1 files changed, 49 insertions, 11 deletions
diff --git a/training/conf/network/conv_transformer.yaml b/training/conf/network/conv_transformer.yaml
index 1d61129..54eb028 100644
--- a/training/conf/network/conv_transformer.yaml
+++ b/training/conf/network/conv_transformer.yaml
@@ -1,11 +1,49 @@
-defaults:
-  - encoder: efficientnet
-  - decoder: transformer_decoder
-
-_target_: text_recognizer.networks.conv_transformer.ConvTransformer
-input_dims: [1, 576, 640]
-hidden_dim: 128
-encoder_dim: 1280
-dropout_rate: 0.2
-num_classes: 1006
-pad_index: 1002
+_target_: text_recognizer.networks.ConvTransformer
+input_dims: [1, 1, 576, 640]
+hidden_dim: &hidden_dim 144
+num_classes: 58
+pad_index: 3
+encoder:
+  _target_: text_recognizer.networks.EfficientNet
+  arch: b0
+  stochastic_dropout_rate: 0.2
+  bn_momentum: 0.99
+  bn_eps: 1.0e-3
+  depth: 3
+  out_channels: 128
+decoder:
+  _target_: text_recognizer.networks.transformer.Decoder
+  depth: 6
+  block:
+    _target_: text_recognizer.networks.transformer.DecoderBlock
+    self_attn:
+      _target_: text_recognizer.networks.transformer.Attention
+      dim: *hidden_dim
+      num_heads: 8
+      dim_head: 64
+      dropout_rate: &dropout_rate 0.4
+      causal: true
+      rotary_embedding:
+        _target_: text_recognizer.networks.transformer.RotaryEmbedding
+        dim: 64
+    cross_attn:
+      _target_: text_recognizer.networks.transformer.Attention
+      dim: *hidden_dim
+      num_heads: 8
+      dim_head: 64
+      dropout_rate: *dropout_rate
+      causal: false
+    norm:
+      _target_: text_recognizer.networks.transformer.RMSNorm
+      dim: *hidden_dim
+    ff:
+      _target_: text_recognizer.networks.transformer.FeedForward
+      dim: *hidden_dim
+      dim_out: null
+      expansion_factor: 2
+      glu: true
+      dropout_rate: *dropout_rate
+pixel_embedding:
+  _target_: text_recognizer.networks.transformer.AxialPositionalEmbedding
+  dim: *hidden_dim
+  shape: [72, 80]