From bace9540792d517c1687d91f455f9503d9854609 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Fri, 30 Sep 2022 00:35:34 +0200
Subject: Update conv transformer model

---
 training/conf/network/conv_transformer.yaml | 109 ++++++++++++++--------------
 1 file changed, 56 insertions(+), 53 deletions(-)

(limited to 'training/conf/network')

diff --git a/training/conf/network/conv_transformer.yaml b/training/conf/network/conv_transformer.yaml
index 0ef862f..016adbb 100644
--- a/training/conf/network/conv_transformer.yaml
+++ b/training/conf/network/conv_transformer.yaml
@@ -1,56 +1,59 @@
 _target_: text_recognizer.networks.ConvTransformer
-input_dims: [1, 1, 576, 640]
-hidden_dim: &hidden_dim 128
-num_classes: 58
-pad_index: 3
 encoder:
-  _target_: text_recognizer.networks.convnext.ConvNext
-  dim: 16
-  dim_mults: [2, 4, 8]
-  depths: [3, 3, 6]
-  downsampling_factors: [[2, 2], [2, 2], [2, 2]]
+  _target_: text_recognizer.networks.image_encoder.ImageEncoder
+  encoder:
+    _target_: text_recognizer.networks.convnext.ConvNext
+    dim: 16
+    dim_mults: [2, 4, 8]
+    depths: [3, 3, 6]
+    downsampling_factors: [[2, 2], [2, 2], [2, 2]]
+  pixel_embedding:
+    _target_: "text_recognizer.networks.transformer.embeddings.axial.\
+      AxialPositionalEmbeddingImage"
+    dim: &hidden_dim 128
+    axial_shape: [7, 128]
+    axial_dims: [64, 64]
 decoder:
-  _target_: text_recognizer.networks.transformer.Decoder
-  dim: *hidden_dim
-  depth: 10
-  block:
-    _target_: text_recognizer.networks.transformer.decoder_block.DecoderBlock
-    self_attn:
-      _target_: text_recognizer.networks.transformer.Attention
-      dim: *hidden_dim
-      num_heads: 12
-      dim_head: 64
-      dropout_rate: &dropout_rate 0.2
-      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: 12
-      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.embeddings.axial.\
-    AxialPositionalEmbeddingImage"
-  dim: *hidden_dim
-  axial_shape: [7, 128]
-  axial_dims: [64, 64]
-token_pos_embedding:
-  _target_: "text_recognizer.networks.transformer.embeddings.fourier.\
-    PositionalEncoding"
-  dim: *hidden_dim
-  dropout_rate: 0.1
-  max_len: 89
+  _target_: text_recognizer.networks.text_decoder.TextDecoder
+  hidden_dim: *hidden_dim
+  num_classes: 58
+  pad_index: 3
+  decoder:
+    _target_: text_recognizer.networks.transformer.Decoder
+    dim: *hidden_dim
+    depth: 10
+    block:
+      _target_: text_recognizer.networks.transformer.decoder_block.DecoderBlock
+      self_attn:
+        _target_: text_recognizer.networks.transformer.Attention
+        dim: *hidden_dim
+        num_heads: 12
+        dim_head: 64
+        dropout_rate: &dropout_rate 0.2
+        causal: true
+      cross_attn:
+        _target_: text_recognizer.networks.transformer.Attention
+        dim: *hidden_dim
+        num_heads: 12
+        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
+    rotary_embedding:
+      _target_: text_recognizer.networks.transformer.RotaryEmbedding
+      dim: 64
+  token_pos_embedding:
+    _target_: "text_recognizer.networks.transformer.embeddings.fourier.\
+      PositionalEncoding"
+    dim: *hidden_dim
+    dropout_rate: 0.1
+    max_len: 89
-- 
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