diff --git a/misc/py-pytorch/Makefile b/misc/py-pytorch/Makefile
index 79784241e790..0a8ea89d294c 100644
--- a/misc/py-pytorch/Makefile
+++ b/misc/py-pytorch/Makefile
@@ -1,133 +1,132 @@
 PORTNAME=	pytorch
 DISTVERSIONPREFIX=	v
-DISTVERSION=	2.10.0
-PORTREVISION=	4
+DISTVERSION=	2.11.0
 CATEGORIES=	misc # machine-learning
 MASTER_SITES=	https://github.com/pytorch/pytorch/releases/download/v${DISTVERSION}/
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 DISTFILES=	${PORTNAME}-${DISTVERSIONFULL}${EXTRACT_SUFX} # the main tarball disappears when GH_xx tags are added w/out this line
 DIST_SUBDIR=	${PORTNAME}
 
 MAINTAINER=	yuri@FreeBSD.org
 COMMENT=	PyTorch: Tensors and dynamic neural networks in Python
 WWW=		https://pytorch.org/ \
 		https://github.com/pytorch/pytorch
 
 LICENSE=	BSD3CLAUSE
 LICENSE_FILE=	${WRKSRC}/LICENSE
 
 BROKEN_aarch64=	build fails: CMake Error at third_party/QNNPACK/CMakeLists.txt:47 (MESSAGE): Unrecognized CMAKE_SYSTEM_NAME = FreeBSD, see https://github.com/pytorch/pytorch/issues/144608
 BROKEN_armv7=	build fails: CMake Error at third_party/QNNPACK/CMakeLists.txt:47 (MESSAGE): Unrecognized CMAKE_SYSTEM_NAME = FreeBSD, see https://github.com/pytorch/pytorch/issues/144608
 BROKEN_i386=	build fails: DispatchStub.cpp:162:29: [0m[0;1;31merror: [0m[1muse of undeclared identifier 'AVX2'[0m
 
 BUILD_DEPENDS=	${PY_SETUPTOOLS} \
 		cmake:devel/cmake-core \
 		gmake:devel/gmake \
 		pybind11>0:devel/pybind11 \
 		${PYTHON_PKGNAMEPREFIX}numpy1>=1.16:math/py-numpy1@${PY_FLAVOR} \
 		${LOCALBASE}/include/fxdiv.h:devel/fxdiv \
 		${PYTHON_PKGNAMEPREFIX}filelock>0:sysutils/py-filelock@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}fsspec>0:filesystems/py-fsspec@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}hypothesis>0:devel/py-hypothesis@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}Jinja2>0:devel/py-Jinja2@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}optree>0:devel/py-optree@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}psutil>0:sysutils/py-psutil@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}requests>0:www/py-requests@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}sympy>=1.13.3:math/py-sympy@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}typing-extensions>0:devel/py-typing-extensions@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
 LIB_DEPENDS=	libabsl_base.so:devel/abseil \
 		libblis.so:math/blis \
 		libonnx.so:misc/onnx \
 		libopenblas.so:math/openblas \
 		libpthreadpool.so:devel/pthreadpool \
 		libprotobuf.so:devel/protobuf \
 		libsleef.so:math/sleef
 RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}filelock>0:sysutils/py-filelock@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}fsspec>0:filesystems/py-fsspec@${PY_FLAVOR}  \
 		${PYTHON_PKGNAMEPREFIX}Jinja2>0:devel/py-Jinja2@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}networkx>0:math/py-networkx@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}numpy1>=1.16:math/py-numpy1@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}sympy>=1.13.3:math/py-sympy@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.10.0:devel/py-typing-extensions@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR}
 RUN_DEPENDS+=	${PYTHON_PKGNAMEPREFIX}astunparse>0:devel/py-astunparse@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}dill>0:devel/py-dill@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}protobuf>0:devel/py-protobuf@${PY_FLAVOR} # optional dependencies
 
 USES=		compiler:c++17-lang localbase:ldflags mpi:openmpi python
 USE_PYTHON=	pep517 autoplist
 USE_LDCONFIG=	${PYTHON_SITELIBDIR}/torch/lib
 
 # The Python package is named "torch" not "pytorch"
 PYDISTUTILS_PKGNAME=	torch
 PEP517_INSTALL_CMD=	${PYTHON_CMD} -m installer --destdir ${STAGEDIR} --prefix ${PREFIX} ${BUILD_WRKSRC}/dist/torch-${DISTVERSION}*.whl
 
 USE_GITHUB=	nodefault
-GH_TUPLE=	pytorch:cpuinfo:1e83a2f:cpuinfo/cpuinfo-with-freebsd-support # https://github.com/pytorch/cpuinfo/pull/230/commits
+GH_TUPLE=	pytorch:cpuinfo:bc3c01e:cpuinfo/cpuinfo-with-freebsd-support # https://github.com/pytorch/cpuinfo/pull/230/commits
 
 MAKE_ENV=	USE_NINJA=no # ninja breaks for some reason
 MAKE_ENV+=	BUILD_TEST=0 # ninja breaks for some reason
 MAKE_ENV+=	USE_MKLDNN=0 # disable MKLDNN that doesn't exist, see https://github.com/pytorch/pytorch/issues/100957
 MAKE_ENV+=	USE_CUDNN=0
 MAKE_ENV+=	USE_LAPACK=1 # needed on FreeBSD to run w/out GPU
 MAKE_ENV+=	USE_QNNPACK=0
 MAKE_ENV+=	USE_DISTRIBUTED=1
 LDFLAGS+=	-lexecinfo
 LDFLAGS_powerpc64le=	-pthread
 
 BINARY_ALIAS=	make=${GMAKE}
 
 POST_PLIST=	fix-plist
 
 TEST_ENV=	${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
 TEST_WRKSRC=	${WRKSRC}/test
 
 OPTIONS_DEFINE=		VULKAN
 OPTIONS_DEFAULT=	VULKAN # VULKAN is experimental in PyTorch and only simple computations work
 
 VULKAN_MAKE_ENV=	USE_VULKAN=1 USE_VULKAN_SHADERC_RUNTIME=1 USE_VULKAN_WRAPPER=0 # see https://docs.pytorch.org/tutorials/unstable/vulkan_workflow.html
 VULKAN_BUILD_DEPENDS=	glslc:graphics/shaderc \
 			vulkan-headers>0:graphics/vulkan-headers
 VULKAN_LIB_DEPENDS=	libvulkan.so:graphics/vulkan-loader
 
 .include <bsd.port.options.mk>
 
 post-patch:
 	@cd ${WRKSRC} && \
 		${RM} -r third_party/cpuinfo third_party/fbgemm/external/cpuinfo && \
 		${CP} -r cpuinfo-with-freebsd-support third_party/cpuinfo && \
 		${CP} -r cpuinfo-with-freebsd-support third_party/fbgemm/external/cpuinfo
 	# change hardcoded compiler in torch/_inductor/config.py
 	@${REINPLACE_CMD} -e 's|"g++"|"${CXX}"|' \
 		${WRKSRC}/torch/_inductor/config.py
 
 do-install: # port should be moved to 'torch', but keep this for now with the hardcoded 'torch' name
 	@${MKDIR} ${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
 	@cd ${INSTALL_WRKSRC} && ${SETENVI} ${WRK_ENV} ${MAKE_ENV} ${PEP517_INSTALL_CMD}
 	@${PYTHON_CMD} -B ${PORTSDIR}/Mk/Scripts/strip_RECORD.py \
 		${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}/torch-${DISTVERSION}*.dist-info/RECORD >> ${_PYTHONPKGLIST}
 	@${REINPLACE_CMD} \
 		-e '/\.pyc$$/d' \
 		-e 's|^|${PYTHONPREFIX_SITELIBDIR}/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../etc/|etc/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../bin/|bin/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../include/|include/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../lib/|lib/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../libdata/|libdata/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../libexec/|libexec/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../man/|man/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../sbin/|sbin/|' \
 		-e 's|^${PYTHONPREFIX_SITELIBDIR}/../../../share/|share/|' \
 			${_PYTHONPKGLIST}
 	@cd ${STAGEDIR}${PREFIX} && ${FIND} lib -name '*.pyc' >> ${_PYTHONPKGLIST}
 
 fix-plist: # remove the stray %%PYTHON_SITELIBDIR%%/caffe2 file
 	@${REINPLACE_CMD} -e "s|.*/caffe2$$||" ${TMPPLIST}
 
 do-test:
-	cd ${TEST_WRKSRC} && ${SETENV} ${TEST_ENV} ${PYTHON_CMD} run_test.py
+	@cd ${TEST_WRKSRC} && ${SETENV} ${TEST_ENV} ${PYTHON_CMD} run_test.py
 
 .include <bsd.port.mk>
diff --git a/misc/py-pytorch/distinfo b/misc/py-pytorch/distinfo
index 3a750c8759a0..ce70ed2d40ad 100644
--- a/misc/py-pytorch/distinfo
+++ b/misc/py-pytorch/distinfo
@@ -1,5 +1,5 @@
-TIMESTAMP = 1769236907
-SHA256 (pytorch/pytorch-v2.10.0.tar.gz) = fa8ccbe87f83f48735505371c1c313b4aa6db400b0ae4f8a02844d1e150c695f
-SIZE (pytorch/pytorch-v2.10.0.tar.gz) = 372567293
-SHA256 (pytorch/pytorch-cpuinfo-1e83a2f_GH0.tar.gz) = b8945cf45d4f13054d7f52e8bd9314690ea840d4d0ff21febd95ff04de3c613e
-SIZE (pytorch/pytorch-cpuinfo-1e83a2f_GH0.tar.gz) = 3541839
+TIMESTAMP = 1776459266
+SHA256 (pytorch/pytorch-v2.11.0.tar.gz) = ab3fde9e7e382f45ac942be6ea2c2ef362c5ccd6f55ed6d5f35e6ea81d3ab88e
+SIZE (pytorch/pytorch-v2.11.0.tar.gz) = 421160531
+SHA256 (pytorch/pytorch-cpuinfo-bc3c01e_GH0.tar.gz) = 09459e830a588fee730feb19d8a32fedf2d36d48db7bd9b18c3159c7e74ea0ce
+SIZE (pytorch/pytorch-cpuinfo-bc3c01e_GH0.tar.gz) = 3547453
diff --git a/misc/py-pytorch/files/patch-CMakeLists.txt b/misc/py-pytorch/files/patch-CMakeLists.txt
index 4493ea8e5155..42c8f2d0d781 100644
--- a/misc/py-pytorch/files/patch-CMakeLists.txt
+++ b/misc/py-pytorch/files/patch-CMakeLists.txt
@@ -1,48 +1,48 @@
---- CMakeLists.txt.orig	2026-01-21 17:08:59 UTC
+--- CMakeLists.txt.orig	2026-03-23 18:40:42 UTC
 +++ CMakeLists.txt
 @@ -173,7 +173,7 @@ set(CPU_RISCV OFF)
  set(CPU_POWER OFF)
  set(CPU_RISCV OFF)
  
 -if(CMAKE_SYSTEM_PROCESSOR MATCHES "(AMD64|x86_64)")
 +if(CMAKE_SYSTEM_PROCESSOR MATCHES "(amd64|x86_64)")
    set(CPU_INTEL ON)
  elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(aarch64|arm64)")
    set(CPU_AARCH64 ON)
 @@ -205,7 +205,7 @@ option(BUILD_CUSTOM_PROTOBUF
  option(ATEN_NO_TEST "Do not build ATen test binaries" OFF)
  option(BUILD_BINARY "Build C++ binaries" OFF)
  option(BUILD_CUSTOM_PROTOBUF
 -       "Build and use Caffe2's own protobuf under third_party" ON)
 +	"Build and use Caffe2's own protobuf under third_party" OFF)
  option(BUILD_PYTHON "Build Python binaries" ON)
  option(BUILD_LITE_INTERPRETER "Master flag to build Lite Interpreter" OFF)
  option(BUILD_SHARED_LIBS "Build libcaffe2.so" ON)
 @@ -268,7 +268,7 @@ option(USE_GLOG "Use GLOG" OFF)
  option(USE_CUPTI_SO "Use CUPTI as a shared library" ON)
  option(USE_GFLAGS "Use GFLAGS" OFF)
  option(USE_GLOG "Use GLOG" OFF)
 -option(USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
 +option(USE_LITE_PROTO "Use lite protobuf instead of full." ON)
  option(USE_MAGMA "Use MAGMA" ON)
  option(USE_PYTORCH_METAL "Use Metal for PyTorch iOS build" OFF)
  option(USE_PYTORCH_METAL_EXPORT "Export Metal models on MacOSX desktop" OFF)
-@@ -476,15 +476,15 @@ option(USE_SYSTEM_CPUINFO "Use system-provided cpuinfo
+@@ -481,15 +481,15 @@ option(USE_SYSTEM_CPUINFO "Use system-provided cpuinfo
  # USE_SYSTEM_LIBS being "OFF".
  option(USE_SYSTEM_LIBS "Use all available system-provided libraries." OFF)
  option(USE_SYSTEM_CPUINFO "Use system-provided cpuinfo." OFF)
 -option(USE_SYSTEM_SLEEF "Use system-provided sleef." OFF)
 +option(USE_SYSTEM_SLEEF "Use system-provided sleef." ON)
  option(USE_SYSTEM_GLOO "Use system-provided gloo." OFF)
  option(USE_SYSTEM_FP16 "Use system-provided fp16." OFF)
 -option(USE_SYSTEM_PYBIND11 "Use system-provided PyBind11." OFF)
 +option(USE_SYSTEM_PYBIND11 "Use system-provided PyBind11." ON)
  option(USE_SYSTEM_PTHREADPOOL "Use system-provided pthreadpool." OFF)
  option(USE_SYSTEM_PSIMD "Use system-provided psimd." OFF)
  option(USE_SYSTEM_FXDIV "Use system-provided fxdiv." OFF)
  option(USE_SYSTEM_BENCHMARK "Use system-provided google benchmark." OFF)
 -option(USE_SYSTEM_ONNX "Use system-provided onnx." OFF)
 +option(USE_SYSTEM_ONNX "Use system-provided onnx." ON)
  option(USE_SYSTEM_XNNPACK "Use system-provided xnnpack." OFF)
  option(USE_SYSTEM_NVTX "Use system-provided nvtx." OFF)
  option(USE_GOLD_LINKER "Use ld.gold to link" OFF)
diff --git a/misc/py-pytorch/files/patch-aten_src_ATen_native_vulkan_ops_Clamp.cpp b/misc/py-pytorch/files/patch-aten_src_ATen_native_vulkan_ops_Clamp.cpp
new file mode 100644
index 000000000000..3e1ef08cca8a
--- /dev/null
+++ b/misc/py-pytorch/files/patch-aten_src_ATen_native_vulkan_ops_Clamp.cpp
@@ -0,0 +1,11 @@
+--- aten/src/ATen/native/vulkan/ops/Clamp.cpp.orig	2026-04-17 23:38:43 UTC
++++ aten/src/ATen/native/vulkan/ops/Clamp.cpp
+@@ -601,7 +601,7 @@ TORCH_LIBRARY_IMPL(aten, Vulkan, m) {
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardsigmoid"), hardsigmoid);
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardsigmoid_"), hardsigmoid_);
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardshrink"), hardshrink);
+-  m.impl(TORCH_SELECTIVE_NAME("aten::hardshrink_"), hardshrink_);
++  // aten::hardshrink_ has no schema in native_functions.yaml
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardswish"), hardswish);
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardswish_"), hardswish_);
+   m.impl(TORCH_SELECTIVE_NAME("aten::hardtanh"), hardtanh);
diff --git a/misc/py-pytorch/files/patch-c10_core_DynamicCast.h b/misc/py-pytorch/files/patch-c10_core_DynamicCast.h
index f3f9af294a30..a39f3dc08dcd 100644
--- a/misc/py-pytorch/files/patch-c10_core_DynamicCast.h
+++ b/misc/py-pytorch/files/patch-c10_core_DynamicCast.h
@@ -1,31 +1,31 @@
 - workaround for the failuree diring math/dgl build:
 - /usr/local/lib/python3.9/site-packages/torch/include/c10/core/DynamicCast.h:112:22: error: use of undeclared identifier '__assert_fail'
 - see https://github.com/pytorch/pytorch/issues/113941
 
---- c10/core/DynamicCast.h.orig	2024-07-24 18:41:35 UTC
+--- c10/core/DynamicCast.h.orig	2026-03-23 18:40:42 UTC
 +++ c10/core/DynamicCast.h
 @@ -54,7 +54,7 @@ namespace c10 {
  //
  
  #ifdef C10_HOST_DEVICE
 -#define ERROR_UNSUPPORTED_CAST CUDA_KERNEL_ASSERT(false);
 +#define ERROR_UNSUPPORTED_CAST assert(false);
  #else
  #define ERROR_UNSUPPORTED_CAST TORCH_CHECK(false, "Unexpected scalar type");
  #endif
-@@ -105,13 +105,13 @@ C10_HOST_DEVICE inline void cast_and_store(
+@@ -109,13 +109,13 @@ C10_HOST_DEVICE inline void cast_and_store(
    template <>                                                 \
    C10_HOST_DEVICE inline T fetch_and_cast<T>(                 \
        const ScalarType src_type, const void* ptr) {           \
 -    CUDA_KERNEL_ASSERT(ScalarType::scalartype_ == src_type);  \
 +    assert(ScalarType::scalartype_ == src_type);  \
      return c10::load<T>(ptr);                                 \
    }                                                           \
    template <>                                                 \
    C10_HOST_DEVICE inline void cast_and_store<T>(              \
        const ScalarType dest_type, void* ptr, T value) {       \
 -    CUDA_KERNEL_ASSERT(ScalarType::scalartype_ == dest_type); \
 +    assert(ScalarType::scalartype_ == dest_type); \
      *(T*)ptr = value;                                         \
    }
  
diff --git a/misc/py-pytorch/files/patch-cmake_Dependencies.cmake b/misc/py-pytorch/files/patch-cmake_Dependencies.cmake
index d97ba9f5940e..0366113842b8 100644
--- a/misc/py-pytorch/files/patch-cmake_Dependencies.cmake
+++ b/misc/py-pytorch/files/patch-cmake_Dependencies.cmake
@@ -1,11 +1,11 @@
---- cmake/Dependencies.cmake.orig	2024-07-24 18:41:35 UTC
+--- cmake/Dependencies.cmake.orig	2026-03-23 18:40:42 UTC
 +++ cmake/Dependencies.cmake
-@@ -304,7 +304,7 @@ if(USE_NNPACK OR USE_PYTORCH_QNNPACK OR USE_XNNPACK)
+@@ -348,7 +348,7 @@ if(USE_NNPACK OR USE_PYTORCH_QNNPACK OR USE_XNNPACK)
        set(DISABLE_NNPACK_AND_FAMILY ON)
      endif()
    else()
 -    if(NOT IOS AND NOT (CMAKE_SYSTEM_NAME MATCHES "^(Android|Linux|Darwin|Windows)$"))
 +    if(NOT IOS AND NOT (CMAKE_SYSTEM_NAME MATCHES "^(Android|Linux|FreeBSD|Darwin|Windows)$"))
        message(WARNING
          "Target platform \"${CMAKE_SYSTEM_NAME}\" is not supported in {Q/X}NNPACK. "
          "Supported platforms are Android, iOS, Linux, and macOS. "
diff --git a/misc/py-pytorch/files/patch-pyproject.toml b/misc/py-pytorch/files/patch-pyproject.toml
index b22842375119..43b400577cf1 100644
--- a/misc/py-pytorch/files/patch-pyproject.toml
+++ b/misc/py-pytorch/files/patch-pyproject.toml
@@ -1,32 +1,31 @@
---- pyproject.toml.orig	2026-01-24 08:31:03 UTC
+--- pyproject.toml.orig	2026-03-23 18:40:42 UTC
 +++ pyproject.toml
-@@ -4,9 +4,11 @@ requires = [
+@@ -4,9 +4,10 @@ requires = [
  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",
+-    "setuptools>=70.1.0,<82",
 -    "cmake>=3.27",
 -    "ninja",
 +    # FreeBSD: patched to work with setuptools-63.1.0
 +    "setuptools>=63.1.0",
-+    # FreeBSD: cmake and ninja are provided as BUILD_DEPENDS
-+    # "cmake>=3.27",
-+    # "ninja",
++    #"cmake>=3.27",
++    #"ninja",
      "numpy",
      "packaging",
      "pyyaml",
-@@ -22,9 +24,11 @@ dev = [
+@@ -22,9 +23,11 @@ dev = [
      # in PyTorch root until the project fully migrates to pyproject.toml
      # after which this can be removed as it is already specified in the
      # [build-system] section
 -    "setuptools>=70.1.0,<80.0",  # setuptools develop deprecated on 80.0
 -    "cmake>=3.27",
 -    "ninja",
 +    # FreeBSD: patched to work with setuptools-63.1.0
 +    "setuptools>=63.1.0,<80.0",  # setuptools develop deprecated on 80.0
 +    # FreeBSD: cmake and ninja are provided as BUILD_DEPENDS
 +    # "cmake>=3.27",
 +    # "ninja",
      "numpy",
      "packaging",
      "pyyaml",
diff --git a/misc/py-pytorch/files/patch-requirements-build.txt b/misc/py-pytorch/files/patch-requirements-build.txt
index 580e6e40d6af..7fcb95756d47 100644
--- a/misc/py-pytorch/files/patch-requirements-build.txt
+++ b/misc/py-pytorch/files/patch-requirements-build.txt
@@ -1,15 +1,15 @@
---- requirements-build.txt.orig	2026-01-24 08:31:03 UTC
+--- requirements-build.txt.orig	2026-03-23 18:40:42 UTC
 +++ requirements-build.txt
 @@ -1,7 +1,9 @@
  # Build System requirements
--setuptools>=70.1.0
+-setuptools>=70.1.0,<82
 -cmake>=3.27
 -ninja
 +# FreeBSD: patched to work with setuptools-63.1.0
 +setuptools>=63.1.0
 +# FreeBSD: cmake and ninja are provided as BUILD_DEPENDS
-+# cmake>=3.27
-+# ninja
++#cmake>=3.27
++#ninja
  numpy
  packaging
  pyyaml
diff --git a/misc/py-pytorch/files/patch-setup.py b/misc/py-pytorch/files/patch-setup.py
index 47ad8e6a118b..b4e96e80818d 100644
--- a/misc/py-pytorch/files/patch-setup.py
+++ b/misc/py-pytorch/files/patch-setup.py
@@ -1,83 +1,84 @@
---- setup.py.orig	2026-01-24 08:17:11 UTC
+--- setup.py.orig	2026-03-23 18:40:42 UTC
 +++ setup.py
 @@ -286,7 +286,7 @@ from typing import Any, ClassVar, IO
  from pathlib import Path
  from typing import Any, ClassVar, IO
  
 -import setuptools.command.bdist_wheel
 +# import setuptools.command.bdist_wheel
  import setuptools.command.build_ext
  import setuptools.command.sdist
  import setuptools.errors
-@@ -1429,29 +1429,37 @@ class concat_license_files:
+@@ -1435,30 +1435,37 @@ class concat_license_files:
          self.f1.write_text(self.bsd_text, encoding="utf-8")
  
  
 -# Need to create the proper LICENSE.txt for the wheel
 -class bdist_wheel(setuptools.command.bdist_wheel.bdist_wheel):
 -    def run(self) -> None:
 -        with concat_license_files(include_files=True):
 -            super().run()
 +try:
 +    from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
 +except ImportError:
 +    # This is useful when wheel is not installed and bdist_wheel is not
 +    # specified on the command line. If it _is_ specified, parsing the command
 +    # line will fail before bdist_wheel is needed
 +    bdist_wheel = None
 +else:
 +    # Need to create the proper LICENSE.txt for the wheel
 +    class bdist_wheel(_bdist_wheel):
 +        def run(self) -> None:
 +            with concat_license_files(include_files=True):
 +                super().run()
  
 -    def write_wheelfile(self, *args: Any, **kwargs: Any) -> None:
 -        super().write_wheelfile(*args, **kwargs)
 +        def write_wheelfile(self, *args: Any, **kwargs: Any) -> None:
 +            super().write_wheelfile(*args, **kwargs)
  
 -        if BUILD_LIBTORCH_WHL:
--            assert self.bdist_dir is not None
+-            if self.bdist_dir is None:
+-                raise AssertionError("self.bdist_dir must not be None")
 -            bdist_dir = Path(self.bdist_dir)
 -            # Remove extraneneous files in the libtorch wheel
 -            for file in itertools.chain(
 -                bdist_dir.rglob("*.a"),
 -                bdist_dir.rglob("*.so"),
 -            ):
 -                if (bdist_dir / file.name).is_file():
 +            if BUILD_LIBTORCH_WHL:
 +                assert self.bdist_dir is not None
 +                bdist_dir = Path(self.bdist_dir)
 +                # Remove extraneneous files in the libtorch wheel
 +                for file in itertools.chain(
 +                    bdist_dir.rglob("*.a"),
 +                    bdist_dir.rglob("*.so"),
 +                ):
 +                    if (bdist_dir / file.name).is_file():
 +                        file.unlink()
 +                for file in bdist_dir.rglob("*.py"):
                      file.unlink()
 -            for file in bdist_dir.rglob("*.py"):
 -                file.unlink()
 -            # need an __init__.py file otherwise we wouldn't have a package
 -            (bdist_dir / "torch" / "__init__.py").touch()
 +                # need an __init__.py file otherwise we wouldn't have a package
 +                (bdist_dir / "torch" / "__init__.py").touch()
  
  
  class clean(Command):
-@@ -1640,11 +1648,12 @@ def configure_extension_build() -> tuple[
+@@ -1647,11 +1654,12 @@ def configure_extension_build() -> tuple[
      ext_modules.append(C)
  
      cmdclass = {
 -        "bdist_wheel": bdist_wheel,
          "build_ext": build_ext,
          "clean": clean,
          "sdist": sdist,
      }
 +    if bdist_wheel is not None:
 +        cmdclass["bdist_wheel"] = bdist_wheel
  
      entry_points = {
          "console_scripts": [
diff --git a/misc/py-pytorch/files/patch-test_run__test.py b/misc/py-pytorch/files/patch-test_run__test.py
new file mode 100644
index 000000000000..4887f9c5e63e
--- /dev/null
+++ b/misc/py-pytorch/files/patch-test_run__test.py
@@ -0,0 +1,59 @@
+--- test/run_test.py.orig	2026-04-17 23:39:17 UTC
++++ test/run_test.py
+@@ -1244,21 +1244,10 @@ def get_pytest_args(options, is_cpp_test=False, is_dis
+ 
+ 
+ def get_pytest_args(options, is_cpp_test=False, is_distributed_test=False):
+-    if is_distributed_test:
+-        # Distributed tests do not support rerun, see https://github.com/pytorch/pytorch/issues/162978
+-        rerun_options = ["-x", "--reruns=0"]
+-    elif RERUN_DISABLED_TESTS:
+-        # ASAN tests are too slow, so running them x50 will cause the jobs to timeout after
+-        # 3+ hours. So, let's opt for less number of reruns. We need at least 150 instances of the
+-        # test every 2 weeks to satisfy the SQL query (15 x 14 = 210).
+-        count = 15 if TEST_WITH_ASAN else 50
+-        # When under rerun-disabled-tests mode, run the same tests multiple times to determine their
+-        # flakiness status. Default to 50 re-runs
+-        rerun_options = ["--flake-finder", f"--flake-runs={count}"]
++    if is_distributed_test or RERUN_DISABLED_TESTS:
++        rerun_options = ["-x"]
+     else:
+-        # When under the normal mode, retry a failed test 2 more times. -x means stop at the first
+-        # failure
+-        rerun_options = ["-x", "--reruns=2"]
++        rerun_options = ["-x"]
+ 
+     pytest_args = [
+         "-vv",
+@@ -1277,7 +1266,7 @@ def get_pytest_args(options, is_cpp_test=False, is_dis
+             # Add the option to generate XML test report here as C++ tests
+             # won't go into common_utils
+             test_report_path = get_report_path(pytest=True)
+-            pytest_args.extend(["--junit-xml-reruns", test_report_path])
++            pytest_args.extend(["--junit-xml", test_report_path])
+ 
+     if options.pytest_k_expr:
+         pytest_args.extend(["-k", options.pytest_k_expr])
+@@ -1812,6 +1801,13 @@ def get_selected_tests(options) -> list[str]:
+             "Skip distributed tests on s390x",
+         )
+ 
++    if sys.platform.startswith("freebsd"):
++        selected_tests = exclude_tests(
++            DISTRIBUTED_TESTS,
++            selected_tests,
++            "Skip distributed tests on FreeBSD (gloo unsupported)",
++        )
++
+     # skip all distributed tests if distributed package is not available.
+     if not dist.is_available():
+         selected_tests = exclude_tests(
+@@ -2100,8 +2096,6 @@ def main():
+ 
+ 
+ def main():
+-    check_pip_packages()
+-
+     options = parse_args()
+     tests_to_include_env = os.environ.get("TESTS_TO_INCLUDE", "").strip()
+     if tests_to_include_env:
diff --git a/misc/py-pytorch/files/patch-third__party_fmt_include_fmt_format.h b/misc/py-pytorch/files/patch-third__party_fmt_include_fmt_format.h
index 05f39aeb7558..28246dbb90da 100644
--- a/misc/py-pytorch/files/patch-third__party_fmt_include_fmt_format.h
+++ b/misc/py-pytorch/files/patch-third__party_fmt_include_fmt_format.h
@@ -1,10 +1,10 @@
---- third_party/fmt/include/fmt/format.h.orig	2025-08-06 17:08:03 UTC
+--- third_party/fmt/include/fmt/format.h.orig	2026-03-23 18:40:46 UTC
 +++ third_party/fmt/include/fmt/format.h
-@@ -44,6 +44,7 @@
+@@ -52,6 +52,7 @@
  #  include <cmath>    // std::signbit
  #  include <cstddef>  // std::byte
  #  include <cstdint>  // uint32_t
 +#  include <cstdlib>  // malloc/free
  #  include <cstring>  // std::memcpy
  #  include <limits>   // std::numeric_limits
  #  include <new>      // std::bad_alloc
diff --git a/misc/py-pytorch/files/patch-tools_build__pytorch__libs.py b/misc/py-pytorch/files/patch-tools_build__pytorch__libs.py
index 7a421c1bd8e3..26247f2b2442 100644
--- a/misc/py-pytorch/files/patch-tools_build__pytorch__libs.py
+++ b/misc/py-pytorch/files/patch-tools_build__pytorch__libs.py
@@ -1,12 +1,12 @@
---- tools/build_pytorch_libs.py.orig	2025-08-06 17:08:06 UTC
+--- tools/build_pytorch_libs.py.orig	2026-03-23 18:40:49 UTC
 +++ tools/build_pytorch_libs.py
-@@ -91,7 +91,8 @@ def build_pytorch(
+@@ -93,7 +93,8 @@ def build_pytorch(
          and not check_negative_env_flag("USE_NCCL")
          and not check_env_flag("USE_SYSTEM_NCCL")
      ):
 -        checkout_nccl()
 +        #checkout_nccl()
 +        pass
      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/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp b/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
index 88578933f045..f62711c019bb 100644
--- a/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
+++ b/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_ProcessGroupGloo.cpp
@@ -1,22 +1,22 @@
---- torch/csrc/distributed/c10d/ProcessGroupGloo.cpp.orig	2026-01-21 17:09:02 UTC
+--- torch/csrc/distributed/c10d/ProcessGroupGloo.cpp.orig	2026-03-23 18:40:49 UTC
 +++ torch/csrc/distributed/c10d/ProcessGroupGloo.cpp
-@@ -32,6 +32,10 @@
+@@ -33,6 +33,10 @@
  #include <gloo/rendezvous/context.h>
  #include <gloo/rendezvous/prefix_store.h>
  
 +#if defined(__FreeBSD__)
 +#define HOST_NAME_MAX 256
 +#endif
 +
  namespace c10d {
  
  namespace {
-@@ -488,7 +492,7 @@ std::shared_ptr<::gloo::transport::Device> ProcessGrou
+@@ -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(__FreeBSD__) || defined(_WIN32)
  std::shared_ptr<::gloo::transport::Device> ProcessGroupGloo::
      createDefaultDevice(bool lazyInit) {
    // Use the hostname to resolve the network address to
diff --git a/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_init.cpp b/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_init.cpp
new file mode 100644
index 000000000000..3e479bf2fb93
--- /dev/null
+++ b/misc/py-pytorch/files/patch-torch_csrc_distributed_c10d_init.cpp
@@ -0,0 +1,11 @@
+--- torch/csrc/distributed/c10d/init.cpp.orig	2026-04-17 22:57:32 UTC
++++ torch/csrc/distributed/c10d/init.cpp
+@@ -887,7 +887,7 @@ This class does not support ``__members__`` property.)
+             return ::c10d::ReduceOp(self);
+           })
+       .def(py::pickle(
+-          [](const ::c10d::ReduceOp& r) {
++          [](const ::c10d::ReduceOp& r) -> py::tuple {
+             // __getstate__
+             if (r.op_ != ::c10d::ReduceOp::RedOpType::PREMUL_SUM) {
+               return py::make_tuple(r.op_, py::none());
diff --git a/misc/py-pytorch/files/patch-torch_csrc_jit_python_init.cpp b/misc/py-pytorch/files/patch-torch_csrc_jit_python_init.cpp
new file mode 100644
index 000000000000..13a3e60871c8
--- /dev/null
+++ b/misc/py-pytorch/files/patch-torch_csrc_jit_python_init.cpp
@@ -0,0 +1,20 @@
+--- torch/csrc/jit/python/init.cpp.orig	2026-04-17 22:48:51 UTC
++++ torch/csrc/jit/python/init.cpp
+@@ -1796,7 +1796,7 @@ void initJITBindings(PyObject* module) {
+ 
+   m.def(
+       "_jit_get_operation",
+-      [](const std::string& op_name) {
++      [](const std::string& op_name) -> py::tuple {
+         try {
+           auto symbol = Symbol::fromQualString(op_name);
+           const auto sortedOps = getAllSortedOperatorsFor(symbol);
+@@ -1843,7 +1843,7 @@ void initJITBindings(PyObject* module) {
+       "_maybe_call_torch_function_for_op_packet",
+       [](py::handle op_overload_packet,
+          const py::args& args,
+-         const py::kwargs& kwargs) {
++         const py::kwargs& kwargs) -> py::tuple {
+         py::list ns_method =
+             op_overload_packet.attr("_qualified_op_name").attr("split")("::");
+         auto res = _maybe_handle_torch_function(
diff --git a/misc/py-pytorch/files/patch-torch_csrc_utils_python__arg__parser.cpp b/misc/py-pytorch/files/patch-torch_csrc_utils_python__arg__parser.cpp
new file mode 100644
index 000000000000..9ca1521de078
--- /dev/null
+++ b/misc/py-pytorch/files/patch-torch_csrc_utils_python__arg__parser.cpp
@@ -0,0 +1,17 @@
+--- torch/csrc/utils/python_arg_parser.cpp.orig	2026-04-17 22:45:38 UTC
++++ torch/csrc/utils/python_arg_parser.cpp
+@@ -755,9 +755,11 @@ auto handle_torch_function_indexing(
+   }
+   py::object func =
+       PyObject_FastGetAttrString(THPVariableClass, (char*)func_name);
+-  py::object args = (val == nullptr)
+-      ? py::make_tuple(py::handle(self), py::handle(index))
+-      : py::make_tuple(py::handle(self), py::handle(index), py::handle(val));
++  py::tuple args;
++  if (val == nullptr)
++    args = py::make_tuple(py::handle(self), py::handle(index));
++  else
++    args = py::make_tuple(py::handle(self), py::handle(index), py::handle(val));
+   return handle_torch_function_no_python_arg_parser(
+       overridable_args,
+       args.ptr(),
diff --git a/misc/py-pytorch/files/patch-torch_jit___trace.py b/misc/py-pytorch/files/patch-torch_jit___trace.py
new file mode 100644
index 000000000000..5415c1466564
--- /dev/null
+++ b/misc/py-pytorch/files/patch-torch_jit___trace.py
@@ -0,0 +1,16 @@
+--- torch/jit/_trace.py.orig	2026-04-18 00:49:58 UTC
++++ torch/jit/_trace.py
+@@ -445,8 +445,11 @@ def _check_trace(
+                     if n_mod.kindOf("value") != "t" or n_check.kindOf("value") != "t":
+                         continue
+ 
+-                    mod_tensor_val = n_mod.t("value")
+-                    check_tensor_val = n_check.t("value")
++                    try:
++                        mod_tensor_val = n_mod.t("value")
++                        check_tensor_val = n_check.t("value")
++                    except RuntimeError:
++                        continue
+ 
+                     try:
+                         torch.testing.assert_close(
diff --git a/misc/py-pytorch/pkg-descr b/misc/py-pytorch/pkg-descr
index 6378f7a68ec8..e92c7595f414 100644
--- a/misc/py-pytorch/pkg-descr
+++ b/misc/py-pytorch/pkg-descr
@@ -1,3 +1,10 @@
-PyTorch is a Python package that provides two high-level features:
+PyTorch is an open-source machine learning library for Python, based on the
+Torch library, used for applications such as natural language processing.
+It is primarily developed by Facebook's AI Research lab.
+
+PyTorch provides two high-level features:
 * Tensor computation (like NumPy) with strong GPU acceleration
 * Deep neural networks built on a tape-based autograd system
+
+It is a popular choice for deep learning research and production due to its
+flexibility and ease of use.