attributes.emplace_back(builder.getNamedAttr(
        "limit_indices",
        BuildVhloTensorV1Attr(shape, op->limit_indices, builder)));
    attributes.emplace_back(builder.getNamedAttr(
        "strides", BuildVhloTensorV1Attr(shape, op->strides, builder)));
    return;
  }
  if (const auto* op = op_union.AsStablehloConvolutionOptions()) {
    if (!(op->window_strides.empty())) {
      std::vector<int64_t> shape;

  if (!TFDataFormatIsNDHWC(op)) return failure();

  auto tf_op = cast<TF::Conv3DOp>(op);

  IntegerAttr stride_depth, stride_height, stride_width;
  if (!TFIntListIs1XYZ1(op, "strides", &stride_depth, &stride_height,
                        &stride_width))
    return failure();

  IntegerAttr dilation_depth_factor, dilation_height_factor,
      dilation_width_factor;

		t.Fatal("colorTablesMatch() == false, expected true")
	}
}

func TestEncodeCroppedSubImages(t *testing.T) {
	// This test means to ensure that Encode honors the Bounds and Strides of
	// images correctly when encoding.
	whole := image.NewPaletted(image.Rect(0, 0, 100, 100), palette.Plan9)
	subImages := []image.Rectangle{
		image.Rect(0, 0, 50, 50),
		image.Rect(50, 0, 100, 50),