11 lines
233 B
Python
11 lines
233 B
Python
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import mlx.core as mx
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from tinygrad.helpers import Timing
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N = 4096
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x = mx.random.normal((N,N))
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w = mx.random.normal((N,N))
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FLOPS = N*N*N*2
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for i in range(10):
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with Timing("", lambda x: f" {FLOPS/x:.2f} GFLOPS"):
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mx.eval(x@w)
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