Fix VQVAE into en/decoder, bug in wandb artifact code uploading

1 files changed, 4 insertions, 3 deletions

diff --git a/text_recognizer/networks/vqvae/attention.py b/text_recognizer/networks/vqvae/attention.py
index 5a6b3ce..78a2cc9 100644
--- a/text_recognizer/networks/vqvae/attention.py
+++ b/text_recognizer/networks/vqvae/attention.py
@@ -7,7 +7,7 @@ import torch.nn.functional as F
 from text_recognizer.networks.vqvae.norm import Normalize
 
 
-@attr.s
+@attr.s(eq=False)
 class Attention(nn.Module):
     """Convolutional attention."""
 
@@ -63,11 +63,12 @@ class Attention(nn.Module):
         B, C, H, W = q.shape
         q = q.reshape(B, C, H * W).permute(0, 2, 1)  # [B, HW, C]
         k = k.reshape(B, C, H * W)  # [B, C, HW]
-        energy = torch.bmm(q, k) * (C ** -0.5)
+        energy = torch.bmm(q, k) * (int(C) ** -0.5)
         attention = F.softmax(energy, dim=2)
 
         # Compute attention to which values
-        v = v.reshape(B, C, H * W).permute(0, 2, 1)  # [B, HW, C]
+        v = v.reshape(B, C, H * W)
+        attention = attention.permute(0, 2, 1)  # [B, HW, HW]
         out = torch.bmm(v, attention)
         out = out.reshape(B, C, H, W)
         out = self.proj(out)