configs/experiment/slate/clevr6.yaml

# @package _global_
# Configuration to exactly reproduce unsupervised object recognition of the original SLATE
# paper.
defaults:
  - /experiment/slate/_base  # (1)!
  - /dataset: clevr6  # (2)!
  - /experiment/slate/_clevr_preprocessing # (3)!
  - /experiment/slate/_metrics_clevr_patch # (4)!
  - _self_

# The following parameters assume training on 8 GPUs, leading to an effective batch size of 64.
trainer:
  devices: 8
  max_steps: 50000
  max_epochs:

dataset:
  num_workers: 4
  batch_size: 9

models:
  conditioning:
    n_slots: 11

  masks_as_image:
    _target_: routed.ocl.utils.resizing.Resize
    input_path: object_decoder.masks
    size: 128
    resize_mode: bilinear
    patch_mode: true