int CurrentThreadId() const override { return tpool_.CurrentThreadId(); }
  void Cancel() override {}

 private:
  ThreadPool tpool_;
};
}  // namespace

RuntimeFallbackExecutor::RuntimeFallbackExecutor(int64_t num_threads)
    : intra_op_(std::make_unique<IntraOpThreadPool>(num_threads)) {
  // Create a HostContext for running TFRT functions. Concurrent work queue acts

#include "tfrt/host_context/resource_context.h"  // from @tf_runtime
#include "tfrt/support/ref_count.h"  // from @tf_runtime

namespace tensorflow {

class RuntimeFallbackExecutor {
 public:
  explicit RuntimeFallbackExecutor(int64_t num_threads);

  // Prepare() needs to be called once before calling Execute(). It sets up all
  // things necessary to execute the given 'mlir_input' with the fallback to

        "@tf_runtime//:tensor_opdefs",
    ],
)

cc_library(
    name = "runtime_fallback_executor",
    testonly = True,
    srcs = [
        "runtime_fallback/runtime_fallback_executor.cc",
    ],
    hdrs = [
        "runtime_fallback/runtime_fallback_executor.h",
    ],
    deps = [
        ":host_context_util",
        ":tf_to_tfrt",