_ = setMaxResources(ctx)
	})

	// Verify kernel release and version.
	if oldLinux() {
		warnings = append(warnings, color.YellowBold("- Detected Linux kernel version older than 4.0.0 release, there are some known potential performance problems with this kernel version. MinIO recommends a minimum of 4.x.x linux kernel version for best performance"))
	}

	maxProcs := runtime.GOMAXPROCS(0)

			subrouter.Methods(http.MethodPost).Path(storageRESTVersionPrefix + storageRESTMethodReadVersion).HandlerFunc(h(server.ReadVersionHandler))
			subrouter.Methods(http.MethodPost).Path(storageRESTVersionPrefix + storageRESTMethodReadXL).HandlerFunc(h(server.ReadXLHandler))
			subrouter.Methods(http.MethodPost).Path(storageRESTVersionPrefix + storageRESTMethodCreateFile).HandlerFunc(h(server.CreateFileHandler))

							continue
						}
					} else {
						r = io.NopCloser(bytes.NewBuffer([]byte{}))
					}
					// Keep disk path instead of ID, to ensure that the downloaded zip file can be
					// easily automated with `minio server hostname{1...n}/disk{1...m}`.
					err = fn(r, disk.Hostname(), disk.Endpoint().Path, pathJoin(volume, si.Name), si)
					r.Close()
					if err != nil {
						return err
					}
				}
			}
		}
	}

	processFileDescriptorOpenTotalMD  = NewGaugeMD(processFileDescriptorOpenTotal, "Total number of open file descriptors by the MinIO Server process")
	processSyscallReadTotalMD         = NewCounterMD(processSyscallReadTotal, "Total read SysCalls to the kernel. /proc/[pid]/io syscr")

| `minio_system_cpu_avg_iowait` | `gauge` | Average CPU IOWait time            | `server` |
| `minio_system_cpu_load`       | `gauge` | CPU load average 1min              | `server` |
| `minio_system_cpu_load_perc`  | `gauge` | CPU load average 1min (percentage) | `server` |
| `minio_system_cpu_nice`       | `gauge` | CPU nice time                      | `server` |

Praveen raj Mani <******@****.***> 1714159768 +0530

        based server to register tf.function methods and a GRPC client to invoke
        remote registered methods. RPC APIs are intended for multi-client setups
        i.e. server and clients are started in separate binaries independently.

    *   Example usage to create server: ```python server =
        tf.distribute.experimental.rpc.Server.create("grpc", "127.0.0.1:1234")

| `minio_node_scanner_bucket_scans_started`  | Total number of bucket scans started since server start.    |
| `minio_node_scanner_directories_scanned`   | Total number of directories scanned since server start.     |
| `minio_node_scanner_objects_scanned`       | Total number of unique objects scanned since server start.  |

	}
	if errors.Is(err, grid.ErrDisconnected) {
		return true
	}
	// More corner cases suitable for storage REST API
	switch {
	// A peer node can be in shut down phase and proactively
	// return 503 server closed error, consider it as an offline node
	case strings.Contains(err.Error(), http.ErrServerClosed.Error()):
		return true
	// Corner case, the server closed the connection with a keep-alive timeout

build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl --define=build_with_openmp=true
build:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl_threadpool --define=build_with_mkl_opensource=true