github-actions[bot]
3dcc048299
date: 2026-06-19T21:43:27 master commit: 5d90689776fdc7a3be31fc1335003aee20a2ba62
18 lines
414 B
Python
18 lines
414 B
Python
from tinygrad import Tensor, TinyJit, Device
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import numpy as np
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GPUS = 4
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N = 128
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ds = tuple([Device.canonicalize(f"{Device.DEFAULT}:{i}") for i in range(GPUS)])
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t = Tensor.rand(N, N, N).shard(ds, 0)
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n = t.numpy()
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@TinyJit
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def allreduce(t:Tensor) -> Tensor:
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return t.sum(0) #.realize()
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for i in range(10):
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print(i)
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tn = allreduce(t).numpy()
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np.testing.assert_allclose(tn, n.sum(0), atol=1e-4, rtol=1e-4)
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