8dce5406c1
We explicitly set the USE_GOLD_LINKER optoin but we don't add the binutils-gold build dep so it errors, add the dep to fix that.
984 lines
25 KiB
RPMSpec
984 lines
25 KiB
RPMSpec
%global pypi_name torch
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|
|
# Where the src comes from
|
|
%global forgeurl https://github.com/pytorch/pytorch
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# So pre releases can be tried
|
|
%bcond_with gitcommit
|
|
%if %{with gitcommit}
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|
# v2.5.0-rc9
|
|
%global commit0 417a0763a7d69f6ce80719ac89c1d2deeee78163
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|
%global shortcommit0 %(c=%{commit0}; echo ${c:0:7})
|
|
%global date0 2024103
|
|
%global pypi_version 2.5.0
|
|
%else
|
|
%global pypi_version 2.4.1
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|
%endif
|
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|
|
# For -test subpackage
|
|
# suitable only for local testing
|
|
# Install and do something like
|
|
# export LD_LIBRARY_PATH=/usr/lib64/python3.12/site-packages/torch/lib
|
|
# /usr/lib64/python3.12/site-packages/torch/bin/test_api, test_lazy
|
|
%bcond_with test
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|
|
%ifarch x86_64
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|
%bcond_without rocm
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|
%endif
|
|
%bcond_without hipblaslt
|
|
%bcond_without magma
|
|
%bcond_without rocm_loop
|
|
%global rocm_default_gpu default
|
|
%global rocm_gpu_list gfx9
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|
|
|
# Caffe2 support came in F41
|
|
%if 0%{?fedora} > 40
|
|
%bcond_without caffe2
|
|
%else
|
|
%bcond_with caffe2
|
|
%endif
|
|
|
|
# Distributed support came in F41
|
|
%if 0%{?fedora} > 40
|
|
%bcond_without distributed
|
|
# For testing distributed+rccl etc.
|
|
%bcond_without rccl
|
|
%bcond_with gloo
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|
%bcond_without mpi
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%bcond_without tensorpipe
|
|
%else
|
|
%bcond_with distributed
|
|
%endif
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|
|
|
# Do no confuse xnnpack versions
|
|
%if 0%{?fedora} > 40
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|
%bcond_without xnnpack
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|
%else
|
|
%bcond_with xnnpack
|
|
%endif
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|
|
%bcond_without pthreadpool
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|
%bcond_without pocketfft
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|
|
%ifarch x86_64
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%if %{with rocm}
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|
%bcond_with fbgemm
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%else
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|
%bcond_without fbgemm
|
|
%endif
|
|
%else
|
|
%bcond_with fbgemm
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|
%endif
|
|
|
|
# For testing cuda
|
|
%ifarch x86_64
|
|
%bcond_with cuda
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|
%endif
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|
|
|
# Pick a CUDA version that works
|
|
%global cuda_ver 12.5
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|
|
|
# For testing compat-gcc
|
|
%global compat_gcc_major 13
|
|
%bcond_with compat_gcc
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|
|
# Disable dwz with rocm because memory can be exhausted
|
|
%if %{with rocm}
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|
%define _find_debuginfo_dwz_opts %{nil}
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|
%endif
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|
|
|
%if %{with cuda}
|
|
# workaround problems with -pie
|
|
%global build_cxxflags %{nil}
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|
%global build_ldflags %{nil}
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|
%endif
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|
|
# These came in 2.4 and not yet in Fedora
|
|
%bcond_with opentelemetry
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|
%bcond_with httplib
|
|
%bcond_with kineto
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|
|
Name: python-%{pypi_name}
|
|
%if %{with gitcommit}
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Version: %{pypi_version}^git%{date0}.%{shortcommit0}
|
|
%else
|
|
Version: %{pypi_version}
|
|
%endif
|
|
Release: %autorelease
|
|
Summary: PyTorch AI/ML framework
|
|
# See license.txt for license details
|
|
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/
|
|
%if %{with gitcommit}
|
|
Source0: %{forgeurl}/archive/%{commit0}/pytorch-%{shortcommit0}.tar.gz
|
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Source1000: pyproject.toml
|
|
%else
|
|
Source0: %{forgeurl}/releases/download/v%{version}/pytorch-v%{version}.tar.gz
|
|
%endif
|
|
Source1: https://github.com/google/flatbuffers/archive/refs/tags/v23.3.3.tar.gz
|
|
Source2: https://github.com/pybind/pybind11/archive/refs/tags/v2.11.1.tar.gz
|
|
|
|
%if %{with cuda}
|
|
%global cuf_ver 1.1.2
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|
Source10: https://github.com/NVIDIA/cudnn-frontend/archive/refs/tags/v%{cuf_ver}.tar.gz
|
|
%global cul_ver 3.4.1
|
|
Source11: https://github.com/NVIDIA/cutlass/archive/refs/tags/v%{cul_ver}.tar.gz
|
|
%endif
|
|
|
|
# Developement on tensorpipe has stopped, repo made read only July 1, 2023, this is the last commit
|
|
%global tp_commit 52791a2fd214b2a9dc5759d36725909c1daa7f2e
|
|
%global tp_scommit %(c=%{tp_commit}; echo ${c:0:7})
|
|
Source20: https://github.com/pytorch/tensorpipe/archive/%{tp_commit}/tensorpipe-%{tp_scommit}.tar.gz
|
|
# The old libuv tensorpipe uses
|
|
Source21: https://github.com/libuv/libuv/archive/refs/tags/v1.41.0.tar.gz
|
|
# Developement afaik on libnop has stopped, this is the last commit
|
|
%global nop_commit 910b55815be16109f04f4180e9adee14fb4ce281
|
|
%global nop_scommit %(c=%{nop_commit}; echo ${c:0:7})
|
|
Source22: https://github.com/google/libnop/archive/%{nop_commit}/libnop-%{nop_scommit}.tar.gz
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|
|
|
%if %{without xnnpack}
|
|
%global xnn_commit fcbf55af6cf28a4627bcd1f703ab7ad843f0f3a2
|
|
%global xnn_scommit %(c=%{xnn_commit}; echo ${c:0:7})
|
|
Source30: https://github.com/google/xnnpack/archive/%{xnn_commit}/xnnpack-%{xnn_scommit}.tar.gz
|
|
%global fx_commit 63058eff77e11aa15bf531df5dd34395ec3017c8
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|
%global fx_scommit %(c=%{fx_commit}; echo ${c:0:7})
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|
Source31: https://github.com/Maratyszcza/fxdiv/archive/%{fx_commit}/FXdiv-%{fx_scommit}.tar.gz
|
|
%global fp_commit 0a92994d729ff76a58f692d3028ca1b64b145d91
|
|
%global fp_scommit %(c=%{fp_commit}; echo ${c:0:7})
|
|
Source32: https://github.com/Maratyszcza/FP16/archive/%{fp_commit}/FP16-%{fp_scommit}.tar.gz
|
|
%global ps_commit 072586a71b55b7f8c584153d223e95687148a900
|
|
%global ps_scommit %(c=%{ps_commit}; echo ${c:0:7})
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|
Source33: https://github.com/Maratyszcza/psimd/archive/%{ps_commit}/psimd-%{ps_scommit}.tar.gz
|
|
%global ci_commit 16bfc1622c6902d6f91d316ec54894910c620325
|
|
%global ci_scommit %(c=%{ci_commit}; echo ${c:0:7})
|
|
Source34: https://github.com/pytorch/cpuinfo/archive/%{ci_commit}/cpuinfo-%{ci_scommit}.tar.gz
|
|
%endif
|
|
|
|
%if %{without pthreadpool}
|
|
%global pt_commit 4fe0e1e183925bf8cfa6aae24237e724a96479b8
|
|
%global pt_scommit %(c=%{pt_commit}; echo ${c:0:7})
|
|
Source40: https://github.com/Maratyszcza/pthreadpool/archive/%{pt_commit}/pthreadpool-%{pt_scommit}.tar.gz
|
|
%endif
|
|
|
|
%if %{without pocketfft}
|
|
%global pf_commit 076cb3d2536b7c5d0629093ad886e10ac05f3623
|
|
%global pf_scommit %(c=%{pf_commit}; echo ${c:0:7})
|
|
Source50: https://github.com/mreineck/pocketfft/archive/%{pf_commit}/pocketfft-%{pf_scommit}.tar.gz
|
|
%endif
|
|
|
|
%if %{without opentelemetry}
|
|
%global ot_ver 1.14.2
|
|
Source60: https://github.com/open-telemetry/opentelemetry-cpp/archive/refs/tags/v%{ot_ver}.tar.gz
|
|
%endif
|
|
|
|
%if %{without httplib}
|
|
%global hl_commit 3b6597bba913d51161383657829b7e644e59c006
|
|
%global hl_scommit %(c=%{hl_commit}; echo ${c:0:7})
|
|
Source70: https://github.com/yhirose/cpp-httplib/archive/%{hl_commit}/cpp-httplib-%{hl_scommit}.tar.gz
|
|
%endif
|
|
|
|
%if %{without kineto}
|
|
%global ki_commit be1317644c68b4bfc4646024a6b221066e430031
|
|
%global ki_scommit %(c=%{ki_commit}; echo ${c:0:7})
|
|
Source80: https://github.com/pytorch/kineto/archive/%{ki_commit}/kineto-%{ki_scommit}.tar.gz
|
|
%endif
|
|
|
|
%if %{without gitcommit}
|
|
Patch0: 0001-no-third_party-foxi.patch
|
|
# https://github.com/pytorch/pytorch/pull/131282
|
|
Patch1: 0001-Add-cmake-option-USE_SYSTEM_FBGEMM.patch
|
|
|
|
%endif
|
|
|
|
|
|
%if %{with gitcommit}
|
|
Patch11: 0001-Improve-finding-and-using-the-rocm_version.h.patch
|
|
%endif
|
|
|
|
# ROCm patches
|
|
# Patches need to be refactored for ToT
|
|
# These are ROCm packages
|
|
%if %{without cuda}
|
|
# https://github.com/pytorch/pytorch/pull/120551
|
|
%if %{without hipblaslt}
|
|
Patch100: 0001-Optionally-use-hipblaslt.patch
|
|
%endif
|
|
Patch101: 0001-cuda-hip-signatures.patch
|
|
%if %{without gitcommit}
|
|
Patch102: 0001-silence-an-assert.patch
|
|
%endif
|
|
%if %{without gitcommit}
|
|
Patch105: 0001-disable-use-of-aotriton.patch
|
|
%endif
|
|
%endif
|
|
|
|
%if %{without gitcommit}
|
|
Patch106: 0001-include-fmt-ranges.h-for-using-fmt-join.patch
|
|
%endif
|
|
|
|
ExclusiveArch: x86_64 aarch64
|
|
%global toolchain gcc
|
|
%global _lto_cflags %nil
|
|
|
|
BuildRequires: cmake
|
|
BuildRequires: binutils-gold
|
|
BuildRequires: eigen3-devel
|
|
%if %{with fbgemm}
|
|
BuildRequires: asmjit-devel
|
|
BuildRequires: fbgemm-devel
|
|
%endif
|
|
BuildRequires: flexiblas-devel
|
|
BuildRequires: fmt-devel
|
|
%if %{with caffe2}
|
|
BuildRequires: foxi-devel
|
|
%endif
|
|
|
|
%if %{with compat_gcc}
|
|
BuildRequires: gcc%{compat_gcc_major}-c++
|
|
BuildRequires: gcc%{compat_gcc_major}-gfortran
|
|
%else
|
|
BuildRequires: gcc-c++
|
|
BuildRequires: gcc-gfortran
|
|
%endif
|
|
|
|
%if %{with distributed}
|
|
%if %{with gloo}
|
|
BuildRequires: gloo-devel
|
|
%endif
|
|
%endif
|
|
%if %{with gitcommit}
|
|
BuildRequires: json-devel
|
|
%endif
|
|
|
|
BuildRequires: libomp-devel
|
|
BuildRequires: numactl-devel
|
|
BuildRequires: ninja-build
|
|
BuildRequires: onnx-devel
|
|
%if %{with distributed}
|
|
%if %{with mpi}
|
|
BuildRequires: openmpi-devel
|
|
%endif
|
|
%endif
|
|
BuildRequires: protobuf-devel
|
|
BuildRequires: sleef-devel
|
|
BuildRequires: valgrind-devel
|
|
|
|
%if %{with pocketfft}
|
|
BuildRequires: pocketfft-devel
|
|
%endif
|
|
|
|
%if %{with pthreadpool}
|
|
BuildRequires: pthreadpool-devel
|
|
%endif
|
|
|
|
%if %{with xnnpack}
|
|
BuildRequires: cpuinfo-devel
|
|
BuildRequires: FP16-devel
|
|
BuildRequires: fxdiv-devel
|
|
BuildRequires: psimd-devel
|
|
BuildRequires: xnnpack-devel = 0.0^git20240814.312eb7e
|
|
%endif
|
|
|
|
BuildRequires: python3-devel
|
|
BuildRequires: python3dist(filelock)
|
|
BuildRequires: python3dist(jinja2)
|
|
BuildRequires: python3dist(networkx)
|
|
BuildRequires: python3dist(numpy)
|
|
BuildRequires: python3dist(pyyaml)
|
|
BuildRequires: python3dist(setuptools)
|
|
BuildRequires: python3dist(sphinx)
|
|
BuildRequires: python3dist(typing-extensions)
|
|
|
|
%if 0%{?fedora}
|
|
BuildRequires: python3-pybind11
|
|
BuildRequires: python3dist(fsspec)
|
|
BuildRequires: python3dist(sympy)
|
|
%endif
|
|
|
|
%if %{with rocm}
|
|
BuildRequires: hipblas-devel
|
|
%if %{with hipblaslt}
|
|
BuildRequires: hipblaslt-devel
|
|
%endif
|
|
BuildRequires: hipcub-devel
|
|
BuildRequires: hipfft-devel
|
|
BuildRequires: hiprand-devel
|
|
BuildRequires: hipsparse-devel
|
|
BuildRequires: hipsolver-devel
|
|
%if %{with magma}
|
|
BuildRequires: magma-devel
|
|
%endif
|
|
BuildRequires: miopen-devel
|
|
BuildRequires: rocblas-devel
|
|
BuildRequires: rocrand-devel
|
|
BuildRequires: rocfft-devel
|
|
%if %{with distributed}
|
|
%if %{with rccl}
|
|
BuildRequires: rccl-devel
|
|
%endif
|
|
%endif
|
|
BuildRequires: rocprim-devel
|
|
BuildRequires: rocm-cmake
|
|
BuildRequires: rocm-comgr-devel
|
|
BuildRequires: rocm-compilersupport-macros
|
|
BuildRequires: rocm-core-devel
|
|
BuildRequires: rocm-hip-devel
|
|
BuildRequires: rocm-runtime-devel
|
|
BuildRequires: rocm-rpm-macros
|
|
BuildRequires: rocm-rpm-macros-modules
|
|
BuildRequires: rocthrust-devel
|
|
BuildRequires: roctracer-devel
|
|
|
|
Requires: amdsmi
|
|
Requires: rocm-rpm-macros-modules
|
|
|
|
%endif
|
|
|
|
%if %{with cuda}
|
|
BuildRequires: cuda-cudart-devel-%{cuda_ver}
|
|
BuildRequires: libcublas-devel-%{cuda_ver}
|
|
BuildRequires: libcufft-devel-%{cuda_ver}
|
|
BuildRequires: libcurand-devel-%{cuda_ver}
|
|
BuildRequires: libcusparse-devel-%{cuda_ver}
|
|
%endif
|
|
|
|
%if %{with test}
|
|
BuildRequires: google-benchmark-devel
|
|
%endif
|
|
|
|
Requires: python3dist(dill)
|
|
|
|
%description
|
|
PyTorch is a Python package that provides two high-level features:
|
|
|
|
* Tensor computation (like NumPy) with strong GPU acceleration
|
|
* Deep neural networks built on a tape-based autograd system
|
|
|
|
You can reuse your favorite Python packages such as NumPy, SciPy,
|
|
and Cython to extend PyTorch when needed.
|
|
|
|
%package -n python3-%{pypi_name}
|
|
Summary: %{summary}
|
|
|
|
# For convience
|
|
Provides: pytorch
|
|
|
|
# Apache-2.0
|
|
Provides: bundled(flatbuffers) = 22.3.3
|
|
# MIT
|
|
Provides: bundled(miniz) = 2.1.0
|
|
Provides: bundled(pybind11) = 2.11.1
|
|
|
|
%if %{with tensorpipe}
|
|
# BSD-3-Clause
|
|
Provides: bundled(tensorpipe)
|
|
# Apache-2.0
|
|
Provides: bundled(libnop)
|
|
# MIT AND CC-BY-4.0 AND ISC AND BSD-2-Clause
|
|
Provides: bundled(libuv) = 1.41.0
|
|
%endif
|
|
|
|
# These are already in Fedora
|
|
%if %{without xnnpack}
|
|
# BSD-3-Clause
|
|
Provides: bundled(xnnpack)
|
|
# MIT
|
|
Provides: bundled(FP16)
|
|
# MIT
|
|
Provides: bundled(fxdiv)
|
|
# MIT
|
|
Provides: bundled(psimd)
|
|
# BSD-2-Clause
|
|
Provides: bundled(cpuinfo)
|
|
%endif
|
|
|
|
%if %{without pthreadpool}
|
|
# BSD-2-Clause
|
|
Provides: bundled(pthreadpool)
|
|
%endif
|
|
|
|
%if %{without pocketfft}
|
|
# BSD-3-Clause
|
|
Provides: bundled(pocketfft)
|
|
%endif
|
|
|
|
%description -n python3-%{pypi_name}
|
|
PyTorch is a Python package that provides two high-level features:
|
|
|
|
* Tensor computation (like NumPy) with strong GPU acceleration
|
|
* Deep neural networks built on a tape-based autograd system
|
|
|
|
You can reuse your favorite Python packages such as NumPy, SciPy,
|
|
and Cython to extend PyTorch when needed.
|
|
|
|
%if %{with cuda}
|
|
%package -n python3-%{pypi_name}-cuda-%{cuda_ver}
|
|
Summary: %{name} for CUDA
|
|
|
|
%description -n python3-%{pypi_name}-cuda-%{cuda_ver}
|
|
%{summary}
|
|
%endif
|
|
|
|
%package -n python3-%{pypi_name}-rocm-gfx9
|
|
Summary: %{name} for ROCm gfx9
|
|
|
|
%description -n python3-%{pypi_name}-rocm-gfx9
|
|
%{summary}
|
|
|
|
%if %{with test}
|
|
%package -n python3-%{pypi_name}-test
|
|
Summary: Tests for %{name}
|
|
Requires: python3-%{pypi_name}%{?_isa} = %{version}-%{release}
|
|
|
|
%description -n python3-%{pypi_name}-test
|
|
%{summary}
|
|
%endif
|
|
|
|
|
|
%prep
|
|
|
|
%if %{with gitcommit}
|
|
%autosetup -p1 -n pytorch-%{commit0}
|
|
# Overwrite with a git checkout of the pyproject.toml
|
|
cp %{SOURCE1000} .
|
|
|
|
%else
|
|
%autosetup -p1 -n pytorch-v%{version}
|
|
%endif
|
|
|
|
# Remove bundled egg-info
|
|
rm -rf %{pypi_name}.egg-info
|
|
|
|
tar xf %{SOURCE1}
|
|
rm -rf third_party/flatbuffers/*
|
|
cp -r flatbuffers-23.3.3/* third_party/flatbuffers/
|
|
|
|
tar xf %{SOURCE2}
|
|
rm -rf third_party/pybind11/*
|
|
cp -r pybind11-2.11.1/* third_party/pybind11/
|
|
|
|
%if %{with cuda}
|
|
tar xf %{SOURCE10}
|
|
rm -rf third_party/cudnn_frontend/*
|
|
cp -r cudnn-frontend-%{cuf_ver}/* third_party/cudnn_frontend/
|
|
tar xf %{SOURCE11}
|
|
rm -rf third_party/cutlass/*
|
|
cp -r cutlass-%{cul_ver}/* third_party/cutlass/
|
|
%endif
|
|
|
|
%if %{with tensorpipe}
|
|
tar xf %{SOURCE20}
|
|
rm -rf third_party/tensorpipe/*
|
|
cp -r tensorpipe-*/* third_party/tensorpipe/
|
|
tar xf %{SOURCE21}
|
|
rm -rf third_party/tensorpipe/third_party/libuv/*
|
|
cp -r libuv-*/* third_party/tensorpipe/third_party/libuv/
|
|
tar xf %{SOURCE22}
|
|
rm -rf third_party/tensorpipe/third_party/libnop/*
|
|
cp -r libnop-*/* third_party/tensorpipe/third_party/libnop/
|
|
%endif
|
|
|
|
%if %{without xnnpack}
|
|
tar xf %{SOURCE30}
|
|
rm -rf third_party/XNNPACK/*
|
|
cp -r XNNPACK-*/* third_party/XNNPACK/
|
|
tar xf %{SOURCE31}
|
|
rm -rf third_party/FXdiv/*
|
|
cp -r FXdiv-*/* third_party/FXdiv/
|
|
tar xf %{SOURCE32}
|
|
rm -rf third_party/FP16/*
|
|
cp -r FP16-*/* third_party/FP16/
|
|
tar xf %{SOURCE33}
|
|
rm -rf third_party/psimd/*
|
|
cp -r psimd-*/* third_party/psimd/
|
|
tar xf %{SOURCE34}
|
|
rm -rf third_party/cpuinfo/*
|
|
cp -r cpuinfo-*/* third_party/cpuinfo/
|
|
%endif
|
|
|
|
%if %{without pthreadpool}
|
|
tar xf %{SOURCE40}
|
|
rm -rf third_party/pthreadpool/*
|
|
cp -r pthreadpool-*/* third_party/pthreadpool/
|
|
%endif
|
|
|
|
%if %{without pocketfft}
|
|
tar xf %{SOURCE50}
|
|
rm -rf third_party/pocketfft/*
|
|
cp -r pocketfft-*/* third_party/pocketfft/
|
|
%endif
|
|
|
|
%if %{without opentelemtry}
|
|
tar xf %{SOURCE60}
|
|
rm -rf third_party/opentelemetry-cpp/*
|
|
cp -r opentelemetry-cpp-*/* third_party/opentelemetry-cpp/
|
|
%endif
|
|
|
|
%if %{without httplib}
|
|
tar xf %{SOURCE70}
|
|
rm -rf third_party/cpp-httplib/*
|
|
cp -r cpp-httplib-*/* third_party/cpp-httplib/
|
|
%endif
|
|
|
|
%if %{without kineto}
|
|
tar xf %{SOURCE80}
|
|
rm -rf third_party/kineto/*
|
|
cp -r kineto-*/* third_party/kineto/
|
|
%endif
|
|
|
|
# hipblaslt only building with gfx90a
|
|
%if %{with hipblaslt}
|
|
sed -i -e 's@"gfx90a", "gfx940", "gfx941", "gfx942"@"gfx90a"@' aten/src/ATen/native/cuda/Blas.cpp
|
|
%endif
|
|
|
|
%if 0%{?rhel}
|
|
# In RHEL but too old
|
|
sed -i -e '/typing-extensions/d' setup.py
|
|
# Need to pip these
|
|
sed -i -e '/sympy/d' setup.py
|
|
sed -i -e '/fsspec/d' setup.py
|
|
%endif
|
|
|
|
# A new dependency
|
|
# Connected to USE_FLASH_ATTENTION, since this is off, do not need it
|
|
sed -i -e '/aotriton.cmake/d' cmake/Dependencies.cmake
|
|
# Compress hip
|
|
sed -i -e 's@HIP_CLANG_FLAGS -fno-gpu-rdc@HIP_CLANG_FLAGS -fno-gpu-rdc --offload-compress@' cmake/Dependencies.cmake
|
|
|
|
# No third_party fmt, use system
|
|
sed -i -e 's@fmt::fmt-header-only@fmt@' CMakeLists.txt
|
|
sed -i -e 's@fmt::fmt-header-only@fmt@' c10/CMakeLists.txt
|
|
sed -i -e 's@fmt::fmt-header-only@fmt@' torch/CMakeLists.txt
|
|
sed -i -e 's@fmt::fmt-header-only@fmt@' cmake/Dependencies.cmake
|
|
%if %{with gitcommit}
|
|
sed -i -e 's@fmt::fmt-header-only@fmt@' caffe2/CMakeLists.txt
|
|
%endif
|
|
sed -i -e 's@add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)@#add_subdirectory(${PROJECT_SOURCE_DIR}/third_party/fmt)@' cmake/Dependencies.cmake
|
|
sed -i -e 's@set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES "")@#set_target_properties(fmt-header-only PROPERTIES INTERFACE_COMPILE_FEATURES "")@' cmake/Dependencies.cmake
|
|
sed -i -e 's@list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)@#list(APPEND Caffe2_DEPENDENCY_LIBS fmt::fmt-header-only)@' cmake/Dependencies.cmake
|
|
|
|
# No third_party FXdiv
|
|
%if %{with xnnpack}
|
|
sed -i -e 's@if(NOT TARGET fxdiv)@if(MSVC AND USE_XNNPACK)@' caffe2/CMakeLists.txt
|
|
sed -i -e 's@TARGET_LINK_LIBRARIES(torch_cpu PRIVATE fxdiv)@#TARGET_LINK_LIBRARIES(torch_cpu PRIVATE fxdiv)@' caffe2/CMakeLists.txt
|
|
%endif
|
|
|
|
# Disable the use of check_submodule's in the setup.py, we are a tarball, not a git repo
|
|
sed -i -e 's@check_submodules()$@#check_submodules()@' setup.py
|
|
|
|
# Release comes fully loaded with third party src
|
|
# Remove what we can
|
|
#
|
|
# For 2.1 this is all but miniz-2.1.0
|
|
# Instead of building as a library, caffe2 reaches into
|
|
# the third_party dir to compile the file.
|
|
# mimiz is licensed MIT
|
|
# https://github.com/richgel999/miniz/blob/master/LICENSE
|
|
mv third_party/miniz-2.1.0 .
|
|
#
|
|
# setup.py depends on this script
|
|
mv third_party/build_bundled.py .
|
|
|
|
# Need the just untarred flatbuffers/flatbuffers.h
|
|
mv third_party/flatbuffers .
|
|
|
|
mv third_party/pybind11 .
|
|
|
|
%if %{with cuda}
|
|
mv third_party/cudnn_frontend .
|
|
mv third_party/cutlass .
|
|
%endif
|
|
|
|
%if %{with tensorpipe}
|
|
mv third_party/tensorpipe .
|
|
%endif
|
|
|
|
%if %{without xnnpack}
|
|
mv third_party/XNNPACK .
|
|
mv third_party/FXdiv .
|
|
mv third_party/FP16 .
|
|
mv third_party/psimd .
|
|
mv third_party/cpuinfo .
|
|
%endif
|
|
|
|
%if %{without pthreadpool}
|
|
mv third_party/pthreadpool .
|
|
%endif
|
|
|
|
%if %{without pocketfft}
|
|
mv third_party/pocketfft .
|
|
%endif
|
|
|
|
%if %{without opentelemetry}
|
|
mv third_party/opentelemetry-cpp .
|
|
%endif
|
|
|
|
%if %{without httplib}
|
|
mv third_party/cpp-httplib .
|
|
%endif
|
|
|
|
%if %{without kineto}
|
|
mv third_party/kineto .
|
|
%endif
|
|
|
|
%if %{with test}
|
|
mv third_party/googletest .
|
|
%endif
|
|
|
|
# Remove everything
|
|
rm -rf third_party/*
|
|
# Put stuff back
|
|
mv build_bundled.py third_party
|
|
mv miniz-2.1.0 third_party
|
|
mv flatbuffers third_party
|
|
mv pybind11 third_party
|
|
|
|
%if %{with cuda}
|
|
mv cudnn_frontend third_party
|
|
mv cutlass third_party
|
|
%endif
|
|
|
|
%if %{with tensorpipe}
|
|
mv tensorpipe third_party
|
|
%endif
|
|
|
|
%if %{without xnnpack}
|
|
mv XNNPACK third_party
|
|
mv FXdiv third_party
|
|
mv FP16 third_party
|
|
mv psimd third_party
|
|
mv cpuinfo third_party
|
|
%endif
|
|
|
|
%if %{without pthreadpool}
|
|
mv pthreadpool third_party
|
|
%endif
|
|
|
|
%if %{without pocketfft}
|
|
mv pocketfft third_party
|
|
%endif
|
|
|
|
%if %{without opentelemetry}
|
|
mv opentelemetry-cpp third_party
|
|
%endif
|
|
|
|
%if %{without httplib}
|
|
mv cpp-httplib third_party
|
|
%endif
|
|
|
|
%if %{without kineto}
|
|
mv kineto third_party
|
|
%endif
|
|
|
|
%if %{with test}
|
|
mv googletest third_party
|
|
%endif
|
|
|
|
%if %{with pocketfft}
|
|
#
|
|
# Fake out pocketfft, and system header will be used
|
|
mkdir third_party/pocketfft
|
|
%endif
|
|
|
|
#
|
|
# 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
|
|
|
|
%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
|
|
# 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
|
|
|
|
%if %{with cuda}
|
|
|
|
# TBD
|
|
|
|
%endif
|
|
|
|
%build
|
|
|
|
#
|
|
# Control the number of jobs
|
|
#
|
|
# The build can fail if too many threads exceed the physical memory
|
|
# So count core and and memory and increase the build memory util the build succeeds
|
|
#
|
|
# Real cores, No hyperthreading
|
|
COMPILE_JOBS=`cat /proc/cpuinfo | grep -m 1 'cpu cores' | awk '{ print $4 }'`
|
|
if [ ${COMPILE_JOBS}x = x ]; then
|
|
COMPILE_JOBS=1
|
|
fi
|
|
# Take into account memmory usage per core, do not thrash real memory
|
|
%if %{with cuda}
|
|
BUILD_MEM=4
|
|
%else
|
|
BUILD_MEM=2
|
|
%endif
|
|
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
|
|
|
|
%if %{with compat_gcc}
|
|
export CC=%{_bindir}/gcc-%{compat_gcc_major}
|
|
export CXX=%{_bindir}/g++-%{compat_gcc_major}
|
|
export FC=%{_bindir}/gfortran-%{compat_gcc_major}
|
|
%endif
|
|
|
|
# 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
|
|
# CUDA is unhappy with pie, so do not use it
|
|
%if %{without cuda}
|
|
export CMAKE_EXE_LINKER_FLAGS=-pie
|
|
%endif
|
|
|
|
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
|
|
%if %{with fbgemm}
|
|
export USE_FBGEMM=ON
|
|
export USE_SYSTEM_FBGEMM=ON
|
|
%else
|
|
export USE_FBGEMM=OFF
|
|
%endif
|
|
export USE_FLASH_ATTENTION=OFF
|
|
export USE_GOLD_LINKER=ON
|
|
export USE_GLOO=OFF
|
|
export USE_ITT=OFF
|
|
export USE_KINETO=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
|
|
export USE_SYSTEM_ONNX=ON
|
|
export USE_SYSTEM_PYBIND11=OFF
|
|
export USE_SYSTEM_LIBS=OFF
|
|
export USE_TENSORPIPE=OFF
|
|
export USE_XNNPACK=ON
|
|
export USE_XPU=OFF
|
|
|
|
%if %{with pthreadpool}
|
|
export USE_SYSTEM_PTHREADPOOL=ON
|
|
%endif
|
|
|
|
%if %{with xnnpack}
|
|
export USE_SYSTEM_CPUINFO=ON
|
|
export USE_SYSTEM_FP16=ON
|
|
export USE_SYSTEM_FXDIV=ON
|
|
export USE_SYSTEM_PSIMD=ON
|
|
export USE_SYSTEM_XNNPACK=ON
|
|
%endif
|
|
|
|
%if %{with cuda}
|
|
%if %{without rocm}
|
|
export CPLUS_INCLUDE_PATH=/usr/local/cuda-%{cuda_ver}/include
|
|
export CUDACXX=/usr/local/cuda-%{cuda_ver}/bin/nvcc
|
|
export CUDA_HOME=/usr/local/cuda-%{cuda_ver}/
|
|
export USE_CUDA=ON
|
|
# The arches to build for
|
|
export TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0"
|
|
%endif
|
|
%endif
|
|
|
|
%if %{with distributed}
|
|
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
|
|
%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
|
|
%if %{with magma}
|
|
export USE_MAGMA=ON
|
|
%endif
|
|
export HIP_PATH=`hipconfig -p`
|
|
export ROCM_PATH=`hipconfig -R`
|
|
RESOURCE_DIR=`%{_libdir}/llvm%{rocmllvm_version}/bin/clang -print-resource-dir`
|
|
export DEVICE_LIB_PATH=${RESOURCE_DIR}/amdgcn/bitcode
|
|
|
|
# pytorch uses clang, not hipcc
|
|
LLVM_BINDIR=`llvm-config-%{rocmllvm_version} --bindir`
|
|
if [ ! -x ${LLVM_BINDIR}/clang ]; then
|
|
echo "Something wrong with llvm-config"
|
|
false
|
|
fi
|
|
export HIP_CLANG_PATH=${LLVM_BINDIR}
|
|
|
|
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 compat_gcc}
|
|
export CC=%{_bindir}/gcc%{compat_gcc_major}
|
|
export CXX=%{_bindir}/g++%{compat_gcc_major}
|
|
export FC=%{_bindir}/gfortran%{compat_gcc_major}
|
|
%endif
|
|
|
|
%if %{with rocm}
|
|
export USE_ROCM=ON
|
|
export HIP_PATH=`hipconfig -p`
|
|
export ROCM_PATH=`hipconfig -R`
|
|
RESOURCE_DIR=`%{_libdir}/llvm%{rocmllvm_version}/bin/clang -print-resource-dir`
|
|
export DEVICE_LIB_PATH=${RESOURCE_DIR}/amdgcn/bitcode
|
|
|
|
# pytorch uses clang, not hipcc
|
|
LLVM_BINDIR=`llvm-config-%{rocmllvm_version} --bindir`
|
|
if [ ! -x ${LLVM_BINDIR}/clang ]; then
|
|
echo "Something wrong with llvm-config"
|
|
false
|
|
fi
|
|
export HIP_CLANG_PATH=${LLVM_BINDIR}
|
|
|
|
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
|
|
|
|
# Do not remote the empty files
|
|
|
|
%if %{with cuda}
|
|
%files -n python3-%{pypi_name}-cuda-%{cuda_ver}
|
|
%else
|
|
%files -n python3-%{pypi_name}
|
|
%endif
|
|
%license LICENSE
|
|
%doc README.md
|
|
%{_bindir}/convert-caffe2-to-onnx
|
|
%{_bindir}/convert-onnx-to-caffe2
|
|
%{_bindir}/torchrun
|
|
%if %{with gitcommit}
|
|
%{_bindir}/torchfrtrace
|
|
%endif
|
|
%{python3_sitearch}/%{pypi_name}
|
|
%{python3_sitearch}/%{pypi_name}-*.egg-info
|
|
%{python3_sitearch}/functorch
|
|
%{python3_sitearch}/torchgen
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%if %{with rocm}
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%files -n python3-%{pypi_name}-rocm-gfx9
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%{_libdir}/rocm/gfx9/bin/*
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%{_libdir}/rocm/gfx9/lib64/*
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%endif
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%changelog
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%autochangelog
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