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bump(main/python-torch): 2.9.0

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- minor rebasing
This commit is contained in:
termux-pacman-bot
2025-11-13 07:06:40 +00:00
parent 01800ca4eb
commit 0934d9e3fe
4 changed files with 13 additions and 28 deletions
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7
packages/python-torch/0002-fix-macros.patch
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@@ -1,7 +1,6 @@
diff -uNr pytorch/c10/macros/Macros.h pytorch.mod/c10/macros/Macros.h
--- pytorch/c10/macros/Macros.h 2022-10-04 19:55:33.000000000 +0900
+++ pytorch.mod/c10/macros/Macros.h 2022-10-04 23:41:33.513647184 +0900
@@ -390,7 +390,7 @@
--- a/torch/headeronly/macros/Macros.h
+++ b/torch/headeronly/macros/Macros.h
@@ -482,7 +482,7 @@ __host__ __device__
#include <TargetConditionals.h>
#endif

12
packages/python-torch/0004-memalign.patch
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@@ -1,15 +1,3 @@
diff -u -r ../cache/tmp-checkout/third_party/pocketfft/pocketfft_hdronly.h ./third_party/pocketfft/pocketfft_hdronly.h
--- ../cache/tmp-checkout/third_party/pocketfft/pocketfft_hdronly.h 2024-10-02 13:08:14.683993465 +0000
+++ ./third_party/pocketfft/pocketfft_hdronly.h 2024-10-02 13:17:29.799680354 +0000
@@ -152,7 +152,7 @@
// the __MINGW32__ part in the conditional below works around the problem that
// the standard C++ library on Windows does not provide aligned_alloc() even
// though the MinGW compiler and MSVC may advertise C++17 compliance.
-#if (__cplusplus >= 201703L) && (!defined(__MINGW32__)) && (!defined(_MSC_VER))
+#if (__cplusplus >= 201703L) && (!defined(__MINGW32__)) && (!defined(_MSC_VER)) && (!defined(__ANDROID__))
inline void *aligned_alloc(size_t align, size_t size)
{
// aligned_alloc() requires that the requested size is a multiple of "align"
diff -u -r ../cache/tmp-checkout/torch/csrc/jit/python/script_init.cpp ./torch/csrc/jit/python/script_init.cpp
--- ../cache/tmp-checkout/torch/csrc/jit/python/script_init.cpp 2024-10-02 13:05:35.577599122 +0000
+++ ./torch/csrc/jit/python/script_init.cpp 2024-10-02 13:16:36.541910940 +0000

19
packages/python-torch/0006-fix-for-format-string.patch
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@@ -3,15 +3,14 @@ Fix 32-bit builds, which otherwise fail with:
python_function.cpp:798:15: error: format specifies type 'long' but the argument has type 'int' [-Werror,-Wformat]
796 | "save_for_backward can only save variables, but argument %ld is of "
diff -u -r ../cache/tmp-checkout/torch/csrc/autograd/python_function.cpp ./torch/csrc/autograd/python_function.cpp
--- ../cache/tmp-checkout/torch/csrc/autograd/python_function.cpp 2024-10-03 18:00:30.204986580 +0000
+++ ./torch/csrc/autograd/python_function.cpp 2024-10-04 15:06:58.912498321 +0000
@@ -795,7 +795,7 @@
throw torch::TypeError(
"save_for_backward can only save variables, but argument %ld is of "
"type %s",
- i,
+ (long) i,
Py_TYPE(obj)->tp_name);
--- a/torch/csrc/autograd/python_function.cpp
+++ b/torch/csrc/autograd/python_function.cpp
@@ -798,7 +798,7 @@ static void _get_tensors_to_save(
fmt::format(
"save_for_backward can only save variables, but argument {} is of "
"type {}",
- i,
+ (long) i,
Py_TYPE(obj)->tp_name));
}
}

3
packages/python-torch/build.sh
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@@ -2,8 +2,7 @@ TERMUX_PKG_HOMEPAGE=https://pytorch.org/
TERMUX_PKG_DESCRIPTION="Tensors and Dynamic neural networks in Python"
TERMUX_PKG_LICENSE="BSD 3-Clause"
TERMUX_PKG_MAINTAINER="@termux"
TERMUX_PKG_VERSION="2.6.0"
TERMUX_PKG_REVISION=1
TERMUX_PKG_VERSION="2.9.0"
TERMUX_PKG_SRCURL=git+https://github.com/pytorch/pytorch
TERMUX_PKG_UPDATE_TAG_TYPE="latest-release-tag"
TERMUX_PKG_DEPENDS="abseil-cpp, libc++, libopenblas, libprotobuf, python, python-numpy, python-pip"