code: def test_DNSP_sparse_matmul_forward_cpu(self):
      if not _scipy_available:
          return
      if self.a_dtype == numpy.float16 or self.b_dtype == numpy.float16:
          self.check_DNSP_forward(self.a, self.b, atol=1e-3, rtol=1e-3)
      else:
          self.check_DNSP_forward(self.a, self.b)
  
imports: import unittest
  import numpy
  import chainer
  from chainer import cuda
  import chainer.functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 14 for calling the TestCooMatMul obj's underlying member method code with example usage: obj.test_DNSP_sparse_matmul_forward_cpu() without return types