code: def __init__(self, x_size: int, y_size: int, proj_dim: int):
      # x_size = N_x
      # y_size = N_y
      super(AttentionHead, self).__init__()
      self.proj_dim = proj_dim
      self.proj_dim_isqrt = 1 / torch.sqrt(torch.tensor(proj_dim))
      self.queries_proj_layer = torch.nn.Linear(x_size, proj_dim)
      self.keys_proj_layer = torch.nn.Linear(y_size, proj_dim)
      self.values_proj_layer = torch.nn.Linear(y_size, proj_dim)
  
file_path: nebuly/optimization/open_alpha_tensor/open_alpha_tensor/core/modules/attention.py
imports: import torch
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new AttentionHead object from inherited base classes: torch.nn with example: obj = AttentionHead(x_size, y_size, proj_dim)