code: def setup(self):
      if len(self.in_dtypes) == 3:
          x_dtype, w_dtype, b_dtype = self.in_dtypes
      else:
          (x_dtype, w_dtype), b_dtype = self.in_dtypes, None
  
      x_kind = numpy.dtype(x_dtype).kind
      w_kind = numpy.dtype(w_dtype).kind
      b_kind = None if b_dtype is None else numpy.dtype(b_dtype).kind
  
      device = chainerx.get_default_device()
      if device.backend.name == "cuda" and (
          x_kind != "f" or w_kind != "f" or b_kind != "f"
      ):
          raise unittest.SkipTest("CUDA dot does not support integers.")
  
      # Skip backward/double-backward tests for int dtypes
      if (
          x_kind != "f"
          and w_kind != "f"
          and (b_kind is None or b_kind != "f")
      ):
          self.skip_backward_test = True
          self.skip_double_backward_test = True
  
      # Skip backward/double-backward tests if the output will be
      # disconnected.
      # TODO(niboshi): Remove this skip condition after enabling backward()
      # for such cases.
      if 0 in self.x_shape or 0 in self.w_shape:
          self.skip_backward_test = True
          self.skip_double_backward_test = True
  
      if (
          x_dtype == "float16"
          or w_dtype == "float16"
          or b_dtype == "float16"
      ):
          self.check_forward_options.update(
              {"rtol": 1e-2, "atol": 1e-2}
          )
          self.check_backward_options.update(
              {"rtol": 1e-2, "atol": 1e-2}
          )
          self.check_double_backward_options.update(
              {"rtol": 1e-2, "atol": 1e-2}
          )
  
imports: import unittest
  import chainer
  from chainer import functions
  import numpy
  import pytest
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 1 for calling the TestLinear obj's underlying member method code with example usage: obj.setup() without return types