import torch
import torch.nn as nn
import torch.nn.functional as F

class ContinuousPolicyNetwork(nn.Module):
    def __init__(self, input_dim, output_dim):
        super(ContinuousPolicyNetwork, self).__init__()
        self.fc1 = nn.Linear(input_dim, 128)
        self.fc2 = nn.Linear(128, 128)
        self.mean = nn.Linear(128, output_dim)
        self.log_std = nn.Linear(128, output_dim)

    def forward(self, x):
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        mean = self.mean(x)
        log_std = self.log_std(x)
        std = torch.exp(log_std)
        return mean, std