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import torch
import torch.nn as nn
class SimpleEvoModel(nn.Module):
def __init__(self, input_dim=384, hidden_dim=256, output_dim=2, dropout=0.1):
super().__init__()
self.model = nn.Sequential(
nn.LayerNorm(input_dim),
nn.Linear(input_dim, hidden_dim),
nn.ReLU(),
nn.Dropout(dropout),
nn.Linear(hidden_dim, output_dim)
)
def forward(self, x):
return self.model(x)
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