Files
macports-ports/python/py-mesh-tensorflow/Portfile
T
Joshua Root a0692b4a51 python/py-[j-q]*: set github.tarball_from explicitly
In preparation for changing the default.
2025-01-27 04:13:32 +11:00

58 lines
2.3 KiB
Tcl

# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
PortSystem 1.0
PortGroup github 1.0
PortGroup python 1.0
github.setup tensorflow mesh 441ff477dcff8fc577eb59019007e55a278c87d6
# Change github.tarball_from to 'releases' or 'archive' next update
github.tarball_from tarball
# no tagged release; version from setup.py plus github commit date
version 0.1.18.20210305
revision 0
name py-${github.project}-${github.author}
platforms {darwin any}
supported_archs noarch
license Apache-2
maintainers nomaintainer
description Mesh TensorFlow - Model Parallelism Made Easier
long_description Mesh TensorFlow (mtf) is a language for distributed \
deep learning, capable of specifying a broad class \
of distributed tensor computations. The purpose of \
Mesh TensorFlow is to formalize and implement \
distribution strategies for your computation graph \
over your hardware/processors. For example: "Split \
the batch over rows of processors and split the \
units in the hidden layer across columns of \
processors." Mesh TensorFlow is implemented as a \
layer over TensorFlow.
distname ${github.project}-${github.author}-${version}
checksums rmd160 47fc56ab18d7cf0d397dc7a194a94663cae81851 \
sha256 57bbc4caa0958e879ed24a2dac679f257e28355a1f11f0f370708bb9b982c1d4 \
size 361646
python.versions 39
if {${name} ne ${subport}} {
depends_build-append \
port:py${python.version}-pytest-runner
depends_run-append \
port:py${python.version}-absl \
port:py${python.version}-future \
port:py${python.version}-gin-config \
port:py${python.version}-six
post-destroot {
set docdir ${prefix}/share/doc/${subport}
xinstall -d ${destroot}${docdir}
xinstall -m 0644 -W ${worksrcpath} LICENSE README.md \
${destroot}${docdir}
}
}