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Allow None input to compiled functions (#2621)
* Allow None input to compiled functions * Allow None input to compiled functions
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@@ -441,6 +441,7 @@ struct PyCompiledFun {
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constexpr uint64_t array_identifier = 18446744073709551557UL;
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constexpr uint64_t array_identifier = 18446744073709551557UL;
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constexpr uint64_t list_identifier = 18446744073709551533UL;
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constexpr uint64_t list_identifier = 18446744073709551533UL;
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constexpr uint64_t dict_identifier = 18446744073709551521UL;
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constexpr uint64_t dict_identifier = 18446744073709551521UL;
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constexpr uint64_t none_identifier = 10239356951478402889UL;
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// Flatten the tree with hashed constants and structure
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// Flatten the tree with hashed constants and structure
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std::function<void(nb::handle)> recurse;
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std::function<void(nb::handle)> recurse;
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@@ -476,10 +477,12 @@ struct PyCompiledFun {
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} else if (nb::isinstance<nb::float_>(obj)) {
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} else if (nb::isinstance<nb::float_>(obj)) {
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auto r = nb::cast<double>(obj);
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auto r = nb::cast<double>(obj);
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constants.push_back(*reinterpret_cast<uint64_t*>(&r));
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constants.push_back(*reinterpret_cast<uint64_t*>(&r));
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} else if (obj.is_none()) {
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constants.push_back(none_identifier);
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} else {
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} else {
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std::ostringstream msg;
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std::ostringstream msg;
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msg << "[compile] Function arguments must be trees of arrays "
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msg << "[compile] Function arguments must be trees of arrays "
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<< "or constants (floats, ints, or strings), but received "
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<< "or constants (floats, ints, strings, or None), but received "
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<< "type " << type_name_str(obj) << ".";
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<< "type " << type_name_str(obj) << ".";
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throw std::invalid_argument(msg.str());
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throw std::invalid_argument(msg.str());
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}
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}
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@@ -1037,6 +1037,20 @@ class TestCompile(mlx_tests.MLXTestCase):
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self.assertEqual(inner.__doc__, c_inner.__doc__)
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self.assertEqual(inner.__doc__, c_inner.__doc__)
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self.assertEqual(inspect.signature(inner), inspect.signature(c_inner))
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self.assertEqual(inspect.signature(inner), inspect.signature(c_inner))
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def test_compile_with_none(self):
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@mx.compile
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def fun(x, y):
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if y is None:
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return mx.abs(x - 2.0)
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else:
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return mx.abs(x + y)
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out = fun(mx.array(1.0), None)
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self.assertEqual(out.item(), 1.0)
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out = fun(mx.array(1.0), mx.array(2.0))
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self.assertEqual(out.item(), 3.0)
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if __name__ == "__main__":
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if __name__ == "__main__":
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mlx_tests.MLXTestRunner()
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mlx_tests.MLXTestRunner()
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