2021-03-25 18:05:36 -04:00
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# -*- 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
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PortSystem 1.0
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PortGroup github 1.0
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PortGroup python 1.0
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github.setup pytorch audio 0.8.1 v
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2021-04-05 14:59:15 +01:00
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revision 1
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2021-03-25 18:05:36 -04:00
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name py-torchaudio
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categories-append audio
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platforms darwin
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license BSD
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maintainers nomaintainer
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fetch.type git
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description Data manipulation and transformation for audio \
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signal processing, powered by PyTorch
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long_description The aim of torchaudio is to apply PyTorch to the \
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audio domain. By supporting PyTorch, torchaudio \
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follows the same philosophy of providing strong \
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GPU acceleration, having a focus on trainable \
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features through the autograd system, and having \
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consistent style (tensor names and dimension \
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names). Therefore, it is primarily a machine \
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learning library and not a general signal \
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processing library. The benefits of PyTorch can be \
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seen in torchaudio through having all the \
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computations be through PyTorch operations which\
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makes it easy to use and feel like a natural \
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extension.
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checksums rmd160 fe693d72d64b1a651351619aae0a58106bbd9ce3 \
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sha256 c0ae4b1573526d8b04e581393dec74bd31b999a34f377595aecdeef766d79f48 \
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size 3503436
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python.versions 37 38 39
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if {${name} ne ${subport}} {
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depends_build-append \
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2021-03-29 10:10:13 -04:00
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port:cmake \
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port:ninja \
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2021-03-25 18:05:36 -04:00
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port:py${python.version}-setuptools
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depends_lib-append \
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port:py${python.version}-pytorch \
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port:sox
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depends_test-append \
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port:py${python.version}-pytest
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post-fetch {
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system -W ${worksrcpath} "git submodule update --init --recursive"
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}
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post-destroot {
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set docdir ${prefix}/share/doc/${subport}
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xinstall -d ${destroot}${docdir}
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xinstall -m 0644 -W ${worksrcpath} LICENSE README.md \
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${destroot}${docdir}
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}
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test.run yes
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test.cmd py.test-${python.branch}
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test.env PYTHONPATH=${worksrcpath}/build/lib
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livecheck.type none
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}
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