control_outputs.erase(node);
      graph->RemoveNode(node);
    }

    TF_ASSIGN_OR_RETURN(Node * xla_launch, graph->AddNode(def));
    for (int i = 0, end = data_inputs.size(); i < end; ++i) {
      graph->AddEdge(data_inputs[i].first, data_inputs[i].second, xla_launch,
                     i);
    }
    for (Node* n : control_inputs) {
      graph->AddControlEdge(n, xla_launch);
    }

import com.google.common.math.IntMath;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.DataInput;
import java.io.DataInputStream;
import java.io.DataOutput;
import java.io.DataOutputStream;
import java.io.EOFException;
import java.io.FilterInputStream;
import java.io.IOException;
import java.io.InputStream;

import com.google.common.math.IntMath;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.DataInput;
import java.io.DataInputStream;
import java.io.DataOutput;
import java.io.DataOutputStream;
import java.io.EOFException;
import java.io.FilterInputStream;
import java.io.IOException;
import java.io.InputStream;

  GraphDef gdef;
  src_graph->ToGraphDef(&gdef);

  tensorflow::ImportGraphDefOptions opts;
  opts.prefix = prefix;

  for (int i = 0; i < dst_inputs.size(); ++i) {
    opts.input_map[ToTensorId(src_inputs[i])] =
        TensorId(dst_inputs[i].node()->name(), dst_inputs[i].index());
  }
  opts.skip_mapped_nodes = true;

  for (const tensorflow::Operation& op : control_deps) {

    QuantizableResult]> {
  let summary = "The basic lstm operator";

  let description = [{
    basic LSTM Cell Operator.
  }];

  let arguments = (
    ins TFL_TensorOf<[F32, QUI8]>:$data_input,
    TFL_TensorOf<[F32, QUI8]>:$prev_activ_input,
    TFL_TensorOf<[F32, QUI8]>:$weights_input,
    TFL_TensorOf<[F32, QI32]>:$biases_input,
    TFL_TensorOf<[F32, QI16]>:$prev_state_input,