static const char kImportModelDefaultGraphFuncName[] = "main";

// Please refer to the TFG dialect description for the list of used attributes.
// Belows are the attributes in TFE.
// TFE Arguments and Results (Got from "_Arg",
// "_Retval", .etc)
//  NodeDef.device <-> "tf.device"
//  NodeDef.attr <-> "tf."
//
// TFE general operations
//  NodeDef.device <-> "device"
//
// The following two functions are only used for mapping/excluding attributes

                                         .WithAttr("dtype", DT_FLOAT)
                                         .WithAttr("value", Tensor()));
    Node* b = ops::UnaryOp("Relu", a, builder.opts().WithName("B"));
    ops::UnaryOp("_Retval", b,
                 builder.opts()
                     .WithName("R")
                     .WithAttr("T", DT_FLOAT)
                     .WithAttr("index", 0));

    mlir::OperationName name = inner_op->getName();
    if (!name.isRegistered() &&
        // Skip unmodelled ops that are handled differently.
        (node_type_name != "_Arg" && node_type_name != "_Retval") &&
        !unmodelled_op_names_.count(name.getIdentifier())) {
      if (node.op_def().is_stateful()) {
        VLOG(1) << "[potentially conservative] Op type `" << node.type_string()

	}

	for _, res := range s.resources {
		if res == nil {
			continue
		}
		resVal := reflect.ValueOf(res)
		if resVal.Type().AssignableTo(targetT) {
			if refVal.Kind() == reflect.Slice {
				refVal.Set(reflect.Append(refVal, resVal))
			} else {
				refVal.Set(resVal)
				return nil
			}
		}
	}

	if s.parent != nil {
		// either didn't find the value or need to continue filling the slice

#cgo LDFLAGS: -fsanitize=thread

int val;

int getVal() {
	return val;
}

void setVal(int i) {
	val = i;
}
*/
import "C"

import (
	"runtime"
)

func main() {
	runtime.LockOSThread()
	C.setVal(1)
	c := make(chan bool)
	go func() {
		runtime.LockOSThread()
		C.setVal(2)
		c <- true
	}()
	<-c
	if v := C.getVal(); v != 2 {
		panic(v)
	}

  TF_SetStatus(status, TF_OK, "");
  if (retvals[0] != nullptr) {
    TFE_DeleteTensorHandle(retvals[0]);
  }
  retvals[0] = nullptr;
  TFE_Execute(matmul2, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status));
  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  EXPECT_EQ(TF_OK, TF_GetCode(status));
  TF_DeleteTensor(t);

      "XlaVariadicReduce",
      "XlaVariadicReduceV2",
      "XlaVariadicSort",
      "XlaWhile",
      "Zeta",
      "_Arg",
      "_ArrayToList",
      "_ListToArray",
      "_Retval"};
  return result;
}

}  // namespace testing

}

Node* RetOp(int index, ops::NodeOut a, const GraphDefBuilder::Options& opts) {
  if (opts.HaveError()) return nullptr;
  NodeBuilder node_builder(opts.GetNameForOp("Retval"), "_Retval",
                           opts.op_registry());
  node_builder.Input(std::move(a)).Attr("index", index);
  return opts.FinalizeBuilder(&node_builder);
}

A. Unique TensorFlower <******@****.***> 1605121757 -0800

        handle.sendrecv(rpc);
        if (rpc.retval != 0)
            throw new SmbException(rpc.retval, false);
    }

    public void close() throws IOException {
        MsrpcLsarClose rpc = new MsrpcLsarClose(this);
        handle.sendrecv(rpc);
        if (rpc.retval != 0)
            throw new SmbException(rpc.retval, false);
    }