1 files changed, 0 insertions, 49 deletions
diff --git a/text_recognizer/networks/conv_transformer.py b/text_recognizer/networks/conv_transformer.py
deleted file mode 100644
index d36162a..0000000
--- a/text_recognizer/networks/conv_transformer.py
+++ /dev/null
@@ -1,49 +0,0 @@
-"""Base network module."""
-from typing import Type
-
-from torch import Tensor, nn
-
-from text_recognizer.networks.transformer.decoder import Decoder
-
-
-class ConvTransformer(nn.Module):
-    """Base transformer network."""
-
-    def __init__(
-        self,
-        encoder: Type[nn.Module],
-        decoder: Decoder,
-    ) -> None:
-        super().__init__()
-        self.encoder = encoder
-        self.decoder = decoder
-
-    def encode(self, img: Tensor) -> Tensor:
-        """Encodes images to latent representation."""
-        return self.encoder(img)
-
-    def decode(self, tokens: Tensor, img_features: Tensor) -> Tensor:
-        """Decodes latent images embedding into characters."""
-        return self.decoder(tokens, img_features)
-
-    def forward(self, img: Tensor, tokens: Tensor) -> Tensor:
-        """Encodes images into token logtis.
-
-        Args:
-            img (Tensor): Input image(s).
-            tokens (Tensor): token embeddings.
-
-        Shapes:
-            - img: :math: `(B, 1, H, W)`
-            - tokens: :math: `(B, Sy)`
-            - logits: :math: `(B, Sy, C)`
-
-            where B is the batch size, H is the image height, W is the image
-            width, Sy the output length, and C is the number of classes.
-
-        Returns:
-            Tensor: Sequence of logits.
-        """
-        img_features = self.encode(img)
-        logits = self.decode(tokens, img_features)
-        return logits