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SECURITY.md
some form of isolation when dealing with untrusted data. As a result, this document also outlines what issues we consider as TensorFlow security vulnerabilities. We recognize issues as vulnerabilities only when they occur in scenarios that we outline as safe; issues that have a security impact only when TensorFlow is used in a discouraged way (e.g. running untrusted models or checkpoints, data parsing
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
typedef struct TF_TransactionToken { void* token; TF_Filesystem* owner; } TF_TransactionToken; // The named union is needed here (as opposed to // inside the `TF_Filesystem_Option_Value` struct) // as MSVC does not recognize `typeof`. typedef union TF_Filesystem_Option_Value_Union { int64_t int_val; double real_val; struct { char* buf; int buf_length; } buffer_val; } TF_Filesystem_Option_Value_Union;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
RELEASE.md
`tf.keras.optimizer.legacy.XXX`. If you want to migrate to the new optimizer and find it does not support your optimizer, please file an issue in the Keras GitHub repo. * **Error such as `Cannot recognize variable...`.** The new optimizer requires all optimizer variables to be created at the first `apply_gradients()` or `minimize()` call. If your workflow calls
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