code: def testConj(self):
      if not self._gpu_available:
          return
  
      sparsify = lambda m: m * (m.real > 0)
      dense_shape = [5, 7, 13]
      a_mats = sparsify(
          (
              np.random.randn(*dense_shape)
              + 1.0j * np.random.randn(*dense_shape)
          ).astype(np.complex64)
      )
      a_sm = sparse_csr_matrix_ops.CSRSparseMatrix(a_mats)
      a_sm_conj = a_sm.conj()
      self.assertIsInstance(
          a_sm_conj, sparse_csr_matrix_ops.CSRSparseMatrix
      )
      a_sm_conj_dense = a_sm_conj.to_dense()
      a_sm_conj_dense = self.evaluate(a_sm_conj_dense)
      self.assertAllClose(a_mats.conj(), a_sm_conj_dense)
  
imports: import itertools
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the CSRSparseMatrixTest obj's underlying member method code with example usage: obj.testConj() without return types