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v1.0.0-rc.176 (#86)
* jfjoch_broker: Optional live Rugnux analysis of DECTRIS rotation collections inside the broker, with merged data, maps and the placed model written beside the master file, the rotation lattice in the scan result, and a "Rugnux live" tab and dashboard row in the web frontend.
* Rugnux: Faster processing, with molecular replacement and model validation spread over several GPUs and run on the Apple GPU on macOS.
* Rugnux: The polarization stated in miniCBF and d*TREK headers is used, twinned crystals' space groups are decided more reliably, and a run that finds no lattice still reports every image.

Reviewed-on: #86
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-19 07:03:28 +02:00

258 lines
12 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
// The reflection list follows ReciprocalGrid::prepare_asu_data() of GEMMI's recgrid.hpp
// (https://github.com/project-gemmi/gemmi/blob/master/include/gemmi/recgrid.hpp)
// (c) Global Phasing Ltd., Mozilla Public License Version 2.0
#include "ModelStructureFactorsGPU.h"
#include <algorithm>
#include <cmath>
#include "gemmi/fourier.hpp" // get_size_for_hkl, get_f_phi_on_grid
#include "gemmi/solmask.hpp" // SolventMasker, refmac_radius_for_bulk_solvent
#include "RigidBodyRefine.h" // RigidBodyZoneGrid
namespace {
using Table = gemmi::IT92<float>;
// The density calculator model validation grids F_calc with: d_min, rate 1.5 and the blur gemmi's
// set_refmac_compatible_blur() gives this model.
gemmi::DensityCalculator<Table, float> Calculator(const gemmi::Model &model, const gemmi::UnitCell &cell,
const gemmi::SpaceGroup &sg, double d_min) {
gemmi::DensityCalculator<Table, float> dc;
dc.d_min = d_min;
dc.rate = 1.5;
dc.grid.unit_cell = cell;
dc.grid.spacegroup = &sg;
dc.set_refmac_compatible_blur(model);
return dc;
}
// The reflections prepare_asu_data(d_min) lists for the half-l transform of an (nu, nv, nw) grid, in its
// order (h, then k, then l ascending): in the group's reciprocal ASU, strictly inside d_min, inside the
// grid's Nyquist box, not systematically absent and not 000.
std::vector<gemmi::Miller> AsuReflections(const gemmi::UnitCell &cell, const gemmi::SpaceGroup &sg, double d_min,
int nu, int nv, int nw) {
const gemmi::Miller lim = cell.get_hkl_limits(d_min);
const int max_h = std::min((nu - 1) / 2, lim[0]);
const int max_k = std::min((nv - 1) / 2, lim[1]);
const int max_l = std::min(nw / 2, lim[2]);
const double max_1_d2 = 1.0 / (d_min * d_min);
const gemmi::ReciprocalAsu asu(&sg);
const gemmi::GroupOps gops = sg.operations();
std::vector<gemmi::Miller> rows;
gemmi::Miller hkl;
for (hkl[0] = -max_h; hkl[0] <= max_h; ++hkl[0])
for (hkl[1] = -max_k; hkl[1] <= max_k; ++hkl[1])
for (hkl[2] = -max_l; hkl[2] <= max_l; ++hkl[2])
if (asu.is_in(hkl) && cell.calculate_1_d2(hkl) < max_1_d2 && !gops.is_systematically_absent(hkl) &&
!(hkl[0] == 0 && hkl[1] == 0 && hkl[2] == 0))
rows.push_back(hkl);
return rows;
}
} // namespace
void ModelDensityAtoms(const gemmi::Model &model, const gemmi::DensityCalculator<Table, float> &dc,
std::vector<ModelDensityAtom> &atoms, std::vector<int> &mask_atom,
std::vector<float> &mask_radius) {
atoms.clear();
mask_atom.clear();
mask_radius.clear();
const gemmi::SolventMasker masker(gemmi::AtomicRadiiSet::Refmac);
int index = 0;
for (const gemmi::Chain &ch : model.chains)
for (const gemmi::Residue &r : ch.residues)
for (const gemmi::Atom &atom : r.atoms) {
using CReal = Table::Coef::coef_type;
const auto &coef = Table::get(atom.element, atom.charge, atom.serial);
const float addend = dc.addends.get(atom.element);
ModelDensityAtom a{};
a.occ = atom.occ;
a.aniso = atom.aniso.nonzero();
if (!a.aniso) {
const CReal b = static_cast<CReal>(atom.b_iso + dc.blur);
const auto precal = coef.precalculate_density_iso(b, addend);
const double radius = dc.estimate_radius(precal, b);
a.radius = static_cast<float>(radius);
a.max_r2 = static_cast<float>(radius * radius);
for (int k = 0; k < 5; k++) {
a.a[k] = precal.a[k];
a.b[k][0] = precal.b[k];
}
} else {
const auto aniso_b = atom.aniso.scaled(CReal(gemmi::u_to_b())).added_kI(CReal(dc.blur));
const CReal b_max = std::max(std::max(aniso_b.u11, aniso_b.u22), aniso_b.u33);
const double radius = dc.estimate_radius(coef.precalculate_density_iso(b_max, addend), b_max);
a.radius = static_cast<float>(radius);
a.max_r2 = static_cast<float>(radius * radius);
const auto precal = coef.precalculate_density_aniso_b(aniso_b, addend);
for (int k = 0; k < 5; k++) {
a.a[k] = precal.a[k];
const gemmi::SMat33<float> &m = precal.b[k];
const float e[6] = {m.u11, m.u22, m.u33, m.u12, m.u13, m.u23};
std::copy(e, e + 6, a.b[k]);
}
}
atoms.push_back(a);
if (!((masker.ignore_hydrogen && atom.is_hydrogen()) ||
(masker.ignore_zero_occupancy_atoms && atom.occ <= 0))) {
mask_atom.push_back(index);
mask_radius.push_back(static_cast<float>(
masker.constant_r + masker.rprobe + gemmi::refmac_radius_for_bulk_solvent(atom.element.elem)));
}
++index;
}
}
ModelStructureFactorsGPU::ModelStructureFactorsGPU(int device, const gemmi::Model &model, const gemmi::UnitCell &cell,
const gemmi::SpaceGroup &sg, double d_min)
: device_(device), device_total_(ModelStructureFactorsGPUEngine::TotalMemory(device)), cell_(cell), sg_(&sg), d_min_(d_min), dc_(Calculator(model, cell, sg, d_min)) {
const gemmi::Grid<float> grid = RigidBodyZoneGrid(cell, sg, d_min); // DensityCalculator's for d_min
setup_.grid.nu = grid.nu;
setup_.grid.nv = grid.nv;
setup_.grid.nw = grid.nw;
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
setup_.grid.orth[3 * i + j] = cell.orth.mat[i][j];
setup_.grid.frac[3 * i + j] = cell.frac.mat[i][j];
}
setup_.volume = cell.volume;
const gemmi::GroupOps gops = sg.operations();
setup_.den = gemmi::Op::DEN;
for (const gemmi::Op &op : gops.sym_ops) {
std::array<int, 12> o{};
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 3; j++)
o[3 * i + j] = op.rot[i][j];
o[9 + i] = op.tran[i];
}
setup_.sym_ops.push_back(o);
}
for (const gemmi::Op::Tran &cen : gops.cen_ops)
for (const gemmi::Op &op : gops.sym_ops) {
ModelMaskOp m{};
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 3; j++)
m.rot[3 * i + j] = static_cast<double>(op.rot[i][j]) / gemmi::Op::DEN;
m.tran[i] = static_cast<double>(op.tran[i] + cen[i]) / gemmi::Op::DEN;
}
setup_.mask_ops.push_back(m);
}
rows_ = AsuReflections(cell, sg, d_min, grid.nu, grid.nv, grid.nw);
const double n_cen = static_cast<double>(gops.cen_ops.size());
for (const gemmi::Miller &h : rows_) {
setup_.rows.push_back({h[0], h[1], h[2]});
// prepare_asu_data()'s unblur, exp(B_blur |s|^2 / 4)
setup_.row_scale.push_back(n_cen * std::exp(dc_.blur * 0.25 * cell.calculate_1_d2(h)));
}
std::vector<ModelDensityAtom> atoms;
std::vector<int> mask_atom;
std::vector<float> mask_radius;
ModelDensityAtoms(model, dc_, atoms, mask_atom, mask_radius);
setup_.max_atoms = atoms.size();
setup_.max_pairs = ModelDensityGPU::PairBound(setup_.grid, atoms);
supported_ = !rows_.empty() && ModelDensityGPU::Supports(setup_.grid, atoms) &&
setup_.mask_ops.size() <= ModelMaskGPU::MAX_OPS;
if (!supported_)
return;
// The largest map: Map()'s coefficients are on a subset of these reflections, and get_size_for_hkl()
// only grows with the indices and the resolution it is given.
gemmi::AsuData<std::complex<float>> all;
all.unit_cell_ = cell;
all.spacegroup_ = &sg;
for (const gemmi::Miller &h : rows_)
all.v.push_back({h, {1.0f, 0.0f}});
map_size_ = gemmi::get_size_for_hkl(all, {{0, 0, 0}}, 3.0);
// MapFromFPhi() transforms a half-l grid of nw / 2 + 1 planes back to 2 (nw / 2) of them.
const int map_nw = 2 * (map_size_[2] / 2);
setup_.map_points = static_cast<size_t>(map_size_[0]) * map_size_[1] * map_nw;
setup_.map_complex_points = static_cast<size_t>(map_size_[0]) * map_size_[1] * (map_nw / 2 + 1);
fft_work_bytes_ = ModelStructureFactorsGPUEngine::FFTWorkBytes(device_, setup_.grid, map_size_[0], map_size_[1], map_nw);
device_bytes_ = ModelStructureFactorsGPUEngine::DeviceBytes(setup_, fft_work_bytes_);
}
ModelStructureFactorsGPU::~ModelStructureFactorsGPU() = default;
void ModelStructureFactorsGPU::Reserve() {
std::lock_guard lock(m_);
if (!engine_)
engine_ = std::make_unique<ModelStructureFactorsGPUEngine>(device_, setup_, fft_work_bytes_);
}
void ModelStructureFactorsGPU::Compute(const gemmi::Model &model, gemmi::AsuData<std::complex<float>> &fcalc,
gemmi::AsuData<std::complex<float>> &fmask) {
std::vector<ModelDensityAtom> atoms;
std::vector<int> mask_atom;
std::vector<float> mask_radius;
ModelDensityAtoms(model, dc_, atoms, mask_atom, mask_radius);
// Each atom in grid units, as the CPU's density walk centres it (MakeDensityBox, ModelGrid.cpp), and, for
// the mask, fractional and wrapped into the cell.
const int n3[3] = {setup_.grid.nu, setup_.grid.nv, setup_.grid.nw};
std::vector<std::array<float, 4>> pos;
std::vector<std::array<double, 3>> frac;
for (const gemmi::Chain &ch : model.chains)
for (const gemmi::Residue &r : ch.residues)
for (const gemmi::Atom &a : r.atoms) {
const gemmi::Fractional f0 = cell_.fractionalize(a.pos);
std::array<double, 3> f{f0.x, f0.y, f0.z};
std::array<float, 4> g{};
for (int k = 0; k < 3; k++) {
g[k] = static_cast<float>(f[k] * n3[k]);
f[k] -= std::floor(f[k]);
if (f[k] >= 1.0) // a tiny negative coordinate wraps to 1 - epsilon, which rounds to 1
f[k] = 0.0;
}
frac.push_back(f);
pos.push_back(g);
}
std::vector<ModelMaskAtom> mask_atoms;
for (size_t j = 0; j < mask_atom.size(); j++) {
const std::array<double, 3> &f = frac[mask_atom[j]];
mask_atoms.push_back({f[0], f[1], f[2], mask_radius[j]});
}
std::vector<std::array<float, 2>> fc, fm;
{
std::lock_guard lock(m_);
engine_->Compute(atoms, pos, mask_atoms, fc, fm);
}
fcalc.v.clear();
fmask.v.clear();
fcalc.v.reserve(rows_.size());
fmask.v.reserve(rows_.size());
for (size_t i = 0; i < rows_.size(); i++) {
fcalc.v.push_back({rows_[i], {fc[i][0], fc[i][1]}});
fmask.v.push_back({rows_[i], {fm[i][0], fm[i][1]}});
}
fcalc.unit_cell_ = fmask.unit_cell_ = cell_;
fcalc.spacegroup_ = fmask.spacegroup_ = sg_;
}
gemmi::Grid<float> ModelStructureFactorsGPU::Map(gemmi::AsuData<std::complex<float>> &coef) {
coef.ensure_sorted();
const std::array<int, 3> size = gemmi::get_size_for_hkl(coef, {{0, 0, 0}}, 3.0);
// ZYX: l fastest and halved, the layout a c2r transform takes, where gemmi's XYZ grid halves the slowest
// axis. The coefficients written are the same.
const gemmi::FPhiGrid<float> hkl = gemmi::get_f_phi_on_grid<float>(coef, size, true, gemmi::AxisOrder::ZYX);
gemmi::Grid<float> map;
map.spacegroup = coef.spacegroup_;
map.unit_cell = coef.unit_cell_;
// As MapFromFPhi(): 2 (nw - 1) planes back from nw stored ones.
map.set_size(size[0], size[1], 2 * (hkl.nu - 1));
map.axis_order = gemmi::AxisOrder::XYZ;
std::lock_guard lock(m_);
engine_->Map(map.nu, map.nv, map.nw, map.unit_cell.volume, reinterpret_cast<const float *>(hkl.data.data()),
map.data.data());
return map;
}