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segfaut layer norm grad (#955)

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Awni Hannun 2024-04-04 10:59:15 -07:00 committed by GitHub
parent e142aaf8a1
commit d88d2124b5
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2 changed files with 12 additions and 1 deletions
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2
mlx/backend/metal/normalization.cpp
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@ -392,7 +392,7 @@ void LayerNormVJP::eval_gpu(
group_dims = MTL::Size(threadgroup_size, 1, 1);
}
uint32_t w_stride = w.strides()[0];
uint32_t w_stride = (w.ndim() == 1) ? w.strides()[0] : 0;
compute_encoder->setComputePipelineState(kernel);
set_array_buffer(compute_encoder, x_in_gx ? gx : x, 0);
set_array_buffer(compute_encoder, w, 1);

11
python/tests/test_fast.py
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@ -375,6 +375,17 @@ class TestFast(mlx_tests.MLXTestCase):
self.assertLess(mx.abs(gb1).max(), 1e-9)
self.assertLess(mx.abs(gb2).max(), 1e-9)
def test_layer_norm_grad_no_params(self):
eps = 1e-5
f1 = lambda x: layer_norm(x, None, None, eps).sum()
f2 = lambda x: mx.fast.layer_norm(x, None, None, eps).sum()
x = mx.random.normal(shape=(2, 2, 8))
mx.eval(x)
gx1 = mx.grad(f1)(x)
gx2 = mx.grad(f2)(x)
self.assertTrue(mx.allclose(gx1, gx2, atol=1e-6))
def test_layer_norm_grad_params(self):
eps = 1e-5
f1 = lambda params, x: (layer_norm(x, params[0], params[1], eps)).sum()