TF_Status* status);

// Set an op's attribute from a serialized AttrValue protocol buffer.
//
// Analogous to TF_SetAttrValueProto for building graph operations.
TF_CAPI_EXPORT extern void TFE_OpSetAttrValueProto(const TFE_Op* op,
                                                   const char* attr_name,

  // least one input of the op is watched and has trainable dtype.
  //
  // op_type is used to decide which of the incoming gradients can be left as
  // nullptr instead of building zeros when build_default_zeros_grads == true.
  void RecordOperation(
      const string& op_type, const std::vector<TapeTensor>& output_tensors,
      absl::Span<const int64_t> input_tensor_id,

TF_CAPI_EXPORT extern void TF_FinishWhile(const TF_WhileParams* params,
                                          TF_Status* status,
                                          TF_Output* outputs);

// Frees `params`s resources without building a while loop. `params` is no
// longer valid after this returns. Either this or TF_FinishWhile() must be
// called after a successful TF_NewWhile() call.
TF_CAPI_EXPORT extern void TF_AbortWhile(const TF_WhileParams* params);

// `len`. The format is subject to change in the future.
// The returned string is heap-allocated, and caller should call free() on it.
//
// Do not return const char*, because some foreign language binding
// (e.g. swift) cannot then call free() on the returned pointer.
TF_CAPI_EXPORT extern char* TF_FunctionDebugString(TF_Function* func,
                                                   size_t* len);