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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-10-27 22:27:24 +0200
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-10-27 22:27:24 +0200
commit9a8044f4a3826a119416665741b709cd686fca87 (patch)
treee339593bb4e3858fa9379d14752dc52bf5949825 /text_recognizer/networks/barlow_twins/network.py
parentae8bfa62f0e02bd70c27bc1e71697249a5a79e7e (diff)
Remove Barlow Twins
Diffstat (limited to 'text_recognizer/networks/barlow_twins/network.py')
-rw-r--r--text_recognizer/networks/barlow_twins/network.py18
1 files changed, 0 insertions, 18 deletions
diff --git a/text_recognizer/networks/barlow_twins/network.py b/text_recognizer/networks/barlow_twins/network.py
deleted file mode 100644
index a3e3750..0000000
--- a/text_recognizer/networks/barlow_twins/network.py
+++ /dev/null
@@ -1,18 +0,0 @@
-"""Barlow Twins network."""
-from typing import Type
-
-from torch import nn, Tensor
-import torch.nn.functional as F
-
-
-class BarlowTwins(nn.Module):
- def __init__(self, encoder: Type[nn.Module], projector: Type[nn.Module]) -> None:
- super().__init__()
- self.encoder = encoder
- self.projector = projector
-
- def forward(self, x: Tensor) -> Tensor:
- z = self.encoder(x)
- z_e = F.adaptive_avg_pool2d(z, (1, 1)).flatten(start_dim=1)
- z_p = self.projector(z_e)
- return z_p