diff --git a/TTS/vocoder/layers/hifigan.py b/TTS/vocoder/layers/hifigan.py
index c632d079..942c045d 100644
--- a/TTS/vocoder/layers/hifigan.py
+++ b/TTS/vocoder/layers/hifigan.py
@@ -1,6 +1,7 @@
 from torch import nn
 
 
+# pylint: disable=dangerous-default-value
 class ResStack(nn.Module):
     def __init__(self, kernel, channel, padding, dilations=[1, 3, 5]):
         super(ResStack, self).__init__()
@@ -40,7 +41,7 @@ class ResStack(nn.Module):
 
 
 class MRF(nn.Module):
-    def __init__(self, kernels, channel, dilations=[1, 3, 5]):
+    def __init__(self, kernels, channel, dilations=[1, 3, 5]):  # # pylint: disable=dangerous-default-value
         super().__init__()
         self.resblock1 = ResStack(kernels[0], channel, 0, dilations)
         self.resblock2 = ResStack(kernels[1], channel, 6, dilations)
diff --git a/TTS/vocoder/models/hifigan_generator.py b/TTS/vocoder/models/hifigan_generator.py
index 11d0390a..c838fb8f 100644
--- a/TTS/vocoder/models/hifigan_generator.py
+++ b/TTS/vocoder/models/hifigan_generator.py
@@ -192,7 +192,7 @@ class HifiganGenerator(torch.nn.Module):
         self.resblocks = nn.ModuleList()
         for i in range(len(self.ups)):
             ch = upsample_initial_channel // (2**(i + 1))
-            for j, (k, d) in enumerate(
+            for _, (k, d) in enumerate(
                     zip(resblock_kernel_sizes, resblock_dilation_sizes)):
                 self.resblocks.append(resblock(ch, k, d))
         # post convolution layer
diff --git a/tests/test_vocoder_gan_datasets.py b/tests/test_vocoder_gan_datasets.py
index 3c346be6..32592d49 100644
--- a/tests/test_vocoder_gan_datasets.py
+++ b/tests/test_vocoder_gan_datasets.py
@@ -74,7 +74,7 @@ def gan_dataset_case(batch_size, seq_len, hop_len, conv_pad, return_pairs, retur
                 check_item(feat2, wav2)
                 count_iter += 1
         else:
-             for item1 in loader:
+            for item1 in loader:
                 feat1, wav1 = item1
                 check_item(feat1, wav1)
                 count_iter += 1