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ci/official/README.md
export TFCI=py311,linux_x86,public_cache,disk_cache # 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
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CONTRIBUTING.md
test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799). 2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts. ```bash
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SECURITY.md
inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape inference functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface) are skipped, and any checks implemented inside the shape inference code are not executed. The security impact of skipping those checks should be low, since the attack
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RELEASE.md
optimizer. * **Learning rate schedule access.** When using a `LearningRateSchedule`, The new optimizer's `learning_rate` property returns the current learning rate value instead of a `LearningRateSchedule` object as before. If you need to access the `LearningRateSchedule` object, please use `optimizer._learning_rate`.
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tensorflow/BUILD
# ------------------------------------------- # TensorFlow uses several libraries that may also be used by applications # linking against the C and C++ APIs (such as libjpeg). When we create # the shared library, only export the core TF API functions to avoid # causing library conflicts (e.g., those reported in github issue 1924). # On Linux, tell the linker (-Wl,<option>) to use a version script that
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.bazelrc
# Configure short or long logs build:short_logs --output_filter=DONT_MATCH_ANYTHING build:verbose_logs --output_filter= # Instruction set optimizations # TODO(gunan): Create a feature in toolchains for avx/avx2 to # avoid having to define linux/win separately. build:avx_linux --copt=-mavx build:avx_linux --host_copt=-mavx build:avx_win --copt=/arch:AVX
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