Value filter_value = op.getOperand(1);
    Operation* filter_op = filter_value.getDefiningOp();
    auto filter_uniform_quantized_type =
        GetElementType(filter_value).cast<UniformQuantizedPerAxisType>();
    auto filter_constant_value_attr = cast<DenseIntElementsAttr>(
        cast<stablehlo::ConstantOp>(filter_value.getDefiningOp()).getValue());

   * Predicates.instanceOf(ArrayList.class)}, which is inconsistent with equals.
   */
  public static <K extends @Nullable Object, V extends @Nullable Object> Map<K, V> filterValues(
      Map<K, V> unfiltered, final Predicate<? super V> valuePredicate) {
    return filterEntries(unfiltered, Maps.<V>valuePredicateOnEntries(valuePredicate));
  }

  /**

   * Predicates.instanceOf(ArrayList.class)}, which is inconsistent with equals.
   */
  public static <K extends @Nullable Object, V extends @Nullable Object> Map<K, V> filterValues(
      Map<K, V> unfiltered, final Predicate<? super V> valuePredicate) {
    return filterEntries(unfiltered, Maps.<V>valuePredicateOnEntries(valuePredicate));
  }

  /**

      has_bias: bool,
      has_batch_norm: bool,
      target_opset: quant_opts_pb2.OpSet,
  ):
    class ConvModel(module.Module):

      def __init__(self):
        self.filter_value = np.random.uniform(
            low=-0.5, high=0.5, size=(2, 3, 3, 2)
        ).astype('f4')

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(