configs/experiment/projects/bridging/slot_attention/voc2012_trainaug.yaml
# @package _global_
defaults:
- /experiment/projects/bridging/slot_attention/_base_large # (1)!
- /dataset: voc2012_trainaug # (2)!
- /experiment/projects/bridging/slot_attention/_preprocessing_voc2012_trainaug # (3)!
- /experiment/projects/bridging/slot_attention/_metrics_coco # (4)!
- _self_
trainer:
devices: 8
max_steps: 500000
max_epochs:
gradient_clip_val: 1.0
check_val_every_n_epoch: 50
dataset:
num_workers: 4
batch_size: 8
models:
conditioning:
_target_: routed.ocl.conditioning.RandomConditioning
object_dim: 256
n_slots: 11
batch_size_path: input.batch_size
- /experiment/projects/bridging/slot_attention/_base_large
- /dataset/voc2012_trainaug
- /experiment/projects/bridging/slot_attention/_preprocessing_voc2012_trainaug
- /experiment/projects/bridging/slot_attention/_metrics_coco