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config.yaml
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config.yaml
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# @package _global_
# primary nsf_config file for experiments
defaults:
- _self_
- hydra/job_logging: simple
- problem: sgbs_merged_500
- encoder: gnn_pool
- decoder: ff
- meta: train
hydra:
# standard output path
# change with command line argument: hydra.run.dir=XXX
run:
dir: outputs/${run_type}/${DSET}${model_args.problem}_${model_args.graph_size}/${enc}_${dec}/${now:%Y-%m-%d_%H-%M-%S_%f}
# overwrite root log level
job_logging:
root:
level: ${log_lvl}
#
# help flag output. customize for application
help:
# App name, override to match the name your app is known by
app_name: ${hydra.job.name}.py - train or evaluate specified models according to nsf_config.
# Help header, customize to describe your app to your users
header: |
${hydra.help.app_name}
footer: |
Use --hydra-help to view Hydra specific help
template: |
${hydra.help.header}
== Configuration groups ==
Compose your configuration from those groups (group=option)
$APP_CONFIG_GROUPS
== Config ==
Override anything in the config (foo.bar=value)
$CONFIG
${hydra.help.footer}