{Zm_ibo, 2, argList{Yml, Yi8}},
	{Z_il, 1, argList{Yax, Yi32}},
	{Zm_ilo, 2, argList{Yml, Yi32}},
	{Zm_r, 1, argList{Yml, Yrl}},
	{Zr_m, 1, argList{Yrl, Yml}},
}

var yshb = []ytab{
	{Zo_m, 2, argList{Yi1, Ymb}},
	{Zibo_m, 2, argList{Yu8, Ymb}},
	{Zo_m, 2, argList{Ycx, Ymb}},
}

var yshl = []ytab{
	{Zo_m, 2, argList{Yi1, Yml}},
	{Zibo_m, 2, argList{Yu8, Yml}},
	{Zo_m, 2, argList{Ycl, Yml}},

  delete lib_handle;
}

TF_Buffer* TF_GetAllOpList() {
  std::vector<tensorflow::OpDef> op_defs;
  tensorflow::OpRegistry::Global()->GetRegisteredOps(&op_defs);
  tensorflow::OpList op_list;
  for (const auto& op : op_defs) {
    *(op_list.add_op()) = op;
  }
  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(op_list, ret));
  return ret;
}

import static com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly;
import static com.google.common.util.concurrent.testing.TestingExecutors.noOpScheduledExecutor;
import static java.util.Arrays.asList;
import static java.util.concurrent.Executors.newSingleThreadExecutor;
import static java.util.concurrent.Executors.newSingleThreadScheduledExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;

import static com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly;
import static com.google.common.util.concurrent.testing.TestingExecutors.noOpScheduledExecutor;
import static java.util.Arrays.asList;
import static java.util.concurrent.Executors.newSingleThreadExecutor;
import static java.util.concurrent.Executors.newSingleThreadScheduledExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;

                _ALOAD(0);
                _INVOKEDYNAMIC("run", getMethodDescriptor(RUNNABLE_TYPE, generatedType), LAMBDA_BOOTSTRAP_HANDLE, Arrays.asList(
                    RETURN_VOID_METHOD_TYPE,
                    new Handle(H_INVOKESPECIAL, generatedType.getInternalName(), INIT_WORK_METHOD, RETURN_VOID, false),
                    RETURN_VOID_METHOD_TYPE

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.base.Preconditions.checkState;
import static com.google.common.collect.Lists.asList;
import static com.google.common.util.concurrent.ClosingFuture.State.CLOSED;
import static com.google.common.util.concurrent.ClosingFuture.State.CLOSING;
import static com.google.common.util.concurrent.ClosingFuture.State.OPEN;

        return mlir::UnrankedTensorType::get(
            mlir::TF::ResourceType::get(builder.getContext()));
      }
    } else if (auto shape = node.attrs().Find("_output_shapes")) {
      if (shape->has_list() && shape->list().shape_size() == 1) {
        return ConvertToMlirTensorType(shape->list().shape().at(0), dtype,
                                       &builder);
      }
    }
  }