tensor_dimension_index_selection.hpp

// DO NOT EDIT! This file was auto-generated by crates/build/re_types_builder/src/codegen/cpp/mod.rs
// Based on "crates/build/re_type_definitions/rerun/encodings/tensor_dimension_selection.def.rs".
 
#pragma once
 
#include "../result.hpp"
 
#include <cstdint>
#include <memory>
 
namespace arrow {
    class Array;
    class DataType;
    class StructBuilder;
} // namespace arrow
 
namespace rerun::encodings {
    /// **Encoding**: Indexing a specific tensor dimension.
    ///
    /// Selecting `dimension=2` and `index=42` is similar to doing `tensor[:, :, 42, :, :, …]` in numpy.
    struct TensorDimensionIndexSelection {
        /// The dimension number to select.
        uint32_t dimension;
 
        /// The index along the dimension to use.
        uint64_t index;
 
      public:
        TensorDimensionIndexSelection() = default;
    };
} // namespace rerun::encodings
 
namespace rerun {
    template <typename T>
    struct Loggable;
 
    /// \private
    template <>
    struct Loggable<encodings::TensorDimensionIndexSelection> {
        static constexpr std::string_view ComponentType =
            "rerun.encodings.TensorDimensionIndexSelection";
 
        /// Returns the arrow data type this type corresponds to.
        static const std::shared_ptr<arrow::DataType>& arrow_data_type();
 
        /// Serializes an array of `rerun::encodings::TensorDimensionIndexSelection` into an arrow array.
        static Result<std::shared_ptr<arrow::Array>> to_arrow(
            const encodings::TensorDimensionIndexSelection* instances, size_t num_instances
        );
 
        /// Fills an arrow array builder with an array of this type.
        static rerun::Error fill_arrow_array_builder(
            arrow::StructBuilder* builder, const encodings::TensorDimensionIndexSelection* elements,
            size_t num_elements
        );
    };
} // namespace rerun