1 files changed, 0 insertions, 59 deletions
diff --git a/training/conf/network/conv_transformer.yaml b/training/conf/network/conv_transformer.yaml
deleted file mode 100644
index 1e03946..0000000
--- a/training/conf/network/conv_transformer.yaml
+++ /dev/null
@@ -1,59 +0,0 @@
-_target_: text_recognizer.network.ConvTransformer
-encoder:
-  _target_: text_recognizer.network.image_encoder.ImageEncoder
-  encoder:
-    _target_: text_recognizer.network.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.network.transformer.embeddings.axial.\
-      AxialPositionalEmbeddingImage"
-    dim: &hidden_dim 128
-    axial_shape: [7, 128]
-    axial_dims: [64, 64]
-decoder:
-  _target_: text_recognizer.network.text_decoder.TextDecoder
-  hidden_dim: *hidden_dim
-  num_classes: 58
-  pad_index: 3
-  decoder:
-    _target_: text_recognizer.network.transformer.Decoder
-    dim: *hidden_dim
-    depth: 10
-    block:
-      _target_: text_recognizer.network.transformer.decoder_block.DecoderBlock
-      self_attn:
-        _target_: text_recognizer.network.transformer.Attention
-        dim: *hidden_dim
-        num_heads: 12
-        dim_head: 64
-        dropout_rate: &dropout_rate 0.2
-        causal: true
-      cross_attn:
-        _target_: text_recognizer.network.transformer.Attention
-        dim: *hidden_dim
-        num_heads: 12
-        dim_head: 64
-        dropout_rate: *dropout_rate
-        causal: false
-      norm:
-        _target_: text_recognizer.network.transformer.RMSNorm
-        dim: *hidden_dim
-      ff:
-        _target_: text_recognizer.network.transformer.FeedForward
-        dim: *hidden_dim
-        dim_out: null
-        expansion_factor: 2
-        glu: true
-        dropout_rate: *dropout_rate
-    rotary_embedding:
-      _target_: text_recognizer.network.transformer.RotaryEmbedding
-      dim: 64
-  token_pos_embedding:
-    _target_: "text_recognizer.network.transformer.embeddings.fourier.\
-      PositionalEncoding"
-    dim: *hidden_dim
-    dropout_rate: 0.1
-    max_len: 89