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ci/official/utilities/code_check_changed_files.bats
} @test "API compatibility test passes, ensuring no unexpected changes to the TF API" { bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test echo "You have to re-generate the TF API goldens and have the API changes reviewed." echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'" } teardown_file() { bazel shutdown
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ISSUES.md
a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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ci/official/envs/rbe
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ci/official/wheel_test/README.md
## Wheel Test This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
"_", /*replace_all=*/true); if (!cloud_path_.empty()) { // We have to join path for non-local filesystem manually to make sure // that this test will run on Windows since `tensorflow::io::JoinPath` // behaves differently on Windows. `tmp_dir` should be something like // `path/to/tmp/dir/`. After joining path, we will have // /path/to/tmp/dir/tf_fs_rng_name/` root_dir_ = tensorflow::strings::StrCat(
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
TEST(RamFileBlockCacheTest, ParallelReads) { // This fetcher won't respond until either `callers` threads are calling it // concurrently (at which point it will respond with success to all callers), // or 10 seconds have elapsed (at which point it will respond with an error). const int callers = 4; BlockingCounter counter(callers); auto fetcher = [&counter](const string& filename, size_t offset, size_t n,
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
block->lru_iterator = lru_list_.begin(); } // Check for inconsistent state. If there is a block later in the same file // in the cache, and our current block is not block size, this likely means // we have inconsistent state within the cache. Note: it's possible some // incomplete reads may still go undetected. if (block->data.size() < block_size_) { Key fmax = std::make_pair(key.first, std::numeric_limits<size_t>::max());
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tensorflow/c/eager/c_api_test.cc
int num_retvals = 1; TFE_Execute(matmul, &retvals[0], &num_retvals, status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); // The CPU handle should have been copied and have a mirror on the GPU ASSERT_TRUE(cpu_arg->HasLocalMirror(gpu_device)); TFE_DeleteOp(matmul); TFE_DeleteTensorHandle(retvals[0]); TFE_DeleteTensorHandle(hgpu); }
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tensorflow/c/experimental/filesystem/modular_filesystem.cc
#include "tensorflow/core/platform/file_system_helper.h" #include "tsl/platform/errors.h" // TODO(b/139060984): After all filesystems are converted, all calls to // methods from `FileSystem` will have to be replaced to calls to private // methods here, as part of making this class a singleton and the only way to // register/use filesystems. namespace tensorflow { using UniquePtrTo_TF_Status =
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