package neural_nets_lib

You can search for identifiers within the package.

in-package search v0.2.0

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 (5)

Authors

L

Lukasz Stafiniak

Maintainers

L

Lukasz Stafiniak <lukstafi@gmail.com>

Sources

0.6.0.4.tar.gz

md5=5beaaa0b377bec3badffffbf9f4dec4a

sha512=a37a67452746143f0f5ba2e81f98d6fed31fb4397e0a85f4a35aedc805b4e0405ea89d465c6f80941c465fb61d5d6119806cb73b5c5ead925797eb80d19c5ade

doc/src/ppx_ocannl/ppx_ocannl.ml.html

Source file `ppx_ocannl.ml`

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
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"