Jungfraujoch/image_analysis/scale_merge/RotationScaleMergeGPU.h

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only

#pragma once

#include <cstdint>
#include <memory>
#include <optional>
#include <vector>

// GPU engine for the RotationScaleMerge hot loops. The class keeps the per-observation data resident on
// the device as a structure-of-arrays (coalesced) and runs the scaling loop there. The host keeps the
// one-time raw-hkl sort and the per-space-group ASU keying (gemmi); it hands the GPU the dense group ids
// plus a group-ordered permutation so the per-group reduction is a deterministic segmented reduction
// (one block per group, fixed order, no atomics) - matching the run-to-run determinism of the CPU path.
//
// Only compiled when CUDA is available; the header is safe to include unconditionally (the impl behind
// the pimpl is null without CUDA, and RotationScaleMerge falls back to the CPU loops).
class RotationScaleMergeGPU {
public:
    RotationScaleMergeGPU();
    ~RotationScaleMergeGPU();
    RotationScaleMergeGPU(const RotationScaleMergeGPU &) = delete;
    RotationScaleMergeGPU &operator=(const RotationScaleMergeGPU &) = delete;

    // True if a GPU was found and the engine is usable.
    [[nodiscard]] bool Available() const;

    // Upload the immutable per-observation fields (once). Arrays are length n_obs unless noted; the
    // frame CSR (frame_start/frame_count) is length n_frames and indexes the obs arrays in frame order.
    void SetPartials(int n_obs, int n_frames,
                     const float *I, const float *sigma, const float *rlp, const float *partiality,
                     const float *zeta, const uint8_t *on_ice, const int32_t *frame,
                     const float *corr0,
                     const int32_t *frame_start, const int32_t *frame_count);

    // Per space group: the dense ASU-group id per obs, and a group-ordered permutation of the obs whose
    // group >= 0 (group_perm), with its CSR (group_start/group_count, length n_groups) - so each group's
    // observations are a contiguous, fixed-order segment for the reduction.
    void SetGroups(int n_groups, const int32_t *group,
                   const int32_t *group_perm, int n_group_perm,
                   const int32_t *group_start, const int32_t *group_count);

    // Re-upload the working corr (length n_obs) before a scaling pass (the host mutates it via smooth-G
    // between passes). SetPartials uploads the initial corr; this refreshes it.
    void SetCorr(const float *corr);

    // Run `iters` of {reduce group means -> per-frame robust IRLS G -> update corr} on the device,
    // in place on the resident corr. Rotation model (partiality folded via the stored partiality).
    void ScalePartials(int iters, double robust_k, double min_partiality, bool has_d_min);

    // Copy the updated corr back to the host (length n_obs), and the fitted per-frame G (length
    // n_frames, as double) plus the per-frame "was fitted" flag.
    void GetCorr(float *corr_out) const;
    void GetG(double *g_out, uint8_t *scaled_out) const;

    // --- 3D combine (partials -> fulls), all on the device ---

    // The per-obs fields the combine needs on top of the scaling inputs (image-local bkg, fractional
    // frame position for event contiguity, resolution). Uploaded once, alongside SetPartials.
    void SetCombineInputs(const float *bkg, const float *image_number, const float *d);

    // The one-time raw-hkl run layout (space-group-independent): the (raw h,k,l, image_number)-sorted
    // permutation of the obs, split into contiguous per-raw-hkl runs. Uploaded once in Ingest.
    void SetRawRuns(int n_runs, int n_perm, const int32_t *perm,
                    const int32_t *rawrun_start, const int32_t *rawrun_count,
                    const int32_t *rawrun_h, const int32_t *rawrun_k, const int32_t *rawrun_l);

    // Combine the resident partials (reading the current resident corr) into fulls on the device,
    // mirroring RotationScaleMerge::Combine: one thread per raw-hkl run splits its usable partials into
    // rocking events (frame gap <= 2), pools background, seeds F, does 3 de-biased Poisson reweights and
    // adds the capture-uncertainty term. rawrun_group (length n_runs) is the current space group's ASU
    // id per raw hkl (it becomes the full's group). Deterministic: fulls are emitted in raw-run-major,
    // event order (a count pass -> host prefix sum -> emit-at-offset), matching the CPU path. Returns the
    // number of fulls (call GetFulls with buffers of that length).
    int Combine(const int32_t *rawrun_group, double min_partiality, double capture_uncertainty_coeff);

    // Download the combined fulls SoA (length = Combine()'s return). corr/partiality/rlp are 1 by
    // construction and not returned; the caller sets them.
    void GetFulls(int32_t *h, int32_t *k, int32_t *l, float *I, float *sigma, float *d,
                  float *image_number, int32_t *frame, uint8_t *on_ice, int32_t *group) const;

private:
    struct Impl;
    std::unique_ptr<Impl> impl_;
};