return op;
}

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, op_name.c_str(), status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, in, status);

    // Construct op_name to match the name used by REGISTER_OP in the
    // ATTR_TEST_REGISTER calls above.
    std::string op_name = "CApiAttributesTestOp";
    if (type.find("list(") == 0) {
      op_name += "List";
      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(graph_, op_name.c_str(),

 public:
  // Sets the name of the operation: this is an optional identifier that is
  // not intended to carry semantics and preserved/propagated without
  // guarantees.
  virtual absl::Status SetOpName(const char* op_name) = 0;

  // For LLVM style RTTI.
  static bool classof(const AbstractOperation* ptr) {
    return ptr->getKind() == kGraph || ptr->getKind() == kMlir;
  }
};

namespace internal {

set FESS_PARAMS=-Dfess;-Dfess.home="%FESS_HOME%";-Dfess.es.dir="%SEARCH_ENGINE_HOME%";-Dfess.home="%FESS_HOME%";-Dfess.context.path="/";-Dfess.port=8080;-Dfess.webapp.path="%FESS_HOME%\app";-Dfess.temp.path="%FESS_HOME%\temp";-Dfess.log.name="%APP_NAME%";-Dfess.log.path="%FESS_HOME%\logs";-Dfess.log.level=warn;-Dlasta.env=web;-Dtomcat.config.path=tomcat_config.properties

set JVM_OPTS=-XX:+UseG1GC%FESS_JAVA_OPTS: =;%

if "%FESS_START_TYPE%" == "" set FESS_START_TYPE=manual

// If `op_device` is non-empty, set the created op on that device.
void BinaryOpHelper(const char* op_name, TF_Operation* l, TF_Operation* r,
                    TF_Graph* graph, TF_Status* s, const char* name,
                    TF_Operation** op, const string& op_device, bool check) {
  TF_OperationDescription* desc = TF_NewOperation(graph, op_name, name);
  if (!op_device.empty()) {
    TF_SetDevice(desc, op_device.c_str());
  }

  TFE_Context* context = TFE_OpGetContext(other, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const char* op_name = TFE_OpGetName(other, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_Op* ret = TFE_NewOp(context, op_name, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const char* device = TFE_OpGetDevice(other, status);

// Returns the serialized OpDef proto with name `op_name`, or a bad status if no
// such op exists. This can return OpDefs of functions copied into the graph.
TF_CAPI_EXPORT extern void TF_GraphGetOpDef(TF_Graph* graph,
                                            const char* op_name,
                                            TF_Buffer* output_op_def,

  status->status = MessageToBuffer(def, output_graph_def);
}

void TF_GraphGetOpDef(TF_Graph* graph, const char* op_name,
                      TF_Buffer* output_op_def, TF_Status* status) {
  const OpDef* op_def;
  {
    mutex_lock l(graph->mu);
    status->status = graph->graph.op_registry()->LookUpOpDef(op_name, &op_def);
    if (!status->status.ok()) return;
  }
  status->status = MessageToBuffer(*op_def, output_op_def);