# -*- 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
# 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}
    }
}