text: dtype=torch.float32)\ny_pred = model(x_test)\ny_pred.item()'} because the `arguments` is not valid JSON.Invalid or incomplete response    Invoking: `Python_REPL` with `import torch    import torch.nn as nn    import torch.optim as optim        # Define the neural network    class SingleNeuron(nn.Module):        def __init__(self):            super(SingleNeuron, self).__init__()            self.linear = nn.Linear(1, 1)                    def forward(self, x):            return self.linear(x)        # Create the synthetic data    x_train = torch.tensor([[1.0], [2.0], [3.0], [4.0]], dtype=torch.float32)    y_train = torch.tensor([[2.0], [4.0], [6.0], [8.0]], dtype=torch.float32)        # Create the neural network    model = SingleNeuron()        # Define the loss function and optimizer    criterion = nn.MSELoss()    optimizer = optim.SGD(model.parameters(), lr=0.01)        # Train the neural network    for epoch in range(1, 1001):        # Forward pass        y_pred = model(x_train)                # Compute loss        loss =