feat: add d4r inference engines and Windows parity tooling

Add native K/M/RR inference engines, HIP kernels, replay and validation
harnesses, and Windows DLSS setup and runtime support. Include GPU
profiling tools, build and packaging scripts, platform integration
patches, and implementation documentation.
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ayo committed 2026-10-16 08:54:47 -04:00
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"""Validate every RGBA16F diagnostic frame against another complete pipeline."""
import argparse
import math
import pathlib
import sys
import numpy as np
def main(args):
frames = sorted(args.reference.glob('output-*.rgba16f'))
if not frames:
raise RuntimeError('Reference contains no frames')
for path in frames:
actual = args.actual / path.name
if not actual.is_file():
raise RuntimeError(f'Missing output frame {path.name}')
reference = np.fromfile(path, np.float16)
output = np.fromfile(actual, np.float16)
if reference.size != output.size or reference.size != args.width * args.height * 4:
raise RuntimeError(f'Output size mismatch for {path.name}')
if not np.isfinite(reference).all() or not np.isfinite(output).all():
raise RuntimeError(f'NaN/Inf in {path.name}')
if args.output_storage == 'r11g11b10f':
# D3D float narrowing truncates. Compare after the independent
# resource-format quantisation, rather than relaxing the PSNR gate.
bits = reference.reshape(-1, 4).view(np.uint16).copy()
bits[bits & 0x8000 != 0] = 0
bits[:, :2] &= 0x7ff0
bits[:, 2] &= 0x7fe0
reference = bits.view(np.float16).reshape(-1)
elif args.output_storage == 'bgra8':
reference = (np.rint(np.clip(reference.astype(np.float32), 0, 1) * 255) / 255).astype(np.float16)
x = reference.reshape(-1, 4)[:, :3].astype(np.float64)
y = output.reshape(-1, 4)[:, :3].astype(np.float64)
error = np.abs(x - y)
rms = float(np.sqrt(np.mean(error ** 2)))
peak = max(1., float(np.abs(x).max()))
psnr = math.inf if rms == 0 else 20 * math.log10(peak / rms)
outliers = float(np.mean(error > .01 * peak))
print(f'FRAME_REFERENCE name={path.name} max_abs={error.max():.9g} '
f'max_rel={(error / np.maximum(np.abs(x), .001)).max():.9g} rms={rms:.9g} psnr_db={psnr:.6g} '
f'fraction_over_1pct={outliers:.9g}')
if (args.exact and np.any(error != 0)) or psnr < args.min_psnr or error.max() > .025 * peak or outliers > .0001:
raise RuntimeError(f'Complete pipeline mismatch in {path.name}')
print(f'PASS FRAME_REFERENCE frames={len(frames)} finite=1 min_psnr_db={args.min_psnr}')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--reference', type=pathlib.Path, required=True)
parser.add_argument('--actual', type=pathlib.Path, required=True)
parser.add_argument('--width', type=int, default=512)
parser.add_argument('--height', type=int, default=288)
parser.add_argument('--min-psnr', type=float, default=60.)
parser.add_argument('--output-storage', choices=('rgba16f', 'r11g11b10f', 'bgra8'), default='rgba16f')
parser.add_argument('--exact', action='store_true')
args = parser.parse_args()
try:
main(args)
except Exception as error:
print(f'FAIL FRAME_REFERENCE {error}', file=sys.stderr)
raise SystemExit(5)