configs/training/trainer/any_gpu_large_ssim_ddp_final_benchmark.yaml

# @package _group_
kwargs:
  gpus: -1
  accelerator: ddp
  max_epochs: 40
  gradient_clip_val: 1
  log_gpu_memory: None  # set to min_max or all for debug
  limit_train_batches: 25000
  val_check_interval: ${trainer.kwargs.limit_train_batches}
  # fast_dev_run: True  # uncomment for faster debug
  # track_grad_norm: 2  # uncomment to track L2 gradients norm
  log_every_n_steps: 250
  precision: 32
#  precision: 16
#  amp_backend: native
#  amp_level: O1
  # resume_from_checkpoint: path  # override via command line trainer.resume_from_checkpoint=path_to_checkpoint
  terminate_on_nan: False
  # auto_scale_batch_size: True  # uncomment to find largest batch size
  check_val_every_n_epoch: 1
  num_sanity_val_steps: 8
#  limit_val_batches: 1000000
  replace_sampler_ddp: False
  benchmark: True

checkpoint_kwargs:
  verbose: True
  save_top_k: 5
  save_last: True
  period: 1
  monitor: val_ssim_fid100_f1_total_mean
  mode: max