1 files changed, 0 insertions, 40 deletions
diff --git a/text_recognizer/networks/conformer/conv.py b/text_recognizer/networks/conformer/conv.py
deleted file mode 100644
index ac13f5d..0000000
--- a/text_recognizer/networks/conformer/conv.py
+++ /dev/null
@@ -1,40 +0,0 @@
-"""Conformer convolutional block."""
-from einops import rearrange
-from einops.layers.torch import Rearrange
-from torch import nn, Tensor
-
-
-from text_recognizer.networks.conformer.glu import GLU
-
-
-class ConformerConv(nn.Module):
-    def __init__(
-        self,
-        dim: int,
-        expansion_factor: int = 2,
-        kernel_size: int = 31,
-        dropout: int = 0.0,
-    ) -> None:
-        super().__init__()
-        inner_dim = expansion_factor * dim
-        self.layers = nn.Sequential(
-            nn.LayerNorm(dim),
-            Rearrange("b n c -> b c n"),
-            nn.Conv1d(dim, 2 * inner_dim, 1),
-            GLU(dim=1),
-            nn.Conv1d(
-                in_channels=inner_dim,
-                out_channels=inner_dim,
-                kernel_size=kernel_size,
-                groups=inner_dim,
-                padding="same",
-            ),
-            nn.BatchNorm1d(inner_dim),
-            nn.Mish(inplace=True),
-            nn.Conv1d(inner_dim, dim, 1),
-            Rearrange("b c n -> b n c"),
-            nn.Dropout(dropout),
-        )
-
-    def forward(self, x: Tensor) -> Tensor:
-        return self.layers(x)