}
    std::vector<TensorHandlePtr> components;
    components.reserve(inputs.size());
    for (int i = 0; i < inputs.size(); ++i) {
      if (absl::holds_alternative<ParallelTensor*>(inputs[i])) {
        std::string message(absl::StrCat(
            "Expected all inputs to TPUReplicatedInput to be non-parallel "
            "TensorHandles. The input ",
            i,
            " was a parallel tensor (already "

//   return tf.exp(input), grad
// outputs = [f(inputs[0])]
Status ExpWithPassThroughGrad(AbstractContext* ctx,
                              absl::Span<AbstractTensorHandle* const> inputs,
                              absl::Span<AbstractTensorHandle*> outputs) {
  Tape tape(/*persistent=*/false);
  tape.Watch(inputs[0]);  // Watch x.
  AbstractTensorHandle* exp_output;
  TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp"));

	"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",

// CHECK-NEXT:       has_rank: true
// CHECK-NEXT:     } ],
// CHECK-NEXT:     inputs: [ 0, 1 ],
// CHECK-NEXT:     outputs: [ 3 ],
// CHECK-NEXT:     operators: [ {
// CHECK-NEXT:       inputs: [ 0, 1 ],
// CHECK-NEXT:       outputs: [ 2 ]
// CHECK-NEXT:     }, {
// CHECK-NEXT:       opcode_index: 1,
// CHECK-NEXT:       inputs: [ 2, 0, 1 ],
// CHECK-NEXT:       outputs: [ 3 ],

  Example:
    @composite.Composite('AddN')
    def _compose_add_n(inputs, N):
      if N == 1:
        ....
  """

  # TODO(fengliuai): support input_binding and output_binding so the arguments
  # are not positional.
  def __init__(self,
               op_name,
               inputs=None,
               attrs=None,
               derived_attrs=None,
               outputs=None):

        "inputs.file('a')"                                          | "TaskInputs.file(Object)"
        "inputs.files('a')"                                         | "TaskInputs.files(Object...)"
        "inputs.dir('a')"                                           | "TaskInputs.dir(Object)"
        "inputs.property('key', 'value')"                           | "TaskInputs.property(String, Object)"

func (f *Selector) Selects(inputs Set) bool {
	return !inputs.containsAny(f.absent) && inputs.containsAll(f.present)
}

// Excludes returns false, if the given set of labels, even combined with new ones, could end up satisfying the Selector.
// It returns false, if Matches would never return true, even if new labels are added to the input set.
func (f *Selector) Excludes(inputs Set) bool {
	return inputs.containsAny(f.absent)
}

// CHECK:             quantization: {
// CHECK:             },
// CHECK:             has_rank: true
// CHECK:           } ],
// CHECK:           inputs: [ 0 ],
// CHECK:           outputs: [ 2 ],
// CHECK:           operators: [ {
// CHECK:             inputs: [ 1, 0 ],
// CHECK:             outputs: [ 2 ],
// CHECK:             builtin_options_type: AddOptions,
// CHECK:             builtin_options: {
// CHECK:             }

// CHECK-NEXT:      buffer: 2,
// CHECK-NEXT:      name: "outputs",
// CHECK-NEXT:      quantization: {
// CHECK:           }
// CHECK-NEXT:    } ],
// CHECK-NEXT:    inputs: [ 0 ],
// CHECK-NEXT:    outputs: [ 1 ],
// CHECK-NEXT:    operators: [ {
// CHECK-NEXT:      inputs: [ 0, 0 ],
// CHECK-NEXT:      outputs: [ 1 ],
// CHECK-NEXT:      builtin_options_type: AddOptions,
// CHECK-NEXT:      builtin_options: {
// CHECK:           }

     *
     * @since 6.0
     */
    @TaskAction
    protected void compile(InputChanges inputs) {
        DefaultJavaCompileSpec spec = createSpec();
        if (!compileOptions.isIncremental()) {
            performFullCompilation(spec);
        } else {
            performIncrementalCompilation(inputs, spec);
        }
    }