CheckpointReader::CheckpointReader(const string& filename, TF_Status* status)
    : reader_(nullptr),
      v2_reader_(nullptr),
      var_to_shape_map_(nullptr),
      var_to_data_type_map_(nullptr) {
  // Depending on whether this is a V2 ckpt, initializes "reader_" or
  // "v2_reader_".
  std::vector<string> v2_path;
  if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() &&
      !v2_path.empty()) {

}

Status ModularRandomAccessFile::Name(StringPiece* result) const {
  *result = filename_;
  return OkStatus();
}

Status ModularWritableFile::Append(StringPiece data) {
  if (ops_->append == nullptr)
    return errors::Unimplemented(tensorflow::strings::StrCat(
        "Append() not implemented for ", filename_));

  UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);

// other languages.
//
// The class currently only interacts with single-slice (i.e., non-partitioned)
// variables.
class CheckpointReader {
 public:
  CheckpointReader(const string& filename, TF_Status* status);

  bool HasTensor(const string& name) const;
  const string DebugString() const;

  // Returns a map from variable names to their shapes.  Slices of a partitioned

# limitations under the License.
# ==============================================================================

# Check and rename wheels with auditwheel. Inserts the platform tags like
# "manylinux_xyz" into the wheel filename.
set -euxo pipefail

for wheel in /tf/pkg/*.whl; do
  echo "Checking and renaming $wheel..."
  time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt

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 ]]
}

                c_outputs, target_oper_names, nullptr, status);
}

TF_Library* TF_LoadLibrary(const char* library_filename, TF_Status* status) {
  TF_Library* lib_handle = new TF_Library;
  status->status = tensorflow::LoadDynamicLibrary(
      library_filename, &lib_handle->lib_handle, &lib_handle->op_list.data,
      &lib_handle->op_list.length);
  if (!status->status.ok()) {
    delete lib_handle;

};

class ModularRandomAccessFile final : public RandomAccessFile {
 public:
  ModularRandomAccessFile(const std::string& filename,
                          std::unique_ptr<TF_RandomAccessFile> file,
                          const TF_RandomAccessFileOps* ops)
      : filename_(filename), file_(std::move(file)), ops_(ops) {}

  ~ModularRandomAccessFile() override { ops_->cleanup(file_.get()); }

  file_block_cache = std::make_unique<RamFileBlockCache>(
      block_size, max_bytes, max_staleness,
      [this](const std::string& filename, size_t offset, size_t buffer_size,
             char* buffer, TF_Status* status) {
        return LoadBufferFromGCS(filename, offset, buffer_size, buffer, this,
                                 status);
      });

  uint64_t stat_cache_max_age = kStatCacheDefaultMaxAge;

*   Fixed `tf.set_random_seed(0)` to be deterministic for all ops.
*   Stability improvements for the GCS file system support.
*   Improved TensorForest performance.
*   Added support for multiple filename globs in `tf.matching_files`.
*   `LogMessage` now includes a timestamp as beginning of a message.
*   Added MultiBox person detector example standalone binary.

typedef struct PosixFile {
  const char* filename;
  int fd;
} PosixFile;

static void Cleanup(TF_RandomAccessFile* file) {
  auto posix_file = static_cast<PosixFile*>(file->plugin_file);
  close(posix_file->fd);
  // This would be safe to free using `free` directly as it is only opaque.
  // However, it is better to be consistent everywhere.
  plugin_memory_free(const_cast<char*>(posix_file->filename));
  delete posix_file;
}