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SECURITY.md
come with the compiler are not designed to be used with untrusted data and should be used with caution when working with untrusted models. ### Saved graphs and checkpoints When loading untrusted serialized computation graphs (in form of a `GraphDef`, `SavedModel`, or equivalent on-disk format), the set of computation primitives available to TensorFlow is powerful enough that you should assume that the TensorFlow process effectively executes arbitrary code.
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CONTRIBUTING.md
you, it may be us who may have hit a snag. Please be patient while we work to fix this. - Once the internal tests pass, we go ahead and merge the code internally as well as externally on GitHub. In a graphical form, the entire lifetime of a PR looks like ![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3) ### Contributor License Agreements
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RELEASE.md
* Update docstring for gather to properly describe the non-empty `batch_dims` case. * Added `tf.sparse.from_dense` utility function. * Improved ragged tensor support in `TensorFlowTestCase`. * Makes the a-normal form transformation in Pyct configurable as to which nodes are converted to variables and which are not. * `ResizeInputTensor` now works for all delegates. * Add `EXPAND_DIMS` support to NN API delegate TEST: expand_dims_test
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.bazelrc
# Enable the runfiles symlink tree on Windows. This makes it possible to build # the pip package on Windows without an intermediate data-file archive, as the # build_pip_package script in its current form (as of Aug 2023) uses the # runfiles symlink tree to decide what to put into the Python wheel. startup --windows_enable_symlinks build:windows --enable_runfiles # Default paths for TF_SYSTEM_LIBS
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