# path to root directory
# this requires PROJECT_ROOT environment variable to exist
# you can replace it with "." if you want the root to be the current working directory
root_dir: ${oc.env:PROJECT_ROOT}

# path to data directory
data_dir: ${paths.root_dir}/data/

# path to logging directory
log_dir: ${paths.root_dir}/logs/

# path to checkpoint directory
ckpt_dir: ${paths.root_dir}/checkpoints

# path to artifact directory
artifact_dir: ${paths.root_dir}/artifacts/

# download url for the dataset
data_url: "https://download.pytorch.org/tutorials/cats_and_dogs_filtered.zip"

# path to output directory, created dynamically by hydra
# path generation pattern is specified in `configs/hydra/default.yaml`
# use it to store all files generated during the run, like ckpts and metrics
output_dir: ${hydra:runtime.output_dir}

# path to working directory
work_dir: ${hydra:runtime.cwd}