Build Packages / Create release (push) Successful in 24s
Build Packages / build:viewer:macos-arm64:nocuda (push) Successful in 3m29s
Build Packages / build:rugnux:macos-arm64:nocuda (push) Successful in 2m43s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 8m27s
Build Packages / build:rugnux:linux-x86_64:cuda (push) Successful in 9m53s
Build Packages / build:viewer:linux-x86_64:nocuda (push) Successful in 9m58s
Build Packages / build:viewer:linux-x86_64:cuda (push) Successful in 11m22s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 13m39s
Build Packages / build:viewer:windows-x86_64:nocuda (push) Successful in 18m37s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 16m32s
Build Packages / build:viewer:windows-x86_64:cuda (push) Successful in 24m11s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 25m30s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 19m3s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 20m23s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 19m41s
Build Packages / Generate python client (push) Successful in 50s
Build Packages / Build documentation (push) Successful in 1m16s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 21m0s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 18m38s
Build Packages / build:rugnux:windows-x86_64:cuda (push) Successful in 14m33s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 17m55s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 20m50s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 18m38s
Build Packages / Unit tests (push) Successful in 1h46m14s
* jfjoch_broker: Optional per-dataset authentication - statistics, images and plots can require a bearer token, which jfjoch_viewer supports. * jfjoch_viewer: Dark mode and a theme-matched colour scheme, a magnifier panel, and simpler contrast and background controls. * Rugnux: Multiple performance improvements on GPU and CPU (CPU-only processing up to 40% faster, faster image decoding on ARM), with unchanged results. * Rugnux: `--model` rigid-body refinement runs on the GPU, and the model-validation check is faster and more reliable. * Rugnux: Improved scaling and merging - error model, outlier rejection, absorption correction and French-Wilson amplitudes now agree more closely with XDS and ctruncate. * Rugnux: Improved integration - radial background on powder and ice rings, crowded rotation data keep their reflections, and CPU-only builds integrate large unit cells as GPU builds do. * Rugnux: More robust detector geometry - measured beam centre, X-ray bandwidth and goniometer rate, and geometry refinement accepted only on significant evidence. * Rugnux: Merged files are written in the standard setting, or in the setting of a reference MTZ, structure-factor mmCIF or model, with its free-R flags. * Rugnux: Richer report - ice and powder rings, further lattices, superstructure candidates and mosaicity, with warnings worded as prompts to check. * Rugnux: Clear error messages when a data set needs more GPU or host memory than is available. Reviewed-on: #83 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
142 lines
6.7 KiB
C++
142 lines
6.7 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
|
|
// SPDX-License-Identifier: GPL-3.0-only
|
|
|
|
#pragma once
|
|
|
|
#include <cstdint>
|
|
#include <map>
|
|
#include <memory>
|
|
#include <optional>
|
|
#include <string>
|
|
#include <utility>
|
|
#include <vector>
|
|
|
|
#include "HDF5ImageLocator.h"
|
|
#include "../common/CompressedImage.h"
|
|
|
|
// Raw-pixel side of the reader. Turns a global image number into a CompressedImage, using
|
|
// HDF5ImageLocator to find the file (with its open-file cache). This is the part whose "links
|
|
// to files stay" constant: switching which master the per-image metadata is read from never
|
|
// touches it. Caller must hold the global hdf5_mutex (HDF5 is not thread-safe).
|
|
// Bit depth and signedness of /entry/data/data as it is STORED. Deliberately not the same thing as
|
|
// the experiment's image format: the reader hands every image out in a signed 32-bit container
|
|
// whatever the file holds (see HDF5MetadataSource), so an output file that links to the original
|
|
// images rather than writing its own must describe them with this, not with the experiment.
|
|
struct StoredPixelFormat {
|
|
int64_t bit_depth = 0;
|
|
bool is_signed = false;
|
|
};
|
|
|
|
class HDF5ImageSource {
|
|
public:
|
|
// Plain positional-read handle on a data file, opened alongside the HDF5 one. Owns the handle.
|
|
class RawFile {
|
|
public:
|
|
explicit RawFile(const std::string &path);
|
|
~RawFile();
|
|
RawFile(const RawFile &) = delete;
|
|
RawFile &operator=(const RawFile &) = delete;
|
|
|
|
bool IsOpen() const { return handle_ != -1; }
|
|
// Read `size` bytes from byte `address`. Positional and stateless, so any number of threads
|
|
// may call it on the same handle at once. Throws on a short read.
|
|
void ReadAt(void *dst, size_t size, uint64_t address) const;
|
|
|
|
private:
|
|
intptr_t handle_ = -1; // a file descriptor on POSIX, a HANDLE on Windows
|
|
};
|
|
|
|
// Where the bytes of one image are, and what they decode to. Everything needed to read an image
|
|
// without calling HDF5 again.
|
|
struct DirectChunk {
|
|
// Shared, not borrowed: GetRawImage drops the HDF5 lock before reading through this, so a
|
|
// concurrent Clear() - which ReadFile() and Close() both do - would otherwise free the file
|
|
// and close its descriptor under the reader.
|
|
std::shared_ptr<const RawFile> file;
|
|
uint64_t address = 0;
|
|
uint32_t size = 0;
|
|
hsize_t width = 0;
|
|
hsize_t height = 0;
|
|
CompressedImageMode mode{};
|
|
CompressionAlgorithm algorithm = CompressionAlgorithm::NO_COMPRESSION;
|
|
};
|
|
|
|
void Configure(HDF5ImageLocator::Layout layout);
|
|
void Clear();
|
|
|
|
[[nodiscard]] StoredPixelFormat GetStoredPixelFormat() const;
|
|
|
|
// Where image `global` physically lives. Also used by the metadata source to find the data
|
|
// file that holds a legacy/VDS image's per-image metadata.
|
|
HDF5ImageLocator::Location Resolve(int64_t global) const;
|
|
|
|
// Read the pixels at a resolved location into a CompressedImage backed by `buffer`. Templated on
|
|
// the allocator so a caller can hand over a buffer that does not zero what it is about to
|
|
// overwrite (RawByteBuffer).
|
|
template<class Alloc>
|
|
CompressedImage ReadImageAt(std::vector<uint8_t, Alloc> &buffer, const HDF5ImageLocator::Location &loc) const {
|
|
const auto &ds = GetDataset(loc);
|
|
std::vector<hsize_t> start = {static_cast<hsize_t>(loc.local_index), 0, 0};
|
|
std::vector<hsize_t> size = {1, ds.height, ds.width};
|
|
if (ds.multichannel) {
|
|
start.insert(start.begin() + 1, loc.channel);
|
|
size.insert(size.begin() + 1, 1);
|
|
}
|
|
|
|
if (ds.direct_chunk)
|
|
ds.dataset->ReadDirectChunk(buffer, start);
|
|
else
|
|
ds.dataset->ReadVectorToU8(buffer, start, size);
|
|
|
|
return {buffer.data(), buffer.size(), ds.width, ds.height, ds.mode, ds.algorithm};
|
|
}
|
|
|
|
// Ask HDF5 where image `loc` is in the file rather than asking it for the image. This is a
|
|
// lookup in the chunk index and nothing else - no read - so the mutex is held for a fraction of
|
|
// what an actual read costs, and the read itself then happens on any number of threads at once
|
|
// through ReadDirect(). Caller must hold hdf5_mutex.
|
|
//
|
|
// Empty when this file cannot be served that way: one chunk per image is what makes an image a
|
|
// single contiguous run of bytes, and a chunk that has never been written has no address at all.
|
|
// The caller falls back to ReadImageAt() then.
|
|
std::optional<DirectChunk> PrepareDirectRead(const HDF5ImageLocator::Location &loc) const;
|
|
|
|
// Read what PrepareDirectRead() found. Touches no HDF5 and no shared state, so it needs no
|
|
// mutex; this is the whole point of the two-step split.
|
|
static CompressedImage ReadDirect(RawByteBuffer &buffer, const DirectChunk &chunk);
|
|
|
|
std::vector<HDF5DataSourceMessage> GetSourceMapping(uint64_t first_image,
|
|
std::optional<uint64_t> image_count,
|
|
uint64_t total_images,
|
|
uint64_t stride = 1) const;
|
|
|
|
private:
|
|
HDF5ImageLocator locator_;
|
|
|
|
// /entry/data/data and everything asked of it here - its rank and dimensions, its element type,
|
|
// its chunking, its compression - are properties of the file, identical for every image in it.
|
|
// They used to be looked up again for each image: four HDF5 object opens per frame, inside the
|
|
// global hdf5_mutex that every worker thread queues on. Resolve them once per file instead.
|
|
//
|
|
// The entry keeps the file alive, so the pointer it is keyed by cannot be recycled underneath it
|
|
// and the dataset handle cannot outlive the file it belongs to.
|
|
struct OpenDataset {
|
|
std::shared_ptr<HDF5ReadOnlyFile> file;
|
|
std::unique_ptr<HDF5DataSet> dataset;
|
|
std::shared_ptr<RawFile> raw;
|
|
// HDF5 addresses count from the end of the user block, so they are file offsets only once
|
|
// its size is added. Zero for everything this project writes, but not for every file.
|
|
uint64_t user_block = 0;
|
|
hsize_t width = 0;
|
|
hsize_t height = 0;
|
|
CompressedImageMode mode{};
|
|
CompressionAlgorithm algorithm = CompressionAlgorithm::NO_COMPRESSION;
|
|
bool direct_chunk = false;
|
|
bool multichannel = false; // 4D: [image, channel, y, x]
|
|
};
|
|
// Keyed by file AND dataset path: a master whose VDS sources are datasets in itself serves
|
|
// several of them out of one file, and keying by file alone would hand back the wrong one.
|
|
mutable std::map<std::pair<const HDF5ReadOnlyFile *, std::string>, OpenDataset> dataset_cache_;
|
|
const OpenDataset &GetDataset(const HDF5ImageLocator::Location &loc) const;
|
|
};
|