// -----

// CHECK-LABEL: testResizeBilinear
func.func @testResizeBilinear(%arg0 : tensor<1x100x100x3xf32>, %arg1 : tensor<4xi32>) -> tensor<?xf32> {
  // CHECK: "tfl.resize_bilinear"(%arg0, %arg1) <{align_corners = false, half_pixel_centers = false}>
  %0 = "tfl.resize_bilinear"(%arg0, %arg1) {align_corners = false, half_pixel_centers = false} : (tensor<1x100x100x3xf32>, tensor<4xi32>) -> tensor<?xf32>
  func.return %0 : tensor<?xf32>
}

func.func @resize_with_bilinear(%arg0: tensor<1x100x100x3xf32>, %arg1: tensor<4xi32>) -> tensor<?xf32> {
  %0 = "tf.ResizeBilinear"(%arg0, %arg1) {align_corners = true} : (tensor<1x100x100x3xf32>, tensor<4xi32>) -> tensor<?xf32>
  func.return %0 : tensor<?xf32>
  // CHECK-LABEL: resize_with_bilinear
  // CHECK: "tfl.resize_bilinear"(%arg0, %arg1) <{align_corners = true, half_pixel_centers = false}> : (tensor<1x100x100x3xf32>, tensor<4xi32>) -> tensor<?xf32>

  let hasOptions = 1;
}

def TFL_ResizeBilinearOp: TFL_Op<"resize_bilinear", [
    Pure,
    QuantizableResult,
    PredOpTrait<"input and output must have same element type",
      TFL_TCresVTEtIsSameAsOp<0, 0>>,
    TFL_OperandHasRank<0, 4>,
    TFL_OperandHasRank<1, 1>,
    SameOperandsAndResultsScale]> {
  let summary = "ResizeBilinear Op";

  let description = [{