// CHECK:           }) : (tensor<5x4x3x7xf32>, tensor<2x2xi32>, tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32>
// CHECK:           return %[[VAL_3]] : tensor<5x4x3x7xf32>
// CHECK:         }
func.func @convert_scatter_update_to_non_trailing_operand_dimensions(
  %arg0: tensor<5x4x3x7xf32>,
  %arg1: tensor<2x2xi32>,
  %arg2: tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32>
{
  %0 = "mhlo.scatter"(%arg0, %arg1, %arg2) ({

  func.return %47 : tensor<*xf32>

  // CHECK-NOT: %[[slice:.*]] = "tfl.slice"
}

// CHECK-LABEL: @StridedSliceToSliceBeginNeg
func.func @StridedSliceToSliceBeginNeg(%arg0: tensor<5x5x5x5xf32>) -> tensor<*xf32> {
  %44 = arith.constant dense<[-5, 0, 0, 0]> : tensor<4xi32>

}

// -----

func.func @unpack(%arg0: tensor<?x2x5x3xf32>) -> () {
  %0:2 = "tfl.unpack"(%arg0) {axis = 1 : i32, num = 2 : i32} : (tensor<?x2x5x3xf32>) -> (tensor<5x5x3xf32>, tensor<5x5x3xf32>)
  func.return
}

// -----

// CHECK-LABEL: testMean
func.func @testMean(%arg0: tensor<2x2xf32>, %arg1 : tensor<1xi32>) -> tensor<1x2xf32> {

  // CHECK: %[[BROADCASTED:.*]] = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<[1, 3]> : tensor<2xi64>}> : (tensor<4x8xf32>) -> tensor<7x4x3x8xf32>
  // CHECK: %[[RESULT:.*]] = mhlo.reshape %[[BROADCASTED]] : (tensor<7x4x3x8xf32>) -> tensor<28x24xf32>
  // CHECK: return %[[RESULT]] : tensor<28x24xf32>
  %multiples = "tf.Const"() { value = dense<[7,3]> : tensor<2xi64> } : () -> tensor<2xi64>