1# TFLite Support is a toolkit that helps users to develop ML and deploy TFLite
2# models onto mobile devices.
3
4package(
5    default_visibility = ["//visibility:private"],
6    licenses = ["notice"],  # Apache 2.0
7)
8
9exports_files(["LICENSE"])
10
11# LINT.IfChange
12package_group(
13    name = "users",
14    packages = [
15        # tensorflow_examples/... dep,
16        "//tensorflow_lite_support/...",
17        "//third_party/tensorflow_models/...",
18    ],
19)
20# Remove internal path from tensorflow_lite_support:users in the copybara file.
21# LINT.ThenChange(//tensorflow_lite_support/copy.bara.sky)
22
23# Config setting for determining if we are building for Android.
24config_setting(
25    name = "android",
26    values = {"crosstool_top": "//external:android/crosstool"},
27    visibility = ["//visibility:public"],
28)
29
30# Config setting for determining if we are building for macos.
31config_setting(
32    name = "macos",
33    values = {
34        "apple_platform_type": "macos",
35        "cpu": "darwin",
36    },
37    visibility = ["//visibility:public"],
38)
39