code: def check_type_forward(self, in_types):
      type_check.expect(in_types.size() == 3)
      x_type, mean_type, var_type = in_types
      type_check.expect(
          x_type.dtype.kind == "f",
          mean_type.dtype == x_type.dtype,
          var_type.dtype == x_type.dtype,
      )
      type_check.expect(
          x_type.ndim >= 2,
      )
  
imports: import numpy
  from chainer import backend
  from chainer import function_node
  from chainer.utils import argument
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the FixedDecorrelatedBatchNormalization obj's underlying member method code with example usage: obj.check_type_forward(in_types) without return types