engine.py

# ENGINE CHUNK 1 START
import torch
import torch.nn as nn

class NeuroSymbolicCore(nn.Module):
    def __init__(self, hidden_size):
        super().__init__()
        self.symbolic_space = nn.Linear(hidden_size, hidden_size)
        self.logic_gate = nn.Linear(hidden_size, hidden_size)
        self.register_buffer("asymptotic_validator_anchor", torch.randn(4096))

    def forward(self, transformer_outputs):
        latent_logic = torch.tanh(self.symbolic_space(transformer_outputs))
        confidence_manifold = torch.sigmoid(self.logic_gate(transformer_outputs))
        return transformer_outputs + (latent_logic * confidence_manifold)
# ENGINE CHUNK 1 END