{% extends "base.html" %} {% set active_page = "modules" %} {% block subtitle %} - {{ selected_module }} - Configure training {% endblock %} {% block content %}

Configure training: {% if module_meta['title'] is defined %}{{ module_meta['title'] }}{% else %}{{ modulename }}{% endif %}

{% include 'flashed_messages.html' %}
Start by configuring the General configuration, as it will prefill the Specific configuration with proper values. Once you have this dialed out, you can proceed to finetune the Specific configuration to your needs (eg. increase number of CPUs).

When selecting DEEPaaS you won't be able to use JupyterLab, and vice versa. If you want to have access to both services at the same time your best option is to deploy with JupyterLab, then open a terminal window and run DEEPaaS yourself typing `deepaas-run`.
You should choose the appropriate tag for your selected hardware. Check the module documentation for more details if unsure.

{% for group, inputs in template_meta["grouped"].items() %}
{{ group[0]|upper }}{{ group[1:] }} options:
{% for key, value in inputs.items() %} {% include 'modules/_input_types.html' %} {% endfor %}
{% endfor %}
Cancel

Template name
Scheduling options:
Provider selection:
Use providers with marathon enabled (ie. XXX: YYY.marathon). If you want to use GPUs with your deployments you should also select providers with gpu_support: True.
Cancel
{% endblock %}