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.github/ISSUE_TEMPLATE/tflite-other.md
false - type: input id: Mobile attributes: label: Mobile device description: placeholder: e.g., Linux Ubuntu 16.04 validations: required: false - type: input id: Python attributes: label: Python version description: placeholder: e.g., 3.9 validations: required: false - type: input id: Bazel attributes: label: Bazel version description: if
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SECURITY.md
Therefore, if you run a `tf.train.Server` in your network, anybody with access to the network can execute arbitrary code with the privileges of the user running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate
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