Update experiment configs

4 files changed, 127 insertions, 38 deletions

diff --git a/training/conf/experiment/htr_char.yaml b/training/conf/experiment/htr_char.yaml
deleted file mode 100644
index e51a116..0000000
--- a/training/conf/experiment/htr_char.yaml
+++ /dev/null
@@ -1,17 +0,0 @@
-# @package _global_
-
-defaults:
-  - override /mapping: characters
-
-datamodule:
-  word_pieces: false
-
-criterion:
-  ignore_index: 3
-
-network:
-  num_classes: 58
-  pad_index: 3
-
-model:
-  max_output_len: 682
diff --git a/training/conf/experiment/vq_htr_char.yaml b/training/conf/experiment/vq_htr_char.yaml
new file mode 100644
index 0000000..b34dd11
--- /dev/null
+++ b/training/conf/experiment/vq_htr_char.yaml
@@ -0,0 +1,74 @@
+# @package _global_
+
+defaults:
+  - override /mapping: null
+  - override /network: null
+  - override /model: null
+
+mapping:
+  _target_: text_recognizer.data.emnist_mapping.EmnistMapping
+  extra_symbols: [ "\n" ]
+
+datamodule:
+  word_pieces: false
+  batch_size: 8
+
+criterion:
+  ignore_index: 3
+
+network:
+  _target_: text_recognizer.networks.vq_transformer.VqTransformer
+  input_dims: [1, 576, 640]
+  encoder_dim: 64
+  hidden_dim: 64
+  dropout_rate: 0.1
+  num_classes: 58
+  pad_index: 3
+  no_grad: false
+  encoder:
+    _target_: text_recognizer.networks.vqvae.vqvae.VQVAE
+    hidden_dim: 128
+    embedding_dim: 64
+    num_embeddings: 1024
+    decay: 0.99
+    encoder:
+      _target_: text_recognizer.networks.vqvae.encoder.Encoder
+      in_channels: 1 
+      hidden_dim: 64
+      channels_multipliers: [1, 1, 2, 2]
+      dropout_rate: 0.0
+    decoder:
+      _target_: text_recognizer.networks.vqvae.decoder.Decoder
+      out_channels: 1 
+      hidden_dim: 64
+      channels_multipliers: [2, 2, 1, 1]
+      dropout_rate: 0.0
+  decoder:
+    _target_: text_recognizer.networks.transformer.Decoder
+    dim: 64
+    depth: 2
+    num_heads: 4
+    attn_fn: text_recognizer.networks.transformer.attention.Attention
+    attn_kwargs:
+      dim_head: 32
+      dropout_rate: 0.2
+    norm_fn: torch.nn.LayerNorm
+    ff_fn: text_recognizer.networks.transformer.mlp.FeedForward
+    ff_kwargs:
+      dim_out: null
+      expansion_factor: 4
+      glu: true
+      dropout_rate: 0.2
+    cross_attend: true
+    pre_norm: true
+    rotary_emb: null
+
+  # pretrained_encoder_path: "training/logs/runs/2021-09-13/08-35-57/checkpoints/epoch=98.ckpt"
+
+model:
+  _target_: text_recognizer.models.vq_transformer.VqTransformerLitModel
+  start_token: <s>
+  end_token: <e>
+  pad_token: <p>
+  max_output_len: 682
+  # max_output_len: 451
diff --git a/training/conf/experiment/vqgan.yaml b/training/conf/experiment/vqgan.yaml
index 9224bc7..6c78deb 100644
--- a/training/conf/experiment/vqgan.yaml
+++ b/training/conf/experiment/vqgan.yaml
@@ -2,7 +2,7 @@
 
 defaults:
   - override /network: vqvae
-  - override /criterion: vqgan_loss
+  - override /criterion: null
   - override /model: lit_vqgan
   - override /callbacks: wandb_vae
   - override /optimizers: null
@@ -11,7 +11,7 @@ defaults:
 criterion:
   _target_: text_recognizer.criterions.vqgan_loss.VQGANLoss
   reconstruction_loss:
-    _target_: torch.nn.L1Loss
+    _target_: torch.nn.MSELoss
     reduction: mean
   discriminator:
     _target_: text_recognizer.criterions.n_layer_discriminator.NLayerDiscriminator
@@ -21,35 +21,41 @@ criterion:
   vq_loss_weight: 0.25
   discriminator_weight: 1.0
   discriminator_factor: 1.0
-  discriminator_iter_start: 2.0e4
+  discriminator_iter_start: 5e2
 
 datamodule:
-  batch_size: 6
+  batch_size: 8
+  resize: [288, 320]
 
-lr_schedulers: null
+lr_schedulers:
+  generator:
+    _target_: torch.optim.lr_scheduler.CosineAnnealingLR
+    T_max: 128
+    eta_min: 4.5e-6
+    last_epoch: -1
 
-# lr_schedulers:
-#   generator:
+    interval: epoch
+    monitor: val/loss
 #     _target_: torch.optim.lr_scheduler.OneCycleLR
 #     max_lr: 3.0e-4
 #     total_steps: null
 #     epochs: 100
-#     steps_per_epoch: 3369
+#     steps_per_epoch: 2496
 #     pct_start: 0.1
 #     anneal_strategy: cos
 #     cycle_momentum: true
 #     base_momentum: 0.85
 #     max_momentum: 0.95
-#     div_factor: 1.0e3
+#     div_factor: 25
 #     final_div_factor: 1.0e4
 #     three_phase: true
 #     last_epoch: -1
 #     verbose: false
-# 
+
 #     # Non-class arguments
 #     interval: step
 #     monitor: val/loss
-# 
+ 
 #   discriminator:
 #     _target_: torch.optim.lr_scheduler.CosineAnnealingLR
 #     T_max: 64
@@ -79,7 +85,7 @@ optimizers:
     parameters: loss_fn.discriminator
 
 trainer:
-  max_epochs: 64
-  # gradient_clip_val: 1.0e1
-
-summary: null
+  max_epochs: 128
+  limit_train_batches: 0.1
+  limit_val_batches: 0.1
+  # gradient_clip_val: 100
diff --git a/training/conf/experiment/vqvae.yaml b/training/conf/experiment/vqvae.yaml
index d3db471..d9fa2c4 100644
--- a/training/conf/experiment/vqvae.yaml
+++ b/training/conf/experiment/vqvae.yaml
@@ -2,26 +2,52 @@
 
 defaults:
   - override /network: vqvae
-  - override /criterion: mae
+  - override /criterion: mse
   - override /model: lit_vqvae
   - override /callbacks: wandb_vae
-  - override /lr_schedulers: 
-      - cosine_annealing
+  - override /optimizers: null
+  # - override /lr_schedulers: 
+      # - cosine_annealing
+
+# lr_schedulers: null
+#   network:
+#     _target_: torch.optim.lr_scheduler.OneCycleLR
+#     max_lr: 1.0e-2
+#     total_steps: null
+#     epochs: 100
+#     steps_per_epoch: 200
+#     pct_start: 0.1
+#     anneal_strategy: cos
+#     cycle_momentum: true
+#     base_momentum: 0.85
+#     max_momentum: 0.95
+#     div_factor: 25
+#     final_div_factor: 1.0e4
+#     three_phase: true
+#     last_epoch: -1
+#     verbose: false
+
+#     # Non-class arguments
+#     interval: step
+#     monitor: val/loss
 
 optimizers:
   network:
     _target_: madgrad.MADGRAD
-    lr: 3.0e-4
+    lr: 1.0e-4
     momentum: 0.9
     weight_decay: 0
-    eps: 1.0e-6
+    eps: 1.0e-7
 
     parameters: network
 
 trainer:
-  max_epochs: 256
+  max_epochs: 128
+  limit_train_batches: 0.01
+  limit_val_batches: 0.1
 
 datamodule:
   batch_size: 8
+  # resize: [288, 320]
 
 summary: null