39 lines
1.0 KiB
Python
39 lines
1.0 KiB
Python
# TFLite Support is a toolkit that helps users to develop ML and deploy TFLite
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# models onto mobile devices.
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package(
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default_visibility = ["//visibility:private"],
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licenses = ["notice"], # Apache 2.0
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)
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exports_files(["LICENSE"])
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# LINT.IfChange
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package_group(
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name = "users",
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packages = [
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# tensorflow_examples/... dep,
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"//tensorflow_lite_support/...",
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"//third_party/tensorflow_models/...",
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],
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)
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# Remove internal path from tensorflow_lite_support:users in the copybara file.
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# LINT.ThenChange(//tensorflow_lite_support/copy.bara.sky)
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# Config setting for determining if we are building for Android.
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config_setting(
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name = "android",
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values = {"crosstool_top": "//external:android/crosstool"},
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visibility = ["//visibility:public"],
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)
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# Config setting for determining if we are building for macos.
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config_setting(
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name = "macos",
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values = {
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"apple_platform_type": "macos",
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"cpu": "darwin",
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},
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visibility = ["//visibility:public"],
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)
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