tf_device.return %5 : tensor<512xi32>
    }) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : () -> (tensor<512xi32>, tensor<1024xi32>, tensor<1024xi32>, tensor<1024xf32>)
    // CHECK: %[[COMPILE_OUTPUT:[0-9]*]]:4 = "tf_device.launch"
    // CHECK: "tf._TPUCompileMlir"()
    // CHECK: is_bounded_dynamic_dim: true

  // CHECK: "tfl.pack"(%arg0, %arg1) <{axis = -2 : i32, values_count = 2 : i32}>
  %0 = "tfl.pack"(%arg0, %arg1) {axis = -2 : i32, values_count = 2 : i32} : (tensor<1x4xi32>, tensor<1x4xi32>) -> tensor<1x2x4xi32>
  func.return %0 : tensor<1x2x4xi32>
}

func.func @packNegInputAxis3(%arg0: tensor<1x4xi32>, %arg1: tensor<1x4xi32>) -> tensor<2x1x4xi32> {

    func.return %0 : tensor<*xf32>
  }

  // CHECK-LABEL: func.func private @main_00(%arg0: tensor<?x1024xf32>) -> tensor<?x3xf32>
  func.func private @main_00(%arg0: tensor<?x1024xf32>) -> tensor<*xf32> attributes {tf._original_func_name = "main_0"} {
    %cst = "tf.Const"() <{value = dense<1.000000e+00> : tensor<1024x3xf32>}> : () -> tensor<1024x3xf32>

// CHECK:         }
}

// -----

module {

func.func @multinomial_i32(%arg0: tensor<2xf32>, %arg1: tensor<1xi32>) -> tensor<10xi32> {
  %0 = "tf.Multinomial"(%arg0, %arg1) {seed = 0 : i64, seed2 = 0: i64} : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi32>
  func.return %0 : tensor<10xi32>

// CHECK-LABEL:multinomial_i32
// CHECK: "tfl.multinomial"(%arg0, %arg1) <{seed = 0 : i64, seed2 = 0 : i64}> : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi32>
}

func.func @testTranspose(tensor<2x3xf32>, tensor<1x2xi32>) -> tensor<3x2xf32> {
^bb0(%arg0: tensor<2x3xf32>, %arg1: tensor<1x2xi32>):
  // expected-error @+1 {{expected perm to be a 1-D Tensor, got perm of rank 2}}
  %0 = "tf.Transpose"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", Tperm = "tfdtype$DT_INT32"} : (tensor<2x3xf32>, tensor<1x2xi32>) -> tensor<3x2xf32>
  func.return %0 : tensor<3x2xf32>
}

// -----

  %0 = stablehlo.constant() {value = dense<1> : tensor<1024x3xi8>} : () -> tensor<1024x3x!quant.uniform<i8<-127:127>:f32:1, {2.000000e+0, 2.000000e+0, 2.000000e+0}>>

func.func @testGatherToV2(%params: tensor<4x3xf32>, %indices: tensor<1x2xi32>) -> tensor<2x3xf32> {
  // CHECK: %[[AXIS:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>
  // CHECK: "tf.GatherV2"(%arg0, %arg1, %[[AXIS]]) <{batch_dims = 0 : i64}> {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<4x3xf32>, tensor<1x2xi32>, tensor<i32>) -> tensor<2x3xf32>