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ci/official/wheel_test/README.md
``` #### Requirements Updater Script This script automates the process of updating TensorFlow requirements for a specific Python version. ##### Parameters `path_to_tensorflow_wheel`: The local path to the TensorFlow wheel file. Example: `/tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl` `python_version`: The target Python version, replacing `.` with `_`.
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ci/official/requirements_updater/README.md
While this isn't necessary for running the updater, it is required for actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions` parameter of the `python_register_multi_toolchains` function. 3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl",
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RELEASE.md
* Issues a warning when the `session_config` parameter for the TF1 converter is used or the `rewrite_config_template` field in the TF2 converter parameter object is used. ### TPU Enhancements: * Adds support for the `beta` parameter of the FTRL optimizer for TPU embeddings. Users of other TensorFlow platforms can implement equivalent behavior by adjusting the `l2` parameter. ### XLA Support:
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.bazelrc
# See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183. build:release_linux_base --copt=-Wno-gnu-offsetof-extensions build:release_linux_base --copt=-Wno-error=array-parameter build:release_linux_base --copt=-Wno-error=unused-command-line-argument # Set lld as the linker. build:release_linux_base --linkopt="-fuse-ld=lld" build:release_linux_base --linkopt="-lm"
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