input_tensors.empty()
                        ? nullptr
                        : const_cast<TF_Tensor**>(input_tensors.data()),
                    /*input_tensors_as_shapes*/ nullptr,
                    /*input_resource_shapes_and_types*/ nullptr, &output_shapes,
                    /*output_resource_shapes_and_types*/ nullptr, status_);
    CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

      inputs, noutputs, outputs, output_names, 0, nullptr, nullptr, opts,
      description, status);
}

const char* TF_FunctionName(TF_Function* func) {
  return func->record->fdef().signature().name().c_str();
}

void TF_GraphCopyFunction(TF_Graph* g, const TF_Function* func,
                          const TF_Function* grad, TF_Status* status) {
  if (func == nullptr) {
    status->status = InvalidArgument(

  delete[] params->body_inputs;
  delete[] params->body_outputs;
}

TF_WhileParams EmptyWhileParams() {
  return {0,       nullptr, nullptr, {nullptr, 0},
          nullptr, nullptr, nullptr, nullptr};
}

}  // namespace

TF_WhileParams TF_NewWhile(TF_Graph* g, TF_Output* inputs, int ninputs,
                           TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)

  TF_SessionRun(session, /*run_options*/ nullptr,
                // input related parameters
                /*inputs*/ &input, /*input_values*/ &tensor, /*ninputs*/ 1,
                // output related parameters
                /*outputs*/ nullptr, /*output_values*/ nullptr, /*noutputs*/ 0,
                /*targets*/ &enqueue_op, /*ntargets*/ 1,
                /*run_metadata*/ nullptr, status);
  VLOG(1) << "Enqueuing is done.";
}

  TF_Status* status = TF_NewStatus();

  TF_DeleteStatus(nullptr);
  TF_DeleteBuffer(nullptr);
  TF_DeleteTensor(nullptr);
  TF_DeleteSessionOptions(nullptr);
  TF_DeleteGraph(nullptr);
  TF_DeleteImportGraphDefOptions(nullptr);
  TF_DeleteImportGraphDefResults(nullptr);
  TF_DeleteFunction(nullptr);
  TF_DeleteSession(nullptr, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  func_ = TF_GraphToFunction(
      func_graph.get(), "func", /*append_hash_to_fn_name=*/false, -1,
      /*opers=*/nullptr, 0, nullptr, 3, outputs,
      /*output_names=*/nullptr,
      /*opts=*/nullptr, /*description=*/nullptr, s.get());
  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(func_, nullptr);

  // Verify that FunctionDef has 2 attributes, "v1" and "v2".

// Returns the operation in the graph with `oper_name`. Returns nullptr if
// no operation found.
TF_CAPI_EXPORT extern TF_Operation* TF_GraphOperationByName(
    TF_Graph* graph, const char* oper_name);

// Iterate through the operations of a graph.  To use:
// size_t pos = 0;
// TF_Operation* oper;
// while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) {
//   DoSomethingWithOperation(oper);
// }

// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//
// TODO(akshayka): Implement a corresponding getter method.
void TF_GraphSetOutputHandleShapesAndTypes(TF_Graph* graph, TF_Output output,
                                           int num_shapes_and_types,

// For argument number input_index, fetch the corresponding number_attr that
// needs to be updated with the argument length of the input list.
// Returns nullptr if there is any problem like op_name is not found, or the
// argument does not support this attribute type.
TF_CAPI_EXPORT extern const char* TF_GetNumberAttrForOpListInput(

*   Fixes an undefined behavior arising from reference binding to nullptr in
    `RaggedTensorToSparse`
    ([CVE-2021-37656](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37656))
*   Fixes an undefined behavior arising from reference binding to nullptr in
    `MatrixDiagV*` ops
    ([CVE-2021-37657](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37657))