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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-11-21 21:34:53 +0100
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-11-21 21:34:53 +0100
commitb44de0e11281c723ec426f8bec8ca0897ecfe3ff (patch)
tree998841a3a681d3dedfbe8470c1b8544b4dcbe7a2 /text_recognizer/networks/vqvae/norm.py
parent3b2fb0fd977a6aff4dcf88e1a0f99faac51e05b1 (diff)
Remove VQVAE stuff, did not work...
Diffstat (limited to 'text_recognizer/networks/vqvae/norm.py')
-rw-r--r--text_recognizer/networks/vqvae/norm.py24
1 files changed, 0 insertions, 24 deletions
diff --git a/text_recognizer/networks/vqvae/norm.py b/text_recognizer/networks/vqvae/norm.py
deleted file mode 100644
index d73f9f8..0000000
--- a/text_recognizer/networks/vqvae/norm.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""Normalizer block."""
-import attr
-from torch import nn, Tensor
-
-
-@attr.s(eq=False)
-class Normalize(nn.Module):
- num_channels: int = attr.ib()
- num_groups: int = attr.ib(default=32)
- norm: nn.GroupNorm = attr.ib(init=False)
-
- def __attrs_post_init__(self) -> None:
- """Post init configuration."""
- super().__init__()
- self.norm = nn.GroupNorm(
- num_groups=self.num_groups,
- num_channels=self.num_channels,
- eps=1.0e-6,
- affine=True,
- )
-
- def forward(self, x: Tensor) -> Tensor:
- """Applies group normalization."""
- return self.norm(x)