if (input.getPath() != null) {
                    inputs.set(i, input.withPath(targetPath.descendant(input.getPath())));
                } else {
                    inputs.set(i, input.inScope(ModelPath.ROOT));
                }
            }
        }

        private ModelReference<?> mapSubject(ModelReference<?> subject, ModelPath targetPath) {
            if (subject.getPath() == null) {

[[sec:task_in_out]]
== Task inputs and outputs

Actionable tasks have inputs and outputs.
Inputs and outputs can be files, directories, or variables.

In actionable tasks:

- *Inputs* consist of a collection of files, folders, and/or configuration data. +

	"istio.io/istio/pkg/workloadapi/security"
)

func TestPodWorkloads(t *testing.T) {
	cases := []struct {
		name   string
		inputs []any
		pod    *v1.Pod
		result *workloadapi.Workload
	}{
		{
			name:   "simple pod not running and not have podIP",
			inputs: []any{},
			pod: &v1.Pod{
				TypeMeta: metav1.TypeMeta{},
				ObjectMeta: metav1.ObjectMeta{
					Name:      "name",
					Namespace: "ns",

            // TODO when implemented, this assertion should be replaced with the commented one:
            inputs.expect(allOf(startsWith("Plugin class 'SneakyPluginA': file '${FileUtils.testFileName}'"), containsString(FileUtils.testFileName)))
            /*
            pluginClasses.forEach {
                inputs = inputs.expect(allOf(startsWith("Plugin class '$it':"), containsString(FileUtils.testFileName))))
            }*/
        }

        (MHLO_CompositeOp:$composite
          (variadic $inputs),
          ConstantStrAttr<StrAttr, "aten.gelu.default">, $attrs, $_, $_),
        (TFL_GeluOp $inputs, ConstBoolAttrFalse),
        [(IsStrCompositeAttribute<"approximate", "none"> $attrs)]>;

def LegalizeCompositeApproximateAtenGELU : Pat<
        (MHLO_CompositeOp:$composite
          (variadic $inputs),

		gp2xer1xer  = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb, xer}, outputs: []regMask{gp, xer}, clobbers: xer}
		gp31        = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb, gp | sp | sb}, outputs: []regMask{gp}}
		gp1cr       = regInfo{inputs: []regMask{gp | sp | sb}}
		gp2cr       = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb}}
		crgp        = regInfo{inputs: nil, outputs: []regMask{gp}}

            }

            task consumesResultOfPrepareBuildAndGeneratesAInSameDirectory {
                inputs.files(sources)
                outputs.file("app/src/generatedA.txt")
                doLast {}
            }

            task consumesResultOfPrepareBuildAndGeneratesBInSameDirectory {
                inputs.files(sources)
                outputs.file("app/src/generatedB.txt")
                doLast {}
            }

    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  input_tensors->reserve(ninputs);
  for (int i = 0; i < ninputs; ++i) {
    Node* node = inputs[i].oper ? &inputs[i].oper->node : nullptr;
    int idx = inputs[i].index;

    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        fn_body->graph.IsValidOutputTensor(node, idx),
        "Encountered while processing input ", i, " into function '", fn_name,
        "'");

    // Fetch inputs from the OpKernelContext. Inputs are the same as the ones
    // for XlaCompile, except that the must-be-constant inputs that appear in
    // the beginning are stripped off and the closure key is appended as the
    // last input. So the inputs look like: input tensors, resource variables,
    // closure key tensor.
    std::vector<const Tensor*> inputs = InputsFromContext(ctx);

  SmallVector<StringRef> inputs;
  mlir::dyn_cast_or_null<StringAttr>(entry_function_attr.get("inputs"))
      .strref()
      .split(inputs, /*Separator=*/",");

  return inputs;
}

void ConvertMainArgAttrs(func::FuncOp main_func_op, const int arg_idx,
                         const StringRef index_path) {
  const ArrayRef<NamedAttribute> arg_attrs =