TF_FileStatistics stats;
    TF_FileStat(filepath.c_str(), &stats, s);
    ASSERT_EQ(stats.length, strlen(data));
    ASSERT_FALSE(stats.is_directory);
    ASSERT_GT(stats.mtime_nsec, 0);

    // Trying to delete a non-empty directory should fail.
    TF_DeleteDir(dirpath.c_str(), s);
    ASSERT_NE(TF_OK, TF_GetCode(s))
        << "TF_DeleteDir unexpectedly succeeded with a non-empty directory "
        << dirpath;

          *reinterpret_cast<const tensorflow::grappler::GrapplerItem*>(item)));
}

void TF_DeleteGraphProperties(TF_GraphProperties* graph_properties) {
  if (graph_properties == nullptr) return;
  delete reinterpret_cast<tensorflow::grappler::GraphProperties*>(
      graph_properties);
}

void TF_InferStatically(TF_GraphProperties* graph_properties,
                        TF_Bool assume_valid_feeds,

      op_name, tape_tensors, input_ids, input_dtypes,
      [gradient_function]() -> GradientFunction* { return gradient_function; },
      [](GradientFunction* ptr) {
        if (ptr) {
          delete ptr;
        }
      });
}
bool Tape::ShouldRecord(
    absl::Span<const AbstractTensorHandle* const> tensors) const {
  std::vector<int64_t> tensor_ids(tensors.size());

namespace tensorflow {
namespace parallel_device {
namespace {

class OpDeleter {
 public:
  void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); }
};

using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>;

class StatusDeleter {
 public:
  void operator()(TF_Status* to_delete) const { TF_DeleteStatus(to_delete); }
};

using StatusPtr = std::unique_ptr<TF_Status, StatusDeleter>;

class ExecutorDeleter {
 public:

  // If true, only explicit op placements are accepted. If false, uses
  // type-based dispatch.
  bool strict_scope_placement;
};

struct LoggedTensor {
  TFE_TensorHandle* tensor;
  LoggedTensor() = delete;
  explicit LoggedTensor(TFE_TensorHandle* tensor) : tensor(tensor) {}
  ~LoggedTensor() { TFE_DeleteTensorHandle(tensor); }
};

int64_t LoggedTensorDim(void* data, int dim_index, TF_Status* status) {

                             void* plugin_resource, void (*delete_func)(void*),
                             TF_Status* status) {
  auto* cc_ctx = reinterpret_cast<tensorflow::OpKernelContext*>(ctx);
  tensorflow::PluginResource* cc_resource_ptr = new tensorflow::PluginResource(
      plugin_resource, plugin_resource_name, delete_func);
  auto cc_status =
      cc_ctx->resource_manager()->Create<tensorflow::PluginResource>(

  ASSERT_EQ(TF_GetCode(status_), TF_OUT_OF_RANGE) << TF_Message(status_);
  ASSERT_TRUE(CompareSubString(content_view.length() - 2, 2, result, read));

  delete[] result;
  tf_random_access_file::Cleanup(file);
  delete file;
}

TEST_F(GCSFilesystemTest, WritableFile) {
  tf_gcs_filesystem::Init(filesystem_, status_);
  ASSERT_TF_OK(status_) << "Could not initialize filesystem. "

}

void TF_DeleteFunction(TF_Function* func) {
  if (func == nullptr) {
    return;
  }

  func->record->Unref();
  func->record = nullptr;
  delete func;

        // The oldest block is not yet expired. Come back later.
        break;
      }
      // We need to make a copy of the filename here, since it could otherwise
      // be used within RemoveFile_Locked after `it` is deleted.
      RemoveFile_Locked(std::string(it->first.first));
    }
  }
}

void RamFileBlockCache::Flush() {
  absl::MutexLock lock(&mu_);
  block_map_.clear();
  lru_list_.clear();

    if (!metadata) {
      TF_SetStatusFromGCSStatus(metadata.status(), status);
      return;
    }
    // We have to delete the temporary object after composing.
    auto delete_status = gcs_client->DeleteObject(bucket, temporary_object);
    if (!delete_status.ok()) {
      TF_SetStatusFromGCSStatus(delete_status, status);
      return;
    }
    // We truncate the data that are already uploaded.
    if (!outfile->truncate()) {