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py-torch: add upgrade candidate



Module Name:	pkgsrc-wip
Committed By:	Thomas Klausner <wiz%NetBSD.org@localhost>
Pushed By:	wiz
Date:		Fri Jul 3 20:37:54 2026 +0200
Changeset:	4f0fc31dbeeef73aabf24cb993a7f099873c0589

Modified Files:
	Makefile
Added Files:
	py-torch/DESCR
	py-torch/Makefile
	py-torch/PLIST
	py-torch/TODO
	py-torch/buildlink3.mk
	py-torch/distinfo
	py-torch/patches/patch-c10_test_core_Scalar__test.cpp
	py-torch/patches/patch-cmake_Dependencies.cmake
	py-torch/patches/patch-cmake_Modules_FindBLAS.cmake
	py-torch/patches/patch-cmake_public_mkldnn.cmake
	py-torch/patches/patch-third__party_FP16_CMakeLists.txt
	py-torch/patches/patch-third__party_cpuinfo_CMakeLists.txt
	py-torch/patches/patch-third__party_cpuinfo_src_cpuinfo_internal-api.h
	py-torch/patches/patch-third__party_cpuinfo_src_init.c
	py-torch/patches/patch-third__party_cpuinfo_src_netbsd_api.h
	py-torch/patches/patch-third__party_cpuinfo_src_netbsd_topology.c
	py-torch/patches/patch-third__party_cpuinfo_src_x86_netbsd_init.c
	py-torch/patches/patch-third__party_fbgemm_external_cpuinfo_src_init.c
	py-torch/patches/patch-third__party_kineto_libkineto_src_ThreadUtil.cpp
	py-torch/patches/patch-third__party_protobuf_cmake_CMakeLists.txt
	py-torch/patches/patch-third__party_protobuf_post__process__dist.sh
	py-torch/patches/patch-third__party_psimd_CMakeLists.txt
	py-torch/patches/patch-third__party_tensorpipe_tensorpipe_common_system.cc
	py-torch/patches/patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt
	py-torch/patches/patch-tools_build__pytorch__libs.py
	py-torch/patches/patch-tools_optional__submodules.py
	py-torch/patches/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
	py-torch/patches/patch-torch_csrc_distributed_c10d_socket.cpp
	py-torch/patches/patch-torch_csrc_utils_byte__order.h
	py-torch/patches/patch-torch_headeronly_macros_Macros.h

Log Message:
py-torch: add upgrade candidate

builds with Python 3.14 but only installs Python files,
not headers & libraries

To see a diff of this commit:
https://wip.pkgsrc.org/cgi-bin/gitweb.cgi?p=pkgsrc-wip.git;a=commitdiff;h=4f0fc31dbeeef73aabf24cb993a7f099873c0589

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

diffstat:
 Makefile                                           |     1 +
 py-torch/DESCR                                     |     4 +
 py-torch/Makefile                                  |   126 +
 py-torch/PLIST                                     | 16433 +++++++++++++++++++
 py-torch/TODO                                      |    16 +
 py-torch/buildlink3.mk                             |    15 +
 py-torch/distinfo                                  |    29 +
 .../patches/patch-c10_test_core_Scalar__test.cpp   |    19 +
 py-torch/patches/patch-cmake_Dependencies.cmake    |    15 +
 .../patches/patch-cmake_Modules_FindBLAS.cmake     |    16 +
 py-torch/patches/patch-cmake_public_mkldnn.cmake   |    15 +
 .../patches/patch-third__party_FP16_CMakeLists.txt |    12 +
 .../patch-third__party_cpuinfo_CMakeLists.txt      |    47 +
 ...third__party_cpuinfo_src_cpuinfo_internal-api.h |    14 +
 .../patches/patch-third__party_cpuinfo_src_init.c  |    15 +
 .../patch-third__party_cpuinfo_src_netbsd_api.h    |    19 +
 ...atch-third__party_cpuinfo_src_netbsd_topology.c |    81 +
 ...atch-third__party_cpuinfo_src_x86_netbsd_init.c |   405 +
 ...third__party_fbgemm_external_cpuinfo_src_init.c |    15 +
 ...hird__party_kineto_libkineto_src_ThreadUtil.cpp |    35 +
 ...atch-third__party_protobuf_cmake_CMakeLists.txt |    13 +
 ...ch-third__party_protobuf_post__process__dist.sh |    15 +
 .../patch-third__party_psimd_CMakeLists.txt        |    12 +
 ...d__party_tensorpipe_tensorpipe_common_system.cc |    18 +
 ...ty_tensorpipe_third__party_libuv_CMakeLists.txt |    15 +
 .../patches/patch-tools_build__pytorch__libs.py    |    26 +
 .../patches/patch-tools_optional__submodules.py    |    79 +
 ...orch_csrc_distributed_c10d_ProcessGroupGloo.cpp |    27 +
 .../patch-torch_csrc_distributed_c10d_socket.cpp   |    20 +
 .../patches/patch-torch_csrc_utils_byte__order.h   |    19 +
 .../patches/patch-torch_headeronly_macros_Macros.h |    15 +
 31 files changed, 17591 insertions(+)

diffs:
diff --git a/Makefile b/Makefile
index a5e248372f..c5a5e2ae47 100644
--- a/Makefile
+++ b/Makefile
@@ -4941,6 +4941,7 @@ SUBDIR+=	py-tokenizers
 SUBDIR+=	py-toleranceinterval
 SUBDIR+=	py-topkapi
 SUBDIR+=	py-toposort
+SUBDIR+=	py-torch
 SUBDIR+=	py-toro
 SUBDIR+=	py-toronado
 SUBDIR+=	py-toscawidgets
diff --git a/py-torch/DESCR b/py-torch/DESCR
new file mode 100644
index 0000000000..d57b2f7cb3
--- /dev/null
+++ b/py-torch/DESCR
@@ -0,0 +1,4 @@
+PyTorch is a Python package that provides two high-level features:
+
+* Tensor computation (like NumPy) with strong GPU acceleration
+* Deep neural networks built on a tape-based autograd system
diff --git a/py-torch/Makefile b/py-torch/Makefile
new file mode 100644
index 0000000000..9fd0863684
--- /dev/null
+++ b/py-torch/Makefile
@@ -0,0 +1,126 @@
+# $NetBSD: Makefile,v 1.12 2026/06/28 15:41:31 wiz Exp $
+
+DISTNAME=	pytorch-v2.12.1
+PKGNAME=	${PYPKGPREFIX}-${DISTNAME:S,pytorch-v,torch-,}
+CATEGORIES=	math
+MASTER_SITES=	${MASTER_SITE_GITHUB:=pytorch/}
+GITHUB_PROJECT=	pytorch
+GITHUB_RELEASE=	v${PKGVERSION_NOREV}
+
+MAINTAINER=	ryoon%NetBSD.org@localhost
+HOMEPAGE=	https://pytorch.org/
+COMMENT=	Tensors and Dynamic neural networks in Python
+LICENSE=	modified-bsd
+
+TOOL_DEPENDS+=	${PYPKGPREFIX}-packaging-[0-9]*:../../devel/py-packaging
+TOOL_DEPENDS+=	${PYPKGPREFIX}-setuptools-[0-9]*:../../devel/py-setuptools
+DEPENDS+=	${PYPKGPREFIX}-filelock-[0-9]*:../../devel/py-filelock
+DEPENDS+=	${PYPKGPREFIX}-jinja2-[0-9]*:../../textproc/py-jinja2
+DEPENDS+=	${PYPKGPREFIX}-networkx-[0-9]*:../../math/py-networkx
+DEPENDS+=	${PYPKGPREFIX}-sympy-[0-9]*:../../math/py-sympy
+DEPENDS+=	${PYPKGPREFIX}-typing-extensions-[0-9]*:../../devel/py-typing-extensions
+DEPENDS+=	${PYPKGPREFIX}-yaml-[0-9]*:../../textproc/py-yaml
+DEPENDS+=	${PYPKGPREFIX}-dill-[0-9]*:../../textproc/py-dill
+
+USE_TOOLS+=	gmake
+
+#EGG_INFODIR=	torch-2.5.0a0+gitunknown-py${PYVERSSUFFIX}.egg-info
+#WHEEL_NAME=	torch-${PKGVERSION}a0+gitunknown
+
+BLAS_INDEX64=		yes
+BLAS_ACCEPTED=		openblas_pthread openblas_openmp
+
+USE_LANGUAGES+=		c c++
+USE_CC_FEATURES=	c17
+USE_CXX_FEATURES=	c++20
+# Explicitly checks for gcc 11.3
+GCC_REQD+=		12
+
+SUBST_CLASSES+=		blas
+SUBST_STAGE.blas=	pre-configure
+SUBST_FILES.blas=	cmake/Modules/FindBLAS.cmake
+SUBST_VARS.blas=	BLAS_PC
+
+SUBST_CLASSES+=		amd64
+SUBST_STAGE.amd64=	pre-configure
+SUBST_FILES.amd64+=	CMakeLists.txt
+SUBST_FILES.amd64+=	cmake/Dependencies.cmake
+SUBST_FILES.amd64+=	third_party/pthreadpool/CMakeLists.txt
+SUBST_FILES.amd64+=	third_party/XNNPACK/CMakeLists.txt
+SUBST_FILES.amd64+=	third_party/cpuinfo/CMakeLists.txt
+SUBST_FILES.amd64+=	third_party/fbgemm/external/cpuinfo/CMakeLists.txt
+SUBST_SED.amd64=	-e 's/AMD64/amd64/g'
+
+BUILDLINK_TRANSFORM+=	opt:-ldl:${BUILDLINK_LDADD.dl:Q}
+CFLAGS+=		-Wno-error=unused-function
+CFLAGS+=		-Wno-incompatible-pointer-types
+
+# python build uses this as default, set it so we use it in the install phase
+CMAKE_BUILD_DIR=	build
+
+CONFIGURE_ENV+=		OpenBLAS_HOME=${BUILDLINK_DIR}
+#CMAKE_CONFIGURE_ARGS+=	-DBUILD_CUSTOM_PROTOBUF=OFF
+CMAKE_CONFIGURE_ARGS+=	-DBLAS_SET_BY_USER=FALSE
+CMAKE_CONFIGURE_ARGS+=	-DUSE_BLAS=ON
+CMAKE_CONFIGURE_ARGS+=	-DUSE_CUDA=OFF
+CMAKE_CONFIGURE_ARGS+=	-DUSE_ROCM=OFF
+CMAKE_CONFIGURE_ARGS+=	-DUSE_MKLDNN=OFF
+CMAKE_CONFIGURE_ARGS+=	-DUSE_NCCL=OFF
+#CMAKE_CONFIGURE_ARGS+=	-DUSE_PYTORCH_QNNPACK=OFF
+CMAKE_CONFIGURE_ARGS+=	-DUSE_SYSTEM_PYBIND11=ON
+CMAKE_CONFIGURE_ARGS+=	-DBUILD_PYTHON=ON
+CMAKE_CONFIGURE_ARGS+=	-Dpybind11_INCLUDE_DIR=${BUILDLINK_DIR}/${PYSITELIB}/pybind11/include
+CMAKE_CONFIGURE_ARGS+=	-DPython_EXECUTABLE=${PYTHONBIN}
+
+MAKE_ENV+=	USE_MKLDNN=0
+MAKE_ENV+=	BUILD_TEST=0
+MAKE_ENV+=	USE_CUDNN=0
+MAKE_ENV+=	USE_DISTRIBUTED=1
+
+PYTHON_VERSIONS_INCOMPATIBLE=	310 311
+
+post-extract:
+	# For mkpatches(1) and developers only.
+	${RM} -f ${WRKSRC}/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.key.orig
+	${RM} -f ${WRKSRC}/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.key.orig
+	${RM} -f ${WRKSRC}/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.key.orig
+
+# HACK: copied from wheel.mk
+TOOL_DEPENDS+= ${PYPKGPREFIX}-build>=0:../../devel/py-build
+do-build:
+	${RUN} cd ${WRKSRC}/${PYSETUPSUBDIR} && \
+	${SETENV} ${MAKE_ENV} ${TOOL_PYTHONBIN} \
+		-m build --wheel --skip-dependency-check --no-isolation ${WHEEL_ARGS}
+
+TOOL_DEPENDS+=  ${PYPKGPREFIX}-installer>=0.7.0nb1:../../misc/py-installer
+post-install:
+	${RUN} cd ${WRKSRC}/${PYSETUPSUBDIR} && \
+	${SETENV} ${INSTALL_ENV} ${TOOL_PYTHONBIN} \
+		-m installer \
+		--destdir ${DESTDIR} \
+		--prefix ${PREFIX} \
+		${PYINSTALL_EXEC} \
+		${WHEELFILE}
+# remove own copy of protobuf and fmt
+	${RM} -f ${DESTDIR}${PREFIX}/bin/protoc*
+	${RM} -f ${DESTDIR}${PREFIX}/lib/libproto*.a
+	${RM} -f ${DESTDIR}${PREFIX}/lib/pkgconfig/fmt.pc
+	${RM} -f ${DESTDIR}${PREFIX}/lib/pkgconfig/protobuf*.pc
+	${RM} -rf ${DESTDIR}${PREFIX}/include/fmt
+	${RM} -rf ${DESTDIR}${PREFIX}/include/google/protobuf
+	${RM} -rf ${DESTDIR}${PREFIX}/lib/cmake/fmt
+	${RM} -rf ${DESTDIR}${PREFIX}/lib/cmake/protobuf
+
+.include "../../devel/gmp/buildlink3.mk"
+.include "../../devel/libexecinfo/buildlink3.mk"
+.include "../../devel/py-pybind11/buildlink3.mk"
+#.include "../../devel/protobuf/buildlink3.mk"
+.include "../../math/fftw/buildlink3.mk"
+.include "../../math/mpfr/buildlink3.mk"
+.include "../../mk/blas.buildlink3.mk"
+.include "../../math/py-numpy/buildlink3.mk"
+.include "../../mk/openmp.mk"
+.include "../../security/openssl/buildlink3.mk"
+.include "../../devel/cmake/build.mk"
+.include "../../lang/python/wheel.mk"
+.include "../../mk/bsd.pkg.mk"
diff --git a/py-torch/PLIST b/py-torch/PLIST
new file mode 100644
index 0000000000..406025f079
--- /dev/null
+++ b/py-torch/PLIST
@@ -0,0 +1,16433 @@
+@comment $NetBSD$
+bin/torchfrtrace
+bin/torchrun
+${PYSITELIB}/functorch/__init__.py
+${PYSITELIB}/functorch/__init__.pyc
+${PYSITELIB}/functorch/__init__.pyo
+${PYSITELIB}/functorch/_src/__init__.py
+${PYSITELIB}/functorch/_src/__init__.pyc
+${PYSITELIB}/functorch/_src/__init__.pyo
+${PYSITELIB}/functorch/_src/aot_autograd/__init__.py
+${PYSITELIB}/functorch/_src/aot_autograd/__init__.pyc
+${PYSITELIB}/functorch/_src/aot_autograd/__init__.pyo
+${PYSITELIB}/functorch/_src/eager_transforms/__init__.py
+${PYSITELIB}/functorch/_src/eager_transforms/__init__.pyc
+${PYSITELIB}/functorch/_src/eager_transforms/__init__.pyo
+${PYSITELIB}/functorch/_src/make_functional/__init__.py
+${PYSITELIB}/functorch/_src/make_functional/__init__.pyc
+${PYSITELIB}/functorch/_src/make_functional/__init__.pyo
+${PYSITELIB}/functorch/_src/vmap/__init__.py
+${PYSITELIB}/functorch/_src/vmap/__init__.pyc
+${PYSITELIB}/functorch/_src/vmap/__init__.pyo
+${PYSITELIB}/functorch/compile/__init__.py
+${PYSITELIB}/functorch/compile/__init__.pyc
+${PYSITELIB}/functorch/compile/__init__.pyo
+${PYSITELIB}/functorch/dim/__init__.py
+${PYSITELIB}/functorch/dim/__init__.pyc
+${PYSITELIB}/functorch/dim/__init__.pyo
+${PYSITELIB}/functorch/dim/_dim_entry.py
+${PYSITELIB}/functorch/dim/_dim_entry.pyc
+${PYSITELIB}/functorch/dim/_dim_entry.pyo
+${PYSITELIB}/functorch/dim/_enable_all_layers.py
+${PYSITELIB}/functorch/dim/_enable_all_layers.pyc
+${PYSITELIB}/functorch/dim/_enable_all_layers.pyo
+${PYSITELIB}/functorch/dim/_getsetitem.py
+${PYSITELIB}/functorch/dim/_getsetitem.pyc
+${PYSITELIB}/functorch/dim/_getsetitem.pyo
+${PYSITELIB}/functorch/dim/_order.py
+${PYSITELIB}/functorch/dim/_order.pyc
+${PYSITELIB}/functorch/dim/_order.pyo
+${PYSITELIB}/functorch/dim/_py_inst_decoder.py
+${PYSITELIB}/functorch/dim/_py_inst_decoder.pyc
+${PYSITELIB}/functorch/dim/_py_inst_decoder.pyo
+${PYSITELIB}/functorch/dim/_tensor_info.py
+${PYSITELIB}/functorch/dim/_tensor_info.pyc
+${PYSITELIB}/functorch/dim/_tensor_info.pyo
+${PYSITELIB}/functorch/dim/_wrap.py
+${PYSITELIB}/functorch/dim/_wrap.pyc
+${PYSITELIB}/functorch/dim/_wrap.pyo
+${PYSITELIB}/functorch/dim/magic_trace.py
+${PYSITELIB}/functorch/dim/magic_trace.pyc
+${PYSITELIB}/functorch/dim/magic_trace.pyo
+${PYSITELIB}/functorch/dim/op_properties.py
+${PYSITELIB}/functorch/dim/op_properties.pyc
+${PYSITELIB}/functorch/dim/op_properties.pyo
+${PYSITELIB}/functorch/dim/wrap_type.py
+${PYSITELIB}/functorch/dim/wrap_type.pyc
+${PYSITELIB}/functorch/dim/wrap_type.pyo
+${PYSITELIB}/functorch/einops/__init__.py
+${PYSITELIB}/functorch/einops/__init__.pyc
+${PYSITELIB}/functorch/einops/__init__.pyo
+${PYSITELIB}/functorch/einops/_parsing.py
+${PYSITELIB}/functorch/einops/_parsing.pyc
+${PYSITELIB}/functorch/einops/_parsing.pyo
+${PYSITELIB}/functorch/einops/rearrange.py
+${PYSITELIB}/functorch/einops/rearrange.pyc
+${PYSITELIB}/functorch/einops/rearrange.pyo
+${PYSITELIB}/functorch/experimental/__init__.py
+${PYSITELIB}/functorch/experimental/__init__.pyc
+${PYSITELIB}/functorch/experimental/__init__.pyo
+${PYSITELIB}/functorch/experimental/control_flow.py
+${PYSITELIB}/functorch/experimental/control_flow.pyc
+${PYSITELIB}/functorch/experimental/control_flow.pyo
+${PYSITELIB}/functorch/experimental/ops.py
+${PYSITELIB}/functorch/experimental/ops.pyc
+${PYSITELIB}/functorch/experimental/ops.pyo
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/METADATA
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/RECORD
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/WHEEL
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/entry_points.txt
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/licenses/LICENSE
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/licenses/NOTICE
+${PYSITELIB}/torch-${PKGVERSION}a0+gitunknown.dist-info/top_level.txt
+${PYSITELIB}/torch/_C.so
+${PYSITELIB}/torch/_C/_VariableFunctions.pyi
+${PYSITELIB}/torch/_C/__init__.pyi
+${PYSITELIB}/torch/_C/_acc/__init__.pyi
+${PYSITELIB}/torch/_C/_aoti.pyi
+${PYSITELIB}/torch/_C/_autograd.pyi
+${PYSITELIB}/torch/_C/_cpu.pyi
+${PYSITELIB}/torch/_C/_cudnn.pyi
+${PYSITELIB}/torch/_C/_cusparselt.pyi
+${PYSITELIB}/torch/_C/_distributed.pyi
+${PYSITELIB}/torch/_C/_distributed_autograd.pyi
+${PYSITELIB}/torch/_C/_distributed_c10d.pyi
+${PYSITELIB}/torch/_C/_distributed_rpc.pyi
+${PYSITELIB}/torch/_C/_distributed_rpc_testing.pyi
+${PYSITELIB}/torch/_C/_dynamo/__init__.pyi
+${PYSITELIB}/torch/_C/_dynamo/compiled_autograd.pyi
+${PYSITELIB}/torch/_C/_dynamo/eval_frame.pyi
+${PYSITELIB}/torch/_C/_dynamo/guards.pyi
+${PYSITELIB}/torch/_C/_export/__init__.pyi
+${PYSITELIB}/torch/_C/_export/pt2_archive_constants.pyi
+${PYSITELIB}/torch/_C/_functionalization.pyi
+${PYSITELIB}/torch/_C/_functions.pyi
+${PYSITELIB}/torch/_C/_functorch.pyi
+${PYSITELIB}/torch/_C/_instruction_counter.pyi
+${PYSITELIB}/torch/_C/_itt.pyi
+${PYSITELIB}/torch/_C/_jit_tree_views.pyi
+${PYSITELIB}/torch/_C/_lazy.pyi
+${PYSITELIB}/torch/_C/_lazy_ts_backend.pyi
+${PYSITELIB}/torch/_C/_monitor.pyi
+${PYSITELIB}/torch/_C/_nn.pyi
+${PYSITELIB}/torch/_C/_nvtx.pyi
+${PYSITELIB}/torch/_C/_onnx.pyi
+${PYSITELIB}/torch/_C/_profiler.pyi
+${PYSITELIB}/torch/_C/_verbose.pyi
+${PYSITELIB}/torch/_C_flatbuffer/__init__.pyi
+${PYSITELIB}/torch/_VF.py
+${PYSITELIB}/torch/_VF.pyc
+${PYSITELIB}/torch/_VF.pyi
+${PYSITELIB}/torch/_VF.pyo
+${PYSITELIB}/torch/__config__.py
+${PYSITELIB}/torch/__config__.pyc
+${PYSITELIB}/torch/__config__.pyo
+${PYSITELIB}/torch/__future__.py
+${PYSITELIB}/torch/__future__.pyc
+${PYSITELIB}/torch/__future__.pyo
+${PYSITELIB}/torch/__init__.py
+${PYSITELIB}/torch/__init__.pyc
+${PYSITELIB}/torch/__init__.pyo
+${PYSITELIB}/torch/_appdirs.py
+${PYSITELIB}/torch/_appdirs.pyc
+${PYSITELIB}/torch/_appdirs.pyo
+${PYSITELIB}/torch/_awaits/__init__.py
+${PYSITELIB}/torch/_awaits/__init__.pyc
+${PYSITELIB}/torch/_awaits/__init__.pyo
+${PYSITELIB}/torch/_classes.py
+${PYSITELIB}/torch/_classes.pyc
+${PYSITELIB}/torch/_classes.pyo
+${PYSITELIB}/torch/_compile.py
+${PYSITELIB}/torch/_compile.pyc
+${PYSITELIB}/torch/_compile.pyo
+${PYSITELIB}/torch/_custom_op/__init__.py
+${PYSITELIB}/torch/_custom_op/__init__.pyc
+${PYSITELIB}/torch/_custom_op/__init__.pyo
+${PYSITELIB}/torch/_custom_op/autograd.py
+${PYSITELIB}/torch/_custom_op/autograd.pyc
+${PYSITELIB}/torch/_custom_op/autograd.pyo
+${PYSITELIB}/torch/_custom_op/impl.py
+${PYSITELIB}/torch/_custom_op/impl.pyc
+${PYSITELIB}/torch/_custom_op/impl.pyo
+${PYSITELIB}/torch/_custom_ops.py
+${PYSITELIB}/torch/_custom_ops.pyc
+${PYSITELIB}/torch/_custom_ops.pyo
+${PYSITELIB}/torch/_decomp/__init__.py
+${PYSITELIB}/torch/_decomp/__init__.pyc
+${PYSITELIB}/torch/_decomp/__init__.pyo
+${PYSITELIB}/torch/_decomp/decompositions.py
+${PYSITELIB}/torch/_decomp/decompositions.pyc
+${PYSITELIB}/torch/_decomp/decompositions.pyo
+${PYSITELIB}/torch/_decomp/decompositions_for_jvp.py
+${PYSITELIB}/torch/_decomp/decompositions_for_jvp.pyc
+${PYSITELIB}/torch/_decomp/decompositions_for_jvp.pyo
+${PYSITELIB}/torch/_decomp/decompositions_for_rng.py
+${PYSITELIB}/torch/_decomp/decompositions_for_rng.pyc
+${PYSITELIB}/torch/_decomp/decompositions_for_rng.pyo
+${PYSITELIB}/torch/_dispatch/__init__.py
+${PYSITELIB}/torch/_dispatch/__init__.pyc
+${PYSITELIB}/torch/_dispatch/__init__.pyo
+${PYSITELIB}/torch/_dispatch/python.py
+${PYSITELIB}/torch/_dispatch/python.pyc
+${PYSITELIB}/torch/_dispatch/python.pyo
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+${PYSITELIB}/torchgen/api/dispatcher.py
+${PYSITELIB}/torchgen/api/dispatcher.pyc
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+${PYSITELIB}/torchgen/api/functionalization.py
+${PYSITELIB}/torchgen/api/functionalization.pyc
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+${PYSITELIB}/torchgen/api/python.py
+${PYSITELIB}/torchgen/api/python.pyc
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+${PYSITELIB}/torchgen/api/translate.py
+${PYSITELIB}/torchgen/api/translate.pyc
+${PYSITELIB}/torchgen/api/translate.pyo
+${PYSITELIB}/torchgen/api/types/__init__.py
+${PYSITELIB}/torchgen/api/types/__init__.pyc
+${PYSITELIB}/torchgen/api/types/__init__.pyo
+${PYSITELIB}/torchgen/api/types/signatures.py
+${PYSITELIB}/torchgen/api/types/signatures.pyc
+${PYSITELIB}/torchgen/api/types/signatures.pyo
+${PYSITELIB}/torchgen/api/types/types.py
+${PYSITELIB}/torchgen/api/types/types.pyc
+${PYSITELIB}/torchgen/api/types/types.pyo
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+${PYSITELIB}/torchgen/api/types/types_base.pyc
+${PYSITELIB}/torchgen/api/types/types_base.pyo
+${PYSITELIB}/torchgen/api/ufunc.py
+${PYSITELIB}/torchgen/api/ufunc.pyc
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+${PYSITELIB}/torchgen/api/unboxing.py
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+${PYSITELIB}/torchgen/code_template.pyc
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+${PYSITELIB}/torchgen/context.py
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+${PYSITELIB}/torchgen/dest/__init__.pyc
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+${PYSITELIB}/torchgen/dest/lazy_ir.pyo
+${PYSITELIB}/torchgen/dest/lazy_ts_lowering.py
+${PYSITELIB}/torchgen/dest/lazy_ts_lowering.pyc
+${PYSITELIB}/torchgen/dest/lazy_ts_lowering.pyo
+${PYSITELIB}/torchgen/dest/native_functions.py
+${PYSITELIB}/torchgen/dest/native_functions.pyc
+${PYSITELIB}/torchgen/dest/native_functions.pyo
+${PYSITELIB}/torchgen/dest/register_dispatch_key.py
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+${PYSITELIB}/torchgen/dest/register_dispatch_key.pyo
+${PYSITELIB}/torchgen/dest/ufunc.py
+${PYSITELIB}/torchgen/dest/ufunc.pyc
+${PYSITELIB}/torchgen/dest/ufunc.pyo
+${PYSITELIB}/torchgen/gen.py
+${PYSITELIB}/torchgen/gen.pyc
+${PYSITELIB}/torchgen/gen.pyo
+${PYSITELIB}/torchgen/gen_aoti_c_shim.py
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+${PYSITELIB}/torchgen/gen_aoti_c_shim.pyo
+${PYSITELIB}/torchgen/gen_backend_stubs.py
+${PYSITELIB}/torchgen/gen_backend_stubs.pyc
+${PYSITELIB}/torchgen/gen_backend_stubs.pyo
+${PYSITELIB}/torchgen/gen_functionalization_type.py
+${PYSITELIB}/torchgen/gen_functionalization_type.pyc
+${PYSITELIB}/torchgen/gen_functionalization_type.pyo
+${PYSITELIB}/torchgen/gen_lazy_tensor.py
+${PYSITELIB}/torchgen/gen_lazy_tensor.pyc
+${PYSITELIB}/torchgen/gen_lazy_tensor.pyo
+${PYSITELIB}/torchgen/gen_schema_utils.py
+${PYSITELIB}/torchgen/gen_schema_utils.pyc
+${PYSITELIB}/torchgen/gen_schema_utils.pyo
+${PYSITELIB}/torchgen/gen_vmap_plumbing.py
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+${PYSITELIB}/torchgen/local.py
+${PYSITELIB}/torchgen/local.pyc
+${PYSITELIB}/torchgen/local.pyo
+${PYSITELIB}/torchgen/model.py
+${PYSITELIB}/torchgen/model.pyc
+${PYSITELIB}/torchgen/model.pyo
+${PYSITELIB}/torchgen/native_function_generation.py
+${PYSITELIB}/torchgen/native_function_generation.pyc
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+${PYSITELIB}/torchgen/operator_versions/__init__.py
+${PYSITELIB}/torchgen/operator_versions/__init__.pyc
+${PYSITELIB}/torchgen/operator_versions/__init__.pyo
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders.py
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders.pyc
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders.pyo
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders_constant.py
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders_constant.pyc
+${PYSITELIB}/torchgen/operator_versions/gen_mobile_upgraders_constant.pyo
+${PYSITELIB}/torchgen/packaged/ATen/native/native_functions.yaml
+${PYSITELIB}/torchgen/packaged/ATen/native/tags.yaml
+${PYSITELIB}/torchgen/packaged/ATen/templates/ATenOpList.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/DispatchKeyFunction.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/DispatchKeyFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/Function.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/FunctionalInverses.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/Functions.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/Functions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/LazyIr.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/LazyNonNativeIr.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/MethodOperators.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/NativeFunction.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/NativeFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/NativeMetaFunction.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/NativeMetaFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/Operator.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/Operators.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/Operators.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/RedispatchFunctions.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RedispatchFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegisterSchema.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/RegistrationDeclarations.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/TensorBody.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/TensorMethods.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/UfuncCPU.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/UfuncCUDA.cu
+${PYSITELIB}/torchgen/packaged/ATen/templates/UnboxingFunctions.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/UnboxingFunctions.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/ViewMetaClasses.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/ViewMetaClasses.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/ViewMetaClassesPythonBinding.cpp
+${PYSITELIB}/torchgen/packaged/ATen/templates/aten_interned_strings.h
+${PYSITELIB}/torchgen/packaged/ATen/templates/enum_tag.h
+${PYSITELIB}/torchgen/packaged/autograd/BUILD.bazel
+${PYSITELIB}/torchgen/packaged/autograd/README.md
+${PYSITELIB}/torchgen/packaged/autograd/__init__.py
+${PYSITELIB}/torchgen/packaged/autograd/__init__.pyc
+${PYSITELIB}/torchgen/packaged/autograd/__init__.pyo
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+${PYSITELIB}/torchgen/packaged/autograd/templates/ADInplaceOrViewType.cpp
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+${PYSITELIB}/torchgen/packaged/autograd/templates/Functions.h
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+${PYSITELIB}/torchgen/packaged/autograd/templates/python_fft_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_functions.h
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_linalg_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_nested_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_nn_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_return_types.cpp
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+${PYSITELIB}/torchgen/packaged/autograd/templates/python_sparse_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_special_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_torch_functions.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/python_variable_methods.cpp
+${PYSITELIB}/torchgen/packaged/autograd/templates/variable_factories.h
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+${PYSITELIB}/torchgen/static_runtime/__init__.pyo
+${PYSITELIB}/torchgen/static_runtime/config.py
+${PYSITELIB}/torchgen/static_runtime/config.pyc
+${PYSITELIB}/torchgen/static_runtime/config.pyo
+${PYSITELIB}/torchgen/static_runtime/gen_static_runtime_ops.py
+${PYSITELIB}/torchgen/static_runtime/gen_static_runtime_ops.pyc
+${PYSITELIB}/torchgen/static_runtime/gen_static_runtime_ops.pyo
+${PYSITELIB}/torchgen/static_runtime/generator.py
+${PYSITELIB}/torchgen/static_runtime/generator.pyc
+${PYSITELIB}/torchgen/static_runtime/generator.pyo
+${PYSITELIB}/torchgen/utils.py
+${PYSITELIB}/torchgen/utils.pyc
+${PYSITELIB}/torchgen/utils.pyo
+${PYSITELIB}/torchgen/yaml_utils.py
+${PYSITELIB}/torchgen/yaml_utils.pyc
+${PYSITELIB}/torchgen/yaml_utils.pyo
diff --git a/py-torch/TODO b/py-torch/TODO
new file mode 100644
index 0000000000..e7cb421482
--- /dev/null
+++ b/py-torch/TODO
@@ -0,0 +1,16 @@
+Only installs the Python files, not the headers and libraries.
+
+This leads to:
+
+ERROR: lib/python3.14/site-packages/torch/_C.so: missing library: libtorch_python.so
+ERROR: lib/python3.14/site-packages/torch/bin/torch_shm_manager: missing library: libshm.so
+ERROR: lib/python3.14/site-packages/torch/bin/torch_shm_manager: missing library: libc10.so
+ERROR: lib/python3.14/site-packages/torch/lib/libshm.so: missing library: libtorch_cpu.so
+ERROR: lib/python3.14/site-packages/torch/lib/libshm.so: missing library: libc10.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch.so: missing library: libtorch_cpu.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch_cpu.so: missing library: libc10.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch_python.so: missing library: libtorch.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch_python.so: missing library: libshm.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch_python.so: missing library: libtorch_cpu.so
+ERROR: lib/python3.14/site-packages/torch/lib/libtorch_python.so: missing library: libc10.so
+*** Error code 1
diff --git a/py-torch/buildlink3.mk b/py-torch/buildlink3.mk
new file mode 100644
index 0000000000..d98df0972a
--- /dev/null
+++ b/py-torch/buildlink3.mk
@@ -0,0 +1,15 @@
+# $NetBSD: buildlink3.mk,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+BUILDLINK_TREE+=	py-torch
+
+.if !defined(PY_TORCH_BUILDLINK3_MK)
+PY_TORCH_BUILDLINK3_MK:=
+
+.include "../../lang/python/pyversion.mk"
+
+BUILDLINK_API_DEPENDS.py-torch+=	${PYPKGPREFIX}-torch>=2.5.1
+BUILDLINK_PKGSRCDIR.py-torch?=		../../wip/py-torch
+
+.endif	# PY_TORCH_BUILDLINK3_MK
+
+BUILDLINK_TREE+=	-py-torch
diff --git a/py-torch/distinfo b/py-torch/distinfo
new file mode 100644
index 0000000000..99708cba13
--- /dev/null
+++ b/py-torch/distinfo
@@ -0,0 +1,29 @@
+$NetBSD$
+
+BLAKE2s (pytorch-v2.12.1.tar.gz) = e838105c3feba32caead605d7257c9324b8a8b500e06062ad7f36e115c068169
+SHA512 (pytorch-v2.12.1.tar.gz) = f8112bbd5c2884530b0121dd4cf574e77d1d60b53cca4b5949a951babc348970b0ca7e2bdaf6b17fc871966600f0a08c744bcaf9c098cec24b26fafb0a90f47a
+Size (pytorch-v2.12.1.tar.gz) = 430918199 bytes
+SHA1 (patch-c10_test_core_Scalar__test.cpp) = 7b3908b286e90c5b94f82a4ebf6cdca629f6ad0d
+SHA1 (patch-cmake_Dependencies.cmake) = d524cb2a811788d801f086a3a84625f4c3dc3bf8
+SHA1 (patch-cmake_Modules_FindBLAS.cmake) = fd29b5e717eda52f249ee3cff04e6fdd6c398cc2
+SHA1 (patch-cmake_public_mkldnn.cmake) = 3cd077c540c0923a689d403ba92dc2c206b7f937
+SHA1 (patch-third__party_FP16_CMakeLists.txt) = f747d3dd15ed38316b5accea883fb86253730e7c
+SHA1 (patch-third__party_cpuinfo_CMakeLists.txt) = 55643335b5fc63898b9f6b18822bad2d6b5e521a
+SHA1 (patch-third__party_cpuinfo_src_cpuinfo_internal-api.h) = fbdfd4ae278b570514a4473e651d61c3fe2b6ecc
+SHA1 (patch-third__party_cpuinfo_src_init.c) = c57d05229b4eaa0287ed567478de33834b300d68
+SHA1 (patch-third__party_cpuinfo_src_netbsd_api.h) = 018be10b2cb520f870fcc479610bf5200b977bc9
+SHA1 (patch-third__party_cpuinfo_src_netbsd_topology.c) = 5138bf2355bc70042f5ce9f7a019d315be038bca
+SHA1 (patch-third__party_cpuinfo_src_x86_netbsd_init.c) = 52bcc18d780736b6f56f478b90dd81eede2fb499
+SHA1 (patch-third__party_fbgemm_external_cpuinfo_src_init.c) = 8f75ada97904b6d904686d94d93a3caafae8cacf
+SHA1 (patch-third__party_kineto_libkineto_src_ThreadUtil.cpp) = 86d3cb8a1db0ccb09971684313348f76d5a621cd
+SHA1 (patch-third__party_protobuf_cmake_CMakeLists.txt) = 20926b73cb40cde56170dd15c0abd9830ec50c3e
+SHA1 (patch-third__party_protobuf_post__process__dist.sh) = b27d6497f8649491441ef3a2bfc9eb5fa22ba474
+SHA1 (patch-third__party_psimd_CMakeLists.txt) = 8c1a0b0ed20b01585fa49115a98611877c8218be
+SHA1 (patch-third__party_tensorpipe_tensorpipe_common_system.cc) = 6f714d89681c245d531809fbf64b2b9c77fce84d
+SHA1 (patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt) = f9fed7fa15e860f670f309fc4f763b36acd0be54
+SHA1 (patch-tools_build__pytorch__libs.py) = c728f36ecd3289a780dba860a89d99098a52ae74
+SHA1 (patch-tools_optional__submodules.py) = f8340a926eef1512664b0dcc0d88f35370d110ac
+SHA1 (patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp) = a0d8ff016d732b11ce5e372d2e3c3e6b191859d5
+SHA1 (patch-torch_csrc_distributed_c10d_socket.cpp) = cace5d33d59bb8fec1933e74223049e5d63aa0a9
+SHA1 (patch-torch_csrc_utils_byte__order.h) = 089495773fbd7e7340dbd7545341c56d2f4de9b3
+SHA1 (patch-torch_headeronly_macros_Macros.h) = f72fbd8e306b9436cf8a8c7853458b4f1228afe1
diff --git a/py-torch/patches/patch-c10_test_core_Scalar__test.cpp b/py-torch/patches/patch-c10_test_core_Scalar__test.cpp
new file mode 100644
index 0000000000..aa4dca1be4
--- /dev/null
+++ b/py-torch/patches/patch-c10_test_core_Scalar__test.cpp
@@ -0,0 +1,19 @@
+$NetBSD$
+
+Avoid
+c10/test/core/Scalar_test.cpp: In member function 'virtual void ScalarTest_LongsAndLongLongs_Test::TestBody()':
+c10/test/core/Scalar_test.cpp:53:24: error: conversion from 'long long int' to 'c10::Scalar' is ambiguous
+   53 |   Scalar longlongOne = 1LL;
+
+https://github.com/pytorch/pytorch/issues/188911
+
+--- c10/test/core/Scalar_test.cpp.orig	2026-07-03 14:48:13.006025245 +0000
++++ c10/test/core/Scalar_test.cpp
+@@ -50,6 +50,6 @@ TEST(ScalarTest, LongsAndLongLongs) {
+ 
+ TEST(ScalarTest, LongsAndLongLongs) {
+   Scalar longOne = 1L;
+-  Scalar longlongOne = 1LL;
++  Scalar longlongOne = (uint64_t)1LL;
+   ASSERT_EQ(longOne.toInt(), longlongOne.toInt());
+ }
diff --git a/py-torch/patches/patch-cmake_Dependencies.cmake b/py-torch/patches/patch-cmake_Dependencies.cmake
new file mode 100644
index 0000000000..aba2be05ab
--- /dev/null
+++ b/py-torch/patches/patch-cmake_Dependencies.cmake
@@ -0,0 +1,15 @@
+$NetBSD: patch-cmake_Dependencies.cmake,v 1.2 2025/08/19 15:05:38 wiz Exp $
+
+* Fix errors related to RPATH change.
+
+--- cmake/Dependencies.cmake.orig	2024-10-29 18:00:43.000000000 +0000
++++ cmake/Dependencies.cmake
+@@ -9,7 +9,7 @@ endif(APPLE)
+ # Use separate rpaths during build and install phases
+ set(CMAKE_SKIP_BUILD_RPATH  FALSE)
+ # Don't use the install-rpath during the build phase
+-set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE)
++set(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE)
+ set(CMAKE_INSTALL_RPATH "${_rpath_portable_origin}")
+ # Automatically add all linked folders that are NOT in the build directory to
+ # the rpath (per library?)
diff --git a/py-torch/patches/patch-cmake_Modules_FindBLAS.cmake b/py-torch/patches/patch-cmake_Modules_FindBLAS.cmake
new file mode 100644
index 0000000000..b7292cbbb2
--- /dev/null
+++ b/py-torch/patches/patch-cmake_Modules_FindBLAS.cmake
@@ -0,0 +1,16 @@
+$NetBSD: patch-cmake_Modules_FindBLAS.cmake,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Find blas from pkgsrc.
+  XXX: Using BLAS_PC here is completely incorrect.
+
+--- cmake/Modules/FindBLAS.cmake.orig	2025-01-17 11:19:26.996442468 +0000
++++ cmake/Modules/FindBLAS.cmake
+@@ -172,7 +172,7 @@ if((NOT BLAS_LIBRARIES)
+   BLAS
+   sgemm
+   ""
+-  "openblas")
++  "@BLAS_PC@")
+   if(BLAS_LIBRARIES)
+     set(BLAS_INFO "open")
+   endif(BLAS_LIBRARIES)
diff --git a/py-torch/patches/patch-cmake_public_mkldnn.cmake b/py-torch/patches/patch-cmake_public_mkldnn.cmake
new file mode 100644
index 0000000000..d280d4a77b
--- /dev/null
+++ b/py-torch/patches/patch-cmake_public_mkldnn.cmake
@@ -0,0 +1,15 @@
+$NetBSD: patch-cmake_public_mkldnn.cmake,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Fix MLKDNN related undefined symbols.
+
+--- cmake/public/mkldnn.cmake.orig	2025-01-19 14:42:24.569420877 +0000
++++ cmake/public/mkldnn.cmake
+@@ -4,7 +4,7 @@ if(CPU_AARCH64)
+   include(${CMAKE_CURRENT_LIST_DIR}/ComputeLibrary.cmake)
+ endif()
+ 
+-find_package(MKLDNN QUIET)
++find_package(MKLDNN REQUIRED)
+ 
+ if(NOT TARGET caffe2::mkldnn)
+   add_library(caffe2::mkldnn INTERFACE IMPORTED)
diff --git a/py-torch/patches/patch-third__party_FP16_CMakeLists.txt b/py-torch/patches/patch-third__party_FP16_CMakeLists.txt
new file mode 100644
index 0000000000..9b107dee30
--- /dev/null
+++ b/py-torch/patches/patch-third__party_FP16_CMakeLists.txt
@@ -0,0 +1,12 @@
+$NetBSD: patch-third__party_FP16_CMakeLists.txt,v 1.1 2025/08/19 15:05:38 wiz Exp $
+
+Fix build with cmake 4.
+
+--- third_party/FP16/CMakeLists.txt.orig	2025-08-19 13:56:19.467938142 +0000
++++ third_party/FP16/CMakeLists.txt
+@@ -1,4 +1,4 @@
+-CMAKE_MINIMUM_REQUIRED(VERSION 2.8.12 FATAL_ERROR)
++CMAKE_MINIMUM_REQUIRED(VERSION 3.5)
+ 
+ INCLUDE(GNUInstallDirs)
+ 
diff --git a/py-torch/patches/patch-third__party_cpuinfo_CMakeLists.txt b/py-torch/patches/patch-third__party_cpuinfo_CMakeLists.txt
new file mode 100644
index 0000000000..d5884847b0
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_CMakeLists.txt
@@ -0,0 +1,47 @@
+$NetBSD: patch-third__party_cpuinfo_CMakeLists.txt,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Add NetBSD support.
+
+--- third_party/cpuinfo/CMakeLists.txt.orig	2026-06-18 00:45:14.000000000 +0000
++++ third_party/cpuinfo/CMakeLists.txt
+@@ -108,7 +108,7 @@ IF(NOT CMAKE_SYSTEM_NAME)
+       "Target operating system is not specified. "
+       "cpuinfo will compile, but cpuinfo_initialize() will always fail.")
+   SET(CPUINFO_SUPPORTED_PLATFORM FALSE)
+-ELSEIF(NOT CMAKE_SYSTEM_NAME MATCHES "^(Windows|WindowsStore|CYGWIN|MSYS|Darwin|Linux|Android|FreeBSD|Emscripten)$")
++ELSEIF(NOT CMAKE_SYSTEM_NAME MATCHES "^(Windows|WindowsStore|CYGWIN|MSYS|Darwin|Linux|Android|FreeBSD|Emscripten|NetBSD)$")
+   IF(${CMAKE_VERSION} VERSION_GREATER_EQUAL "3.14" AND NOT IS_APPLE_OS)
+     MESSAGE(WARNING
+       "Target operating system \"${CMAKE_SYSTEM_NAME}\" is not supported in cpuinfo. "
+@@ -183,6 +183,8 @@ IF(CPUINFO_SUPPORTED_PLATFORM)
+       LIST(APPEND CPUINFO_SRCS src/x86/windows/init.c)
+     ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "FreeBSD")
+       LIST(APPEND CPUINFO_SRCS src/x86/freebsd/init.c)
++    ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "NetBSD")
++      LIST(APPEND CPUINFO_SRCS src/x86/netbsd/init.c)
+     ENDIF()
+   ELSEIF(CMAKE_SYSTEM_NAME MATCHES "^Windows" AND CPUINFO_TARGET_PROCESSOR MATCHES "^(ARM64|arm64|aarch64)$")
+     LIST(APPEND CPUINFO_SRCS
+@@ -242,9 +244,11 @@ IF(CPUINFO_SUPPORTED_PLATFORM)
+     LIST(APPEND CPUINFO_SRCS src/mach/topology.c)
+   ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "FreeBSD")
+     LIST(APPEND CPUINFO_SRCS src/freebsd/topology.c)
++  ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "NetBSD")
++    LIST(APPEND CPUINFO_SRCS src/netbsd/topology.c)
+   ENDIF()
+ 
+-  IF(CMAKE_SYSTEM_NAME STREQUAL "Linux" OR CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "FreeBSD")
++  IF(CMAKE_SYSTEM_NAME STREQUAL "Linux" OR CMAKE_SYSTEM_NAME STREQUAL "Android" OR CMAKE_SYSTEM_NAME STREQUAL "FreeBSD" OR CMAKE_SYSTEM_NAME STREQUAL "NetBSD")
+     SET(CMAKE_THREAD_PREFER_PTHREAD TRUE)
+     SET(THREADS_PREFER_PTHREAD_FLAG TRUE)
+     FIND_PACKAGE(Threads REQUIRED)
+@@ -310,6 +314,9 @@ IF(CPUINFO_SUPPORTED_PLATFORM)
+     TARGET_COMPILE_DEFINITIONS(cpuinfo PRIVATE _GNU_SOURCE=1)
+     TARGET_COMPILE_DEFINITIONS(cpuinfo_internals PRIVATE _GNU_SOURCE=1)
+   ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "FreeBSD")
++    TARGET_LINK_LIBRARIES(cpuinfo PUBLIC ${CMAKE_THREAD_LIBS_INIT})
++    TARGET_LINK_LIBRARIES(cpuinfo_internals PUBLIC ${CMAKE_THREAD_LIBS_INIT})
++  ELSEIF(CMAKE_SYSTEM_NAME STREQUAL "NetBSD")
+     TARGET_LINK_LIBRARIES(cpuinfo PUBLIC ${CMAKE_THREAD_LIBS_INIT})
+     TARGET_LINK_LIBRARIES(cpuinfo_internals PUBLIC ${CMAKE_THREAD_LIBS_INIT})
+   ENDIF()
diff --git a/py-torch/patches/patch-third__party_cpuinfo_src_cpuinfo_internal-api.h b/py-torch/patches/patch-third__party_cpuinfo_src_cpuinfo_internal-api.h
new file mode 100644
index 0000000000..2dc9b1351e
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_src_cpuinfo_internal-api.h
@@ -0,0 +1,14 @@
+$NetBSD: patch-third__party_cpuinfo_src_cpuinfo_internal-api.h,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* For NetBSD/i386 and amd64.
+
+--- third_party/cpuinfo/src/cpuinfo/internal-api.h.orig	2025-01-20 07:59:15.308588507 +0000
++++ third_party/cpuinfo/src/cpuinfo/internal-api.h
+@@ -50,6 +50,7 @@ extern CPUINFO_INTERNAL const struct cpu
+ CPUINFO_PRIVATE void cpuinfo_x86_mach_init(void);
+ CPUINFO_PRIVATE void cpuinfo_x86_linux_init(void);
+ CPUINFO_PRIVATE void cpuinfo_x86_freebsd_init(void);
++CPUINFO_PRIVATE void cpuinfo_x86_netbsd_init(void);
+ #if defined(_WIN32) || defined(__CYGWIN__)
+ #if CPUINFO_ARCH_ARM64
+ CPUINFO_PRIVATE BOOL CALLBACK cpuinfo_arm_windows_init(PINIT_ONCE init_once, PVOID parameter, PVOID* context);
diff --git a/py-torch/patches/patch-third__party_cpuinfo_src_init.c b/py-torch/patches/patch-third__party_cpuinfo_src_init.c
new file mode 100644
index 0000000000..e30cc87fbe
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_src_init.c
@@ -0,0 +1,15 @@
+$NetBSD: patch-third__party_cpuinfo_src_init.c,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Add NetBSD/i386 and amd64 support.
+
+--- third_party/cpuinfo/src/init.c.orig	2025-01-20 07:07:43.416176101 +0000
++++ third_party/cpuinfo/src/init.c
+@@ -30,6 +30,8 @@ bool CPUINFO_ABI cpuinfo_initialize(void
+ 	pthread_once(&init_guard, &cpuinfo_x86_linux_init);
+ #elif defined(_WIN32) || defined(__CYGWIN__)
+ 	InitOnceExecuteOnce(&init_guard, &cpuinfo_x86_windows_init, NULL, NULL);
++#elif defined(__NetBSD__)
++	pthread_once(&init_guard, &cpuinfo_x86_netbsd_init);
+ #else
+ 	cpuinfo_log_error("operating system is not supported in cpuinfo");
+ #endif
diff --git a/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_api.h b/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_api.h
new file mode 100644
index 0000000000..97986a9351
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_api.h
@@ -0,0 +1,19 @@
+$NetBSD: patch-third__party_cpuinfo_src_netbsd_api.h,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Add NetBSD support.
+
+--- third_party/cpuinfo/src/netbsd/api.h.orig	2025-01-17 16:33:50.739885970 +0000
++++ third_party/cpuinfo/src/netbsd/api.h
+@@ -0,0 +1,12 @@
++#pragma once
++
++#include <stdint.h>
++
++struct cpuinfo_netbsd_topology {
++	uint32_t packages;
++	uint32_t cores;
++	uint32_t threads;
++	uint32_t threads_per_core;
++};
++
++struct cpuinfo_netbsd_topology cpuinfo_netbsd_detect_topology(void);
diff --git a/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_topology.c b/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_topology.c
new file mode 100644
index 0000000000..c04b96e358
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_src_netbsd_topology.c
@@ -0,0 +1,81 @@
+$NetBSD: patch-third__party_cpuinfo_src_netbsd_topology.c,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Add preliminary NetBSD support. This is incorrect anyway.
+
+--- third_party/cpuinfo/src/netbsd/topology.c.orig	2025-01-17 16:33:50.739896420 +0000
++++ third_party/cpuinfo/src/netbsd/topology.c
+@@ -0,0 +1,74 @@
++#include <errno.h>
++#include <stdlib.h>
++#include <string.h>
++
++#include <sys/sysctl.h>
++#include <sys/types.h>
++
++#include <cpuinfo/log.h>
++#include <netbsd/api.h>
++
++static int sysctl_int(const char* name) {
++	int value = 0;
++	size_t value_size = sizeof(value);
++	if (sysctlbyname(name, &value, &value_size, NULL, 0) != 0) {
++		cpuinfo_log_error("sysctlbyname(\"%s\") failed: %s", name, strerror(errno));
++	} else if (value <= 0) {
++		cpuinfo_log_error("sysctlbyname(\"%s\") returned invalid value %d %zu", name, value, value_size);
++		value = 0;
++	}
++	return value;
++}
++
++static char* sysctl_str(const char* name) {
++	size_t value_size = 0;
++	if (sysctlbyname(name, NULL, &value_size, NULL, 0) != 0) {
++		cpuinfo_log_error("sysctlbyname(\"%s\") failed: %s", name, strerror(errno));
++		return NULL;
++	} else if (value_size <= 0) {
++		cpuinfo_log_error("sysctlbyname(\"%s\") returned invalid value size %zu", name, value_size);
++		return NULL;
++	}
++	value_size += 1;
++	char* value = calloc(value_size, 1);
++	if (!value) {
++		cpuinfo_log_error("calloc %zu bytes failed", value_size);
++		return NULL;
++	}
++	if (sysctlbyname(name, value, &value_size, NULL, 0) != 0) {
++		cpuinfo_log_error("sysctlbyname(\"%s\") failed: %s", name, strerror(errno));
++		free(value);
++		return NULL;
++	}
++	return value;
++}
++
++struct cpuinfo_netbsd_topology cpuinfo_netbsd_detect_topology(void) {
++	struct cpuinfo_netbsd_topology topology = {
++		.packages = 0,
++		.cores = 0,
++		.threads_per_core = 0,
++		.threads = 0,
++	};
++	topology.packages = 1;
++	topology.cores = sysctl_int("hw.ncpu");
++	if (topology.cores == 0) {
++		goto fail;
++	}
++	if (topology.cores < topology.packages) {
++		cpuinfo_log_error("invalid numbers of package and core: %d %d", topology.packages, topology.cores);
++		goto fail;
++	}
++	topology.threads_per_core = 1;
++	cpuinfo_log_debug(
++		"netbsd topology: packages = %d, cores = %d, "
++		"threads_per_core = %d",
++		topology.packages,
++		topology.cores,
++		topology.threads_per_core);
++	topology.threads = topology.threads_per_core * topology.cores;
++	return topology;
++fail:
++	topology.packages = 0;
++	return topology;
++}
diff --git a/py-torch/patches/patch-third__party_cpuinfo_src_x86_netbsd_init.c b/py-torch/patches/patch-third__party_cpuinfo_src_x86_netbsd_init.c
new file mode 100644
index 0000000000..35fbbf1711
--- /dev/null
+++ b/py-torch/patches/patch-third__party_cpuinfo_src_x86_netbsd_init.c
@@ -0,0 +1,405 @@
+$NetBSD: patch-third__party_cpuinfo_src_x86_netbsd_init.c,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Add preliminary NetBSD support.
+
+--- third_party/cpuinfo/src/x86/netbsd/init.c.orig	2025-01-17 16:37:03.578563361 +0000
++++ third_party/cpuinfo/src/x86/netbsd/init.c
+@@ -0,0 +1,398 @@
++#include <stdint.h>
++#include <stdlib.h>
++#include <string.h>
++
++#include <cpuinfo.h>
++#include <cpuinfo/internal-api.h>
++#include <cpuinfo/log.h>
++#include <netbsd/api.h>
++#include <x86/api.h>
++
++static inline uint32_t max(uint32_t a, uint32_t b) {
++	return a > b ? a : b;
++}
++
++static inline uint32_t bit_mask(uint32_t bits) {
++	return (UINT32_C(1) << bits) - UINT32_C(1);
++}
++
++void cpuinfo_x86_netbsd_init(void) {
++	struct cpuinfo_processor* processors = NULL;
++	struct cpuinfo_core* cores = NULL;
++	struct cpuinfo_cluster* clusters = NULL;
++	struct cpuinfo_package* packages = NULL;
++	struct cpuinfo_cache* l1i = NULL;
++	struct cpuinfo_cache* l1d = NULL;
++	struct cpuinfo_cache* l2 = NULL;
++	struct cpuinfo_cache* l3 = NULL;
++	struct cpuinfo_cache* l4 = NULL;
++
++	struct cpuinfo_netbsd_topology netbsd_topology = cpuinfo_netbsd_detect_topology();
++	if (netbsd_topology.packages == 0) {
++		cpuinfo_log_error("failed to detect topology");
++		goto cleanup;
++	}
++	processors = calloc(netbsd_topology.threads, sizeof(struct cpuinfo_processor));
++	if (processors == NULL) {
++		cpuinfo_log_error(
++			"failed to allocate %zu bytes for descriptions of %" PRIu32 " logical processors",
++			netbsd_topology.threads * sizeof(struct cpuinfo_processor),
++			netbsd_topology.threads);
++		goto cleanup;
++	}
++	cores = calloc(netbsd_topology.cores, sizeof(struct cpuinfo_core));
++	if (cores == NULL) {
++		cpuinfo_log_error(
++			"failed to allocate %zu bytes for descriptions of %" PRIu32 " cores",
++			netbsd_topology.cores * sizeof(struct cpuinfo_core),
++			netbsd_topology.cores);
++		goto cleanup;
++	}
++	/* On x86 a cluster of cores is the biggest group of cores that shares a
++	 * cache. */
++	clusters = calloc(netbsd_topology.packages, sizeof(struct cpuinfo_cluster));
++	if (clusters == NULL) {
++		cpuinfo_log_error(
++			"failed to allocate %zu bytes for descriptions of %" PRIu32 " core clusters",
++			netbsd_topology.packages * sizeof(struct cpuinfo_cluster),
++			netbsd_topology.packages);
++		goto cleanup;
++	}
++	packages = calloc(netbsd_topology.packages, sizeof(struct cpuinfo_package));
++	if (packages == NULL) {
++		cpuinfo_log_error(
++			"failed to allocate %zu bytes for descriptions of %" PRIu32 " physical packages",
++			netbsd_topology.packages * sizeof(struct cpuinfo_package),
++			netbsd_topology.packages);
++		goto cleanup;
++	}
++
++	struct cpuinfo_x86_processor x86_processor;
++	memset(&x86_processor, 0, sizeof(x86_processor));
++	cpuinfo_x86_init_processor(&x86_processor);
++	char brand_string[48];
++	cpuinfo_x86_normalize_brand_string(x86_processor.brand_string, brand_string);
++
++	const uint32_t threads_per_core = netbsd_topology.threads_per_core;
++	const uint32_t threads_per_package = netbsd_topology.threads / netbsd_topology.packages;
++	const uint32_t cores_per_package = netbsd_topology.cores / netbsd_topology.packages;
++	for (uint32_t i = 0; i < netbsd_topology.packages; i++) {
++		clusters[i] = (struct cpuinfo_cluster){
++			.processor_start = i * threads_per_package,
++			.processor_count = threads_per_package,
++			.core_start = i * cores_per_package,
++			.core_count = cores_per_package,
++			.cluster_id = 0,
++			.package = packages + i,
++			.vendor = x86_processor.vendor,
++			.uarch = x86_processor.uarch,
++			.cpuid = x86_processor.cpuid,
++		};
++		packages[i].processor_start = i * threads_per_package;
++		packages[i].processor_count = threads_per_package;
++		packages[i].core_start = i * cores_per_package;
++		packages[i].core_count = cores_per_package;
++		packages[i].cluster_start = i;
++		packages[i].cluster_count = 1;
++		cpuinfo_x86_format_package_name(x86_processor.vendor, brand_string, packages[i].name);
++	}
++	for (uint32_t i = 0; i < netbsd_topology.cores; i++) {
++		cores[i] = (struct cpuinfo_core){
++			.processor_start = i * threads_per_core,
++			.processor_count = threads_per_core,
++			.core_id = i % cores_per_package,
++			.cluster = clusters + i / cores_per_package,
++			.package = packages + i / cores_per_package,
++			.vendor = x86_processor.vendor,
++			.uarch = x86_processor.uarch,
++			.cpuid = x86_processor.cpuid,
++		};
++	}
++	for (uint32_t i = 0; i < netbsd_topology.threads; i++) {
++		const uint32_t smt_id = i % threads_per_core;
++		const uint32_t core_id = i / threads_per_core;
++		const uint32_t package_id = i / threads_per_package;
++
++		/* Reconstruct APIC IDs from topology components */
++		const uint32_t thread_bits_mask = bit_mask(x86_processor.topology.thread_bits_length);
++		const uint32_t core_bits_mask = bit_mask(x86_processor.topology.core_bits_length);
++		const uint32_t package_bits_offset =
++			max(x86_processor.topology.thread_bits_offset + x86_processor.topology.thread_bits_length,
++			    x86_processor.topology.core_bits_offset + x86_processor.topology.core_bits_length);
++		const uint32_t apic_id = ((smt_id & thread_bits_mask) << x86_processor.topology.thread_bits_offset) |
++			((core_id & core_bits_mask) << x86_processor.topology.core_bits_offset) |
++			(package_id << package_bits_offset);
++		cpuinfo_log_debug("reconstructed APIC ID 0x%08" PRIx32 " for thread %" PRIu32, apic_id, i);
++
++		processors[i].smt_id = smt_id;
++		processors[i].core = cores + i / threads_per_core;
++		processors[i].cluster = clusters + i / threads_per_package;
++		processors[i].package = packages + i / threads_per_package;
++		processors[i].apic_id = apic_id;
++	}
++
++	uint32_t threads_per_l1 = 0, l1_count = 0;
++	if (x86_processor.cache.l1i.size != 0 || x86_processor.cache.l1d.size != 0) {
++		/* Assume that threads on the same core share L1 */
++		threads_per_l1 = netbsd_topology.threads / netbsd_topology.cores;
++		if (threads_per_l1 == 0) {
++			cpuinfo_log_error("failed to detect threads_per_l1");
++			goto cleanup;
++		}
++		cpuinfo_log_warning(
++			"netbsd kernel did not report number of "
++			"threads sharing L1 cache; assume %" PRIu32,
++			threads_per_l1);
++		l1_count = netbsd_topology.threads / threads_per_l1;
++		cpuinfo_log_debug("detected %" PRIu32 " L1 caches", l1_count);
++	}
++
++	uint32_t threads_per_l2 = 0, l2_count = 0;
++	if (x86_processor.cache.l2.size != 0) {
++		if (x86_processor.cache.l3.size != 0) {
++			/* This is not a last-level cache; assume that threads
++			 * on the same core share L2 */
++			threads_per_l2 = netbsd_topology.threads / netbsd_topology.cores;
++		} else {
++			/* This is a last-level cache; assume that threads on
++			 * the same package share L2 */
++			threads_per_l2 = netbsd_topology.threads / netbsd_topology.packages;
++		}
++		if (threads_per_l2 == 0) {
++			cpuinfo_log_error("failed to detect threads_per_l1");
++			goto cleanup;
++		}
++		cpuinfo_log_warning(
++			"netbsd kernel did not report number of "
++			"threads sharing L2 cache; assume %" PRIu32,
++			threads_per_l2);
++		l2_count = netbsd_topology.threads / threads_per_l2;
++		cpuinfo_log_debug("detected %" PRIu32 " L2 caches", l2_count);
++	}
++
++	uint32_t threads_per_l3 = 0, l3_count = 0;
++	if (x86_processor.cache.l3.size != 0) {
++		/*
++		 * Assume that threads on the same package share L3.
++		 * However, is it not necessarily the last-level cache (there
++		 * may be L4 cache as well)
++		 */
++		threads_per_l3 = netbsd_topology.threads / netbsd_topology.packages;
++		if (threads_per_l3 == 0) {
++			cpuinfo_log_error("failed to detect threads_per_l3");
++			goto cleanup;
++		}
++		cpuinfo_log_warning(
++			"netbsd kernel did not report number of "
++			"threads sharing L3 cache; assume %" PRIu32,
++			threads_per_l3);
++		l3_count = netbsd_topology.threads / threads_per_l3;
++		cpuinfo_log_debug("detected %" PRIu32 " L3 caches", l3_count);
++	}
++
++	uint32_t threads_per_l4 = 0, l4_count = 0;
++	if (x86_processor.cache.l4.size != 0) {
++		/*
++		 * Assume that all threads share this L4.
++		 * As of now, L4 cache exists only on notebook x86 CPUs, which
++		 * are single-package, but multi-socket systems could have
++		 * shared L4 (like on IBM POWER8).
++		 */
++		threads_per_l4 = netbsd_topology.threads;
++		if (threads_per_l4 == 0) {
++			cpuinfo_log_error("failed to detect threads_per_l4");
++			goto cleanup;
++		}
++		cpuinfo_log_warning(
++			"netbsd kernel did not report number of "
++			"threads sharing L4 cache; assume %" PRIu32,
++			threads_per_l4);
++		l4_count = netbsd_topology.threads / threads_per_l4;
++		cpuinfo_log_debug("detected %" PRIu32 " L4 caches", l4_count);
++	}
++
++	if (x86_processor.cache.l1i.size != 0) {
++		l1i = calloc(l1_count, sizeof(struct cpuinfo_cache));
++		if (l1i == NULL) {
++			cpuinfo_log_error(
++				"failed to allocate %zu bytes for descriptions of "
++				"%" PRIu32 " L1I caches",
++				l1_count * sizeof(struct cpuinfo_cache),
++				l1_count);
++			goto cleanup;
++		}
++		for (uint32_t c = 0; c < l1_count; c++) {
++			l1i[c] = (struct cpuinfo_cache){
++				.size = x86_processor.cache.l1i.size,
++				.associativity = x86_processor.cache.l1i.associativity,
++				.sets = x86_processor.cache.l1i.sets,
++				.partitions = x86_processor.cache.l1i.partitions,
++				.line_size = x86_processor.cache.l1i.line_size,
++				.flags = x86_processor.cache.l1i.flags,
++				.processor_start = c * threads_per_l1,
++				.processor_count = threads_per_l1,
++			};
++		}
++		for (uint32_t t = 0; t < netbsd_topology.threads; t++) {
++			processors[t].cache.l1i = &l1i[t / threads_per_l1];
++		}
++	}
++
++	if (x86_processor.cache.l1d.size != 0) {
++		l1d = calloc(l1_count, sizeof(struct cpuinfo_cache));
++		if (l1d == NULL) {
++			cpuinfo_log_error(
++				"failed to allocate %zu bytes for descriptions of "
++				"%" PRIu32 " L1D caches",
++				l1_count * sizeof(struct cpuinfo_cache),
++				l1_count);
++			goto cleanup;
++		}
++		for (uint32_t c = 0; c < l1_count; c++) {
++			l1d[c] = (struct cpuinfo_cache){
++				.size = x86_processor.cache.l1d.size,
++				.associativity = x86_processor.cache.l1d.associativity,
++				.sets = x86_processor.cache.l1d.sets,
++				.partitions = x86_processor.cache.l1d.partitions,
++				.line_size = x86_processor.cache.l1d.line_size,
++				.flags = x86_processor.cache.l1d.flags,
++				.processor_start = c * threads_per_l1,
++				.processor_count = threads_per_l1,
++			};
++		}
++		for (uint32_t t = 0; t < netbsd_topology.threads; t++) {
++			processors[t].cache.l1d = &l1d[t / threads_per_l1];
++		}
++	}
++
++	if (l2_count != 0) {
++		l2 = calloc(l2_count, sizeof(struct cpuinfo_cache));
++		if (l2 == NULL) {
++			cpuinfo_log_error(
++				"failed to allocate %zu bytes for descriptions of "
++				"%" PRIu32 " L2 caches",
++				l2_count * sizeof(struct cpuinfo_cache),
++				l2_count);
++			goto cleanup;
++		}
++		for (uint32_t c = 0; c < l2_count; c++) {
++			l2[c] = (struct cpuinfo_cache){
++				.size = x86_processor.cache.l2.size,
++				.associativity = x86_processor.cache.l2.associativity,
++				.sets = x86_processor.cache.l2.sets,
++				.partitions = x86_processor.cache.l2.partitions,
++				.line_size = x86_processor.cache.l2.line_size,
++				.flags = x86_processor.cache.l2.flags,
++				.processor_start = c * threads_per_l2,
++				.processor_count = threads_per_l2,
++			};
++		}
++		for (uint32_t t = 0; t < netbsd_topology.threads; t++) {
++			processors[t].cache.l2 = &l2[t / threads_per_l2];
++		}
++	}
++
++	if (l3_count != 0) {
++		l3 = calloc(l3_count, sizeof(struct cpuinfo_cache));
++		if (l3 == NULL) {
++			cpuinfo_log_error(
++				"failed to allocate %zu bytes for descriptions of "
++				"%" PRIu32 " L3 caches",
++				l3_count * sizeof(struct cpuinfo_cache),
++				l3_count);
++			goto cleanup;
++		}
++		for (uint32_t c = 0; c < l3_count; c++) {
++			l3[c] = (struct cpuinfo_cache){
++				.size = x86_processor.cache.l3.size,
++				.associativity = x86_processor.cache.l3.associativity,
++				.sets = x86_processor.cache.l3.sets,
++				.partitions = x86_processor.cache.l3.partitions,
++				.line_size = x86_processor.cache.l3.line_size,
++				.flags = x86_processor.cache.l3.flags,
++				.processor_start = c * threads_per_l3,
++				.processor_count = threads_per_l3,
++			};
++		}
++		for (uint32_t t = 0; t < netbsd_topology.threads; t++) {
++			processors[t].cache.l3 = &l3[t / threads_per_l3];
++		}
++	}
++
++	if (l4_count != 0) {
++		l4 = calloc(l4_count, sizeof(struct cpuinfo_cache));
++		if (l4 == NULL) {
++			cpuinfo_log_error(
++				"failed to allocate %zu bytes for descriptions of "
++				"%" PRIu32 " L4 caches",
++				l4_count * sizeof(struct cpuinfo_cache),
++				l4_count);
++			goto cleanup;
++		}
++		for (uint32_t c = 0; c < l4_count; c++) {
++			l4[c] = (struct cpuinfo_cache){
++				.size = x86_processor.cache.l4.size,
++				.associativity = x86_processor.cache.l4.associativity,
++				.sets = x86_processor.cache.l4.sets,
++				.partitions = x86_processor.cache.l4.partitions,
++				.line_size = x86_processor.cache.l4.line_size,
++				.flags = x86_processor.cache.l4.flags,
++				.processor_start = c * threads_per_l4,
++				.processor_count = threads_per_l4,
++			};
++		}
++		for (uint32_t t = 0; t < netbsd_topology.threads; t++) {
++			processors[t].cache.l4 = &l4[t / threads_per_l4];
++		}
++	}
++
++	/* Commit changes */
++	cpuinfo_processors = processors;
++	cpuinfo_cores = cores;
++	cpuinfo_clusters = clusters;
++	cpuinfo_packages = packages;
++	cpuinfo_cache[cpuinfo_cache_level_1i] = l1i;
++	cpuinfo_cache[cpuinfo_cache_level_1d] = l1d;
++	cpuinfo_cache[cpuinfo_cache_level_2] = l2;
++	cpuinfo_cache[cpuinfo_cache_level_3] = l3;
++	cpuinfo_cache[cpuinfo_cache_level_4] = l4;
++
++	cpuinfo_processors_count = netbsd_topology.threads;
++	cpuinfo_cores_count = netbsd_topology.cores;
++	cpuinfo_clusters_count = netbsd_topology.packages;
++	cpuinfo_packages_count = netbsd_topology.packages;
++	cpuinfo_cache_count[cpuinfo_cache_level_1i] = l1_count;
++	cpuinfo_cache_count[cpuinfo_cache_level_1d] = l1_count;
++	cpuinfo_cache_count[cpuinfo_cache_level_2] = l2_count;
++	cpuinfo_cache_count[cpuinfo_cache_level_3] = l3_count;
++	cpuinfo_cache_count[cpuinfo_cache_level_4] = l4_count;
++	cpuinfo_max_cache_size = cpuinfo_compute_max_cache_size(&processors[0]);
++
++	cpuinfo_global_uarch = (struct cpuinfo_uarch_info){
++		.uarch = x86_processor.uarch,
++		.cpuid = x86_processor.cpuid,
++		.processor_count = netbsd_topology.threads,
++		.core_count = netbsd_topology.cores,
++	};
++
++	__sync_synchronize();
++
++	cpuinfo_is_initialized = true;
++
++	processors = NULL;
++	cores = NULL;
++	clusters = NULL;
++	packages = NULL;
++	l1i = l1d = l2 = l3 = l4 = NULL;
++
++cleanup:
++	free(processors);
++	free(cores);
++	free(clusters);
++	free(packages);
++	free(l1i);
++	free(l1d);
++	free(l2);
++	free(l3);
++	free(l4);
++}
diff --git a/py-torch/patches/patch-third__party_fbgemm_external_cpuinfo_src_init.c b/py-torch/patches/patch-third__party_fbgemm_external_cpuinfo_src_init.c
new file mode 100644
index 0000000000..75fa51215c
--- /dev/null
+++ b/py-torch/patches/patch-third__party_fbgemm_external_cpuinfo_src_init.c
@@ -0,0 +1,15 @@
+$NetBSD: patch-third__party_fbgemm_external_cpuinfo_src_init.c,v 1.2 2026/06/03 06:45:40 wiz Exp $
+
+Add NetBSD support.
+
+--- third_party/fbgemm/external/cpuinfo/src/init.c.orig	2025-08-16 20:50:13.480312485 +0000
++++ third_party/fbgemm/external/cpuinfo/src/init.c
+@@ -28,6 +28,8 @@ bool CPUINFO_ABI cpuinfo_initialize(void
+ 	pthread_once(&init_guard, &cpuinfo_x86_linux_init);
+ #elif defined(_WIN32) || defined(__CYGWIN__)
+ 	InitOnceExecuteOnce(&init_guard, &cpuinfo_x86_windows_init, NULL, NULL);
++#elif defined(__NetBSD__)
++	pthread_once(&init_guard, &cpuinfo_x86_netbsd_init);
+ #else
+ 	cpuinfo_log_error("operating system is not supported in cpuinfo");
+ #endif
diff --git a/py-torch/patches/patch-third__party_kineto_libkineto_src_ThreadUtil.cpp b/py-torch/patches/patch-third__party_kineto_libkineto_src_ThreadUtil.cpp
new file mode 100644
index 0000000000..e72661d5b8
--- /dev/null
+++ b/py-torch/patches/patch-third__party_kineto_libkineto_src_ThreadUtil.cpp
@@ -0,0 +1,35 @@
+$NetBSD: patch-third__party_kineto_libkineto_src_ThreadUtil.cpp,v 1.2 2025/09/27 01:19:55 ryoon Exp $
+
+* Support NetBSD.
+
+--- third_party/kineto/libkineto/src/ThreadUtil.cpp.orig	2026-06-18 00:45:16.000000000 +0000
++++ third_party/kineto/libkineto/src/ThreadUtil.cpp
+@@ -26,6 +26,10 @@
+ #undef ERROR
+ #endif // _WIN32
+ 
++#if defined(__NetBSD__)
++#include <lwp.h>
++#endif
++
+ #ifdef __ANDROID__
+ #include <sys/prctl.h>
+ #endif
+@@ -91,6 +95,8 @@ int32_t systemThreadId(bool cache) {
+     syscall(SYS_thr_self, &sysTid);
+ #elif defined _AIX
+     sysTid = pthread_self();
++#elif defined __NetBSD__
++    sysTid = (int32_t)_lwp_self();
+ #else
+     sysTid = static_cast<int32_t>(syscall(SYS_gettid));
+ #endif
+@@ -162,6 +168,8 @@ bool setThreadName(const std::string& name) {
+   return SUCCEEDED(hr);
+ #elif defined _AIX
+   return 0;
++#elif defined(__NetBSD__)
++  return 0 == pthread_setname_np(pthread_self(), "thread_%s", const_cast<char *>(name.c_str()));
+ #else
+   return 0 == pthread_setname_np(pthread_self(), name.c_str());
+ #endif
diff --git a/py-torch/patches/patch-third__party_protobuf_cmake_CMakeLists.txt b/py-torch/patches/patch-third__party_protobuf_cmake_CMakeLists.txt
new file mode 100644
index 0000000000..c148a98f3f
--- /dev/null
+++ b/py-torch/patches/patch-third__party_protobuf_cmake_CMakeLists.txt
@@ -0,0 +1,13 @@
+$NetBSD: patch-third__party_protobuf_cmake_CMakeLists.txt,v 1.1 2025/08/19 15:05:38 wiz Exp $
+
+Fix build with cmake 4.
+
+--- third_party/protobuf/cmake/CMakeLists.txt.orig	2025-08-19 13:55:51.477503257 +0000
++++ third_party/protobuf/cmake/CMakeLists.txt
+@@ -1,5 +1,5 @@
+ # Minimum CMake required
+-cmake_minimum_required(VERSION 3.1.3)
++cmake_minimum_required(VERSION 3.5)
+ 
+ if(protobuf_VERBOSE)
+   message(STATUS "Protocol Buffers Configuring...")
diff --git a/py-torch/patches/patch-third__party_protobuf_post__process__dist.sh b/py-torch/patches/patch-third__party_protobuf_post__process__dist.sh
new file mode 100644
index 0000000000..9449baeae4
--- /dev/null
+++ b/py-torch/patches/patch-third__party_protobuf_post__process__dist.sh
@@ -0,0 +1,15 @@
+$NetBSD: patch-third__party_protobuf_post__process__dist.sh,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Fix POSIX shell portability issue.
+
+--- third_party/protobuf/post_process_dist.sh.orig	2025-01-17 09:45:58.965296423 +0000
++++ third_party/protobuf/post_process_dist.sh
+@@ -15,7 +15,7 @@
+ #    non-testdata .txt files are converted to Windows-style line endings.
+ # 5) Cleans up after itself.
+ 
+-if [ "$1" == "" ]; then
++if [ "$1" = "" ]; then
+   echo "USAGE:  $0 DISTFILE" >&2
+   exit 1
+ fi
diff --git a/py-torch/patches/patch-third__party_psimd_CMakeLists.txt b/py-torch/patches/patch-third__party_psimd_CMakeLists.txt
new file mode 100644
index 0000000000..cf9a68cda5
--- /dev/null
+++ b/py-torch/patches/patch-third__party_psimd_CMakeLists.txt
@@ -0,0 +1,12 @@
+$NetBSD: patch-third__party_psimd_CMakeLists.txt,v 1.1 2025/08/19 15:05:38 wiz Exp $
+
+Fix build with cmake 4.
+
+--- third_party/psimd/CMakeLists.txt.orig	2025-08-19 13:56:30.377607952 +0000
++++ third_party/psimd/CMakeLists.txt
+@@ -1,4 +1,4 @@
+-CMAKE_MINIMUM_REQUIRED(VERSION 2.8.12 FATAL_ERROR)
++CMAKE_MINIMUM_REQUIRED(VERSION 3.5)
+ 
+ INCLUDE(GNUInstallDirs)
+ 
diff --git a/py-torch/patches/patch-third__party_tensorpipe_tensorpipe_common_system.cc b/py-torch/patches/patch-third__party_tensorpipe_tensorpipe_common_system.cc
new file mode 100644
index 0000000000..1b7ee8b061
--- /dev/null
+++ b/py-torch/patches/patch-third__party_tensorpipe_tensorpipe_common_system.cc
@@ -0,0 +1,18 @@
+$NetBSD: patch-third__party_tensorpipe_tensorpipe_common_system.cc,v 1.1 2025/01/23 14:31:16 ryoon Exp $
+
+* Retern fake boot ID under NetBSD.
+
+--- third_party/tensorpipe/tensorpipe/common/system.cc.orig	2025-01-21 15:51:15.145360508 +0000
++++ third_party/tensorpipe/tensorpipe/common/system.cc
+@@ -101,7 +101,10 @@ std::string getPathForLinuxNamespace(Lin
+   }
+   return oss.str();
+ }
+-
++#elif defined(__NetBSD__)
++optional<std::string> getBootIDInternal() {
++  return std::string("00000000-0000-0000-0000-000000000000");
++}
+ #endif
+ 
+ } // namespace
diff --git a/py-torch/patches/patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt b/py-torch/patches/patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt
new file mode 100644
index 0000000000..0c8e66dadb
--- /dev/null
+++ b/py-torch/patches/patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt
@@ -0,0 +1,15 @@
+$NetBSD: patch-third__party_tensorpipe_third__party_libuv_CMakeLists.txt,v 1.1 2025/08/19 15:05:39 wiz Exp $
+
+Fix build with cmake 4.
+
+--- third_party/tensorpipe/third_party/libuv/CMakeLists.txt.orig	2026-06-18 00:45:18.000000000 +0000
++++ third_party/tensorpipe/third_party/libuv/CMakeLists.txt
+@@ -6,7 +6,7 @@ endif()
+ if(POLICY CMP0092)
+   cmake_policy(SET CMP0092 NEW) # disable /W3 warning, if possible
+ endif()
+-
++cmake_minimum_required(VERSION 3.5)
+ project(libuv LANGUAGES C)
+ 
+ list(APPEND CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake")
diff --git a/py-torch/patches/patch-tools_build__pytorch__libs.py b/py-torch/patches/patch-tools_build__pytorch__libs.py
new file mode 100644
index 0000000000..a762827521
--- /dev/null
+++ b/py-torch/patches/patch-tools_build__pytorch__libs.py
@@ -0,0 +1,26 @@
+$NetBSD$
+
+--- tools/build_pytorch_libs.py.orig	2026-07-03 17:19:32.498221335 +0000
++++ tools/build_pytorch_libs.py
+@@ -4,7 +4,6 @@ import subprocess
+ import platform
+ import subprocess
+ 
+-from .optional_submodules import checkout_nccl
+ from .setup_helpers.cmake import CMake, USE_NINJA
+ from .setup_helpers.env import (
+     check_env_flag,
+@@ -87,13 +86,6 @@ def build_pytorch(
+     cmake: CMake,
+ ) -> None:
+     my_env = _create_build_env()
+-    if (
+-        not check_negative_env_flag("USE_DISTRIBUTED")
+-        and not check_negative_env_flag("USE_CUDA")
+-        and not check_negative_env_flag("USE_NCCL")
+-        and not check_env_flag("USE_SYSTEM_NCCL")
+-    ):
+-        checkout_nccl()
+     build_test = not check_negative_env_flag("BUILD_TEST")
+     cmake.generate(
+         version, cmake_python_library, build_python, build_test, my_env, rerun_cmake
diff --git a/py-torch/patches/patch-tools_optional__submodules.py b/py-torch/patches/patch-tools_optional__submodules.py
new file mode 100644
index 0000000000..3522bbd1a9
--- /dev/null
+++ b/py-torch/patches/patch-tools_optional__submodules.py
@@ -0,0 +1,79 @@
+$NetBSD$
+
+--- tools/optional_submodules.py.orig	2026-07-03 17:16:58.978809222 +0000
++++ tools/optional_submodules.py
+@@ -1,72 +1,7 @@
+-import os
+-from pathlib import Path
+-from subprocess import check_call
++import sys
+ 
+ 
+-repo_root = Path(__file__).absolute().parent.parent
+-third_party_path = repo_root / "third_party"
+-
+-
+-def _read_file(path: Path) -> str:
+-    with path.open(encoding="utf-8") as f:
+-        return f.read().strip()
+-
+-
+-def _checkout_by_tag(repo: str, tag: str) -> None:
+-    check_call(
+-        [
+-            "git",
+-            "clone",
+-            "--depth",
+-            "1",
+-            "--branch",
+-            tag,
+-            repo,
+-        ],
+-        cwd=third_party_path,
+-    )
+-
+-
+-def read_nccl_pin(cuda_version: str = "") -> str:
+-    # Default NCCL version
+-    nccl_file = "nccl.txt"
+-
+-    # If NCCL version diverges for different CUDA versions, uncomment the
+-    # following block and add the appropriate file (using CUDA 11 as an example)
+-
+-    # 12.6 builds for sm50, needs a lower version
+-    if not cuda_version:
+-        cuda_version = os.getenv("DESIRED_CUDA", os.getenv("CUDA_VERSION", ""))
+-    if cuda_version.startswith("12.6") or cuda_version == "cu126":
+-        nccl_file = "nccl-cu126.txt"
+-
+-    nccl_pin_path = repo_root / ".ci" / "docker" / "ci_commit_pins" / nccl_file
+-    return _read_file(nccl_pin_path)
+-
+-
+-def checkout_nccl() -> None:
+-    release_tag = read_nccl_pin()
+-    print(f"-- Checkout nccl release tag: {release_tag}")
+-    nccl_basedir = third_party_path / "nccl"
+-    if not nccl_basedir.exists():
+-        _checkout_by_tag("https://github.com/NVIDIA/nccl";, release_tag)
+-
+-
+-def checkout_eigen() -> None:
+-    eigen_tag = _read_file(third_party_path / "eigen_pin.txt")
+-    print(f"-- Checkout Eigen release tag: {eigen_tag}")
+-    eigen_basedir = third_party_path / "eigen"
+-    if not eigen_basedir.exists():
+-        _checkout_by_tag("https://gitlab.com/libeigen/eigen";, eigen_tag)
+-
+-
+ if __name__ == "__main__":
+     import sys
+ 
+-    if len(sys.argv) == 1:
+-        # If no arguments are given checkout all optional dependency
+-        checkout_nccl()
+-        checkout_eigen()
+-    else:
+-        # Otherwise just call top-level function of choice
+-        globals()[sys.argv[1]]()
++    globals()[sys.argv[1]]()
diff --git a/py-torch/patches/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp b/py-torch/patches/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
new file mode 100644
index 0000000000..67bf9e21b5
--- /dev/null
+++ b/py-torch/patches/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
@@ -0,0 +1,27 @@
+$NetBSD: patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp,v 1.3 2025/09/27 01:19:55 ryoon Exp $
+
+* Support NetBSD.
+
+--- torch/csrc/distributed/c10d/ProcessGroupGloo.cpp.orig	2026-06-18 00:45:19.000000000 +0000
++++ torch/csrc/distributed/c10d/ProcessGroupGloo.cpp
+@@ -20,7 +20,11 @@
+ #include <netdb.h>
+ #include <sys/socket.h>
+ #include <unistd.h>
++#if !defined(HOST_NAME_MAX)
++#include <limits.h>
++#define HOST_NAME_MAX _POSIX_HOST_NAME_MAX
+ #endif
++#endif
+ 
+ #include <utility>
+ 
+@@ -501,7 +505,7 @@ std::shared_ptr<::gloo::transport::Device> ProcessGrou
+   return ::c10d::GlooDeviceFactory::makeDeviceForHostname(hostname, lazyInit);
+ }
+ 
+-#if defined(__linux__) || defined(_WIN32)
++#if defined(__linux__) || defined(_WIN32) || defined(__NetBSD__)
+ std::shared_ptr<::gloo::transport::Device> ProcessGroupGloo::
+     createDefaultDevice(bool lazyInit) {
+   // Use the hostname to resolve the network address to
diff --git a/py-torch/patches/patch-torch_csrc_distributed_c10d_socket.cpp b/py-torch/patches/patch-torch_csrc_distributed_c10d_socket.cpp
new file mode 100644
index 0000000000..2dea7a2cbf
--- /dev/null
+++ b/py-torch/patches/patch-torch_csrc_distributed_c10d_socket.cpp
@@ -0,0 +1,20 @@
+$NetBSD: patch-torch_csrc_distributed_c10d_socket.cpp,v 1.1 2025/01/23 14:31:16 ryoon Exp $
+
+* NetBSD has no AI_V4MAPPED and AI_ALL.
+
+--- torch/csrc/distributed/c10d/socket.cpp.orig	2025-01-21 16:40:38.577733771 +0000
++++ torch/csrc/distributed/c10d/socket.cpp
+@@ -809,6 +809,13 @@ std::unique_ptr<SocketImpl> SocketConnec
+       SocketError, fmt::format("{} {}", msg, fmt::join(errors_, " ")));
+ }
+ 
++#if !defined(AI_V4MAPPED)
++#define AI_V4MAPPED 0x00000000
++#endif
++#if !defined(AI_ALL)
++#define AI_ALL 0x00000000
++#endif
++
+ bool SocketConnectOp::tryConnect(int family) {
+   ::addrinfo hints{};
+   hints.ai_flags = AI_V4MAPPED | AI_ALL | AI_NUMERICSERV;
diff --git a/py-torch/patches/patch-torch_csrc_utils_byte__order.h b/py-torch/patches/patch-torch_csrc_utils_byte__order.h
new file mode 100644
index 0000000000..dd43e315f5
--- /dev/null
+++ b/py-torch/patches/patch-torch_csrc_utils_byte__order.h
@@ -0,0 +1,19 @@
+$NetBSD: patch-torch_csrc_utils_byte__order.h,v 1.1 2025/01/21 13:36:49 ryoon Exp $
+
+* Support NetBSD.
+
+--- torch/csrc/utils/byte_order.h.orig	2025-01-17 11:52:24.707676599 +0000
++++ torch/csrc/utils/byte_order.h
+@@ -16,6 +16,12 @@
+ #define thp_bswap16(x) bswap16(x)
+ #define thp_bswap32(x) bswap32(x)
+ #define thp_bswap64(x) bswap64(x)
++#elif defined(__NetBSD__)
++#include <sys/types.h>
++#include <machine/bswap.h>
++#define thp_bswap16(x) bswap16(x)
++#define thp_bswap32(x) bswap32(x)
++#define thp_bswap64(x) bswap64(x)
+ #elif defined(__APPLE__)
+ #include <libkern/OSByteOrder.h>
+ #define thp_bswap16(x) OSSwapInt16(x)
diff --git a/py-torch/patches/patch-torch_headeronly_macros_Macros.h b/py-torch/patches/patch-torch_headeronly_macros_Macros.h
new file mode 100644
index 0000000000..d9a9557e3b
--- /dev/null
+++ b/py-torch/patches/patch-torch_headeronly_macros_Macros.h
@@ -0,0 +1,15 @@
+$NetBSD$
+
+Avoid undefined reference of __assert_fail().
+
+--- torch/headeronly/macros/Macros.h.orig	2026-07-02 20:56:17.538514982 +0000
++++ torch/headeronly/macros/Macros.h
+@@ -415,7 +415,7 @@ static inline int C10_WARP_SIZE_INTERNAL() {
+ // CUDA_KERNEL_ASSERT checks the assertion
+ // even when NDEBUG is defined. This is useful for important assertions in CUDA
+ // code that would otherwise be suppressed when building Release.
+-#if defined(__ANDROID__) || defined(__APPLE__) || defined(__FreeBSD__)
++#if defined(__ANDROID__) || defined(__APPLE__) || defined(__FreeBSD__) || defined(__NetBSD__)
+ // Those platforms do not support assert()
+ #define CUDA_KERNEL_ASSERT(cond)
+ #define CUDA_KERNEL_ASSERT_MSG(cond, msg)


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