Assets

Description:

Avalanche is an open-source end-to-end Continual Learning library based on PyTorch. Its goal is to support fast prototyping, training and evaluation of continual learning algorithms. Its initial focus was on continual supervised learning for vision tasks. It focuses on reproducibility, scalability and code efficiency (e.g., requiring less code, allowing faster iteration and reducing errors).

Input parameters:

JUPYTERLAB_PASSWORD: Password for JupyterLab interface

DATA_PATH: The data path specifies the location of the avalanche container, where data is stored, and it should be synchronized with Rclone MS

REGISTRY_PATH: The registry path indicates the model location and should be synchronized with Rclone MS

Default port(s):

8888: The JupyterLab interface.

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https://avalanche.continualai.org/

https://github.com/ContinualAI/avalanche

Classification: Other

Type: Other

Expected User's Input Parameters

Container Deployment Information

• Format: docker-compose
• Data:

  01. services:
  02.   avalanche:
  03.     environment:
  04.     - JUPYTERLAB_PORT=8888
  05.     - JUPYTERLAB_PASSWORD=${JUPYTERLAB_PASSWORD}
  06.     image: dbs-container-repo.emgora.eu/avalanche:0.4.0
  07.     ports:
  08.     - mode: host
  09.       protocol: TCP
  10.       published: '8888'
  11.       target: '8888'
  12.     privileged: true
  13.     volumes:
  14.     - bind:
  15.         propagation: rshared
  16.       source: ${DATA_PATH}
  17.       target: /data
  18.       type: bind
  19.     - bind:
  20.         propagation: rshared
  21.       source: ${REGISTRY_PATH}
  22.       target: /model
  23.       type: bind
  24. version: '3.9'
  25. 

• GUI Microservice: Yes
• Workload type: service
• Opened ports: 8888