ayo
7c5d3c9157
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.
63 lines
3.1 KiB
Python
63 lines
3.1 KiB
Python
"""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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