// to change at any time.
TF_CAPI_EXPORT extern SP_Stream TF_GetStream(TF_OpKernelContext* ctx,
                                             TF_Status* status);

// TF_NumInputs returns the number of inputs available in ctx.
TF_CAPI_EXPORT extern int TF_NumInputs(TF_OpKernelContext* ctx);

// TF_NumOutputs returns the number of outputs to be placed in *ctx by the
// kernel.

void MergeSummaryOp_Compute(void* kernel, TF_OpKernelContext* ctx) {
  tensorflow::Summary s;
  std::unordered_set<tensorflow::string> tags;
  Safe_TF_StatusPtr status(TF_NewStatus());
  for (int input_num = 0; input_num < TF_NumInputs(ctx); ++input_num) {
    TF_Tensor* input;
    TF_GetInput(ctx, input_num, &input, status.get());
    Safe_TF_TensorPtr safe_input_ptr(input);
    if (TF_GetCode(status.get()) != TF_OK) {

        cc_ctx->op_device_context()->stream());
    return c_stream->Handle();
  }
#endif  // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
}

int TF_NumInputs(TF_OpKernelContext* ctx) {
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx);
  return cc_ctx->num_inputs();
}

int TF_NumOutputs(TF_OpKernelContext* ctx) {

  // and num_outputs. Various functions on TF_OpKernelContext are also
  // exercised.
  auto my_compute_func = [](void* kernel, TF_OpKernelContext* ctx) {
    num_inputs = TF_NumInputs(ctx);
    num_outputs = TF_NumOutputs(ctx);

    TF_Tensor* input = nullptr;
    TF_Status* s = TF_NewStatus();
    TF_GetInput(ctx, 0, &input, s);