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ci/official/envs/disk_cache
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache_test.cc
tf_gcs_filesystem::ExpiringLRUCache<int> cache(1, 4); cache.Insert("a", 1); cache.Insert("b", 2); cache.Insert("c", 3); cache.Insert("d", 4); int value = 0; EXPECT_TRUE(cache.Lookup("a", &value)); EXPECT_EQ(value, 1); EXPECT_TRUE(cache.Lookup("b", &value)); EXPECT_EQ(value, 2); EXPECT_TRUE(cache.Lookup("c", &value)); EXPECT_EQ(value, 3); EXPECT_TRUE(cache.Lookup("d", &value));
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # 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
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.gitignore
.DS_Store .ipynb_checkpoints node_modules /.bazelrc.user /.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp
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ci/official/bisect.sh
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
auto it = cache_.find(key); if (it == cache_.end()) { return false; } lru_list_.erase(it->second.lru_iterator); cache_.erase(it); return true; } /// The maximum age of entries in the cache, in seconds. A value of 0 means /// that no entry is ever placed in the cache. const uint64_t max_age_; /// The maximum number of entries in the cache. A value of 0 means there is no
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ci/official/envs/public_cache_push
# 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. # 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_push" else
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # 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
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ci/official/README.md
# Ex. macos_arm64 -- arm64 MacOS platform # 3. Add modifiers. Some modifiers for local execution are: # Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only) # Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only) # Ex. rbe -- Use RBE for faster builds (Googlers only; see below)
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ci/official/containers/linux_arm64/setup.python.sh
/usr/bin/$VERSION get-pip.py /usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip # Disable the cache dir to save image space, and install packages
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