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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_cc_test( name = "parallel_device_remote_test", srcs = ["parallel_device_remote_test.cc"], # TODO(b/136478427): Enable global heap checking when servers shut down # cleanly. args = ["--heap_check="], deps = [ ":parallel_device",
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ci/official/README.md
# Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache, # and will also try using public build cache results to speed up # your builds. This usually saves a lot of time, especially when
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ci/official/envs/public_cache_push
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Sourcing this enables Bazel remote cache (read and write) # Note that "_push" cache configs write to GCS buckets and require # authentication. If you are not a Googler, source "public_cache" to enable the # public read-only cache.
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false # Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set
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ci/official/envs/public_cache
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Sourcing this enables Bazel remote cache (public, read-only) # The cache configs are different for MacOS and Linux if [[ $(uname -s) == "Darwin" ]]; then TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache" else
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