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ci/README.md
> place. Maintainer: TensorFlow DevInfra ******************************************************************************** The CI folder contains the configuration files and scripts used to build, test, and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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README.md
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working within the Machine Intelligence team at Google Brain to conduct research in machine
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ci/official/README.md
# Ex. 1: TFCI=py311,linux_x86_cuda,nightly_upload (nightly job) # Ex. 2: TFCI=py39,linux_x86,rbe (continuous job) # Non-Googlers should replace "nightly_upload" or "rbe" with # "public_cache,disk_cache". # Googlers should replace "nightly_upload" with "public_cache,disk_cache" or # "rbe", if you have set up your system to use RBE (see further below). # # Here is how to choose your TFCI value:
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