code: def forward(self):
      a = torch.tensor(0)
      b = torch.tensor(1)
      return len(
          torch.allclose(a, b),
          torch.argsort(a),
          torch.eq(a, b),
          torch.eq(a, 1),
          torch.equal(a, b),
          torch.ge(a, b),
          torch.ge(a, 1),
          torch.greater_equal(a, b),
          torch.greater_equal(a, 1),
          torch.gt(a, b),
          torch.gt(a, 1),
          torch.greater(a, b),
          torch.isclose(a, b),
          torch.isfinite(a),
          torch.isin(a, b),
          torch.isinf(a),
          torch.isposinf(a),
          torch.isneginf(a),
          torch.isnan(a),
          torch.isreal(a),
          torch.kthvalue(a, 1),
          torch.le(a, b),
          torch.le(a, 1),
          torch.less_equal(a, b),
          torch.lt(a, b),
          torch.lt(a, 1),
          torch.less(a, b),
          torch.maximum(a, b),
          torch.minimum(a, b),
          torch.fmax(a, b),
          torch.fmin(a, b),
          torch.ne(a, b),
          torch.ne(a, 1),
          torch.not_equal(a, b),
          torch.sort(a),
          torch.topk(a, 1),
          torch.msort(a),
      )
  
imports: import math
  import torch
label_desc: Use image node_id 1 for calling the ComparisonOpsModule obj's underlying member method code with example usage: obj.forward() and returns: len