%13 = "tf.Mul"(%11, %12) : (tensor<1xf32>, tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xf32>
    %14 = "tf.Round"(%13) : (tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xf32>
    %15 = "tf.Cast"(%14) {Truncate = false} : (tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xi32>
    %16 = "tf.AddV2"(%15, %arg10) : (tensor<1x2x2x3xi32>, tensor<i32>) -> tensor<1x2x2x3xi32>

  func.return %resize: tensor<1x3x3x1xi32>
}

// CHECK-LABEL: func @imag_resize_nearest_dyn_img
func.func @imag_resize_nearest_dyn_img(%arg0: tensor<1x?x?x1xi32>) -> tensor<1x3x3x1xi32> {
  %shape = "tf.Const"() {device = "", value = dense<3> : tensor<2xi32>} : () -> tensor<2xi32>

func.func @NoPadStridedSliceNonNewAxisMask(%arg0: tensor<1x2x3x1xf32>) -> tensor<1x2x3x1xf32> {
  %cst = arith.constant dense<0> : tensor<4xi32>
  %cst_0 = arith.constant dense<1> : tensor<4xi32>
  %0 = "tf.StridedSlice"(%arg0, %cst, %cst, %cst_0) {begin_mask = 15 : i64, ellipsis_mask = 0 : i64, end_mask = 15 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<1x2x3x1xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x2x3x1xf32>

  func.return %1 : tensor<1x2x2x5xf32>

// CHECK: %0 = "tfl.dequantize"(%arg0)
// CHECK: %1 = "tfl.strided_slice"(%0, %arg1, %arg2, %arg3)
// CHECK: %2 = "tfl.quantize"(%1) <{qtype = tensor<1x2x2x5x!quant.uniform<u8:f32, 1.000000e-01>>}> {volatile}
// CHECK: %3 = "tfl.dequantize"(%2)
// CHECK: return %3 : tensor<1x2x2x5xf32>
}

// CHECK-LABEL: QuantizePad