if (ClusterFuncHasResourceRead(cluster_func, resource_and_type.resource))
        continue;
      auto new_read = builder.create<TF::ReadVariableOp>(
          resource_and_type.resource.getLoc(), resource_and_type.subtype,
          resource_and_type.resource);
      read_operands.push_back(new_read.getValue());
    }

    if (read_operands.empty()) continue;

  auto cluster = builder.create<mlir::tf_device::ClusterOp>(
      call_op->getLoc(), call_op->getResultTypes());
  cluster.getBody().push_back(new Block);
  call_op->replaceAllUsesWith(cluster.getResults());
  call_op->moveBefore(&cluster.GetBody(), cluster.GetBody().end());
  builder.setInsertionPointToEnd(&cluster.GetBody());
  builder.create<mlir::tf_device::ReturnOp>(call_op->getLoc(),
                                            call_op->getResults());

            for (final Sitemap sitemap : sitemapSet.getSitemaps()) {
                if (sitemap != null) {
                    requestDataSet.add(RequestDataBuilder.newRequestData().get().url(sitemap.getLoc()).build());
                }
            }
            throw new ChildUrlsException(requestDataSet, this.getClass().getName() + "#process");
        } catch (final IOException e) {

    // and its users.
    Value value = tf_op.getOutputs();
    auto quantize = rewriter.create<quantfork::QuantizeCastOp>(
        tf_op.getLoc(), qtype.getValue(), value);
    auto dequantize = rewriter.create<quantfork::DequantizeCastOp>(
        tf_op.getLoc(), res_type, quantize.getResult());
    value.replaceAllUsesWith(dequantize);
    quantize.getOperation()->replaceUsesOfWith(dequantize, value);

      filtered_ops.push_back(func);
    }
    return;
  }

  llvm::Regex op_regex(tac_filter.op_filter().op_name_pattern());
  module.walk([&](Operation* op) {
    auto named_loc = mlir::dyn_cast<NameLoc>(op->getLoc());
    if (!named_loc) {
      return;
    }
    if (!op_regex.match(named_loc.getName())) {
      return;
    }

    op->setAttr(kSkipTargetAnnotation, builder.getUnitAttr());

bool EmitMustBeConstantError(Operation* op) {
  if (operations_to_skip->contains(op->getRegisteredInfo()->getTypeID())) {
    IncrementCounterFor(mlir_non_static_op_skip_count, op);
    return true;
  }
  emitError(op->getLoc()) << absl::StrCat(
      "Node `", op->getName().getStringRef().str(), "` ", kMustBeConstantError);
  return false;
}

bool IsStaticOperation(Operation* op) {
  for (auto o : op->getResults()) {

    // and its users.
    auto quantize = rewriter.create<quantfork::QuantizeCastOp>(
        tf_op.getLoc(), qtype.getValue(), input);
    auto dequantize = rewriter.create<quantfork::DequantizeCastOp>(
        tf_op.getLoc(), res_type, quantize.getResult());
    tf_op.getOutputs().replaceAllUsesWith(dequantize);

    return success();
  }

  bool use_fake_quant_num_bits_;

      ++num_unscheduled_ops;
    }
  }
  emitRemark(func.getLoc(), func.getName())
      << ": " << num_part_ops << " ops delegated out of " << num_all_ops
      << " ops with " << num_partitions_after
      << " partitions (originally: " << num_partitions_before << ")";
  if (!scheduled_everything) {
    emitError(func.getLoc(), func.getName())

    if (variable_name.empty()) {
      return signalPassFailure();
    }
    VarHandleOp var_handle_op = builder.create<VarHandleOp>(
        variable_v2_op.getLoc(),
        ArrayRef<Type>{RankedTensorType::get(
            {}, TF::ResourceType::get(ArrayRef<TensorType>{tensor_type},
                                      builder.getContext()))},
        ArrayRef<Value>{},

  if (IsKVCacheCompositeOp(composite)) {
    return builder.create<TFL::CustomOp>(
        composite->getLoc(), composite->getResultTypes(),
        composite->getOperands().slice(2, 3), composite.getName(),
        CustomOption(&builder, custom_option_buffer));
  }
  return builder.create<TFL::CustomOp>(
      composite->getLoc(), composite->getResultTypes(),
      composite->getOperands(), composite.getName(),