Delete latent_Recurrent.py

latent_Recurrent.py

@@ -1,22 +0,0 @@
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from typing import Optional, Tuple
-from prelude_Block import PreludeBlock
-from recurrent_Block import RecurrentBlock
-from codaBlock import CodaBlock
-
-# Full Latent Recurrent Depth Model
-class LatentRecurrentDepthLM(nn.Module):
-    def __init__(self, vocab_size: int, d_model: int, num_heads: int, dropout: float = 0.1):
-        super().__init__()
-        self.prelude = PreludeBlock(vocab_size, d_model, num_heads, dropout)
-        self.recurrent = RecurrentBlock(d_model, num_heads, dropout)
-        self.coda = CodaBlock(d_model, vocab_size)
-
-    def forward(self, x: torch.Tensor, num_iterations: int, mask: Optional[torch.Tensor] = None) -> torch.Tensor:
-        hidden = self.prelude(x, mask)
-        recurrent_state = torch.zeros_like(hidden)
-        for _ in range(num_iterations):
-            hidden, recurrent_state = self.recurrent(hidden, recurrent_state, mask)
-        return self.coda(hidden)