TF_CAPI_EXPORT extern void TFE_DeleteOp(TFE_Op* op);

// Returns the op or function name `op` will execute.
//
// The returned string remains valid throughout the lifetime of 'op'.
TF_CAPI_EXPORT extern const char* TFE_OpGetName(const TFE_Op* op,
                                                TF_Status* status);
TF_CAPI_EXPORT extern TFE_Context* TFE_OpGetContext(const TFE_Op* op,

    int quantize_operand_num = quant_op.second;

    Type expressed_type = op.getResult().getType();
    Type cast_type = quant_type.castFromExpressedType(expressed_type);

    // Insert DQ-op if it does not exist yet. Otherwise, just rewire without
    // creating a new DQ-op.
    for (auto connected_op : op->getUsers()) {
      auto q_op =
          llvm::dyn_cast_or_null<quantfork::QuantizeCastOp>(connected_op);

	case OPLUS, ONEG, OBITNOT, ONOT, ORECV:
		// Unary
		n := n.(*UnaryExpr)
		fmt.Fprintf(s, "%v", n.Op())
		if n.X != nil && n.X.Op() == n.Op() {
			fmt.Fprint(s, " ")
		}
		exprFmt(n.X, s, nprec+1)

	case OADDR:
		n := n.(*AddrExpr)
		fmt.Fprintf(s, "%v", n.Op())
		if n.X != nil && n.X.Op() == n.Op() {
			fmt.Fprint(s, " ")
		}
		exprFmt(n.X, s, nprec+1)

	case ODEREF:
		n := n.(*StarExpr)

  auto xla_compile = NodeWith(Op("_XlaCompile"), Attr("must_compile", false));
  auto predicated_compilation_key =
      NodeWith(Op("Switch"), Inputs(Out(0, xla_compile), Out(1, xla_compile)));
  auto xla_run =
      NodeWith(Op("_XlaRun"), Inputs(Out(1, predicated_compilation_key)));
  auto tf_call =
      NodeWith(Op("StatefulPartitionedCall"),
               CtrlDeps(NodeWith(Op("Identity"),

		op = "MOVBS" + op[4:] + suffix
	case LDRH_EQ, UXTH_EQ:
		op = "MOVHU" + op[4:] + suffix
	case LDRSH_EQ:
		op = "MOVHS" + op[5:] + suffix
	case SXTH_EQ:
		op = "MOVHS" + op[4:] + suffix
	case STR_EQ:
		op = "MOVW" + op[3:] + suffix
		args[0], args[1] = args[1], args[0]
	case STRB_EQ:
		op = "MOVB" + op[4:] + suffix
		args[0], args[1] = args[1], args[0]
	case STRH_EQ:
		op = "MOVH" + op[4:] + suffix

                                 parsed_op_name, attrs, node_def))) {
      return failure();
    }
    if (parsed_op_name != tf_op_name) {
      return op.emitOpError(
          "TF op names in 'custom_code' and 'custom_option' don't match");
    }
    const tensorflow::OpDef* op_def;

    // This will fail only if the op is not a registered TensorFlow op.

  TFE_OpSetAttrType(op, "T", TFE_TensorHandleDataType(in));
  TFE_OpSetAttrInt(op, "group_size", group_size);
  TFE_OpSetAttrInt(op, "group_key", 123);
  TFE_OpSetAttrInt(op, "instance_key", 456);
  TFE_OpSetAttrString(op, "merge_op", "Add", 3);
  TFE_OpSetAttrString(op, "final_op", "Id", 2);
  std::vector<int64_t> subdiv_offsets;
  TFE_OpSetAttrIntList(op, "subdiv_offsets", subdiv_offsets.data(),

    }
  }
  if (skip_cpu) {
    for (auto& op : block) {
      auto op_device = GetInferenceDeviceTypeForOp(&op);
      if (op_device_is(op, kCpuDeviceName))
        // The recently raised func is device type cpu & `op` is a "CPU".
        // Recursivley call again to raise any non-"CPU" subgraphs contained
        // within nested region of `op`.
        for (auto& region : op.getRegions())

				if b != f.Entry {
					f.Fatalf("%s appeared outside of entry block, b=%s", v.Op, b.String())
				}
				score[v.ID] = ScorePhi
			case v.Op == OpArg || v.Op == OpSP || v.Op == OpSB:
				// We want all the args as early as possible, for better debugging.
				score[v.ID] = ScoreArg
			case v.Op == OpInitMem:
				// Early, but after args. See debug.go:buildLocationLists
				score[v.ID] = ScoreInitMem

};

bool IsActivationFunction(Operation *op) {
  return isa<EluOp, ReluOp, Relu6Op>(op);
}

// Finds and returns an activation op that uses the result of `op`. If there are
// multiple such activations, one is returned (with no guarantee as to which
// one). If there are no activation functions that use the output, returns
// nullptr.
Operation *GetActivation(Value op) {
  for (auto &use : op.getUses()) {