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IQ.Pilot Release Commit @ 0798119

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IQ.Lvbs history cleanup
2026-08-22 23:42:42 -05:00
commit b42569dbca
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from tinygrad import Tensor, TinyJit, Device
import numpy as np
GPUS = 4
N = 128
ds = tuple([Device.canonicalize(f"{Device.DEFAULT}:{i}") for i in range(GPUS)])
t = Tensor.rand(N, N, N).shard(ds, 0)
n = t.numpy()
@TinyJit
def allreduce(t:Tensor) -> Tensor:
return t.sum(0) #.realize()
for i in range(10):
print(i)
tn = allreduce(t).numpy()
np.testing.assert_allclose(tn, n.sum(0), atol=1e-4, rtol=1e-4)