Vehicle Researcher
6adb63b915
date: 2026-06-04T09:49:56 master commit: c0ab3550eca2e9daf197c46b7e4b24aa9637cf2e
22 lines
661 B
Python
22 lines
661 B
Python
from tinygrad import Tensor, dtypes
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from extra.datasets.imagenet import iterate, get_val_files
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if __name__ == "__main__":
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#sz = len(get_val_files())
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sz = 32*100
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X,Y = None, None
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idx = 0
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for x,y in iterate(shuffle=False):
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print(x.shape, y.shape, x.dtype, y.dtype)
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assert x.shape[0] == y.shape[0]
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bs = x.shape[0]
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if X is None:
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X = Tensor.empty(sz, *x.shape[1:], device="disk:/tmp/imagenet_x", dtype=dtypes.uint8)
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Y = Tensor.empty(sz, *y.shape[1:], device="disk:/tmp/imagenet_y", dtype=dtypes.int64)
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print(X.shape, Y.shape)
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X[idx:idx+bs].assign(x)
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Y[idx:idx+bs].assign(y)
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idx += bs
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if idx >= sz: break
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