Region &entry = func.getRegion();
  TypeConverter::SignatureConversion signature_conversion(
      entry.getNumArguments());
  for (const BlockArgument &arg : entry.getArguments()) {
    signature_conversion.addInputs(arg.getArgNumber(),
                                   updated_argument_types[arg.getArgNumber()]);
  }
  rewriter.applySignatureConversion(&entry.front(), signature_conversion);
}

  AbstractOperationPtr op_ptr(ctx->CreateOperation());
  TF_RETURN_IF_ERROR(op_ptr->Reset("Mul", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(x));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(y));
  int num_retvals = 1;
  return op_ptr->Execute(absl::MakeSpan(z, 1), &num_retvals);
}

// Op: Conj()
// Summary: Returns the complex conjugate of a complex number.
//
// Description:

  TF_RETURN_IF_ERROR(op_ptr->Reset("AccumulatorApplyGradient", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(handle));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(local_step));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(gradient));
  int num_retvals = 0;
  std::vector<AbstractTensorHandle*> dummy_outputs;
  return op_ptr->Execute(absl::MakeSpan(dummy_outputs), &num_retvals);
}

  TF_RETURN_IF_ERROR(
      op_ptr->Reset("SparseSoftmaxCrossEntropyWithLogits", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(features));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(labels));
  int num_retvals = 2;
  AbstractTensorHandle* temp_outputs[2];
  Status status = op_ptr->Execute(temp_outputs, &num_retvals);
  *loss = temp_outputs[0];
  *backprop = temp_outputs[1];

  TF_RETURN_IF_ERROR(op_ptr->Reset("RestoreV2", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(prefix));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(tensor_names));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(shape_and_slices));
  TF_RETURN_IF_ERROR(
      op_ptr->SetAttrTypeList("dtypes", dtypes.data(), dtypes.length()));
  int num_retvals = tensors.size();

  TF_RETURN_IF_ERROR(assign_op->Reset("AssignVariableOp", nullptr));
  TF_RETURN_IF_ERROR(assign_op->SetAttrType("dtype", dtype));
  TF_RETURN_IF_ERROR(assign_op->AddInput(variable_handle));
  TF_RETURN_IF_ERROR(assign_op->AddInput(value));

  int num_retvals = 0;
  TF_RETURN_IF_ERROR(assign_op->Execute({}, &num_retvals));
  return Status();
}

Status ReadVariable(ImmediateExecutionContext* ctx,

  TF_RETURN_IF_ERROR(op_ptr->Reset("ExpandDims", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(input));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(dim));
  int num_retvals = 1;
  return op_ptr->Execute(absl::MakeSpan(output, 1), &num_retvals);
}

// Op: OnesLike()

  TF_RETURN_IF_ERROR(op_ptr->Reset("AssignVariableOp", raw_device_name));
  TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(resource));
  TF_RETURN_IF_ERROR(op_ptr->AddInput(value));
  TF_RETURN_IF_ERROR(op_ptr->SetAttrBool("validate_shape", validate_shape));
  int num_retvals = 0;
  std::vector<AbstractTensorHandle*> dummy_outputs;

  TF_RETURN_IF_ERROR(
      CreateStringVectorTensorHandle(ctx, "", &shapes_and_slices_handle));

  TF_RETURN_IF_ERROR(restore_op->AddInput(prefix_handle.get()));
  TF_RETURN_IF_ERROR(restore_op->AddInput(names_handle.get()));
  TF_RETURN_IF_ERROR(restore_op->AddInput(shapes_and_slices_handle.get()));

  AbstractTensorHandle* restored_handle = nullptr;
  int num_retvals = 1;
  TF_RETURN_IF_ERROR(restore_op->Execute(

ArgView::ArgView(ArgSpec arg) : arg_(arg) {}

string ArgView::VariableName() const { return arg_.name(); }

string ArgView::SetterMethod() const {
  if (IsList()) {
    return "AddInputList";
  } else {
    return "AddInput";
  }
}

std::vector<string> ArgView::SetterArgs() const { return {VariableName()}; }

bool ArgView::IsList() const { return arg_.arg_type().is_list(); }

int ArgView::Position() const { return arg_.position(); }