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ci/official/containers/linux_arm64/ld.so.conf
TensorFlower Gardener <******@****.***> 1695063637 -0700
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ci/official/envs/rbe
EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel # inside the container can authenticate. Note: TF's CI does not have any credential # stored here.
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.github/ISSUE_TEMPLATE/tflite-other.md
- type: textarea id: logs attributes: label: Relevant log output description: Please copy and paste any relevant log output. This will be automatically
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tensorflow/c/eager/parallel_device/BUILD
licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], ) filegroup( name = "lib_sources",
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ci/official/README.md
# public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove # disk_cache, public_cache, and public_cache_push from your $TFCI file. # # To use RBE, you must first run `gcloud auth application-default login`, then: export TFCI=py311,linux_x86,rbe
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
do_external_licenses_check \ "//tensorflow:libtensorflow.so" \ "//tensorflow/tools/lib_package:clicenses_generate" } @test "Java library generated license includes all dependencies' licenses" { do_external_licenses_check \ "//tensorflow/java:libtensorflow_jni.so" \ "//tensorflow/tools/lib_package:jnilicenses_generate" }
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CONTRIBUTING.md
These are issues that we believe are particularly well suited for outside contributions, often because we probably won't get to them right now. If you decide to start on an issue, leave a comment so that other people know that you're working on it. If you want to help out, but not alone, use the issue comment thread to coordinate. ### Contribution guidelines and standards Before sending your pull request for
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tensorflow/BUILD
# kernels. Does not include the implementations of any ops or kernels. Instead, # the library which loads libtensorflow_framework.so # (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C # API) is responsible for registering ops with libtensorflow_framework.so. In # addition to this core set of ops, user libraries which are loaded (via
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ci/official/containers/linux_arm64/Dockerfile
COPY builder.devtoolset/gcc9-fixups.patch /gcc9-fixups.patch COPY builder.devtoolset/stringop_trunc.patch /stringop_trunc.patch RUN /build_devtoolset.sh devtoolset-10 /dt10 # Build later version of patchelf that is not so buggy COPY builder.patchelf/build_patchelf.sh /build_patchelf.sh COPY apt.conf /etc/apt/ RUN /build_patchelf.sh ################################################################################
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SECURITY.md
users are aware of the security risks detailed here and that they are going to be practically running code provided by other users. Currently there are no good ways to detect malicious models/graphs/checkpoints, so the recommended way to mitigate the risk in this scenario is to sandbox the model execution. ### Hardware attacks Physical GPUs or TPUs can also be the target of attacks. [Published
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