class_docstr: Padding of an array.
class_docstr_tok: ["Padding","of","an","array","."]
code: def check_type_forward(self, in_types):
      # Depending on the arguments, pad_width and keywords, the input value
      # may be inappropriate. In that case, numpy.pad or cupy.pad will raise
      # errors, so that only check the size and the dtype in this function.
      type_check._argname(in_types, ("x",))
      x_type = in_types[0]
      type_check.expect(x_type.dtype.kind == "f")
  
file_path: chainer/chainer/functions/array/pad.py
imports: import numpy
  from chainer import backend
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the Pad obj's underlying member method code with example usage: obj.check_type_forward(in_types) without return types