VADDPD.BCST 2032(DX), Y0, Y0 // 62f1fd385882f0070000
	// Test new Z-cases one-by-one.
	//
	// Zevex_i_r_k_rm.
	VCVTPS2PH $1, Z2, K5, Y21 // 62b37d4d1dd501
	VCVTPS2PH $2, Z21, K4, Y2 // 62e37d4c1dea02
	// Zevex_i_r_rm.
	VCVTPS2PH $1, Z2, Y21 // 62b37d481dd501
	VCVTPS2PH $2, Z21, Y2 // 62e37d481dea02
	// Zevex_i_rm_k_r.
	VFPCLASSPDX $1, X2, K5, K3   // 62f3fd0d66da01
	VFPCLASSPDX $2, X21, K4, K1  // 62b3fd0c66cd02

	// for symbols in the object file, so it is not enough to print the
	// preamble and hope the symbols we care about will be there.
	// Instead, emit
	//	__typeof__(names[i]) *__cgo__i;
	// for each entry in names and then dereference the type we
	// learn for __cgo__i.
	var b bytes.Buffer
	b.WriteString(builtinProlog)
	b.WriteString(f.Preamble)
	b.WriteString("#line 1 \"cgo-dwarf-inference\"\n")
	for i, n := range names {

  TF_DeleteTensor(tensor);
  TFE_DeleteTensorHandle(tensor_handle);

  tensorflow::AttrValue i_list_values;
  for (int i = 0; i < 4; ++i) {
    i_list_values.mutable_list()->add_i(1);
  }
  SetOpAttrValueScalar(ctx, op, i_list_values, "ksize", status);
  SetOpAttrValueScalar(ctx, op, i_list_values, "strides", status);

  tensorflow::AttrValue padding_value;