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fix unflatten vjp (#1708)

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Awni Hannun 2024-12-16 18:37:57 -08:00 committed by GitHub
parent a82996e9fb
commit d03c01dfbc
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2 changed files with 16 additions and 1 deletions
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2
mlx/primitives.cpp
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@ -1716,7 +1716,7 @@ std::vector<array> Unflatten::vjp(
const std::vector<array>& cotangents, const std::vector<array>& cotangents,
const std::vector<int>&, const std::vector<int>&,
const std::vector<array>&) { const std::vector<array>&) {
return {flatten(cotangents[0], axis_, axis_ + shape_.size(), stream())}; return {flatten(cotangents[0], axis_, axis_ + shape_.size() - 1, stream())};
} }
std::vector<array> Unflatten::jvp( std::vector<array> Unflatten::jvp(

15
python/tests/test_autograd.py
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@ -605,6 +605,21 @@ class TestAutograd(mlx_tests.MLXTestCase):
dfdx = mx.grad(fun)(x) dfdx = mx.grad(fun)(x)
self.assertTrue(mx.allclose(dfdx, -2j * mx.ones_like(x))) self.assertTrue(mx.allclose(dfdx, -2j * mx.ones_like(x)))
def test_flatten_unflatten_vjps(self):
def fun(x):
y = mx.unflatten(x, 0, (2, 2))
return y.sum()
x = mx.zeros((4, 8))
self.assertEqual(mx.grad(fun)(x).shape, (4, 8))
def fun(x):
y = mx.flatten(x, 0, 2)
return y.sum()
x = mx.zeros((2, 4, 8))
self.assertEqual(mx.grad(fun)(x).shape, (2, 4, 8))
if __name__ == "__main__": if __name__ == "__main__":
unittest.main() unittest.main()