training/conf/experiment/vqvae.yaml


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# @package _global_

defaults:
  - override /network: vqvae
  - override /criterion: mse
  - override /model: lit_vqvae
  - override /callbacks: wandb_vae
  - override /lr_scheduler: cosine_annealing

trainer:
  max_epochs: 64
  # gradient_clip_val: 0.25

datamodule:
  batch_size: 16

# lr_scheduler:
  # epochs: 64
  # steps_per_epoch: 1245

# optimizer:
  # lr: 1.0e-3

summary: [1, 576, 640]