1 files changed, 0 insertions, 55 deletions
diff --git a/text_recognizer/networks/text_decoder.py b/text_recognizer/networks/text_decoder.py
deleted file mode 100644
index 500bcf9..0000000
--- a/text_recognizer/networks/text_decoder.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""Text decoder."""
-import torch
-from torch import Tensor, nn
-
-from text_recognizer.networks.transformer.decoder import Decoder
-
-
-class TextDecoder(nn.Module):
-    """Decodes images to token logits."""
-
-    def __init__(
-        self,
-        dim: int,
-        num_classes: int,
-        pad_index: Tensor,
-        decoder: Decoder,
-    ) -> None:
-        super().__init__()
-        self.dim = dim
-        self.num_classes = num_classes
-        self.pad_index = pad_index
-        self.decoder = decoder
-        self.token_embedding = nn.Embedding(
-            num_embeddings=self.num_classes, embedding_dim=self.dim
-        )
-        self.to_logits = nn.Linear(in_features=self.dim, out_features=self.num_classes)
-
-    def forward(self, tokens: Tensor, img_features: Tensor) -> Tensor:
-        """Decodes latent images embedding into logit tokens.
-
-        Args:
-            tokens (Tensor): Token indecies.
-            img_features (Tensor): Latent images embedding.
-
-        Shapes:
-            - tokens: :math: `(B, Sy)`
-            - img_features: :math: `(B, Sx, D)`
-            - logits: :math: `(B, Sy, C)`
-
-            where Sy is the length of the output, C is the number of classes
-            and D is the hidden dimension.
-
-        Returns:
-            Tensor: Sequence of logits.
-        """
-        tokens = tokens.long()
-        mask = tokens != self.pad_index
-        tokens = self.token_embedding(tokens)
-        tokens = self.decoder(x=tokens, context=img_features, mask=mask)
-        logits = (
-            tokens @ torch.transpose(self.token_embedding.weight.to(tokens.dtype), 0, 1)
-        ).float()
-        logits = self.to_logits(tokens)  # [B, Sy, C]
-        logits = logits.permute(0, 2, 1)  # [B, C, Sy]
-        return logits