TF::ConstOp GetI64ConstantTensor(PatternRewriter &rewriter,
                                 ArrayRef<int64_t> values, Location location) {
  auto cst_attr = rewriter.getI64TensorAttr(values);
  return rewriter.create<TF::ConstOp>(location, cst_attr.getType(), cst_attr);
}

// Rewrites broadcast->reshape to a reshape->broadcast that reduces
// the rank of the input and output of the broadcast.

	MOVD $·Fremovexattr(SB), R8
	MOVD R8, ret+0(FP)
	RET

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

TEXT ·get_FgetxattrAddr(SB), NOSPLIT|NOFRAME, $0-8
	MOVD $·Fgetxattr(SB), R8
	MOVD R8, ret+0(FP)
	RET

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

TEXT ·get_FsetxattrAddr(SB), NOSPLIT|NOFRAME, $0-8
	MOVD $·Fsetxattr(SB), R8
	MOVD R8, ret+0(FP)
	RET

      return failure();
    }
    res.push_back(signed_lhs_val / signed_rhs_val);
  }

  auto res_attr = DenseElementsAttr::get(
      const_oprs[0].getType().cast<RankedTensorType>(), res);
  rewriter.replaceOpWithNewOp<stablehlo::ConstantOp>(adaptor.value().Op(),
                                                     res_attr);
  return success();
}

    }
  }

  if (!in_order) {
    // Functions do not get reused in practice, so skip the check for if the
    // callee has been updated.
    StringAttr callee_sym = cluster_func_op.getFuncAttr().getAttr();
    MoveResourceArgsToEnd(symtab.lookup<func::FuncOp>(callee_sym));
  }
  builder.setInsertionPoint(cluster_func_op);
  auto xla_launch_op = builder.create<TF::XlaLaunchOp>(

  void runOnOperation() override {
    auto module = getOperation();
    // If TFLite variable legalization is not allowed, then we skip this pass.
    if (auto legalize_tfl_variables_attr =
            module->getAttr(kLegalizeTflVariables)) {
      if (!mlir::cast<BoolAttr>(legalize_tfl_variables_attr).getValue()) return;
    }

    RewritePatternSet patterns(&getContext());
    populateWithGenerated(patterns);

  LogicalResult matchAndRewrite(mlir::stablehlo::CustomCallOp op,
                                PatternRewriter &rewriter) const override {
    auto backendConfig =
        mlir::dyn_cast<DictionaryAttr>(op->getAttr("composite.backend_config"));
    if (!backendConfig)
      return op->emitError(
          "custom_call has no 'composite.backend_config' attribute or the "
          "attribute is not a dictionary");

  cluster_op->setAttr(
      builder->getStringAttr(kFuncAttr),
      mlir::SymbolRefAttr::get(builder->getContext(), outlined_func.getName()));

  builder->setInsertionPoint(cluster_op);
  auto cluster_func_op = builder->create<tf_device::ClusterFuncOp>(
      cluster_op.getLoc(), outlined_func.getFunctionType().getResults(),
      live_ins.getArrayRef(), cluster_op->getAttrs());

    }
  }
  OpBuilder builder(op);
  builder.setInsertionPointAfter(op);
  OperationState state(op->getLoc(), op->getName().getStringRef(),
                       op->getOperands(), result_types, op->getAttrs());
  for (int i = 0; i < op->getNumRegions(); ++i) {
    state.addRegion();
  }
  Operation* new_op = builder.create(state);
  for (const auto& indexed_regions : llvm::enumerate(op->getRegions())) {

    }
  });
  return entry_funcs;
}

LogicalResult GetCallees(SymbolUserOpInterface op, SymbolTable &symtab,
                         llvm::SmallVector<func::FuncOp> &callees) {
  for (auto attr : op->getAttrs()) {
    auto sym = mlir::dyn_cast<SymbolRefAttr>(attr.getValue());
    if (!sym) continue;
    auto callee = symtab.lookup<func::FuncOp>(sym.getRootReference());
    if (!callee) {

    return func_.emitWarning()
           << "Invalid number of results from " << kMaxUnpooling << ": "
           << func_.getFunctionType().getNumResults();
  }

  auto attrs = attr_.getAttrs();

  if (failed(HasIntegerArrayWithSize(&func_, attrs, "pool_size", 2))) {
    return failure();
  }

  if (failed(HasIntegerArrayWithSize(&func_, attrs, "strides", 2))) {
    return failure();
  }