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.github/workflows/update-rbe.yml
# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl # to reference the most recent versions of the SIG Build Docker images. name: Update RBE Configs on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks steps: - name: Checkout code
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.bazelrc
# rbe_base: General RBE options shared by all flavors. # rbe_linux: General RBE options used on all linux builds. # rbe_win: General RBE options used on all windows builds. # # rbe_linux_cpu: RBE options to build with only CPU support. # rbe_linux_cuda: RBE options to build with GPU support using clang.
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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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ci/official/any.sh
# export TF_ANY_SCRIPT=ci/official/wheel.sh # ./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 "$0")/../../" # tensorflow/
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ci/official/utilities/setup_macos.sh
# VMs. export CLOUDSDK_PYTHON=$(which python3.11) gcloud auth activate-service-account --key-file="${GOOGLE_APPLICATION_CREDENTIALS}" fi set -x # When cross-compiling with RBE, we need to copy the macOS sysroot to be # inside the TensorFlow root directory. We then define them as a filegroup # target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
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