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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-06-05 21:16:32 +0200 |
|---|---|---|
| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-06-05 21:17:56 +0200 |
| commit | 6e1ad65edd7cbb0f8eb7a48991e9f000f554761d (patch) | |
| tree | fc6ad52d2447928a25d2298e21a9b8ec261b8d1e /text_recognizer/networks/conformer/ff.py | |
| parent | 0982e09066a3c31cb8b2fc32b5ecbc2bb64952fb (diff) | |
Rename mlp to ff
Rename mlp to ff
Diffstat (limited to 'text_recognizer/networks/conformer/ff.py')
| -rw-r--r-- | text_recognizer/networks/conformer/ff.py | 19 |
1 files changed, 19 insertions, 0 deletions
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) |