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Fix rope fallback to not upcast (#1797)

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* fix rope fallback to not upcast

* Update mlx/fast.cpp

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>

---------

Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
This commit is contained in:
Awni Hannun 2025-01-26 19:07:21 -08:00 committed by GitHub
parent 0cea88bcc5
commit 121d9a0702
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2 changed files with 18 additions and 14 deletions
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4
mlx/fast.cpp
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@ -392,8 +392,8 @@ array rope(
s); s);
}; };
auto inv_freqs = auto inv_freqs = inputs.size() == 3 ? astype(reciprocal(inputs[2], s), t, s)
inputs.size() == 3 ? reciprocal(inputs[2], s) : default_inv_freqs(); : default_inv_freqs();
auto theta = auto theta =
multiply(expand_dims(positions, 1, s), expand_dims(inv_freqs, 0, s), s); multiply(expand_dims(positions, 1, s), expand_dims(inv_freqs, 0, s), s);
auto coss = cos(theta, s); auto coss = cos(theta, s);

28
python/tests/test_fast.py
View File

@ -18,7 +18,7 @@ def rope_orig(x, dims, traditional, base, scale, offset, freqs=None):
-mx.arange(0.0, half_D, dtype=dtype) * (math.log(base) / half_D) -mx.arange(0.0, half_D, dtype=dtype) * (math.log(base) / half_D)
) )
else: else:
inv_freqs = 1 / freqs inv_freqs = (1 / freqs).astype(x.dtype)
theta = mx.reshape(positions, (-1, 1)) * mx.reshape(inv_freqs, (1, -1)) theta = mx.reshape(positions, (-1, 1)) * mx.reshape(inv_freqs, (1, -1))
costheta, sintheta = mx.cos(theta), mx.sin(theta) costheta, sintheta = mx.cos(theta), mx.sin(theta)
if traditional: if traditional:
@ -189,17 +189,21 @@ class TestFast(mlx_tests.MLXTestCase):
freqs = mx.random.uniform(shape=(dims // 2,)) freqs = mx.random.uniform(shape=(dims // 2,))
rx = rope_orig(x, dims, False, None, 1.0, 0, freqs) tolerances = {mx.float32: 1e-5, mx.float16: 1e-2}
rx_fast = mx.fast.rope( for dtype in [mx.float32, mx.float16]:
x, x_ = x.astype(dtype)
dims, rx = rope_orig(x_, dims, False, None, 1.0, 0, freqs)
traditional=False, rx_fast = mx.fast.rope(
base=None, x_,
scale=1.0, dims,
offset=0, traditional=False,
freqs=freqs, base=None,
) scale=1.0,
self.assertLess(mx.abs(rx - rx_fast).max(), 1e-5) offset=0,
freqs=freqs,
)
self.assertEqual(dtype, rx.dtype)
self.assertLess(mx.abs(rx - rx_fast).max(), tolerances[dtype])
# Test single vector # Test single vector
x = mx.random.uniform(shape=(1, 1, dims)) x = mx.random.uniform(shape=(1, 1, dims))