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