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MindX DL Sample 次要利用于企业的数据中心或超算核心机房中，针对不同的利用场景为客户提供 AI 深度学习端到端解决方案。
传统行业：用户无自建深度学习平台，心愿可能提供简略易用、软硬件一体化的深度学习平台。
互联网和安防行业：用户有自建深度学习平台，心愿提供适配客户深度学习平台的开源插件，疾速上线昇腾系列 AI 处理器的深度学习。
超算核心和私有云行业：用户无 AI 深度学习集群，心愿提供大规模 AI 深度学习集群、反对超高密部署、整柜交付，缩短我的项目交付周期，减速业务上线，节俭装置部署及调测老本。
阐明：此文档须要先将根底 kubernetes 环境下的 DL 搭建实现，参考《华为 A800-9000 服务器 离线装置 MindX DL》
一、批改 ansible 配置文件
root@ubuntu:/etc/ansible# vim hosts
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# cat /etc/ansible/hosts
[all:vars]
# NFS service IP
nfs_service_ip=192.168.1.99
# Master IP
master_ip=192.168.1.99
[workers]
localnode ansible_host=192.168.1.99 ansible_ssh_user=root ansible_ssh_pass=123123
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# vi /etc/ansible/ansible.cfg
# 勾销以下两行内容的正文并更改 deprecation_warnings 为“False”。host_key_checking = False
deprecation_warnings = False二、下载根底镜像
root@ubuntu:/etc/ansible# docker pull redis:5.0.8
5.0.8: Pulling from library/redis
3d48095d71a3: Pull complete
773882920678: Pull complete
b04905edf724: Pull complete
90e236b4682b: Pull complete
fb7d8181d1c6: Pull complete
532c81fe8c61: Pull complete
Digest: sha256:96bdb5e2984b15e3cf4de74077f650c911cb26ec0981e0772df35a1a5cb19798
Status: Downloaded newer image for redis:5.0.8
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# docker pull prom/prometheus:v2.10.0
v2.10.0: Pulling from prom/prometheus
596fa44d463e: Pull complete
ae7a0e9c5457: Pull complete
3e3e880277a4: Pull complete
d884b32e16d7: Pull complete
6f45dfbc8251: Pull complete
e7275b596775: Pull complete
d3c1f1d7d1d1: Pull complete
f040a278aa08: Pull complete
403fefd2b7ea: Pull complete
Digest: sha256:b89e9c7ffbfbc8efebd6d8ff89b33175625bb2c7ae2751fbcd89f0884cfbdcab
Status: Downloaded newer image for prom/prometheus:v2.10.0
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# docker pull mysql/mysql-server:8.0.13
8.0.13: Pulling from mysql/mysql-server
5530262403b2: Pull complete
01c05f6b9ab3: Pull complete
f521094e248f: Pull complete
495eb6103d23: Pull complete
Digest: sha256:59a5854dca16488305aee60c8dea4d88b68d816aee627de022b19d9bead48d04
Status: Downloaded newer image for mysql/mysql-server:8.0.13
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# docker pull grafana/grafana:7.0.2
7.0.2: Pulling from grafana/grafana
29e5d40040c1: Pull complete
c33923c8c811: Pull complete
3fd85f7a4ab6: Pull complete
987cf1afe976: Pull complete
a27d86f46de8: Pull complete
285316502f38: Pull complete
Digest: sha256:5b9c9e18a8279a818144d90431ac0631bc17f520aa5c2fd6dd70bf767b48e632
Status: Downloaded newer image for grafana/grafana:7.0.2
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# docker pull python:3.7.5
3.7.5: Pulling from library/python
af4800279257: Pull complete
8fae2ec46cd5: Pull complete
8a8718b9412e: Pull complete
4908f8b44725: Pull complete
54e0fac9e6c6: Pull complete
2b1da11f97bb: Pull complete
d93a637093d0: Pull complete
c79746565cc4: Pull complete
3dfacccebd97: Pull complete
Digest: sha256:88d11783cbbfa06f1c12ca50c73c340b0bff34bf599c6e1dd27fb836a8de506d
Status: Downloaded newer image for python:3.7.5
root@ubuntu:/etc/ansible#
root@ubuntu:/etc/ansible# docker pull ubuntu:18.04
18.04: Pulling from library/ubuntu
fda1cca7a3cc: Pull complete
Digest: sha256:7bd7a9ca99f868bf69c4b6212f64f2af8e243f97ba13abb3e641e03a7ceb59e8
Status: Downloaded newer image for ubuntu:18.04
root@ubuntu:/etc/ansible#三、配置 NGINX 镜像配置
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/nginx# vim Dockerfile
FROM ubuntu:18.04
#(可选 Part1) 如用户环境须要配置代理连贯网络，此处须要按如下示例配置代理，可间接勾销正文并填写相应字段（大括号不保留）。# ENV http_proxy http://{username}:{password}@{IP}:{port}
# ENV https_proxy http://{username}:{password}@{IP}:{port}
#(可选 Part2) 如用户环境须要配置代理连贯网络，此处须要按如下示例配置代理，可间接勾销正文并填写相应字段（大括号不保留）。# RUN echo 'Acquire::http::Proxy"http://{username}:{password}@{IP}:{port}"; Acquire::https::Proxy"http://{username}:{password}@{IP}:{port}";' > /etc/apt/apt.conf.d/80proxy
##(可选 Part3) 配置 apt 源，ARM 环境示例，请依据环境架构在 Part3 和 Part4 中二选一
#RUN echo 'deb http://mirrors.aliyun.com/ubuntu-ports/ bionic main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-security main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-updates main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-proposed main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu-ports/ bionic-backports main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-security main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-updates main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-proposed main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu-ports/ bionic-backports main restricted universe multiverse' > /etc/apt/sources.list
##(可选 Part4) 配置 apt 源，x86 环境示例，请依据环境架构在 Part3 和 Part4 中二选一
#RUN echo 'deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse \n\
#deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse \n\
#deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse' > /etc/apt/sources.list
RUN echo 'deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic main restricted \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic universe \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic-updates universe \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic multiverse \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic-updates multiverse \n\
deb http://cn.ports.ubuntu.com/ubuntu-ports/ bionic-backports main restricted universe multiverse \n\
deb http://ports.ubuntu.com/ubuntu-ports bionic-security main restricted \n\
deb http://ports.ubuntu.com/ubuntu-ports bionic-security universe \n\
deb http://ports.ubuntu.com/ubuntu-ports bionic-security multiverse' > /etc/apt/sources.list
RUN apt-get update && \
apt-get install -y build-essential && \
apt-get install -y libtool && \
apt-get install -y libpcre3 libpcre3-dev && \
apt-get install -y zlib1g-dev && \
apt-get install -y openssl && \
apt-get install libssl-dev && \
apt-get install -y wget && \
apt-get install -y git
RUN export GIT_SSL_NO_VERIFY=1 && \
git clone https://github.com/masterzen/nginx-upload-progress-module.git && \
git clone https://github.com/fdintino/nginx-upload-module.git && \
wget --no-check-certificate http://nginx.org/download/nginx-1.17.3.tar.gz && \
tar -zxvf nginx-1.17.3.tar.gz && \
cd nginx-1.17.3 && \
./configure --add-module=../nginx-upload-module/ --add-module=../nginx-upload-progress-module/ --prefix=/etc/nginx --sbin-path=/usr/sbin/nginx --modules-path=/usr/lib/nginx/modules --conf-path=/etc/nginx/nginx.conf --error-log-path=/var/log/nginx/error.log --http-log-path=/var/log/nginx/access.log --pid-path=/var/run/nginx.pid --lock-path=/var/run/nginx.lock --http-client-body-temp-path=/var/cache/nginx/client_temp --http-proxy-temp-path=/var/cache/nginx/proxy_temp --http-fastcgi-temp-path=/var/cache/nginx/fastcgi_temp --http-uwsgi-temp-path=/var/cache/nginx/uwsgi_temp --http-scgi-temp-path=/var/cache/nginx/scgi_temp --user=nginx --group=nginx --with-compat --with-file-aio --with-threads --with-http_addition_module --with-http_auth_request_module --with-http_dav_module --with-http_flv_module --with-http_gunzip_module --with-http_gzip_static_module --with-http_mp4_module --with-http_random_index_module --with-http_realip_module --with-http_secure_link_module --with-http_slice_module --with-http_ssl_module --with-http_stub_status_module --with-http_sub_module --with-http_v2_module --with-mail --with-mail_ssl_module --with-stream --with-stream_realip_module --with-stream_ssl_module --with-stream_ssl_preread_module --with-cc-opt='-g -O2 -fdebug-prefix-map=/tmp/tmp.UI0oSlj34i/nginx-1.17.10=. -fstack-protector-strong -Wformat -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fPIC' --with-ld-opt='-Wl,-z,relro -Wl,-z,now -Wl,--as-needed -pie' && \
make && make install && ln -s /usr/local/nginx/sbin/nginx /usr/bin/nginx && \
mkdir -pv /var/cache/nginx/client_temp && \
cd ..
#RUN rm /etc/apt/apt.conf.d/80proxy /etc/apt/sources.list && \
# rm nginx-1.17.3.tar.gz && \
# rm -rf nginx-1.17.3 nginx-upload-module nginx-upload-progress-module
#(可选 Part5) 如在 Part1 中配置了代理，须要勾销上面两行正文勾销对应代理配置。#ENV http_proxy ""#ENV https_proxy""
#(可选 Part6) 如在 Part2 中配置了代理，须要勾销上面一行正文勾销对应代理配置。#RUN echo "" > /etc/apt/apt.conf.d/80proxy
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/nginx# docker build -t nginx-upload:v1 .
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/nginx# docker images | grep ng
nginx-upload v1 15bbdc3677d7 4 minutes ago 372MB
四、装置前端所需工具，并编译前端代码
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# nvm install node
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# apt install -y npm
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# apt install -y node
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# wget -qO- https://raw.githubusercontent.com/creationix/nvm/v0.33.6/install.sh | bash
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# nvm install node
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# npm config set registry http://r.cnpmjs.org/;
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# npm install --global vue-cli;
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/src/webgui# npm install webpack -g;五、批改 TJM 配置文件
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls# vim tjm.yaml
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls#
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls#
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls#
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls# cat tjm.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: tjm
namespace: default
labels:
app: tjm
spec:
replicas: 1
selector:
matchLabels:
app: tjm
template:
metadata:
labels:
app: tjm
spec:
nodeSelector:
masterselector: dls-master-node
containers:
- image: tjm:v0.0.1
name: tjm-core
imagePullPolicy: IfNotPresent
command:
- "/bin/bash"
- "-c"
- "/bin/bash /tjm/start.sh"
env:
# The following env variables set up basic auth twith the default admin user and admin password.
- name: NFS_IP
value: 192.168.1.99
- name: NFS_ROOT_DIR
value: "/data/atlas_dls"
- name: INCLUSTER_FLAG
value: "TRUE"
- name: SERVICE_DOMAIN_NAME
value: 192.168.1.99
- name: CONTAINER_ROOT_DIR
value: "/datanfs"
- name: TENSORBOARD_IMAGE
value: "tensorboard:latest"
- name: TENSORBOARD_CPU
value: "190"
- name: TENSORBOARD_MEMORY
value: "200Mi"
- name: MINDINSIGHT_IMAGE
value: "mindinsight:latest"
- name: MINDINSIGHT_CPU
value: "190"
- name: MINDINSIGHT_MEMORY
value: "2048Mi"
- name: TIMEZONE
value: "8"
volumeMounts:
- name: dls-data
mountPath: /datanfs
- name: localtime
mountPath: /etc/localtime
- name: dls-log
mountPath: /var/log/atlas_dls/tjm
resources:
requests:
cpu: "500m"
memory: "100Mi"
limits:
cpu: "5000m"
memory: "50000Mi"
volumes:
- name: dls-data
nfs:
server: 192.168.1.99
path: /data/atlas_dls
- name: localtime
hostPath:
path: /etc/localtime
- name: dls-log
hostPath:
path: /var/log/atlas_dls/tjm
---
kind: Service
apiVersion: v1
metadata:
labels:
app: tjm
name: tjm
namespace: default
spec:
ports:
- port: 5003
targetPort: 5003
selector:
app: tjm
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls#
tjm.yaml
批改 env 字段中以下参数配置：- name: TENSORBOARD_IMAGE
value: "tensorboard:latest" #Tensorboard 镜像名和版本。- name: TENSORBOARD_CPU
value: "1" #Tensorboard 工作运行所需 CPU，倡议≥1。- name: TENSORBOARD_MEMORY
value: "200Mi" #Tensorboard 工作运行所需内存，倡议≥100Mi。- name: MINDINSIGHT_IMAGE
value: "mindinsight:latest" #Mindinsight 镜像名和版本。- name: MINDINSIGHT_CPU
value: "4" #Mindinsight 工作运行所需 CPU，倡议≥4。- name: MINDINSIGHT_MEMORY
value: "2048Mi" #Mindinsight 工作运行所需内存，倡议≥2048Mi。- name: TIMEZONE
value: "8" #默认为 8（东八区），依据理论配置时区。六、批改 MMS 配置文件
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls# vim mms.yaml
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls# cat mms.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: dls-mms-deploy
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: dls-mms
template:
metadata:
labels:
app: dls-mms
spec:
nodeSelector:
masterselector: dls-master-node
containers:
- name: dls-mms
image: mms:v0.0.1
imagePullPolicy: IfNotPresent
command: ["/bin/bash", "-c", "--"]
args: ["chmod 550 /data/mms/start.sh;/data/mms/start.sh"]
ports:
- containerPort: 5000
env:
- name: NFS_IP
value: 192.168.1.99
- name: NFS_ROOT_DIR
value: "/data/atlas_dls"
- name: INCLUSTER_FLAG
value: "TRUE"
- name: CONTAINER_ROOT_DIR
value: "/datanfs"
- name: MODEL_CONVERT_IMAGE
value: "tf-c73:b033-with-atc"
volumeMounts:
- name: dls-data
mountPath: /datanfs
- name: dls-log
mountPath: /var/log/atlas_dls/mms
- name: localtime
mountPath: /etc/localtime
resources:
requests:
cpu: "500m"
memory: "100Mi"
limits:
cpu: "5000m"
memory: "50000Mi"
volumes:
- name: dls-data
nfs:
server: 192.168.1.99
path: "/data/atlas_dls"
- name: dls-log
hostPath:
path: /var/log/atlas_dls/mms
- name: localtime
hostPath:
path: /etc/localtime
---
apiVersion: v1
kind: Service
metadata:
name: dls-mms
namespace: default
labels:
app: atlas-dls
spec:
ports:
- name: dls-mms
port: 5002
protocol: TCP
targetPort: 5002
selector:
app: dls-mms
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/yamls#
mms.yaml
批改 env 字段中以下参数配置：- name: MODEL_CONVERT_IMAGE
value: "tf-c73:b033-with-atc" #模型转换镜像名 七、自动化装置，SHELL 回显略
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks# ansible-playbook deploy.yaml八、拉去训练镜像
https://ascendhub.huawei.com/…
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks# docker login -u 15648907522 -p tDYqC45NFQ2VVb1Wk48C0AK4PC02SBjBpoUDOjo7oqIpdjBSaPzZyR112lzbzBWve ascendhub.huawei.com
WARNING! Using --password via the CLI is insecure. Use --password-stdin.
WARNING! Your password will be stored unencrypted in /root/.docker/config.json.
Configure a credential helper to remove this warning. See
https://docs.docker.com/engine/reference/commandline/login/#credentials-store
Login Succeeded
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks# docker pull ascendhub.huawei.com/public-ascendhub/ascend-mindspore-arm:21.0.1.spc001
21.0.1.spc001: Pulling from public-ascendhub/ascend-mindspore-arm
fda1cca7a3cc: Already exists
11c90fde7ae4: Pull complete
7253b5e27781: Pull complete
bbd60ae31b0e: Pull complete
5ff0775b62ee: Pull complete
4bd7bd3ffee1: Pull complete
8f7e244558aa: Pull complete
2782e4575e5b: Pull complete
6082e54e59ee: Pull complete
bd1b2e5f115e: Pull complete
53142cd42310: Pull complete
d746749ab006: Pull complete
691a8a68558b: Pull complete
ecbb81572dc3: Pull complete
65d85230814c: Pull complete
Digest: sha256:29069b29542554d5ac8f79c2be3ba78ace77751546bfad24b480acf782e39fa7
Status: Downloaded newer image for ascendhub.huawei.com/public-ascendhub/ascend-mindspore-arm:21.0.1.spc001
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks# docker pull ascendhub.huawei.com/public-ascendhub/ascend-tensorflow-arm:21.0.1
21.0.1: Pulling from public-ascendhub/ascend-tensorflow-arm
04da93b342eb: Pull complete
b235194751de: Pull complete
606a67bb8db9: Pull complete
4af9b0a6671e: Pull complete
aa86c517c858: Pull complete
7d232de65c7f: Pull complete
396a8ab7f029: Pull complete
bc0d0369a1f9: Pull complete
86f265d63edf: Pull complete
0cef5083e917: Pull complete
360419151a16: Pull complete
06436a96fc81: Pull complete
13611bc87943: Pull complete
2127513261ef: Pull complete
Digest: sha256:0e6fac7ec1cb09bb57bbd076d6b6054f44f91afe6dfadfca2270a51ba2fc53e0
Status: Downloaded newer image for ascendhub.huawei.com/public-ascendhub/ascend-tensorflow-arm:21.0.1
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks# docker pull ascendhub.huawei.com/public-ascendhub/ascend-pytorch-arm:21.0.1
21.0.1: Pulling from public-ascendhub/ascend-pytorch-arm
04da93b342eb: Already exists
b235194751de: Already exists
606a67bb8db9: Already exists
e93c757bff45: Pull complete
3cf04b2262e0: Pull complete
b747b6b075df: Pull complete
9d1ca426ec5d: Pull complete
6709e46dffeb: Pull complete
c9a5fa495f7c: Pull complete
88232903df71: Pull complete
ef57b6fb083b: Pull complete
ea40e63aedc6: Pull complete
fb00b3f33bf9: Pull complete
7fa0e069227a: Pull complete
c875eb36de84: Pull complete
Digest: sha256:57f724d4b938753102d09d0ffbab5b0c0697cf3e37b1e8ac948bb8a8df356958
Status: Downloaded newer image for ascendhub.huawei.com/public-ascendhub/ascend-pytorch-arm:21.0.1
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks#
root@ubuntu:~/123/mindxdl-sample-20210715-V2.0.2/deploy/playbooks#九、构建 jupyter-notebook 镜像
root@ubuntu:~/123# mkdir jupyter-notebook
root@ubuntu:~/123#
root@ubuntu:~/123# cd jupyter-notebook/
root@ubuntu:~/123/jupyter-notebook# ls
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook# vi Dockerfile
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook# docker build -t notebook .^C
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook# cat Dockerfile
From python:3.7.5
# -------------------------(Optional) Configure the proxy and source.-----------------------
#ENV http_proxy http://<user>:<password>@ip:port
#ENV https_proxy http://<user>:<password>@ip:port
#ENV ftp_proxy ftp://<user>:<password>@ip:port
RUN mkdir -p ~/.pip \
&& echo '[global] \n\
index-url=https://pypi.doubanio.com/simple/\n\
trusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
RUN pip install jupyter \
&& jupyter notebook --generate-config \
&& echo "c.NotebookApp.ip='0.0.0.0' \n\
c.NotebookApp.open_browser = False \n\
c.NotebookApp.token = '' \n\
c.NotebookApp.port =8888" >> ~/.jupyter/jupyter_notebook_config.py
RUN apt-get update \
&& apt-get install -y openssh-server
RUN sed -ri 's/UsePAM yes/#UsePAM yes/g' /etc/ssh/sshd_config \
&& sed -ri 's/^#?PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config
ENV http_proxy ''ENV https_proxy''
ENV ftp_proxy ''
RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && \
useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && \
usermod -a -G HwHiAiUser hwMindX
RUN echo root:123123 | chpasswd
USER hwMindX
ENTRYPOINT jupyter notebook --allow-root
root@ubuntu:~/123/jupyter-notebook# docker build -t notebook .
Sending build context to Docker daemon 3.072kB
Step 1/12 : From python:3.7.5
---> a4356c370cda
Step 2/12 : RUN mkdir -p ~/.pip && echo '[global] \nindex-url=https://pypi.doubanio.com/simple/\ntrusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
---> Running in 841fef0bfec2
Removing intermediate container 841fef0bfec2
---> 2e9619b95f3c
Step 3/12 : RUN pip install jupyter && jupyter notebook --generate-config && echo "c.NotebookApp.ip='0.0.0.0'\nc.NotebookApp.open_browser = False \nc.NotebookApp.token ='' \nc.NotebookApp.port =8888" >> ~/.jupyter/jupyter_notebook_config.py
---> Running in e8a384542bf2
Looking in indexes: https://pypi.doubanio.com/simple/
Collecting jupyter
Downloading https://pypi.doubanio.com/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl
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Collecting ipywidgets
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Collecting notebook
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Collecting nbformat>=4.4
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Collecting testpath
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Collecting traitlets>=5.0
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Collecting entrypoints>=0.2.2
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Collecting pygments>=2.4.1
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Collecting nbclient<0.6.0,>=0.5.0
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Collecting jinja2>=2.4
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Collecting pyzmq>=17.1
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Collecting jupyter-client>=4.1
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Collecting qtpy
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Collecting tornado<7.0,>=4.2
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Collecting importlib-metadata<5; python_version < "3.8.0"
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Collecting ipython<8.0,>=7.23.1
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Collecting argcomplete>=1.12.3; python_version < "3.8.0"
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Collecting debugpy<2.0,>=1.0.0
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Collecting matplotlib-inline<0.2.0,>=0.1.0
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Collecting jupyterlab-widgets>=1.0.0; python_version >= "3.6"
Downloading https://pypi.doubanio.com/packages/18/b5/3473d275e3b2359efdf5768e9df95537308b93a31ad94fa92814ac565826/jupyterlab_widgets-1.0.0-py3-none-any.whl (243kB)
Collecting widgetsnbextension~=3.5.0
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Collecting argon2-cffi
Downloading https://pypi.doubanio.com/packages/74/fd/d78e003a79c453e8454197092fce9d1c6099445b7e7da0b04eb4fe1dbab7/argon2-cffi-20.1.0.tar.gz (1.8MB)
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Preparing wheel metadata: started
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Collecting terminado>=0.8.3
Downloading https://pypi.doubanio.com/packages/5b/a8/0c428a9a2432b611566b0309d1a50a051f4ec965ce274528c4ba6b6c0205/terminado-0.11.1-py3-none-any.whl
Collecting Send2Trash>=1.5.0
Downloading https://pypi.doubanio.com/packages/47/26/3435896d757335ea53dce5abf8d658ca80757a7a06258451b358f10232be/Send2Trash-1.8.0-py3-none-any.whl
Collecting prometheus-client
Downloading https://pypi.doubanio.com/packages/09/da/4e8471ff825769581593b5b84769d32f58e5373b59fccaf355d3529ad530/prometheus_client-0.11.0-py2.py3-none-any.whl (56kB)
Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
Downloading https://pypi.doubanio.com/packages/c6/37/ec72228971dbaf191243b8ee383c6a3834b5cde23daab066dfbfbbd5438b/prompt_toolkit-3.0.20-py3-none-any.whl (370kB)
Collecting jsonschema!=2.5.0,>=2.4
Downloading https://pypi.doubanio.com/packages/c5/8f/51e89ce52a085483359217bc72cdbf6e75ee595d5b1d4b5ade40c7e018b8/jsonschema-3.2.0-py2.py3-none-any.whl (56kB)
Collecting webencodings
Downloading https://pypi.doubanio.com/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl
Collecting packaging
Downloading https://pypi.doubanio.com/packages/3c/77/e2362b676dc5008d81be423070dd9577fa03be5da2ba1105811900fda546/packaging-21.0-py3-none-any.whl (40kB)
Collecting six>=1.9.0
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Collecting nest-asyncio
Downloading https://pypi.doubanio.com/packages/52/e2/9b37da54e6e9094d2f558ae643d1954a0fa8215dfee4fa261f31c5439796/nest_asyncio-1.5.1-py3-none-any.whl
Collecting MarkupSafe>=2.0
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Collecting python-dateutil>=2.1
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Collecting zipp>=0.5
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Collecting typing-extensions>=3.6.4; python_version < "3.8"
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Collecting backcall
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Collecting jedi>=0.16
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Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.7/site-packages (from ipython<8.0,>=7.23.1->ipykernel->jupyter) (41.6.0)
Collecting pickleshare
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Collecting decorator
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Collecting cffi>=1.0.0
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Collecting pyrsistent>=0.14.0
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Installing build dependencies: started
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Collecting attrs>=17.4.0
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Collecting parso<0.9.0,>=0.8.0
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Building wheels for collected packages: argon2-cffi, pyrsistent
Building wheel for argon2-cffi (PEP 517): started
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Stored in directory: /root/.cache/pip/wheels/bd/00/bf/afb81816e42f4cd82890c552262451d2683fce154d72a2a7f2
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Stored in directory: /root/.cache/pip/wheels/41/82/79/02feba19913ccf53c135a504fd28677aeecf1980d76c1bfad5
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Building wheels for collected packages: pandocfilters
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Stored in directory: /root/.cache/pip/wheels/f3/b7/38/9a1fac073c6eb0cc2524036dfcef319b829ce237c80c31c044
Successfully built pandocfilters
Installing collected packages: ipython-genutils, traitlets, jupyter-core, pyrsistent, six, attrs, zipp, typing-extensions, importlib-metadata, jsonschema, nbformat, testpath, mistune, defusedxml, webencodings, pyparsing, packaging, bleach, pandocfilters, entrypoints, pygments, jupyterlab-pygments, nest-asyncio, pyzmq, python-dateutil, tornado, jupyter-client, nbclient, MarkupSafe, jinja2, nbconvert, backcall, ptyprocess, pexpect, parso, jedi, matplotlib-inline, pickleshare, decorator, wcwidth, prompt-toolkit, ipython, argcomplete, debugpy, ipykernel, qtpy, qtconsole, jupyterlab-widgets, pycparser, cffi, argon2-cffi, terminado, Send2Trash, prometheus-client, notebook, widgetsnbextension, ipywidgets, jupyter-console, jupyter
Successfully installed MarkupSafe-2.0.1 Send2Trash-1.8.0 argcomplete-1.12.3 argon2-cffi-20.1.0 attrs-21.2.0 backcall-0.2.0 bleach-4.0.0 cffi-1.14.6 debugpy-1.4.1 decorator-5.0.9 defusedxml-0.7.1 entrypoints-0.3 importlib-metadata-4.6.4 ipykernel-6.2.0 ipython-7.26.0 ipython-genutils-0.2.0 ipywidgets-7.6.3 jedi-0.18.0 jinja2-3.0.1 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-7.0.1 jupyter-console-6.4.0 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 jupyterlab-widgets-1.0.0 matplotlib-inline-0.1.2 mistune-0.8.4 nbclient-0.5.4 nbconvert-6.1.0 nbformat-5.1.3 nest-asyncio-1.5.1 notebook-6.4.3 packaging-21.0 pandocfilters-1.4.3 parso-0.8.2 pexpect-4.8.0 pickleshare-0.7.5 prometheus-client-0.11.0 prompt-toolkit-3.0.20 ptyprocess-0.7.0 pycparser-2.20 pygments-2.10.0 pyparsing-2.4.7 pyrsistent-0.18.0 python-dateutil-2.8.2 pyzmq-22.2.1 qtconsole-5.1.1 qtpy-1.10.0 six-1.16.0 terminado-0.11.1 testpath-0.5.0 tornado-6.1 traitlets-5.0.5 typing-extensions-3.10.0.0 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 zipp-3.5.0
WARNING: You are using pip version 19.3.1; however, version 21.2.4 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Writing default config to: /root/.jupyter/jupyter_notebook_config.py
Removing intermediate container e8a384542bf2
---> cc59b531125b
Step 4/12 : RUN apt-get update && apt-get install -y openssh-server
---> Running in 2e945ea6c6c8
Get:1 http://deb.debian.org/debian buster InRelease [122 kB]
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Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
dbus dmsetup libapparmor1 libargon2-1 libcryptsetup12 libdbus-1-3
libdevmapper1.02.1 libidn11 libip4tc0 libjson-c3 libkmod2 libnss-systemd
libpam-systemd libsystemd0 libwrap0 libxmuu1 ncurses-term openssh-client
openssh-sftp-server systemd systemd-sysv xauth
Suggested packages:
default-dbus-session-bus | dbus-session-bus keychain libpam-ssh monkeysphere
ssh-askpass molly-guard rssh ufw systemd-container policykit-1
The following NEW packages will be installed:
dbus dmsetup libapparmor1 libargon2-1 libcryptsetup12 libdbus-1-3
libdevmapper1.02.1 libidn11 libip4tc0 libjson-c3 libkmod2 libnss-systemd
libpam-systemd libwrap0 libxmuu1 ncurses-term openssh-server
openssh-sftp-server systemd systemd-sysv xauth
The following packages will be upgraded:
libsystemd0 openssh-client
2 upgraded, 21 newly installed, 0 to remove and 130 not upgraded.
Need to get 7006 kB of archives.
After this operation, 23.5 MB of additional disk space will be used.
Get:1 http://deb.debian.org/debian buster/main arm64 libapparmor1 arm64 2.13.2-10 [93.8 kB]
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Get:4 http://deb.debian.org/debian buster/main arm64 dmsetup arm64 2:1.02.155-3 [83.9 kB]
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Get:7 http://deb.debian.org/debian buster/main arm64 libcryptsetup12 arm64 2:2.1.0-5+deb10u2 [181 kB]
Get:8 http://security.debian.org/debian-security buster/updates/main arm64 systemd arm64 241-7~deb10u8 [3256 kB]
Get:9 http://deb.debian.org/debian buster/main arm64 libidn11 arm64 1.33-2.2 [113 kB]
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Get:16 http://deb.debian.org/debian buster/main arm64 libwrap0 arm64 7.6.q-28 [58.4 kB]
Get:17 http://security.debian.org/debian-security buster/updates/main arm64 systemd-sysv arm64 241-7~deb10u8 [100 kB]
Get:18 http://security.debian.org/debian-security buster/updates/main arm64 libpam-systemd arm64 241-7~deb10u8 [201 kB]
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debconf: delaying package configuration, since apt-utils is not installed
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Setting up libcryptsetup12:arm64 (2:2.1.0-5+deb10u2) ...
Setting up systemd (241-7~deb10u8) ...
Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service → /lib/systemd/system/getty@.service.
Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target → /lib/systemd/system/remote-fs.target.
Created symlink /etc/systemd/system/dbus-org.freedesktop.timesync1.service → /lib/systemd/system/systemd-timesyncd.service.
Created symlink /etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service → /lib/systemd/system/systemd-timesyncd.service.
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First installation detected...
Checking NSS setup...
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Setting up libdbus-1-3:arm64 (1.12.20-0+deb10u1) ...
Setting up dbus (1.12.20-0+deb10u1) ...
invoke-rc.d: could not determine current runlevel
invoke-rc.d: policy-rc.d denied execution of start.
Setting up libpam-systemd:arm64 (241-7~deb10u8) ...
debconf: unable to initialize frontend: Dialog
debconf: (TERM is not set, so the dialog frontend is not usable.)
debconf: falling back to frontend: Readline
Setting up libxmuu1:arm64 (2:1.1.2-2+b3) ...
Setting up ncurses-term (6.1+20181013-2+deb10u2) ...
Setting up openssh-sftp-server (1:7.9p1-10+deb10u2) ...
Setting up openssh-server (1:7.9p1-10+deb10u2) ...
debconf: unable to initialize frontend: Dialog
debconf: (TERM is not set, so the dialog frontend is not usable.)
debconf: falling back to frontend: Readline
Creating config file /etc/ssh/sshd_config with new version
Creating SSH2 RSA key; this may take some time ...
2048 SHA256:cEaUdyT6Hx04XRMm9rM/3XwpPfYW1pk8aLuPj+H/H74 root@2e945ea6c6c8 (RSA)
Creating SSH2 ECDSA key; this may take some time ...
256 SHA256:SdNsg649xnvS1iDxsRnLZyYbAoBuVC0AAgBn2BrpBIA root@2e945ea6c6c8 (ECDSA)
Creating SSH2 ED25519 key; this may take some time ...
256 SHA256:gp7YaazhqkMCaueTtGPhN4eqXQM7EY/qo6CIMJKJUAM root@2e945ea6c6c8 (ED25519)
Created symlink /etc/systemd/system/sshd.service → /lib/systemd/system/ssh.service.
Created symlink /etc/systemd/system/multi-user.target.wants/ssh.service → /lib/systemd/system/ssh.service.
invoke-rc.d: could not determine current runlevel
invoke-rc.d: policy-rc.d denied execution of start.
Setting up xauth (1:1.0.10-1) ...
Processing triggers for systemd (241-7~deb10u8) ...
Processing triggers for libc-bin (2.28-10) ...
Removing intermediate container 2e945ea6c6c8
---> 2e0c25b239f8
Step 5/12 : RUN sed -ri 's/UsePAM yes/#UsePAM yes/g' /etc/ssh/sshd_config && sed -ri 's/^#?PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config
---> Running in feb082ef3d54
Removing intermediate container feb082ef3d54
---> 04e7d111667f
Step 6/12 : ENV http_proxy ''
---> Running in d85cabc29931
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---> 7be3a0816c55
Step 7/12 : ENV https_proxy ''
---> Running in fde04a902add
Removing intermediate container fde04a902add
---> ab4b80bbf41d
Step 8/12 : ENV ftp_proxy ''
---> Running in e69f82c2dbdb
Removing intermediate container e69f82c2dbdb
---> b5e9f01546bd
Step 9/12 : RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && usermod -a -G HwHiAiUser hwMindX
---> Running in 4d1821f15a61
Removing intermediate container 4d1821f15a61
---> 62891e7cf121
Step 10/12 : RUN echo root:123123 | chpasswd
---> Running in 6f31c83a1b24
Removing intermediate container 6f31c83a1b24
---> 90fb27e9b246
Step 11/12 : USER hwMindX
---> Running in 3dca31695032
Removing intermediate container 3dca31695032
---> 3c8e3d5fb2df
Step 12/12 : ENTRYPOINT jupyter notebook --allow-root
---> Running in 0af4a0c4ebf0
Removing intermediate container 0af4a0c4ebf0
---> 36ec8fff3e06
Successfully built 36ec8fff3e06
Successfully tagged notebook:latest
root@ubuntu:~/123/jupyter-notebook#
root@ubuntu:~/123/jupyter-notebook# docker images | grep notebook
notebook latest 36ec8fff3e06 2 minutes ago 1.04GB
root@ubuntu:~/123/jupyter-notebook#十、构建 tensorboard 镜像
root@ubuntu:~/123# mkdir tensorboard
root@ubuntu:~/123# cd tensorboard
root@ubuntu:~/123/tensorboard# vi Dockerfile
root@ubuntu:~/123/tensorboard# cat Dockerfile
FROM python:3.7.5
# -------------------------(Optional) Configure the pip source.--[l(1] ---------------------
#ENV http_proxy http://<user>:<password>@ip:port
#ENV https_proxy http://<user>:<password>@ip:port
#ENV ftp_proxy ftp://<user>:<password>@ip:port
RUN mkdir -p ~/.pip \
&& echo '[global] \n\
index-url=https://pypi.doubanio.com/simple/\n\
trusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
RUN pip install --upgrade pip && pip install tensorboard==1.15.0
ENV http_proxy ''ENV https_proxy''
ENV ftp_proxy ''
RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && \
useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && \
usermod -a -G HwHiAiUser hwMindX
USER hwMindX
root@ubuntu:~/123/tensorboard# docker build -t tensorboard:latest .
Sending build context to Docker daemon 2.56kB
Step 1/8 : FROM python:3.7.5
---> a4356c370cda
Step 2/8 : RUN mkdir -p ~/.pip && echo '[global] \nindex-url=https://pypi.doubanio.com/simple/\ntrusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
---> Using cache
---> 2e9619b95f3c
Step 3/8 : RUN pip install --upgrade pip && pip install tensorboard==1.15.0
---> Running in 7d03c4546a34
Looking in indexes: https://pypi.doubanio.com/simple/
Collecting pip
Downloading https://pypi.doubanio.com/packages/ca/31/b88ef447d595963c01060998cb329251648acf4a067721b0452c45527eb8/pip-21.2.4-py3-none-any.whl (1.6MB)
Installing collected packages: pip
Found existing installation: pip 19.3.1
Uninstalling pip-19.3.1:
Successfully uninstalled pip-19.3.1
Successfully installed pip-21.2.4
Looking in indexes: https://pypi.doubanio.com/simple/
Collecting tensorboard==1.15.0
Downloading https://pypi.doubanio.com/packages/1e/e9/d3d747a97f7188f48aa5eda486907f3b345cd409f0a0850468ba867db246/tensorboard-1.15.0-py3-none-any.whl (3.8 MB)
Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/site-packages (from tensorboard==1.15.0) (41.6.0)
Collecting markdown>=2.6.8
Downloading https://pypi.doubanio.com/packages/6e/33/1ae0f71395e618d6140fbbc9587cc3156591f748226075e0f7d6f9176522/Markdown-3.3.4-py3-none-any.whl (97 kB)
Collecting six>=1.10.0
Downloading https://pypi.doubanio.com/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting numpy>=1.12.0
Downloading https://pypi.doubanio.com/packages/5c/61/b2f14fb5aa1198fa63c6c90205dc2557df5cacdeb0b16d66abc6af8724b8/numpy-1.21.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.0 MB)
Collecting werkzeug>=0.11.15
Downloading https://pypi.doubanio.com/packages/bd/24/11c3ea5a7e866bf2d97f0501d0b4b1c9bbeade102bb4b588f0d2919a5212/Werkzeug-2.0.1-py3-none-any.whl (288 kB)
Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/site-packages (from tensorboard==1.15.0) (0.33.6)
Collecting grpcio>=1.6.3
Downloading https://pypi.doubanio.com/packages/8d/87/f66686884e21e4350746a18e664202ab9b39a3cd527df3ff54a022935ee5/grpcio-1.39.0-cp37-cp37m-manylinux_2_24_aarch64.whl (38.5 MB)
Collecting protobuf>=3.6.0
Downloading https://pypi.doubanio.com/packages/fd/5f/6d6f7a5859caf79894685ec543354edc05538a0a34d63a411a2a7cb4ecfd/protobuf-3.17.3-cp37-cp37m-manylinux2014_aarch64.whl (922 kB)
Collecting absl-py>=0.4
Downloading https://pypi.doubanio.com/packages/23/47/835652c7e19530973c73c65e652fc53bd05725d5a7cf9bb8706777869c1e/absl_py-0.13.0-py3-none-any.whl (132 kB)
Collecting importlib-metadata
Downloading https://pypi.doubanio.com/packages/c0/72/4512a88e402d4dc3bab49a845130d95ac48936ef3a9469b55cc79a60d84d/importlib_metadata-4.6.4-py3-none-any.whl (17 kB)
Collecting zipp>=0.5
Downloading https://pypi.doubanio.com/packages/92/d9/89f433969fb8dc5b9cbdd4b4deb587720ec1aeb59a020cf15002b9593eef/zipp-3.5.0-py3-none-any.whl (5.7 kB)
Collecting typing-extensions>=3.6.4
Downloading https://pypi.doubanio.com/packages/2e/35/6c4fff5ab443b57116cb1aad46421fb719bed2825664e8fe77d66d99bcbc/typing_extensions-3.10.0.0-py3-none-any.whl (26 kB)
Installing collected packages: zipp, typing-extensions, six, importlib-metadata, werkzeug, protobuf, numpy, markdown, grpcio, absl-py, tensorboard
Successfully installed absl-py-0.13.0 grpcio-1.39.0 importlib-metadata-4.6.4 markdown-3.3.4 numpy-1.21.2 protobuf-3.17.3 six-1.16.0 tensorboard-1.15.0 typing-extensions-3.10.0.0 werkzeug-2.0.1 zipp-3.5.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container 7d03c4546a34
---> 4dd40311445c
Step 4/8 : ENV http_proxy ''
---> Running in 51e014124cef
Removing intermediate container 51e014124cef
---> 90694cc782ca
Step 5/8 : ENV https_proxy ''
---> Running in ddaaf7ceeded
Removing intermediate container ddaaf7ceeded
---> 66a6f22d6688
Step 6/8 : ENV ftp_proxy ''
---> Running in d18d506c95bb
Removing intermediate container d18d506c95bb
---> a6f8d3009ce3
Step 7/8 : RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && usermod -a -G HwHiAiUser hwMindX
---> Running in c29af506d5ed
Removing intermediate container c29af506d5ed
---> 5faf1754daba
Step 8/8 : USER hwMindX
---> Running in d032b1b13d00
Removing intermediate container d032b1b13d00
---> d00db512a587
Successfully built d00db512a587
Successfully tagged tensorboard:latest
root@ubuntu:~/123/tensorboard# docker images | grep tensorboard
tensorboard latest d00db512a587 3 minutes ago 1.12GB
root@ubuntu:~/123/tensorboard#十一、构建 mindinsight 镜像
root@ubuntu:~/123# mkdir mindinsight
root@ubuntu:~/123# cd mindinsight
root@ubuntu:~/123/mindinsight# wget https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.3.0/MindInsight/any/mindinsight-1.3.0-py3-none-any.whl
--2021-08-21 11:29:24-- https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.3.0/MindInsight/any/mindinsight-1.3.0-py3-none-any.whl
Resolving ms-release.obs.cn-north-4.myhuaweicloud.com (ms-release.obs.cn-north-4.myhuaweicloud.com)... 49.4.112.92, 49.4.112.3, 49.4.112.91
Connecting to ms-release.obs.cn-north-4.myhuaweicloud.com (ms-release.obs.cn-north-4.myhuaweicloud.com)|49.4.112.92|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 5422450 (5.2M) [binary/octet-stream]
Saving to:‘mindinsight-1.3.0-py3-none-any.whl’mindinsight-1.3.0-py3-none-any.whl 100%[====================================================================================================================>] 5.17M 24.3MB/s in 0.2s
2021-08-21 11:29:25 (24.3 MB/s) -‘mindinsight-1.3.0-py3-none-any.whl’saved [5422450/5422450]
root@ubuntu:~/123/mindinsight# vi Dockerfile
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight# cat Dockerfile
FROM python:3.7.5
# -------------------------(Optional) Configure the pip source.--[l(1] ---------------------
#ENV http_proxy http://<user>:<password>@ip:port
#ENV https_proxy http://<user>:<password>@ip:port
#ENV ftp_proxy ftp://<user>:<password>@ip:port
WORKDIR /tmp
COPY . ./
RUN mkdir -p ~/.pip \
&& echo '[global] \n\
index-url=https://pypi.doubanio.com/simple/\n\
trusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
RUN pip install --upgrade pip && pip3 install mindinsight-1.3.0-py3-none-any.whl && \
rm mindinsight-1.3.0-py3-none-any.whl && rm Dockerfile
RUN sed -i "/^HOST/cHOST ='0.0.0.0'" /usr/local/lib/python3.7/site-packages/mindinsight/conf/constants.py
ENV http_proxy ''ENV https_proxy''
ENV ftp_proxy ''
RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && \
useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && \
usermod -a -G HwHiAiUser hwMindX
root@ubuntu:~/123/mindinsight# vi start.sh
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight# vi start.sh
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight#
root@ubuntu:~/123/mindinsight# cat start.sh
#!/bin/bash
param=$*
mindinsight start $param
while true
do
sleep 30
processnum=`ps -ef | grep -w gunicorn | grep -v grep | wc -l`
if [$processnum -le 0];then
exit 1
fi
done
root@ubuntu:~/123/mindinsight# docker build -t mindinsight:latest .
Sending build context to Docker daemon 5.427MB
Step 1/10 : FROM python:3.7.5
---> a4356c370cda
Step 2/10 : WORKDIR /tmp
---> Using cache
---> 6dca759650eb
Step 3/10 : COPY . ./
---> 1c047c1f27a0
Step 4/10 : RUN mkdir -p ~/.pip && echo '[global] \nindex-url=https://pypi.doubanio.com/simple/\ntrusted-host=pypi.doubanio.com' >> ~/.pip/pip.conf
---> Running in 9ec07e2141f8
Removing intermediate container 9ec07e2141f8
---> d2770d9bceb0
Step 5/10 : RUN pip install --upgrade pip && pip3 install mindinsight-1.3.0-py3-none-any.whl && rm mindinsight-1.3.0-py3-none-any.whl && rm Dockerfile
---> Running in 4f6b33bf9638
Looking in indexes: https://pypi.doubanio.com/simple/
Collecting pip
Downloading https://pypi.doubanio.com/packages/ca/31/b88ef447d595963c01060998cb329251648acf4a067721b0452c45527eb8/pip-21.2.4-py3-none-any.whl (1.6MB)
Installing collected packages: pip
Found existing installation: pip 19.3.1
Uninstalling pip-19.3.1:
Successfully uninstalled pip-19.3.1
Successfully installed pip-21.2.4
Looking in indexes: https://pypi.doubanio.com/simple/
Processing ./mindinsight-1.3.0-py3-none-any.whl
Collecting treelib>=1.6.1
Downloading https://pypi.doubanio.com/packages/04/b0/2269c328abffbb63979f7143351a24a066776b87526d79956aea5018b80a/treelib-1.6.1.tar.gz (24 kB)
Collecting XlsxWriter>=1.3.2
Downloading https://pypi.doubanio.com/packages/68/51/f6f6aa86106712dad0db9663c7d24b6b32d2103b626d900fa68d48a9b262/XlsxWriter-3.0.1-py3-none-any.whl (148 kB)
Collecting pandas>=1.0.4
Downloading https://pypi.doubanio.com/packages/08/dc/d3513ec40c7df37a0e55b749a9b3a715f0d8b992c34c6ec6050bfd4a1703/pandas-1.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (10.7 MB)
Collecting MarkupSafe>=1.1.1
Downloading https://pypi.doubanio.com/packages/70/fc/5a7253a9c1c4e2a3feadb80a5def4563500daa4b2d4a39cae39483afa1b0/MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (26 kB)
Collecting scikit-learn>=0.23.1
Downloading https://pypi.doubanio.com/packages/f3/78/b4aa1db778c2eb4a2e7ee0df84461ecb1bb2019031fd08723bd4c923452f/scikit_learn-0.24.2-cp37-cp37m-manylinux2014_aarch64.whl (24.0 MB)
Collecting psutil>=5.7.0
Downloading https://pypi.doubanio.com/packages/e1/b0/7276de53321c12981717490516b7e612364f2cb372ee8901bd4a66a000d7/psutil-5.8.0.tar.gz (470 kB)
Collecting marshmallow>=3.10.0
Downloading https://pypi.doubanio.com/packages/2b/fb/d42cbb318e07c4d709a3cb8d85a2ca75fbb373fc536cb0afd36039233f32/marshmallow-3.13.0-py2.py3-none-any.whl (47 kB)
Collecting yapf>=0.30.0
Downloading https://pypi.doubanio.com/packages/5f/0d/8814e79eb865eab42d95023b58b650d01dec6f8ea87fc9260978b1bf2167/yapf-0.31.0-py2.py3-none-any.whl (185 kB)
Collecting Jinja2>=2.10.1
Downloading https://pypi.doubanio.com/packages/80/21/ae597efc7ed8caaa43fb35062288baaf99a7d43ff0cf66452ddf47604ee6/Jinja2-3.0.1-py3-none-any.whl (133 kB)
Collecting Flask>=1.1.1
Downloading https://pypi.doubanio.com/packages/54/4f/1b294c1a4ab7b2ad5ca5fc4a9a65a22ef1ac48be126289d97668852d4ab3/Flask-2.0.1-py3-none-any.whl (94 kB)
Collecting protobuf>=3.8.0
Downloading https://pypi.doubanio.com/packages/fd/5f/6d6f7a5859caf79894685ec543354edc05538a0a34d63a411a2a7cb4ecfd/protobuf-3.17.3-cp37-cp37m-manylinux2014_aarch64.whl (922 kB)
Collecting google-pasta>=0.1.8
Downloading https://pypi.doubanio.com/packages/a3/de/c648ef6835192e6e2cc03f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl (57 kB)
Collecting pyyaml>=5.3.1
Downloading https://pypi.doubanio.com/packages/32/ac/a9383af90be713b0cb2ee7c7eb4317ab76957ed0a7e4aa9b9c170a992565/PyYAML-5.4.1-cp37-cp37m-manylinux2014_aarch64.whl (716 kB)
Collecting gunicorn>=20.0.4
Downloading https://pypi.doubanio.com/packages/e4/dd/5b190393e6066286773a67dfcc2f9492058e9b57c4867a95f1ba5caf0a83/gunicorn-20.1.0-py3-none-any.whl (79 kB)
Collecting pillow>=6.2.0
Downloading https://pypi.doubanio.com/packages/df/97/e6e1aae9d75a7ac638cd7e5c5ddd1cf0ed3813275c07a43b68d081e1d479/Pillow-8.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB)
Collecting Click>=7.0
Downloading https://pypi.doubanio.com/packages/76/0a/b6c5f311e32aeb3b406e03c079ade51e905ea630fc19d1262a46249c1c86/click-8.0.1-py3-none-any.whl (97 kB)
Collecting scipy>=1.5.2
Downloading https://pypi.doubanio.com/packages/01/0b/279f3a059ee7e59aa087ccfe0c81e69fc286b869a9052f8c119ba1138a7b/scipy-1.7.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (27.3 MB)
Collecting grpcio<=1.36.0,>=1.35.0
Downloading https://pypi.doubanio.com/packages/9d/9e/18e92a4042fdee8613f5613a37cf7162d32b5674f1b12d0f7b042e7e710b/grpcio-1.36.0.tar.gz (21.5 MB)
Collecting Flask-Cors>=3.0.8
Downloading https://pypi.doubanio.com/packages/db/84/901e700de86604b1c4ef4b57110d4e947c218b9997adf5d38fa7da493bce/Flask_Cors-3.0.10-py2.py3-none-any.whl (14 kB)
Collecting numpy>=1.17.0
Downloading https://pypi.doubanio.com/packages/5c/61/b2f14fb5aa1198fa63c6c90205dc2557df5cacdeb0b16d66abc6af8724b8/numpy-1.21.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.0 MB)
Collecting six>=1.12.0
Downloading https://pypi.doubanio.com/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting itsdangerous>=1.1.0
Downloading https://pypi.doubanio.com/packages/9c/96/26f935afba9cd6140216da5add223a0c465b99d0f112b68a4ca426441019/itsdangerous-2.0.1-py3-none-any.whl (18 kB)
Collecting Werkzeug>=1.0.0
Downloading https://pypi.doubanio.com/packages/bd/24/11c3ea5a7e866bf2d97f0501d0b4b1c9bbeade102bb4b588f0d2919a5212/Werkzeug-2.0.1-py3-none-any.whl (288 kB)
Collecting importlib-metadata
Downloading https://pypi.doubanio.com/packages/c0/72/4512a88e402d4dc3bab49a845130d95ac48936ef3a9469b55cc79a60d84d/importlib_metadata-4.6.4-py3-none-any.whl (17 kB)
Requirement already satisfied: setuptools>=3.0 in /usr/local/lib/python3.7/site-packages (from gunicorn>=20.0.4->mindinsight==1.3.0) (41.6.0)
Collecting pytz>=2017.3
Downloading https://pypi.doubanio.com/packages/70/94/784178ca5dd892a98f113cdd923372024dc04b8d40abe77ca76b5fb90ca6/pytz-2021.1-py2.py3-none-any.whl (510 kB)
Collecting python-dateutil>=2.7.3
Downloading https://pypi.doubanio.com/packages/36/7a/87837f39d0296e723bb9b62bbb257d0355c7f6128853c78955f57342a56d/python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting threadpoolctl>=2.0.0
Downloading https://pypi.doubanio.com/packages/c6/e8/c216b9b60cbba4642d3ca1bae7a53daa0c24426f662e0e3ce3dc7f6caeaa/threadpoolctl-2.2.0-py3-none-any.whl (12 kB)
Collecting joblib>=0.11
Downloading https://pypi.doubanio.com/packages/55/85/70c6602b078bd9e6f3da4f467047e906525c355a4dacd4f71b97a35d9897/joblib-1.0.1-py3-none-any.whl (303 kB)
Collecting future
Downloading https://pypi.doubanio.com/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829 kB)
Collecting typing-extensions>=3.6.4
Downloading https://pypi.doubanio.com/packages/2e/35/6c4fff5ab443b57116cb1aad46421fb719bed2825664e8fe77d66d99bcbc/typing_extensions-3.10.0.0-py3-none-any.whl (26 kB)
Collecting zipp>=0.5
Downloading https://pypi.doubanio.com/packages/92/d9/89f433969fb8dc5b9cbdd4b4deb587720ec1aeb59a020cf15002b9593eef/zipp-3.5.0-py3-none-any.whl (5.7 kB)
Building wheels for collected packages: grpcio, psutil, treelib, future
Building wheel for grpcio (setup.py): started
Building wheel for grpcio (setup.py): still running...
Building wheel for grpcio (setup.py): finished with status 'done'
Created wheel for grpcio: filename=grpcio-1.36.0-cp37-cp37m-linux_aarch64.whl size=43277028 sha256=0f9c41905a2331f6405bee3d2e7dcf083ea1aa6e39f85ae1190ff3a2ce98069a
Stored in directory: /root/.cache/pip/wheels/dd/72/74/30b696f7d2a6abedf42d201eccd5f7a03f84931dfaa4b147db
Building wheel for psutil (setup.py): started
Building wheel for psutil (setup.py): finished with status 'done'
Created wheel for psutil: filename=psutil-5.8.0-cp37-cp37m-linux_aarch64.whl size=295178 sha256=34f88db3e2056672357f438d0d338027bb65594437eafb4ae7c391ad0380d8bb
Stored in directory: /root/.cache/pip/wheels/2f/c7/77/86efc5d98b9a79575ab1aaa9c24651f8841e57d46862979efd
Building wheel for treelib (setup.py): started
Building wheel for treelib (setup.py): finished with status 'done'
Created wheel for treelib: filename=treelib-1.6.1-py3-none-any.whl size=18370 sha256=437a681028a4c479a0cc23c87a01a2cc51be82dc9fd355f3baa9e1363fe7fa5b
Stored in directory: /root/.cache/pip/wheels/44/dd/b6/a9967a60d3575162a2e29846347f826dcb20466b0a1b67198e
Building wheel for future (setup.py): started
Building wheel for future (setup.py): finished with status 'done'
Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491056 sha256=5b3be1990014b279b2ec75bfb2ba81737b5f2eee949d6573c7924391bdd19ed7
Stored in directory: /root/.cache/pip/wheels/97/83/dc/8e47b8e3874918101250790fbce5d89fef8d0c33eb8097ad07
Successfully built grpcio psutil treelib future
Installing collected packages: zipp, typing-extensions, MarkupSafe, importlib-metadata, Werkzeug, six, numpy, Jinja2, itsdangerous, Click, threadpoolctl, scipy, pytz, python-dateutil, joblib, future, Flask, yapf, XlsxWriter, treelib, scikit-learn, pyyaml, psutil, protobuf, pillow, pandas, marshmallow, gunicorn, grpcio, google-pasta, Flask-Cors, mindinsight
Successfully installed Click-8.0.1 Flask-2.0.1 Flask-Cors-3.0.10 Jinja2-3.0.1 MarkupSafe-2.0.1 Werkzeug-2.0.1 XlsxWriter-3.0.1 future-0.18.2 google-pasta-0.2.0 grpcio-1.36.0 gunicorn-20.1.0 importlib-metadata-4.6.4 itsdangerous-2.0.1 joblib-1.0.1 marshmallow-3.13.0 mindinsight-1.3.0 numpy-1.21.2 pandas-1.3.2 pillow-8.3.1 protobuf-3.17.3 psutil-5.8.0 python-dateutil-2.8.2 pytz-2021.1 pyyaml-5.4.1 scikit-learn-0.24.2 scipy-1.7.1 six-1.16.0 threadpoolctl-2.2.0 treelib-1.6.1 typing-extensions-3.10.0.0 yapf-0.31.0 zipp-3.5.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container 4f6b33bf9638
---> 2ef8fa6e4a74
Step 6/10 : RUN sed -i "/^HOST/cHOST ='0.0.0.0'" /usr/local/lib/python3.7/site-packages/mindinsight/conf/constants.py
---> Running in 1da0a898001b
Removing intermediate container 1da0a898001b
---> 08940216b1cc
Step 7/10 : ENV http_proxy ''
---> Running in 34dee7b0cd32
Removing intermediate container 34dee7b0cd32
---> 7b7d62b31d09
Step 8/10 : ENV https_proxy ''
---> Running in ccc705d304f8
Removing intermediate container ccc705d304f8
---> a533d73340db
Step 9/10 : ENV ftp_proxy ''
---> Running in 583ab62da6b4
Removing intermediate container 583ab62da6b4
---> e9377900aedc
Step 10/10 : RUN useradd -d /home/hwMindX -u 9000 -m -s /bin/bash hwMindX && useradd -d /home/HwHiAiUser -u 1000 -m -s /bin/bash HwHiAiUser && usermod -a -G HwHiAiUser hwMindX
---> Running in c111b84f6220
Removing intermediate container c111b84f6220
---> 7c11b719966b
Successfully built 7c11b719966b
Successfully tagged mindinsight:latest
root@ubuntu:~/123/mindinsight# docker images | grep mindinsight
mindinsight latest 7c11b719966b 17 seconds ago 1.52GB
root@ubuntu:~/123/mindinsight#
十二、配置 Grafana
关上 Prometheus 地址》抉择“Status > Targets”》当 kubenetes-cadvisor 下的“Endpoint”状态为“UP”时，记录“Labels”下的 job 值，该值为 cadvisor 所在节点的 nodeName，下方文件中的“nodeName”批量替换成此名称。
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": null,
"graphTooltip": 0,
"id": 2,
"links": [],
"panels": [
{
"datasource": null,
"fieldConfig": {
"defaults": {"custom": {},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []},
"gridPos": {
"h": 8,
"w": 7,
"x": 0,
"y": 0
},
"id": 2,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": ["mean"],
"fields": "","values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "7.0.2",
"targets": [
{"expr": "npu_chip_info_health_status{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_health_status{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_health_status{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_health_status{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_health_status{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_health_status{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_health_status{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_health_status{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"timeFrom": null,
"timeShift": null,
"title": "npu 衰弱状态 (nodeName)",
"type": "gauge"
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "Prometheus",
"fieldConfig": {
"defaults": {"custom": {},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 7,
"y": 0
},
"hiddenSeries": false,
"id": 6,
"legend": {
"avg": false,
"current": false,
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"pluginVersion": "7.0.3",
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{"expr": "npu_chip_info_temperature{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_temperature{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_temperature{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_temperature{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_temperature{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_temperature{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_temperature{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_temperature{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"thresholds": [],
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"timeRegions": [],
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"tooltip": {
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"value_type": "individual"
},
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{
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],
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}
},
{
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"fieldConfig": {
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"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
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{
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]
}
},
"overrides": []},
"gridPos": {
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"w": 8,
"x": 15,
"y": 0
},
"id": 12,
"options": {
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"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": ["mean"],
"fields": "","values": false
}
},
"pluginVersion": "7.0.2",
"targets": [
{"expr": "npu_chip_info_voltage{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_voltage{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_voltage{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_voltage{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_voltage{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_voltage{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_voltage{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_voltage{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"timeFrom": null,
"timeShift": null,
"title": "npu 电压 (nodeName)",
"type": "stat"
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": null,
"fieldConfig": {
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"thresholds": {
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},
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"fill": 1,
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"gridPos": {
"h": 8,
"w": 7,
"x": 0,
"y": 8
},
"hiddenSeries": false,
"id": 8,
"legend": {
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"current": false,
"max": false,
"min": false,
"show": true,
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"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {"dataLinks": []
},
"percentage": false,
"pluginVersion": "7.0.3",
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{"expr": "npu_chip_info_used_memory{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_used_memory{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_used_memory{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_used_memory{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_used_memory{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_used_memory{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_used_memory{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_used_memory{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "npu 内存应用 (nodeName)",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
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"mode": "time",
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"values": []},
"yaxes": [
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"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": null,
"description": "","fieldConfig": {"defaults": {"custom": {"align": null},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
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"value": null
},
{
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"value": 80
}
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}
},
"overrides": []},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 7,
"y": 8
},
"hiddenSeries": false,
"id": 10,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
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"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {"dataLinks": []
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"percentage": false,
"pluginVersion": "7.0.3",
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{"expr": "npu_chip_info_utilization{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_utilization{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_utilization{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_utilization{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_utilization{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_utilization{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_utilization{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_utilization{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "npu_AI_Core 使用率 (nodeName)",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
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"values": []},
"yaxes": [
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"max": null,
"min": null,
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},
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"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": null,
"fieldConfig": {
"defaults": {
"custom": {"align": null},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
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"value": null
},
{
"color": "red",
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}
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}
},
"overrides": []},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 15,
"y": 8
},
"hiddenSeries": false,
"id": 4,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {"dataLinks": []
},
"percentage": false,
"pluginVersion": "7.0.3",
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{"expr": "npu_chip_info_power{id=\"0\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 0","refId":"A"
},
{"expr": "npu_chip_info_power{id=\"1\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 1","refId":"B"
},
{"expr": "npu_chip_info_power{id=\"2\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 2","refId":"C"
},
{"expr": "npu_chip_info_power{id=\"3\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 3","refId":"D"
},
{"expr": "npu_chip_info_power{id=\"4\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 4","refId":"E"
},
{"expr": "npu_chip_info_power{id=\"5\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 5","refId":"F"
},
{"expr": "npu_chip_info_power{id=\"6\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 6","refId":"G"
},
{"expr": "npu_chip_info_power{id=\"7\",job=\"nodeName\"}",
"interval": "","legendFormat":" 芯片 7","refId":"H"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "npu 应用功耗 (nodeName)",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": null,
"fieldConfig": {
"defaults": {"custom": {}
},
"overrides": []},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 10,
"w": 7,
"x": 0,
"y": 16
},
"hiddenSeries": false,
"id": 20,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {"dataLinks": []
},
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
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"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "container_memory_usage_bytes",
"interval": "","legendFormat":"",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "容器内存使用量",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []},
"yaxes": [
{
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"max": null,
"min": null,
"show": true
},
{
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"max": null,
"min": null,
"show": true
}
],
"yaxis": {
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"alignLevel": null
}
},
{"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": null,
"fieldConfig": {
"defaults": {"custom": {}
},
"overrides": []},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 10,
"w": 7,
"x": 7,
"y": 16
},
"hiddenSeries": false,
"id": 18,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {"dataLinks": []
},
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{"expr": "sum(rate(container_network_receive_bytes_total{image!=\"\"}[1m])) without (interface)",
"interval": "","legendFormat":"",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "容器网络接管量速率",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []},
"yaxes": [
{
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"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
}
],
"refresh": "5s",
"schemaVersion": 25,
"style": "dark",
"tags": [],
"templating": {"list": []
},
"time": {
"from": "now-15m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
]
},
"timezone": "","title":"nodeName","uid":"2kWOIniGz","version": 7
}
查看 pod：
root@ubuntu:~# kubectl get pod -A
NAMESPACE NAME READY STATUS RESTARTS AGE
cadvisor cadvisor-phj6x 1/1 Running 1 17h
default dls-cec-deploy-686bd4d6cd-gtrqb 1/1 Running 2 15h
default dls-mms-deploy-6fd697754f-8xkkv 1/1 Running 2 15h
default hccl-controller-645bb466f-lw9b4 1/1 Running 1 17h
default tjm-77f784dcf-6s2f4 1/1 Running 2 15h
kube-system ascend-device-plugin-daemonset-qrfbx 1/1 Running 1 17h
kube-system calico-kube-controllers-8464785d6b-tl44n 1/1 Running 1 17h
kube-system calico-node-lm7x5 1/1 Running 1 17h
kube-system coredns-6955765f44-czzws 1/1 Running 1 17h
kube-system coredns-6955765f44-t2n4z 1/1 Running 1 17h
kube-system dls-apigw-deploy-9f58f549-sklgc 1/1 Running 2 15h
kube-system dls-dms-deploy-76b79854cc-6m54s 1/1 Running 2 15h
kube-system dls-ims-deploy-5445d6cc9d-96chh 1/1 Running 2 15h
kube-system dls-nginx-deploy-7c9d889998-84956 1/1 Running 0 15h
kube-system etcd-ubuntu 1/1 Running 1 17h
kube-system grafana-core-f97475d78-b74ww 1/1 Running 0 15h
kube-system kube-apiserver-ubuntu 1/1 Running 1 17h
kube-system kube-controller-manager-ubuntu 1/1 Running 1 17h
kube-system kube-proxy-rljv7 1/1 Running 1 17h
kube-system kube-scheduler-ubuntu 1/1 Running 1 17h
kube-system mysql-5cccdd88bd-mqv27 1/1 Running 0 15h
kube-system prometheus-58c69548b4-bgw4h 1/1 Running 0 15h
kube-system redis-deploy-7fbc4fb97d-bkkmb 1/1 Running 0 15h
volcano-system volcano-admission-74776688c8-45mr8 1/1 Running 1 17h
volcano-system volcano-admission-init-zgr5t 0/1 Completed 0 17h
volcano-system volcano-controllers-6786db54f-nwnfw 1/1 Running 1 17h
volcano-system volcano-scheduler-844f9b547b-qkxgt 1/1 Running 1 17h
root@ubuntu:~#
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