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https://github.com/ml-explore/mlx.git
synced 2025-09-12 15:24:57 +08:00
ExpandDims
primitive (#1687)
* add squeeze primitive * simplify squeeze, use in gather * fix * fix * fix * fix * fix no cpu * use squeeze in matmul and friends * expand dims primitive * comment
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@@ -144,23 +144,23 @@ array mlx_gather_nd(
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int slice_index = 0;
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for (int i = 0; i < gather_indices.size(); i++) {
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if (is_slice[i]) {
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std::vector<int> index_shape(max_dims + num_slices, 1);
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Shape index_shape(max_dims + num_slices, 1);
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index_shape[max_dims + slice_index] = gather_indices[i].shape(0);
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gather_indices[i] = reshape(gather_indices[i], index_shape);
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gather_indices[i] = reshape(gather_indices[i], std::move(index_shape));
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slice_index++;
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} else {
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std::vector<int> index_shape = gather_indices[i].shape();
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auto index_shape = gather_indices[i].shape();
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index_shape.insert(index_shape.end(), num_slices, 1);
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gather_indices[i] = reshape(gather_indices[i], index_shape);
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gather_indices[i] = reshape(gather_indices[i], std::move(index_shape));
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}
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}
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} else {
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// reshape them so that the int/array indices are last
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for (int i = 0; i < gather_indices.size(); i++) {
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if (i < num_slices) {
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std::vector<int> index_shape(max_dims + num_slices, 1);
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Shape index_shape(max_dims + num_slices, 1);
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index_shape[i] = gather_indices[i].shape(0);
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gather_indices[i] = reshape(gather_indices[i], index_shape);
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gather_indices[i] = reshape(gather_indices[i], std::move(index_shape));
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}
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}
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}
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@@ -172,19 +172,11 @@ array mlx_gather_nd(
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std::fill(slice_sizes.begin(), slice_sizes.begin() + indices.size(), 1);
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src = gather(src, gather_indices, axes, slice_sizes);
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// Squeeze the dims
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std::vector<int> out_shape;
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out_shape.insert(
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out_shape.end(),
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src.shape().begin(),
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src.shape().begin() + max_dims + num_slices);
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out_shape.insert(
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out_shape.end(),
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src.shape().begin() + max_dims + num_slices + indices.size(),
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src.shape().end());
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src = reshape(src, out_shape);
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return src;
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// Squeeze the array index dims
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for (auto& ax : axes) {
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ax += max_dims + num_slices;
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}
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return squeeze(src, axes);
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}
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auto mlx_expand_ellipsis(
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@@ -392,27 +392,6 @@ class TestCompile(mlx_tests.MLXTestCase):
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out = fun(x, y=y, z=z)
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self.assertEqual(out.item(), 6)
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def test_shapeless_compile(self):
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y = 1
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@partial(mx.compile, shapeless=True)
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def fun(x):
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return x + y
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x = mx.array([1, 2])
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self.assertTrue(mx.array_equal(fun(x), mx.array([2, 3])))
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# The function is not recompiled, so the change
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# to y should not be reflected in the output
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y = 2
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x = mx.array([1, 2, 3])
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self.assertTrue(mx.array_equal(fun(x), mx.array([2, 3, 4])))
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# Type change recompiles
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x = mx.array([1.0, 2.0, 3.0])
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self.assertTrue(mx.array_equal(fun(x), mx.array([3.0, 4.0, 5.0])))
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fun(x, y=y, z=z)
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def test_shapeless_compile(self):
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y = 1
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@@ -477,6 +456,12 @@ class TestCompile(mlx_tests.MLXTestCase):
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mx.eval(cfun(x1))
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self.assertTrue(mx.array_equal(fun(x2), cfun(x2)))
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def fun(x):
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return x * x.sum(-1, keepdims=False)
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cfun = mx.compile(fun, shapeless=True)
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self.assertTrue(mx.array_equal(fun(x2), cfun(x2)))
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def test_compile_with_constant(self):
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# Test float
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@partial(mx.compile)
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@@ -809,6 +794,13 @@ class TestCompile(mlx_tests.MLXTestCase):
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out = fun(*inputs)
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self.assertTrue(mx.allclose(out, mx.full((2, 2), 20)))
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def test_shapeless_compile_matmul(self):
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a = mx.array([0.0, 1.0, 2.0])
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b = mx.array([0.0, 1.0, 2.0])
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fun = mx.compile(lambda a, b: a @ b, shapeless=True)
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self.assertTrue(mx.allclose(fun(a, b), a @ b))
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if __name__ == "__main__":
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unittest.main()
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