From 6e1ad65edd7cbb0f8eb7a48991e9f000f554761d Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Sun, 5 Jun 2022 21:16:32 +0200
Subject: Rename mlp to ff

Rename mlp to ff
---
 text_recognizer/networks/conformer/block.py |  4 ++--
 text_recognizer/networks/conformer/ff.py    | 19 +++++++++++++++++++
 text_recognizer/networks/conformer/mlp.py   | 17 -----------------
 3 files changed, 21 insertions(+), 19 deletions(-)
 create mode 100644 text_recognizer/networks/conformer/ff.py
 delete mode 100644 text_recognizer/networks/conformer/mlp.py

(limited to 'text_recognizer/networks')

diff --git a/text_recognizer/networks/conformer/block.py b/text_recognizer/networks/conformer/block.py
index d9782e8..4b31aec 100644
--- a/text_recognizer/networks/conformer/block.py
+++ b/text_recognizer/networks/conformer/block.py
@@ -5,7 +5,7 @@ from typing import Optional
 from torch import nn, Tensor
 from text_recognizer.networks.conformer.conv import ConformerConv
 
-from text_recognizer.networks.conformer.mlp import MLP
+from text_recognizer.networks.conformer.ff import Feedforward
 from text_recognizer.networks.conformer.scale import Scale
 from text_recognizer.networks.transformer.attention import Attention
 from text_recognizer.networks.transformer.norm import PreNorm
@@ -15,7 +15,7 @@ class ConformerBlock(nn.Module):
     def __init__(
         self,
         dim: int,
-        ff: MLP,
+        ff: Feedforward,
         attn: Attention,
         conv: ConformerConv,
     ) -> None:
diff --git a/text_recognizer/networks/conformer/ff.py b/text_recognizer/networks/conformer/ff.py
new file mode 100644
index 0000000..2ef4245
--- /dev/null
+++ b/text_recognizer/networks/conformer/ff.py
@@ -0,0 +1,19 @@
+"""Conformer feedforward block."""
+from torch import nn, Tensor
+
+
+class Feedforward(nn.Module):
+    def __init__(
+        self, dim: int, expansion_factor: int = 4, dropout: float = 0.0
+    ) -> None:
+        super().__init__()
+        self.layers = nn.Sequential(
+            nn.Linear(dim, expansion_factor * dim),
+            nn.Mish(inplace=True),
+            nn.Dropout(dropout),
+            nn.Linear(expansion_factor * dim, dim),
+            nn.Dropout(dropout),
+        )
+
+    def forward(self, x: Tensor) -> Tensor:
+        return self.layers(x)
diff --git a/text_recognizer/networks/conformer/mlp.py b/text_recognizer/networks/conformer/mlp.py
deleted file mode 100644
index 031bde9..0000000
--- a/text_recognizer/networks/conformer/mlp.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""Conformer feedforward block."""
-from torch import nn, Tensor
-
-
-class MLP(nn.Module):
-    def __init__(self, dim: int, mult: int = 4, dropout: float = 0.0) -> None:
-        super().__init__()
-        self.layers = nn.Sequential(
-            nn.Linear(dim, mult * dim),
-            nn.Mish(inplace=True),
-            nn.Dropout(dropout),
-            nn.Linear(mult * dim, dim),
-            nn.Dropout(dropout),
-        )
-
-    def forward(self, x: Tensor) -> Tensor:
-        return self.layers(x)
-- 
cgit v1.2.3-70-g09d2