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| author | Adam J. Stewart <ajstewart426@gmail.com> | 2021-06-16 08:37:44 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-06-16 07:37:44 -0600 |
| commit | 38088dd89860e094723c1d0fee92e43afceeef12 (patch) | |
| tree | 3e778bee8976f27700d0d77d47a914209574e0ac | |
| parent | 4f4045480025f0d2102567061494b37587d0de57 (diff) | |
| download | spack-38088dd89860e094723c1d0fee92e43afceeef12.tar.gz spack-38088dd89860e094723c1d0fee92e43afceeef12.tar.bz2 spack-38088dd89860e094723c1d0fee92e43afceeef12.tar.xz spack-38088dd89860e094723c1d0fee92e43afceeef12.zip | |
FBGEMM: add new package (#24318)
| -rw-r--r-- | var/spack/repos/builtin/packages/fbgemm/package.py | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/fbgemm/package.py b/var/spack/repos/builtin/packages/fbgemm/package.py new file mode 100644 index 0000000000..16ac75611f --- /dev/null +++ b/var/spack/repos/builtin/packages/fbgemm/package.py @@ -0,0 +1,38 @@ +# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other +# Spack Project Developers. See the top-level COPYRIGHT file for details. +# +# SPDX-License-Identifier: (Apache-2.0 OR MIT) + +from spack import * + + +class Fbgemm(CMakePackage): + """FBGEMM (Facebook GEneral Matrix Multiplication) is a low-precision, + high-performance matrix-matrix multiplications and convolution library + for server-side inference.""" + + homepage = "https://github.com/pytorch/FBGEMM" + git = "https://github.com/pytorch/FBGEMM.git" + + maintainers = ['dskhudia'] + + version('master', branch='master', submodules=True) + version('2021-05-10', commit='7794b2950b35ddfa7426091e7fb2f991b1407557', submodules=True) # py-torch@1.9 + version('2020-11-13', commit='9b0131179f293a645bfd3409cd66fa5eecc393b0', submodules=True) # py-torch@1.8 + version('2020-09-14', commit='1d710393d5b7588f5de3b83f51c22bbddf095229', submodules=True) # py-torch@1.7 + version('2020-05-31', commit='7d673046a6a3ad1fa0d15dfb189cd06ffa217041', submodules=True) # py-torch@1.6 + version('2020-05-21', commit='e526aadd058f2a0b8ce738be022e0e4ab4233a2d', submodules=True) # py-torch@1.5.1 + version('2020-03-22', commit='58c002d1593f32aa420ab56b5c344e60d3fb6d05', submodules=True) # py-torch@1.5.0 + version('2019-11-20', commit='399ea148f1403c100e6d601ec3587a621de96a84', submodules=True) # py-torch@1.4 + version('2019-09-26', commit='7dfeddb5ba976f47471275b2468909dfd9b577e1', submodules=True) # py-torch@1.3 + version('2019-07-22', commit='f712cb2328a2b29424bdaeecb9c0731da2cd997b', submodules=True) # py-torch@1.2 + version('2019-04-18', commit='6ec218e6ed5dcb9b5397a608a3b5b8027b236819', submodules=True) # py-torch@1.1 + version('2019-01-23', commit='79333308f5e2fc242727879dcd3de3536b6ffc39', submodules=True) # py-torch@1.0.1 + version('2018-12-04', commit='0d5a159b944252e70a677236b570f291943e0543', submodules=True) # py-torch@1.0.0 + + depends_on('cmake@3.5:', type='build') + depends_on('ninja', type='build') + depends_on('python', type='build') + depends_on('llvm-openmp', when='%apple-clang') + + generator = 'Ninja' |