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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#!/usr/bin/env python3
"""Pack decoder 1's extracted weights (engine/rr/dec1_ref.py --extract) for engine/rr/dec1_m.comp.
usage: dec1_pack.py WEIGHTS.npz OUT.bin OUT.h
enc1_pack.py's layout (transposed products, columns in the consumer's k order) plus the expand (dec0_pack.py): 256
columns, four sub-positions of 64 channels each permuted to slot order.
"""
import os
import sys
import numpy as np
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from enc1_ref import inter # noqa: E402
from enc1_pack import a_tiles, b_tiles, cubic_table # noqa: E402
I32, I64, I96 = inter(32), inter(64), inter(96)
I256 = [64 * (j // 64) + I64[j % 64] for j in range(256)]
def main():
src, out_bin, out_h = sys.argv[1:4]
w = dict(np.load(src))
e = {'we': ('A', w['we'][:, I256]), 'be': ('H', w['be'][I256])}
for h in range(2):
e[f'wk{h}'] = ('A', np.vstack([w[f'wk{h}a'], w[f'wk{h}b']])[:, I32])
e[f'wv{h}'] = ('B', np.vstack([w[f'wv{h}a'], w[f'wv{h}b']])[:, I32])
e[f'wo{h}'] = ('A', w[f'wo{h}'][:, I64])
e[f'bias{h}'] = ('H', w[f'bias{h}'][np.ix_(I64, I96)].T)
for b in range(8):
e[f'w1_{b}'] = ('A', w[f'w1_{b}'][:, I32])
e[f'b1_{b}'] = ('H', w[f'b1_{b}'][I32])
e[f'w2_{b}'] = ('A', w[f'w2_{b}'][:, I64])
e['wh'], e['bh'] = ('A', w['wh']), ('H', w['bh'])
e['gain0'] = ('H', w['gain0'])
for k in ('table7', 'gain14', 'table16'):
e[k] = ('H', w[k][I64])
e['cubic'] = ('U', cubic_table())
blob, defines = bytearray(), []
for name, (kind, a) in e.items():
while len(blob) % 256:
blob.append(0)
off = len(blob)
if kind == 'A':
blob += a_tiles(a).tobytes()
elif kind == 'B':
blob += b_tiles(a).tobytes()
elif kind == 'U':
blob += np.ascontiguousarray(a, np.uint16).tobytes()
else:
blob += np.ascontiguousarray(a, np.float16).tobytes()
defines.append(f'#define W_{name.upper()} {off}u // {kind} {a.shape}')
open(out_bin, 'wb').write(bytes(blob))
open(out_h, 'w').write('// generated by engine/rr/dec1_pack.py\n' + '\n'.join(defines) + '\n')
print(f'{len(blob)} bytes, {len(e)} entries')
if __name__ == '__main__':
main()