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ci/official/README.md
# Official CI Directory Maintainer: TensorFlow and TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
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README.md
[![TF Official Continuous](https://tensorflow.github.io/build/TF%20Official%20Continuous.svg)](https://tensorflow.github.io/build#TF%20Official%20Continuous) [![TF Official Nightly](https://tensorflow.github.io/build/TF%20Official%20Nightly.svg)](https://tensorflow.github.io/build#TF%20Official%20Nightly) **`Documentation`** | ------------------- |
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ci/official/any.sh
# # 3. DO THE SAME WITH A LOCAL CACHE OR RBE: # export TF_ANY_EXTRA_ENV=ci/official/envs/public_cache,ci/official/envs/disk_cache # ... # ./any.sh # or # export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe # ./any.sh # ... set -euxo pipefail cd "$(dirname "$0")/../../" # tensorflow/ # Any request that includes "nightly_upload" should just use the
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ci/official/bisect.sh
# TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g. # ci/official/envs/an_env_config # # Note that you can combine bisect.sh with any.sh to bisect a single test: # # export TFCI=... # export TF_BISECT_SCRIPT=ci/official/any.sh # export TF_BISECT_GOOD=a_good_commit_sha # export TF_BISECT_BAD=a_failing_commit_sha
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ci/official/utilities/setup.sh
export -p | grep TFCI > "$FROM_ENV" # Source the default ci values source ./ci/official/envs/ci_default # TODO(angerson) write this documentation # Sources every env, in order, from the comma-separated list "TFCI" # Assumes variables will resolve themselves correctly. set +u for env_file in ${TFCI//,/ }; do source "./ci/official/envs/$env_file" done set -u
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ci/official/wheel_test/README.md
[requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see [requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing
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guava-tests/test/com/google/common/hash/MessageDigestHashFunctionTest.java
new ImmutableMap.Builder<String, HashFunction>() .put("MD5", Hashing.md5()) .put("SHA", Hashing.sha1()) // Not the official name, but still works .put("SHA1", Hashing.sha1()) // Not the official name, but still works .put("sHa-1", Hashing.sha1()) // Not the official name, but still works .put("SHA-1", Hashing.sha1()) .put("SHA-256", Hashing.sha256())
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.github/workflows/osv-scanner-scheduled.yml
--lockfile=requirements.txt:./requirements_lock_3_12.txt --lockfile=requirements.txt:./ci/official/containers/linux_arm64/devel.requirements.txt --lockfile=requirements.txt:./ci/official/containers/linux_arm64/jax.requirements.txt
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docs/en/docs/deployment/docker.md
In those cases, you can use the **official Docker image** that includes **Gunicorn** as a process manager running multiple **Uvicorn worker processes**, and some default settings to adjust the number of workers based on the current CPU cores automatically. I'll tell you more about it below in [Official Docker Image with Gunicorn - Uvicorn](#official-docker-image-with-gunicorn-uvicorn).
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CODE_OF_CONDUCT.md
on tensorflow.org, TensorFlow’s GitHub organization, or any other official TensorFlow web presence allowing for community interactions, as well as at all official TensorFlow events, whether offline or online. The Code of Conduct also applies within project spaces and in public spaces whenever an individual is representing TensorFlow or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account,...
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