code: def __call__(self, x):
      if self.prenorm:
          x = x + self.attn(x.layernorm().linear(*self.ln1)).dropout(
              self.dropout
          )
          x = x + self.act(
              x.layernorm().linear(*self.ln2).linear(*self.ff1)
          ).linear(*self.ff2).dropout(self.dropout)
      else:
          x = x + self.attn(x).dropout(self.dropout)
          x = x.layernorm().linear(*self.ln1)
          x = x + self.act(x.linear(*self.ff1)).linear(
              *self.ff2
          ).dropout(self.dropout)
          x = x.layernorm().linear(*self.ln2)
      return x
  
imports: from tinygrad import Tensor
label_desc: Use image node_id 3 for calling the TransformerBlock obj's underlying member method code with example usage: obj.__call__(x) and returns: x