code: def _eval_forward(self, x: torch.Tensor, s: torch.Tensor):
      e = self.torso(x, s)
      a, p, z1 = self.policy_head(e)
      q = self.value_head(z1)
      q = self.risk_value_management(q)
      return a, p, q
  
file_path: nebuly/optimization/open_alpha_tensor/open_alpha_tensor/core/modules/alpha_tensor.py
imports: import torch
  from open_alpha_tensor.core.modules.extras import QuantileLoss, ValueRiskManagement
  from open_alpha_tensor.core.modules.heads import PolicyHead, ValueHead
  from open_alpha_tensor.core.modules.torso import TorsoModel
label_desc: Use image node_id 4 for calling the AlphaTensorModel obj's underlying member method code with example usage: obj._eval_forward(x, s) and returns: a,  p,  q