Files
d4r/tools/windows/benchmark_k_interop.py
T
ayo ac4ee6c225 Expand Windows GPU support, add native FSR RR, and improve SR interop
Add a native D3D12 FSR Ray Regeneration route for gfx1200/gfx1201,
using the game's device and queue with embedded HLSL guide preparation
and output composition. Preserve the vkd3d compatibility route for
RDNA3 and expose explicit route overrides and diagnostics.

Improve Windows runtime compatibility:
- Retry rejected application-ID initialization with a project identity.
- Defer expensive RR backend creation until feature creation.
- Recover from transient submission failures without disabling later frames.
- Add shared-buffer export fallbacks through explicit heaps and a private
  device on the same adapter.
- Safely evict old RR descriptor sets when input views change.
- Treat requested RR presets as hints when a configured model is available.
- Expand SR/RR input formats and handle diffuse/specular hit distances,
  packed normals, depth-stencil resources, and unused FSR guides.

Reduce SR overhead by batching output downloads and format conversion
under one completion wait. Optimize strict M enc2/tube attention with
bounded FP32 accumulation and the original FP64 fallback for ambiguous
rounding cases.

Extend RDNA4 tooling with gfx1200/gfx1201 native FP8 RR model builds,
capability checks, architecture-aware deployment, and experimental K/M
kernel paths. Require matching model and runtime arithmetic families.

Add optional embedded FSR shader optimizations keyed by shader hash and
exact original SPIR-V contents. Preserve reflected metadata and record
optimizer provenance, artifact hashes, and cache identity.

Simplify Windows installation with automatic backend dependency downloads,
download progress and ETA, backed-up absolute OptiScaler library paths,
and recovery from interrupted RR model builds.

Add build-kernels.bat and a kernels-only build matrix for all eleven
registered RDNA targets, with code-object target validation and SHA256
manifests. Expand conversion probes, numerical stress tests, temporal
benchmark tooling, installer/deployment tests, and setup documentation.

Document synthetic regression and timing results, experimental build
options, and remaining RDNA4 hardware validation requirements.
2026-10-17 07:40:34 -04:00

211 lines
13 KiB
Python

"""Compare K/M interop and native candidates on identical alternating synthetic runs.
Uses an existing private runtime; never installs into a game. CPU interop timing
includes synchronization and NGX execution, and is not a GPU network-only time.
"""
import argparse
import hashlib
import json
import os
from pathlib import Path
import re
import statistics
import subprocess
import shutil
def main():
parser = argparse.ArgumentParser(description=__doc__)
for key in ('probe', 'shim', 'runtime', 'core', 'dlss', 'output'):
parser.add_argument('--' + key, type=lambda s: Path(s).resolve(), required=True)
parser.add_argument('--resolution', default='1920x1080')
parser.add_argument('--model', choices=('K', 'M'), default='K')
parser.add_argument('--pixel-profile', choices=('baseline', 'packed', 'unorm', 'depth-stencil'), default='baseline')
parser.add_argument('--candidate-shim', type=lambda s: Path(s).resolve(), help='compare a rebuilt shim with the same native kernels')
parser.add_argument('--candidate-batch-inputs', action='store_true', help='also batch input copies in candidate shim/native runs')
parser.add_argument('--input-resolution', help='defaults to nominal Quality (two-thirds per axis)')
parser.add_argument('--frames', type=int, default=16)
parser.add_argument('--timeout', type=int, default=300, help='per-process limit, including cold shader compilation')
parser.add_argument('--profile-stages', action='store_true',
help='diagnostic CPU stage logging; adds overhead to timings')
parser.add_argument('--candidate-native', type=lambda s: Path(s).resolve(),
help='compare an experimental native directory instead of input batching')
parser.add_argument('--control-native', type=lambda s: Path(s).resolve(),
help='use an explicit verified control kernel directory while retaining runtime dependencies')
parser.add_argument('--player-config', action='store_true', help='select batching/native paths through staged player INI')
parser.add_argument('--sequence', choices=('abba', 'controls', 'batches'), default='abba',
help='paired comparison, or repeated identical settings to diagnose baseline determinism')
parser.add_argument('--reset-every-frame', action='store_true', help='diagnose history dependence; not representative temporal performance')
parser.add_argument('--profile-kernels', action='store_true',
help='diagnostic deferred GPU events, allowing legacy-stream dependencies; timings are instrumented')
args = parser.parse_args()
if args.player_config and (args.profile_stages or args.profile_kernels):
parser.error('player mode clears diagnostic profiling flags; use a separate instrumented run')
if args.frames < 8 or args.frames > 120:
parser.error('frames must be 8..120')
if not re.fullmatch(r'[1-9][0-9]*x[1-9][0-9]*', args.resolution):
parser.error('resolution must be WIDTHxHEIGHT')
ow, oh = map(int, args.resolution.split('x'))
preset = 11 if args.model == 'K' else 13
comparing = bool(args.candidate_native or args.candidate_shim)
if args.candidate_batch_inputs and not comparing:
parser.error('--candidate-batch-inputs requires a candidate shim or native directory')
if not args.input_resolution:
args.input_resolution = f'{ow * 2 // 3}x{oh * 2 // 3}' if args.model == 'K' else f'{ow // 2}x{oh // 2}'
if not re.fullmatch(r'[1-9][0-9]*x[1-9][0-9]*', args.input_resolution):
parser.error('input-resolution must be WIDTHxHEIGHT')
build_root = Path(__file__).resolve().parents[2] / 'build'
if not args.output.is_relative_to(build_root.resolve()):
parser.error('output must stay under the repository ignored build directory')
args.output.mkdir(parents=True, exist_ok=False)
report = {'passed': False, 'resolution': args.resolution, 'warmupFrames': 4,
'inputResolution': args.input_resolution,
'stageProfiling': args.profile_stages,
'kernelProfiling': args.profile_kernels,
'model': args.model, 'pixelProfile': args.pixel_profile,
'comparison': 'shim' if args.candidate_shim else 'native kernels' if args.candidate_native else 'input batching',
'timing': 'CPU interop including NGX and synchronization', 'runs': []}
runtime = args.runtime
native = runtime / 'native'
if (native / 'gfx1101').is_dir():
native = native / 'gfx1101'
if args.control_native:
native = args.control_native
report['playerConfig'] = args.player_config
report['sequence'] = args.sequence
report['resetEveryFrame'] = args.reset_every_frame
report['candidateBatchInputs'] = args.candidate_batch_inputs
module = args.shim
if args.player_config:
runtime = args.output / 'player'
shutil.copytree(args.runtime, runtime)
module = runtime / 'd4r_nvngx.dll'
shutil.copy2(args.shim, module)
for source, relative in ((args.core, 'ngx/_nvngx.dll'), (args.dlss, 'dlss/nvngx_dlss.dll')):
destination = runtime / relative
destination.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(source, destination)
nvapi = runtime / 'nvapi/nvapi64.dll'
if not nvapi.is_file():
nvapi = runtime / 'nvapi/gfx1101/nvapi64.dll'
report['artifacts'] = {str(p): hashlib.sha256(p.read_bytes()).hexdigest()
for p in (args.probe, args.shim, args.core, args.dlss)}
if args.candidate_shim:
report['candidateShimSha256'] = hashlib.sha256(args.candidate_shim.read_bytes()).hexdigest()
report['nativeArtifacts'] = {p.name: hashlib.sha256(p.read_bytes()).hexdigest()
for p in sorted(native.glob('*')) if p.is_file()}
if args.candidate_native:
report['candidateNativeArtifacts'] = {p.name: hashlib.sha256(p.read_bytes()).hexdigest()
for p in sorted(args.candidate_native.glob('*')) if p.is_file()}
env = os.environ.copy()
# Keep profiling and arithmetic settings independent of the caller's shell.
for key in list(env):
if key.startswith('D4R_') or key in ('ZLUDA_LOG_DIR', 'ZLUDA_CACHE_DIR', 'ZLUDA_CUDA_LIB'):
del env[key]
env.update(HIP_PATH=str(runtime / 'hip'),
ZLUDA_CUDA_LIB=str(runtime / 'zluda/nvcuda.dll'),
D4R_NVAPI_BACKEND=str(runtime / 'nvapi/backend/nvapi64.dll'),
D4R_FORMAT_MODULE=str(runtime / 'pixel_convert_gfx1101.hsaco'),
D4R_ZLUDA_NATIVE_DIR=str(native),
D4R_ZLUDA_WMMA='1', D4R_ZLUDA_WMMA_FP8='1',
D4R_ZLUDA_WMMA_F16_REFERENCE='1', D4R_QUIET_API='1',
ZLUDA_CACHE_DIR=str(Path(os.environ['LOCALAPPDATA']) / 'd4r/cache'),
D4R_NGX_DATA_DIR=str(args.output / 'ngx-data'))
env['PATH'] = str(runtime / 'hip/bin') + os.pathsep + str(runtime / 'zluda') + os.pathsep + env['PATH']
if args.profile_stages:
env['D4R_PROFILE_STAGES'] = '1'
if args.profile_kernels:
env.update(D4R_ZLUDA_PROFILE_DEFERRED='1', D4R_ZLUDA_PROFILE_ALLOW_LEGACY='1',
D4R_ZLUDA_PROFILE_EVERY='1')
try:
reference = None
variants = {'abba': (False, True, True, False), 'controls': (False,) * 4, 'batches': (True,) * 4}
for index, batched in enumerate(variants[args.sequence]):
use_batch = batched and (not comparing or args.candidate_batch_inputs)
label = ('candidate' if comparing else 'batch') if batched else 'control'
output = args.output / f'{index}-{label}'
output.mkdir()
env['D4R_DIAG_DIR'] = str(output)
if use_batch:
env['D4R_BATCH_INPUT_COPIES'] = '1'
else:
env.pop('D4R_BATCH_INPUT_COPIES', None)
env['D4R_ZLUDA_NATIVE_DIR'] = str(args.candidate_native if batched and args.candidate_native else native)
if args.player_config:
config = (Path(__file__).resolve().parents[2] / 'packaging/windows/d4r.ini').read_text()
config = re.sub(r'(?m)^Model\s*=\s*K\s*$', 'Model = ' + args.model, config)
config = re.sub(r'(?m)^BatchInputCopies\s*=\s*(?:true|false)\s*$',
'BatchInputCopies = ' + str(use_batch).lower(), config)
selected_native = args.candidate_native if batched and args.candidate_native else native
config = config.replace('NativeDir = auto', 'NativeDir = ' + str(selected_native))
(runtime / 'd4r.ini').write_text(config)
if args.candidate_shim:
shutil.copy2(args.candidate_shim if batched else args.shim, module)
selected_module = module if args.player_config else args.candidate_shim if batched and args.candidate_shim else module
command = [str(args.probe), '--module', str(selected_module), '--hip-root', str(runtime / 'hip'),
'--cuda-dll', str(runtime / 'zluda/nvcuda.dll'), '--ngx-core', str(args.core),
'--dlss-dll', str(args.dlss), '--nvapi-dll', str(nvapi),
'--ngx-abi', 'project', '--interop-mode', 'command-list', '--preset', str(preset),
'--ngx-quality', '2' if args.model == 'K' else '0',
'--ngx-create-flags', '0' if args.model == 'K' else '11',
'--pixel-profile', args.pixel_profile,
'--ngx-output-resolution', args.resolution,
'--ngx-input-resolution', args.input_resolution, '--iterations', str(args.frames)]
if args.player_config:
command += ['--player-mode', '1']
if args.reset_every_frame:
command += ['--reset-every-frame', '1']
with (output / 'stdout.log').open('wb') as out, (output / 'stderr.log').open('wb') as err:
result = subprocess.run(command, env=env, stdout=out, stderr=err, timeout=args.timeout)
if args.player_config and (runtime / 'd4r_nvngx.log').exists():
shutil.copy2(runtime / 'd4r_nvngx.log', output / 'player.log')
text = (output / 'stdout.log').read_text(errors='replace')
if result.returncode or 'PASS D3D12_DLSS' not in text:
raise RuntimeError(f'run {index} failed ({result.returncode}); inspect {output}')
if args.reset_every_frame and 'D3D12_RESET every_frame=1' not in text:
raise RuntimeError('Requested reset diagnostic was not applied')
if 'D3D12_PIXEL_PROFILE ' + args.pixel_profile not in text:
raise RuntimeError('Requested pixel formats were not applied')
iw, ih = map(int, args.input_resolution.split('x'))
expected_size = f'D3D12_NGX_DIMENSIONS input={iw}x{ih} output={ow}x{oh}'
if expected_size not in text or f'D4R_INTEROP async=0 batch_inputs={int(use_batch)}' not in text:
raise RuntimeError(f'run {index}: requested dimensions/interop mode not applied')
if len(re.findall(rf'D3D12_OUTPUT preset={preset} frame=\d+ finite=1 ', text)) != args.frames:
raise RuntimeError(f'run {index}: missing finite-output checks')
times = [float(x) for x in re.findall(r'D4R_FRAME .*?interop_ngx_ms=([0-9.]+)', text)]
if len(times) != args.frames:
raise RuntimeError(f'run {index}: incomplete frame timing')
hashes = {p.name: hashlib.sha256(p.read_bytes()).hexdigest() for p in output.glob('output-*')
if p.suffix in ('.rgba16f', '.r11g11b10f', '.bgra8')}
expected_products = args.frames * (2 if args.pixel_profile in ('packed', 'unorm') else 1)
if len(hashes) != expected_products:
raise RuntimeError(f'run {index}: incomplete output readback')
if reference is None:
reference = hashes
elif hashes != reference:
report['mismatchRun'] = index
report['differentFrames'] = [name for name, digest in hashes.items() if reference.get(name) != digest]
report['mismatchedOutputHashes'] = hashes
raise RuntimeError(f'run {index}: output differs from control')
report['runs'].append({'batch': use_batch,
'candidate': batched, 'allFrameMs': times,
'medianMs': statistics.median(times[4:]), 'outputHashes': hashes})
print(f'run={index} variant={label} warmed_cpu_interop_ms={statistics.median(times[4:]):.3f}', flush=True)
for mode in (False, True):
values = [t for row in report['runs'] if row['candidate'] == mode for t in row['allFrameMs'][4:]]
if not values:
continue
key = ('candidateMedianMs' if comparing else 'batchMedianMs') if mode else 'controlMedianMs'
report[key] = statistics.median(values)
report['passed'] = True
except Exception as error:
report['error'] = str(error)
print(str(error), flush=True)
finally:
(args.output / 'summary.json').write_text(json.dumps(report, indent=2) + '\n')
return 0 if report['passed'] else 1
if __name__ == '__main__':
raise SystemExit(main())