node.hpp

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/*
 * SPDX-FileCopyrightText: Copyright (c) 2023-2025, NVIDIA CORPORATION.
 * SPDX-License-Identifier: Apache-2.0
 */
#pragma once
 
#include <cuml/fil/detail/index_type.hpp>
#include <cuml/fil/detail/raft_proto/gpu_support.hpp>
#include <cuml/fil/tree_layout.hpp>
 
#include <iostream>
#include <type_traits>
 
namespace ML {
namespace fil {
 
namespace detail {
 
/*
 * Return the byte size to which a node with the given types should be aligned
 */
template <typename threshold_t, typename index_t, typename metadata_storage_t, typename offset_t>
auto constexpr get_node_alignment()
{
  auto total  = index_type(std::max(sizeof(threshold_t), sizeof(index_t)) +
                          sizeof(metadata_storage_t) + sizeof(offset_t));
  auto result = index_type{8};
  if (total > result) { result = index_type{16}; }
  if (total > result) { result = index_type{32}; }
  if (total > result) { result = index_type{64}; }
  if (total > result) { result = index_type{128}; }
  if (total > result) { result = index_type{256}; }
  if (total > result) { result = total; }
  return result;
}
 
}  // namespace detail
 
/* @brief A single node in a forest model
 *
 * Note that this implementation includes NO error checking for poorly-chosen
 * template types. If the types are not large enough to hold the required data,
 * an incorrect node will be silently constructed. Error checking occurs
 * instead at the time of construction of the entire forest.
 *
 * @tparam layout_v The layout for nodes within the forest
 *
 * @tparam threshold_t The type used as a threshold for evaluating a non-leaf
 * node or (when possible) the output of a leaf node. For non-categorical
 * nodes, if an input value is less than this threshold, the node evaluates to
 * true. For leaf nodes, output values will only be stored as this type if it
 * matches the leaf output type expected by the forest. Typically, this type is
 * either float or double.
 *
 * @tparam index_t The type used as an index to the output data for leaf nodes,
 * or to the categorical set for a categorical non-leaf node. This type should
 * be large enough to index the entire array of output data or categorical sets
 * stored in the forest. Typically, this type is either uint32_t or uint64_t.
 * Smaller types offer no benefit, since this value is stored in a union with
 * threshold_t, which is at least 32 bits.
 *
 * @tparam metadata_storage_t An unsigned integral type used for a bit-wise
 * representation of metadata about this node. The first three bits encode
 * whether or not this is a leaf node, whether or not we should default to the
 * more distant child in case of missing values, and whether or not this node
 * is categorical. The remaining bits are used to encode the feature index for
 * this node. Thus, uint8_t may be used for 2**(8 - 3) = 32 or fewer features,
 * uint16_t for 2**(16 - 3) = 8192 or fewer, and uint32_t for 536870912 or
 * fewer features.
 *
 * @tparam offset_t An integral type used to indicate the offset from
 * this node to its most distant child. This type must be large enough to store
 * the largest such offset in the forest model.
 */
template <tree_layout layout_v,
          typename threshold_t,
          typename index_t,
          typename metadata_storage_t,
          typename offset_t>
struct alignas(detail::get_node_alignment<threshold_t, index_t, metadata_storage_t, offset_t>())
  node {
  // @brief An alias for layout_v
  auto constexpr static const layout = layout_v;
  // @brief An alias for threshold_t
  using threshold_type = threshold_t;
  // @brief An alias for index_t
  using index_type = index_t;
  /* @brief A union to hold either a threshold value or index
   *
   * All nodes will need EITHER a threshold value, an output value, OR an index
   * to data elsewhere that wil be used either for evaluating the node (e.g. an
   * index to a categorical set) or creating an output (e.g. an index to vector
   * leaf output). This union allows us to store either of these values without
   * using additional space for the unused value.
   */
  union value_type {
    threshold_t value;
    index_t index;
  };
  using metadata_storage_type = metadata_storage_t;
  using offset_type = offset_t;
 
  // TODO(wphicks): Add custom type to ensure given child offset is at least
  // one
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wnarrowing"
  HOST DEVICE constexpr node(threshold_type value             = threshold_type{},
                             bool is_leaf_node                = true,
                             bool default_to_distant_child    = false,
                             bool is_categorical_node         = false,
                             metadata_storage_type feature    = metadata_storage_type{},
                             offset_type distant_child_offset = offset_type{})
    : aligned_data{
        .inner_data = {
          {.value = value},
          distant_child_offset,
          construct_metadata(is_leaf_node, default_to_distant_child, is_categorical_node, feature)}}
  {
  }
 
  HOST DEVICE constexpr node(index_type index,
                             bool is_leaf_node                = true,
                             bool default_to_distant_child    = false,
                             bool is_categorical_node         = false,
                             metadata_storage_type feature    = metadata_storage_type{},
                             offset_type distant_child_offset = offset_type{})
    : aligned_data{
        .inner_data = {
          {.index = index},
          distant_child_offset,
          construct_metadata(is_leaf_node, default_to_distant_child, is_categorical_node, feature)}}
  {
  }
#pragma GCC diagnostic pop
 
  /* The index of the feature for this node */
  HOST DEVICE auto constexpr feature_index() const
  {
    return aligned_data.inner_data.metadata & FEATURE_MASK;
  }
  /* Whether or not this node is a leaf node */
  HOST DEVICE auto constexpr is_leaf() const
  {
    return !bool(aligned_data.inner_data.distant_offset);
  }
  /* Whether or not to default to distant child in case of missing values */
  HOST DEVICE auto constexpr default_distant() const
  {
    return bool(aligned_data.inner_data.metadata & DEFAULT_DISTANT_MASK);
  }
  /* Whether or not this node is a categorical node */
  HOST DEVICE auto constexpr is_categorical() const
  {
    return bool(aligned_data.inner_data.metadata & CATEGORICAL_MASK);
  }
  /* The offset to the child of this node if it evaluates to given condition */
  HOST DEVICE auto constexpr child_offset(bool condition) const
  {
    if constexpr (layout == tree_layout::depth_first) {
      return offset_type{1} + condition * (aligned_data.inner_data.distant_offset - offset_type{1});
    } else if constexpr (layout == tree_layout::breadth_first ||
                         layout == tree_layout::layered_children_together) {
      return condition * offset_type{1} + (aligned_data.inner_data.distant_offset - offset_type{1});
    } else {
      static_assert(layout == tree_layout::depth_first);
    }
  }
  /* The threshold value for this node */
  HOST DEVICE auto constexpr threshold() const
  {
    return aligned_data.inner_data.stored_value.value;
  }
 
  /* The index value for this node */
  HOST DEVICE auto const& index() const { return aligned_data.inner_data.stored_value.index; }
  /* The output value for this node
   *
   * @tparam output_t The expected output type for this node.
   */
  template <bool has_vector_leaves>
  HOST DEVICE auto constexpr output() const
  {
    if constexpr (has_vector_leaves) {
      return aligned_data.inner_data.stored_value.index;
    } else {
      return aligned_data.inner_data.stored_value.value;
    }
  }
 
 private:
  /* Define all bit masks required to extract information from the stored
   * metadata. The first bit tells us whether or not this is a leaf node, the
   * second tells us whether or not we should default to the distant child in
   * the case of a missing value, and the third tells us whether or not this is
   * a categorical node. The remaining bits indicate the index of the feature
   * for this node */
  auto constexpr static const LEAF_BIT =
    metadata_storage_type(index_type(sizeof(metadata_storage_type) * 8 - 1));
  auto constexpr static const LEAF_MASK           = metadata_storage_type(1 << LEAF_BIT);
  auto constexpr static const DEFAULT_DISTANT_BIT = metadata_storage_type(LEAF_BIT - 1);
  auto constexpr static const DEFAULT_DISTANT_MASK =
    metadata_storage_type(1 << DEFAULT_DISTANT_BIT);
  auto constexpr static const CATEGORICAL_BIT  = metadata_storage_type(DEFAULT_DISTANT_BIT - 1);
  auto constexpr static const CATEGORICAL_MASK = metadata_storage_type(1 << CATEGORICAL_BIT);
  auto constexpr static const FEATURE_MASK =
    metadata_storage_type(~(LEAF_MASK | DEFAULT_DISTANT_MASK | CATEGORICAL_MASK));
 
  // Helper function for bit packing with the above masks
  auto static constexpr construct_metadata(bool is_leaf_node             = true,
                                           bool default_to_distant_child = false,
                                           bool is_categorical_node      = false,
                                           metadata_storage_type feature = metadata_storage_type{})
  {
    return metadata_storage_type(
      (is_leaf_node << LEAF_BIT) + (default_to_distant_child << DEFAULT_DISTANT_BIT) +
      (is_categorical_node << CATEGORICAL_BIT) + (feature & FEATURE_MASK));
  }
 
  auto static constexpr const byte_size =
    detail::get_node_alignment<threshold_t, index_t, metadata_storage_t, offset_t>();
 
  struct inner_data_type {
    value_type stored_value;
    // TODO (wphicks): It may be possible to store both of the following together
    // to save bytes
    offset_type distant_offset;
    metadata_storage_type metadata;
  };
  union aligned_data_type {
    inner_data_type inner_data;
    char spacer_data[byte_size];
  };
 
  aligned_data_type aligned_data;
};
 
}  // namespace fil
}  // namespace ML