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体验新版 GitCode,发现更多精彩内容 >>
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3587d921
编写于
6月 19, 2018
作者:
G
gongweibao
提交者:
GitHub
6月 19, 2018
浏览文件
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浏览文件
下载
电子邮件补丁
差异文件
Fix kube jobs generator's bugs. (#11557)
上级
1d7e60fd
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
25 addition
and
7 deletion
+25
-7
benchmark/fluid/Dockerfile
benchmark/fluid/Dockerfile
+13
-4
benchmark/fluid/fluid_benchmark.py
benchmark/fluid/fluid_benchmark.py
+9
-0
benchmark/fluid/kube_gen_job.py
benchmark/fluid/kube_gen_job.py
+3
-3
未找到文件。
benchmark/fluid/Dockerfile
浏览文件 @
3587d921
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
RUN
pip
install
-U
pip
RUN
pip
install
-U
kubernetes paddlepaddle
# 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'
...
...
@@ -14,9 +21,11 @@ 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
&&
chmod
+x /usr/bin/paddle_k8s
RUN
pip
install
/
*
.whl
&&
rm
-f
/
*
.whl
ENV
LD_LIBRARY_PATH=/usr/local/lib
ADD
fluid_benchmark.py recordio_converter.py models/ /workspace/
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/fluid_benchmark.py
浏览文件 @
3587d921
...
...
@@ -301,9 +301,18 @@ def print_train_time(start_time, end_time, num_samples):
(
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
)
print_paddle_envs
()
# the unique trainer id, starting from 0, needed by trainer
# only
...
...
benchmark/fluid/kube_gen_job.py
浏览文件 @
3587d921
...
...
@@ -17,6 +17,7 @@ import copy
import
argparse
import
random
import
os
import
copy
from
kube_templates
import
pserver
,
trainer
,
envs
...
...
@@ -109,10 +110,9 @@ def gen_job():
envs
.
append
({
"name"
:
"PADDLE_JOB_NAME"
,
"value"
:
args
.
jobname
})
envs
.
append
({
"name"
:
"PADDLE_TRAINERS"
,
"value"
:
str
(
args
.
trainers
)})
envs
.
append
({
"name"
:
"PSERVERS"
,
"value"
:
str
(
args
.
pservers
)})
envs
.
append
({
"name"
:
"P
ADDLE_P
SERVERS"
,
"value"
:
str
(
args
.
pservers
)})
envs
.
append
({
"name"
:
"ENTRY"
,
"value"
:
args
.
entry
})
envs
.
append
({
"name"
:
"PADDLE_PSERVER_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.
envs
.
append
({
...
...
@@ -166,7 +166,7 @@ def gen_job():
tn
[
"spec"
][
"template"
][
"spec"
][
"volumes"
]
=
volumes
tn_container
[
"volumeMounts"
]
=
volumeMounts
ps_container
[
"env"
]
=
envs
ps_container
[
"env"
]
=
copy
.
deepcopy
(
envs
)
ps_container
[
"env"
].
append
({
"name"
:
"PADDLE_TRAINING_ROLE"
,
"value"
:
"PSERVER"
...
...
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