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- // Code generated by protoc-gen-go. DO NOT EDIT.
- // source: google/cloud/ml/v1/job_service.proto
-
- package ml // import "google.golang.org/genproto/googleapis/cloud/ml/v1"
-
- import proto "github.com/golang/protobuf/proto"
- import fmt "fmt"
- import math "math"
- import empty "github.com/golang/protobuf/ptypes/empty"
- import timestamp "github.com/golang/protobuf/ptypes/timestamp"
- import _ "google.golang.org/genproto/googleapis/api/annotations"
- import _ "google.golang.org/genproto/googleapis/api/serviceconfig"
-
- import (
- context "golang.org/x/net/context"
- grpc "google.golang.org/grpc"
- )
-
- // Reference imports to suppress errors if they are not otherwise used.
- var _ = proto.Marshal
- var _ = fmt.Errorf
- var _ = math.Inf
-
- // This is a compile-time assertion to ensure that this generated file
- // is compatible with the proto package it is being compiled against.
- // A compilation error at this line likely means your copy of the
- // proto package needs to be updated.
- const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
-
- // A scale tier is an abstract representation of the resources Cloud ML
- // will allocate to a training job. When selecting a scale tier for your
- // training job, you should consider the size of your training dataset and
- // the complexity of your model. As the tiers increase, virtual machines are
- // added to handle your job, and the individual machines in the cluster
- // generally have more memory and greater processing power than they do at
- // lower tiers. The number of training units charged per hour of processing
- // increases as tiers get more advanced. Refer to the
- // [pricing guide](/ml/pricing) for more details. Note that in addition to
- // incurring costs, your use of training resources is constrained by the
- // [quota policy](/ml/quota).
- type TrainingInput_ScaleTier int32
-
- const (
- // A single worker instance. This tier is suitable for learning how to use
- // Cloud ML, and for experimenting with new models using small datasets.
- TrainingInput_BASIC TrainingInput_ScaleTier = 0
- // Many workers and a few parameter servers.
- TrainingInput_STANDARD_1 TrainingInput_ScaleTier = 1
- // A large number of workers with many parameter servers.
- TrainingInput_PREMIUM_1 TrainingInput_ScaleTier = 3
- // A single worker instance [with a GPU](ml/docs/how-tos/using-gpus).
- TrainingInput_BASIC_GPU TrainingInput_ScaleTier = 6
- // The CUSTOM tier is not a set tier, but rather enables you to use your
- // own cluster specification. When you use this tier, set values to
- // configure your processing cluster according to these guidelines:
- //
- // * You _must_ set `TrainingInput.masterType` to specify the type
- // of machine to use for your master node. This is the only required
- // setting.
- //
- // * You _may_ set `TrainingInput.workerCount` to specify the number of
- // workers to use. If you specify one or more workers, you _must_ also
- // set `TrainingInput.workerType` to specify the type of machine to use
- // for your worker nodes.
- //
- // * You _may_ set `TrainingInput.parameterServerCount` to specify the
- // number of parameter servers to use. If you specify one or more
- // parameter servers, you _must_ also set
- // `TrainingInput.parameterServerType` to specify the type of machine to
- // use for your parameter servers.
- //
- // Note that all of your workers must use the same machine type, which can
- // be different from your parameter server type and master type. Your
- // parameter servers must likewise use the same machine type, which can be
- // different from your worker type and master type.
- TrainingInput_CUSTOM TrainingInput_ScaleTier = 5
- )
-
- var TrainingInput_ScaleTier_name = map[int32]string{
- 0: "BASIC",
- 1: "STANDARD_1",
- 3: "PREMIUM_1",
- 6: "BASIC_GPU",
- 5: "CUSTOM",
- }
- var TrainingInput_ScaleTier_value = map[string]int32{
- "BASIC": 0,
- "STANDARD_1": 1,
- "PREMIUM_1": 3,
- "BASIC_GPU": 6,
- "CUSTOM": 5,
- }
-
- func (x TrainingInput_ScaleTier) String() string {
- return proto.EnumName(TrainingInput_ScaleTier_name, int32(x))
- }
- func (TrainingInput_ScaleTier) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{0, 0}
- }
-
- // The available types of optimization goals.
- type HyperparameterSpec_GoalType int32
-
- const (
- // Goal Type will default to maximize.
- HyperparameterSpec_GOAL_TYPE_UNSPECIFIED HyperparameterSpec_GoalType = 0
- // Maximize the goal metric.
- HyperparameterSpec_MAXIMIZE HyperparameterSpec_GoalType = 1
- // Minimize the goal metric.
- HyperparameterSpec_MINIMIZE HyperparameterSpec_GoalType = 2
- )
-
- var HyperparameterSpec_GoalType_name = map[int32]string{
- 0: "GOAL_TYPE_UNSPECIFIED",
- 1: "MAXIMIZE",
- 2: "MINIMIZE",
- }
- var HyperparameterSpec_GoalType_value = map[string]int32{
- "GOAL_TYPE_UNSPECIFIED": 0,
- "MAXIMIZE": 1,
- "MINIMIZE": 2,
- }
-
- func (x HyperparameterSpec_GoalType) String() string {
- return proto.EnumName(HyperparameterSpec_GoalType_name, int32(x))
- }
- func (HyperparameterSpec_GoalType) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{1, 0}
- }
-
- // The type of the parameter.
- type ParameterSpec_ParameterType int32
-
- const (
- // You must specify a valid type. Using this unspecified type will result in
- // an error.
- ParameterSpec_PARAMETER_TYPE_UNSPECIFIED ParameterSpec_ParameterType = 0
- // Type for real-valued parameters.
- ParameterSpec_DOUBLE ParameterSpec_ParameterType = 1
- // Type for integral parameters.
- ParameterSpec_INTEGER ParameterSpec_ParameterType = 2
- // The parameter is categorical, with a value chosen from the categories
- // field.
- ParameterSpec_CATEGORICAL ParameterSpec_ParameterType = 3
- // The parameter is real valued, with a fixed set of feasible points. If
- // `type==DISCRETE`, feasible_points must be provided, and
- // {`min_value`, `max_value`} will be ignored.
- ParameterSpec_DISCRETE ParameterSpec_ParameterType = 4
- )
-
- var ParameterSpec_ParameterType_name = map[int32]string{
- 0: "PARAMETER_TYPE_UNSPECIFIED",
- 1: "DOUBLE",
- 2: "INTEGER",
- 3: "CATEGORICAL",
- 4: "DISCRETE",
- }
- var ParameterSpec_ParameterType_value = map[string]int32{
- "PARAMETER_TYPE_UNSPECIFIED": 0,
- "DOUBLE": 1,
- "INTEGER": 2,
- "CATEGORICAL": 3,
- "DISCRETE": 4,
- }
-
- func (x ParameterSpec_ParameterType) String() string {
- return proto.EnumName(ParameterSpec_ParameterType_name, int32(x))
- }
- func (ParameterSpec_ParameterType) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{2, 0}
- }
-
- // The type of scaling that should be applied to this parameter.
- type ParameterSpec_ScaleType int32
-
- const (
- // By default, no scaling is applied.
- ParameterSpec_NONE ParameterSpec_ScaleType = 0
- // Scales the feasible space to (0, 1) linearly.
- ParameterSpec_UNIT_LINEAR_SCALE ParameterSpec_ScaleType = 1
- // Scales the feasible space logarithmically to (0, 1). The entire feasible
- // space must be strictly positive.
- ParameterSpec_UNIT_LOG_SCALE ParameterSpec_ScaleType = 2
- // Scales the feasible space "reverse" logarithmically to (0, 1). The result
- // is that values close to the top of the feasible space are spread out more
- // than points near the bottom. The entire feasible space must be strictly
- // positive.
- ParameterSpec_UNIT_REVERSE_LOG_SCALE ParameterSpec_ScaleType = 3
- )
-
- var ParameterSpec_ScaleType_name = map[int32]string{
- 0: "NONE",
- 1: "UNIT_LINEAR_SCALE",
- 2: "UNIT_LOG_SCALE",
- 3: "UNIT_REVERSE_LOG_SCALE",
- }
- var ParameterSpec_ScaleType_value = map[string]int32{
- "NONE": 0,
- "UNIT_LINEAR_SCALE": 1,
- "UNIT_LOG_SCALE": 2,
- "UNIT_REVERSE_LOG_SCALE": 3,
- }
-
- func (x ParameterSpec_ScaleType) String() string {
- return proto.EnumName(ParameterSpec_ScaleType_name, int32(x))
- }
- func (ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{2, 1}
- }
-
- // The format used to separate data instances in the source files.
- type PredictionInput_DataFormat int32
-
- const (
- // Unspecified format.
- PredictionInput_DATA_FORMAT_UNSPECIFIED PredictionInput_DataFormat = 0
- // The source file is a text file with instances separated by the
- // new-line character.
- PredictionInput_TEXT PredictionInput_DataFormat = 1
- // The source file is a TFRecord file.
- PredictionInput_TF_RECORD PredictionInput_DataFormat = 2
- // The source file is a GZIP-compressed TFRecord file.
- PredictionInput_TF_RECORD_GZIP PredictionInput_DataFormat = 3
- )
-
- var PredictionInput_DataFormat_name = map[int32]string{
- 0: "DATA_FORMAT_UNSPECIFIED",
- 1: "TEXT",
- 2: "TF_RECORD",
- 3: "TF_RECORD_GZIP",
- }
- var PredictionInput_DataFormat_value = map[string]int32{
- "DATA_FORMAT_UNSPECIFIED": 0,
- "TEXT": 1,
- "TF_RECORD": 2,
- "TF_RECORD_GZIP": 3,
- }
-
- func (x PredictionInput_DataFormat) String() string {
- return proto.EnumName(PredictionInput_DataFormat_name, int32(x))
- }
- func (PredictionInput_DataFormat) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{5, 0}
- }
-
- // Describes the job state.
- type Job_State int32
-
- const (
- // The job state is unspecified.
- Job_STATE_UNSPECIFIED Job_State = 0
- // The job has been just created and processing has not yet begun.
- Job_QUEUED Job_State = 1
- // The service is preparing to run the job.
- Job_PREPARING Job_State = 2
- // The job is in progress.
- Job_RUNNING Job_State = 3
- // The job completed successfully.
- Job_SUCCEEDED Job_State = 4
- // The job failed.
- // `error_message` should contain the details of the failure.
- Job_FAILED Job_State = 5
- // The job is being cancelled.
- // `error_message` should describe the reason for the cancellation.
- Job_CANCELLING Job_State = 6
- // The job has been cancelled.
- // `error_message` should describe the reason for the cancellation.
- Job_CANCELLED Job_State = 7
- )
-
- var Job_State_name = map[int32]string{
- 0: "STATE_UNSPECIFIED",
- 1: "QUEUED",
- 2: "PREPARING",
- 3: "RUNNING",
- 4: "SUCCEEDED",
- 5: "FAILED",
- 6: "CANCELLING",
- 7: "CANCELLED",
- }
- var Job_State_value = map[string]int32{
- "STATE_UNSPECIFIED": 0,
- "QUEUED": 1,
- "PREPARING": 2,
- "RUNNING": 3,
- "SUCCEEDED": 4,
- "FAILED": 5,
- "CANCELLING": 6,
- "CANCELLED": 7,
- }
-
- func (x Job_State) String() string {
- return proto.EnumName(Job_State_name, int32(x))
- }
- func (Job_State) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{7, 0}
- }
-
- // Represents input parameters for a training job.
- type TrainingInput struct {
- // Required. Specifies the machine types, the number of replicas for workers
- // and parameter servers.
- ScaleTier TrainingInput_ScaleTier `protobuf:"varint,1,opt,name=scale_tier,json=scaleTier,proto3,enum=google.cloud.ml.v1.TrainingInput_ScaleTier" json:"scale_tier,omitempty"`
- // Optional. Specifies the type of virtual machine to use for your training
- // job's master worker.
- //
- // The following types are supported:
- //
- // <dl>
- // <dt>standard</dt>
- // <dd>
- // A basic machine configuration suitable for training simple models with
- // small to moderate datasets.
- // </dd>
- // <dt>large_model</dt>
- // <dd>
- // A machine with a lot of memory, specially suited for parameter servers
- // when your model is large (having many hidden layers or layers with very
- // large numbers of nodes).
- // </dd>
- // <dt>complex_model_s</dt>
- // <dd>
- // A machine suitable for the master and workers of the cluster when your
- // model requires more computation than the standard machine can handle
- // satisfactorily.
- // </dd>
- // <dt>complex_model_m</dt>
- // <dd>
- // A machine with roughly twice the number of cores and roughly double the
- // memory of <code suppresswarning="true">complex_model_s</code>.
- // </dd>
- // <dt>complex_model_l</dt>
- // <dd>
- // A machine with roughly twice the number of cores and roughly double the
- // memory of <code suppresswarning="true">complex_model_m</code>.
- // </dd>
- // <dt>standard_gpu</dt>
- // <dd>
- // A machine equivalent to <code suppresswarning="true">standard</code> that
- // also includes a
- // <a href="ml/docs/how-tos/using-gpus">
- // GPU that you can use in your trainer</a>.
- // </dd>
- // <dt>complex_model_m_gpu</dt>
- // <dd>
- // A machine equivalent to
- // <code suppresswarning="true">coplex_model_m</code> that also includes
- // four GPUs.
- // </dd>
- // </dl>
- //
- // You must set this value when `scaleTier` is set to `CUSTOM`.
- MasterType string `protobuf:"bytes,2,opt,name=master_type,json=masterType,proto3" json:"master_type,omitempty"`
- // Optional. Specifies the type of virtual machine to use for your training
- // job's worker nodes.
- //
- // The supported values are the same as those described in the entry for
- // `masterType`.
- //
- // This value must be present when `scaleTier` is set to `CUSTOM` and
- // `workerCount` is greater than zero.
- WorkerType string `protobuf:"bytes,3,opt,name=worker_type,json=workerType,proto3" json:"worker_type,omitempty"`
- // Optional. Specifies the type of virtual machine to use for your training
- // job's parameter server.
- //
- // The supported values are the same as those described in the entry for
- // `master_type`.
- //
- // This value must be present when `scaleTier` is set to `CUSTOM` and
- // `parameter_server_count` is greater than zero.
- ParameterServerType string `protobuf:"bytes,4,opt,name=parameter_server_type,json=parameterServerType,proto3" json:"parameter_server_type,omitempty"`
- // Optional. The number of worker replicas to use for the training job. Each
- // replica in the cluster will be of the type specified in `worker_type`.
- //
- // This value can only be used when `scale_tier` is set to `CUSTOM`. If you
- // set this value, you must also set `worker_type`.
- WorkerCount int64 `protobuf:"varint,5,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
- // Optional. The number of parameter server replicas to use for the training
- // job. Each replica in the cluster will be of the type specified in
- // `parameter_server_type`.
- //
- // This value can only be used when `scale_tier` is set to `CUSTOM`.If you
- // set this value, you must also set `parameter_server_type`.
- ParameterServerCount int64 `protobuf:"varint,6,opt,name=parameter_server_count,json=parameterServerCount,proto3" json:"parameter_server_count,omitempty"`
- // Required. The Google Cloud Storage location of the packages with
- // the training program and any additional dependencies.
- PackageUris []string `protobuf:"bytes,7,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
- // Required. The Python module name to run after installing the packages.
- PythonModule string `protobuf:"bytes,8,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
- // Optional. Command line arguments to pass to the program.
- Args []string `protobuf:"bytes,10,rep,name=args,proto3" json:"args,omitempty"`
- // Optional. The set of Hyperparameters to tune.
- Hyperparameters *HyperparameterSpec `protobuf:"bytes,12,opt,name=hyperparameters,proto3" json:"hyperparameters,omitempty"`
- // Required. The Google Compute Engine region to run the training job in.
- Region string `protobuf:"bytes,14,opt,name=region,proto3" json:"region,omitempty"`
- // Optional. A Google Cloud Storage path in which to store training outputs
- // and other data needed for training. This path is passed to your TensorFlow
- // program as the 'job_dir' command-line argument. The benefit of specifying
- // this field is that Cloud ML validates the path for use in training.
- JobDir string `protobuf:"bytes,16,opt,name=job_dir,json=jobDir,proto3" json:"job_dir,omitempty"`
- // Optional. The Google Cloud ML runtime version to use for training. If not
- // set, Google Cloud ML will choose the latest stable version.
- RuntimeVersion string `protobuf:"bytes,15,opt,name=runtime_version,json=runtimeVersion,proto3" json:"runtime_version,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *TrainingInput) Reset() { *m = TrainingInput{} }
- func (m *TrainingInput) String() string { return proto.CompactTextString(m) }
- func (*TrainingInput) ProtoMessage() {}
- func (*TrainingInput) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{0}
- }
- func (m *TrainingInput) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_TrainingInput.Unmarshal(m, b)
- }
- func (m *TrainingInput) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_TrainingInput.Marshal(b, m, deterministic)
- }
- func (dst *TrainingInput) XXX_Merge(src proto.Message) {
- xxx_messageInfo_TrainingInput.Merge(dst, src)
- }
- func (m *TrainingInput) XXX_Size() int {
- return xxx_messageInfo_TrainingInput.Size(m)
- }
- func (m *TrainingInput) XXX_DiscardUnknown() {
- xxx_messageInfo_TrainingInput.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_TrainingInput proto.InternalMessageInfo
-
- func (m *TrainingInput) GetScaleTier() TrainingInput_ScaleTier {
- if m != nil {
- return m.ScaleTier
- }
- return TrainingInput_BASIC
- }
-
- func (m *TrainingInput) GetMasterType() string {
- if m != nil {
- return m.MasterType
- }
- return ""
- }
-
- func (m *TrainingInput) GetWorkerType() string {
- if m != nil {
- return m.WorkerType
- }
- return ""
- }
-
- func (m *TrainingInput) GetParameterServerType() string {
- if m != nil {
- return m.ParameterServerType
- }
- return ""
- }
-
- func (m *TrainingInput) GetWorkerCount() int64 {
- if m != nil {
- return m.WorkerCount
- }
- return 0
- }
-
- func (m *TrainingInput) GetParameterServerCount() int64 {
- if m != nil {
- return m.ParameterServerCount
- }
- return 0
- }
-
- func (m *TrainingInput) GetPackageUris() []string {
- if m != nil {
- return m.PackageUris
- }
- return nil
- }
-
- func (m *TrainingInput) GetPythonModule() string {
- if m != nil {
- return m.PythonModule
- }
- return ""
- }
-
- func (m *TrainingInput) GetArgs() []string {
- if m != nil {
- return m.Args
- }
- return nil
- }
-
- func (m *TrainingInput) GetHyperparameters() *HyperparameterSpec {
- if m != nil {
- return m.Hyperparameters
- }
- return nil
- }
-
- func (m *TrainingInput) GetRegion() string {
- if m != nil {
- return m.Region
- }
- return ""
- }
-
- func (m *TrainingInput) GetJobDir() string {
- if m != nil {
- return m.JobDir
- }
- return ""
- }
-
- func (m *TrainingInput) GetRuntimeVersion() string {
- if m != nil {
- return m.RuntimeVersion
- }
- return ""
- }
-
- // Represents a set of hyperparameters to optimize.
- type HyperparameterSpec struct {
- // Required. The type of goal to use for tuning. Available types are
- // `MAXIMIZE` and `MINIMIZE`.
- //
- // Defaults to `MAXIMIZE`.
- Goal HyperparameterSpec_GoalType `protobuf:"varint,1,opt,name=goal,proto3,enum=google.cloud.ml.v1.HyperparameterSpec_GoalType" json:"goal,omitempty"`
- // Required. The set of parameters to tune.
- Params []*ParameterSpec `protobuf:"bytes,2,rep,name=params,proto3" json:"params,omitempty"`
- // Optional. How many training trials should be attempted to optimize
- // the specified hyperparameters.
- //
- // Defaults to one.
- MaxTrials int32 `protobuf:"varint,3,opt,name=max_trials,json=maxTrials,proto3" json:"max_trials,omitempty"`
- // Optional. The number of training trials to run concurrently.
- // You can reduce the time it takes to perform hyperparameter tuning by adding
- // trials in parallel. However, each trail only benefits from the information
- // gained in completed trials. That means that a trial does not get access to
- // the results of trials running at the same time, which could reduce the
- // quality of the overall optimization.
- //
- // Each trial will use the same scale tier and machine types.
- //
- // Defaults to one.
- MaxParallelTrials int32 `protobuf:"varint,4,opt,name=max_parallel_trials,json=maxParallelTrials,proto3" json:"max_parallel_trials,omitempty"`
- // Optional. The Tensorflow summary tag name to use for optimizing trials. For
- // current versions of Tensorflow, this tag name should exactly match what is
- // shown in Tensorboard, including all scopes. For versions of Tensorflow
- // prior to 0.12, this should be only the tag passed to tf.Summary.
- // By default, "training/hptuning/metric" will be used.
- HyperparameterMetricTag string `protobuf:"bytes,5,opt,name=hyperparameter_metric_tag,json=hyperparameterMetricTag,proto3" json:"hyperparameter_metric_tag,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *HyperparameterSpec) Reset() { *m = HyperparameterSpec{} }
- func (m *HyperparameterSpec) String() string { return proto.CompactTextString(m) }
- func (*HyperparameterSpec) ProtoMessage() {}
- func (*HyperparameterSpec) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{1}
- }
- func (m *HyperparameterSpec) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_HyperparameterSpec.Unmarshal(m, b)
- }
- func (m *HyperparameterSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_HyperparameterSpec.Marshal(b, m, deterministic)
- }
- func (dst *HyperparameterSpec) XXX_Merge(src proto.Message) {
- xxx_messageInfo_HyperparameterSpec.Merge(dst, src)
- }
- func (m *HyperparameterSpec) XXX_Size() int {
- return xxx_messageInfo_HyperparameterSpec.Size(m)
- }
- func (m *HyperparameterSpec) XXX_DiscardUnknown() {
- xxx_messageInfo_HyperparameterSpec.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_HyperparameterSpec proto.InternalMessageInfo
-
- func (m *HyperparameterSpec) GetGoal() HyperparameterSpec_GoalType {
- if m != nil {
- return m.Goal
- }
- return HyperparameterSpec_GOAL_TYPE_UNSPECIFIED
- }
-
- func (m *HyperparameterSpec) GetParams() []*ParameterSpec {
- if m != nil {
- return m.Params
- }
- return nil
- }
-
- func (m *HyperparameterSpec) GetMaxTrials() int32 {
- if m != nil {
- return m.MaxTrials
- }
- return 0
- }
-
- func (m *HyperparameterSpec) GetMaxParallelTrials() int32 {
- if m != nil {
- return m.MaxParallelTrials
- }
- return 0
- }
-
- func (m *HyperparameterSpec) GetHyperparameterMetricTag() string {
- if m != nil {
- return m.HyperparameterMetricTag
- }
- return ""
- }
-
- // Represents a single hyperparameter to optimize.
- type ParameterSpec struct {
- // Required. The parameter name must be unique amongst all ParameterConfigs in
- // a HyperparameterSpec message. E.g., "learning_rate".
- ParameterName string `protobuf:"bytes,1,opt,name=parameter_name,json=parameterName,proto3" json:"parameter_name,omitempty"`
- // Required. The type of the parameter.
- Type ParameterSpec_ParameterType `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.ml.v1.ParameterSpec_ParameterType" json:"type,omitempty"`
- // Required if type is `DOUBLE` or `INTEGER`. This field
- // should be unset if type is `CATEGORICAL`. This value should be integers if
- // type is INTEGER.
- MinValue float64 `protobuf:"fixed64,2,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
- // Required if typeis `DOUBLE` or `INTEGER`. This field
- // should be unset if type is `CATEGORICAL`. This value should be integers if
- // type is `INTEGER`.
- MaxValue float64 `protobuf:"fixed64,3,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
- // Required if type is `CATEGORICAL`. The list of possible categories.
- CategoricalValues []string `protobuf:"bytes,5,rep,name=categorical_values,json=categoricalValues,proto3" json:"categorical_values,omitempty"`
- // Required if type is `DISCRETE`.
- // A list of feasible points.
- // The list should be in strictly increasing order. For instance, this
- // parameter might have possible settings of 1.5, 2.5, and 4.0. This list
- // should not contain more than 1,000 values.
- DiscreteValues []float64 `protobuf:"fixed64,6,rep,packed,name=discrete_values,json=discreteValues,proto3" json:"discrete_values,omitempty"`
- // Optional. How the parameter should be scaled to the hypercube.
- // Leave unset for categorical parameters.
- // Some kind of scaling is strongly recommended for real or integral
- // parameters (e.g., `UNIT_LINEAR_SCALE`).
- ScaleType ParameterSpec_ScaleType `protobuf:"varint,7,opt,name=scale_type,json=scaleType,proto3,enum=google.cloud.ml.v1.ParameterSpec_ScaleType" json:"scale_type,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *ParameterSpec) Reset() { *m = ParameterSpec{} }
- func (m *ParameterSpec) String() string { return proto.CompactTextString(m) }
- func (*ParameterSpec) ProtoMessage() {}
- func (*ParameterSpec) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{2}
- }
- func (m *ParameterSpec) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_ParameterSpec.Unmarshal(m, b)
- }
- func (m *ParameterSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_ParameterSpec.Marshal(b, m, deterministic)
- }
- func (dst *ParameterSpec) XXX_Merge(src proto.Message) {
- xxx_messageInfo_ParameterSpec.Merge(dst, src)
- }
- func (m *ParameterSpec) XXX_Size() int {
- return xxx_messageInfo_ParameterSpec.Size(m)
- }
- func (m *ParameterSpec) XXX_DiscardUnknown() {
- xxx_messageInfo_ParameterSpec.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_ParameterSpec proto.InternalMessageInfo
-
- func (m *ParameterSpec) GetParameterName() string {
- if m != nil {
- return m.ParameterName
- }
- return ""
- }
-
- func (m *ParameterSpec) GetType() ParameterSpec_ParameterType {
- if m != nil {
- return m.Type
- }
- return ParameterSpec_PARAMETER_TYPE_UNSPECIFIED
- }
-
- func (m *ParameterSpec) GetMinValue() float64 {
- if m != nil {
- return m.MinValue
- }
- return 0
- }
-
- func (m *ParameterSpec) GetMaxValue() float64 {
- if m != nil {
- return m.MaxValue
- }
- return 0
- }
-
- func (m *ParameterSpec) GetCategoricalValues() []string {
- if m != nil {
- return m.CategoricalValues
- }
- return nil
- }
-
- func (m *ParameterSpec) GetDiscreteValues() []float64 {
- if m != nil {
- return m.DiscreteValues
- }
- return nil
- }
-
- func (m *ParameterSpec) GetScaleType() ParameterSpec_ScaleType {
- if m != nil {
- return m.ScaleType
- }
- return ParameterSpec_NONE
- }
-
- // Represents the result of a single hyperparameter tuning trial from a
- // training job. The TrainingOutput object that is returned on successful
- // completion of a training job with hyperparameter tuning includes a list
- // of HyperparameterOutput objects, one for each successful trial.
- type HyperparameterOutput struct {
- // The trial id for these results.
- TrialId string `protobuf:"bytes,1,opt,name=trial_id,json=trialId,proto3" json:"trial_id,omitempty"`
- // The hyperparameters given to this trial.
- Hyperparameters map[string]string `protobuf:"bytes,2,rep,name=hyperparameters,proto3" json:"hyperparameters,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
- // The final objective metric seen for this trial.
- FinalMetric *HyperparameterOutput_HyperparameterMetric `protobuf:"bytes,3,opt,name=final_metric,json=finalMetric,proto3" json:"final_metric,omitempty"`
- // All recorded object metrics for this trial.
- AllMetrics []*HyperparameterOutput_HyperparameterMetric `protobuf:"bytes,4,rep,name=all_metrics,json=allMetrics,proto3" json:"all_metrics,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *HyperparameterOutput) Reset() { *m = HyperparameterOutput{} }
- func (m *HyperparameterOutput) String() string { return proto.CompactTextString(m) }
- func (*HyperparameterOutput) ProtoMessage() {}
- func (*HyperparameterOutput) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{3}
- }
- func (m *HyperparameterOutput) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_HyperparameterOutput.Unmarshal(m, b)
- }
- func (m *HyperparameterOutput) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_HyperparameterOutput.Marshal(b, m, deterministic)
- }
- func (dst *HyperparameterOutput) XXX_Merge(src proto.Message) {
- xxx_messageInfo_HyperparameterOutput.Merge(dst, src)
- }
- func (m *HyperparameterOutput) XXX_Size() int {
- return xxx_messageInfo_HyperparameterOutput.Size(m)
- }
- func (m *HyperparameterOutput) XXX_DiscardUnknown() {
- xxx_messageInfo_HyperparameterOutput.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_HyperparameterOutput proto.InternalMessageInfo
-
- func (m *HyperparameterOutput) GetTrialId() string {
- if m != nil {
- return m.TrialId
- }
- return ""
- }
-
- func (m *HyperparameterOutput) GetHyperparameters() map[string]string {
- if m != nil {
- return m.Hyperparameters
- }
- return nil
- }
-
- func (m *HyperparameterOutput) GetFinalMetric() *HyperparameterOutput_HyperparameterMetric {
- if m != nil {
- return m.FinalMetric
- }
- return nil
- }
-
- func (m *HyperparameterOutput) GetAllMetrics() []*HyperparameterOutput_HyperparameterMetric {
- if m != nil {
- return m.AllMetrics
- }
- return nil
- }
-
- // An observed value of a metric.
- type HyperparameterOutput_HyperparameterMetric struct {
- // The global training step for this metric.
- TrainingStep int64 `protobuf:"varint,1,opt,name=training_step,json=trainingStep,proto3" json:"training_step,omitempty"`
- // The objective value at this training step.
- ObjectiveValue float64 `protobuf:"fixed64,2,opt,name=objective_value,json=objectiveValue,proto3" json:"objective_value,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *HyperparameterOutput_HyperparameterMetric) Reset() {
- *m = HyperparameterOutput_HyperparameterMetric{}
- }
- func (m *HyperparameterOutput_HyperparameterMetric) String() string { return proto.CompactTextString(m) }
- func (*HyperparameterOutput_HyperparameterMetric) ProtoMessage() {}
- func (*HyperparameterOutput_HyperparameterMetric) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{3, 0}
- }
- func (m *HyperparameterOutput_HyperparameterMetric) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_HyperparameterOutput_HyperparameterMetric.Unmarshal(m, b)
- }
- func (m *HyperparameterOutput_HyperparameterMetric) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_HyperparameterOutput_HyperparameterMetric.Marshal(b, m, deterministic)
- }
- func (dst *HyperparameterOutput_HyperparameterMetric) XXX_Merge(src proto.Message) {
- xxx_messageInfo_HyperparameterOutput_HyperparameterMetric.Merge(dst, src)
- }
- func (m *HyperparameterOutput_HyperparameterMetric) XXX_Size() int {
- return xxx_messageInfo_HyperparameterOutput_HyperparameterMetric.Size(m)
- }
- func (m *HyperparameterOutput_HyperparameterMetric) XXX_DiscardUnknown() {
- xxx_messageInfo_HyperparameterOutput_HyperparameterMetric.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_HyperparameterOutput_HyperparameterMetric proto.InternalMessageInfo
-
- func (m *HyperparameterOutput_HyperparameterMetric) GetTrainingStep() int64 {
- if m != nil {
- return m.TrainingStep
- }
- return 0
- }
-
- func (m *HyperparameterOutput_HyperparameterMetric) GetObjectiveValue() float64 {
- if m != nil {
- return m.ObjectiveValue
- }
- return 0
- }
-
- // Represents results of a training job. Output only.
- type TrainingOutput struct {
- // The number of hyperparameter tuning trials that completed successfully.
- // Only set for hyperparameter tuning jobs.
- CompletedTrialCount int64 `protobuf:"varint,1,opt,name=completed_trial_count,json=completedTrialCount,proto3" json:"completed_trial_count,omitempty"`
- // Results for individual Hyperparameter trials.
- // Only set for hyperparameter tuning jobs.
- Trials []*HyperparameterOutput `protobuf:"bytes,2,rep,name=trials,proto3" json:"trials,omitempty"`
- // The amount of ML units consumed by the job.
- ConsumedMlUnits float64 `protobuf:"fixed64,3,opt,name=consumed_ml_units,json=consumedMlUnits,proto3" json:"consumed_ml_units,omitempty"`
- // Whether this job is a hyperparameter tuning job.
- IsHyperparameterTuningJob bool `protobuf:"varint,4,opt,name=is_hyperparameter_tuning_job,json=isHyperparameterTuningJob,proto3" json:"is_hyperparameter_tuning_job,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *TrainingOutput) Reset() { *m = TrainingOutput{} }
- func (m *TrainingOutput) String() string { return proto.CompactTextString(m) }
- func (*TrainingOutput) ProtoMessage() {}
- func (*TrainingOutput) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{4}
- }
- func (m *TrainingOutput) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_TrainingOutput.Unmarshal(m, b)
- }
- func (m *TrainingOutput) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_TrainingOutput.Marshal(b, m, deterministic)
- }
- func (dst *TrainingOutput) XXX_Merge(src proto.Message) {
- xxx_messageInfo_TrainingOutput.Merge(dst, src)
- }
- func (m *TrainingOutput) XXX_Size() int {
- return xxx_messageInfo_TrainingOutput.Size(m)
- }
- func (m *TrainingOutput) XXX_DiscardUnknown() {
- xxx_messageInfo_TrainingOutput.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_TrainingOutput proto.InternalMessageInfo
-
- func (m *TrainingOutput) GetCompletedTrialCount() int64 {
- if m != nil {
- return m.CompletedTrialCount
- }
- return 0
- }
-
- func (m *TrainingOutput) GetTrials() []*HyperparameterOutput {
- if m != nil {
- return m.Trials
- }
- return nil
- }
-
- func (m *TrainingOutput) GetConsumedMlUnits() float64 {
- if m != nil {
- return m.ConsumedMlUnits
- }
- return 0
- }
-
- func (m *TrainingOutput) GetIsHyperparameterTuningJob() bool {
- if m != nil {
- return m.IsHyperparameterTuningJob
- }
- return false
- }
-
- // Represents input parameters for a prediction job.
- type PredictionInput struct {
- // Required. The model or the version to use for prediction.
- //
- // Types that are valid to be assigned to ModelVersion:
- // *PredictionInput_ModelName
- // *PredictionInput_VersionName
- // *PredictionInput_Uri
- ModelVersion isPredictionInput_ModelVersion `protobuf_oneof:"model_version"`
- // Required. The format of the input data files.
- DataFormat PredictionInput_DataFormat `protobuf:"varint,3,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.ml.v1.PredictionInput_DataFormat" json:"data_format,omitempty"`
- // Required. The Google Cloud Storage location of the input data files.
- // May contain wildcards.
- InputPaths []string `protobuf:"bytes,4,rep,name=input_paths,json=inputPaths,proto3" json:"input_paths,omitempty"`
- // Required. The output Google Cloud Storage location.
- OutputPath string `protobuf:"bytes,5,opt,name=output_path,json=outputPath,proto3" json:"output_path,omitempty"`
- // Optional. The maximum number of workers to be used for parallel processing.
- // Defaults to 10 if not specified.
- MaxWorkerCount int64 `protobuf:"varint,6,opt,name=max_worker_count,json=maxWorkerCount,proto3" json:"max_worker_count,omitempty"`
- // Required. The Google Compute Engine region to run the prediction job in.
- Region string `protobuf:"bytes,7,opt,name=region,proto3" json:"region,omitempty"`
- // Optional. The Google Cloud ML runtime version to use for this batch
- // prediction. If not set, Google Cloud ML will pick the runtime version used
- // during the CreateVersion request for this model version, or choose the
- // latest stable version when model version information is not available
- // such as when the model is specified by uri.
- RuntimeVersion string `protobuf:"bytes,8,opt,name=runtime_version,json=runtimeVersion,proto3" json:"runtime_version,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *PredictionInput) Reset() { *m = PredictionInput{} }
- func (m *PredictionInput) String() string { return proto.CompactTextString(m) }
- func (*PredictionInput) ProtoMessage() {}
- func (*PredictionInput) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{5}
- }
- func (m *PredictionInput) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_PredictionInput.Unmarshal(m, b)
- }
- func (m *PredictionInput) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_PredictionInput.Marshal(b, m, deterministic)
- }
- func (dst *PredictionInput) XXX_Merge(src proto.Message) {
- xxx_messageInfo_PredictionInput.Merge(dst, src)
- }
- func (m *PredictionInput) XXX_Size() int {
- return xxx_messageInfo_PredictionInput.Size(m)
- }
- func (m *PredictionInput) XXX_DiscardUnknown() {
- xxx_messageInfo_PredictionInput.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_PredictionInput proto.InternalMessageInfo
-
- type isPredictionInput_ModelVersion interface {
- isPredictionInput_ModelVersion()
- }
-
- type PredictionInput_ModelName struct {
- ModelName string `protobuf:"bytes,1,opt,name=model_name,json=modelName,proto3,oneof"`
- }
-
- type PredictionInput_VersionName struct {
- VersionName string `protobuf:"bytes,2,opt,name=version_name,json=versionName,proto3,oneof"`
- }
-
- type PredictionInput_Uri struct {
- Uri string `protobuf:"bytes,9,opt,name=uri,proto3,oneof"`
- }
-
- func (*PredictionInput_ModelName) isPredictionInput_ModelVersion() {}
-
- func (*PredictionInput_VersionName) isPredictionInput_ModelVersion() {}
-
- func (*PredictionInput_Uri) isPredictionInput_ModelVersion() {}
-
- func (m *PredictionInput) GetModelVersion() isPredictionInput_ModelVersion {
- if m != nil {
- return m.ModelVersion
- }
- return nil
- }
-
- func (m *PredictionInput) GetModelName() string {
- if x, ok := m.GetModelVersion().(*PredictionInput_ModelName); ok {
- return x.ModelName
- }
- return ""
- }
-
- func (m *PredictionInput) GetVersionName() string {
- if x, ok := m.GetModelVersion().(*PredictionInput_VersionName); ok {
- return x.VersionName
- }
- return ""
- }
-
- func (m *PredictionInput) GetUri() string {
- if x, ok := m.GetModelVersion().(*PredictionInput_Uri); ok {
- return x.Uri
- }
- return ""
- }
-
- func (m *PredictionInput) GetDataFormat() PredictionInput_DataFormat {
- if m != nil {
- return m.DataFormat
- }
- return PredictionInput_DATA_FORMAT_UNSPECIFIED
- }
-
- func (m *PredictionInput) GetInputPaths() []string {
- if m != nil {
- return m.InputPaths
- }
- return nil
- }
-
- func (m *PredictionInput) GetOutputPath() string {
- if m != nil {
- return m.OutputPath
- }
- return ""
- }
-
- func (m *PredictionInput) GetMaxWorkerCount() int64 {
- if m != nil {
- return m.MaxWorkerCount
- }
- return 0
- }
-
- func (m *PredictionInput) GetRegion() string {
- if m != nil {
- return m.Region
- }
- return ""
- }
-
- func (m *PredictionInput) GetRuntimeVersion() string {
- if m != nil {
- return m.RuntimeVersion
- }
- return ""
- }
-
- // XXX_OneofFuncs is for the internal use of the proto package.
- func (*PredictionInput) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
- return _PredictionInput_OneofMarshaler, _PredictionInput_OneofUnmarshaler, _PredictionInput_OneofSizer, []interface{}{
- (*PredictionInput_ModelName)(nil),
- (*PredictionInput_VersionName)(nil),
- (*PredictionInput_Uri)(nil),
- }
- }
-
- func _PredictionInput_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
- m := msg.(*PredictionInput)
- // model_version
- switch x := m.ModelVersion.(type) {
- case *PredictionInput_ModelName:
- b.EncodeVarint(1<<3 | proto.WireBytes)
- b.EncodeStringBytes(x.ModelName)
- case *PredictionInput_VersionName:
- b.EncodeVarint(2<<3 | proto.WireBytes)
- b.EncodeStringBytes(x.VersionName)
- case *PredictionInput_Uri:
- b.EncodeVarint(9<<3 | proto.WireBytes)
- b.EncodeStringBytes(x.Uri)
- case nil:
- default:
- return fmt.Errorf("PredictionInput.ModelVersion has unexpected type %T", x)
- }
- return nil
- }
-
- func _PredictionInput_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
- m := msg.(*PredictionInput)
- switch tag {
- case 1: // model_version.model_name
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeStringBytes()
- m.ModelVersion = &PredictionInput_ModelName{x}
- return true, err
- case 2: // model_version.version_name
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeStringBytes()
- m.ModelVersion = &PredictionInput_VersionName{x}
- return true, err
- case 9: // model_version.uri
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeStringBytes()
- m.ModelVersion = &PredictionInput_Uri{x}
- return true, err
- default:
- return false, nil
- }
- }
-
- func _PredictionInput_OneofSizer(msg proto.Message) (n int) {
- m := msg.(*PredictionInput)
- // model_version
- switch x := m.ModelVersion.(type) {
- case *PredictionInput_ModelName:
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(len(x.ModelName)))
- n += len(x.ModelName)
- case *PredictionInput_VersionName:
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(len(x.VersionName)))
- n += len(x.VersionName)
- case *PredictionInput_Uri:
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(len(x.Uri)))
- n += len(x.Uri)
- case nil:
- default:
- panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
- }
- return n
- }
-
- // Represents results of a prediction job.
- type PredictionOutput struct {
- // The output Google Cloud Storage location provided at the job creation time.
- OutputPath string `protobuf:"bytes,1,opt,name=output_path,json=outputPath,proto3" json:"output_path,omitempty"`
- // The number of generated predictions.
- PredictionCount int64 `protobuf:"varint,2,opt,name=prediction_count,json=predictionCount,proto3" json:"prediction_count,omitempty"`
- // The number of data instances which resulted in errors.
- ErrorCount int64 `protobuf:"varint,3,opt,name=error_count,json=errorCount,proto3" json:"error_count,omitempty"`
- // Node hours used by the batch prediction job.
- NodeHours float64 `protobuf:"fixed64,4,opt,name=node_hours,json=nodeHours,proto3" json:"node_hours,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *PredictionOutput) Reset() { *m = PredictionOutput{} }
- func (m *PredictionOutput) String() string { return proto.CompactTextString(m) }
- func (*PredictionOutput) ProtoMessage() {}
- func (*PredictionOutput) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{6}
- }
- func (m *PredictionOutput) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_PredictionOutput.Unmarshal(m, b)
- }
- func (m *PredictionOutput) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_PredictionOutput.Marshal(b, m, deterministic)
- }
- func (dst *PredictionOutput) XXX_Merge(src proto.Message) {
- xxx_messageInfo_PredictionOutput.Merge(dst, src)
- }
- func (m *PredictionOutput) XXX_Size() int {
- return xxx_messageInfo_PredictionOutput.Size(m)
- }
- func (m *PredictionOutput) XXX_DiscardUnknown() {
- xxx_messageInfo_PredictionOutput.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_PredictionOutput proto.InternalMessageInfo
-
- func (m *PredictionOutput) GetOutputPath() string {
- if m != nil {
- return m.OutputPath
- }
- return ""
- }
-
- func (m *PredictionOutput) GetPredictionCount() int64 {
- if m != nil {
- return m.PredictionCount
- }
- return 0
- }
-
- func (m *PredictionOutput) GetErrorCount() int64 {
- if m != nil {
- return m.ErrorCount
- }
- return 0
- }
-
- func (m *PredictionOutput) GetNodeHours() float64 {
- if m != nil {
- return m.NodeHours
- }
- return 0
- }
-
- // Represents a training or prediction job.
- type Job struct {
- // Required. The user-specified id of the job.
- JobId string `protobuf:"bytes,1,opt,name=job_id,json=jobId,proto3" json:"job_id,omitempty"`
- // Required. Parameters to create a job.
- //
- // Types that are valid to be assigned to Input:
- // *Job_TrainingInput
- // *Job_PredictionInput
- Input isJob_Input `protobuf_oneof:"input"`
- // Output only. When the job was created.
- CreateTime *timestamp.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
- // Output only. When the job processing was started.
- StartTime *timestamp.Timestamp `protobuf:"bytes,5,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
- // Output only. When the job processing was completed.
- EndTime *timestamp.Timestamp `protobuf:"bytes,6,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
- // Output only. The detailed state of a job.
- State Job_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.ml.v1.Job_State" json:"state,omitempty"`
- // Output only. The details of a failure or a cancellation.
- ErrorMessage string `protobuf:"bytes,8,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`
- // Output only. The current result of the job.
- //
- // Types that are valid to be assigned to Output:
- // *Job_TrainingOutput
- // *Job_PredictionOutput
- Output isJob_Output `protobuf_oneof:"output"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *Job) Reset() { *m = Job{} }
- func (m *Job) String() string { return proto.CompactTextString(m) }
- func (*Job) ProtoMessage() {}
- func (*Job) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{7}
- }
- func (m *Job) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_Job.Unmarshal(m, b)
- }
- func (m *Job) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_Job.Marshal(b, m, deterministic)
- }
- func (dst *Job) XXX_Merge(src proto.Message) {
- xxx_messageInfo_Job.Merge(dst, src)
- }
- func (m *Job) XXX_Size() int {
- return xxx_messageInfo_Job.Size(m)
- }
- func (m *Job) XXX_DiscardUnknown() {
- xxx_messageInfo_Job.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_Job proto.InternalMessageInfo
-
- func (m *Job) GetJobId() string {
- if m != nil {
- return m.JobId
- }
- return ""
- }
-
- type isJob_Input interface {
- isJob_Input()
- }
-
- type Job_TrainingInput struct {
- TrainingInput *TrainingInput `protobuf:"bytes,2,opt,name=training_input,json=trainingInput,proto3,oneof"`
- }
-
- type Job_PredictionInput struct {
- PredictionInput *PredictionInput `protobuf:"bytes,3,opt,name=prediction_input,json=predictionInput,proto3,oneof"`
- }
-
- func (*Job_TrainingInput) isJob_Input() {}
-
- func (*Job_PredictionInput) isJob_Input() {}
-
- func (m *Job) GetInput() isJob_Input {
- if m != nil {
- return m.Input
- }
- return nil
- }
-
- func (m *Job) GetTrainingInput() *TrainingInput {
- if x, ok := m.GetInput().(*Job_TrainingInput); ok {
- return x.TrainingInput
- }
- return nil
- }
-
- func (m *Job) GetPredictionInput() *PredictionInput {
- if x, ok := m.GetInput().(*Job_PredictionInput); ok {
- return x.PredictionInput
- }
- return nil
- }
-
- func (m *Job) GetCreateTime() *timestamp.Timestamp {
- if m != nil {
- return m.CreateTime
- }
- return nil
- }
-
- func (m *Job) GetStartTime() *timestamp.Timestamp {
- if m != nil {
- return m.StartTime
- }
- return nil
- }
-
- func (m *Job) GetEndTime() *timestamp.Timestamp {
- if m != nil {
- return m.EndTime
- }
- return nil
- }
-
- func (m *Job) GetState() Job_State {
- if m != nil {
- return m.State
- }
- return Job_STATE_UNSPECIFIED
- }
-
- func (m *Job) GetErrorMessage() string {
- if m != nil {
- return m.ErrorMessage
- }
- return ""
- }
-
- type isJob_Output interface {
- isJob_Output()
- }
-
- type Job_TrainingOutput struct {
- TrainingOutput *TrainingOutput `protobuf:"bytes,9,opt,name=training_output,json=trainingOutput,proto3,oneof"`
- }
-
- type Job_PredictionOutput struct {
- PredictionOutput *PredictionOutput `protobuf:"bytes,10,opt,name=prediction_output,json=predictionOutput,proto3,oneof"`
- }
-
- func (*Job_TrainingOutput) isJob_Output() {}
-
- func (*Job_PredictionOutput) isJob_Output() {}
-
- func (m *Job) GetOutput() isJob_Output {
- if m != nil {
- return m.Output
- }
- return nil
- }
-
- func (m *Job) GetTrainingOutput() *TrainingOutput {
- if x, ok := m.GetOutput().(*Job_TrainingOutput); ok {
- return x.TrainingOutput
- }
- return nil
- }
-
- func (m *Job) GetPredictionOutput() *PredictionOutput {
- if x, ok := m.GetOutput().(*Job_PredictionOutput); ok {
- return x.PredictionOutput
- }
- return nil
- }
-
- // XXX_OneofFuncs is for the internal use of the proto package.
- func (*Job) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
- return _Job_OneofMarshaler, _Job_OneofUnmarshaler, _Job_OneofSizer, []interface{}{
- (*Job_TrainingInput)(nil),
- (*Job_PredictionInput)(nil),
- (*Job_TrainingOutput)(nil),
- (*Job_PredictionOutput)(nil),
- }
- }
-
- func _Job_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
- m := msg.(*Job)
- // input
- switch x := m.Input.(type) {
- case *Job_TrainingInput:
- b.EncodeVarint(2<<3 | proto.WireBytes)
- if err := b.EncodeMessage(x.TrainingInput); err != nil {
- return err
- }
- case *Job_PredictionInput:
- b.EncodeVarint(3<<3 | proto.WireBytes)
- if err := b.EncodeMessage(x.PredictionInput); err != nil {
- return err
- }
- case nil:
- default:
- return fmt.Errorf("Job.Input has unexpected type %T", x)
- }
- // output
- switch x := m.Output.(type) {
- case *Job_TrainingOutput:
- b.EncodeVarint(9<<3 | proto.WireBytes)
- if err := b.EncodeMessage(x.TrainingOutput); err != nil {
- return err
- }
- case *Job_PredictionOutput:
- b.EncodeVarint(10<<3 | proto.WireBytes)
- if err := b.EncodeMessage(x.PredictionOutput); err != nil {
- return err
- }
- case nil:
- default:
- return fmt.Errorf("Job.Output has unexpected type %T", x)
- }
- return nil
- }
-
- func _Job_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
- m := msg.(*Job)
- switch tag {
- case 2: // input.training_input
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- msg := new(TrainingInput)
- err := b.DecodeMessage(msg)
- m.Input = &Job_TrainingInput{msg}
- return true, err
- case 3: // input.prediction_input
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- msg := new(PredictionInput)
- err := b.DecodeMessage(msg)
- m.Input = &Job_PredictionInput{msg}
- return true, err
- case 9: // output.training_output
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- msg := new(TrainingOutput)
- err := b.DecodeMessage(msg)
- m.Output = &Job_TrainingOutput{msg}
- return true, err
- case 10: // output.prediction_output
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- msg := new(PredictionOutput)
- err := b.DecodeMessage(msg)
- m.Output = &Job_PredictionOutput{msg}
- return true, err
- default:
- return false, nil
- }
- }
-
- func _Job_OneofSizer(msg proto.Message) (n int) {
- m := msg.(*Job)
- // input
- switch x := m.Input.(type) {
- case *Job_TrainingInput:
- s := proto.Size(x.TrainingInput)
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(s))
- n += s
- case *Job_PredictionInput:
- s := proto.Size(x.PredictionInput)
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(s))
- n += s
- case nil:
- default:
- panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
- }
- // output
- switch x := m.Output.(type) {
- case *Job_TrainingOutput:
- s := proto.Size(x.TrainingOutput)
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(s))
- n += s
- case *Job_PredictionOutput:
- s := proto.Size(x.PredictionOutput)
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(s))
- n += s
- case nil:
- default:
- panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
- }
- return n
- }
-
- // Request message for the CreateJob method.
- type CreateJobRequest struct {
- // Required. The project name.
- //
- // Authorization: requires `Editor` role on the specified project.
- Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
- // Required. The job to create.
- Job *Job `protobuf:"bytes,2,opt,name=job,proto3" json:"job,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *CreateJobRequest) Reset() { *m = CreateJobRequest{} }
- func (m *CreateJobRequest) String() string { return proto.CompactTextString(m) }
- func (*CreateJobRequest) ProtoMessage() {}
- func (*CreateJobRequest) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{8}
- }
- func (m *CreateJobRequest) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_CreateJobRequest.Unmarshal(m, b)
- }
- func (m *CreateJobRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_CreateJobRequest.Marshal(b, m, deterministic)
- }
- func (dst *CreateJobRequest) XXX_Merge(src proto.Message) {
- xxx_messageInfo_CreateJobRequest.Merge(dst, src)
- }
- func (m *CreateJobRequest) XXX_Size() int {
- return xxx_messageInfo_CreateJobRequest.Size(m)
- }
- func (m *CreateJobRequest) XXX_DiscardUnknown() {
- xxx_messageInfo_CreateJobRequest.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_CreateJobRequest proto.InternalMessageInfo
-
- func (m *CreateJobRequest) GetParent() string {
- if m != nil {
- return m.Parent
- }
- return ""
- }
-
- func (m *CreateJobRequest) GetJob() *Job {
- if m != nil {
- return m.Job
- }
- return nil
- }
-
- // Request message for the ListJobs method.
- type ListJobsRequest struct {
- // Required. The name of the project for which to list jobs.
- //
- // Authorization: requires `Viewer` role on the specified project.
- Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
- // Optional. Specifies the subset of jobs to retrieve.
- Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
- // Optional. A page token to request the next page of results.
- //
- // You get the token from the `next_page_token` field of the response from
- // the previous call.
- PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
- // Optional. The number of jobs to retrieve per "page" of results. If there
- // are more remaining results than this number, the response message will
- // contain a valid value in the `next_page_token` field.
- //
- // The default value is 20, and the maximum page size is 100.
- PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *ListJobsRequest) Reset() { *m = ListJobsRequest{} }
- func (m *ListJobsRequest) String() string { return proto.CompactTextString(m) }
- func (*ListJobsRequest) ProtoMessage() {}
- func (*ListJobsRequest) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{9}
- }
- func (m *ListJobsRequest) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_ListJobsRequest.Unmarshal(m, b)
- }
- func (m *ListJobsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_ListJobsRequest.Marshal(b, m, deterministic)
- }
- func (dst *ListJobsRequest) XXX_Merge(src proto.Message) {
- xxx_messageInfo_ListJobsRequest.Merge(dst, src)
- }
- func (m *ListJobsRequest) XXX_Size() int {
- return xxx_messageInfo_ListJobsRequest.Size(m)
- }
- func (m *ListJobsRequest) XXX_DiscardUnknown() {
- xxx_messageInfo_ListJobsRequest.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_ListJobsRequest proto.InternalMessageInfo
-
- func (m *ListJobsRequest) GetParent() string {
- if m != nil {
- return m.Parent
- }
- return ""
- }
-
- func (m *ListJobsRequest) GetFilter() string {
- if m != nil {
- return m.Filter
- }
- return ""
- }
-
- func (m *ListJobsRequest) GetPageToken() string {
- if m != nil {
- return m.PageToken
- }
- return ""
- }
-
- func (m *ListJobsRequest) GetPageSize() int32 {
- if m != nil {
- return m.PageSize
- }
- return 0
- }
-
- // Response message for the ListJobs method.
- type ListJobsResponse struct {
- // The list of jobs.
- Jobs []*Job `protobuf:"bytes,1,rep,name=jobs,proto3" json:"jobs,omitempty"`
- // Optional. Pass this token as the `page_token` field of the request for a
- // subsequent call.
- NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *ListJobsResponse) Reset() { *m = ListJobsResponse{} }
- func (m *ListJobsResponse) String() string { return proto.CompactTextString(m) }
- func (*ListJobsResponse) ProtoMessage() {}
- func (*ListJobsResponse) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{10}
- }
- func (m *ListJobsResponse) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_ListJobsResponse.Unmarshal(m, b)
- }
- func (m *ListJobsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_ListJobsResponse.Marshal(b, m, deterministic)
- }
- func (dst *ListJobsResponse) XXX_Merge(src proto.Message) {
- xxx_messageInfo_ListJobsResponse.Merge(dst, src)
- }
- func (m *ListJobsResponse) XXX_Size() int {
- return xxx_messageInfo_ListJobsResponse.Size(m)
- }
- func (m *ListJobsResponse) XXX_DiscardUnknown() {
- xxx_messageInfo_ListJobsResponse.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_ListJobsResponse proto.InternalMessageInfo
-
- func (m *ListJobsResponse) GetJobs() []*Job {
- if m != nil {
- return m.Jobs
- }
- return nil
- }
-
- func (m *ListJobsResponse) GetNextPageToken() string {
- if m != nil {
- return m.NextPageToken
- }
- return ""
- }
-
- // Request message for the GetJob method.
- type GetJobRequest struct {
- // Required. The name of the job to get the description of.
- //
- // Authorization: requires `Viewer` role on the parent project.
- Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *GetJobRequest) Reset() { *m = GetJobRequest{} }
- func (m *GetJobRequest) String() string { return proto.CompactTextString(m) }
- func (*GetJobRequest) ProtoMessage() {}
- func (*GetJobRequest) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{11}
- }
- func (m *GetJobRequest) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_GetJobRequest.Unmarshal(m, b)
- }
- func (m *GetJobRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_GetJobRequest.Marshal(b, m, deterministic)
- }
- func (dst *GetJobRequest) XXX_Merge(src proto.Message) {
- xxx_messageInfo_GetJobRequest.Merge(dst, src)
- }
- func (m *GetJobRequest) XXX_Size() int {
- return xxx_messageInfo_GetJobRequest.Size(m)
- }
- func (m *GetJobRequest) XXX_DiscardUnknown() {
- xxx_messageInfo_GetJobRequest.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_GetJobRequest proto.InternalMessageInfo
-
- func (m *GetJobRequest) GetName() string {
- if m != nil {
- return m.Name
- }
- return ""
- }
-
- // Request message for the CancelJob method.
- type CancelJobRequest struct {
- // Required. The name of the job to cancel.
- //
- // Authorization: requires `Editor` role on the parent project.
- Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *CancelJobRequest) Reset() { *m = CancelJobRequest{} }
- func (m *CancelJobRequest) String() string { return proto.CompactTextString(m) }
- func (*CancelJobRequest) ProtoMessage() {}
- func (*CancelJobRequest) Descriptor() ([]byte, []int) {
- return fileDescriptor_job_service_84dcbad41a9d1457, []int{12}
- }
- func (m *CancelJobRequest) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_CancelJobRequest.Unmarshal(m, b)
- }
- func (m *CancelJobRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_CancelJobRequest.Marshal(b, m, deterministic)
- }
- func (dst *CancelJobRequest) XXX_Merge(src proto.Message) {
- xxx_messageInfo_CancelJobRequest.Merge(dst, src)
- }
- func (m *CancelJobRequest) XXX_Size() int {
- return xxx_messageInfo_CancelJobRequest.Size(m)
- }
- func (m *CancelJobRequest) XXX_DiscardUnknown() {
- xxx_messageInfo_CancelJobRequest.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_CancelJobRequest proto.InternalMessageInfo
-
- func (m *CancelJobRequest) GetName() string {
- if m != nil {
- return m.Name
- }
- return ""
- }
-
- func init() {
- proto.RegisterType((*TrainingInput)(nil), "google.cloud.ml.v1.TrainingInput")
- proto.RegisterType((*HyperparameterSpec)(nil), "google.cloud.ml.v1.HyperparameterSpec")
- proto.RegisterType((*ParameterSpec)(nil), "google.cloud.ml.v1.ParameterSpec")
- proto.RegisterType((*HyperparameterOutput)(nil), "google.cloud.ml.v1.HyperparameterOutput")
- proto.RegisterMapType((map[string]string)(nil), "google.cloud.ml.v1.HyperparameterOutput.HyperparametersEntry")
- proto.RegisterType((*HyperparameterOutput_HyperparameterMetric)(nil), "google.cloud.ml.v1.HyperparameterOutput.HyperparameterMetric")
- proto.RegisterType((*TrainingOutput)(nil), "google.cloud.ml.v1.TrainingOutput")
- proto.RegisterType((*PredictionInput)(nil), "google.cloud.ml.v1.PredictionInput")
- proto.RegisterType((*PredictionOutput)(nil), "google.cloud.ml.v1.PredictionOutput")
- proto.RegisterType((*Job)(nil), "google.cloud.ml.v1.Job")
- proto.RegisterType((*CreateJobRequest)(nil), "google.cloud.ml.v1.CreateJobRequest")
- proto.RegisterType((*ListJobsRequest)(nil), "google.cloud.ml.v1.ListJobsRequest")
- proto.RegisterType((*ListJobsResponse)(nil), "google.cloud.ml.v1.ListJobsResponse")
- proto.RegisterType((*GetJobRequest)(nil), "google.cloud.ml.v1.GetJobRequest")
- proto.RegisterType((*CancelJobRequest)(nil), "google.cloud.ml.v1.CancelJobRequest")
- proto.RegisterEnum("google.cloud.ml.v1.TrainingInput_ScaleTier", TrainingInput_ScaleTier_name, TrainingInput_ScaleTier_value)
- proto.RegisterEnum("google.cloud.ml.v1.HyperparameterSpec_GoalType", HyperparameterSpec_GoalType_name, HyperparameterSpec_GoalType_value)
- proto.RegisterEnum("google.cloud.ml.v1.ParameterSpec_ParameterType", ParameterSpec_ParameterType_name, ParameterSpec_ParameterType_value)
- proto.RegisterEnum("google.cloud.ml.v1.ParameterSpec_ScaleType", ParameterSpec_ScaleType_name, ParameterSpec_ScaleType_value)
- proto.RegisterEnum("google.cloud.ml.v1.PredictionInput_DataFormat", PredictionInput_DataFormat_name, PredictionInput_DataFormat_value)
- proto.RegisterEnum("google.cloud.ml.v1.Job_State", Job_State_name, Job_State_value)
- }
-
- // Reference imports to suppress errors if they are not otherwise used.
- var _ context.Context
- var _ grpc.ClientConn
-
- // This is a compile-time assertion to ensure that this generated file
- // is compatible with the grpc package it is being compiled against.
- const _ = grpc.SupportPackageIsVersion4
-
- // JobServiceClient is the client API for JobService service.
- //
- // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
- type JobServiceClient interface {
- // Creates a training or a batch prediction job.
- CreateJob(ctx context.Context, in *CreateJobRequest, opts ...grpc.CallOption) (*Job, error)
- // Lists the jobs in the project.
- ListJobs(ctx context.Context, in *ListJobsRequest, opts ...grpc.CallOption) (*ListJobsResponse, error)
- // Describes a job.
- GetJob(ctx context.Context, in *GetJobRequest, opts ...grpc.CallOption) (*Job, error)
- // Cancels a running job.
- CancelJob(ctx context.Context, in *CancelJobRequest, opts ...grpc.CallOption) (*empty.Empty, error)
- }
-
- type jobServiceClient struct {
- cc *grpc.ClientConn
- }
-
- func NewJobServiceClient(cc *grpc.ClientConn) JobServiceClient {
- return &jobServiceClient{cc}
- }
-
- func (c *jobServiceClient) CreateJob(ctx context.Context, in *CreateJobRequest, opts ...grpc.CallOption) (*Job, error) {
- out := new(Job)
- err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/CreateJob", in, out, opts...)
- if err != nil {
- return nil, err
- }
- return out, nil
- }
-
- func (c *jobServiceClient) ListJobs(ctx context.Context, in *ListJobsRequest, opts ...grpc.CallOption) (*ListJobsResponse, error) {
- out := new(ListJobsResponse)
- err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/ListJobs", in, out, opts...)
- if err != nil {
- return nil, err
- }
- return out, nil
- }
-
- func (c *jobServiceClient) GetJob(ctx context.Context, in *GetJobRequest, opts ...grpc.CallOption) (*Job, error) {
- out := new(Job)
- err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/GetJob", in, out, opts...)
- if err != nil {
- return nil, err
- }
- return out, nil
- }
-
- func (c *jobServiceClient) CancelJob(ctx context.Context, in *CancelJobRequest, opts ...grpc.CallOption) (*empty.Empty, error) {
- out := new(empty.Empty)
- err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/CancelJob", in, out, opts...)
- if err != nil {
- return nil, err
- }
- return out, nil
- }
-
- // JobServiceServer is the server API for JobService service.
- type JobServiceServer interface {
- // Creates a training or a batch prediction job.
- CreateJob(context.Context, *CreateJobRequest) (*Job, error)
- // Lists the jobs in the project.
- ListJobs(context.Context, *ListJobsRequest) (*ListJobsResponse, error)
- // Describes a job.
- GetJob(context.Context, *GetJobRequest) (*Job, error)
- // Cancels a running job.
- CancelJob(context.Context, *CancelJobRequest) (*empty.Empty, error)
- }
-
- func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer) {
- s.RegisterService(&_JobService_serviceDesc, srv)
- }
-
- func _JobService_CreateJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
- in := new(CreateJobRequest)
- if err := dec(in); err != nil {
- return nil, err
- }
- if interceptor == nil {
- return srv.(JobServiceServer).CreateJob(ctx, in)
- }
- info := &grpc.UnaryServerInfo{
- Server: srv,
- FullMethod: "/google.cloud.ml.v1.JobService/CreateJob",
- }
- handler := func(ctx context.Context, req interface{}) (interface{}, error) {
- return srv.(JobServiceServer).CreateJob(ctx, req.(*CreateJobRequest))
- }
- return interceptor(ctx, in, info, handler)
- }
-
- func _JobService_ListJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
- in := new(ListJobsRequest)
- if err := dec(in); err != nil {
- return nil, err
- }
- if interceptor == nil {
- return srv.(JobServiceServer).ListJobs(ctx, in)
- }
- info := &grpc.UnaryServerInfo{
- Server: srv,
- FullMethod: "/google.cloud.ml.v1.JobService/ListJobs",
- }
- handler := func(ctx context.Context, req interface{}) (interface{}, error) {
- return srv.(JobServiceServer).ListJobs(ctx, req.(*ListJobsRequest))
- }
- return interceptor(ctx, in, info, handler)
- }
-
- func _JobService_GetJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
- in := new(GetJobRequest)
- if err := dec(in); err != nil {
- return nil, err
- }
- if interceptor == nil {
- return srv.(JobServiceServer).GetJob(ctx, in)
- }
- info := &grpc.UnaryServerInfo{
- Server: srv,
- FullMethod: "/google.cloud.ml.v1.JobService/GetJob",
- }
- handler := func(ctx context.Context, req interface{}) (interface{}, error) {
- return srv.(JobServiceServer).GetJob(ctx, req.(*GetJobRequest))
- }
- return interceptor(ctx, in, info, handler)
- }
-
- func _JobService_CancelJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
- in := new(CancelJobRequest)
- if err := dec(in); err != nil {
- return nil, err
- }
- if interceptor == nil {
- return srv.(JobServiceServer).CancelJob(ctx, in)
- }
- info := &grpc.UnaryServerInfo{
- Server: srv,
- FullMethod: "/google.cloud.ml.v1.JobService/CancelJob",
- }
- handler := func(ctx context.Context, req interface{}) (interface{}, error) {
- return srv.(JobServiceServer).CancelJob(ctx, req.(*CancelJobRequest))
- }
- return interceptor(ctx, in, info, handler)
- }
-
- var _JobService_serviceDesc = grpc.ServiceDesc{
- ServiceName: "google.cloud.ml.v1.JobService",
- HandlerType: (*JobServiceServer)(nil),
- Methods: []grpc.MethodDesc{
- {
- MethodName: "CreateJob",
- Handler: _JobService_CreateJob_Handler,
- },
- {
- MethodName: "ListJobs",
- Handler: _JobService_ListJobs_Handler,
- },
- {
- MethodName: "GetJob",
- Handler: _JobService_GetJob_Handler,
- },
- {
- MethodName: "CancelJob",
- Handler: _JobService_CancelJob_Handler,
- },
- },
- Streams: []grpc.StreamDesc{},
- Metadata: "google/cloud/ml/v1/job_service.proto",
- }
-
- func init() {
- proto.RegisterFile("google/cloud/ml/v1/job_service.proto", fileDescriptor_job_service_84dcbad41a9d1457)
- }
-
- var fileDescriptor_job_service_84dcbad41a9d1457 = []byte{
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