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ci/official/wheel_test/README.md
[requirements updater readme](https://github.com/tensorflow/tensorflow/blob/master/ci/official/requirements_updater/README.md) ### Prerequisites for Local Testing To run tests locally, follow these steps: 1. Navigate to the relevant directory: ``` cd ci/official/wheel_test ``` 2. Run a script for creating requirements file: ``` bash update_requirements.sh <path_to_tensorflow_wheel> <python_version> e.g.:
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README.md
desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts. * Run TensorFlow tests and ensure they pass. * [Build](https://www.tensorflow.org/install/source) the TensorFlow pip package from source. ## Continuous build status
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ci/official/README.md
TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - Nightly jobs (Run nightly on the `nightly` branch) - Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh` - Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh`
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tensorflow/c/experimental/ops/README.md
autogenerated from the registered Op and API definitions. To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with no arguments. This script will overwrite the existing ops in-place at ***tensorflow/c/experimental/ops/\*_ops.{cc,h}***. Run this `update_cpp_ops.sh` script when Op definitions change in the registry.
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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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