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pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "f5-tts"
-version = "1.0.1"
+version = "1.0.2"
 description = "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
 readme = "README.md"
 license = {text = "MIT License"}

src/f5_tts/model/backbones/dit.py

@@ -219,8 +219,7 @@ class DiT(nn.Module):
 
         for block in self.transformer_blocks:
             if self.checkpoint_activations:
-                # if you have question, please check: https://pytorch.org/docs/stable/checkpoint.html#torch.utils.checkpoint.checkpoint
-                # After PyTorch 2.4, we must pass the use_reentrant explicitly
+                # https://pytorch.org/docs/stable/checkpoint.html#torch.utils.checkpoint.checkpoint
                 x = torch.utils.checkpoint.checkpoint(self.ckpt_wrapper(block), x, t, mask, rope, use_reentrant=False)
             else:
                 x = block(x, t, mask=mask, rope=rope)