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import torch
import torch.nn as nn
import typing
import transformers
from .config import MLPConfig
class Backbone(nn.Module):
def __init__(self, config):
super().__init__()
self.model = nn.Sequential(
nn.Linear(config.input_dim, config.hidden_dim),
nn.ReLU(),
nn.Linear(config.hidden_dim, config.hidden_dim),
nn.ReLU(),
nn.Linear(config.hidden_dim, config.output_dim)
)
def forward(self, x):
return self.model(x)
class MLP(transformers.PreTrainedModel):
"""HF-compatible model."""
config_class = MLPConfig
base_model_prefix = 'mlp'
def __init__(self, config: MLPConfig):
super().__init__(config)
self.config = config
self.backbone = Backbone(config)
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