8000 gh-118335: Configure Tier 2 interpreter at build time (#118339) · python/cpython@7d83f7b · GitHub
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gh-118335: Configure Tier 2 interpreter at build time (#118339)
The code for Tier 2 is now only compiled when configured with `--enable-experimental-jit[=yes|interpreter]`. We drop support for `PYTHON_UOPS` and -`Xuops`, but you can disable the interpreter or JIT at runtime by setting `PYTHON_JIT=0`. You can also build it without enabling it by default using `--enable-experimental-jit=yes-off`; enable with `PYTHON_JIT=1`. On Windows, the `build.bat` script supports `--experimental-jit`, `--experimental-jit-off`, `--experimental-interpreter`. In the C code, `_Py_JIT` is defined as before when the JIT is enabled; the new variable `_Py_TIER2` is defined when the JIT *or* the interpreter is enabled. It is actually a bitmask: 1: JIT; 2: default-off; 4: interpreter.
1 parent 9c468e2 commit 7d83f7b

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‎Doc/whatsnew/3.13.rst

Lines changed: 23 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -888,7 +888,7 @@ Experimental JIT Compiler
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=========================
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When CPython is configured using the ``--enable-experimental-jit`` option,
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a just-in-time compiler is added which can speed up some Python programs.
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a just-in-time compiler is added which may speed up some Python programs.
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The internal architecture is roughly as follows.
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@@ -905,19 +905,35 @@ The internal architecture is roughly as follows.
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before it is interpreted or translated to machine code.
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* There is a Tier 2 interpreter, but it is mostly intended for debugging
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the earlier stages of the optimization pipeline. If the JIT is not
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enabled, the Tier 2 interpreter can be invoked by passing Python the
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``-X uops`` option or by setting the ``PYTHON_UOPS`` environment
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variable to ``1``.
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the earlier stages of the optimization pipeline.
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The Tier 2 interpreter can be enabled by configuring Python
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with ``--enable-experimental-jit=interpreter``.
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* When the ``--enable-experimental-jit`` option is used, the optimized
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* When the JIT is enabled, the optimized
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Tier 2 IR is translated to machine code, which is then executed.
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This does not require additional runtime options.
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* The machine code translation process uses an architecture called
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*copy-and-patch*. It has no runtime dependencies, but there is a new
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build-time dependency on LLVM.
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The ``--enable-experimental-jit`` flag has the following optional values:
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* ``no`` (default) -- Disable the entire Tier 2 and JIT pipeline.
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* ``yes`` (default if the flag is present without optional value)
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-- Enable the JIT. To disable the JIT at runtime,
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pass the environment variable ``PYTHON_JIT=0``.
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* ``yes-off`` -- Build the JIT but disable it by default.
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To enable the JIT at runtime, pass the environment variable
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``PYTHON_JIT=1``.
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* ``interpreter`` -- Enable the Tier 2 interpreter but disable the JIT.
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The interpreter can be disabled by running with
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``PYTHON_JIT=0``.
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(On Windows, use ``PCbuild/build.bat --enable-jit`` to enable the JIT.)
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See :pep:`744` for more details.
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(JIT by Brandt Bucher, inspired by a paper by Haoran Xu and Fredrik Kjolstad.

‎Include/internal/pycore_opcode_metadata.h

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‎Include/internal/pycore_uop_metadata.h

Lines changed: 1 addition & 1 deletion
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‎Lib/dis.py

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Original file line numberDiff line numberDiff line change
@@ -216,7 +216,7 @@ def _get_code_array(co, adaptive):
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if op == ENTER_EXECUTOR:
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try:
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ex = get_executor(co, i)
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except ValueError:
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except (ValueError, RuntimeError):
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ex = None
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if ex:

‎Lib/test/support/__init__.py

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Original file line numberDiff line numberDiff line change
@@ -2539,17 +2539,17 @@ def exceeds_recursion_limit():
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# Decorator to disable optimizer while a function run
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def without_optimizer(func):
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try:
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import _testinternalcapi
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from _testinternalcapi import get_optimizer, set_optimizer
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except ImportError:
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return func
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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save_opt = _testinternalcapi.get_optimizer()
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save_opt = get_optimizer()
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try:
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_testinternalcapi.set_optimizer(None)
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set_optimizer(None)
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return func(*args, **kwargs)
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finally:
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_testinternalcapi.set_optimizer(save_opt)
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set_optimizer(save_opt)
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return wrapper
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‎Lib/test/test_capi/test_opt.py

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Original file line numberDiff line numberDiff line change
@@ -34,6 +34,8 @@ def clear_executors(func):
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@requires_specialization
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@unittest.skipUnless(hasattr(_testinternalcapi, "get_optimizer"),
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"Requires optimizer infrastructure")
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class TestOptimizerAPI(unittest.TestCase):
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def test_new_counter_optimizer_dealloc(self):
@@ -136,6 +138,8 @@ def get_opnames(ex):
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@requires_specialization
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@unittest.skipUnless(hasattr(_testinternalcapi, "get_optimizer"),
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"Requires optimizer infrastructure")
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class TestExecutorInvalidation(unittest.TestCase):
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def setUp(self):
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@requires_specialization
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@unittest.skipUnless(hasattr(_testinternalcapi, "get_optimizer"),
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"Requires optimizer infrastructure")
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@unittest.skipIf(os.getenv("PYTHON_UOPS_OPTIMIZE") == "0", "Needs uop optimizer to run.")
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class TestUops(unittest.TestCase):
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@@ -579,6 +585,8 @@ def testfunc(n):
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@requires_specialization
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@unittest.skipUnless(hasattr(_testinternalcapi, "get_optimizer"),
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"Requires optimizer infrastructure")
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@unittest.skipIf(os.getenv("PYTHON_UOPS_OPTIMIZE") == "0", "Needs uop optimizer to run.")
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class TestUopsOptimization(unittest.TestCase):
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‎Lib/test/test_monitoring.py

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@@ -1831,15 +1831,17 @@ class TestOptimizer(MonitoringTestBase, unittest.TestCase):
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def setUp(self):
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_testinternalcapi = import_module("_testinternalcapi")
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self.old_opt = _testinternalcapi.get_optimizer()
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opt = _testinternalcapi.new_counter_optimizer()
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_testinternalcapi.set_optimizer(opt)
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if hasattr(_testinternalcapi, "get_optimizer"):
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self.old_opt = _testinternalcapi.get_optimizer()
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opt = _testinternalcapi.new_counter_optimizer()
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_testinternalcapi.set_optimizer(opt)
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super(TestOptimizer, self).setUp()
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def tearDown(self):
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super(TestOptimizer, self).tearDown()
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import _testinternalcapi
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_testinternalcapi.set_optimizer(self.old_opt)
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if hasattr(_testinternalcapi, "get_optimizer"):
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_testinternalcapi.set_optimizer(self.old_opt)
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def test_for_loop(self):
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def test_func(x):

‎Lib/test/test_opcache.py

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@@ -16,6 +16,8 @@
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def disabling_optimizer(func):
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def wrapper(*args, **kwargs):
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if not hasattr(_testinternalcapi, "get_optimizer"):
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return func(*args, **kwargs)
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old_opt = _testinternalcapi.get_optimizer()
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_testinternalcapi.set_optimizer(None)
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try:

‎Lib/test/test_optimizer.py

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Original file line numberDiff line numberDiff line change
@@ -80,6 +80,8 @@ def func(x=0):
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class TestOptimizerSymbols(unittest.TestCase):
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@unittest.skipUnless(hasattr(_testinternalcapi, "uop_symbols_test"),
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"requires _testinternalcapi.uop_symbols_test")
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def test_optimizer_symbols(self):
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_testinternalcapi.uop_symbols_test()
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‎Lib/test/test_weakref.py

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@@ -17,6 +17,7 @@
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from test.support import gc_collect
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from test.support import import_helper
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from test.support import threading_helper
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from test.support import is_wasi, Py_DEBUG
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# Used in ReferencesTestCase.test_ref_created_during_del() .
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ref_from_del = None
@@ -960,6 +961,7 @@ def test_hashing(self):
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self.assertEqual(hash(a), hash(42))
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self.assertRaises(TypeError, hash, b)
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@unittest.skipIf(is_wasi and Py_DEBUG, "requires deep stack")
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def test_trashcan_16602(self):
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# Issue #16602: when a weakref's target was part of a long
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# deallocation chain, the trashcan mechanism could delay clearing

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