ayo
a617c818de
network natively on HIP with Vulkan->HIP shared memory, extend K kernels to
gfx11 (RDNA3), and add dependency/packaging/test tooling around them.
Windows: FSR RR backend, native HIP K runner, gfx11 K kernels, tooling
FSR Ray Regeneration (experimental)
- Add fsr_rr_backend.{h,cpp}, fsr_rr_passes.h and the fsr_rr/ prepare and
compose compute shaders. They run AMD's FidelityFX denoiser
(amd_fidelityfx_denoiser_dx12.dll, SDK 2.3, not bundled) on a private
vkd3d-proton device.
- Add the amdxc64 shim (tools/windows/amdxc64_shim) and two vkd3d-proton
patches for libcxx includes. AMD's amdxc64.dll is never loaded.
- d4r_nvngx_windows: RrFeature now selects between the native DLSS RR
backend and the FSR backend (D4R_RR_BACKEND=fsr). After the denoiser it
runs an internal Super Sampling stage (feature 1) to upscale. If SR is
unavailable and output != render size, the frame fails; it is never
returned noisy.
- d4r.ini / player_config: new [RayReconstruction] FsrDenoiser,
FsrStabilityBias (auto or >= 0) and FsrDetail (0-1), with validation, and
matching D4R_FSR_* environment variables.
- Add the FSR RR fixture, output-check and ngx test scripts, and a shader
compile script.
Native HIP K runner (Windows)
- CMake: add d4r_engine_k_hip (d4r-k-hip) plus separate volk/engine copies,
because VK_USE_PLATFORM_WIN32_KHR changes volk's entry points.
- Share Vulkan memory with HIP via Win32 opaque handles on Windows
(VK_KHR_external_memory_win32) and via fds on Linux. Handle types are now
intptr_t, and the platform choice is in D4R_EXT_MEMORY_* macros.
- HipNetwork: add debugRepeatHashes and debugNodeMicros, exposed as
D4R_HIP_REPEAT_CHECK, D4R_HIP_REPEAT_ALL and D4R_HIP_NODE_PROFILE in
replay.cpp.
- replay.cpp: display-resolution-motion frames (FrameFlagDisplayMotion) no
longer require near2rnd == out2rnd. Both values must still be in (0, 1].
K kernels on gfx11
- Allow position-token and enc1 tiling on __GFX11__ as well as gfx12.
- Add an opt-in ds_bpermute cross-half exchange
(D4R_WINDOWS_GFX11_DS_EXCHANGE, enabled for K on Windows gfx11). M keeps
its LDS path.
- Fix a block-barrier race in the position layer. Without POS_VSHARE a fast
wave could overwrite its hb rows while a slower wave still read them for a
later head, giving rare wrong results on gfx1101 (enc0 outputs differing
between identical launches).
Packaging and install
- install.bat, d4r.ini, WINDOWS_README: FSR option, and
install_dependencies.py to install pinned NVIDIA dependencies with staged,
hash-verified replacement and rollback.
- Update the release package, local package refresh and test scripts.
- Add the InteropBatchInputCopies option (default false). Batching is faster
on some synthetic runs, but player temporal exactness is unresolved.
Tooling and tests
- K model: capture_k_weights, build_k_model, compare_k_outputs,
benchmark_k_hip, build_capture_runtime, test_k_model and the
zluda-k-output-capture patch. Captured weights and models are private
local assets and must not enter release archives.
- Synthetic probes: test_m_ngx, test_sr_dynamic,
prepare_rr_dynamic_fixture and the d3d12/rr_ngx probe updates.
- Add tests/windows/test_install_dependencies.py.
Docs
- Update the windows-fsr-rr, k-performance, local-package, rr-interop and
rr-model-cache docs. Add windows-parity-handoff.md and
windows-parity-continuation-prompt.md.
79 lines
3.8 KiB
Python
79 lines
3.8 KiB
Python
"""Run a bounded synthetic Vulkan K model smoke. No NGX, CUDA or game inference.
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Authentic captured weights do not make the generated scene a quality reference.
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Reports GPU dispatch validity separately from model provenance and game parity.
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"""
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import argparse
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import hashlib
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import json
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import os
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from pathlib import Path
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import struct
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import subprocess
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import sys
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def main():
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repo = Path(__file__).resolve().parents[2]
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parser = argparse.ArgumentParser(description=__doc__)
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for name in ('runner', 'model', 'output'):
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parser.add_argument('--' + name, required=True, type=lambda p: Path(p).resolve())
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args = parser.parse_args()
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if args.output.exists() or not args.output.is_relative_to((repo / 'build').resolve()):
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parser.error('use fresh output under ignored build/')
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cache = json.loads((args.model / 'windows-k-model-cache.json').read_text())
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for name, expected in cache['products'].items():
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if Path(name).name != name or hashlib.sha256((args.model / name).read_bytes()).hexdigest() != expected:
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raise RuntimeError('Compiled K model product changed')
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args.output.mkdir(parents=True)
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rw = rh = 128
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ow = oh = 256
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color, depth = bytearray(), bytearray()
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for y in range(rh):
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for x in range(rw):
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u, v = x / (rw - 1), y / (rh - 1)
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color += struct.pack('<4e', .1 + .7 * u, .1 + .6 * v, .2 + .3 * u * v, 1)
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depth += struct.pack('<f', .5)
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(args.output / 'color.bin').write_bytes(color)
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(args.output / 'depth.bin').write_bytes(depth)
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(args.output / 'motion.bin').write_bytes(bytes(rw * rh * 4))
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lines = [f'output {ow} {oh}']
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for index, (name, channels, bits) in enumerate((('color', 4, 16), ('motion', 2, 16), ('depth', 1, 32))):
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lines.append(f'image {index} {json.dumps(str(args.output / (name + ".bin")))} {rw} {rh} {channels} {bits}')
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for frame in range(4):
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lines.append(f'frame_auto 0 1 2 1 1 1 {int(frame == 0)} 0 0 0 0 0 0 1.37')
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case = args.output / 'case.txt'
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case.write_text('\n'.join(lines) + '\n')
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env = {key:value for key,value in os.environ.items() if not key.startswith('D4R_')}
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report = dict(passed=False, synthetic=True, authenticCapturedWeights=True, qualityReference=False,
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gameAccessed=False, cudaNgxInference=False, model=str(args.model),
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runnerSha256=hashlib.sha256(args.runner.read_bytes()).hexdigest())
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try:
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with (args.output / 'stdout.log').open('wb') as out, (args.output / 'stderr.log').open('wb') as err:
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result = subprocess.run([str(args.runner), str(args.model), str(case), str(args.output / 'frames')],
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env=env, stdout=out, stderr=err, timeout=180)
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if result.returncode:
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raise RuntimeError('Native K runner failed; inspect logs')
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sys.path.insert(0, str(repo / '.tools/python/vendor'))
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import numpy as np
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outputs = sorted((args.output / 'frames').glob('frame-*.312.bin'))
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if len(outputs) != 4:
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raise RuntimeError('Incomplete native K output set')
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for path in outputs:
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values = np.fromfile(path, '<f2')
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if values.size != ow * oh * 4 or not np.isfinite(values).all() or float(np.ptp(values.astype('f4').reshape(-1, 4)[:, :3])) < 1e-5:
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raise RuntimeError('Invalid native K output: ' + path.name)
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report.update(passed=True, frames=4, finiteNonuniform=True,
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outputs={p.name:hashlib.sha256(p.read_bytes()).hexdigest() for p in outputs},
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gpuTimeParity=False, gameValidated=False)
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print(json.dumps(report, indent=2))
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except Exception as error:
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report['error'] = str(error)
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raise
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finally:
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(args.output / 'validation.json').write_text(json.dumps(report, indent=2) + '\n')
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if __name__ == '__main__':
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main()
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