}];

  let arguments = (ins ElementsAttr:$value,
                   SparsityParameterAttr:$s_param,
                   ElementsAttr:$compressed_data);

  let results = (outs AnyTensor:$output);

  let builders = [
    OpBuilder<(ins "TypedAttr":$value, "SparsityParameterAttr":$s_param,
      "Attribute":$compressed_data),
    [{
      $_state.addTypes(value.getType());

          0, segments, indices);
    } else {
      return errors::Unimplemented("Unsupported dimension metadata type");
    }
  }
  auto s_param = tfl::SparsityParameterAttr::get(
      builder.getContext(), tensor.sparsity->traversal_order,
      tensor.sparsity->block_map, dim_metadata);

  std::vector<char> dense_buffer(

  // Returns a unique name for `val`.
  std::string UniqueName(mlir::Value val);

  BufferOffset<tflite::SparsityParameters> BuildSparsityParameters(
      const mlir::TFL::SparsityParameterAttr& s_attr);

  bool EstimateArithmeticCount(int64_t* count);

  // Check compatibility with GPU delegate and returns the compatibility.
  bool CheckGpuDelegateCompatibility(uint8_t* model_buffer_pointer);