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ci/official/envs/disk_cache
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
calls.push_back(block_size); // Cache miss followed by cache hit. TF_EXPECT_OK(ReadCache(&cache, "", block_size, 1, &out)); TF_EXPECT_OK(ReadCache(&cache, "", block_size, 1, &out)); calls.push_back(2 * block_size); // Cache miss followed by cache hit. Causes eviction of LRU element. TF_EXPECT_OK(ReadCache(&cache, "", 2 * block_size, 1, &out));
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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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ci/official/bisect.sh
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tensorflow/c/eager/c_api_test.cc
TFE_ContextAddFunctionDef(ctx, function_def.data(), function_def.size(), status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); for (bool clear_cache : {true, false, true}) { if (clear_cache) { TFE_ContextClearCaches(ctx); } TFE_TensorHandle* m = TestMatrixTensorHandle(ctx); TFE_TensorHandle* retval[1] = {nullptr}; int num_retvals = 1;
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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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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
}); uint64_t stat_cache_max_age = kStatCacheDefaultMaxAge; size_t stat_cache_max_entries = kStatCacheDefaultMaxEntries; const char* stat_cache_max_age_env = std::getenv(kStatCacheMaxAge); if (stat_cache_max_age_env && absl::SimpleAtoi(stat_cache_max_age_env, &value)) { stat_cache_max_age = value; } const char* stat_cache_max_entries_env = std::getenv(kStatCacheMaxEntries);
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