Comments (1)
awni
commented on August 17, 2024
1
Looks like a bug in MLX Core. I will transfer this issue there.
import mlx.core as mx
arr = mx.arange(10).reshape((5, 2))
s = mx.split(arr, 2, axis=-1)[0]
inds = mx.argsort(s, axis=0)
expected = mx.arange(5)[:, None]
print(inds)
print(mx.array_equal(inds, expected))from mlx.
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from mlx.