commit b23320b121aa149160222c1c0992dc38cb0f01f9 · anil.recoil.org/opam-repository

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packages/arrayjit/arrayjit.0.3.3/opam

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       # This file is generated by dune, edit dune-project instead

     

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       opam-version: "2.0"

     

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       synopsis:

     

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         "An array language compiler with multiple backends (CPU, Cuda), staged compilation"

     

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       description:

     

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         "The optimizing compiler sub-package of OCANNL. Use OCANNL instead to also get: nice syntax, shape inference, backpropagation, optimizers."

     

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       maintainer: ["Lukasz Stafiniak"]

     

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       authors: ["Lukasz Stafiniak"]

     

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       license: "BSD-2-Clause"

     

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       tags: ["deeplearning" "array" "jit" "gccjit" "CUDA"]

     

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       homepage: "https://github.com/lukstafi/ocannl"

     

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       doc: "https://github.com/lukstafi/ocannl/blob/master/README.md"

     

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       bug-reports: "https://github.com/lukstafi/ocannl/issues"

     

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       depends: [

     

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         "ocaml" {>= "5.1.0"}

     

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         "dune" {>= "3.11"}

     

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         "base"

     

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         "core"

     

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         "ctypes" {>= "0.20"}

     

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         "ctypes-foreign" {>= "0.20"}

     

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         "gccjit" {>= "0.3.2"}

     

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         "printbox"

     

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         "printbox-text"

     

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         "ocannl_npy"

     

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         "stdio"

     

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         "num"

     

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         "ppxlib"

     

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         "ppx_jane"

     

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         "ppx_expect"

     

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         "ppx_minidebug" {>= "1.5"}

     

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         "odoc" {with-doc}

     

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       ]

     

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       depopts: ["cudajit"]

     

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       build: [

     

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         ["dune" "subst"] {dev}

     

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         [

     

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           "dune"

     

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           "build"

     

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           "-p"

     

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           name

     

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           "-j"

     

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           jobs

     

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           "@install"

     

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           "@runtest" {with-test}

     

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           "@doc" {with-doc}

     

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         ]

     

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       ]

     

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       dev-repo: "git+https://github.com/lukstafi/ocannl.git"

     

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       url {

     

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         src: "https://github.com/lukstafi/ocannl/archive/refs/tags/0.3.3.3.tar.gz"

     

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         checksum: [

     

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           "md5=9170d4d98422350c9a73a95adfb795dc"

     

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           "sha512=c1b024a69b1d0338af6e34508dbf6dccf3c2b6cc156e7628c3d7853c7040e225bdfc0a8731bb4db5a97edba90e26439987bfa505154d23af46f119c07ad809ed"

     

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         ]

     

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       }

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packages/neural_nets_lib/neural_nets_lib.0.3.3/opam

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       # This file is generated by dune, edit dune-project instead

     

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       opam-version: "2.0"

     

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       synopsis:

     

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         "A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax"

     

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       description:

     

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         "OCaml Compiles Algorithms for Neural Networks Learning is a compiled Deep Learning framework that puts emphasis on low-level backends (like TinyGrad), shape inference, concise notation (ab)using PPX."

     

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       maintainer: ["Lukasz Stafiniak"]

     

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       authors: ["Lukasz Stafiniak"]

     

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       license: "BSD-2-Clause"

     

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       tags: ["deeplearning" "tensor" "backprop" "jit" "gccjit" "CUDA"]

     

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       homepage: "https://github.com/lukstafi/ocannl"

     

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       doc: "https://github.com/lukstafi/ocannl/blob/master/README.md"

     

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       bug-reports: "https://github.com/lukstafi/ocannl/issues"

     

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       depends: [

     

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         "ocaml" {>= "5.1.0"}

     

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         "dune" {>= "3.11"}

     

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         "base"

     

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         "core"

     

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         "arrayjit"

     

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         "printbox"

     

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         "printbox-text"

     

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         "ocannl_npy"

     

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         "angstrom" {>= "0.15"}

     

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         "stdio"

     

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         "num"

     

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         "ppxlib"

     

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         "ppx_jane"

     

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         "ppx_expect"

     

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         "ppx_minidebug" {>= "1.5"}

     

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         "odoc" {with-doc}

     

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         "md2mld" {with-doc}

     

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       ]

     

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       build: [

     

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         ["dune" "subst"] {dev}

     

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         [

     

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           "dune"

     

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           "build"

     

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           "-p"

     

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           name

     

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           "-j"

     

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           jobs

     

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           "@install"

     

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           "@runtest" {with-test}

     

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           "@doc" {with-doc}

     

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         ]

     

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       ]

     

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       dev-repo: "git+https://github.com/lukstafi/ocannl.git"

     

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       url {

     

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         src: "https://github.com/lukstafi/ocannl/archive/refs/tags/0.3.3.3.tar.gz"

     

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         checksum: [

     

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           "md5=9170d4d98422350c9a73a95adfb795dc"

     

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           "sha512=c1b024a69b1d0338af6e34508dbf6dccf3c2b6cc156e7628c3d7853c7040e225bdfc0a8731bb4db5a97edba90e26439987bfa505154d23af46f119c07ad809ed"

     

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         ]

     

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       }

+38

packages/ocannl_npy/ocannl_npy.0.3.3/opam

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       # This file is generated by dune, edit dune-project instead

     

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       opam-version: "2.0"

     

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       synopsis: "Numpy file format support for ocaml"

     

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       maintainer: ["Lukasz Stafiniak <lukstafi@gmail.com>"]

     

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       authors: ["Laurent Mazare"]

     

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       license: "BSD-2-Clause"

     

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       homepage: "https://github.com/lukstafi/ocannl"

     

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       doc: "https://github.com/lukstafi/ocannl/blob/master/README.md"

     

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       bug-reports: "https://github.com/lukstafi/ocannl/issues"

     

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       depends: [

     

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         "ocaml" {>= "5.1.0"}

     

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         "camlzip"

     

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         "dune" {>= "3.11"}

     

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         "conf-python-3" {with-test}

     

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         "odoc" {with-doc}

     

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       ]

     

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       build: [

     

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         ["dune" "subst"] {dev}

     

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         [

     

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           "dune"

     

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           "build"

     

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           "-p"

     

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           name

     

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           "-j"

     

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           jobs

     

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           "@install"

     

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           "@runtest" {with-test}

     

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           "@doc" {with-doc}

     

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         ]

     

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       ]

     

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       dev-repo: "git+https://github.com/lukstafi/ocannl.git"

     

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       url {

     

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         src: "https://github.com/lukstafi/ocannl/archive/refs/tags/0.3.3.3.tar.gz"

     

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         checksum: [

     

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           "md5=9170d4d98422350c9a73a95adfb795dc"

     

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           "sha512=c1b024a69b1d0338af6e34508dbf6dccf3c2b6cc156e7628c3d7853c7040e225bdfc0a8731bb4db5a97edba90e26439987bfa505154d23af46f119c07ad809ed"

     

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         ]

     

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       }