class_docstr: Layer normalization
code: def check_type_forward(self, in_types):
      type_check.expect(in_types.size() == 3)
      x_type, gamma_type, beta_type = in_types
  
      type_check.expect(
          x_type.dtype.kind == "f",
          x_type.ndim == 2,
          gamma_type.ndim == 1,
          beta_type.ndim == 1,
          gamma_type.dtype == x_type.dtype,
          beta_type.dtype == x_type.dtype,
          gamma_type.shape == beta_type.shape,
      )
  
file_path: chainer/chainer/functions/normalization/layer_normalization.py
imports: from chainer import backend
  from chainer import function_node
  import chainer.functions
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the LayerNormalization obj's underlying member method code with example usage: obj.check_type_forward(in_types) without return types