mirror of https://github.com/python/cpython
GH-126892: Reset warmup counters when JIT compiling code (GH-126893)
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addb225f38
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@ -91,7 +91,10 @@ def strace_python(code, strace_flags, check=True):
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res, cmd_line = run_python_until_end(
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"-c",
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textwrap.dedent(code),
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__run_using_command=[_strace_binary] + strace_flags)
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__run_using_command=[_strace_binary] + strace_flags,
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# Don't want to trace our JIT's own mmap and mprotect calls:
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PYTHON_JIT="0",
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)
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except OSError as err:
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return _make_error("Caught OSError", err)
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@ -1385,20 +1385,17 @@ class TestUopsOptimization(unittest.TestCase):
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guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
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self.assertEqual(guard_type_version_count, 1)
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def test_guard_type_version_not_removed(self):
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"""
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Verify that the guard type version is not removed if we modify the class
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"""
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def test_guard_type_version_removed_invalidation(self):
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def thing(a):
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x = 0
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for i in range(TIER2_THRESHOLD + 100):
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for i in range(TIER2_THRESHOLD * 2 + 1):
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x += a.attr
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# for the first (TIER2_THRESHOLD + 90) iterations we set the attribute on this dummy function which shouldn't
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# trigger the type watcher
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# then after for the next 10 it should trigger it and stop optimizing
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# Note that the code needs to be in this weird form so it's optimized inline without any control flow
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setattr((Foo, Bar)[i < TIER2_THRESHOLD + 90], "attr", 2)
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# The first TIER2_THRESHOLD iterations we set the attribute on
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# this dummy class, which shouldn't trigger the type watcher.
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# Note that the code needs to be in this weird form so it's
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# optimized inline without any control flow:
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setattr((Bar, Foo)[i == TIER2_THRESHOLD + 1], "attr", 2)
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x += a.attr
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return x
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@ -1410,24 +1407,21 @@ class TestUopsOptimization(unittest.TestCase):
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res, ex = self._run_with_optimizer(thing, Foo())
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opnames = list(iter_opnames(ex))
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self.assertIsNotNone(ex)
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self.assertEqual(res, (TIER2_THRESHOLD * 2) + 219)
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guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
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self.assertEqual(guard_type_version_count, 2)
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self.assertEqual(res, TIER2_THRESHOLD * 6 + 1)
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call = opnames.index("_CALL_BUILTIN_FAST")
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load_attr_top = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", 0, call)
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load_attr_bottom = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", call)
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self.assertEqual(opnames[:load_attr_top].count("_GUARD_TYPE_VERSION"), 1)
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self.assertEqual(opnames[call:load_attr_bottom].count("_CHECK_VALIDITY"), 1)
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@unittest.expectedFailure
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def test_guard_type_version_not_removed_escaping(self):
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"""
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Verify that the guard type version is not removed if have an escaping function
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"""
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def test_guard_type_version_removed_escaping(self):
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def thing(a):
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x = 0
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for i in range(100):
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for i in range(TIER2_THRESHOLD):
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x += a.attr
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# eval should be escaping and so should cause optimization to stop and preserve both type versions
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# eval should be escaping
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eval("None")
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x += a.attr
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return x
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@ -1437,12 +1431,12 @@ class TestUopsOptimization(unittest.TestCase):
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res, ex = self._run_with_optimizer(thing, Foo())
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opnames = list(iter_opnames(ex))
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self.assertIsNotNone(ex)
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self.assertEqual(res, 200)
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guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
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# Note: This will actually be 1 for noe
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# https://github.com/python/cpython/pull/119365#discussion_r1626220129
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self.assertEqual(guard_type_version_count, 2)
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self.assertEqual(res, TIER2_THRESHOLD * 2)
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call = opnames.index("_CALL_BUILTIN_FAST_WITH_KEYWORDS")
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load_attr_top = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", 0, call)
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load_attr_bottom = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", call)
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self.assertEqual(opnames[:load_attr_top].count("_GUARD_TYPE_VERSION"), 1)
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self.assertEqual(opnames[call:load_attr_bottom].count("_CHECK_VALIDITY"), 1)
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def test_guard_type_version_executor_invalidated(self):
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"""
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@ -0,0 +1,2 @@
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Require cold or invalidated code to "warm up" before being JIT compiled
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again.
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@ -2624,15 +2624,16 @@ dummy_func(
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}
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_PyExecutorObject *executor;
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int optimized = _PyOptimizer_Optimize(frame, start, stack_pointer, &executor, 0);
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ERROR_IF(optimized < 0, error);
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if (optimized) {
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if (optimized <= 0) {
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this_instr[1].counter = restart_backoff_counter(counter);
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ERROR_IF(optimized < 0, error);
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}
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else {
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this_instr[1].counter = initial_jump_backoff_counter();
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assert(tstate->previous_executor == NULL);
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tstate->previous_executor = Py_None;
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GOTO_TIER_TWO(executor);
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}
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else {
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this_instr[1].counter = restart_backoff_counter(counter);
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}
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}
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else {
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ADVANCE_ADAPTIVE_COUNTER(this_instr[1].counter);
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@ -4875,6 +4876,9 @@ dummy_func(
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tstate->previous_executor = (PyObject *)current_executor;
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GOTO_TIER_ONE(target);
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}
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else {
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exit->temperature = initial_temperature_backoff_counter();
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}
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}
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exit->executor = executor;
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}
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@ -5750,6 +5750,9 @@
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tstate->previous_executor = (PyObject *)current_executor;
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GOTO_TIER_ONE(target);
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}
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else {
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exit->temperature = initial_temperature_backoff_counter();
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}
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}
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exit->executor = executor;
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}
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@ -5092,15 +5092,18 @@
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_PyFrame_SetStackPointer(frame, stack_pointer);
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int optimized = _PyOptimizer_Optimize(frame, start, stack_pointer, &executor, 0);
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stack_pointer = _PyFrame_GetStackPointer(frame);
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if (optimized < 0) goto error;
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if (optimized) {
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if (optimized <= 0) {
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this_instr[1].counter = restart_backoff_counter(counter);
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if (optimized < 0) goto error;
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}
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else {
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_PyFrame_SetStackPointer(frame, stack_pointer);
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this_instr[1].counter = initial_jump_backoff_counter();
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stack_pointer = _PyFrame_GetStackPointer(frame);
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assert(tstate->previous_executor == NULL);
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tstate->previous_executor = Py_None;
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GOTO_TIER_TWO(executor);
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}
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else {
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this_instr[1].counter = restart_backoff_counter(counter);
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}
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}
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else {
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ADVANCE_ADAPTIVE_COUNTER(this_instr[1].counter);
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