1 files changed, 0 insertions, 29 deletions
diff --git a/text_recognizer/network/transformer/embedding/absolute.py b/text_recognizer/network/transformer/embedding/absolute.py
deleted file mode 100644
index db34157..0000000
--- a/text_recognizer/network/transformer/embedding/absolute.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from typing import Optional
-
-import torch
-from torch import nn, Tensor
-
-from .l2_norm import l2_norm
-
-
-class AbsolutePositionalEmbedding(nn.Module):
-    def __init__(self, dim: int, max_length: int, use_l2: bool = False) -> None:
-        super().__init__()
-        self.scale = dim**-0.5 if not use_l2 else 1.0
-        self.max_length = max_length
-        self.use_l2 = use_l2
-        self.to_embedding = nn.Embedding(max_length, dim)
-        if self.use_l2:
-            nn.init.normal_(self.to_embedding.weight, std=1e-5)
-
-    def forward(self, x: Tensor, pos: Optional[Tensor] = None) -> Tensor:
-        n, device = x.shape[1], x.device
-        assert (
-            n <= self.max_length
-        ), f"Sequence length {n} is greater than the maximum positional embedding {self.max_length}"
-
-        if pos is None:
-            pos = torch.arange(n, device=device)
-
-        embedding = self.to_embedding(pos) * self.scale
-        return l2_norm(embedding) if self.use_l2 else embedding