/
service_config.pb.go
478 lines (435 loc) · 21.7 KB
/
service_config.pb.go
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// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/core/protobuf/service_config.proto
package protobuf
import (
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
reflect "reflect"
sync "sync"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// Configuration for a tf.data service DispatchServer.
// Next id: 10
type DispatcherConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The port for the dispatcher to bind to. A value of 0 indicates that the
// dispatcher may bind to any available port.
Port int64 `protobuf:"varint,1,opt,name=port,proto3" json:"port,omitempty"`
// The protocol for the dispatcher to use when connecting to workers.
Protocol string `protobuf:"bytes,2,opt,name=protocol,proto3" json:"protocol,omitempty"`
// A work directory to use for storing dispatcher state, and for recovering
// during restarts. The empty string indicates not to use any work directory.
WorkDir string `protobuf:"bytes,3,opt,name=work_dir,json=workDir,proto3" json:"work_dir,omitempty"`
// Whether to run in fault tolerant mode, where dispatcher state is saved
// across restarts. Requires that `work_dir` is nonempty.
FaultTolerantMode bool `protobuf:"varint,4,opt,name=fault_tolerant_mode,json=faultTolerantMode,proto3" json:"fault_tolerant_mode,omitempty"`
// (Optional.) If the job uses auto-sharding, it needs to specify a fixed list
// of worker addresses that will register with the dispatcher. The worker
// addresses should be in the format "host" or "host:port", where "port" is an
// integer, named port, or %port% to match any port.
WorkerAddresses []string `protobuf:"bytes,7,rep,name=worker_addresses,json=workerAddresses,proto3" json:"worker_addresses,omitempty"`
// (Optional.) tf.data service deployment mode. Supported values are "REMOTE",
// "COLOCATED", and "HYBRID". If unspecified, it is assumed to be "REMOTE".
DeploymentMode DeploymentMode `protobuf:"varint,9,opt,name=deployment_mode,json=deploymentMode,proto3,enum=tensorflow.data.DeploymentMode" json:"deployment_mode,omitempty"`
// How often the dispatcher should scan through to delete old and unused
// jobs. A value of 0 indicates that the decision should be left up to the
// runtime.
JobGcCheckIntervalMs int64 `protobuf:"varint,5,opt,name=job_gc_check_interval_ms,json=jobGcCheckIntervalMs,proto3" json:"job_gc_check_interval_ms,omitempty"`
// How long a job needs to be unused before it becomes a candidate for garbage
// collection. A value of -1 indicates that jobs should never be garbage
// collected. A value of 0 indicates that the decision should be left up to
// the runtime.
JobGcTimeoutMs int64 `protobuf:"varint,6,opt,name=job_gc_timeout_ms,json=jobGcTimeoutMs,proto3" json:"job_gc_timeout_ms,omitempty"`
// How long to wait before garbage-collecting a client that hasn't
// heartbeated to the dispatcher. A value of 0 indicates that the timeout
// should be left to the runtime.
ClientTimeoutMs int64 `protobuf:"varint,8,opt,name=client_timeout_ms,json=clientTimeoutMs,proto3" json:"client_timeout_ms,omitempty"`
}
func (x *DispatcherConfig) Reset() {
*x = DispatcherConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_service_config_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *DispatcherConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*DispatcherConfig) ProtoMessage() {}
func (x *DispatcherConfig) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_service_config_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use DispatcherConfig.ProtoReflect.Descriptor instead.
func (*DispatcherConfig) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_service_config_proto_rawDescGZIP(), []int{0}
}
func (x *DispatcherConfig) GetPort() int64 {
if x != nil {
return x.Port
}
return 0
}
func (x *DispatcherConfig) GetProtocol() string {
if x != nil {
return x.Protocol
}
return ""
}
func (x *DispatcherConfig) GetWorkDir() string {
if x != nil {
return x.WorkDir
}
return ""
}
func (x *DispatcherConfig) GetFaultTolerantMode() bool {
if x != nil {
return x.FaultTolerantMode
}
return false
}
func (x *DispatcherConfig) GetWorkerAddresses() []string {
if x != nil {
return x.WorkerAddresses
}
return nil
}
func (x *DispatcherConfig) GetDeploymentMode() DeploymentMode {
if x != nil {
return x.DeploymentMode
}
return DeploymentMode_DEPLOYMENT_MODE_UNSPECIFIED
}
func (x *DispatcherConfig) GetJobGcCheckIntervalMs() int64 {
if x != nil {
return x.JobGcCheckIntervalMs
}
return 0
}
func (x *DispatcherConfig) GetJobGcTimeoutMs() int64 {
if x != nil {
return x.JobGcTimeoutMs
}
return 0
}
func (x *DispatcherConfig) GetClientTimeoutMs() int64 {
if x != nil {
return x.ClientTimeoutMs
}
return 0
}
// Configuration for a tf.data service WorkerServer.
// Next id: 12
type WorkerConfig struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The port for the worker to bind to. A value of 0 indicates that the
// worker may bind to any available port.
Port int64 `protobuf:"varint,1,opt,name=port,proto3" json:"port,omitempty"`
// The protocol for the worker to use when connecting to the dispatcher.
Protocol string `protobuf:"bytes,2,opt,name=protocol,proto3" json:"protocol,omitempty"`
// The address of the dispatcher to register with.
DispatcherAddress string `protobuf:"bytes,3,opt,name=dispatcher_address,json=dispatcherAddress,proto3" json:"dispatcher_address,omitempty"`
// The address of the worker server. The substring "%port%", if specified,
// will be replaced with the worker's bound port. This is useful when the port
// is set to `0`.
WorkerAddress string `protobuf:"bytes,4,opt,name=worker_address,json=workerAddress,proto3" json:"worker_address,omitempty"`
// Tags attached to the worker. This allows reading from selected workers.
// For example, by applying a "COLOCATED" tag, tf.data service is able to read
// from the local tf.data worker if one exists, then from off-TF-host workers,
// to avoid cross-TF-host reads.
WorkerTags []string `protobuf:"bytes,10,rep,name=worker_tags,json=workerTags,proto3" json:"worker_tags,omitempty"`
// How often the worker should heartbeat to the master. A value of 0 indicates
// that the decision should be left up to the runtime.
HeartbeatIntervalMs int64 `protobuf:"varint,5,opt,name=heartbeat_interval_ms,json=heartbeatIntervalMs,proto3" json:"heartbeat_interval_ms,omitempty"`
// How long to retry requests to the dispatcher before giving up and reporting
// an error. A value of 0 indicates that the decision should be left up to the
// runtime.
DispatcherTimeoutMs int64 `protobuf:"varint,6,opt,name=dispatcher_timeout_ms,json=dispatcherTimeoutMs,proto3" json:"dispatcher_timeout_ms,omitempty"`
// The protocol for the worker to use when transferring data to clients.
DataTransferProtocol string `protobuf:"bytes,7,opt,name=data_transfer_protocol,json=dataTransferProtocol,proto3" json:"data_transfer_protocol,omitempty"`
// The data transfer address of the worker server. The substring "%port%", if
// specified, will be replaced with the worker's bound port. This is useful
// when the port is set to `0`.
DataTransferAddress string `protobuf:"bytes,8,opt,name=data_transfer_address,json=dataTransferAddress,proto3" json:"data_transfer_address,omitempty"`
// Maximum size of the cross-trainer cache in bytes. If enabled, make sure
// your training job provides sufficient memory resources.
CrossTrainerCacheSizeBytes int64 `protobuf:"varint,11,opt,name=cross_trainer_cache_size_bytes,json=crossTrainerCacheSizeBytes,proto3" json:"cross_trainer_cache_size_bytes,omitempty"`
// When shutting down a worker, how long to wait for the gRPC server to
// process the final requests. This is used to achieve clean shutdown in unit
// tests.
ShutdownQuietPeriodMs int64 `protobuf:"varint,9,opt,name=shutdown_quiet_period_ms,json=shutdownQuietPeriodMs,proto3" json:"shutdown_quiet_period_ms,omitempty"`
}
func (x *WorkerConfig) Reset() {
*x = WorkerConfig{}
if protoimpl.UnsafeEnabled {
mi := &file_tensorflow_core_protobuf_service_config_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *WorkerConfig) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*WorkerConfig) ProtoMessage() {}
func (x *WorkerConfig) ProtoReflect() protoreflect.Message {
mi := &file_tensorflow_core_protobuf_service_config_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use WorkerConfig.ProtoReflect.Descriptor instead.
func (*WorkerConfig) Descriptor() ([]byte, []int) {
return file_tensorflow_core_protobuf_service_config_proto_rawDescGZIP(), []int{1}
}
func (x *WorkerConfig) GetPort() int64 {
if x != nil {
return x.Port
}
return 0
}
func (x *WorkerConfig) GetProtocol() string {
if x != nil {
return x.Protocol
}
return ""
}
func (x *WorkerConfig) GetDispatcherAddress() string {
if x != nil {
return x.DispatcherAddress
}
return ""
}
func (x *WorkerConfig) GetWorkerAddress() string {
if x != nil {
return x.WorkerAddress
}
return ""
}
func (x *WorkerConfig) GetWorkerTags() []string {
if x != nil {
return x.WorkerTags
}
return nil
}
func (x *WorkerConfig) GetHeartbeatIntervalMs() int64 {
if x != nil {
return x.HeartbeatIntervalMs
}
return 0
}
func (x *WorkerConfig) GetDispatcherTimeoutMs() int64 {
if x != nil {
return x.DispatcherTimeoutMs
}
return 0
}
func (x *WorkerConfig) GetDataTransferProtocol() string {
if x != nil {
return x.DataTransferProtocol
}
return ""
}
func (x *WorkerConfig) GetDataTransferAddress() string {
if x != nil {
return x.DataTransferAddress
}
return ""
}
func (x *WorkerConfig) GetCrossTrainerCacheSizeBytes() int64 {
if x != nil {
return x.CrossTrainerCacheSizeBytes
}
return 0
}
func (x *WorkerConfig) GetShutdownQuietPeriodMs() int64 {
if x != nil {
return x.ShutdownQuietPeriodMs
}
return 0
}
var File_tensorflow_core_protobuf_service_config_proto protoreflect.FileDescriptor
var file_tensorflow_core_protobuf_service_config_proto_rawDesc = []byte{
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var (
file_tensorflow_core_protobuf_service_config_proto_rawDescOnce sync.Once
file_tensorflow_core_protobuf_service_config_proto_rawDescData = file_tensorflow_core_protobuf_service_config_proto_rawDesc
)
func file_tensorflow_core_protobuf_service_config_proto_rawDescGZIP() []byte {
file_tensorflow_core_protobuf_service_config_proto_rawDescOnce.Do(func() {
file_tensorflow_core_protobuf_service_config_proto_rawDescData = protoimpl.X.CompressGZIP(file_tensorflow_core_protobuf_service_config_proto_rawDescData)
})
return file_tensorflow_core_protobuf_service_config_proto_rawDescData
}
var file_tensorflow_core_protobuf_service_config_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_tensorflow_core_protobuf_service_config_proto_goTypes = []interface{}{
(*DispatcherConfig)(nil), // 0: tensorflow.data.experimental.DispatcherConfig
(*WorkerConfig)(nil), // 1: tensorflow.data.experimental.WorkerConfig
(DeploymentMode)(0), // 2: tensorflow.data.DeploymentMode
}
var file_tensorflow_core_protobuf_service_config_proto_depIdxs = []int32{
2, // 0: tensorflow.data.experimental.DispatcherConfig.deployment_mode:type_name -> tensorflow.data.DeploymentMode
1, // [1:1] is the sub-list for method output_type
1, // [1:1] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_tensorflow_core_protobuf_service_config_proto_init() }
func file_tensorflow_core_protobuf_service_config_proto_init() {
if File_tensorflow_core_protobuf_service_config_proto != nil {
return
}
file_tensorflow_core_protobuf_data_service_proto_init()
if !protoimpl.UnsafeEnabled {
file_tensorflow_core_protobuf_service_config_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*DispatcherConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_tensorflow_core_protobuf_service_config_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*WorkerConfig); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_tensorflow_core_protobuf_service_config_proto_rawDesc,
NumEnums: 0,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_tensorflow_core_protobuf_service_config_proto_goTypes,
DependencyIndexes: file_tensorflow_core_protobuf_service_config_proto_depIdxs,
MessageInfos: file_tensorflow_core_protobuf_service_config_proto_msgTypes,
}.Build()
File_tensorflow_core_protobuf_service_config_proto = out.File
file_tensorflow_core_protobuf_service_config_proto_rawDesc = nil
file_tensorflow_core_protobuf_service_config_proto_goTypes = nil
file_tensorflow_core_protobuf_service_config_proto_depIdxs = nil
}