const string& op_device, TF_Status* s,
                            const char* name) {
  TF_Operation* op;
  BinaryOpHelper("Min", l, r, graph, s, name, &op, op_device, true);
  return op;
}

TF_Operation* Min(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
                  TF_Status* s, const char* name) {
  return MinWithDevice(l, r, graph, /*op_device=*/"", s, name);
}

	@scp -q -r minio-release/$(GOOS)-$(GOARCH)/* ******@****.***:~/releases/server/minio/hotfixes/linux-amd64/archive
	@echo "Published new hotfix binaries at https://dl.min.io/server/minio/hotfixes/linux-amd64/archive/minio.$(VERSION)"

docker-hotfix-push: docker-hotfix
	@docker push -q $(TAG) && echo "Published new container $(TAG)"

  - [Installing Spark](https://docs.hortonworks.com/HDPDocuments/HDP3/HDP-3.0.1/installing-spark/content/installing_spark.html)
- Install MinIO Distributed Server using one of the guides below.
  - [Deployment based on Kubernetes](https://min.io/docs/minio/kubernetes/upstream/index.html#quickstart-for-kubernetes)
  - [Deployment based on MinIO Helm Chart](https://github.com/helm/charts/tree/master/stable/minio)

## **3. Configure Hadoop, Spark, Hive to use MinIO**

        regA(builder);
        return builder;
    }

    protected MinAggregationBuilder regMinA(String name, String field) {
        MinAggregationBuilder builder = AggregationBuilders.min(name).field(field);
        regA(builder);
        return builder;
    }

    protected SumAggregationBuilder regSumA(String name, String field) {

        regA(builder);
        return builder;
    }

    protected MinAggregationBuilder regMinA(String name, String field) {
        MinAggregationBuilder builder = AggregationBuilders.min(name).field(field);
        regA(builder);
        return builder;
    }

    protected SumAggregationBuilder regSumA(String name, String field) {

                         TF_Status* status) {
  tensorflow::FunctionDefLibrary lib;
  {
    tensorflow::mutex_lock l(g->mu);
    lib = g->graph.flib_def().ToProto();
  }
  const auto len = std::min(max_func, static_cast<int>(lib.function_size()));
  for (int i = 0; i < len; ++i) {
    TF_Function* func = new TF_Function();
    func->record = new tensorflow::FunctionRecord(lib.function(i), {}, false);
    funcs[i] = func;

Hoặc theo một cách nào khác, không cần chúng, import và sử dụng code bạn cần.

Bất kì tích hợp nào được thiết kế để sử dụng đơn giản (với các dependency), đến nỗi bạn có thể tạo một "plug-in" cho ứng dụng của mình trong 2 dòng code bằng cách sử dụng cùng một cấu trúc và cú pháp được sử dụng cho *path operations* của bạn.

### Đã được kiểm thử

* 100% <abbr title=" Lượng code đã được kiểm thử tự động">test coverage</abbr>.

Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's a lot easier to handle.

/// tip

Also, keep in mind that depending on your setup, in some cases you **might not even need any previous steps** before starting your application.

In that case, you wouldn't have to worry about any of this. 🤷

///

The important thing to keep in mind is that the `sub` key should have a unique identifier across the entire application, and it should be a string.

## Check it

/// tip

Some tools like Dependabot, will add some labels, like `dependencies`, but have in mind that this label is not used by the `latest-changes` GitHub Action, so it won't be used in the release notes. Please make sure one of the labels above is added.

///

## Add Labels to Translation PRs