plugin_status.get());

  if (TF_GetCode(plugin_status.get()) == TF_OK) {
    stat->length = stats.length;
    stat->mtime_nsec = stats.mtime_nsec;
    stat->is_directory = stats.is_directory;
  }

  return StatusFromTF_Status(plugin_status.get());
}

Status ModularFileSystem::IsDirectory(const std::string& name,

        } else {
          return TF_SetStatus(status, TF_INVALID_ARGUMENT, "Not a directory!");
        }
      };
  GcsFileStat stat;
  MaybeAppendSlash(&dir);
  gcs_file->stat_cache->LookupOrCompute(dir, &stat, compute_func, status);
  if (TF_GetCode(status) != TF_OK && TF_GetCode(status) != TF_INVALID_ARGUMENT)
    return false;
  if (TF_GetCode(status) == TF_INVALID_ARGUMENT) {
    TF_SetStatus(status, TF_OK, "");

  struct stat sbuf;
  if (stat(path, &sbuf) != 0) {
    TF_SetStatusFromIOError(status, errno, path);
  } else {
    stats->length = sbuf.st_size;
    stats->mtime_nsec = sbuf.st_mtime * (1000 * 1000 * 1000);
    stats->is_directory = S_ISDIR(sbuf.st_mode);
    TF_SetStatus(status, TF_OK, "");
  }
}

static int GetChildren(const TF_Filesystem* filesystem, const char* path,

    TFE_TensorHandle* h = TFE_NewTensorHandle(t, status);
    ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);
    TF_DeleteTensor(t);

    TFE_Op* op = TFE_NewOp(ctx, "ident", status);
    ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);
    TFE_OpAddInput(op, h, status);
    ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);

    std::vector<TFE_TensorHandle*> result;

                                                   TF_Status* status);

// Returns the status for the tensor handle. In TFRT, a tensor handle can carry
// error info if error happens. If so, the status will be set with the error
// info. If not, status will be set as OK.
TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status);

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }
  return tensorflow::unwrap(h)->DeviceId(&status->status);
}

TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status) {
  status->status = tensorflow::unwrap(h)->TensorHandleStatus();
}

  TF_DeleteStatus(status);

  return var_handle;
}

TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) {
  TF_Status* status = TF_NewStatus();

  TFE_Op* op = TFE_NewOp(ctx, "AddV2", status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, a, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, b, status);

  Status CallBackwardFunction(
      const string& op_type, GradientFunction* gradient_function,
      const std::vector<int64_t>& unneeded_gradients,
      gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  Status BuildOnesLike(const TapeTensor& t,

tf_cuda_library(
    name = "tf_status_helper",
    srcs = ["tf_status_helper.cc"],
    hdrs = ["tf_status_helper.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status_headers",
        "@local_tsl//tsl/platform:status",
        "@local_xla//xla/tsl/c:tsl_status_helper",
    ],
)

tf_cc_test(
    name = "tf_status_helper_test",
    srcs = ["tf_status_helper_test.cc"],
    deps = [

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return nullptr;
  }
  return tensorflow::unwrap(h)->BackingDeviceName(&status->status);
}

TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_TensorHandleCopySharingTensor(
    TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {