diff options
Diffstat (limited to 'training/conf/experiment')
-rw-r--r-- | training/conf/experiment/vqgan.yaml | 55 | ||||
-rw-r--r-- | training/conf/experiment/vqvae.yaml | 11 | ||||
-rw-r--r-- | training/conf/experiment/vqvae_pixelcnn.yaml | 24 |
3 files changed, 85 insertions, 5 deletions
diff --git a/training/conf/experiment/vqgan.yaml b/training/conf/experiment/vqgan.yaml new file mode 100644 index 0000000..3d97892 --- /dev/null +++ b/training/conf/experiment/vqgan.yaml @@ -0,0 +1,55 @@ +# @package _global_ + +defaults: + - override /network: vqvae + - override /criterion: vqgan_loss + - override /model: lit_vqgan + - override /callbacks: wandb_vae + - override /lr_schedulers: null + +datamodule: + batch_size: 8 + +lr_schedulers: + - generator: + T_max: 256 + eta_min: 0.0 + last_epoch: -1 + + interval: epoch + monitor: val/loss + + - discriminator: + T_max: 256 + eta_min: 0.0 + last_epoch: -1 + + interval: epoch + monitor: val/loss + +optimizer: + - generator: + _target_: torch.optim.lr_scheduler.CosineAnnealingLR + T_max: 256 + eta_min: 0.0 + last_epoch: -1 + + interval: epoch + monitor: val/loss + parameters: network + + - discriminator: + _target_: torch.optim.lr_scheduler.CosineAnnealingLR + T_max: 256 + eta_min: 0.0 + last_epoch: -1 + + interval: epoch + monitor: val/loss + parameters: loss_fn + +trainer: + max_epochs: 256 + # gradient_clip_val: 0.25 + +summary: null diff --git a/training/conf/experiment/vqvae.yaml b/training/conf/experiment/vqvae.yaml index 7a9e643..397a039 100644 --- a/training/conf/experiment/vqvae.yaml +++ b/training/conf/experiment/vqvae.yaml @@ -2,17 +2,18 @@ defaults: - override /network: vqvae - - override /criterion: mse + - override /criterion: mae - override /model: lit_vqvae - override /callbacks: wandb_vae - - override /lr_scheduler: cosine_annealing + - override /lr_schedulers: + - cosine_annealing trainer: - max_epochs: 64 + max_epochs: 256 # gradient_clip_val: 0.25 datamodule: - batch_size: 16 + batch_size: 8 # lr_scheduler: # epochs: 64 @@ -21,4 +22,4 @@ datamodule: # optimizer: # lr: 1.0e-3 -summary: [1, 576, 640] +summary: null diff --git a/training/conf/experiment/vqvae_pixelcnn.yaml b/training/conf/experiment/vqvae_pixelcnn.yaml new file mode 100644 index 0000000..4fae782 --- /dev/null +++ b/training/conf/experiment/vqvae_pixelcnn.yaml @@ -0,0 +1,24 @@ +# @package _global_ + +defaults: + - override /network: vqvae_pixelcnn + - override /criterion: mae + - override /model: lit_vqvae + - override /callbacks: wandb_vae + - override /lr_schedulers: + - cosine_annealing + +trainer: + max_epochs: 256 + # gradient_clip_val: 0.25 + +datamodule: + batch_size: 8 + +# lr_scheduler: + # epochs: 64 + # steps_per_epoch: 1245 + +# optimizer: + # lr: 1.0e-3 + |