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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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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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.bazelrc
# rbe_base: General RBE options shared by all flavors. # rbe_linux: General RBE options used on all linux builds. # rbe_win_base: General RBE options used on all Windows builds. Not to be used standalone. # rbe_win_clang: Options specific to compiling using Clang. # # rbe_linux_cpu: RBE options to build with only CPU support.
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ci/official/envs/versions_upload
# limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
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