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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2022-06-05 21:18:56 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2022-06-05 21:18:56 +0200
commit425af1bce8362efd97682a5042e76a60bfc28060 (patch)
treea06bba00f825c0f7cb69a8df2f4d424af8070ef7 /text_recognizer/networks/conformer/conv.py
parent6e1ad65edd7cbb0f8eb7a48991e9f000f554761d (diff)
Remove depth wise conv class
Diffstat (limited to 'text_recognizer/networks/conformer/conv.py')
-rw-r--r--text_recognizer/networks/conformer/conv.py13
1 files changed, 9 insertions, 4 deletions
diff --git a/text_recognizer/networks/conformer/conv.py b/text_recognizer/networks/conformer/conv.py
index f031dc7..ac13f5d 100644
--- a/text_recognizer/networks/conformer/conv.py
+++ b/text_recognizer/networks/conformer/conv.py
@@ -4,7 +4,6 @@ from einops.layers.torch import Rearrange
from torch import nn, Tensor
-from text_recognizer.networks.conformer.depth_wise_conv import DepthwiseConv1D
from text_recognizer.networks.conformer.glu import GLU
@@ -21,12 +20,18 @@ class ConformerConv(nn.Module):
self.layers = nn.Sequential(
nn.LayerNorm(dim),
Rearrange("b n c -> b c n"),
- nn.Conv1D(dim, 2 * inner_dim, 1),
+ nn.Conv1d(dim, 2 * inner_dim, 1),
GLU(dim=1),
- DepthwiseConv1D(inner_dim, inner_dim, kernel_size),
+ 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),
+ nn.Conv1d(inner_dim, dim, 1),
Rearrange("b c n -> b n c"),
nn.Dropout(dropout),
)