%0:2 = "tf_device.cluster"() ({
    // CHECK: tf.ApproxTopK
    // CHECK-NOT: _xla_outside_compilation
    %1:2 = "tf.ApproxTopK"(%arg0) {k = 2} : (tensor<16xf32>) -> (tensor<?xf32>, tensor<?xi32>)
    tf_device.return %1#0, %1#1 : tensor<?xf32>, tensor<?xi32>
  }) {allow_soft_placement = true, num_cores_per_replica = 1, topology =  "", device_assignment =  []} : () -> (tensor<?xf32>, tensor<?xi32>)
  func.return %0#0, %0#1 : tensor<?xf32>, tensor<?xi32>
}

  func.return %1#0, %1#1: tensor<3x4x2xf32>, tensor<3x4x2xi32>
}

// -----

// CHECK-LABEL: topk_d
func.func @topk_d(%arg0: tensor<?x8xf32>) -> (tensor<?x2xf32>, tensor<?x2xi32>) {
  %0 = arith.constant dense<2> : tensor<i32>
  %1:2 = "tfl.topk_v2"(%arg0, %0) : (tensor<?x8xf32>, tensor<i32>) -> (tensor<?x2xf32>, tensor<?x2xi32>)
  func.return %1#0, %1#1: tensor<?x2xf32>, tensor<?x2xi32>
}

```Python hl_lines="5" title="app/main.py"
{!../../../docs_src/bigger_applications/app/main.py!}
```

### 包含 `users` 和 `items` 的 `APIRouter`

现在，让我们来包含来自 `users` 和 `items` 子模块的 `router`。

```Python hl_lines="10-11" title="app/main.py"
{!../../../docs_src/bigger_applications/app/main.py!}
```

!!! info
    `users.router` 包含了 `app/routers/users.py` 文件中的 `APIRouter`。

				{Type: v1.NodeHostName, Address: testKubeletHostname},
			},
			existingAnnotations: map[string]string{
				"alpha.kubernetes.io/provided-node-ip": "10.1.1.1,2600:1f14:1d4:d101::ba3d",
			},
			expectedAnnotations: map[string]string{
				"alpha.kubernetes.io/provided-node-ip": "10.1.1.1",
			},
			shouldError: false,
		},
	}
	for _, testCase := range cases {
		t.Run(testCase.name, func(t *testing.T) {

  %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [1, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 1]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>
  // Unsupported ksize
  %1 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [3, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 1]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>
  // Unsupported strides

    // CHECK: "tf.Conv2D"
    // CHECK-SAME: strides = [1, 1, 1, 1]
    // CHECK-SAME: (tensor<2x115x115x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32>

			}
		}
	})

	//Test Case 2:  Check if annotations are set properly
	t.Run("SetReplicasAnnotations", func(t *testing.T) {
		updated := SetReplicasAnnotations(&tRS, 10, 11)
		if !updated {
			t.Errorf("SetReplicasAnnotations() failed")
		}
		value, ok := tRS.Annotations[DesiredReplicasAnnotation]
		if !ok {

				6:  {vDelMarker, vObj}, // disk 6
				7:  {vDelMarker, vObj}, // disk 7
				8:  {vDelMarker, vObj}, // disk 8
				9:  {vDelMarker, vObj}, // disk 9
				10: {vObj},             // disk 10
				11: {vDelMarker, vObj}, // disk 11
				12: {vDelMarker, vObj}, // disk 12
				13: {vDelMarker, vObj}, // disk 13
				14: {vDelMarker, vObj}, // disk 14
				15: {vDelMarker, vObj}, // disk 15
			},

  func.func @matrix_diag_part_v3(%arg0: tensor<7x140x128xi32>) -> tensor<7x22x128xi32> {
    %0 = mhlo.constant dense<42> : tensor<i32>  // padding value
    %1 = mhlo.constant dense<[-10, 11]> : tensor<2xi32>  // k
    // CHECK: mhlo.iota
    // CHECK: mhlo.reshape
    // CHECK: mhlo.concatenate
    // CHECK: mhlo.gather
    // CHECK: mhlo.broadcast
    // CHECK: mhlo.select

// functions like badmorestackg0. In such cases, we'll always take the
// ASCII path.
//
//go:nosplit
func write1(fd uintptr, buf unsafe.Pointer, n int32) int32 {
	const (
		_STD_OUTPUT_HANDLE = ^uintptr(10) // -11
		_STD_ERROR_HANDLE  = ^uintptr(11) // -12
	)
	var handle uintptr
	switch fd {
	case 1:
		handle = stdcall1(_GetStdHandle, _STD_OUTPUT_HANDLE)
	case 2: