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ci/official/requirements_updater/README.md
) ``` 4) Add the version to `SUPPORTED_VERSIONS` in `updater.sh`, and `release_updater.sh` 5) Run the `updater.sh` shell script. \ If the base requirements file hasn't yet been updated to account for the new Python version, which will require different versions for at least some dependencies, it will need to be updated now, for the script to run successfully.
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ci/official/envs/versions_upload
# pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse" TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
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CODE_OF_CONDUCT.md
## Conflict Resolution
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RELEASE.md
`RandomZoom`, `RandomContrast` * Improved **`TextVectorization`** layer, which handles string tokenization, n-gram generation, and token encoding * The `TextVectorization` layer now accounts for the mask_token as part of the vocabulary size when output_mode='int'. This means that, if you have a max_tokens value of 5000, your output will have 5000 unique values (not 5001 as before).
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ci/official/envs/nightly_upload
# pretend the path is a directory. # 1. Upload nightlies TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/nightly/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse" TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
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