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var test = "hello"; |
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version: '2' | |
services: | |
load-balancer: | |
image: nginx | |
ports: ["80:80"] | |
volumes: ["./example.conf:/etc/nginx/conf.d/example.conf:ro"] | |
web-server: |
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version: '2' | |
services: | |
registry: | |
image: registry:2 | |
ports: | |
- "127.0.0.1:5500:5000" | |
environment: | |
REGISTRY_STORAGE_DELETE_ENABLED: 'true' |
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registry: | |
image: registry:2 | |
ports: | |
- 127.0.0.1:5500:5000 | |
environment: | |
REGISTRY_STORAGE_DELETE_ENABLED: 'true' | |
REGISTRY_STORAGE_S3_ACCESSKEY: ${AWS_ACCESS_KEY} | |
REGISTRY_STORAGE_S3_SECRETKEY: ${AWS_SECRET_KEY} | |
volumes: | |
["./config.yml:/etc/docker/registry/config.yml"] |
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version: '2' | |
services: | |
worker: | |
build: . | |
environment: | |
PG_DATABASE: ${PG_DATABASE} | |
PG_USER: ${PG_USER} | |
PG_PASSWORD: ${PG_PASSWORD} | |
volumes: |
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version: '2' | |
services: | |
#RabbitMQ broker, for Celery | |
rabbit: | |
hostname: rabbit | |
image: rabbitmq:3.7.3 | |
environment: | |
- RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER} | |
- RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS} |
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version: '2' | |
services: | |
nginx-front: | |
image: nginx:stable | |
ports: | |
- "3000:80" | |
volumes: | |
- ./nginx-front.conf:/etc/nginx/nginx.conf | |
links: |
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version: '2' | |
services: | |
nginx-front: | |
image: nginx:stable | |
ports: | |
- "3000:80" | |
volumes: | |
- ./nginx-front.conf:/etc/nginx/nginx.conf | |
links: |
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# Run those commands: | |
conda update conda | |
conda update anaconda | |
conda update python | |
conda update –all | |
conda create –name tf-gpu | |
cmd | |
activate tf-gpu | |
conda install -c aaronzs tensorflow-gpu #(note: this channel proposes a recent Tensorflow binary for windows) | |
conda install -c anaconda cudatoolkit |
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version: '3' | |
services: | |
nginx-proxy-google: | |
networks: | |
- no-internet | |
- internet | |
image: nginx:stable | |
volumes: | |
- ./nginx_proxy_google.conf:/etc/nginx/nginx.conf |
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