package neural_nets_lib

  1. Overview
  2. Docs
A from-scratch Deep Learning framework with an optimizing compiler, shape inference, concise syntax

Install 

dune-project
 Dependency

github.com Readme Changelog Edit opam file Versions (6)

Authors

  1. L
    Lukasz Stafiniak

Maintainers

  1. L
    Lukasz Stafiniak <lukstafi@gmail.com>

Sources

0.6.1.2.tar.gz
md5=529f0921963a6eee0194159a9c0fea41
sha512=fc16e8b6cd72cb2ae18277b3727d065fa6c1d137e3187f9586fb0bfe7edeb45597cb58f389e79c20d7e3ae80661e6f9f20e0b95dcbbf27ee5688bcc571d395dd

doc/src/ppx_ocannl/ppx_ocannl.ml.html

Source file ppx_ocannl.ml

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open Base
open Ppxlib

let rules =
  [
    Ppxlib.Context_free.Rule.extension
    @@ Extension.declare "cd" Extension.Context.expression Ast_pattern.(single_expr_payload __)
    @@ Ppx_cd.expr_expander;
    Ppxlib.Context_free.Rule.extension
    @@ Extension.declare "cd" Extension.Context.structure_item
         Ast_pattern.(pstr __)
         Ppx_cd.str_expander;
    Ppxlib.Context_free.Rule.extension
    @@ Extension.declare "op" Extension.Context.expression
         Ast_pattern.(single_expr_payload __)
         Ppx_op.expr_expander;
    Ppxlib.Context_free.Rule.extension
    @@ Extension.declare "op" Extension.Context.structure_item
         Ast_pattern.(pstr __)
         Ppx_op.str_expander;
  ]

let () = Driver.register_transformation ~rules "ppx_ocannl"