}
      tf_outputs[i] = t->output_;
    }
    TF_AddInputList(op_.get(), tf_outputs.data(), tf_outputs.size());
    return absl::OkStatus();
  }
  Status Execute(absl::Span<AbstractTensorHandle*> retvals,
                 int* num_retvals) override {
    auto* tf_opdesc = op_.release();
    if (tf_opdesc == nullptr) {
      return errors::InvalidArgument("AbstractOp is incomplete.");
    }

  virtual Status AddInput(AbstractTensorHandle* input) = 0;
  virtual Status AddInputList(
      absl::Span<AbstractTensorHandle* const> inputs) = 0;
  virtual Status Execute(absl::Span<AbstractTensorHandle*> retvals,
                         int* num_retvals) = 0;

  virtual Status SetAttrString(const char* attr_name, const char* data,
                               size_t length) = 0;

    func.func @main(%arg0: tensor<3x3x10xbf16>, %arg1: tensor<3xi32>) -> tensor<1x?x4xbf16> attributes {allow_soft_placement = false, tf.entry_function = {control_outputs = "", inputs = "_arg0,_arg1,_arg2", outputs = "_retval0"}} {
      %cst = "tf.Const"() {value = dense<[1, -1, 4]> : tensor<3xi32>} : () -> tensor<3xi32>

}

Status MlirAbstractOp::Execute(absl::Span<AbstractTensorHandle*> retvals,
                               int* num_retvals) {
  OperationState* state;
  TF_RETURN_IF_ERROR(Create(operands_, &state));
  Operation* op = function_context_->CreateOperationFromState(*state);
  *num_retvals = op->getNumResults();
  for (int i = 0; i < *num_retvals; i++)
    retvals[i] = new MlirTensor(op->getResult(i));
  return absl::OkStatus();
}

  llvm::SmallVector<std::tuple<int64_t, int64_t, bool>, 8>
      output_buffer_to_size;
  for (auto retval : llvm::enumerate(old_terminator->getOperands())) {
    auto it = buffer_to_size.find(retval.value());
    if (it == buffer_to_size.end()) continue;
    output_buffer_to_size.emplace_back(retval.index(), new_outputs.size(),
                                       it->getSecond().fixed);

			if err != nil {
				return err
			}
			retval := inject.IntoResourceFile(injector, templs, vc, rev, meshConfig,
				reader, writer, func(warning string) {
					warnings = append(warnings, warning)
				})
			if len(warnings) > 0 {
				fmt.Fprintln(c.ErrOrStderr())
			}
			for _, warning := range warnings {
				fmt.Fprintln(c.ErrOrStderr(), warning)
			}
			return retval
		},

	ctrl, err := newTestController(ctx, nil, nil, false)
	if err != nil {
		t.Fatalf("Construct PersistentVolume controller failed: %v", err)
	}
	retVal := ctrl.provisionClaim(ctx, nil)
	if retVal != nil {
		t.Errorf("Expected nil return but got %v", retVal)
	}

//                    "[\\PIPE\\netdfs]", auth);
//        try {
//            rpc = new MsrpcDfsRootEnum(domainName);
//            handle.sendrecv(rpc);
//            if (rpc.retval != 0)
//                throw new SmbException(rpc.retval, true);
//            return rpc.getEntries();
//        } finally {
//            try {
//                handle.close();
//            } catch(IOException ioe) {

// CHECK:  func.func @_ifrt_program__func(%arg0: tensor<1x3xf32>)
// CHECK-SAME: __tpu_compile_metadata_text = "args { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 3 } } kind: PARAMETER sharding { } is_bounded_dynamic_dim: false } retvals { sharding { } } num_replicas: 1 num_cores_per_replica: 1 "
// CHECK-SAME: tfrt_ifrt_serving.program_id = [[PROGRAM_ID]] : i64
// CHECK:      return

// Return value of sigtrampgo is stored in R0.
TEXT sigtramp<>(SB),NOSPLIT|NOFRAME,$0
	MOVM.DB.W [R4-R11, R14], (R13)	// push {r4-r11, lr} (SP-=40)
	SUB	$(16), R13		// reserve space for parameters/retval to go call

	MOVW	R0, R6			// Save param0
	MOVW	R1, R7			// Save param1
	BL	runtime·load_g(SB)	// Clobbers R0

	MOVW	$0, R4
	MOVW	R4, 0(R13)	// No saved link register.