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gh-131798: JIT: Further optimize_CALL_ISINSTANCE
for class tuples#134543
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -2105,17 +2105,116 @@ def testfunc(n): | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertIn("_GUARD_IS_TRUE_POP", uops) | ||
deftest_call_isinstance_tuple_of_classes_is_true(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
y = isinstance(42, (int, str)) | ||
if y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
uops = get_opnames(ex) | ||
self.assertNotIn("_CALL_ISINSTANCE", uops) | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertNotIn("_GUARD_IS_TRUE_POP", uops) | ||
self.assertIn("_BUILD_TUPLE", uops) | ||
self.assertIn("_POP_CALL_TWO_LOAD_CONST_INLINE_BORROW", uops) | ||
Comment on lines +2124 to +2125 There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others.Learn more.
LOAD_CONSTLOAD_CONST_BUILD_TUPLE_POP_CALL_TWO_LOAD_CONST_INLINE_BORROW To optimize this, we'd need some special handling for | ||
def test_call_isinstance_tuple_of_classes_is_false(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
y = isinstance(42, (bool, str)) | ||
if not y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
uops = get_opnames(ex) | ||
self.assertNotIn("_CALL_ISINSTANCE", uops) | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertNotIn("_GUARD_IS_FALSE_POP", uops) | ||
self.assertIn("_BUILD_TUPLE", uops) | ||
self.assertIn("_POP_CALL_TWO_LOAD_CONST_INLINE_BORROW", uops) | ||
def test_call_isinstance_tuple_of_classes_true_unknown(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
# One of the classes is unknown, but we can still | ||
# narrow to True | ||
y = isinstance(42, (eval('str'), int)) | ||
if y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
uops = get_opnames(ex) | ||
self.assertNotIn("_CALL_ISINSTANCE", uops) | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertNotIn("_GUARD_IS_TRUE_POP", uops) | ||
self.assertIn("_BUILD_TUPLE", uops) | ||
self.assertIn("_POP_CALL_TWO_LOAD_CONST_INLINE_BORROW", uops) | ||
def test_call_isinstance_tuple_of_classes_unknown_not_narrowed(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
# One of the classes is unknown, so we can't narrow | ||
# to True or False, only bool | ||
y = isinstance(42, (str, eval('int'))) | ||
if y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
uops = get_opnames(ex) | ||
self.assertIn("_CALL_ISINSTANCE", uops) | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertIn("_GUARD_IS_TRUE_POP", uops) | ||
def test_call_isinstance_empty_tuple(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
y = isinstance(42, ()) | ||
if not y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
uops = get_opnames(ex) | ||
self.assertNotIn("_CALL_ISINSTANCE", uops) | ||
self.assertNotIn("_TO_BOOL_BOOL", uops) | ||
self.assertNotIn("_GUARD_IS_FALSE_POP", uops) | ||
self.assertNotIn("_POP_TOP_LOAD_CONST_INLINE_BORROW", uops) | ||
self.assertNotIn("_POP_CALL_LOAD_CONST_INLINE_BORROW", uops) | ||
self.assertNotIn("_POP_CALL_ONE_LOAD_CONST_INLINE_BORROW", uops) | ||
self.assertNotIn("_POP_CALL_TWO_LOAD_CONST_INLINE_BORROW", uops) | ||
def test_call_isinstance_tuple_unknown_length(self): | ||
def testfunc(n): | ||
x = 0 | ||
for _ in range(n): | ||
# tuple with an unknown length, we only narrow to bool | ||
tup = tuple(eval('(int, str)')) | ||
y = isinstance(42, tup) | ||
if y: | ||
x += 1 | ||
return x | ||
res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD) | ||
self.assertEqual(res, TIER2_THRESHOLD) | ||
self.assertIsNotNone(ex) | ||
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,2 @@ | ||
Optimize ``_CALL_ISINSTANCE`` in the JIT when the second argument is a tuple | ||
of classes. |
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -938,6 +938,9 @@ dummy_func(void) { | ||
} | ||
op(_CALL_ISINSTANCE, (unused, unused, instance, cls -- res)) { | ||
// The below define is equivalent to PyObject_TypeCheck(inst, cls) | ||
#define sym_IS_SUBTYPE(inst, cls) ((inst) == (cls) || PyType_IsSubtype(inst, cls)) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others.Learn more. I'm not sure about this define, maybe it's fine to duplicate this logic? | ||
// the result is always a bool, but sometimes we can | ||
// narrow it down to True or False | ||
res = sym_new_type(ctx, &PyBool_Type); | ||
@@ -947,14 +950,54 @@ dummy_func(void) { | ||
// isinstance(inst, cls) where both inst and cls have | ||
// known types, meaning we can deduce either True or False | ||
PyObject *out = Py_False; | ||
if (sym_IS_SUBTYPE(inst_type, cls_o)) { | ||
out = Py_True; | ||
} | ||
sym_set_const(res, out); | ||
REPLACE_OP(this_instr, _POP_CALL_TWO_LOAD_CONST_INLINE_BORROW, 0, (uintptr_t)out); | ||
} | ||
else if (inst_type && sym_matches_type(cls, &PyTuple_Type)) { | ||
// isinstance(inst, tup) where inst has a known type and tup is a tuple. | ||
// We can deduce True if inst is an instance of at least one of | ||
// the items in the tuple. | ||
// We can deduce False if all items in the tuple have known types and | ||
// inst is not an instance of any of them. | ||
int length = sym_tuple_length(cls); | ||
if (length != -1) { | ||
// We cannot do anything about tuples with unknown length | ||
bool all_items_known = true; | ||
PyObject *out = NULL; | ||
for (int i = 0; i < length; i++) { | ||
JitOptSymbol *item = sym_tuple_getitem(ctx, cls, i); | ||
if (!sym_has_type(item)) { | ||
// There is an unknown item in the tuple, | ||
// we can no longer deduce False. | ||
all_items_known = false; | ||
continue; | ||
} | ||
PyTypeObject *cls_o = (PyTypeObject *)sym_get_const(ctx, item); | ||
if (cls_o && | ||
sym_matches_type(item, &PyType_Type) && | ||
sym_IS_SUBTYPE(inst_type, cls_o)) | ||
{ | ||
out = Py_True; | ||
break; | ||
} | ||
} | ||
if (!out && all_items_known) { | ||
// We haven't deduced True, but all items in the tuple are known | ||
// so we can deduce False | ||
out = Py_False; | ||
} | ||
if (out) { | ||
sym_set_const(res, out); | ||
REPLACE_OP(this_instr, _POP_CALL_TWO_LOAD_CONST_INLINE_BORROW, 0, (uintptr_t)out); | ||
} | ||
} | ||
} | ||
#undef sym_IS_SUBTYPE | ||
} | ||
op(_GUARD_IS_TRUE_POP, (flag -- )) { | ||
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