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.gitignore
/tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace /*.podspec /tensorflow/lite/**/coreml/**/BUILD /tensorflow/lite/**/ios/BUILD /tensorflow/lite/**/objc/BUILD /tensorflow/lite/**/swift/BUILD
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SECURITY.md
in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow. These modifications and conversions are handled by a variety of libraries that have different security properties and provide different levels of confidence when dealing with untrusted data. Based on the security history of these libraries we consider that it is safe to work with untrusted inputs for PNG,
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ci/official/containers/linux_arm64/devel.packages.txt
libssl-dev libtool libxml2-dev libxslt1-dev libzmq3-dev mlocate moreutils openjdk-11-jdk openjdk-11-jre-headless openssl patchelf pkg-config python3-dev python3-setuptools rsync software-properties-common sudo swig unzip vim wget zip
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RELEASE.md
file is a protobuf containing the "fingerprint" of the SavedModel. See the [RFC](https://github.com/tensorflow/community/pull/415) for more details regarding its design and properties. * `tf.data`: * Graduated experimental APIs:
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