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https://github.com/ml-explore/mlx.git
synced 2025-08-10 03:06:39 +08:00
fix segfault on python exit
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parent
0005cfe053
commit
966b7faef4
@ -449,10 +449,13 @@ auto py_vmap(
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};
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}
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auto py_compile(const py::function& fun) {
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std::unordered_map<size_t, py::object>& tree_cache() {
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// This map is used to Cache the tree structure of the outputs
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static std::unordered_map<size_t, py::object> tree_cache;
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static std::unordered_map<size_t, py::object> tree_cache_;
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return tree_cache_;
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}
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auto py_compile(const py::function& fun) {
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return [fun](const py::args& args) {
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// Inputs must be array or tree of arrays
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auto inputs = tree_flatten(args, true);
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@ -470,7 +473,7 @@ auto py_compile(const py::function& fun) {
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py_outputs =
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tree_map(py_outputs, [](const py::handle& x) { return py::none(); });
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tree_cache.insert({fun_id, py_outputs});
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tree_cache().insert({fun_id, py_outputs});
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return outputs;
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};
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@ -478,7 +481,7 @@ auto py_compile(const py::function& fun) {
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auto outputs = detail::compile(compile_fun, fun_id)(inputs);
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// Put the outputs back in the container
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py::object py_outputs = tree_cache.at(fun_id);
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py::object py_outputs = tree_cache().at(fun_id);
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return tree_unflatten_none(py_outputs, outputs);
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};
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}
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@ -800,4 +803,8 @@ void init_transforms(py::module_& m) {
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function: A compiled function which has the same input arguments
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as ``fun`` and returns the the same output(s).
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)pbdoc");
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// Register static Python object cleanup before the interpreter exits
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auto atexit = py::module_::import("atexit");
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atexit.attr("register")(py::cpp_function([]() { tree_cache().clear(); }));
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}
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@ -22,6 +22,39 @@ class TestCompile(mlx_tests.MLXTestCase):
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out = compiled_fn(x, y)
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self.assertEqual(out.item(), 2.0)
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def test_compile_grad(self):
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def loss_fn(x):
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return mx.exp(x).sum()
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grad_fn = mx.grad(loss_fn)
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x = mx.array([0.5, -0.5, 1.2])
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dfdx = grad_fn(x)
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compile_grad_fn = mx.compile(grad_fn)
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c_dfdx = grad_fn(x)
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self.assertTrue(mx.allclose(c_dfdx, dfdx))
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# Run it again without calling compile
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c_dfdx = compile_grad_fn(x)
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self.assertTrue(mx.allclose(c_dfdx, dfdx))
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# Run it again with calling compile
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c_dfdx = mx.compile(grad_fn)(x)
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self.assertTrue(mx.allclose(c_dfdx, dfdx))
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# Value and grad
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def loss_fn(x):
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return mx.exp(x).sum(), mx.sin(x)
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val_and_grad_fn = mx.value_and_grad(loss_fn)
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(loss, val), dfdx = val_and_grad_fn(x)
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(c_loss, c_val), c_dfdx = mx.compile(val_and_grad_fn)(x)
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self.assertTrue(mx.allclose(c_dfdx, dfdx))
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self.assertTrue(mx.allclose(c_loss, loss))
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self.assertTrue(mx.allclose(c_val, val))
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if __name__ == "__main__":
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unittest.main()
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