Update gitcommit to 2.12

Signed-off-by: Tom Rix <Tom.Rix@amd.com>
This commit is contained in:
Tom Rix 2026-06-19 10:10:06 -07:00
commit 52842c0aea
5 changed files with 323 additions and 47 deletions

View file

@ -0,0 +1,110 @@
From a377729dc7fb711e43c0f59829580cc9c3f0522e Mon Sep 17 00:00:00 2001
From: jassad095 <joaopfassad@gmail.com>
Date: Mon, 1 Jun 2026 05:06:50 +0000
Subject: [PATCH] Fix functools.reduce polyfill signature mismatch on Python
3.15 (#185682)
## Summary
Python 3.15 will expose an introspectable signature for `functools.reduce` using a PEP 661 sentinel default: `(function, iterable, /, initial=functools._initial_missing)`. The CPython change is [#149591](https://github.com/python/cpython/pull/149591), which merged into CPython main on 2026-05-10, after 3.15.0b1 was tagged. So on 3.15.0b1 the default is still `<unrepresentable>` and `inspect.signature()` raises `ValueError`, which `substitute_in_graph` swallows and skips the check. From 3.15.0b2 the check will run.
When it runs, it compares positional parameter names, keyword-only names, and default values. The polyfill declares its own local sentinel:
```python
_initial_missing = object()
@substitute_in_graph(functools.reduce)
def reduce(function, iterable, initial=_initial_missing, /):
...
```
That local `object()` is a different instance from `functools._initial_missing`, so the defaults dict compares unequal and `substitute_in_graph` raises:
```
File ".../torch/_dynamo/polyfills/functools.py", line N, in <module>
@substitute_in_graph(functools.reduce)
TypeError: Signature mismatch between <built-in function reduce> and <function reduce at 0x...>:
(function, iterable, /, initial=_initial_missing)
!= (function, iterable, initial=<object object at 0x...>, /)
```
The polyfills loader imports every polyfill module, so this will break `import torch._dynamo` entirely on Python 3.15.0b2+. Same failure mode as #185403's `struct.pack` fix, just one step ahead of the next beta.
The fix imports `functools._initial_missing` instead of declaring a local one. The polyfill's internal `if initial is _initial_missing` identity check still works because both sides now reference the same object. No behavior change on any Python version. `functools._initial_missing` has existed in `functools` since well before 3.10 (it's used by the pure-Python `functools.reduce` fallback), so the import is safe on every supported version.
Part of #184352 (Python 3.15 support). Similar to #185403.
## Test plan
Verified on a locally-built Python 3.15-dev (CPython main at `heads/3.15:863c7e0`, which includes [#149591](https://github.com/python/cpython/pull/149591)). The upstream signature is exposed natively:
```
$ python3.15 -c "import functools, inspect; print(inspect.signature(functools.reduce))"
(function, iterable, /, initial=_initial_missing)
$ python3.15 -c "import functools, inspect; sig = inspect.signature(functools.reduce); print(sig.parameters['initial'].default is functools._initial_missing)"
True
```
Extracted the actual `substitute_in_graph` from `torch/_dynamo/decorators.py` and ran it against both polyfill versions with no monkey-patching.
Unmodified polyfill (`_initial_missing = object()` declared locally):
```
TypeError: Signature mismatch between <built-in function reduce> and <function unmodified_reduce at 0x...>:
(function, iterable, /, initial=_initial_missing)
!= (function, iterable, initial=<object object at 0x...>, /)
```
Fixed polyfill (`from functools import _initial_missing`): no `TypeError` at the signature check.
Regression on Python 3.12.13 (oldest currently supported):
```
$ python3 -c "import inspect, functools; inspect.signature(functools.reduce)"
ValueError: no signature found for builtin <built-in function reduce>
```
The signature check is silently skipped on Python <= 3.14, so the fix is a no-op there. `functools._initial_missing` is confirmed present on 3.12.13. Eager-vs-polyfill parity verified on every input shape:
```
reduce(lambda a, b: a+b, [1,2,3,4]) == 10 (matches functools.reduce)
reduce(lambda a, b: a+b, [1,2,3], 100) == 106 (matches)
reduce(lambda a, b: a+b, []) -> TypeError("reduce() of empty iterable with no initial value") (matches)
reduce(lambda a, b: a+b, [], 99) == 99 (matches)
```
Pre-commit checks: `python3 -m py_compile torch/_dynamo/polyfills/functools.py` and `git diff --staged --check` both clean.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/185682
Approved by: https://github.com/ezyang
Co-authored-by: Edward Z. Yang via mergedog <ezyang@meta.com>
---
torch/_dynamo/polyfills/functools.py | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/torch/_dynamo/polyfills/functools.py b/torch/_dynamo/polyfills/functools.py
index 6458b8080f93..9ba14888056b 100644
--- a/torch/_dynamo/polyfills/functools.py
+++ b/torch/_dynamo/polyfills/functools.py
@@ -4,6 +4,7 @@ Python polyfills for functools
import functools
from collections.abc import Callable, Iterable
+from functools import _initial_missing # type: ignore[attr-defined]
from typing import TypeVar
from ..decorators import substitute_in_graph
@@ -16,9 +17,6 @@ _T = TypeVar("_T")
_U = TypeVar("_U")
-_initial_missing = object()
-
-
# Reference: https://docs.python.org/3/library/functools.html#functools.reduce
@substitute_in_graph(functools.reduce)
def reduce(
--
2.53.0

View file

@ -0,0 +1,64 @@
From 7b9106b6c4c1da71e30e7e63b2248b01c61a3210 Mon Sep 17 00:00:00 2001
From: Klaus Zimmermann <klaus.zimmermann@quansight.com>
Date: Fri, 29 May 2026 17:56:12 +0000
Subject: [PATCH] Fix struct.pack polyfill signature mismatch on Python 3.15
(#185403)
## Summary
Python 3.15 gives the builtin `struct.pack` an introspectable signature, `(format, /, *values)`. `substitute_in_graph` validates that a polyfill's signature matches the original builtin's, comparing positional-only parameter names. The `struct.pack` polyfill declared its positional-only parameter as `fmt`, mismatching `format`, so `substitute_in_graph` raised `TypeError` at import time:
```
File ".../torch/_dynamo/polyfills/struct.py", line 20, in <module>
@substitute_in_graph(struct.pack, can_constant_fold_through=True)
TypeError: Signature mismatch between <built-in function pack> and <function pack ...>:
(format, /, *values) != (fmt: 'bytes | str', /, *v: 'Any') -> 'bytes'
```
The polyfills loader eagerly imports every polyfill module, so this broke `import torch._dynamo` entirely on 3.15, failing every py3.15/3.15t binary test job (the smoke test imports `torch._dynamo`). On Python <= 3.14 the builtin has no introspectable signature, so the check is skipped and the mismatch went unnoticed.
The fix renames the parameter to `format` to match the builtin. The sibling `unpack` polyfill already uses `format`. The var-positional name (`*v`) is irrelevant here because `substitute_in_graph` ignores `VAR_POSITIONAL` parameter names.
Part of #184352 (Python 3.15 support).
## Test plan
Local introspection confirms there is no regression on older Pythons and that `format` is the canonical name where a signature is exposed:
```
$ python --version
Python 3.10.19
$ python -c "import inspect, struct; print(inspect.signature(struct.pack))"
ValueError: no signature found for builtin <built-in function pack>
$ python -c "import inspect, struct; print(inspect.signature(struct.unpack))"
(format, buffer, /)
```
On <= 3.14 `struct.pack` has no signature, so the `substitute_in_graph` check is skipped and the rename is a no-op there. The 3.15 failure reproduces only in the py3.15 binary smoke test (`manywheel-py3_15-*-test`); needs `ciflow/binaries` to validate.
Authored by Claude.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/185403
Approved by: https://github.com/guilhermeleobas, https://github.com/rtimpe
---
torch/_dynamo/polyfills/struct.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/torch/_dynamo/polyfills/struct.py b/torch/_dynamo/polyfills/struct.py
index f4522a12f732..4077a7f05788 100644
--- a/torch/_dynamo/polyfills/struct.py
+++ b/torch/_dynamo/polyfills/struct.py
@@ -18,8 +18,8 @@ __all__ = [
@substitute_in_graph(struct.pack, can_constant_fold_through=True) # type: ignore[arg-type]
-def pack(fmt: bytes | str, /, *v: Any) -> bytes:
- return struct.pack(fmt, *v)
+def pack(format: bytes | str, /, *v: Any) -> bytes:
+ return struct.pack(format, *v)
@substitute_in_graph(struct.unpack, can_constant_fold_through=True) # type: ignore[arg-type]
--
2.53.0

44
inject.py Executable file
View file

@ -0,0 +1,44 @@
#!/usr/bin/env python3
"""
inject_build_options.py
Runtime stub for injecting PyTorch CMake build flags.
Designed to be called pre-build (e.g., via a wrapper script or sitecustomize.py).
"""
import os
from typing import Dict, Any
def read_environment() -> Dict[str, str]:
"""Reads and prints environment variables in dictionary format."""
# Using double quotes to match the MOCK_DEFAULTS dictionary style exactly
print("# Current Environment Variables (Formatted for injection):")
use_variables: Dict[str, Any] = {}
for key in sorted(os.environ.keys()):
if key.startswith("USE_") or key.startswith("CMAKE_") :
value = os.environ[key]
print(f' "{key}": "{value}",')
use_variables[key] = value
return use_variables
def build_options(build_options: Dict[str, Any]) -> Dict[str, Any] :
"""
Injects build configuration into the PyTorch CMake build process.
"""
options = read_environment()
build_options.update(options)
return build_options
if __name__ == "__main__":
MOCK_DEFAULTS = {
# Core CMake
"CMAKE_BUILD_TYPE": "RelWithDebInfo",
"CMAKE_FIND_PACKAGE_PREFER_CONFIG": "ON",
"CAFFE2_LINK_LOCAL_PROTOBUF": "OFF",
}
new_options = build_options(MOCK_DEFAULTS)
for key in new_options:
print(f"{key}: {new_options[key]}")

View file

@ -4,7 +4,7 @@
requires = [
# 70.1.0: min version for integrated bdist_wheel command from wheel package
# 77.0.0: min version for SPDX expression support for project.license
"setuptools>=70.1.0,<80.0",
"setuptools>=70.1.0,<82",
"cmake>=3.27",
"ninja",
"numpy",
@ -45,7 +45,7 @@ dev = [
"optree>=0.13.0",
"psutil",
"sympy>=1.13.3",
"typing-extensions>=4.13.2",
"typing-extensions>=4.15.0",
"wheel",
]
@ -115,6 +115,10 @@ multi_line_output = 3
include_trailing_comma = true
combine_as_imports = true
[tool.usort]
preserve_inline_comments = true
collapse_blank_lines_in_category = false
[tool.usort.known]
first_party = ["caffe2", "torch", "torchgen", "functorch", "test"]
standard_library = ["typing_extensions"]
@ -122,6 +126,10 @@ standard_library = ["typing_extensions"]
[tool.ruff]
line-length = 88
src = ["caffe2", "torch", "torchgen", "functorch", "test"]
extend-exclude = ["third_party", "test/dynamo/cpython"]
[tool.ruff.per-file-target-version]
"**/py312_intrinsics.py" = "py312"
[tool.ruff.format]
docstring-code-format = true
@ -130,21 +138,29 @@ quote-style = "double"
[tool.ruff.lint]
# NOTE: Synchoronize the ignores with .flake8
external = [
"B001",
"B902",
"B950",
"E121",
"E122",
"E128",
"E131",
"E704",
"E723",
"F723",
"F812",
# Codes from flake8-only plugins that ruff doesn't implement.
"P201",
"P204",
"T484",
"TOR901",
# Codes that are preview-only in ruff, so flake8 is still the enforcer.
# As ruff promotes these out of preview, move them to flake8's ignore list.
"B901",
"B909",
"E115",
"E201",
"E221",
"E225",
"E226",
"E227",
"E231",
"E241",
"E261",
"E262",
"E265",
"E266",
"E272",
"E306",
]
ignore = [
# these ignores are from flake8-bugbear; please fix!
@ -155,13 +171,10 @@ ignore = [
"E402",
"C408", # C408 ignored because we like the dict keyword argument syntax
"E501", # E501 is not flexible enough, we're using B950 instead
"E721",
"E741",
"EXE001",
"F405",
"FURB122", # writelines
# these ignores are from flake8-logging-format; please fix!
"G101",
# these ignores are from ruff NPY; please fix!
"NPY002",
# these ignores are from ruff PERF; please fix!
@ -175,22 +188,14 @@ ignore = [
"SIM102", "SIM103", "SIM112", # flake8-simplify code styles
"SIM105", # these ignores are from flake8-simplify. please fix or ignore with commented reason
"SIM108", # SIM108 ignored because we prefer if-else-block instead of ternary expression
"SIM110",
"SIM110", # Checks for for loops that can be replaced with a builtin function, like any or all.
"SIM114", # Combine `if` branches using logical `or` operator
"SIM115",
"SIM116", # Disable Use a dictionary instead of consecutive `if` statements
"SIM117",
"SIM118",
"UP007", # keep-runtime-typing
"UP045", # keep-runtime-typing
"SIM300", # Yoda condition detected
"TC006",
# TODO: Remove Python-3.10 specific suppressions
"B905",
"UP035",
"UP036",
"UP038",
"UP041",
"FURB161",
]
select = [
"B",
@ -200,8 +205,7 @@ select = [
"E",
"EXE",
"F",
"SIM1",
"SIM911",
"SIM",
"W",
# Not included in flake8
"FURB",
@ -209,21 +213,19 @@ select = [
"NPY",
"PERF",
"PGH004",
"PIE790",
"PIE794",
"PIE800",
"PIE804",
"PIE807",
"PIE810",
"PIE",
"PLC0131", # type bivariance
"PLC0132", # type param mismatch
"PLC1802", # len({expression}) used as condition without comparison
"PLC0205", # string as __slots__
"PLC3002", # unnecessary-direct-lambda-call
"PLC0414", # Import alias does not rename original package
"PLE",
"PLR0133", # constant comparison
"PLR0206", # property with params
"PLR1722", # use sys exit
"PLR1736", # unnecessary list index
"PLW0127", # Self-assignment of variable
"PLW0129", # assert on string literal
"PLW0131", # named expr without context
"PLW0133", # useless exception statement
@ -246,6 +248,7 @@ select = [
"Q003", # avoidable escaped quote
"Q004", # unnecessary escaped quote
"RSE",
"RUF007", # pairwise over zip
"RUF008", # mutable dataclass default
"RUF013", # ban implicit optional
"RUF015", # access first ele in constant time
@ -269,12 +272,9 @@ select = [
"TRY401", # verbose-log-message
"UP",
"YTT",
"S101",
]
[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true
[tool.ruff.lint.per-file-ignores]
"__init__.py" = [
"F401",
@ -284,11 +284,11 @@ keep-runtime-typing = true
"PYI021", # docstring-in-stub
"PYI053", # string-or-bytes-too-long
]
"functorch/notebooks/**" = [
"functorch/docs/source/tutorials/**" = [
"F401",
]
"test/export/**" = [
"PGH004"
"PGH004",
]
"test/typing/**" = [
"PGH004"
@ -349,5 +349,27 @@ keep-runtime-typing = true
"LOG015" # please fix
]
# torch/ folders still needing S101 migration
"torch/_dynamo/**" = ["S101"]
"torch/_inductor/**" = ["S101"]
[tool.codespell]
ignore-words = "tools/linter/dictionary.txt"
[tool.spin]
package = 'torch'
[tool.spin.commands]
"Build" = [
".spin/cmds.py:clean",
".spin/cmds.py:lint",
".spin/cmds.py:fixlint",
".spin/cmds.py:quicklint",
".spin/cmds.py:quickfix",
]
"Regenerate" = [
".spin/cmds.py:regenerate_version",
".spin/cmds.py:regenerate_type_stubs",
".spin/cmds.py:regenerate_clangtidy_files",
".spin/cmds.py:regenerate_github_workflows",
]

View file

@ -6,15 +6,14 @@
# So pre releases can be tried
%bcond_with gitcommit
%if %{with gitcommit}
# v2.11.0-rc6 (really v2.11)
%global commit0 70d99e998b4955e0049d13a98d77ae1b14db1f45
# v2.12.0 (really v2.12)
%global commit0 0d62256a2b23365f8e1604297eb23a6545102aa8
%global shortcommit0 %(c=%{commit0}; echo ${c:0:7})
%global date0 20260320
%global pypi_version 2.11.0
%global date0 20260511
%global pypi_version 2.12.0
%global flatbuffers_version 24.12.23
%global miniz_version 3.0.2
%global pybind11_version 3.0.1
%global rc_tag -rc6
%else
%global pypi_version 2.11.0
%global flatbuffers_version 24.12.23
@ -53,8 +52,12 @@
%if 0%{?fedora}
%bcond_without eigen3
%bcond_without onnx
%if %{with gitcommit}
%bcond_with protobuf
%else
%bcond_without protobuf
%bcond_without setuptools
%endif
%bcond_with setuptools
%bcond_without sympy
%else
%bcond_with eigen3
@ -79,6 +82,12 @@ URL: https://pytorch.org/
%if %{with gitcommit}
Source0: %{forgeurl}/archive/%{commit0}/pytorch-%{shortcommit0}.tar.gz
Source1000: pyproject.toml
Source1001: inject.py
# Problems with python 3.15
Patch1: 0001-Fix-functools.reduce-polyfill-signature-mismatch-on-.patch
Patch2: 0001-Fix-struct.pack-polyfill-signature-mismatch-on-Pytho.patch
%else
Source0: %{forgeurl}/releases/download/v%{version}/pytorch-v%{version}.tar.gz
%endif
@ -108,7 +117,11 @@ Source70: https://github.com/yhirose/cpp-httplib/archive/%{hl_commit}/cpp-
%endif
%if %{without kineto}
%if %{with gitcommit}
%global ki_commit b2103f78d13fde4937af010c0ef8e24313568bc5
%else
%global ki_commit 7a731b6ae01cfc2b1fc75d83a91f84e682e43fd7
%endif
%global ki_scommit %(c=%{ki_commit}; echo ${c:0:7})
Source80: https://github.com/pytorch/kineto/archive/%{ki_commit}/kineto-%{ki_scommit}.tar.gz
%endif
@ -217,6 +230,9 @@ BuildRequires: ninja-build
%endif
%if %{with rocm}
%if %{with gitcommit}
BuildRequires: amdsmi-devel
%endif
BuildRequires: hipblas-devel
BuildRequires: hipblaslt-devel
BuildRequires: hipcub-devel
@ -313,6 +329,21 @@ Requires: python3-%{pypi_name}%{?_isa} = %{version}-%{release}
# Overwrite with a git checkout of the pyproject.toml
cp %{SOURCE1000} .
# to fix handling of environment variable
# comment out broken
sed -i -e 's@include(cmake/EnvVarForwarding.cmake)@#include(cmake/EnvVarForwarding.cmake)@' CMakeLists.txt
# copy new environment reading function in
cp %{SOURCE1001} tools/setup_helpers/
# patch in the function
sed -i '/import sysconfig.*/afrom . import inject' tools/setup_helpers/cmake.py
# patch in the call
sed -i -E 's@# NVSHMEM .*@inject.build_options(build_options)@' tools/setup_helpers/cmake.py
# System setuptools is too new
sed -i -e 's@setuptools>=70.1.0,<82@setuptools@' pyproject.toml
sed -i -e 's@setuptools>=70.1.0,<82@setuptools@' requirements-build.txt
sed -i -e 's@setuptools<82@setuptools@' setup.py
%else
%autosetup -p1 -n pytorch-v%{version}
@ -577,6 +608,9 @@ sed -i -e 's@HIP 1.0@HIP MODULE@' cmake/public/LoadHIP.cmake
# moodycamel include path needs adjusting to use the system's
sed -i -e 's@${PROJECT_SOURCE_DIR}/third_party/concurrentqueue@/usr/include/concurrentqueue@' cmake/Dependencies.cmake
# Do not default on MSLK
sed -i -e 's@USE_MSLK_DEFAULT ON@USE_MSLK_DEFAULT OFF@' CMakeLists.txt
%build
# Export the arches
@ -651,6 +685,7 @@ export USE_MSLK=OFF
export USE_NCCL=OFF
export USE_NNPACK=OFF
export USE_NUMPY=ON
export USE_NVSHMEM=OFF
export USE_OPENMP=ON
export USE_PYTORCH_QNNPACK=OFF
export USE_ROCM=OFF
@ -705,7 +740,8 @@ export ROCM_PATH=`hipconfig -R`
# pytorch uses clang, not hipcc
export HIP_CLANG_PATH=%{rocmllvm_bindir}
export PYTORCH_ROCM_ARCH=%{rocm_gpu_list_default}
# export PYTORCH_ROCM_ARCH=%{rocm_gpu_list_default}
export PYTORCH_ROCM_ARCH=gfx1151
%endif