Add Inkling model support (#31681)

Co-authored-by: Chunan Zeng <zcnrex@gmail.com>
Co-authored-by: Ke Bao <ispobaoke@gmail.com>
Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>
Co-authored-by: Yuhao Yang <47235274+yhyang201@users.noreply.github.com>
Co-authored-by: Qiaolin Yu <qiaolin.yu@radixark.ai>
Co-authored-by: Zhichen Zeng <zczeng@uw.edu>
Co-authored-by: Aurick Qiao <aurick@thinkingmachines.ai>
Co-authored-by: Joseph <jk@thinkingmachines.ai>
This commit is contained in:
Cheng Wan
2026-07-19 22:57:37 -07:00
committed by GitHub
co-authored by Chunan Zeng Ke Bao Yanbin Jiang Yuhao Yang Qiaolin Yu Zhichen Zeng Aurick Qiao Joseph
parent 829e9ce9d5
commit 02236fa38c
279 changed files with 74334 additions and 931 deletions
+40
View File
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import io
import os
import sys
import numpy as np
import torch
from PIL import Image
sys.path.insert(0, os.path.dirname(__file__))
from bench_parity import PS, make_photo_like, ref_patchify
OUT = (
sys.argv[1]
if len(sys.argv) > 1
else os.path.join(os.path.dirname(__file__), "..", "tests", "golden")
)
CASES = [
("480x640", 480, 640, 10),
("200x320", 200, 320, 11),
("37x53", 37, 53, 12),
("40x40", 40, 40, 13),
]
os.makedirs(OUT, exist_ok=True)
for name, h, w, seed in CASES:
arr = make_photo_like(h, w, seed=seed)
bits = ref_patchify(arr).view(torch.uint16).numpy()
buf = io.BytesIO()
Image.fromarray(arr).save(buf, format="PNG")
path = os.path.join(OUT, f"golden_{name}.npz")
np.savez_compressed(
path,
arr=arr,
bits=bits,
png=np.frombuffer(buf.getvalue(), dtype=np.uint8),
patch_size=np.int64(PS),
)
print(f" {path}: input {h}x{w}, bits {bits.shape}")
print("GOLDEN_OK")