683 lines
20 KiB
RPMSpec
683 lines
20 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_with gitcommit
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%if %{with gitcommit}
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# v2.9.0-rc9
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%global commit0 0fabc3ba44823f257e70ce397d989c8de5e362c1
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%global shortcommit0 %(c=%{commit0}; echo ${c:0:7})
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%global date0 20251008
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%global pypi_version 2.9.0
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%global flatbuffers_version 24.12.23
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%global miniz_version 3.0.2
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%global pybind11_version 2.13.6
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%global rc_tag -rc9
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%else
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%global pypi_version 2.9.1
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%global flatbuffers_version 24.12.23
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%global miniz_version 3.0.2
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%global pybind11_version 2.13.6
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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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%bcond_without rocm
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%endif
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# For testing distributed+rccl etc.
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%bcond_without rccl
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%bcond_with gloo
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%bcond_without mpi
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%bcond_without tensorpipe
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# Disable dwz with rocm because memory can be exhausted
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%if %{with rocm}
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%define _find_debuginfo_dwz_opts %{nil}
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%endif
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# These came in 2.4 and not yet in Fedora
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%bcond_with opentelemetry
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%bcond_with httplib
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%bcond_with kineto
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%if 0%{?fedora}
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%bcond_without onnx
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%else
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%bcond_with onnx
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%endif
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Name: python-%{pypi_name}
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%if %{with gitcommit}
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Version: %{pypi_version}^git%{date0}.%{shortcommit0}
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%else
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Version: %{pypi_version}
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%endif
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Release: %autorelease
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Summary: PyTorch AI/ML framework
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# See license.txt for license 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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Source1000: 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/v%{flatbuffers_version}.tar.gz
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Source2: https://github.com/pybind/pybind11/archive/refs/tags/v%{pybind11_version}.tar.gz
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# Developement on tensorpipe has stopped, repo made read only July 1, 2023, this is the last commit
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%global tp_commit 52791a2fd214b2a9dc5759d36725909c1daa7f2e
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%global tp_scommit %(c=%{tp_commit}; echo ${c:0:7})
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Source20: https://github.com/pytorch/tensorpipe/archive/%{tp_commit}/tensorpipe-%{tp_scommit}.tar.gz
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# The old libuv tensorpipe uses
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Source21: https://github.com/libuv/libuv/archive/refs/tags/v1.41.0.tar.gz
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# Developement afaik on libnop has stopped, this is the last commit
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%global nop_commit 910b55815be16109f04f4180e9adee14fb4ce281
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%global nop_scommit %(c=%{nop_commit}; echo ${c:0:7})
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Source22: https://github.com/google/libnop/archive/%{nop_commit}/libnop-%{nop_scommit}.tar.gz
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%if %{without opentelemetry}
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%global ot_ver 1.14.2
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Source60: https://github.com/open-telemetry/opentelemetry-cpp/archive/refs/tags/v%{ot_ver}.tar.gz
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%endif
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%if %{without httplib}
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%global hl_commit 3b6597bba913d51161383657829b7e644e59c006
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%global hl_scommit %(c=%{hl_commit}; echo ${c:0:7})
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Source70: https://github.com/yhirose/cpp-httplib/archive/%{hl_commit}/cpp-httplib-%{hl_scommit}.tar.gz
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%endif
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%if %{without kineto}
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%global ki_commit 5e7501833f1021ce6f618572d3baf657b6319658
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%global ki_scommit %(c=%{ki_commit}; echo ${c:0:7})
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Source80: https://github.com/pytorch/kineto/archive/%{ki_commit}/kineto-%{ki_scommit}.tar.gz
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%endif
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%global ox_ver 1.18.0
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Source90: https://github.com/onnx/onnx/archive/refs/tags/v%{ox_ver}.tar.gz
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%global pt_arches x86_64 aarch64
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ExclusiveArch: %pt_arches
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%global toolchain gcc
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%global _lto_cflags %nil
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BuildRequires: cmake
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BuildRequires: eigen3-devel
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BuildRequires: flexiblas-devel
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BuildRequires: fmt-devel
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BuildRequires: foxi-devel
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BuildRequires: gcc-c++
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BuildRequires: gcc-gfortran
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%if %{with gloo}
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BuildRequires: gloo-devel
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%endif
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BuildRequires: json-devel
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BuildRequires: libomp-devel
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BuildRequires: moodycamel-concurrentqueue-devel
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BuildRequires: numactl-devel
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BuildRequires: ninja-build
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%if %{with onnx}
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BuildRequires: onnx-devel
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%endif
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%if %{with mpi}
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BuildRequires: openmpi-devel
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%endif
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BuildRequires: protobuf-devel
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BuildRequires: sleef-devel
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BuildRequires: valgrind-devel
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BuildRequires: pocketfft-devel
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BuildRequires: pthreadpool-devel
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BuildRequires: cpuinfo-devel
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BuildRequires: FP16-devel
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BuildRequires: fxdiv-devel
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BuildRequires: psimd-devel
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BuildRequires: xnnpack-devel = 0.0^git20240814.312eb7e
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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(numpy)
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BuildRequires: python3dist(pip)
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BuildRequires: python3dist(pyyaml)
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BuildRequires: python3dist(setuptools)
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BuildRequires: python3dist(sphinx)
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BuildRequires: python3dist(typing-extensions)
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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 rocm}
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BuildRequires: hipblas-devel
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BuildRequires: hipblaslt-devel
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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: hipsparselt-devel
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BuildRequires: hipsolver-devel
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# Magma is broken on ROCm 7
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# BuildRequires: magma-devel
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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 rccl}
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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-compilersupport-macros
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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: rocsolver-devel
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BuildRequires: rocm-smi-devel
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BuildRequires: rocthrust-devel
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BuildRequires: roctracer-devel
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Requires: amdsmi
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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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Requires: python3dist(dill)
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Requires: python3dist(yaml)
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Obsoletes: caffe = 1.0^git20200212.9b89154
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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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# For convience
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Provides: pytorch
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# Apache-2.0
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Provides: bundled(flatbuffers) = %{flatbuffers_version}
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# MIT
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Provides: bundled(miniz) = %{miniz_version}
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Provides: bundled(pybind11) = %{pybind11_version}
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%if %{with tensorpipe}
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# BSD-3-Clause
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Provides: bundled(tensorpipe)
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# Apache-2.0
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Provides: bundled(libnop)
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# MIT AND CC-BY-4.0 AND ISC AND BSD-2-Clause
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Provides: bundled(libuv) = 1.41.0
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%endif
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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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%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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# Overwrite with a git checkout of the pyproject.toml
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cp %{SOURCE1000} .
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%else
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%autosetup -p1 -n pytorch-v%{version}
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%endif
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# Remove bundled egg-info
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rm -rf %{pypi_name}.egg-info
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tar xf %{SOURCE1}
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rm -rf third_party/flatbuffers/*
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cp -r flatbuffers-%{flatbuffers_version}/* third_party/flatbuffers/
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tar xf %{SOURCE2}
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rm -rf third_party/pybind11/*
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cp -r pybind11-%{pybind11_version}/* third_party/pybind11/
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%if %{with tensorpipe}
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tar xf %{SOURCE20}
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rm -rf third_party/tensorpipe/*
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cp -r tensorpipe-*/* third_party/tensorpipe/
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tar xf %{SOURCE21}
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rm -rf third_party/tensorpipe/third_party/libuv/*
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cp -r libuv-*/* third_party/tensorpipe/third_party/libuv/
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tar xf %{SOURCE22}
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rm -rf third_party/tensorpipe/third_party/libnop/*
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cp -r libnop-*/* third_party/tensorpipe/third_party/libnop/
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# gcc 15 include cstdint
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sed -i '/#include <tensorpipe.*/a#include <cstdint>' third_party/tensorpipe/tensorpipe/common/allocator.h
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sed -i '/#include <tensorpipe.*/a#include <cstdint>' third_party/tensorpipe/tensorpipe/common/memory.h
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%endif
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%if %{without opentelemtry}
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tar xf %{SOURCE60}
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rm -rf third_party/opentelemetry-cpp/*
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cp -r opentelemetry-cpp-*/* third_party/opentelemetry-cpp/
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%endif
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%if %{without httplib}
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tar xf %{SOURCE70}
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rm -rf third_party/cpp-httplib/*
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cp -r cpp-httplib-*/* third_party/cpp-httplib/
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%endif
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%if %{without kineto}
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tar xf %{SOURCE80}
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rm -rf third_party/kineto/*
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cp -r kineto-*/* third_party/kineto/
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%endif
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%if %{without onnx}
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tar xf %{SOURCE90}
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rm -rf third_party/onnx/*
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cp -r onnx-*/* third_party/onnx/
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%endif
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# Adjust for the hipblaslt's we build
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sed -i -e 's@"gfx90a", "gfx940", "gfx941", "gfx942"@"gfx90a", "gfx1103", "gfx1150", "gfx1151", "gfx1100", "gfx1101", "gfx1200", "gfx1201"@' aten/src/ATen/native/cuda/Blas.cpp
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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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%else
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# for 2.5.0
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sed -i -e 's@sympy==1.13.1@sympy>=1.13.1@' setup.py
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%endif
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# A new dependency
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# Connected to USE_FLASH_ATTENTION, since this is off, do not need it
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sed -i -e '/aotriton.cmake/d' cmake/Dependencies.cmake
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# Compress hip
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc --offload-compress@' cmake/Dependencies.cmake
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# Silence noisy warning
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-pass-failed@' cmake/Dependencies.cmake
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-unused-command-line-argument@' cmake/Dependencies.cmake
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-unused-result@' cmake/Dependencies.cmake
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -Wno-deprecated-declarations@' cmake/Dependencies.cmake
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# Use parallel jobs
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sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc -parallel-jobs=4@' cmake/Dependencies.cmake
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# Need to link with librocm_smi64
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sed -i -e 's@hiprtc::hiprtc@hiprtc::hiprtc rocm_smi64@' cmake/Dependencies.cmake
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# No third_party fmt, use system
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sed -i -e 's@fmt::fmt-header-only@fmt@' CMakeLists.txt
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sed -i -e 's@fmt::fmt-header-only@fmt@' aten/src/ATen/CMakeLists.txt
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sed -i -e 's@list(APPEND ATen_HIP_INCLUDE $<TARGET_PROPERTY:fmt,INTERFACE_INCLUDE_DIRECTORIES>)@@' aten/src/ATen/CMakeLists.txt
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sed -i -e 's@fmt::fmt-header-only@fmt@' third_party/kineto/libkineto/CMakeLists.txt
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sed -i -e 's@fmt::fmt-header-only@fmt@' c10/CMakeLists.txt
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sed -i -e 's@fmt::fmt-header-only@fmt@' torch/CMakeLists.txt
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sed -i -e 's@fmt::fmt-header-only@fmt@' cmake/Dependencies.cmake
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sed -i -e 's@fmt::fmt-header-only@fmt@' caffe2/CMakeLists.txt
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sed -i -e 's@add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)@#add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)@' cmake/Dependencies.cmake
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sed -i -e 's@set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES "")@#set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES "")@' cmake/Dependencies.cmake
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sed -i -e 's@list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)@#list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)@' cmake/Dependencies.cmake
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# No third_party FXdiv
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sed -i -e 's@if(NOT TARGET fxdiv)@if(MSVC AND USE_XNNPACK)@' caffe2/CMakeLists.txt
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sed -i -e 's@TARGET_LINK_LIBRARIES(torch_cpu PRIVATE fxdiv)@#TARGET_LINK_LIBRARIES(torch_cpu PRIVATE fxdiv)@' caffe2/CMakeLists.txt
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# https://github.com/pytorch/pytorch/issues/149803
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# Tries to checkout nccl
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sed -i -e 's@ checkout_nccl()@ True@' tools/build_pytorch_libs.py
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# Disable the use of check_submodule's in the setup.py, we are a tarball, not a git repo
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sed -i -e 's@check_submodules()$@#check_submodules()@' setup.py
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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-%{miniz_version} .
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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 tensorpipe}
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mv third_party/tensorpipe .
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%endif
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%if %{without opentelemetry}
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mv third_party/opentelemetry-cpp .
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%endif
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%if %{without httplib}
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mv third_party/cpp-httplib .
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%endif
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%if %{without kineto}
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mv third_party/kineto .
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%endif
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%if %{without onnx}
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mv third_party/onnx .
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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-%{miniz_version} third_party
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mv flatbuffers third_party
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mv pybind11 third_party
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%if %{with tensorpipe}
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mv tensorpipe third_party
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%endif
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%if %{without opentelemetry}
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mv opentelemetry-cpp third_party
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%endif
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%if %{without httplib}
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mv cpp-httplib third_party
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%endif
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%if %{without kineto}
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mv kineto third_party
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%endif
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%if %{without onnx}
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mv onnx 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
|
|
|
|
#
|
|
# Fake out pocketfft, and system header will be used
|
|
mkdir third_party/pocketfft
|
|
cp /usr/include/pocketfft_hdronly.h third_party/pocketfft/
|
|
|
|
#
|
|
# Use the system valgrind headers
|
|
mkdir third_party/valgrind-headers
|
|
cp %{_includedir}/valgrind/* third_party/valgrind-headers
|
|
|
|
# Fix installing to /usr/lib64
|
|
sed -i -e 's@DESTINATION ${PYTHON_LIB_REL_PATH}@DESTINATION ${CMAKE_INSTALL_PREFIX}/${PYTHON_LIB_REL_PATH}@' caffe2/CMakeLists.txt
|
|
|
|
# reenable foxi linking
|
|
sed -i -e 's@list(APPEND Caffe2_DEPENDENCY_LIBS foxi_loader)@#list(APPEND Caffe2_DEPENDENCY_LIBS foxi_loader)@' cmake/Dependencies.cmake
|
|
|
|
# cmake version changed
|
|
sed -i -e 's@cmake_minimum_required(VERSION 3.4)@cmake_minimum_required(VERSION 3.5)@' third_party/tensorpipe/third_party/libuv/CMakeLists.txt
|
|
sed -i -e 's@cmake_minimum_required(VERSION 3.4)@cmake_minimum_required(VERSION 3.5)@' libuv*/CMakeLists.txt
|
|
%if %{without opentelemtry}
|
|
sed -i -e 's@cmake_minimum_required(VERSION 3.1)@cmake_minimum_required(VERSION 3.5)@' third_party/opentelemetry-cpp/CMakeLists.txt
|
|
%endif
|
|
|
|
%if %{with rocm}
|
|
# hipify
|
|
./tools/amd_build/build_amd.py
|
|
# Fedora installs to /usr/include, not /usr/include/rocm-core
|
|
sed -i -e 's@rocm-core/rocm_version.h@rocm_version.h@' aten/src/ATen/hip/tunable/TunableGemm.h
|
|
# https://github.com/pytorch/pytorch/issues/149805
|
|
sed -i -e 's@rocm-core/rocm_version.h@rocm_version.h@' cmake/public/LoadHIP.cmake
|
|
# Fedora installs to /usr/include, not /usr/include/rocm-core
|
|
sed -i -e 's@rocm-core/rocm_version.h@rocm_version.h@' aten/src/ATen/hip/tunable/Tunable.cpp
|
|
sed -i -e 's@rocm-core/rocm_version.h@rocm_version.h@' aten/src/ATen/cuda/tunable/Tunable.cpp
|
|
# use any hip, correct CMAKE_MODULE_PATH
|
|
sed -i -e 's@lib/cmake/hip@lib64/cmake/hip@' cmake/public/LoadHIP.cmake
|
|
sed -i -e 's@HIP 1.0@HIP MODULE@' cmake/public/LoadHIP.cmake
|
|
# silence an assert
|
|
# sed -i -e '/qvalue = std::clamp(qvalue, qmin, qmax);/d' aten/src/ATen/native/cuda/IndexKernel.cu
|
|
|
|
%endif
|
|
|
|
# moodycamel include path needs adjusting to use the system's
|
|
sed -i -e 's@${PROJECT_SOURCE_DIR}/third_party/concurrentqueue@/usr/include/concurrentqueue@' cmake/Dependencies.cmake
|
|
|
|
%build
|
|
|
|
# Export the arches
|
|
# echo "%%pytorch_arches %pt_arches" > macros.pytorch
|
|
|
|
#
|
|
# Control the number of jobs
|
|
#
|
|
# The build can fail if too many threads exceed the physical memory
|
|
# Run at least one thread, more if CPU & memory resources are available.
|
|
#
|
|
%ifarch x86_64
|
|
# Real cores, No hyperthreading
|
|
COMPILE_JOBS=`cat /proc/cpuinfo | grep -m 1 'cpu cores' | awk '{ print $4 }'`
|
|
%else
|
|
# cpuinfo format varies on other arches, fall back to nproc
|
|
COMPILE_JOBS=`nproc`
|
|
%endif
|
|
if [ ${COMPILE_JOBS}x = x ]; then
|
|
COMPILE_JOBS=1
|
|
fi
|
|
# Take into account memmory usage per core, do not thrash real memory
|
|
BUILD_MEM=2
|
|
MEM_KB=0
|
|
MEM_KB=`cat /proc/meminfo | grep MemTotal | awk '{ print $2 }'`
|
|
MEM_MB=`eval "expr ${MEM_KB} / 1024"`
|
|
MEM_GB=`eval "expr ${MEM_MB} / 1024"`
|
|
COMPILE_JOBS_MEM=`eval "expr 1 + ${MEM_GB} / ${BUILD_MEM}"`
|
|
if [ "$COMPILE_JOBS_MEM" -lt "$COMPILE_JOBS" ]; then
|
|
COMPILE_JOBS=$COMPILE_JOBS_MEM
|
|
fi
|
|
export MAX_JOBS=$COMPILE_JOBS
|
|
|
|
# For debugging setup.py
|
|
# export SETUPTOOLS_SCM_DEBUG=1
|
|
|
|
# For verbose cmake output
|
|
# export VERBOSE=ON
|
|
# For verbose linking
|
|
# export CMAKE_SHARED_LINKER_FLAGS=-Wl,--verbose
|
|
|
|
# Manually set this hardening flag
|
|
export CMAKE_EXE_LINKER_FLAGS=-pie
|
|
|
|
export BUILD_CUSTOM_PROTOBUF=OFF
|
|
export BUILD_NVFUSER=OFF
|
|
export BUILD_SHARED_LIBS=ON
|
|
export BUILD_TEST=OFF
|
|
export CMAKE_BUILD_TYPE=RelWithDebInfo
|
|
export CMAKE_FIND_PACKAGE_PREFER_CONFIG=ON
|
|
export CAFFE2_LINK_LOCAL_PROTOBUF=OFF
|
|
export INTERN_BUILD_MOBILE=OFF
|
|
export USE_DISTRIBUTED=OFF
|
|
export USE_CUDA=OFF
|
|
export USE_FAKELOWP=OFF
|
|
export USE_FBGEMM=OFF
|
|
export USE_FLASH_ATTENTION=OFF
|
|
export USE_GLOO=OFF
|
|
export USE_ITT=OFF
|
|
export USE_KINETO=OFF
|
|
export USE_KLEIDIAI=OFF
|
|
export USE_LITE_INTERPRETER_PROFILER=OFF
|
|
export USE_LITE_PROTO=OFF
|
|
export USE_MAGMA=OFF
|
|
export USE_MEM_EFF_ATTENTION=OFF
|
|
export USE_MKLDNN=OFF
|
|
export USE_MPI=OFF
|
|
export USE_NCCL=OFF
|
|
export USE_NNPACK=OFF
|
|
export USE_NUMPY=ON
|
|
export USE_OPENMP=ON
|
|
export USE_PYTORCH_QNNPACK=OFF
|
|
export USE_ROCM=OFF
|
|
export USE_SYSTEM_SLEEF=ON
|
|
export USE_SYSTEM_EIGEN_INSTALL=ON
|
|
%if %{with onnx}
|
|
export USE_SYSTEM_ONNX=ON
|
|
%endif
|
|
export USE_SYSTEM_PYBIND11=OFF
|
|
export USE_SYSTEM_LIBS=OFF
|
|
export USE_SYSTEM_NCCL=OFF
|
|
export USE_TENSORPIPE=OFF
|
|
export USE_XNNPACK=OFF
|
|
export USE_XPU=OFF
|
|
export USE_SYSTEM_PTHREADPOOL=ON
|
|
export USE_SYSTEM_CPUINFO=ON
|
|
export USE_SYSTEM_FP16=ON
|
|
export USE_SYSTEM_FXDIV=ON
|
|
export USE_SYSTEM_PSIMD=ON
|
|
export USE_SYSTEM_XNNPACK=OFF
|
|
|
|
export USE_DISTRIBUTED=ON
|
|
%if %{with tensorpipe}
|
|
export USE_TENSORPIPE=ON
|
|
export TP_BUILD_LIBUV=OFF
|
|
%endif
|
|
|
|
%if %{with gloo}
|
|
export USE_GLOO=ON
|
|
export USE_SYSTEM_GLOO=ON
|
|
%endif
|
|
%if %{with mpi}
|
|
export USE_MPI=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 USE_ROCM_CK_SDPA=OFF
|
|
export USE_ROCM_CK_GEMM=OFF
|
|
export USE_FBGEMM_GENAI=OFF
|
|
|
|
# Magma is broken on ROCm 7
|
|
# export USE_MAGMA=ON
|
|
export HIP_PATH=`hipconfig -p`
|
|
export ROCM_PATH=`hipconfig -R`
|
|
#RESOURCE_DIR=`%{rocmllvm_bindir}/clang -print-resource-dir`
|
|
#export DEVICE_LIB_PATH=${RESOURCE_DIR}/amdgcn/bitcode
|
|
|
|
# pytorch uses clang, not hipcc
|
|
export HIP_CLANG_PATH=%{rocmllvm_bindir}
|
|
export PYTORCH_ROCM_ARCH=%{rocm_gpu_list_default}
|
|
|
|
%endif
|
|
|
|
%if 0%{?fedora}
|
|
%pyproject_wheel
|
|
%else
|
|
%py3_build
|
|
%endif
|
|
|
|
|
|
%install
|
|
|
|
# pytorch rpm macros
|
|
# install -Dpm 644 macros.pytorch \
|
|
# %{buildroot}%{_rpmmacrodir}/macros.pytorch
|
|
|
|
%if %{with rocm}
|
|
export USE_ROCM=ON
|
|
export USE_ROCM_CK=OFF
|
|
export HIP_PATH=`hipconfig -p`
|
|
export ROCM_PATH=`hipconfig -R`
|
|
# RESOURCE_DIR=`%{rocmllvm_bindir}/clang -print-resource-dir`
|
|
# export DEVICE_LIB_PATH=${RESOURCE_DIR}/amdgcn/bitcode
|
|
|
|
# pytorch uses clang, not hipcc
|
|
export HIP_CLANG_PATH=%{rocmllvm_bindir}
|
|
export PYTORCH_ROCM_ARCH=%{rocm_gpu_list_default}
|
|
|
|
%endif
|
|
|
|
%if 0%{?fedora}
|
|
%pyproject_install
|
|
%pyproject_save_files '*torch*'
|
|
%else
|
|
%py3_install
|
|
%endif
|
|
|
|
|
|
%check
|
|
# Not working yet
|
|
# pyproject_check_import torch
|
|
|
|
# Do not remote the empty files
|
|
|
|
%files -n python3-%{pypi_name}
|
|
%license LICENSE
|
|
%doc README.md
|
|
%{_bindir}/torchrun
|
|
%{python3_sitearch}/%{pypi_name}*
|
|
%{python3_sitearch}/functorch
|
|
|
|
%changelog
|
|
%autochangelog
|
|
|