Copy the files in the new repo for public release

pocket_tts/modules/dummy_quantizer.py

@@ -0,0 +1,18 @@
+import torch
+from torch import nn
+
+
+class DummyQuantizer(nn.Module):
+    """Simplified quantizer that only provides output projection for TTS.
+
+    This removes all unnecessary quantization logic since we don't use actual quantization.
+    """
+
+    def __init__(self, dimension: int, output_dimension: int):
+        super().__init__()
+        self.dimension = dimension
+        self.output_dimension = output_dimension
+        self.output_proj = torch.nn.Conv1d(self.dimension, self.output_dimension, 1, bias=False)
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        return self.output_proj(x)