(to'liq kod quyidagicha: ``` import numpy as np import torch import torch.nn as nn import torch.optim as optim class MLP: def __init__(self, input_size, hidden_size, output_size): super(MLP, self).__init__(() self.fc1 = nn.Linear, hidden_size, input_size, output_size) self.fc2 = nn.Linear, hidden_size, output_size) def forward, x x): torch.relu, optimum, x x)) x) torch.softmax, x) self.fc2 (dim-1), def return, x) ppo_loss, clip, advantage, entropy, c) self_loss, self_min, input_size, hidden_size, output_size, output_size, output
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence