Build with GCC, fixes build of 2.13.0 on aarch64

Current formula counts CPUs in first socket only. This change counts
all physical cores in all sockets.

I have system with two socket (each of them has 28 cores. As result the job is
running with `-j 28` instead of `-j 112` and building at 25% utilization.

.gitignore

@@ -33,3 +33,12 @@
 /pytorch-v2.9.1.tar.gz
 /v3.19.6.tar.gz
 /v80.9.0.tar.gz
+/pytorch-v2.10.0.tar.gz
+/pytorch-v2.11.0.tar.gz
+/MSLK-3d332d1.tar.gz
+/cpp-httplib-bd95e67.tar.gz
+/kineto-7a731b6.tar.gz
+/kineto-b2103f7.tar.gz
+/pytorch-v2.12.0.tar.gz
+/v3.0.1.tar.gz
+/pytorch-v2.13.0.tar.gz

0001-Fix-functools.reduce-polyfill-signature-mismatch-on-.patch

@@ -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
+

0001-Fix-struct.pack-polyfill-signature-mismatch-on-Pytho.patch

@@ -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
+

0001-python-torch-check-if-tuning_cache-exists.patch

@@ -0,0 +1,40 @@
+From 4a58e5ebe5263d5dd5e5c44f28bce0ce256438f9 Mon Sep 17 00:00:00 2001
+From: Tom Rix <Tom.Rix@amd.com>
+Date: Tue, 17 Feb 2026 08:11:25 -0800
+Subject: [PATCH] python-torch check if tuning_cache exists
+
+---
+ tools/amd_build/build_amd.py | 9 +++++----
+ 1 file changed, 5 insertions(+), 4 deletions(-)
+
+diff --git a/tools/amd_build/build_amd.py b/tools/amd_build/build_amd.py
+index b2c2461a0888..2570730ce498 100755
+--- a/tools/amd_build/build_amd.py
++++ b/tools/amd_build/build_amd.py
+@@ -225,9 +225,9 @@ fbgemm_dir = (
+     / "third_party/fbgemm/fbgemm_gpu/experimental/gen_ai/src/quantize/common/include/fbgemm_gpu/quantize"
+ )
+ 
+-if not buck_build:
+-    fbgemm_original = fbgemm_dir / "tuning_cache.cuh"
++fbgemm_original = fbgemm_dir / "tuning_cache.cuh"
+ 
++if not buck_build and os.path.exists(fbgemm_original):
+     extra_files.append(fbgemm_original.as_posix())
+ 
+ hipify_python.hipify(
+@@ -240,8 +240,9 @@ hipify_python.hipify(
+     hip_clang_launch=is_hip_clang(),
+ )
+ 
+-if not buck_build:
+-    fbgemm_move_src = fbgemm_dir / "hip/tuning_cache.cuh"
++fbgemm_move_src = fbgemm_dir / "hip/tuning_cache.cuh"
++
++if not buck_build and os.path.exists(fbgemm_move_src):
+     fbgemm_move_dst = fbgemm_dir / "tuning_cache_hip.cuh"
+ 
+     # only update the file if it changes or doesn't exist
+-- 
+2.52.0
+

0001-pytorch-fmt.patch

@@ -0,0 +1,54 @@
+From afdeb01359eecc67b573bcfb4f164ec81a1c7197 Mon Sep 17 00:00:00 2001
+From: Tom Rix <Tom.Rix@amd.com>
+Date: Mon, 17 Aug 2026 15:59:39 -0700
+Subject: [PATCH] pytorch fmt
+
+---
+ cmake/Dependencies.cmake | 31 -------------------------------
+ 1 file changed, 31 deletions(-)
+
+diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake
+index f7f938988c8e..d84eea5f1129 100644
+--- a/cmake/Dependencies.cmake
++++ b/cmake/Dependencies.cmake
+@@ -1635,37 +1635,6 @@ endif()
+ # End ATen checks
+ #
+ 
+-# Install `fmtlib` header.
+-# This was the default behavior before version 12.0.0.
+-# Since PyTorch C API depends on it, make it available for projects that
+-# depend on PyTorch.
+-set(FMT_INSTALL ON)
+-set(TEMP_BUILD_SHARED_LIBS ${BUILD_SHARED_LIBS})
+-set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build shared libs" FORCE)
+-add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)
+-
+-# Disable compiler feature checks for `fmt`.
+-#
+-# CMake compiles a little program to check compiler features. Some of our build
+-# configurations (notably the mobile build analyzer) will populate
+-# CMAKE_CXX_FLAGS in ways that break feature checks. Since we already know
+-# `fmt` is compatible with a superset of the compilers that PyTorch is, it
+-# shouldn't be too bad to just disable the checks.
+-set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES "")
+-
+-# Keep fmt's header-only type layout stable across mixed C++ modes by forcing
+-# one no_unique_address spelling for all translation units.
+-if(MSVC AND NOT CMAKE_CXX_COMPILER_ID MATCHES "Clang")
+-  set(_fmt_no_unique_address "[[msvc::no_unique_address]]")
+-else()
+-  set(_fmt_no_unique_address "[[no_unique_address]]")
+-endif()
+-target_compile_definitions(fmt PUBLIC "FMT_NO_UNIQUE_ADDRESS=${_fmt_no_unique_address}")
+-target_compile_definitions(fmt-header-only INTERFACE "FMT_NO_UNIQUE_ADDRESS=${_fmt_no_unique_address}")
+-unset(_fmt_no_unique_address)
+-
+-list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)
+-set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS} CACHE BOOL "Build shared libs" FORCE)
+ 
+ # ---[ Kineto
+ # edge profiler depends on KinetoProfiler but it only does cpu
+-- 
+2.55.0
+

0001-pytorch-gloo.patch

@@ -0,0 +1,27 @@
+From 1b1962613916961fade2ddb971c9ceeee74cc5c5 Mon Sep 17 00:00:00 2001
+From: Tom Rix <Tom.Rix@amd.com>
+Date: Mon, 17 Aug 2026 08:16:49 -0700
+Subject: [PATCH] pytorch gloo
+
+---
+ cmake/Dependencies.cmake | 4 ++++
+ 1 file changed, 4 insertions(+)
+
+diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake
+index 81b673aabcd4..f7f938988c8e 100644
+--- a/cmake/Dependencies.cmake
++++ b/cmake/Dependencies.cmake
+@@ -1277,6 +1277,10 @@ if(USE_GLOO)
+       if(NOT Gloo_FOUND)
+         message(FATAL_ERROR "Cannot find gloo")
+       endif()
++      set(Gloo_INCLUDE_DIRS /usr/include)
++      set(Gloo_NATIVE_LIBRARY /usr/lib64/libgloo.so)
++      set(Gloo_HIP_LIBRARY /usr/lib64/libgloo_hip.so)
++
+       message("Found gloo: ${Gloo_NATIVE_LIBRARY}, cuda lib: ${Gloo_CUDA_LIBRARY}, hip lib: ${Gloo_HIP_LIBRARY}")
+       message("Found gloo include directories: ${Gloo_INCLUDE_DIRS}")
+ 
+-- 
+2.55.0
+

0001-pytorch-xnnpack.patch

@@ -0,0 +1,40 @@
+From ff660e83955efa54188d87c40804d991e31a8618 Mon Sep 17 00:00:00 2001
+From: Tom Rix <Tom.Rix@amd.com>
+Date: Mon, 17 Aug 2026 07:34:20 -0700
+Subject: [PATCH] pytorch xnnpack
+
+---
+ cmake/Dependencies.cmake | 12 +++++++-----
+ 1 file changed, 7 insertions(+), 5 deletions(-)
+
+diff --git a/cmake/Dependencies.cmake b/cmake/Dependencies.cmake
+index 2baa187e69ac..81b673aabcd4 100644
+--- a/cmake/Dependencies.cmake
++++ b/cmake/Dependencies.cmake
+@@ -611,16 +611,18 @@ if(USE_XNNPACK AND NOT USE_SYSTEM_XNNPACK)
+   list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK microkernels-prod)
+ elseif(NOT TARGET XNNPACK AND USE_SYSTEM_XNNPACK)
+   add_library(XNNPACK SHARED IMPORTED)
+-  add_library(microkernels-prod SHARED IMPORTED)
++#  add_library(microkernels-prod SHARED IMPORTED)
+   find_library(XNNPACK_LIBRARY XNNPACK)
+-  find_library(microkernels-prod_LIBRARY microkernels-prod)
++#  find_library(microkernels-prod_LIBRARY microkernels-prod)
+   set_property(TARGET XNNPACK PROPERTY IMPORTED_LOCATION "${XNNPACK_LIBRARY}")
+-  set_property(TARGET microkernels-prod PROPERTY IMPORTED_LOCATION "${microkernels-prod_LIBRARY}")
+-  if(NOT XNNPACK_LIBRARY OR NOT microkernels-prod_LIBRARY)
++#  set_property(TARGET microkernels-prod PROPERTY IMPORTED_LOCATION "${microkernels-prod_LIBRARY}")
++#  if(NOT XNNPACK_LIBRARY OR NOT microkernels-prod_LIBRARY)
++  if(NOT XNNPACK_LIBRARY)
+     message(FATAL_ERROR "Cannot find XNNPACK")
+   endif()
+   message("-- Found XNNPACK: ${XNNPACK_LIBRARY}")
+-  list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK microkernels-prod)
++#  list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK microkernels-prod)
++    list(APPEND Caffe2_DEPENDENCY_LIBS XNNPACK)
+ endif()
+ 
+ # ---[ Vulkan deps
+-- 
+2.55.0
+

inject.py

@@ -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]}")

pyproject.toml

@@ -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",
+]

python-torch.spec

@@ -6,20 +6,19 @@
 # So pre releases can be tried
 %bcond_with gitcommit
 %if %{with gitcommit}
-# v2.9.0-rc9
-%global commit0 0fabc3ba44823f257e70ce397d989c8de5e362c1
+# v2.12.0 (really v2.12)
+%global commit0 0d62256a2b23365f8e1604297eb23a6545102aa8
 %global shortcommit0 %(c=%{commit0}; echo ${c:0:7})
-%global date0 20251008
-%global pypi_version 2.9.0
+%global date0 20260511
+%global pypi_version 2.12.0
 %global flatbuffers_version 24.12.23
 %global miniz_version 3.0.2
-%global pybind11_version 2.13.6
-%global rc_tag -rc9
+%global pybind11_version 3.0.1
 %else
-%global pypi_version 2.9.1
+%global pypi_version 2.13.0
 %global flatbuffers_version 24.12.23
 %global miniz_version 3.0.2
-%global pybind11_version 2.13.6
+%global pybind11_version 3.0.1
 %endif
 
 # For -test subpackage
@@ -34,7 +33,7 @@
 %endif
 
 # For testing distributed+rccl etc.
-%bcond_with gloo
+%bcond_without gloo
 %bcond_without mpi
 %bcond_without tensorpipe
 
@@ -44,16 +43,17 @@
 %endif
 
 # These came in 2.4 and not yet in Fedora
-%bcond_with opentelemetry
 %bcond_with httplib
 %bcond_with kineto
+# These came in 2.11
+%bcond_with mslk
 
 # In fedora, not in rhel/epel or requires a newer version
 %if 0%{?fedora}
 %bcond_without eigen3
 %bcond_without onnx
 %bcond_without protobuf
-%bcond_without setuptools
+%bcond_with setuptools
 %bcond_without sympy
 %else
 %bcond_with eigen3
@@ -78,8 +78,25 @@ 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
+
+Patch1:         0001-pytorch-xnnpack.patch
+Patch2:         0001-pytorch-gloo.patch
+Patch3:         0001-pytorch-fmt.patch
+
+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
+
 %endif
 Source1:        https://github.com/google/flatbuffers/archive/refs/tags/v%{flatbuffers_version}.tar.gz
 Source2:        https://github.com/pybind/pybind11/archive/refs/tags/v%{pybind11_version}.tar.gz
@@ -101,13 +118,17 @@ Source60:       https://github.com/open-telemetry/opentelemetry-cpp/archive/refs
 %endif
 
 %if %{without httplib}
-%global hl_commit 3b6597bba913d51161383657829b7e644e59c006
+%global hl_commit bd95e67c234930cd6d6bb11309588c5462c63cec
 %global hl_scommit %(c=%{hl_commit}; echo ${c:0:7})
 Source70:       https://github.com/yhirose/cpp-httplib/archive/%{hl_commit}/cpp-httplib-%{hl_scommit}.tar.gz
 %endif
 
 %if %{without kineto}
-%global ki_commit 5e7501833f1021ce6f618572d3baf657b6319658
+%if %{with gitcommit}
+%global ki_commit b2103f78d13fde4937af010c0ef8e24313568bc5
+%else
+%global ki_commit b2103f78d13fde4937af010c0ef8e24313568bc5
+%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
@@ -129,15 +150,16 @@ Source100:      https://github.com/protocolbuffers/protobuf/archive/refs/tags/v%
 %global st_ver 80.9.0
 Source110:      https://github.com/pypa/setuptools/archive/refs/tags/v%{st_ver}.tar.gz
 
+# mslk
+%if %{without mslk}
+%global mslk_commit 3d332d1c0c0ac7765852c97b3979c9ef913e037f
+%global mslk_scommit %(c=%{mslk_commit}; echo ${c:0:7})
+Source120:       https://github.com/meta-pytorch/MSLK/archive/%{mslk_commit}/MSLK-%{mslk_scommit}.tar.gz
+%endif
+
 %global pt_arches x86_64 aarch64
 ExclusiveArch:  %pt_arches
-# Switch to clang temporarily on aarch64, GCC 16 + PyTorch 2.9.1 has problems
-# See rhbz#2431943 for more info
-%ifarch aarch64
-%global toolchain clang
-%else
 %global toolchain gcc
-%endif
 %global _lto_cflags %nil
 
 BuildRequires:  cmake
@@ -184,6 +206,8 @@ BuildRequires:  fxdiv-devel
 BuildRequires:  psimd-devel
 BuildRequires:  xnnpack-devel = 0.0^git20240814.312eb7e
 
+BuildRequires:  zlib-ng-compat-static
+
 BuildRequires:  python3-devel
 BuildRequires:  python3dist(filelock)
 BuildRequires:  python3dist(jinja2)
@@ -209,6 +233,7 @@ BuildRequires:  ninja-build
 %endif
 
 %if %{with rocm}
+BuildRequires:  amdsmi-devel
 BuildRequires:  hipblas-devel
 BuildRequires:  hipblaslt-devel
 BuildRequires:  hipcub-devel
@@ -233,6 +258,7 @@ BuildRequires:  rocm-runtime-devel
 BuildRequires:  rocm-rpm-macros
 BuildRequires:  rocsolver-devel
 BuildRequires:  rocm-smi-devel
+BuildRequires:  rocshmem-devel
 BuildRequires:  rocthrust-devel
 BuildRequires:  roctracer-devel
 
@@ -308,6 +334,21 @@ cp %{SOURCE1000} .
 %else
 %autosetup -p1 -n pytorch-v%{version}
 
+# 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
+
 # GitHub release tarballs identify the version as an alpha, so replace that
 echo "%{pypi_version}" > version.txt
 
@@ -348,12 +389,6 @@ sed -i '/#include <tensorpipe.*/a#include <cstdint>' third_party/tensorpipe/tens
 sed -i '/#include <tensorpipe.*/a#include <cstdint>' third_party/tensorpipe/tensorpipe/common/memory.h
 %endif
 
-%if %{without opentelemtry}
-tar xf %{SOURCE60}
-rm -rf third_party/opentelemetry-cpp/*
-cp -r opentelemetry-cpp-*/* third_party/opentelemetry-cpp/
-%endif
-
 %if %{without httplib}
 tar xf %{SOURCE70}
 rm -rf third_party/cpp-httplib/*
@@ -378,6 +413,12 @@ rm -rf third_party/protobuf/*
 cp -r protobuf-*/* third_party/protobuf/
 %endif
 
+%if %{without mslk}
+tar xf %{SOURCE120}
+rm -rf third_party/mslk/*
+cp -r MSLK-*/* third_party/mslk/
+%endif
+
 # Adjust for the hipblaslt's we build
 sed -i -e 's@"gfx1100", "gfx1101", "gfx1200", "gfx1201", "gfx908",@"gfx1100", "gfx1101", "gfx1200", "gfx1201", "gfx1151",@' aten/src/ATen/native/cuda/Blas.cpp
 
@@ -407,7 +448,7 @@ sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-unus
 sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-unused-result@' cmake/Dependencies.cmake
 sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-deprecated-declarations@' cmake/Dependencies.cmake
 # Use parallel jobs
-sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -parallel-jobs=4@' cmake/Dependencies.cmake
+sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -parallel-jobs=2@' cmake/Dependencies.cmake
 # Need to link with librocm_smi64
 sed -i -e 's@hiprtc::hiprtc@hiprtc::hiprtc rocm_smi64@' cmake/Dependencies.cmake
 
@@ -437,6 +478,15 @@ sed -i -e 's@    checkout_nccl()@    True@' tools/build_pytorch_libs.py
 # Disable the use of check_submodule's in the setup.py, we are a tarball, not a git repo
 sed -i -e 's@check_submodules()$@#check_submodules()@' setup.py
 
+# Disable the USE_MIMALLOC option, which is now default on AArch64
+# The comments in setup.py say that the env var is respected.
+# This seems to be wrong on AArch64, where the default is overriden to ON.
+# TODO: File an upstream bug about this misbehavior.
+# TODO: Consider unbundling mimalloc since upstream says it's faster.
+%ifarch aarch64
+sed -i -e 's@set(USE_MIMALLOC ON)@set(USE_MIMALLOC OFF)@' CMakeLists.txt
+%endif
+
 # Release comes fully loaded with third party src
 # Remove what we can
 #
@@ -448,7 +498,7 @@ sed -i -e 's@check_submodules()$@#check_submodules()@' setup.py
 mv third_party/miniz-%{miniz_version} .
 #
 # setup.py depends on this script
-mv third_party/build_bundled.py .
+# mv third_party/build_bundled.py .
 
 # Need the just untarred flatbuffers/flatbuffers.h
 mv third_party/flatbuffers .
@@ -459,10 +509,6 @@ mv third_party/pybind11 .
 mv third_party/tensorpipe .
 %endif
 
-%if %{without opentelemetry}
-mv third_party/opentelemetry-cpp .
-%endif
-
 %if %{without httplib}
 mv third_party/cpp-httplib .
 %endif
@@ -479,6 +525,10 @@ mv third_party/onnx .
 mv third_party/protobuf .
 %endif
 
+%if %{without mslk}
+mv third_party/mslk .
+%endif
+
 %if %{with test}
 mv third_party/googletest .
 %endif
@@ -486,7 +536,7 @@ mv third_party/googletest .
 # Remove everything
 rm -rf third_party/*
 # Put stuff back
-mv build_bundled.py third_party
+# mv build_bundled.py third_party
 mv miniz-%{miniz_version} third_party
 mv flatbuffers third_party
 mv pybind11 third_party
@@ -495,10 +545,6 @@ mv pybind11 third_party
 mv tensorpipe third_party
 %endif
 
-%if %{without opentelemetry}
-mv opentelemetry-cpp third_party
-%endif
-
 %if %{without httplib}
 mv cpp-httplib third_party
 %endif
@@ -515,6 +561,10 @@ mv onnx third_party
 mv protobuf third_party
 %endif
 
+%if %{without mslk}
+mv mslk third_party
+%endif
+
 %if %{with test}
 mv googletest third_party
 %endif
@@ -538,9 +588,6 @@ sed -i -e 's@list(APPEND Caffe2_DEPENDENCY_LIBS foxi_loader)@#list(APPEND Caffe2
 # cmake version changed
 sed -i -e 's@cmake_minimum_required(VERSION 3.4)@cmake_minimum_required(VERSION 3.5)@' third_party/tensorpipe/third_party/libuv/CMakeLists.txt
 sed -i -e 's@cmake_minimum_required(VERSION 3.4)@cmake_minimum_required(VERSION 3.5)@' libuv*/CMakeLists.txt
-%if %{without opentelemtry}
-sed -i -e 's@cmake_minimum_required(VERSION 3.1)@cmake_minimum_required(VERSION 3.5)@' third_party/opentelemetry-cpp/CMakeLists.txt
-%endif
 
 %if %{with rocm}
 # hipify
@@ -563,6 +610,9 @@ 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
@@ -576,7 +626,7 @@ sed -i -e 's@${PROJECT_SOURCE_DIR}/third_party/concurrentqueue@/usr/include/conc
 #
 %ifarch x86_64
 # Real cores, No hyperthreading
-COMPILE_JOBS=`cat /proc/cpuinfo | grep -m 1 'cpu cores' | awk '{ print $4 }'`
+COMPILE_JOBS=`lscpu -p=CORE | grep -v '^#' | sort -u |wc -l`
 %else
 # cpuinfo format varies on other arches, fall back to nproc
 COMPILE_JOBS=`nproc`
@@ -585,7 +635,7 @@ if [ ${COMPILE_JOBS}x = x ]; then
     COMPILE_JOBS=1
 fi
 # Take into account memmory usage per core, do not thrash real memory
-BUILD_MEM=2
+BUILD_MEM=4
 MEM_KB=0
 MEM_KB=`cat /proc/meminfo | grep MemTotal | awk '{ print $2 }'`
 MEM_MB=`eval "expr ${MEM_KB} / 1024"`
@@ -618,8 +668,8 @@ export CMAKE_BUILD_TYPE=RelWithDebInfo
 export CMAKE_FIND_PACKAGE_PREFER_CONFIG=ON
 export CAFFE2_LINK_LOCAL_PROTOBUF=OFF
 export INTERN_BUILD_MOBILE=OFF
-export USE_DISTRIBUTED=OFF
 export USE_CUDA=OFF
+export USE_DISTRIBUTED=OFF
 export USE_FAKELOWP=OFF
 export USE_FBGEMM=OFF
 export USE_FLASH_ATTENTION=OFF
@@ -633,9 +683,11 @@ export USE_MAGMA=OFF
 export USE_MEM_EFF_ATTENTION=OFF
 export USE_MKLDNN=OFF
 export USE_MPI=OFF
+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
@@ -647,7 +699,7 @@ export USE_SYSTEM_EIGEN_INSTALL=ON
 export USE_SYSTEM_ONNX=ON
 %endif
 export USE_SYSTEM_PYBIND11=OFF
-export USE_SYSTEM_LIBS=OFF
+export USE_SYSTEM_LIBS=ON
 export USE_SYSTEM_NCCL=OFF
 export USE_TENSORPIPE=OFF
 export USE_XNNPACK=OFF
@@ -657,7 +709,7 @@ export USE_SYSTEM_CPUINFO=ON
 export USE_SYSTEM_FP16=ON
 export USE_SYSTEM_FXDIV=ON
 export USE_SYSTEM_PSIMD=ON
-export USE_SYSTEM_XNNPACK=OFF
+export USE_SYSTEM_XNNPACK=ON
 
 export USE_DISTRIBUTED=ON
 %if %{with tensorpipe}
@@ -666,7 +718,7 @@ export TP_BUILD_LIBUV=OFF
 %endif
 
 %if %{with gloo}
-export USE_GLOO=ON
+export USE_GLOO=OFF
 export USE_SYSTEM_GLOO=ON
 %endif
 %if %{with mpi}
@@ -691,6 +743,7 @@ 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=gfx1151
 
 %endif
 

sources

@@ -1,21 +1,13 @@
-SHA512 (pytorch-v2.7.0.tar.gz) = 17e875a66f1669901f5f770c9d829ba5bfa3967296cfb71550e8a92507181db742548eaf7cc9a2c478c4b91e366f27cc480e2e1bbb328db8501d30e1649839e6
-SHA512 (v23.3.3.tar.gz) = 4066c94f2473c7ea16917d29a613e16f840a329089c88e0bdbdb999aef3442ba00abfd2aa92266fa9c067e399dc88e6f0ccac40dc151378857e665638e78bbf0
-SHA512 (v2.13.6.tar.gz) = 497c25b33b09a9c42f67131ab82e35d689e8ce089dd7639be997305ff9a6d502447b79c824508c455d559e61f0186335b54dd2771d903a7c1621833930622d1a
+SHA512 (pytorch-v2.13.0.tar.gz) = 8d192f2d4ef92e4f83cef86d97f4f23fceec4fd4eaa2ff1d99267250d64785317e918617ef9b80c7cb1dfa209614444b4f427caa7a48d10911cbd2caeac1655f
+SHA512 (v24.12.23.tar.gz) = f97762ba41b9cfef648e93932fd789324c6bb6ebc5b7aeca8185c9ef602294b67d73aea7ae371035579a1419cbfbeba7c3e88b31b5a5848db98f5e8a03b982b1
+SHA512 (v3.0.1.tar.gz) = c17e6d6a78c38e760864b390ac2aa7df6a94ca53acb2e8be71f0d63d611b738fa20a16946c98a93fbfcad56cb0346ebf247bbe41c6f5171c6ce68397b1e5c4db
 SHA512 (tensorpipe-52791a2.tar.gz) = 1e5faf17a7236c5506c08cb28be16069b11bb929bbca64ed9745ce4277d46739186ab7d6597da7437d90ed2d166d4c37ef2f3bceabe8083ef3adbb0e8e5f227e
 SHA512 (v1.41.0.tar.gz) = bb08a1970a10e8d9571ffea3d021643de30ec212cd51317b98d6cf0cfe55d6877992921fb01d1188a6d466687335b77885685d924f8cb7200a0bec30eee05c65
 SHA512 (libnop-910b558.tar.gz) = 74c5324eaa1b6b2ac8dfef94c835b5c5b044625f8e5efe3522470b1ecc4798ff43d344a013cee2f6901e83267c6167072947b754e63f1552ae7044cffe234c36
 SHA512 (v1.14.2.tar.gz) = 97635bbaf6dd567c201451dfaf7815b2052fe50d9bccc97aade86cfa4a92651374d167296a5453031b2681dc302806a289bca011a9e79ddc381a17d6118971d7
-SHA512 (cpp-httplib-3b6597b.tar.gz) = 8f1090658c498d04f14fec5c2f301847b1f3360bf92b18d82927643ee04ab61a6b274733a01c7850f9c030205120d674d1d961358d49fdd15636736fb8704f55
-SHA512 (kineto-be13176.tar.gz) = 41a08c7da9eea7d12402f80a5550c9d4df79798719cc52b12a507828c8c896ba28a37c35d8adf809ca72589e1d84965d5ef6dd01f3f8dc1c803c5ed67b03a43a
-SHA512 (pytorch-a1cb3cc.tar.gz) = 92bf8b2c2ef0b459406b60169ecebdc50652c75943e3d6087e4d261f6e308dbad365529561e0f07ea3f0b71790efb68b5e4ab2f44e270462097208d924dc2d95
-SHA512 (v24.12.23.tar.gz) = f97762ba41b9cfef648e93932fd789324c6bb6ebc5b7aeca8185c9ef602294b67d73aea7ae371035579a1419cbfbeba7c3e88b31b5a5848db98f5e8a03b982b1
-SHA512 (kineto-5e75018.tar.gz) = 921b96a56e01d69895b79e67582d8977ed6f873573ab41557c5d026ada5d1f6365e4ed0a0c6804057c52e92510749fc58619f554a164c1ba9d8cd13e789bebd0
-SHA512 (pytorch-v2.8.0.tar.gz) = 791e658eab87fb957f025558cb9f925078d2426ab7b6f60771d9841dfb691f67d905ba1330a800008efe7c938b6c69bdc52232bccfe8d4860e795a532cd69d28
+SHA512 (cpp-httplib-bd95e67.tar.gz) = 17c7b1d1a3750b85ebfefcc31a2fe2cb538373b140a31058d5003a018601bbde96e82bd73b99708856c0ebecd910ac4aee5420b829cb444e3aac3ee5764dcff7
+SHA512 (kineto-b2103f7.tar.gz) = 27d9f6a8b27434e83d26ed182df1fecec1d02fc26906995e44155562a730f998f527aad3d6c8a37212255c5e2f86a607a9648edf62861f56eb2ea512c4452908
 SHA512 (v1.18.0.tar.gz) = 2f38664947c8d1efc40620a7c1b1953d2aa4b0a37b67c4886b86e77c1d697363c26413413ddda8eabc545892fb1bcb43afc7e93e62f0901527524a2727e1ea8d
-SHA512 (pytorch-715dca6.tar.gz) = 09c9aae54fab3eb17901fc3226fece1c13f41cb8e45a2cb066021823abeb8d27c340993088e01d8e55bb37ed5f94334ec31e6c539cddfacbad157abd27c5e907
-SHA512 (pytorch-fd36458.tar.gz) = acbb7475b92ad4a8e8d779f3745da22d8438e4c5ef2d6e76d71c987789f2752c8aef7022c87c9a74640fe4f9c1f1a61a3f12a796f63b1e6be24da8e5aacf37dc
-SHA512 (pytorch-0fabc3b.tar.gz) = 2e87975de0bf6f3dcede168b379e1928712bca16170c2a8ee7d63459f53086c01baac05e0763e4d5d28cdaf1c7d8912225ee06adeff96ead4f6f456ee174b341
-SHA512 (pytorch-v2.9.0.tar.gz) = ae989e3a7fe30f9ea90944dc25e21ca92f2a94ee40d8de974a168c292d82c16ee8920624eff91a85755469ad05473dce0f85893e3ed7794ec5c6bdd89cbd2023
-SHA512 (pytorch-v2.9.1.tar.gz) = 88de0289fa2760abd69bef505b5ae3b6d7ff176b415cbb31bbc89ce5476a3800b322a97c4490f270f8b89657aff931bf9a5516202b268e0bb8b1f63dbb87b34a
 SHA512 (v3.19.6.tar.gz) = 8f92242f2be8e1bbfba41341c87709ad91ad83b8b3e3df88bb430411541d3399295f49291fd52b50e3487b0fce33181cb4d175685fd25aac72adfaee26a612d4
 SHA512 (v80.9.0.tar.gz) = e67c6c5e74691e65ecbf24fd19c1da545434ac1674f37c917f5ecc282a00bffc62d64164a885d19f177e99a3fa53db196e2be1cf0aa6811027e61d05119682da
+SHA512 (MSLK-3d332d1.tar.gz) = f6bd99ec7a79321692c088e622dd2ea8f1355b137014b33e75cb7ff83922fdd07ebacf5920e2e343a48fccd74315c11861ac5c2fff29e2f2481875ecb1ae57cf