668 lines
17 KiB
RPMSpec
668 lines
17 KiB
RPMSpec
%global pypi_name torch
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# Where the src comes from
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%global forgeurl https://github.com/pytorch/pytorch
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# So pre releases can be tried
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%bcond_without gitcommit
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%if %{with gitcommit}
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# The top of tree ~2/28/24
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%global commit0 3cfed0122829540444911c271ce5480832ea3526
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%global shortcommit0 %(c=%{commit0}; echo ${c:0:7})
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%global pypi_version 2.3.0
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%else
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%global pypi_version 2.1.2
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%endif
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# For -test subpackage
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# suitable only for local testing
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# Install and do something like
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# export LD_LIBRARY_PATH=/usr/lib64/python3.12/site-packages/torch/lib
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# /usr/lib64/python3.12/site-packages/torch/bin/test_api, test_lazy
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%bcond_with test
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%ifarch x86_64
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%if 0%{?fedora}
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%bcond_without rocm
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%else
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%bcond_with rocm
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%endif
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%endif
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# hipblaslt is in development
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%bcond_with hipblaslt
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# Which families gpu build for
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%global rocm_gpu_list gfx8 gfx9 gfx10 gfx11
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%global rocm_default_gpu default
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%bcond_without rocm_loop
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# For testing openmp
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%bcond_without openmp
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%bcond_with foxi
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# For testing caffe2
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%if 0%{?fedora}
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# need foxi-devel
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%if %{with foxi}
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%bcond_without caffe2
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%else
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%bcond_with caffe2
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%endif
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%else
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%bcond_with caffe2
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%endif
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# For testing distributed
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%bcond_with distributed
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# For testing cuda
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%ifarch x86_64
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%bcond_with cuda
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%endif
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Name: python-%{pypi_name}
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Version: %{pypi_version}
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Release: %autorelease
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Summary: PyTorch AI/ML framework
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# See below for details
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License: BSD-3-Clause AND BSD-2-Clause AND 0BSD AND Apache-2.0 AND MIT AND BSL-1.0 AND GPL-3.0-or-later AND Zlib
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URL: https://pytorch.org/
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%if %{with gitcommit}
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Source0: %{forgeurl}/archive/%{commit0}/pytorch-%{shortcommit0}.tar.gz
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Source100: pyproject.toml
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%else
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Source0: %{forgeurl}/releases/download/v%{version}/pytorch-v%{version}.tar.gz
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%endif
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Source1: https://github.com/google/flatbuffers/archive/refs/tags/v23.3.3.tar.gz
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Source2: https://github.com/pybind/pybind11/archive/refs/tags/v2.11.1.tar.gz
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%if %{with cuda}
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Source10: https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v1.0.3.tar.gz
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Source11: https://github.com/NVIDIA/cutlass/archive/refs/tags/v3.3.0.tar.gz
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%endif
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%if %{with gitcommit}
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Patch0: 0001-no-third_party-foxi.patch
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Patch1: 0001-no-third_party-fmt.patch
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Patch2: 0001-no-third_party-FXdiv.patch
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Patch3: 0001-Stub-in-kineto-ActivityType.patch
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Patch5: 0001-disable-submodule-search.patch
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%if %{with caffe2}
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Patch6: 0001-reenable-foxi-linking.patch
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%endif
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%if %{with rocm}
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# https://github.com/pytorch/pytorch/pull/120551
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Patch100: 0001-Optionally-use-hipblaslt.patch
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Patch101: 0001-cuda-hip-signatures.patch
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Patch102: 0001-silence-an-assert.patch
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Patch103: 0001-can-not-use-with-c-files.patch
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Patch104: 0001-use-any-hip.patch
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%endif
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%else
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# Misc cmake changes that would be difficult to upstream
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# * Use the system fmt
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# * Remove foxi use
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# * Remove warnings/errors for clang 17
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# * fxdiv is not a library on Fedora
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Patch0: 0001-Prepare-pytorch-cmake-for-fedora.patch
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# https://github.com/pytorch/pytorch/pull/111048
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Patch2: 0003-Stub-in-kineto-ActivityType.patch
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# PyTorch has not fully baked 3.12 support because 3.12 is so new
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Patch3: 0004-torch-python-3.12-changes.patch
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# Short circuit looking for things that can not be downloade by mock
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Patch4: 0005-disable-submodule-search.patch
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# libtorch_python.so: undefined symbols: Py*
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Patch6: 0001-python-torch-link-with-python.patch
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# E: unused-direct-shlib-dependency libshm.so.2.1.0 libtorch.so.2.1
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# turn on as-needed globally
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Patch7: 0001-python-torch-remove-ubuntu-specific-linking.patch
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# Tries to use git and is confused by tarball
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Patch8: 0001-torch-sane-version.patch
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# libtorch is a wrapper so turn off as-needed locally
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# resolves this rpmlint
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# E: shared-library-without-dependency-information libtorch.so.2.1.0
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# causes these
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# E: unused-direct-shlib-dependency libtorch.so.2.1.0 libtorch_cpu.so.2.1
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# etc.
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# As a wrapper library, this should be the expected behavior.
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Patch9: 0001-disable-as-needed-for-libtorch.patch
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%endif
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# Limit to these because they are well behaved with clang
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ExclusiveArch: x86_64 aarch64
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%if 0%{?fedora}
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%global toolchain clang
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%else
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# RHEL does not do clang well, nor lto
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%global _lto_cflags %nil
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%endif
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BuildRequires: clang-devel
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BuildRequires: cmake
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BuildRequires: cpuinfo-devel
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BuildRequires: eigen3-devel
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BuildRequires: fmt-devel
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BuildRequires: FP16-devel
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BuildRequires: fxdiv-devel
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BuildRequires: gcc-c++
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BuildRequires: gcc-gfortran
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%if %{with distributed}
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BuildRequires: gloo-devel
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%endif
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BuildRequires: ninja-build
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BuildRequires: onnx-devel
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BuildRequires: openblas-devel
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BuildRequires: pocketfft-devel
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BuildRequires: protobuf-devel
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BuildRequires: pthreadpool-devel
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BuildRequires: psimd-devel
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BuildRequires: python3-numpy
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BuildRequires: python3-pyyaml
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BuildRequires: python3-typing-extensions
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BuildRequires: sleef-devel
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BuildRequires: valgrind-devel
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%if %{with gitcommit}
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BuildRequires: xnnpack-devel = 0.0^git20231127.d9cce34
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%else
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BuildRequires: xnnpack-devel = 0.0^git20221221.51a9875
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%endif
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BuildRequires: python3-devel
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BuildRequires: python3dist(filelock)
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BuildRequires: python3dist(jinja2)
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BuildRequires: python3dist(networkx)
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BuildRequires: python3dist(setuptools)
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BuildRequires: python3dist(typing-extensions)
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BuildRequires: python3dist(sphinx)
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%if 0%{?fedora}
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BuildRequires: python3-pybind11
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BuildRequires: python3dist(fsspec)
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BuildRequires: python3dist(sympy)
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%endif
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%if %{with openmp}
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BuildRequires: libomp-devel
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%endif
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%if %{with rocm}
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BuildRequires: compiler-rt
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BuildRequires: hipblas-devel
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%if %{with hipblaslt}
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BuildRequires: hipblaslt-devel
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%endif
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BuildRequires: hipcub-devel
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BuildRequires: hipfft-devel
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BuildRequires: hiprand-devel
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BuildRequires: hipsparse-devel
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BuildRequires: hipsolver-devel
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BuildRequires: lld
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BuildRequires: miopen-devel
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BuildRequires: rocblas-devel
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BuildRequires: rocrand-devel
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BuildRequires: rocfft-devel
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%if %{with distributed}
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BuildRequires: rccl-devel
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%endif
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BuildRequires: rocprim-devel
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BuildRequires: rocm-cmake
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BuildRequires: rocm-comgr-devel
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BuildRequires: rocm-core-devel
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BuildRequires: rocm-hip-devel
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BuildRequires: rocm-runtime-devel
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BuildRequires: rocm-rpm-macros
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BuildRequires: rocm-rpm-macros-modules
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BuildRequires: rocthrust-devel
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Requires: rocm-rpm-macros-modules
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%endif
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%if %{with foxi}
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%if %{with caffe2}
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BuildRequires: foxi-devel
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%endif
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%endif
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%if %{with test}
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BuildRequires: google-benchmark-devel
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%endif
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# Apache-2.0
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Provides: bundled(flatbuffers) = 22.3.3
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# MIT
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Provides: bundled(miniz) = 2.1.0
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Provides: bundled(pybind11) = 2.11.1
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%description
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PyTorch is a Python package that provides two high-level features:
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* Tensor computation (like NumPy) with strong GPU acceleration
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* Deep neural networks built on a tape-based autograd system
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You can reuse your favorite Python packages such as NumPy, SciPy,
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and Cython to extend PyTorch when needed.
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%package -n python3-%{pypi_name}
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Summary: %{summary}
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%description -n python3-%{pypi_name}
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PyTorch is a Python package that provides two high-level features:
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* Tensor computation (like NumPy) with strong GPU acceleration
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* Deep neural networks built on a tape-based autograd system
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You can reuse your favorite Python packages such as NumPy, SciPy,
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and Cython to extend PyTorch when needed.
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%package -n python3-%{pypi_name}-devel
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Summary: Libraries and headers for %{name}
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Requires: python3-%{pypi_name}%{?_isa} = %{version}-%{release}
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%description -n python3-%{pypi_name}-devel
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%{summary}
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%if %{with rocm}
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%package -n python3-%{pypi_name}-rocm
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Summary: %{name} for ROCm
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Requires: python3-%{pypi_name}%{?_isa} = %{version}-%{release}
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%description -n python3-%{pypi_name}-rocm
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%{summary}
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%endif
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%if %{with test}
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%package -n python3-%{pypi_name}-test
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Summary: Tests for %{name}
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Requires: python3-%{pypi_name}%{?_isa} = %{version}-%{release}
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%description -n python3-%{pypi_name}-test
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%{summary}
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%endif
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%prep
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%if %{with gitcommit}
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%autosetup -p1 -n pytorch-%{commit0}
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# Remove bundled egg-info
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rm -rf %{pypi_name}.egg-info
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# Overwrite with a git checkout of the pyproject.toml
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cp %{SOURCE100} .
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%else
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%autosetup -p1 -n pytorch-v%{version}
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%endif
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tar xf %{SOURCE1}
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cp -r flatbuffers-23.3.3/* third_party/flatbuffers/
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tar xf %{SOURCE2}
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cp -r pybind11-2.11.1/* third_party/pybind11/
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%if %{with cuda}
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tar xf %{SOURCE10}
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cp -r cudnn-frontend-1.0.3/* third_party/cudnn_frontend/
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tar xf %{SOURCE11}
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cp -r cutlass-3.3.0/* third_party/cutlass/
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%endif
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%if %{with opencv}
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# Reduce requirements, *FOUND is not set
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sed -i -e 's/USE_OPENCV AND OpenCV_FOUND AND USE_FFMPEG AND FFMPEG_FOUND/USE_OPENCV AND USE_FFMPEG/' caffe2/video/CMakeLists.txt
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sed -i -e 's/USE_OPENCV AND OpenCV_FOUND/USE_OPENCV/' caffe2/image/CMakeLists.txt
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sed -i -e 's/STATUS/FATAL/' caffe2/image/CMakeLists.txt
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cat caffe2/image/CMakeLists.txt
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%endif
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%if 0%{?rhel}
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# In RHEL but too old
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sed -i -e '/typing-extensions/d' setup.py
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# Need to pip these
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sed -i -e '/sympy/d' setup.py
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sed -i -e '/fsspec/d' setup.py
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%endif
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# Release comes fully loaded with third party src
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# Remove what we can
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#
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# For 2.1 this is all but miniz-2.1.0
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# Instead of building as a library, caffe2 reaches into
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# the third_party dir to compile the file.
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# mimiz is licensed MIT
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# https://github.com/richgel999/miniz/blob/master/LICENSE
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mv third_party/miniz-2.1.0 .
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#
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# setup.py depends on this script
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mv third_party/build_bundled.py .
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# Need the just untarred flatbuffers/flatbuffers.h
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mv third_party/flatbuffers .
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mv third_party/pybind11 .
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%if %{with cuda}
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mv third_party/cudnn_frontend .
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mv third_party/cutlass .
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%endif
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%if %{with test}
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mv third_party/googletest .
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%endif
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# Remove everything
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rm -rf third_party/*
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# Put stuff back
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mv build_bundled.py third_party
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mv miniz-2.1.0 third_party
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mv flatbuffers third_party
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mv pybind11 third_party
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%if %{with cuda}
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mv cudnn_frontend third_party
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mv cutlass third_party
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%endif
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%if %{with test}
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mv googletest third_party
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%endif
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#
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# Fake out pocketfft, and system header will be used
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mkdir third_party/pocketfft
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#
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# Use the system valgrind headers
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mkdir third_party/valgrind-headers
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cp %{_includedir}/valgrind/* third_party/valgrind-headers
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# Remove unneeded OpenCL files that confuse the lincense scanner
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rm caffe2/contrib/opencl/OpenCL/cl.hpp
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rm caffe2/mobile/contrib/libopencl-stub/include/CL/*.h
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rm caffe2/mobile/contrib/libopencl-stub/include/CL/*.hpp
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%if %{with rocm}
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# hipify
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./tools/amd_build/build_amd.py
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# Fedora installs to /usr/include, not /usr/include/rocm-core
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sed -i -e 's@rocm-core/rocm_version.h@rocm_version.h@' aten/src/ATen/hip/tunable/TunableGemm.h
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%endif
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%if %{with cuda}
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# build complains about not being able to build -pie without -fPIC
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sed -i -e 's@string(APPEND CMAKE_CUDA_FLAGS " -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")@string(APPEND CMAKE_CUDA_FLAGS " -fPIC -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")@' CMakeLists.txt
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%endif
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%build
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#
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# Control the number of jobs
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#
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# The build can fail if too many threads exceed the physical memory
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# So count core and and memory and increase the build memory util the build succeeds
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#
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# Real cores, No hyperthreading
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COMPILE_JOBS=`cat /proc/cpuinfo | grep -m 1 'cpu cores' | awk '{ print $4 }'`
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if [ ${COMPILE_JOBS}x = x ]; then
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COMPILE_JOBS=1
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fi
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# Take into account memmory usage per core, do not thrash real memory
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%if %{with cuda}
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BUILD_MEM=4
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%else
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BUILD_MEM=2
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%endif
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MEM_KB=0
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MEM_KB=`cat /proc/meminfo | grep MemTotal | awk '{ print $2 }'`
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MEM_MB=`eval "expr ${MEM_KB} / 1024"`
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MEM_GB=`eval "expr ${MEM_MB} / 1024"`
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COMPILE_JOBS_MEM=`eval "expr 1 + ${MEM_GB} / ${BUILD_MEM}"`
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if [ "$COMPILE_JOBS_MEM" -lt "$COMPILE_JOBS" ]; then
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COMPILE_JOBS=$COMPILE_JOBS_MEM
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fi
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export MAX_JOBS=$COMPILE_JOBS
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# For debugging setup.py
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# export SETUPTOOLS_SCM_DEBUG=1
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# For verbose cmake output
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# export VERBOSE=ON
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# For verbose linking
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# export CMAKE_SHARED_LINKER_FLAGS=-Wl,--verbose
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# Manually set this hardening flag
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export CMAKE_EXE_LINKER_FLAGS=-pie
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export BUILD_CUSTOM_PROTOBUF=OFF
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export BUILD_NVFUSER=OFF
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export BUILD_SHARED_LIBS=ON
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export BUILD_TEST=OFF
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export CMAKE_BUILD_TYPE=RelWithDebInfo
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export CMAKE_FIND_PACKAGE_PREFER_CONFIG=ON
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export CAFFE2_LINK_LOCAL_PROTOBUF=OFF
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export INTERN_BUILD_MOBILE=OFF
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export USE_DISTRIBUTED=OFF
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export USE_CUDA=OFF
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export USE_FBGEMM=OFF
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export USE_GOLD_LINKER=OFF
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export USE_ITT=OFF
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export USE_KINETO=OFF
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export USE_LITE_INTERPRETER_PROFILER=OFF
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export USE_LITE_PROTO=OFF
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export USE_MKLDNN=OFF
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export USE_NCCL=OFF
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export USE_NNPACK=OFF
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export USE_NUMPY=ON
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export USE_OPENMP=OFF
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export USE_PYTORCH_QNNPACK=OFF
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export USE_QNNPACK=OFF
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export USE_ROCM=OFF
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export USE_SYSTEM_CPUINFO=ON
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export USE_SYSTEM_SLEEF=ON
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export USE_SYSTEM_EIGEN_INSTALL=ON
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export USE_SYSTEM_FP16=ON
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export USE_SYSTEM_PTHREADPOOL=ON
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export USE_SYSTEM_PSIMD=ON
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export USE_SYSTEM_FXDIV=ON
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export USE_SYSTEM_ONNX=ON
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export USE_SYSTEM_XNNPACK=ON
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export USE_SYSTEM_PYBIND11=OFF
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export USE_SYSTEM_LIBS=OFF
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export USE_TENSORPIPE=OFF
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export USE_XNNPACK=ON
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%if %{with caffe2}
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export BUILD_CAFFE2=ON
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%endif
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%if %{with cuda}
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%if %{without rocm}
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export CUDACXX=/usr/local/cuda/bin/nvcc
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export CPLUS_INCLUDE_PATH=/usr/local/cuda/include
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export USE_CUDA=ON
|
|
%endif
|
|
%endif
|
|
|
|
%if %{with distributed}
|
|
export USE_DISTRIBUTED=ON
|
|
%endif
|
|
|
|
%if %{with openmp}
|
|
export USE_OPENMP=ON
|
|
%endif
|
|
|
|
%if %{with test}
|
|
export BUILD_TEST=ON
|
|
%endif
|
|
|
|
# Why we are using py3_ vs pyproject_
|
|
#
|
|
# current pyproject problem with mock
|
|
# + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/pytorch-v2.1.0/pyproject-wheeldir
|
|
# /usr/bin/python3: No module named pip
|
|
# Adding pip to build requires does not fix
|
|
#
|
|
# See BZ 2244862
|
|
|
|
|
|
%if %{with rocm}
|
|
|
|
export USE_ROCM=ON
|
|
export HIP_PATH=%{_prefix}
|
|
export ROCM_PATH=%{_prefix}
|
|
export DEVICE_LIB_PATH=%{clang_resource_dir}/amdgcn/bitcode
|
|
|
|
gpu=%{rocm_default_gpu}
|
|
module load rocm/$gpu
|
|
export PYTORCH_ROCM_ARCH=$ROCM_GPUS
|
|
%py3_build
|
|
mv build build-${gpu}
|
|
module purge
|
|
|
|
%if %{with rocm_loop}
|
|
for gpu in %{rocm_gpu_list}
|
|
do
|
|
module load rocm/$gpu
|
|
export PYTORCH_ROCM_ARCH=$ROCM_GPUS
|
|
%py3_build
|
|
mv build build-${gpu}
|
|
module purge
|
|
done
|
|
%endif
|
|
|
|
%else
|
|
|
|
%py3_build
|
|
|
|
%endif
|
|
|
|
%install
|
|
|
|
%if %{with rocm}
|
|
|
|
export USE_ROCM=ON
|
|
export HIP_PATH=%{_prefix}
|
|
export ROCM_PATH=%{_prefix}
|
|
export DEVICE_LIB_PATH=%{clang_resource_dir}/amdgcn/bitcode
|
|
|
|
gpu=%{rocm_default_gpu}
|
|
module load rocm/$gpu
|
|
export PYTORCH_ROCM_ARCH=$ROCM_GPUS
|
|
mv build-${gpu} build
|
|
%py3_install
|
|
mv build build-${gpu}
|
|
module purge
|
|
|
|
%if %{with rocm_loop}
|
|
for gpu in %{rocm_gpu_list}
|
|
do
|
|
module load rocm/$gpu
|
|
export PYTORCH_ROCM_ARCH=$ROCM_GPUS
|
|
mv build-${gpu} build
|
|
# need to customize the install location, so replace py3_install
|
|
%{__python3} %{py_setup} %{?py_setup_args} install -O1 --skip-build --root %{buildroot} --prefix /usr/lib64/rocm/${gpu} %{?*}
|
|
rm -rfv %{buildroot}/usr/lib/rocm/${gpu}/bin/__pycache__
|
|
mv build build-${gpu}
|
|
module purge
|
|
done
|
|
%endif
|
|
|
|
%else
|
|
%py3_install
|
|
|
|
%endif
|
|
|
|
%files -n python3-%{pypi_name}
|
|
%license LICENSE
|
|
%doc README.md
|
|
%{_bindir}/convert-caffe2-to-onnx
|
|
%{_bindir}/convert-onnx-to-caffe2
|
|
%{_bindir}/torchrun
|
|
%{python3_sitearch}/%{pypi_name}
|
|
%{python3_sitearch}/%{pypi_name}-*.egg-info
|
|
%{python3_sitearch}/functorch
|
|
%{python3_sitearch}/torchgen
|
|
%if %{with caffe2}
|
|
%{python3_sitearch}/caffe2
|
|
%endif
|
|
%if %{with rocm}
|
|
%{_libdir}/rocm/gfx*/bin/*
|
|
%{_libdir}/rocm/gfx*/lib64/*
|
|
%endif
|
|
|
|
|
|
# See license.txt for license details
|
|
|
|
%changelog
|
|
* Fri Jan 26 2024 Fedora Release Engineering <releng@fedoraproject.org> - 2.1.2-3
|
|
- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild
|
|
|
|
* Mon Jan 22 2024 Fedora Release Engineering <releng@fedoraproject.org> - 2.1.2-2
|
|
- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild
|
|
|
|
* Wed Dec 27 2023 Tom Rix <trix@redhat.com> - 2.1.2-1
|
|
- Update to 2.1.2
|
|
- Stop versioning *.so's - 2.1.2's version is wrong
|
|
- Stub in caffe2 to test in flight package
|
|
|
|
* Wed Dec 27 2023 Tom Rix <trix@redhat.com> - 2.1.0-13
|
|
- Stub in openmp to test in openmp
|
|
|
|
* Wed Dec 20 2023 Tom Rix <trix@redhat.com> - 2.1.0-12
|
|
- Stub in rocm to test in flight packages
|
|
|
|
* Wed Dec 13 2023 Tom Rix <trix@redhat.com> - 2.1.0-11
|
|
- Move unversioned *.so's to main package
|
|
|
|
* Fri Dec 1 2023 Tom Rix <trix@redhat.com> - 2.1.0-10
|
|
- Disable gold linker
|
|
- Remove python requires
|
|
- Change to openblas, remove -lgfortran fixes
|
|
- Manually add -pie to linking options
|
|
|
|
* Fri Nov 24 2023 Tom Rix <trix@redhat.com> - 2.1.0-9
|
|
- Enable debug build
|
|
- Remove Khronos licensed files from source
|
|
- Use 0BSD license identifier
|
|
- Generate lists directories, python and header files
|
|
- Add a -test subpackage
|
|
|
|
* Wed Nov 15 2023 Tom Rix <trix@redhat.com> - 2.1.0-8
|
|
- Address review comments
|
|
|
|
* Thu Nov 2 2023 Tom Rix <trix@redhat.com> - 2.1.0-7
|
|
- Address review comments
|
|
- remove pyproject option
|
|
|
|
* Thu Oct 19 2023 Tom Rix <trix@redhat.com> - 2.1.0-6
|
|
- Address review comments
|
|
|
|
* Wed Oct 18 2023 Tom Rix <trix@redhat.com> - 2.1.0-5
|
|
- Address review comments
|
|
|
|
* Sat Oct 14 2023 Tom Rix <trix@redhat.com> - 2.1.0-4
|
|
- Use gloo, xnnpack
|
|
- Find missing build_bundled.py
|
|
- Add pyproject option
|
|
|
|
* Thu Oct 12 2023 Tom Rix <trix@redhat.com> - 2.1.0-3
|
|
- Address review comments
|
|
- Force so versioning on
|
|
|
|
* Mon Oct 9 2023 Tom Rix <trix@redhat.com> - 2.1.0-2
|
|
- Use the 2.1 release
|
|
- Reduce USE_SYSTEM_LIBS to parts
|
|
- Remove almost all of third_party/
|
|
- Remove py2rpm generated noise
|
|
|
|
* Sat Sep 30 2023 Tom Rix <trix@redhat.com> - 2.1.0-1
|
|
- Initial package.
|
|
|