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16 lines
525 B
Python
16 lines
525 B
Python
from tinygrad import Tensor, Device, TinyJit, dtypes
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GPUS = Device[Device.DEFAULT].count()
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N = 6144
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@TinyJit
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def many_matmul(A, B):
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out = A
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for _ in range(8): out = out@B
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return out
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if __name__ == "__main__":
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A = Tensor.ones(GPUS, N, N, dtype=dtypes.half).shard(devices=tuple([f"{Device.DEFAULT}:{i}" for i in range(GPUS)]), axis=0).contiguous()
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B = Tensor.ones(GPUS, N, N, dtype=dtypes.half).shard(devices=tuple([f"{Device.DEFAULT}:{i}" for i in range(GPUS)]), axis=0).contiguous()
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while 1: many_matmul(A, B)
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