Linting of vqgan loss

1 files changed, 5 insertions, 5 deletions

diff --git a/text_recognizer/criterions/vqgan_loss.py b/text_recognizer/criterions/vqgan_loss.py
index cfd507d..7af1a55 100644
--- a/text_recognizer/criterions/vqgan_loss.py
+++ b/text_recognizer/criterions/vqgan_loss.py
@@ -1,6 +1,5 @@
 """VQGAN loss for PyTorch Lightning."""
-from typing import Dict, Optional
-from click.types import Tuple
+from typing import Optional, Tuple
 
 import torch
 from torch import nn, Tensor
@@ -9,9 +8,10 @@ import torch.nn.functional as F
 from text_recognizer.criterions.n_layer_discriminator import NLayerDiscriminator
 
 
-def adopt_weight(
+def _adopt_weight(
     weight: Tensor, global_step: int, threshold: int = 0, value: float = 0.0
 ) -> float:
+    """Sets weight to value after the threshold is passed."""
     if global_step < threshold:
         weight = value
     return weight
@@ -86,7 +86,7 @@ class VQGANLoss(nn.Module):
             else:
                 d_weight = torch.tensor(0.0)
 
-            d_factor = adopt_weight(
+            d_factor = _adopt_weight(
                 self.discriminator_factor,
                 global_step=global_step,
                 threshold=self.discriminator_iter_start,
@@ -107,7 +107,7 @@ class VQGANLoss(nn.Module):
             logits_fake = self.discriminator(reconstructions.contiguous().detach())
             logits_real = self.discriminator(data.contiguous().detach())
 
-            d_factor = adopt_weight(
+            d_factor = _adopt_weight(
                 self.discriminator_factor,
                 global_step=global_step,
                 threshold=self.discriminator_iter_start,