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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/...,
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ci/official/README.md
1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
block_size, block_count * block_size, 0, fetcher); std::vector<char> out; // Read blocks from the cache, and verify the LRU behavior based on the // fetcher calls that the cache makes. calls.push_back(0); // Cache miss - drains an element from `calls`. TF_EXPECT_OK(ReadCache(&cache, "", 0, 1, &out)); // Cache hit - does not drain an element from `calls`.
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/...,
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
(almost) opaque type for the user level programs. The file and this data structure is not standardized. Don't rely on it. It can @@ -41,4 +44,6 @@ typedef struct __locale_struct /* POSIX 2008 makes locale_t official. */ typedef __locale_t locale_t; +#endif /* bits/types/__locale_t.h */ + #endif /* xlocale.h */ diff --git a/misc/sys/cdefs.h b/misc/sys/cdefs.h index d1cb3dd..30482a1 100644
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ci/official/upload.sh
# "/path/bar". This script uses "gsutil rsync" instead, which acts on directory # contents. About arguments to gsutil: # "gsutil -m rsync" runs in parallel. # "gsutil rsync -r" is recursive and makes directories work. # "gsutil rsync -d" is "sync and delete files from destination if not present in source" DOWNLOADS="$(mktemp -d)" mkdir -p "$DOWNLOADS" gsutil -m rsync -r "$TFCI_ARTIFACT_STAGING_GCS_URI" "$DOWNLOADS"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 24 20:52:12 GMT 2024 - 2.8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
cat <<EOF Please rename files so there are no repeats. For example, README.md and Readme.md would be the same file on Windows. In this test, you would get a warning for "readme.md" because it makes everything lowercase. There are repeats of these filename(s) with different casing: EOF find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats [[ ! -s $BATS_FILE_TMPDIR/repeats ]] }
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
// in order to update them as appropriate. auto new_entry = std::make_shared<Block>(); lru_list_.push_front(key); lra_list_.push_front(key); new_entry->lru_iterator = lru_list_.begin(); new_entry->lra_iterator = lra_list_.begin(); new_entry->timestamp = timer_seconds_(); block_map_.emplace(std::make_pair(key, new_entry)); return new_entry; }
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.gitignore
.idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
auto file = std::make_unique<TF_RandomAccessFile>(); std::string translated_name = TranslateName(fname); ops_->new_random_access_file(filesystem_.get(), translated_name.c_str(), file.get(), plugin_status.get()); if (TF_GetCode(plugin_status.get()) == TF_OK) *result = std::make_unique<ModularRandomAccessFile>(
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