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Fix quantization of all 0s (#1028)

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Angelos Katharopoulos 2024-04-24 00:40:42 -07:00 committed by GitHub
parent d0dbfe0b97
commit ec8578d41a
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2 changed files with 12 additions and 1 deletions
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5
mlx/ops.cpp
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@ -3274,7 +3274,10 @@ std::tuple<array, array, array> quantize(
reshape(w, {w.shape(0), w.shape(1) / group_size, group_size}, s);
array w_max = max(packed_w, /* axis= */ -1, /* keepdims= */ true, s);
array w_min = min(packed_w, /* axis= */ -1, /* keepdims= */ true, s);
array delta = divide(subtract(w_max, w_min, s), array(n_bins, w.dtype()), s);
array delta = maximum(
divide(subtract(w_max, w_min, s), array(n_bins, w.dtype()), s),
array(1e-7, w.dtype()),
s);
array scales = squeeze(delta, -1, s);
array biases = squeeze(w_min, -1, s);

8
python/tests/test_quantized.py
View File

@ -18,6 +18,14 @@ class TestQuantized(mlx_tests.MLXTestCase):
eps = 1e-6
self.assertTrue((errors <= (scales[..., None] + eps)).all())
# test quantize/dequantize 0s
a = mx.zeros((256, 512))
for gs in [32, 64, 128]:
for b in [2, 4, 8]:
w_q, scales, biases = mx.quantize(a, gs, b)
a_hat = mx.dequantize(w_q, scales, biases, gs, b)
self.assertTrue(mx.all(a_hat == 0))
def test_qmm(self):
key = mx.random.key(0)
k1, k2 = mx.random.split(key)