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SECURITY.md
in TensorFlow ops can be recognized as security issues only if they are reachable and exploitable through production-grade, benign models. ### Compilation Compiling models via the recommended entry points described in [XLA](https://www.tensorflow.org/xla) and [JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html) documentation should be safe, while some of the testing and debugging tools that
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ci/official/README.md
# Recommended: Configure Docker. (Linux only) # # TF uses hub.docker.com/r/tensorflow/build containers for CI, # and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI # variables in between script executions. To forcibly remove the
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RELEASE.md
* Fixes a OOB Read in GRUBlockCellGrad [CVE-2023-25658](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-25658) # Release 2.11.0 ## Breaking Changes * `tf.keras.optimizers.Optimizer` now points to the new Keras optimizer, and old optimizers have moved to the `tf.keras.optimizers.legacy` namespace. If you find your workflow failing due to this change, you may be facing one of the following issues:
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ci/official/utilities/code_check_full.bats
of dynamically. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" { for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g')
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.bazelrc
# We have some invalid linker scripts in the build, # so we need to disable this check build:release_linux_base --linkopt=-Wl,--undefined-version # Container environment settings below this point. # Use Python 3.X as installed in container image build:release_linux_base --action_env PYTHON_BIN_PATH="/usr/bin/python3" build:release_linux_base --action_env PYTHON_LIB_PATH="/usr/lib/tf_python"
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