ArrayRef<int32_t> end, ArrayRef<int32_t> strides,
                           int64_t begin_mask, int64_t end_mask,
                           int64_t ellipsis_mask, int64_t new_axis_mask,
                           int64_t shrink_axis_mask, OpBuilder* builder) {
  auto output_type = RankedTensorType::get(
      output_shape,

  %6 = "tfl.dequantize"(%5) : (tensor<1x34x1x3x!quant.uniform<i8:f32, 1.0>>) -> tensor<1x34x1x3xf32>
  %7 = "tfl.strided_slice"(%6, %cst_1, %cst_0, %cst) {begin_mask = 13 : i32, ellipsis_mask = 0 : i32, end_mask = 15 : i32, new_axis_mask = 0 : i32, shrink_axis_mask = 0 : i32, offset = false} : (tensor<1x34x1x3xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x2x1x3xf32>

    // expected-remark@+1 {{Cost: 1}}

  int64_t begin_mask;
  int64_t end_mask;
  int64_t ellipsis_mask;
  int64_t new_axis_mask;
  int64_t shrink_axis_mask;
  TF_RETURN_IF_ERROR(
      GetNodeAttr(op.node()->attrs(), "begin_mask", &begin_mask));
  TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "end_mask", &end_mask));
  TF_RETURN_IF_ERROR(
      GetNodeAttr(op.node()->attrs(), "ellipsis_mask", &ellipsis_mask));
  TF_RETURN_IF_ERROR(

      %outputs_55, %control_56 = tf_executor.island wraps "tf.StridedSlice"(%outputs, %outputs_49, %outputs_51, %outputs_53) {begin_mask = 0 : i64, device = "/device:CPU:0", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 1 : i64} : (tensor<4xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<*xi32>

    $input, $begin, $end, $strides, $begin_mask, $end_mask,
    $ellipsis_mask, $new_axis_mask, $shrink_axis_mask),
  (TFL_StridedSliceOp $input,
    (CreateTFCastToInt32Op $begin), (CreateTFCastToInt32Op $end),
    (CreateTFCastToInt32Op $strides), (convertIntAttrTo32Bit $begin_mask),
    (convertIntAttrTo32Bit $end_mask), (convertIntAttrTo32Bit $ellipsis_mask),
    (convertIntAttrTo32Bit $new_axis_mask),

      /*strides=*/Create1DConstValue<int32_t>(builder, loc, {1}),
      /*begin_mask=*/builder.getIntegerAttr(attribute_type, 0),
      /*end_mask=*/builder.getIntegerAttr(attribute_type, 0),
      /*ellipsis_mask=*/builder.getIntegerAttr(attribute_type, 0),
      /*new_axis_mask=*/builder.getIntegerAttr(attribute_type, 0),
      /*shrink_axis_mask=*/builder.getIntegerAttr(attribute_type, 1));
}

  %2 = "tfl.pseudo_const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32>
  %3 = "tfl.strided_slice"(%arg0, %1, %0, %2) {begin_mask = 0 : i32, ellipsis_mask = 0 : i32, end_mask = 0 : i32, new_axis_mask = 0 : i32, shrink_axis_mask = 0 : i32, offset = false} : (tensor<15600xf32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<15600xf32>
  func.return %3 : tensor<15600xf32>

%strides = "tf.Const"() {value = dense<[1, 3]> : tensor<2xi32>} : () -> (tensor<2xi32>)

  // expected-remark@+1 {{failed to create tf2xla kernel: INVALID_ARGUMENT: NodeDef missing attrs 'shrink_axis_mask', 'new_axis_mask', 'begin_mask', 'ellipsis_mask', 'end_mask' from Op<name=StridedSlice; signature=input:T, begin:Index, end:Index, strides:Index -> output:T; attr=T:type; attr=Index:type,allowed=[DT_INT16, DT_INT32, DT_INT64]; attr=begin_mask:int,default=0; attr=end_mask:int,default=0; attr...

}

table SplitOptions {
  num_splits: int;
}

table SplitVOptions {
  num_splits: int;
}

table StridedSliceOptions {
  begin_mask: int;
  end_mask: int;
  ellipsis_mask: int;
  new_axis_mask: int;
  shrink_axis_mask: int;
}

table LogSoftmaxOptions {
}

table CastOptions {
  in_data_type: TensorType;
  out_data_type: TensorType;
}