Add new config files

1 files changed, 105 insertions, 0 deletions

diff --git a/training/conf/experiment/vqgan_iam_lines.yaml b/training/conf/experiment/vqgan_iam_lines.yaml
new file mode 100644
index 0000000..8bdf415
--- /dev/null
+++ b/training/conf/experiment/vqgan_iam_lines.yaml
@@ -0,0 +1,105 @@
+# @package _global_
+
+defaults:
+  - override /network: null
+  - override /criterion: null
+  - override /datamodule: null
+  - override /model: lit_vqgan
+  - override /callbacks: wandb_vae
+  - override /optimizers: null
+  - override /lr_schedulers: null
+
+criterion:
+  _target_: text_recognizer.criterions.vqgan_loss.VQGANLoss
+  reconstruction_loss:
+    _target_: torch.nn.BCEWithLogitsLoss
+    reduction: mean
+  discriminator:
+    _target_: text_recognizer.criterions.n_layer_discriminator.NLayerDiscriminator
+    in_channels: 1
+    num_channels: 64
+    num_layers: 3
+  commitment_weight: 0.25
+  discriminator_weight: 0.8
+  discriminator_factor: 1.0
+  discriminator_iter_start: 1.5e4
+
+datamodule:
+  _target_: text_recognizer.data.iam_lines.IAMLines
+  batch_size: 24
+  num_workers: 12
+  train_fraction: 0.8
+  augment: true
+  pin_memory: false
+
+lr_schedulers:
+  generator:
+    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
+    T_max: 64
+    eta_min: 4.5e-6
+    last_epoch: -1
+    interval: epoch
+    monitor: val/loss
+#   discriminator:
+#     _target_: torch.optim.lr_scheduler.CosineAnnealingLR
+#     T_max: 64
+#     eta_min: 0.0
+#     last_epoch: -1
+# 
+#     interval: epoch
+#     monitor: val/loss
+
+optimizers:
+  generator:
+    _target_: madgrad.MADGRAD
+    lr: 1.0e-4
+    momentum: 0.5
+    weight_decay: 0
+    eps: 1.0e-7
+    parameters: network
+
+  discriminator:
+    _target_: madgrad.MADGRAD
+    lr: 4.5e-6
+    momentum: 0.5
+    weight_decay: 0
+    eps: 1.0e-6
+    parameters: loss_fn.discriminator
+
+network:
+  _target_: text_recognizer.networks.vqvae.vqvae.VQVAE
+  hidden_dim: 256
+  embedding_dim: 32
+  num_embeddings: 512
+  decay: 0.99
+  encoder:
+    _target_: text_recognizer.networks.vqvae.encoder.Encoder
+    in_channels: 1 
+    hidden_dim: 32
+    channels_multipliers: [1, 4, 8]
+    dropout_rate: 0.0
+    activation: mish
+    use_norm: true
+    num_residuals: 2
+    residual_channels: 32
+  decoder:
+    _target_: text_recognizer.networks.vqvae.decoder.Decoder
+    out_channels: 1 
+    hidden_dim: 32
+    channels_multipliers: [8, 4, 1]
+    dropout_rate: 0.0
+    activation: mish
+    use_norm: true
+    num_residuals: 2 
+    residual_channels: 32
+
+trainer:
+  max_epochs: 64
+  # limit_train_batches: 0.1
+  # limit_val_batches: 0.1
+  # gradient_clip_val: 100
+
+# tune: false
+# train: true
+# test: false
+summary: [2, 1, 56, 1024]