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.
45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
#!/usr/bin/env python3
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"""Compare full native frame results, including the engine's own temporal feedback.
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test_frame.py CASE_DIR RESULT_DIR [--min-psnr 50]
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Exits nonzero for missing data, nonfinite output, or a PSNR regression.
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"""
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import argparse
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import json
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from pathlib import Path
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import numpy as np
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def compare(reference, output):
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a = np.fromfile(reference, np.float16).astype(np.float64)
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b = np.fromfile(output, np.float16).astype(np.float64)
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if a.shape != b.shape or not a.size:
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raise ValueError(f'{output}: size differs from reference')
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if not np.isfinite(a).all() or not np.isfinite(b).all():
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raise ValueError(f'{output}: nonfinite reference or result')
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error = np.abs(a - b)
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peak = max(np.abs(a).max(), 1e-9)
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psnr = 10 * np.log10(peak**2 / max((error**2).mean(), 1e-30))
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return psnr, error.max(), error.mean()
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def main():
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p = argparse.ArgumentParser(description=__doc__)
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p.add_argument('case', type=Path)
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p.add_argument('results', type=Path)
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p.add_argument('--min-psnr', type=float, default=50)
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a = p.parse_args()
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references = json.loads((a.case / 'references.json').read_text())
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if not references: raise ValueError('no reference frames')
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failed = False
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names = {'288': 'history color', '296': 'hi-res luma', '304': 'token feature', '312': 'final RGB'}
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for i, refs in enumerate(references):
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for off, reference in refs.items():
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psnr, maximum, mean = compare(reference, a.results / f'frame-{i}.{off}.bin')
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print(f'frame {i} {names[off]:14s}: {psnr:6.1f} dB PSNR; max error {maximum:.5g}; mean {mean:.5g}')
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failed |= psnr < a.min_psnr
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if failed: raise SystemExit(f'frame validation failed: PSNR below {a.min_psnr:g} dB')
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if __name__ == '__main__': main()
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