class_docstr: Test functionality of SkorchDoctor using a simple model
class_docstr_tok: ["Test","functionality","of","SkorchDoctor","using","a","simple","model"]
code: def test_gradient_recs_general_content(self, doctor):
      recs = doctor.gradient_recs_
      assert set(recs.keys()) == {"module", "criterion"}
  
      # nothing recorded for criterion, 3 epochs
      assert recs["criterion"] == []
  
      recs_module = recs["module"]
      # 3 epochs, 2 batches per epoch
      assert len(recs_module) == 6
  
      # each batch has weights and biases for lin0 & lin1
      expected = {
          "lin0.weight",
          "lin0.bias",
          "lin1.weight",
          "lin1.bias",
      }
      for batch in recs_module:
          assert set(batch.keys()) == expected
  
imports: import itertools
  from unittest import mock
  import numpy
  import pytest
  import torch
  from torch import nn
label_desc: Use image node_id 10 for calling the TestSkorchDoctorSimple obj's underlying member method code with example usage: obj.test_gradient_recs_general_content(doctor) without return types