1 files changed, 0 insertions, 42 deletions
diff --git a/text_recognizer/networks/vqvae/vqvae.py b/text_recognizer/networks/vqvae/vqvae.py
deleted file mode 100644
index 5560e12..0000000
--- a/text_recognizer/networks/vqvae/vqvae.py
+++ /dev/null
@@ -1,42 +0,0 @@
-"""The VQ-VAE."""
-from typing import Tuple
-
-from torch import nn
-from torch import Tensor
-
-from text_recognizer.networks.quantizer.quantizer import VectorQuantizer
-
-
-class VQVAE(nn.Module):
-    """Vector Quantized Variational AutoEncoder."""
-
-    def __init__(
-        self,
-        encoder: nn.Module,
-        decoder: nn.Module,
-        quantizer: VectorQuantizer,
-    ) -> None:
-        super().__init__()
-        self.encoder = encoder
-        self.decoder = decoder
-        self.quantizer = quantizer
-
-    def encode(self, x: Tensor) -> Tensor:
-        """Encodes input to a latent code."""
-        return self.encoder(x)
-
-    def quantize(self, z_e: Tensor) -> Tuple[Tensor, Tensor]:
-        """Quantizes the encoded latent vectors."""
-        z_q, _, commitment_loss = self.quantizer(z_e)
-        return z_q, commitment_loss
-
-    def decode(self, z_q: Tensor) -> Tensor:
-        """Reconstructs input from latent codes."""
-        return self.decoder(z_q)
-
-    def forward(self, x: Tensor) -> Tuple[Tensor, Tensor]:
-        """Compresses and decompresses input."""
-        z_e = self.encode(x)
-        z_q, commitment_loss = self.quantize(z_e)
-        x_hat = self.decode(z_q)
-        return x_hat, commitment_loss