class_docstr: A mock model returning fixed scores.
  
  .. math ::
      score(h, r, t) = h \cdot |\mathcal{E}| \cdot |\mathcal{R}| + r \cdot |\mathcal{E}| + t
  
  ---
  name: Fixed Model
  citation:
      author: Berrendorf
      year: 2021
      link: https://github.com/pykeen/pykeen/pull/691
      github: pykeen/pykeen
docstr: Generate fake scores.
docstr_tok: ["Generate","fake","scores","."]
code: def _generate_fake_scores(
      self,
      h: torch.FloatTensor,
      r: torch.FloatTensor,
      t: torch.FloatTensor,
  ) -> torch.FloatTensor:
      """Generate fake scores."""
      return (
          (
              h * (self.num_entities * self.num_relations)
              + r * self.num_entities
              + t
          )
          .float()
          .requires_grad_(True)
      )
  
file_path: pykeen/src/pykeen/models/mocks.py
imports: from typing import Any, ClassVar, Mapping, Optional
  import torch
  from .base import Model
  from ..triples.triples_factory import KGInfo
  from ..typing import InductiveMode
label_desc: Use image node_id 5 for calling the FixedModel obj's underlying member method code with example usage: obj._generate_fake_scores(h, r, t) and returns: unknown