EstimateLikelihoodParameters fits each resolution bin on its own and writes only that bin's values, so the bins run under ParallelFor; the result is the same, bit for bit. It was the largest single stage of a refinement (107 calls, one core): 5reo 2.42 -> 0.56 s, 8dyz 2.46 -> 0.57 s, 9yl4 3.54 -> 0.88 s; whole refinement 5reo 6.3 -> 4.8 s, 8dyz 6.9 -> 5.3 s (RTX 5080, -N 8, loaded box). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu (cherry picked from commit 85aa34d3031c8e36be4462fca544bc801af45d5a) (cherry picked from commit d84ba55252adf455d5b4ba62052dfbafa6290a64)
139 lines
7.1 KiB
C++
139 lines
7.1 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <array>
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#include <chrono>
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#include <cstdint>
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#include <complex>
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#include <memory>
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#include <optional>
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#include <vector>
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#include "gemmi/grid.hpp"
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#include "gemmi/model.hpp"
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#include "gemmi/symmetry.hpp"
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#include "gemmi/unitcell.hpp"
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#include "../../common/Reflection.h" // MergedReflection
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#include "RefinementRestraints.h" // RestraintSet
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#include "RigidBodyRefine.h" // SymmetryComposition
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class Logger;
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// The X-ray side of restrained refinement (Refinement.h): the observed amplitudes, the model's structure
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// factors and the maximum-likelihood target that compares them, with its gradient with respect to every
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// atom's position and B.
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// The reflections a refinement fits and scores: the observed amplitudes, in the group's reciprocal ASU, that
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// the refinement grid composes (SymmetryComposition) - every observed one in practice.
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struct RefinementReflections {
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std::vector<gemmi::Miller> hkl;
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std::vector<float> fo, sigma;
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std::vector<char> free, centric;
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std::vector<float> epsilon;
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std::vector<double> inv_d2;
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size_t Size() const { return hkl.size(); }
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};
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// The French-Wilson amplitudes of `merged` (NaN dropped) into the ASU of `sg`, those the grid of
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// RigidBodyZoneGrid(cell, sg, d_min) composes.
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RefinementReflections PrepareRefinementReflections(const std::vector<MergedReflection> &merged,
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const gemmi::UnitCell &cell, const gemmi::SpaceGroup &sg,
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double d_min);
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// What turns the atoms' structure factors F into the model the target compares with the data, per reflection:
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// F_model = k_total (F + fmask),
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// with k_total the overall scale and anisotropic B and fmask the bulk solvent already scaled by k_sol
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// exp(-b_sol s^2/4); and the two parameters of the likelihood, D and the variance. Fixed for one macro-cycle.
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struct XrayRowModel {
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std::vector<float> k_total;
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std::vector<std::complex<float>> fmask;
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std::vector<float> d, var;
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};
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// The ML parameters per reflection from the free reflections: D and beta fitted by maximum likelihood in
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// resolution bins of the free set and interpolated between the bins' centres; the variance of a reflection is
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// epsilon beta + sigma^2. `fmodel` is k_total (F + fmask), without D.
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// Following Lunin & Skovoroda (1995) Acta Cryst. A51, 880-887, and Afonine et al. (2012) Acta Cryst. D68, 352-367
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void EstimateLikelihoodParameters(const RefinementReflections &refl, const std::vector<std::complex<float>> &fmodel,
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XrayRowModel &rows, size_t nthreads = 1);
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// R-work and R-free of k_total (F + fmask) against the observations.
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struct RFactors {
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double r_work = 1, r_free = 1;
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int n_work = 0, n_free = 0;
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};
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RFactors ComputeRFactors(const RefinementReflections &refl, const std::vector<std::complex<float>> &fmodel);
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// What evaluates the targets for a set of atom positions and B: the CPU below, or a GPU (RefinementGPU.h). The
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// atoms are the model's, all of them, in model order; the grid and the reflections are fixed when the engine is
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// made, the row model each macro-cycle, the blur where SetBlur is called.
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class RefinementEngine {
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public:
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virtual ~RefinementEngine() = default;
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// The blur the atoms are gridded with (DensityCalculator's), and the matching unblur of their transform.
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// Every atom's B must stay above what the blur was chosen for (RefinementBlur) while it is in use.
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virtual void SetBlur(double blur) = 0;
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virtual void SetRowModel(const XrayRowModel &rows) = 0;
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// F of the atoms at the reflections.
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virtual void Fcalc(const gemmi::Model &model, std::vector<std::complex<float>> &f) = 0;
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// The bulk-solvent mask's structure factors at the reflections (unscaled).
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virtual void Fmask(const gemmi::Model &model, std::vector<std::complex<float>> &f) = 0;
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// The sum of -ln L over the working reflections and, with `grad`, its derivatives with respect to every
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// atom's x, y, z (Cartesian, A) and B (A^2), in model order.
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virtual double Evaluate(const gemmi::Model &model, std::vector<std::array<double, 4>> *grad) = 0;
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virtual bool OnGPU() const = 0;
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// Restraint set `which` (0: the geometry and the repulsions, 1: the B similarity) and its sum of E at xyzb
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// (x, y, z, B per atom) with, given `grad`, dE/d(x, y, z, B) per atom. On the CPU unless the engine has its own.
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virtual void SetRestraints(int which, const RestraintSet &set) { restraints_[which] = set; }
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virtual double EvaluateRestraints(int which, const std::vector<std::array<double, 4>> &xyzb,
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std::vector<std::array<double, 4>> *grad) {
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if (grad != nullptr)
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grad->assign(xyzb.size(), {0, 0, 0, 0});
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return ::EvaluateRestraints(restraints_[which], xyzb, grad);
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}
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private:
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RestraintSet restraints_[2];
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};
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// The time a refinement spends in one stage, summed over every call (and over threads) until Log(): the scope of
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// an instance is one call, and an NVTX range of the stage's name.
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class RefinementStage {
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public:
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explicit RefinementStage(const char *name);
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~RefinementStage();
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RefinementStage(const RefinementStage &) = delete;
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RefinementStage &operator=(const RefinementStage &) = delete;
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// "TIMING refine.<stage> <seconds> <calls>" per stage at debug level, then the sums start again.
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static void Log(Logger &logger);
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private:
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const char *name_;
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std::chrono::steady_clock::time_point start_;
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uint64_t nvtx_;
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};
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// The blur for a model whose smallest B may go as low as b_floor: DensityCalculator's
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// set_refmac_compatible_blur() for that B, on the refinement grid of d_min.
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double RefinementBlur(const gemmi::UnitCell &cell, const gemmi::SpaceGroup &sg, double d_min, double b_floor);
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// The CPU engine: the density of one copy of the atoms on the grid of RigidBodyZoneGrid(cell, sg, d_min)
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// (PutModelDensityOnGrid), its transform and the crystal's symmetry composed in reciprocal space
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// (SymmetryComposition). The gradient by the FFT method: the derivative of the target with respect to each
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// structure factor, taken back to real space by one inverse transform, is a map; each atom's derivatives are
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// that map summed against the derivatives of its own density.
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// Following Agarwal (1978) Acta Cryst. A34, 791-809
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std::unique_ptr<RefinementEngine> MakeRefinementEngineCPU(const gemmi::UnitCell &cell,
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const gemmi::SpaceGroup &sg, double d_min,
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const RefinementReflections &refl, size_t nthreads);
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// The derivative map of the X-ray target on a grid (the FFT method's map), summed against each atom's density
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// derivatives: dT/d(x, y, z, B) per atom. `map` is u fastest on the grid of RigidBodyZoneGrid(), the atoms
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// gridded with `blur`. Exposed for the tests.
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void AtomGradientsFromMap(const gemmi::Grid<float> &map, const gemmi::Model &model, double blur, size_t nthreads,
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std::vector<std::array<double, 4>> &grad);
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