hash_vision_step()

size_t MayaFlux::Kinesis::Vision::hash_vision_step ( VisionOp  op, const VisionParams &  params  )

inline

Hash a VisionStep's op and parameters together.

Keys GPU dispatch memoization on VisionPass::completed, which spans one walk including any suspensions. Two steps hashing equal are treated as interchangeable, so every field that changes the output must be hashed.

Definition at line 367 of file VisionOp.hpp.

{
    size_t seed = std::hash<std::string_view> {}(Reflect::enum_to_string(op));
 
    std::visit([&seed](const auto& p) {
        using T = std::decay_t<decltype(p)>;
        if constexpr (std::is_same_v<T, std::monostate>) {
        } else if constexpr (std::is_same_v<T, ThresholdParams>) {
            hash_combine(seed, std::hash<float> {}(p.value));
        } else if constexpr (std::is_same_v<T, ThresholdAdaptiveParams>) {
            hash_combine(seed, std::hash<uint32_t> {}(p.block_size));
            hash_combine(seed, std::hash<float> {}(p.offset));
        } else if constexpr (std::is_same_v<T, NormalizeRangeParams>) {
            hash_combine(seed, std::hash<float> {}(p.lo));
            hash_combine(seed, std::hash<float> {}(p.hi));
        } else if constexpr (std::is_same_v<T, GaussianBlurParams>) {
            hash_combine(seed, std::hash<float> {}(p.sigma));
        } else if constexpr (std::is_same_v<T, FilterSeparableParams>) {
            for (float v : p.kernel_x)
                hash_combine(seed, std::hash<float> {}(v));
            for (float v : p.kernel_y)
                hash_combine(seed, std::hash<float> {}(v));
        } else if constexpr (std::is_same_v<T, CannyParams>) {
            hash_combine(seed, std::hash<float> {}(p.sigma));
            hash_combine(seed, std::hash<float> {}(p.low_threshold));
            hash_combine(seed, std::hash<float> {}(p.high_threshold));
        } else if constexpr (std::is_same_v<T, MorphParams>) {
            hash_combine(seed, std::hash<uint32_t> {}(p.radius));
        } else if constexpr (std::is_same_v<T, HarrisParams>) {
            hash_combine(seed, std::hash<float> {}(p.k));
            hash_combine(seed, std::hash<float> {}(p.sigma));
        } else if constexpr (std::is_same_v<T, ExtractPeaksParams>) {
            hash_combine(seed, std::hash<float> {}(p.threshold));
            hash_combine(seed, std::hash<uint32_t> {}(p.nms_radius));
        } else if constexpr (std::is_same_v<T, TrackKeypointsParams>) {
            hash_combine(seed, std::hash<uint32_t> {}(p.window_radius));
            hash_combine(seed, std::hash<uint32_t> {}(p.max_iterations));
            hash_combine(seed, std::hash<float> {}(p.eigen_threshold));
            hash_combine(seed, std::hash<float> {}(p.error_threshold));
        } else if constexpr (std::is_same_v<T, FindContoursParams>) {
            hash_combine(seed, std::hash<float> {}(p.min_area));
            hash_combine(seed, std::hash<uint32_t> {}(p.max_contours));
            hash_combine(seed, std::hash<uint32_t> {}(p.max_points_per_contour));
            hash_combine(seed, std::hash<bool> {}(p.as_image));
        } else if constexpr (std::is_same_v<T, ConnectedComponentsParams>) {
            hash_combine(seed, std::hash<bool> {}(p.export_labels));
            hash_combine(seed, std::hash<bool> {}(p.with_colors));
        }
    },
        params);
 
    return seed;
}

References MayaFlux::Reflect::enum_to_string(), and hash_combine().

Referenced by MayaFlux::Yantra::VisionGpuExecutor::run().

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