code: def test_syrk_out(self, dtype):
      dtype = numpy.dtype(dtype)
      tol = self._tol[dtype.char.lower()]
      alpha, beta = 2.3, 1.7
      if dtype.char in "FD":
          alpha = alpha - 1j * 0.7
          beta = beta + 1j * 2.3
      n, k = self.nk
      a = self._make_matrix(n, k, self.transa, self.ordera, dtype)
      aa = self._trans_matrix(a, self.transa)
      m = aa.shape[0]
      c = self._make_matrix(m, m, "N", self.orderc, dtype)
      c0 = cupy.array(c)
      ref = alpha * aa.dot(aa.T) + beta * c
      cublas.syrk(
          self.transa,
          a,
          out=c,
          alpha=alpha,
          beta=beta,
          lower=self.lower,
      )
      rr, c0, cc = cupy.asnumpy(ref), cupy.asnumpy(c0), cupy.asnumpy(c)
      if self.lower:
          trii = numpy.triu_indices_from(rr, 1)
      else:
          trii = numpy.tril_indices_from(rr, -1)
      rr[trii] = c0[trii]
      rru = rr[numpy.triu_indices_from(rr)]
      ccu = cc[numpy.triu_indices_from(cc)]
      rrl = rr[numpy.tril_indices_from(rr)]
      ccl = cc[numpy.tril_indices_from(cc)]
      cupy.testing.assert_allclose(ccu, rru, rtol=tol, atol=tol)
      cupy.testing.assert_allclose(ccl, rrl, rtol=tol, atol=tol)
  
imports: import numpy
  import pytest
  import cupy
  from cupy import cublas
  from cupy import testing
label_desc: Use image node_id 4 for calling the TestSyrk obj's underlying member method code with example usage: obj.test_syrk_out(dtype) without return types