builder.getContext(), tensor.sparsity->traversal_order,
      tensor.sparsity->block_map, dim_metadata);

  std::vector<char> dense_buffer(
      value_type.getElementType().getIntOrFloatBitWidth() / CHAR_BIT);
  mlir::TypedAttr dummy_value =
      mlir::DenseIntOrFPElementsAttr::getFromRawBuffer(value_type,
                                                       dense_buffer);

ShapedType ConvertIntToQint(ShapedType input_type, MLIRContext* ctx) {
  int bit_width;
  bool is_signed;

  Type ele_type = input_type.getElementType();
  if (ele_type.isIntOrFloat()) {
    bit_width = ele_type.getIntOrFloatBitWidth();
    is_signed = ele_type.isSignlessIntOrFloat() || ele_type.isSignedInteger();
  } else if (QuantizedType qtype = mlir::dyn_cast<QuantizedType>(ele_type)) {
    bit_width = qtype.getStorageTypeIntegralWidth();

  Type type = x_type.clone(builder->getI32Type());
  return builder->create<CastOp>(loc, type, x, truncate);
}

static APFloat ConvertToAPFloat(double val, Type type) {
  if (type.getIntOrFloatBitWidth() == 32) {
    return APFloat(static_cast<float>(val));
  }

  return APFloat(val);
}

// Performs the operation of `Shape(input)[idx]`.