values.getUses().begin().getUser());
      values_slice_op.getResult().replaceAllUsesWith(top_k_op.getValues());
      values_slice_op.erase();
    }
    if (!indices.use_empty()) {
      auto indices_slice_op = llvm::dyn_cast_or_null<TFL::SliceOp>(
          indices.getUses().begin().getUser());
      indices_slice_op.getResult().replaceAllUsesWith(top_k_op.getIndices());

    // to it have the same shape, we need to follow use-def chain of ops that
    // (conceptually) modify it i.e., ops that take an input TensorList and
    // produce an output TensorList.
    for (auto& use : tensorlist.getUses()) {
      if (auto push = llvm::dyn_cast<TensorListPushBackOp>(use.getOwner())) {
        auto element_type =
            mlir::dyn_cast<RankedTensorType>(push.getTensor().getType());

  // marked as a stateful. If so, set the tensor's is_variable as true
  // This is v1 ref variable semantics in the TFLite runtime.
  bool is_variable = false;
  for (auto& use : value.getUses()) {
    is_variable = IsStatefulOperand(use.getOwner(), use.getOperandNumber());
    if (is_variable) {
      break;
    }
  }
  // The value is used as a variable if produced by an op with "tfl.is_variable"

    arg_nodes_to_values.try_emplace({arg_node.node, arg_node.index}, arg_def);
    island->getResult(0).replaceAllUsesWith(arg_def);
    // Erase control outputs from feed.
    auto control_uses = island->getResult(1).getUses();
    for (auto& control_use : llvm::make_early_inc_range(control_uses))
      control_use.getOwner()->eraseOperand(control_use.getOperandNumber());

    if (!arg_node.node->requested_device().empty())

  auto loc = op.getLoc();

  // First unpack user must be coeff-wise unary operation.
  Operation *first_user = *op->getUsers().begin();
  if (!first_user->hasTrait<OpTrait::TF::CwiseUnary>()) return failure();

  // All unpack users must be defined by the op of same kind.
  bool users_same_op = llvm::all_of(op->getUsers(), [&](Operation *user) {
    return user->getName() == first_user->getName();
  });

turn xt(t.selItem,e)}},events:[{name:"itemshown",self:!0,el:function(){return this.item},handler:function(){Ve(this.$el,this.getCss(.5))}},{name:"itemin itemout",self:!0,el:function(){return this.item},handler:function(t){var e=t.type,i=t.detail,n=i.percent,r=i.duration,o=i.timing,s=i.dir;Ze.cancel(this.$el),Ve(this.$el,this.getCss(co(e,s,n))),Ze.start(this.$el,this.getCss(uo(e)?.5:0<s?1:0),r,o).catch(et)}},{name:"transitioncanceled transitionend",self:!0,el:function(){return this.item},handler:...

		VersionSuspended:   srcOpts.VersionSuspended,
		ReplicationRequest: r.Header.Get(xhttp.MinIOSourceReplicationRequest) == "true",
	}
	getSSE := encrypt.SSE(srcOpts.ServerSideEncryption)
	if getSSE != srcOpts.ServerSideEncryption {
		getOpts.ServerSideEncryption = getSSE
	}

	dstOpts, err = copyDstOpts(ctx, r, dstBucket, dstObject, nil)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)

			errs = appendErrors(errs, ValidateHTTPHeaderWithAuthorityOperationName(name))
			errs = appendErrors(errs, ValidateHTTPHeaderValue(val))
		}
		for name, val := range weight.Headers.GetRequest().GetSet() {
			errs = appendErrors(errs, ValidateHTTPHeaderWithAuthorityOperationName(name))
			errs = appendErrors(errs, ValidateHTTPHeaderValue(val))
		}
		for _, name := range weight.Headers.GetRequest().GetRemove() {

    // If all the users of this op have valid "minmax" attributes, it is matched
    // and can be removed.
    auto fakeQuantOp = cast<FakeQuantOp>(op);
    for (auto* operand : fakeQuantOp.getResult().getUsers())
      if (!HasValidMinMaxAttribute(operand)) return failure();

    return success();
  }

  void rewrite(Operation* op, PatternRewriter& rewriter) const override {

                                                 : rewriter.getBoolAttr(false));

    Value result = op.getResult();
    Operation* result_user_op = *op->getUsers().begin();
    if (isa<TFL::QuantizeOp>(result_user_op) ||
        isa<stablehlo::UniformQuantizeOp>(result_user_op)) {
      result = result_user_op->getResult(0);
    }