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sunnypilot-byd/tinygrad_repo/extra/datasets/preprocess_imagenet.py
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github-actions[bot] de77c89cf6 sunnypilot v2026.002.000
version: sunnypilot v2026.002.000 (staging)
date: 2026-07-21T07:44:02
master commit: 2c334ede443d7391d27575af8c854a095ba702a8
2026-07-21 07:44:02 +00:00

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Python

from tinygrad import Tensor, dtypes
from extra.datasets.imagenet import iterate, get_val_files
if __name__ == "__main__":
#sz = len(get_val_files())
sz = 32*100
X,Y = None, None
idx = 0
for x,y in iterate(shuffle=False):
print(x.shape, y.shape, x.dtype, y.dtype)
assert x.shape[0] == y.shape[0]
bs = x.shape[0]
if X is None:
X = Tensor.empty(sz, *x.shape[1:], device="disk:/tmp/imagenet_x", dtype=dtypes.uint8)
Y = Tensor.empty(sz, *y.shape[1:], device="disk:/tmp/imagenet_y", dtype=dtypes.int64)
print(X.shape, Y.shape)
X[idx:idx+bs].assign(x)
Y[idx:idx+bs].assign(y)
idx += bs
if idx >= sz: break