
.. _api_fluid_CheckpointConfig:
CheckpointConfig
----------------
.. autoclass:: paddle.fluid.CheckpointConfig
:members:
:noindex:
.. _api_fluid_Inferencer:
Inferencer
----------
.. autoclass:: paddle.fluid.Inferencer
:members:
:noindex:
.. _api_fluid_DistributeTranspiler:
DistributeTranspiler
--------------------
.. autoclass:: paddle.fluid.DistributeTranspiler
:members:
:noindex:
.. _api_fluid_memory_optimize:
memory_optimize
---------------
.. autofunction:: paddle.fluid.memory_optimize
:noindex:
.. _api_fluid_release_memory:
release_memory
--------------
.. autofunction:: paddle.fluid.release_memory
:noindex:
.. _api_fluid_ParallelExecutor:
ParallelExecutor
----------------
.. autoclass:: paddle.fluid.ParallelExecutor
:members:
:noindex:
.. _api_fluid_ExecutionStrategy:
ExecutionStrategy
-----------------
.. autoclass:: paddle.fluid.ExecutionStrategy
:members:
:noindex:
.. _api_fluid_BuildStrategy:
BuildStrategy
-------------
.. autoclass:: paddle.fluid.BuildStrategy
:members:
:noindex:
.. _api_fluid_create_lod_tensor:
create_lod_tensor
-----------------
.. autofunction:: paddle.fluid.create_lod_tensor
:noindex:
.. _api_fluid_create_random_int_lodtensor:
create_random_int_lodtensor
---------------------------
.. autofunction:: paddle.fluid.create_random_int_lodtensor
:noindex:
.. _api_fluid_LoDTensor:
LoDTensor
---------
.. autoclass:: paddle.fluid.LoDTensor
:members:
:noindex:
.. _api_fluid_CPUPlace:
CPUPlace
--------
.. autoclass:: paddle.fluid.CPUPlace
:members:
:noindex:
.. _api_fluid_CUDAPlace:
CUDAPlace
---------
.. autoclass:: paddle.fluid.CUDAPlace
:members:
:noindex:
.. _api_fluid_CUDAPinnedPlace:
CUDAPinnedPlace
---------------
.. autoclass:: paddle.fluid.CUDAPinnedPlace
:members:
:noindex:
.. _api_fluid_Tensor:
Tensor
------
.. autoclass:: paddle.fluid.Tensor
:members:
:noindex:
.. _api_fluid_ParamAttr:
ParamAttr
---------
.. autoclass:: paddle.fluid.ParamAttr
:members:
:noindex:
.. _api_fluid_WeightNormParamAttr:
WeightNormParamAttr
-------------------
.. autoclass:: paddle.fluid.WeightNormParamAttr
:members:
:noindex:
.. _api_fluid_DataFeeder:
DataFeeder
----------
.. autoclass:: paddle.fluid.DataFeeder
:members:
:noindex:
.. _api_fluid_Scope:
Scope
-----
.. autoclass:: paddle.fluid.Scope
:members:
:noindex:
doc/fluid/api/gen_doc.py
浏览文件 @ e043fe26
......@@ -29,19 +29,27 @@ def parse_arg():
class DocGenerator(object):
def __init__(self, module_name, stream=sys.stdout):
def __init__(self, module_name=None, stream=sys.stdout):
if module_name == "":
module_name = None
self.stream = stream
self.module_name = module_name
if not hasattr(fluid, module_name):
raise ValueError("Cannot find fluid.{0}".format(module_name))
if module_name is None:
self.module_name = "fluid"
else:
self.module = getattr(fluid, module_name)
self.module_name = "fluid." + module_name
if module_name is None:
self.module = fluid
else:
if not hasattr(fluid, module_name):
raise ValueError("Cannot find fluid.{0}".format(module_name))
else:
self.module = getattr(fluid, module_name)
self.stream.write('''.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
''')
self._print_header_(module_name, dot='=', is_title=True)
self._print_header_(self.module_name, dot='=', is_title=True)
def print_submodule(self, submodule_name):
submodule = getattr(self.module, submodule_name)
......@@ -60,25 +68,29 @@ class DocGenerator(object):
self._print_header_(name, dot='=', is_title=False)
def print_item(self, name):
item = getattr(self.module, name)
item = getattr(self.module, name, None)
if item is None:
return
if isinstance(item, types.TypeType):
self.print_class(name)
elif isinstance(item, types.FunctionType):
self.print_method(name)
else:
raise RuntimeError("Unsupported item {0}".format(name))
pass
def print_class(self, name):
self._print_ref_(name)
self._print_header_(name, dot='-', is_title=False)
self.stream.write('''.. autoclass:: paddle.fluid.{0}.{1}
self.stream.write('''.. autoclass:: paddle.{0}.{1}
:members:
:noindex:
'''.format(self.module_name, name))
def print_method(self, name):
self._print_ref_(name)
self._print_header_(name, dot='-', is_title=False)
self.stream.write('''.. autofunction:: paddle.fluid.{0}.{1}
self.stream.write('''.. autofunction:: paddle.{0}.{1}
:noindex:
'''.format(self.module_name, name))
......@@ -94,6 +106,10 @@ class DocGenerator(object):
self.stream.write('\n')
self.stream.write('\n')
def _print_ref_(self, name):
self.stream.write(".. _api_{0}_{1}:\n\n".format("_".join(
self.module_name.split(".")), name))
def main():
args = parse_arg()
......
doc/fluid/api/gen_doc.sh
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#!/bin/bash
python gen_doc.py layers --submodules control_flow device io nn ops tensor > layers.rst
python gen_doc.py layers --submodules control_flow device io nn ops tensor learning_rate_scheduler detection metric_op tensor > layers.rst
for module in data_feeder clip metrics executor initializer io nets optimizer param_attr profiler regularizer
for module in data_feeder clip metrics executor initializer io nets optimizer param_attr profiler regularizer transpiler recordio_writer backward average profiler
do
python gen_doc.py ${module} > ${module}.rst
done
python gen_doc.py "" > fluid.rst
doc/fluid/api/index_en.rst
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======================
Fluid
======================
=============
API Reference
=============
.. toctree::
:maxdepth: 1
fluid.rst
layers.rst
data_feeder.rst
executor.rst
......@@ -18,3 +19,8 @@ Fluid
regularizer.rst
io.rst
data.rst
transpiler.rst
recordio_writer.rst
backward.rst
average.rst
profiler.rst
doc/fluid/api/initializer.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
===========
initializer
===========
=================
fluid.initializer
=================
.. _api_fluid_initializer_Constant:
Constant
--------
......@@ -12,6 +14,8 @@ Constant
:members:
:noindex:
.. _api_fluid_initializer_Uniform:
Uniform
-------
......@@ -19,6 +23,8 @@ Uniform
:members:
:noindex:
.. _api_fluid_initializer_Normal:
Normal
------
......@@ -26,6 +32,8 @@ Normal
:members:
:noindex:
.. _api_fluid_initializer_Xavier:
Xavier
------
......@@ -33,18 +41,42 @@ Xavier
:members:
:noindex:
.. _api_fluid_initializer_Bilinear:
Bilinear
--------
.. autoclass:: paddle.fluid.initializer.Bilinear
:members:
:noindex:
.. _api_fluid_initializer_MSRA:
MSRA
----
.. autoclass:: paddle.fluid.initializer.MSRA
:members:
:noindex:
.. _api_fluid_initializer_force_init_on_cpu:
force_init_on_cpu
-----------------
.. autofunction:: paddle.fluid.initializer.force_init_on_cpu
:noindex:
.. _api_fluid_initializer_init_on_cpu:
init_on_cpu
-----------
.. autofunction:: paddle.fluid.initializer.init_on_cpu
:noindex:
.. _api_fluid_initializer_ConstantInitializer:
ConstantInitializer
-------------------
......@@ -52,6 +84,8 @@ ConstantInitializer
:members:
:noindex:
.. _api_fluid_initializer_UniformInitializer:
UniformInitializer
------------------
......@@ -59,6 +93,8 @@ UniformInitializer
:members:
:noindex:
.. _api_fluid_initializer_NormalInitializer:
NormalInitializer
-----------------
......@@ -66,6 +102,8 @@ NormalInitializer
:members:
:noindex:
.. _api_fluid_initializer_XavierInitializer:
XavierInitializer
-----------------
......@@ -73,3 +111,21 @@ XavierInitializer
:members:
:noindex:
.. _api_fluid_initializer_BilinearInitializer:
BilinearInitializer
-------------------
.. autoclass:: paddle.fluid.initializer.BilinearInitializer
:members:
:noindex:
.. _api_fluid_initializer_MSRAInitializer:
MSRAInitializer
---------------
.. autoclass:: paddle.fluid.initializer.MSRAInitializer
:members:
:noindex:
doc/fluid/api/io.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
==
io
==
========
fluid.io
========
.. _api_fluid_io_save_vars:
save_vars
---------
......@@ -11,51 +13,115 @@ save_vars
.. autofunction:: paddle.fluid.io.save_vars
:noindex:
.. _api_fluid_io_save_params:
save_params
-----------
.. autofunction:: paddle.fluid.io.save_params
:noindex:
.. _api_fluid_io_save_persistables:
save_persistables
-----------------
.. autofunction:: paddle.fluid.io.save_persistables
:noindex:
.. _api_fluid_io_load_vars:
load_vars
---------
.. autofunction:: paddle.fluid.io.load_vars
:noindex:
.. _api_fluid_io_load_params:
load_params
-----------
.. autofunction:: paddle.fluid.io.load_params
:noindex:
.. _api_fluid_io_load_persistables:
load_persistables
-----------------
.. autofunction:: paddle.fluid.io.load_persistables
:noindex:
.. _api_fluid_io_save_inference_model:
save_inference_model
--------------------
.. autofunction:: paddle.fluid.io.save_inference_model
:noindex:
.. _api_fluid_io_load_inference_model:
load_inference_model
--------------------
.. autofunction:: paddle.fluid.io.load_inference_model
:noindex:
.. _api_fluid_io_get_inference_program:
get_inference_program
---------------------
.. autofunction:: paddle.fluid.io.get_inference_program
:noindex:
.. _api_fluid_io_save_checkpoint:
save_checkpoint
---------------
.. autofunction:: paddle.fluid.io.save_checkpoint
:noindex:
.. _api_fluid_io_load_checkpoint:
load_checkpoint
---------------
.. autofunction:: paddle.fluid.io.load_checkpoint
:noindex:
.. _api_fluid_io_clean_checkpoint:
clean_checkpoint
----------------
.. autofunction:: paddle.fluid.io.clean_checkpoint
:noindex:
.. _api_fluid_io_load_persist_vars_without_grad:
load_persist_vars_without_grad
------------------------------
.. autofunction:: paddle.fluid.io.load_persist_vars_without_grad
:noindex:
.. _api_fluid_io_save_persist_vars_without_grad:
save_persist_vars_without_grad
------------------------------
.. autofunction:: paddle.fluid.io.save_persist_vars_without_grad
:noindex:
.. _api_fluid_io_get_latest_checkpoint_serial:
get_latest_checkpoint_serial
----------------------------
.. autofunction:: paddle.fluid.io.get_latest_checkpoint_serial
:noindex:
doc/fluid/api/layers.rst
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doc/fluid/api/metrics.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=======
metrics
=======
=============
fluid.metrics
=============
.. _api_fluid_metrics_MetricBase:
MetricBase
----------
......@@ -12,6 +14,8 @@ MetricBase
:members:
:noindex:
.. _api_fluid_metrics_CompositeMetric:
CompositeMetric
---------------
......@@ -19,6 +23,26 @@ CompositeMetric
:members:
:noindex:
.. _api_fluid_metrics_Precision:
Precision
---------
.. autoclass:: paddle.fluid.metrics.Precision
:members:
:noindex:
.. _api_fluid_metrics_Recall:
Recall
------
.. autoclass:: paddle.fluid.metrics.Recall
:members:
:noindex:
.. _api_fluid_metrics_Accuracy:
Accuracy
--------
......@@ -26,6 +50,8 @@ Accuracy
:members:
:noindex:
.. _api_fluid_metrics_ChunkEvaluator:
ChunkEvaluator
--------------
......@@ -33,6 +59,8 @@ ChunkEvaluator
:members:
:noindex:
.. _api_fluid_metrics_EditDistance:
EditDistance
------------
......@@ -40,6 +68,8 @@ EditDistance
:members:
:noindex:
.. _api_fluid_metrics_DetectionMAP:
DetectionMAP
------------
......@@ -47,6 +77,8 @@ DetectionMAP
:members:
:noindex:
.. _api_fluid_metrics_Auc:
Auc
---
......
doc/fluid/api/nets.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
====
nets
====
==========
fluid.nets
==========
.. _api_fluid_nets_simple_img_conv_pool:
simple_img_conv_pool
--------------------
......@@ -11,18 +13,24 @@ simple_img_conv_pool
.. autofunction:: paddle.fluid.nets.simple_img_conv_pool
:noindex:
.. _api_fluid_nets_sequence_conv_pool:
sequence_conv_pool
------------------
.. autofunction:: paddle.fluid.nets.sequence_conv_pool
:noindex:
.. _api_fluid_nets_glu:
glu
---
.. autofunction:: paddle.fluid.nets.glu
:noindex:
.. _api_fluid_nets_scaled_dot_product_attention:
scaled_dot_product_attention
----------------------------
......
doc/fluid/api/optimizer.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=========
optimizer
=========
===============
fluid.optimizer
===============
.. _api_fluid_optimizer_SGD:
SGD
---
......@@ -12,6 +14,8 @@ SGD
:members:
:noindex:
.. _api_fluid_optimizer_Momentum:
Momentum
--------
......@@ -19,6 +23,8 @@ Momentum
:members:
:noindex:
.. _api_fluid_optimizer_Adagrad:
Adagrad
-------
......@@ -26,6 +32,8 @@ Adagrad
:members:
:noindex:
.. _api_fluid_optimizer_Adam:
Adam
----
......@@ -33,6 +41,8 @@ Adam
:members:
:noindex:
.. _api_fluid_optimizer_Adamax:
Adamax
------
......@@ -40,6 +50,8 @@ Adamax
:members:
:noindex:
.. _api_fluid_optimizer_DecayedAdagrad:
DecayedAdagrad
--------------
......@@ -47,27 +59,16 @@ DecayedAdagrad
:members:
:noindex:
Adadelta
-----------------
.. autoclass:: paddle.fluid.optimizer.Adadelta
:members:
:noindex:
RMSProp
-----------------
.. _api_fluid_optimizer_Ftrl:
.. autoclass:: paddle.fluid.optimizer.RMSProp
:members:
:noindex:
ModelAverage
-----------------
Ftrl
----
.. autoclass:: paddle.fluid.optimizer.ModelAverage
.. autoclass:: paddle.fluid.optimizer.Ftrl
:members:
:noindex:
.. _api_fluid_optimizer_SGDOptimizer:
SGDOptimizer
------------
......@@ -76,6 +77,8 @@ SGDOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_MomentumOptimizer:
MomentumOptimizer
-----------------
......@@ -83,6 +86,8 @@ MomentumOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_AdagradOptimizer:
AdagradOptimizer
----------------
......@@ -90,6 +95,8 @@ AdagradOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_AdamOptimizer:
AdamOptimizer
-------------
......@@ -97,6 +104,8 @@ AdamOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_AdamaxOptimizer:
AdamaxOptimizer
---------------
......@@ -104,6 +113,8 @@ AdamaxOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_DecayedAdagradOptimizer:
DecayedAdagradOptimizer
-----------------------
......@@ -111,25 +122,57 @@ DecayedAdagradOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_RMSPropOptimizer:
AdadeltaOptimizer
-----------------
RMSPropOptimizer
----------------
.. autoclass:: paddle.fluid.optimizer.AdadeltaOptimizer
.. autoclass:: paddle.fluid.optimizer.RMSPropOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_FtrlOptimizer:
RMSPropOptimizer
-----------------
FtrlOptimizer
-------------
.. autoclass:: paddle.fluid.optimizer.RMSPropOptimizer
.. autoclass:: paddle.fluid.optimizer.FtrlOptimizer
:members:
:noindex:
.. _api_fluid_optimizer_Adadelta:
Adadelta
--------
.. autoclass:: paddle.fluid.optimizer.Adadelta
:members:
:noindex:
.. _api_fluid_optimizer_ModelAverage:
ModelAverage
------------
.. autoclass:: paddle.fluid.optimizer.ModelAverage
:members:
:noindex:
.. _api_fluid_optimizer_Optimizer:
Optimizer
---------
.. autoclass:: paddle.fluid.optimizer.Optimizer
:members:
:noindex:
.. _api_fluid_optimizer_RMSPropOptimizer:
RMSPropOptimizer
----------------
.. autoclass:: paddle.fluid.optimizer.RMSPropOptimizer
:members:
:noindex:
doc/fluid/api/param_attr.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
==========
param_attr
==========
================
fluid.param_attr
================
.. _api_fluid_param_attr_ParamAttr:
ParamAttr
---------
......@@ -12,6 +14,8 @@ ParamAttr
:members:
:noindex:
.. _api_fluid_param_attr_WeightNormParamAttr:
WeightNormParamAttr
-------------------
......
doc/fluid/api/profiler.rst
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.. THIS FILE IS GENERATED BY `gen_doc.{py|sh}`
!DO NOT EDIT THIS FILE MANUALLY!
=====================
fluid.recordio_writer
=====================
.. _api_fluid_recordio_writer_convert_reader_to_recordio_file:
convert_reader_to_recordio_file
-------------------------------
.. autofunction:: paddle.fluid.recordio_writer.convert_reader_to_recordio_file
:noindex:
.. _api_fluid_recordio_writer_convert_reader_to_recordio_files:
convert_reader_to_recordio_files
--------------------------------
.. autofunction:: paddle.fluid.recordio_writer.convert_reader_to_recordio_files
:noindex:
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......@@ -35,7 +35,7 @@ The computation `Program` consists of nested `Blocks`. Each `Block` will consist
## Definition of VarType
A VarDesc should have a name, type and whether or not it is persistable. The are different kinds of variable types supported in PaddlePaddle, apart from the POD_Types like: `LOD_TENSOR`, `SELECTED_ROWS`, `FEED_MINIBATCH`, `FETCH_LIST`, `STEP_SCOPES`, `LOD_RANK_TABLE`, `LOD_TENSOR_ARRAY`, `PLACE_LIST`, `READER` and `CHANNEL`. These are declared inside `VarType`. A `VarDesc` then looks as the following:
A VarDesc should have a name, type and whether or not it is persistable. There are different kinds of variable types supported in PaddlePaddle, apart from the POD_Types like: `LOD_TENSOR`, `SELECTED_ROWS`, `FEED_MINIBATCH`, `FETCH_LIST`, `STEP_SCOPES`, `LOD_RANK_TABLE`, `LOD_TENSOR_ARRAY`, `PLACE_LIST`, `READER` and `CHANNEL`. These are declared inside `VarType`. A `VarDesc` then looks as the following:
```proto
message VarDesc {
......
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:maxdepth: 1
concepts/use_concepts_cn.rst
developer's_guide_to_paddle_fluid.md
doc/fluid/getstarted/index_en.rst
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:maxdepth: 1
concepts/index_en.rst
developer's_guide_to_paddle_fluid.md
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