GH-126892: Reset warmup counters when JIT compiling code (GH-126893)

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Brandt Bucher 2024-11-20 08:11:25 -08:00 committed by GitHub
parent addb225f38
commit 48c50ff1a2
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GPG Key ID: B5690EEEBB952194
6 changed files with 48 additions and 39 deletions

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@ -91,7 +91,10 @@ def strace_python(code, strace_flags, check=True):
res, cmd_line = run_python_until_end(
"-c",
textwrap.dedent(code),
__run_using_command=[_strace_binary] + strace_flags)
__run_using_command=[_strace_binary] + strace_flags,
# Don't want to trace our JIT's own mmap and mprotect calls:
PYTHON_JIT="0",
)
except OSError as err:
return _make_error("Caught OSError", err)

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@ -1385,20 +1385,17 @@ class TestUopsOptimization(unittest.TestCase):
guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
self.assertEqual(guard_type_version_count, 1)
def test_guard_type_version_not_removed(self):
"""
Verify that the guard type version is not removed if we modify the class
"""
def test_guard_type_version_removed_invalidation(self):
def thing(a):
x = 0
for i in range(TIER2_THRESHOLD + 100):
for i in range(TIER2_THRESHOLD * 2 + 1):
x += a.attr
# for the first (TIER2_THRESHOLD + 90) iterations we set the attribute on this dummy function which shouldn't
# trigger the type watcher
# then after for the next 10 it should trigger it and stop optimizing
# Note that the code needs to be in this weird form so it's optimized inline without any control flow
setattr((Foo, Bar)[i < TIER2_THRESHOLD + 90], "attr", 2)
# The first TIER2_THRESHOLD iterations we set the attribute on
# this dummy class, which shouldn't trigger the type watcher.
# Note that the code needs to be in this weird form so it's
# optimized inline without any control flow:
setattr((Bar, Foo)[i == TIER2_THRESHOLD + 1], "attr", 2)
x += a.attr
return x
@ -1410,24 +1407,21 @@ class TestUopsOptimization(unittest.TestCase):
res, ex = self._run_with_optimizer(thing, Foo())
opnames = list(iter_opnames(ex))
self.assertIsNotNone(ex)
self.assertEqual(res, (TIER2_THRESHOLD * 2) + 219)
guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
self.assertEqual(guard_type_version_count, 2)
self.assertEqual(res, TIER2_THRESHOLD * 6 + 1)
call = opnames.index("_CALL_BUILTIN_FAST")
load_attr_top = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", 0, call)
load_attr_bottom = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", call)
self.assertEqual(opnames[:load_attr_top].count("_GUARD_TYPE_VERSION"), 1)
self.assertEqual(opnames[call:load_attr_bottom].count("_CHECK_VALIDITY"), 1)
@unittest.expectedFailure
def test_guard_type_version_not_removed_escaping(self):
"""
Verify that the guard type version is not removed if have an escaping function
"""
def test_guard_type_version_removed_escaping(self):
def thing(a):
x = 0
for i in range(100):
for i in range(TIER2_THRESHOLD):
x += a.attr
# eval should be escaping and so should cause optimization to stop and preserve both type versions
# eval should be escaping
eval("None")
x += a.attr
return x
@ -1437,12 +1431,12 @@ class TestUopsOptimization(unittest.TestCase):
res, ex = self._run_with_optimizer(thing, Foo())
opnames = list(iter_opnames(ex))
self.assertIsNotNone(ex)
self.assertEqual(res, 200)
guard_type_version_count = opnames.count("_GUARD_TYPE_VERSION")
# Note: This will actually be 1 for noe
# https://github.com/python/cpython/pull/119365#discussion_r1626220129
self.assertEqual(guard_type_version_count, 2)
self.assertEqual(res, TIER2_THRESHOLD * 2)
call = opnames.index("_CALL_BUILTIN_FAST_WITH_KEYWORDS")
load_attr_top = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", 0, call)
load_attr_bottom = opnames.index("_LOAD_ATTR_NONDESCRIPTOR_WITH_VALUES", call)
self.assertEqual(opnames[:load_attr_top].count("_GUARD_TYPE_VERSION"), 1)
self.assertEqual(opnames[call:load_attr_bottom].count("_CHECK_VALIDITY"), 1)
def test_guard_type_version_executor_invalidated(self):
"""

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@ -0,0 +1,2 @@
Require cold or invalidated code to "warm up" before being JIT compiled
again.

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@ -2624,15 +2624,16 @@ dummy_func(
}
_PyExecutorObject *executor;
int optimized = _PyOptimizer_Optimize(frame, start, stack_pointer, &executor, 0);
ERROR_IF(optimized < 0, error);
if (optimized) {
if (optimized <= 0) {
this_instr[1].counter = restart_backoff_counter(counter);
ERROR_IF(optimized < 0, error);
}
else {
this_instr[1].counter = initial_jump_backoff_counter();
assert(tstate->previous_executor == NULL);
tstate->previous_executor = Py_None;
GOTO_TIER_TWO(executor);
}
else {
this_instr[1].counter = restart_backoff_counter(counter);
}
}
else {
ADVANCE_ADAPTIVE_COUNTER(this_instr[1].counter);
@ -4875,6 +4876,9 @@ dummy_func(
tstate->previous_executor = (PyObject *)current_executor;
GOTO_TIER_ONE(target);
}
else {
exit->temperature = initial_temperature_backoff_counter();
}
}
exit->executor = executor;
}

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@ -5750,6 +5750,9 @@
tstate->previous_executor = (PyObject *)current_executor;
GOTO_TIER_ONE(target);
}
else {
exit->temperature = initial_temperature_backoff_counter();
}
}
exit->executor = executor;
}

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@ -5092,15 +5092,18 @@
_PyFrame_SetStackPointer(frame, stack_pointer);
int optimized = _PyOptimizer_Optimize(frame, start, stack_pointer, &executor, 0);
stack_pointer = _PyFrame_GetStackPointer(frame);
if (optimized < 0) goto error;
if (optimized) {
if (optimized <= 0) {
this_instr[1].counter = restart_backoff_counter(counter);
if (optimized < 0) goto error;
}
else {
_PyFrame_SetStackPointer(frame, stack_pointer);
this_instr[1].counter = initial_jump_backoff_counter();
stack_pointer = _PyFrame_GetStackPointer(frame);
assert(tstate->previous_executor == NULL);
tstate->previous_executor = Py_None;
GOTO_TIER_TWO(executor);
}
else {
this_instr[1].counter = restart_backoff_counter(counter);
}
}
else {
ADVANCE_ADAPTIVE_COUNTER(this_instr[1].counter);