Update perceiver conf

3 files changed, 92 insertions, 9 deletions

diff --git a/training/conf/experiment/conv_perceiver_lines.yaml b/training/conf/experiment/conv_perceiver_lines.yaml
new file mode 100644
index 0000000..26fe232
--- /dev/null
+++ b/training/conf/experiment/conv_perceiver_lines.yaml
@@ -0,0 +1,76 @@
+# @package _global_
+
+defaults:
+  - override /criterion: cross_entropy
+  - override /callbacks: htr
+  - override /datamodule: iam_lines
+  - override /network: conv_perceiver
+  - override /model: lit_perceiver
+  - override /lr_scheduler: null
+  - override /optimizer: null
+
+tags: [lines, perceiver]
+epochs: &epochs 260
+ignore_index: &ignore_index 3
+num_classes: &num_classes 57
+max_output_len: &max_output_len 89
+summary: [[1, 1, 56, 1024]]
+
+logger:
+  wandb:
+    tags: ${tags}
+
+criterion:
+  ignore_index: *ignore_index
+  # label_smoothing: 0.1
+
+callbacks:
+  stochastic_weight_averaging:
+    _target_: pytorch_lightning.callbacks.StochasticWeightAveraging
+    swa_epoch_start: 0.75
+    swa_lrs: 1.0e-5
+    annealing_epochs: 10
+    annealing_strategy: cos
+    device: null
+
+optimizer:
+  _target_: adan_pytorch.Adan
+  lr: 1.0e-4
+  betas: [0.02, 0.08, 0.01]
+  weight_decay: 0.02
+
+lr_scheduler:
+  _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
+  mode: min
+  factor: 0.8
+  patience: 10
+  threshold: 1.0e-4
+  threshold_mode: rel
+  cooldown: 0
+  min_lr: 1.0e-5
+  eps: 1.0e-8
+  verbose: false
+  interval: epoch
+  monitor: val/cer
+
+datamodule:
+  batch_size: 8
+  train_fraction: 0.95
+
+network:
+  input_dims: [1, 1, 56, 1024]
+  num_classes: *num_classes
+  pad_index: *ignore_index
+  encoder:
+    depth: 5
+  decoder:
+    depth: 6
+
+model:
+  max_output_len: *max_output_len
+
+trainer:
+  gradient_clip_val: 1.0
+  stochastic_weight_avg: true
+  max_epochs: *epochs
+  accumulate_grad_batches: 1
diff --git a/training/conf/network/conv_perceiver.yaml b/training/conf/network/conv_perceiver.yaml
index e6906fa..2e12db9 100644
--- a/training/conf/network/conv_perceiver.yaml
+++ b/training/conf/network/conv_perceiver.yaml
@@ -1,9 +1,10 @@
 _target_: text_recognizer.networks.ConvPerceiver
 input_dims: [1, 1, 576, 640]
-hidden_dim: &hidden_dim 144
+hidden_dim: &hidden_dim 128
 num_classes: &num_classes 58
-queries_dim: &queries_dim 16
-max_length: 89
+max_length: &max_length 89
+num_queries: *max_length
+queries_dim: &queries_dim 64
 pad_index: 3
 encoder:
   _target_: text_recognizer.networks.EfficientNet
@@ -15,16 +16,22 @@ encoder:
   out_channels: *hidden_dim
 decoder:
   _target_: text_recognizer.networks.perceiver.PerceiverIO
-  dim: *hidden_dim
+  dim: 192
   cross_heads: 1
   cross_head_dim: 64
   num_latents: 256
   latent_dim: 512
   latent_heads: 8
   depth: 6
-  queries_dim: *queries_dim
+  queries_dim: 128
   logits_dim: *num_classes
 pixel_embedding:
-  _target_: text_recognizer.networks.transformer.AxialPositionalEmbedding
-  dim: *hidden_dim
-  shape: [3, 64]
+  _target_: text_recognizer.networks.transformer.embeddings.axial.AxialPositionalEmbeddingImage
+  dim: 64
+  axial_shape: [3, 64]
+  axial_dims: [32, 32]
+query_pos_emb:
+  _target_: text_recognizer.networks.transformer.embeddings.absolute.AbsolutePositionalEmbedding
+  dim: 64
+  max_seq_len: *max_length
+  l2norm_embed: true
diff --git a/training/conf/network/conv_transformer.yaml b/training/conf/network/conv_transformer.yaml
index c4cf13e..f618ba1 100644
--- a/training/conf/network/conv_transformer.yaml
+++ b/training/conf/network/conv_transformer.yaml
@@ -1,6 +1,6 @@
 _target_: text_recognizer.networks.ConvTransformer
 input_dims: [1, 1, 576, 640]
-hidden_dim: &hidden_dim 96
+hidden_dim: &hidden_dim 144
 num_classes: 58
 pad_index: 3
 encoder: