Source file src/google.golang.org/genproto/googleapis/cloud/ml/v1/job_service.pb.go

Documentation: google.golang.org/genproto/googleapis/cloud/ml/v1

     1  // Copyright 2017 Google Inc.
     2  //
     3  // Licensed under the Apache License, Version 2.0 (the "License");
     4  // you may not use this file except in compliance with the License.
     5  // You may obtain a copy of the License at
     6  //
     7  //     http://www.apache.org/licenses/LICENSE-2.0
     8  //
     9  // Unless required by applicable law or agreed to in writing, software
    10  // distributed under the License is distributed on an "AS IS" BASIS,
    11  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    12  // See the License for the specific language governing permissions and
    13  // limitations under the License.
    14  
    15  // Code generated by protoc-gen-go. DO NOT EDIT.
    16  // versions:
    17  // 	protoc-gen-go v1.26.0
    18  // 	protoc        v3.12.2
    19  // source: google/cloud/ml/v1/job_service.proto
    20  
    21  package ml
    22  
    23  import (
    24  	context "context"
    25  	reflect "reflect"
    26  	sync "sync"
    27  
    28  	_ "google.golang.org/genproto/googleapis/api/annotations"
    29  	_ "google.golang.org/genproto/googleapis/api/serviceconfig"
    30  	grpc "google.golang.org/grpc"
    31  	codes "google.golang.org/grpc/codes"
    32  	status "google.golang.org/grpc/status"
    33  	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
    34  	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
    35  	emptypb "google.golang.org/protobuf/types/known/emptypb"
    36  	timestamppb "google.golang.org/protobuf/types/known/timestamppb"
    37  )
    38  
    39  const (
    40  	// Verify that this generated code is sufficiently up-to-date.
    41  	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
    42  	// Verify that runtime/protoimpl is sufficiently up-to-date.
    43  	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
    44  )
    45  
    46  // A scale tier is an abstract representation of the resources Cloud ML
    47  // will allocate to a training job. When selecting a scale tier for your
    48  // training job, you should consider the size of your training dataset and
    49  // the complexity of your model. As the tiers increase, virtual machines are
    50  // added to handle your job, and the individual machines in the cluster
    51  // generally have more memory and greater processing power than they do at
    52  // lower tiers. The number of training units charged per hour of processing
    53  // increases as tiers get more advanced. Refer to the
    54  // [pricing guide](/ml/pricing) for more details. Note that in addition to
    55  // incurring costs, your use of training resources is constrained by the
    56  // [quota policy](/ml/quota).
    57  type TrainingInput_ScaleTier int32
    58  
    59  const (
    60  	// A single worker instance. This tier is suitable for learning how to use
    61  	// Cloud ML, and for experimenting with new models using small datasets.
    62  	TrainingInput_BASIC TrainingInput_ScaleTier = 0
    63  	// Many workers and a few parameter servers.
    64  	TrainingInput_STANDARD_1 TrainingInput_ScaleTier = 1
    65  	// A large number of workers with many parameter servers.
    66  	TrainingInput_PREMIUM_1 TrainingInput_ScaleTier = 3
    67  	// A single worker instance [with a GPU](ml/docs/how-tos/using-gpus).
    68  	TrainingInput_BASIC_GPU TrainingInput_ScaleTier = 6
    69  	// The CUSTOM tier is not a set tier, but rather enables you to use your
    70  	// own cluster specification. When you use this tier, set values to
    71  	// configure your processing cluster according to these guidelines:
    72  	//
    73  	// *   You _must_ set `TrainingInput.masterType` to specify the type
    74  	//     of machine to use for your master node. This is the only required
    75  	//     setting.
    76  	//
    77  	// *   You _may_ set `TrainingInput.workerCount` to specify the number of
    78  	//     workers to use. If you specify one or more workers, you _must_ also
    79  	//     set `TrainingInput.workerType` to specify the type of machine to use
    80  	//     for your worker nodes.
    81  	//
    82  	// *   You _may_ set `TrainingInput.parameterServerCount` to specify the
    83  	//     number of parameter servers to use. If you specify one or more
    84  	//     parameter servers, you _must_ also set
    85  	//     `TrainingInput.parameterServerType` to specify the type of machine to
    86  	//     use for your parameter servers.
    87  	//
    88  	// Note that all of your workers must use the same machine type, which can
    89  	// be different from your parameter server type and master type. Your
    90  	// parameter servers must likewise use the same machine type, which can be
    91  	// different from your worker type and master type.
    92  	TrainingInput_CUSTOM TrainingInput_ScaleTier = 5
    93  )
    94  
    95  // Enum value maps for TrainingInput_ScaleTier.
    96  var (
    97  	TrainingInput_ScaleTier_name = map[int32]string{
    98  		0: "BASIC",
    99  		1: "STANDARD_1",
   100  		3: "PREMIUM_1",
   101  		6: "BASIC_GPU",
   102  		5: "CUSTOM",
   103  	}
   104  	TrainingInput_ScaleTier_value = map[string]int32{
   105  		"BASIC":      0,
   106  		"STANDARD_1": 1,
   107  		"PREMIUM_1":  3,
   108  		"BASIC_GPU":  6,
   109  		"CUSTOM":     5,
   110  	}
   111  )
   112  
   113  func (x TrainingInput_ScaleTier) Enum() *TrainingInput_ScaleTier {
   114  	p := new(TrainingInput_ScaleTier)
   115  	*p = x
   116  	return p
   117  }
   118  
   119  func (x TrainingInput_ScaleTier) String() string {
   120  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   121  }
   122  
   123  func (TrainingInput_ScaleTier) Descriptor() protoreflect.EnumDescriptor {
   124  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[0].Descriptor()
   125  }
   126  
   127  func (TrainingInput_ScaleTier) Type() protoreflect.EnumType {
   128  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[0]
   129  }
   130  
   131  func (x TrainingInput_ScaleTier) Number() protoreflect.EnumNumber {
   132  	return protoreflect.EnumNumber(x)
   133  }
   134  
   135  // Deprecated: Use TrainingInput_ScaleTier.Descriptor instead.
   136  func (TrainingInput_ScaleTier) EnumDescriptor() ([]byte, []int) {
   137  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{0, 0}
   138  }
   139  
   140  // The available types of optimization goals.
   141  type HyperparameterSpec_GoalType int32
   142  
   143  const (
   144  	// Goal Type will default to maximize.
   145  	HyperparameterSpec_GOAL_TYPE_UNSPECIFIED HyperparameterSpec_GoalType = 0
   146  	// Maximize the goal metric.
   147  	HyperparameterSpec_MAXIMIZE HyperparameterSpec_GoalType = 1
   148  	// Minimize the goal metric.
   149  	HyperparameterSpec_MINIMIZE HyperparameterSpec_GoalType = 2
   150  )
   151  
   152  // Enum value maps for HyperparameterSpec_GoalType.
   153  var (
   154  	HyperparameterSpec_GoalType_name = map[int32]string{
   155  		0: "GOAL_TYPE_UNSPECIFIED",
   156  		1: "MAXIMIZE",
   157  		2: "MINIMIZE",
   158  	}
   159  	HyperparameterSpec_GoalType_value = map[string]int32{
   160  		"GOAL_TYPE_UNSPECIFIED": 0,
   161  		"MAXIMIZE":              1,
   162  		"MINIMIZE":              2,
   163  	}
   164  )
   165  
   166  func (x HyperparameterSpec_GoalType) Enum() *HyperparameterSpec_GoalType {
   167  	p := new(HyperparameterSpec_GoalType)
   168  	*p = x
   169  	return p
   170  }
   171  
   172  func (x HyperparameterSpec_GoalType) String() string {
   173  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   174  }
   175  
   176  func (HyperparameterSpec_GoalType) Descriptor() protoreflect.EnumDescriptor {
   177  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[1].Descriptor()
   178  }
   179  
   180  func (HyperparameterSpec_GoalType) Type() protoreflect.EnumType {
   181  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[1]
   182  }
   183  
   184  func (x HyperparameterSpec_GoalType) Number() protoreflect.EnumNumber {
   185  	return protoreflect.EnumNumber(x)
   186  }
   187  
   188  // Deprecated: Use HyperparameterSpec_GoalType.Descriptor instead.
   189  func (HyperparameterSpec_GoalType) EnumDescriptor() ([]byte, []int) {
   190  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{1, 0}
   191  }
   192  
   193  // The type of the parameter.
   194  type ParameterSpec_ParameterType int32
   195  
   196  const (
   197  	// You must specify a valid type. Using this unspecified type will result in
   198  	// an error.
   199  	ParameterSpec_PARAMETER_TYPE_UNSPECIFIED ParameterSpec_ParameterType = 0
   200  	// Type for real-valued parameters.
   201  	ParameterSpec_DOUBLE ParameterSpec_ParameterType = 1
   202  	// Type for integral parameters.
   203  	ParameterSpec_INTEGER ParameterSpec_ParameterType = 2
   204  	// The parameter is categorical, with a value chosen from the categories
   205  	// field.
   206  	ParameterSpec_CATEGORICAL ParameterSpec_ParameterType = 3
   207  	// The parameter is real valued, with a fixed set of feasible points. If
   208  	// `type==DISCRETE`, feasible_points must be provided, and
   209  	// {`min_value`, `max_value`} will be ignored.
   210  	ParameterSpec_DISCRETE ParameterSpec_ParameterType = 4
   211  )
   212  
   213  // Enum value maps for ParameterSpec_ParameterType.
   214  var (
   215  	ParameterSpec_ParameterType_name = map[int32]string{
   216  		0: "PARAMETER_TYPE_UNSPECIFIED",
   217  		1: "DOUBLE",
   218  		2: "INTEGER",
   219  		3: "CATEGORICAL",
   220  		4: "DISCRETE",
   221  	}
   222  	ParameterSpec_ParameterType_value = map[string]int32{
   223  		"PARAMETER_TYPE_UNSPECIFIED": 0,
   224  		"DOUBLE":                     1,
   225  		"INTEGER":                    2,
   226  		"CATEGORICAL":                3,
   227  		"DISCRETE":                   4,
   228  	}
   229  )
   230  
   231  func (x ParameterSpec_ParameterType) Enum() *ParameterSpec_ParameterType {
   232  	p := new(ParameterSpec_ParameterType)
   233  	*p = x
   234  	return p
   235  }
   236  
   237  func (x ParameterSpec_ParameterType) String() string {
   238  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   239  }
   240  
   241  func (ParameterSpec_ParameterType) Descriptor() protoreflect.EnumDescriptor {
   242  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[2].Descriptor()
   243  }
   244  
   245  func (ParameterSpec_ParameterType) Type() protoreflect.EnumType {
   246  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[2]
   247  }
   248  
   249  func (x ParameterSpec_ParameterType) Number() protoreflect.EnumNumber {
   250  	return protoreflect.EnumNumber(x)
   251  }
   252  
   253  // Deprecated: Use ParameterSpec_ParameterType.Descriptor instead.
   254  func (ParameterSpec_ParameterType) EnumDescriptor() ([]byte, []int) {
   255  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{2, 0}
   256  }
   257  
   258  // The type of scaling that should be applied to this parameter.
   259  type ParameterSpec_ScaleType int32
   260  
   261  const (
   262  	// By default, no scaling is applied.
   263  	ParameterSpec_NONE ParameterSpec_ScaleType = 0
   264  	// Scales the feasible space to (0, 1) linearly.
   265  	ParameterSpec_UNIT_LINEAR_SCALE ParameterSpec_ScaleType = 1
   266  	// Scales the feasible space logarithmically to (0, 1). The entire feasible
   267  	// space must be strictly positive.
   268  	ParameterSpec_UNIT_LOG_SCALE ParameterSpec_ScaleType = 2
   269  	// Scales the feasible space "reverse" logarithmically to (0, 1). The result
   270  	// is that values close to the top of the feasible space are spread out more
   271  	// than points near the bottom. The entire feasible space must be strictly
   272  	// positive.
   273  	ParameterSpec_UNIT_REVERSE_LOG_SCALE ParameterSpec_ScaleType = 3
   274  )
   275  
   276  // Enum value maps for ParameterSpec_ScaleType.
   277  var (
   278  	ParameterSpec_ScaleType_name = map[int32]string{
   279  		0: "NONE",
   280  		1: "UNIT_LINEAR_SCALE",
   281  		2: "UNIT_LOG_SCALE",
   282  		3: "UNIT_REVERSE_LOG_SCALE",
   283  	}
   284  	ParameterSpec_ScaleType_value = map[string]int32{
   285  		"NONE":                   0,
   286  		"UNIT_LINEAR_SCALE":      1,
   287  		"UNIT_LOG_SCALE":         2,
   288  		"UNIT_REVERSE_LOG_SCALE": 3,
   289  	}
   290  )
   291  
   292  func (x ParameterSpec_ScaleType) Enum() *ParameterSpec_ScaleType {
   293  	p := new(ParameterSpec_ScaleType)
   294  	*p = x
   295  	return p
   296  }
   297  
   298  func (x ParameterSpec_ScaleType) String() string {
   299  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   300  }
   301  
   302  func (ParameterSpec_ScaleType) Descriptor() protoreflect.EnumDescriptor {
   303  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[3].Descriptor()
   304  }
   305  
   306  func (ParameterSpec_ScaleType) Type() protoreflect.EnumType {
   307  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[3]
   308  }
   309  
   310  func (x ParameterSpec_ScaleType) Number() protoreflect.EnumNumber {
   311  	return protoreflect.EnumNumber(x)
   312  }
   313  
   314  // Deprecated: Use ParameterSpec_ScaleType.Descriptor instead.
   315  func (ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int) {
   316  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{2, 1}
   317  }
   318  
   319  // The format used to separate data instances in the source files.
   320  type PredictionInput_DataFormat int32
   321  
   322  const (
   323  	// Unspecified format.
   324  	PredictionInput_DATA_FORMAT_UNSPECIFIED PredictionInput_DataFormat = 0
   325  	// The source file is a text file with instances separated by the
   326  	// new-line character.
   327  	PredictionInput_TEXT PredictionInput_DataFormat = 1
   328  	// The source file is a TFRecord file.
   329  	PredictionInput_TF_RECORD PredictionInput_DataFormat = 2
   330  	// The source file is a GZIP-compressed TFRecord file.
   331  	PredictionInput_TF_RECORD_GZIP PredictionInput_DataFormat = 3
   332  )
   333  
   334  // Enum value maps for PredictionInput_DataFormat.
   335  var (
   336  	PredictionInput_DataFormat_name = map[int32]string{
   337  		0: "DATA_FORMAT_UNSPECIFIED",
   338  		1: "TEXT",
   339  		2: "TF_RECORD",
   340  		3: "TF_RECORD_GZIP",
   341  	}
   342  	PredictionInput_DataFormat_value = map[string]int32{
   343  		"DATA_FORMAT_UNSPECIFIED": 0,
   344  		"TEXT":                    1,
   345  		"TF_RECORD":               2,
   346  		"TF_RECORD_GZIP":          3,
   347  	}
   348  )
   349  
   350  func (x PredictionInput_DataFormat) Enum() *PredictionInput_DataFormat {
   351  	p := new(PredictionInput_DataFormat)
   352  	*p = x
   353  	return p
   354  }
   355  
   356  func (x PredictionInput_DataFormat) String() string {
   357  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   358  }
   359  
   360  func (PredictionInput_DataFormat) Descriptor() protoreflect.EnumDescriptor {
   361  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[4].Descriptor()
   362  }
   363  
   364  func (PredictionInput_DataFormat) Type() protoreflect.EnumType {
   365  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[4]
   366  }
   367  
   368  func (x PredictionInput_DataFormat) Number() protoreflect.EnumNumber {
   369  	return protoreflect.EnumNumber(x)
   370  }
   371  
   372  // Deprecated: Use PredictionInput_DataFormat.Descriptor instead.
   373  func (PredictionInput_DataFormat) EnumDescriptor() ([]byte, []int) {
   374  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{5, 0}
   375  }
   376  
   377  // Describes the job state.
   378  type Job_State int32
   379  
   380  const (
   381  	// The job state is unspecified.
   382  	Job_STATE_UNSPECIFIED Job_State = 0
   383  	// The job has been just created and processing has not yet begun.
   384  	Job_QUEUED Job_State = 1
   385  	// The service is preparing to run the job.
   386  	Job_PREPARING Job_State = 2
   387  	// The job is in progress.
   388  	Job_RUNNING Job_State = 3
   389  	// The job completed successfully.
   390  	Job_SUCCEEDED Job_State = 4
   391  	// The job failed.
   392  	// `error_message` should contain the details of the failure.
   393  	Job_FAILED Job_State = 5
   394  	// The job is being cancelled.
   395  	// `error_message` should describe the reason for the cancellation.
   396  	Job_CANCELLING Job_State = 6
   397  	// The job has been cancelled.
   398  	// `error_message` should describe the reason for the cancellation.
   399  	Job_CANCELLED Job_State = 7
   400  )
   401  
   402  // Enum value maps for Job_State.
   403  var (
   404  	Job_State_name = map[int32]string{
   405  		0: "STATE_UNSPECIFIED",
   406  		1: "QUEUED",
   407  		2: "PREPARING",
   408  		3: "RUNNING",
   409  		4: "SUCCEEDED",
   410  		5: "FAILED",
   411  		6: "CANCELLING",
   412  		7: "CANCELLED",
   413  	}
   414  	Job_State_value = map[string]int32{
   415  		"STATE_UNSPECIFIED": 0,
   416  		"QUEUED":            1,
   417  		"PREPARING":         2,
   418  		"RUNNING":           3,
   419  		"SUCCEEDED":         4,
   420  		"FAILED":            5,
   421  		"CANCELLING":        6,
   422  		"CANCELLED":         7,
   423  	}
   424  )
   425  
   426  func (x Job_State) Enum() *Job_State {
   427  	p := new(Job_State)
   428  	*p = x
   429  	return p
   430  }
   431  
   432  func (x Job_State) String() string {
   433  	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
   434  }
   435  
   436  func (Job_State) Descriptor() protoreflect.EnumDescriptor {
   437  	return file_google_cloud_ml_v1_job_service_proto_enumTypes[5].Descriptor()
   438  }
   439  
   440  func (Job_State) Type() protoreflect.EnumType {
   441  	return &file_google_cloud_ml_v1_job_service_proto_enumTypes[5]
   442  }
   443  
   444  func (x Job_State) Number() protoreflect.EnumNumber {
   445  	return protoreflect.EnumNumber(x)
   446  }
   447  
   448  // Deprecated: Use Job_State.Descriptor instead.
   449  func (Job_State) EnumDescriptor() ([]byte, []int) {
   450  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{7, 0}
   451  }
   452  
   453  // Represents input parameters for a training job.
   454  type TrainingInput struct {
   455  	state         protoimpl.MessageState
   456  	sizeCache     protoimpl.SizeCache
   457  	unknownFields protoimpl.UnknownFields
   458  
   459  	// Required. Specifies the machine types, the number of replicas for workers
   460  	// and parameter servers.
   461  	ScaleTier TrainingInput_ScaleTier `protobuf:"varint,1,opt,name=scale_tier,json=scaleTier,proto3,enum=google.cloud.ml.v1.TrainingInput_ScaleTier" json:"scale_tier,omitempty"`
   462  	// Optional. Specifies the type of virtual machine to use for your training
   463  	// job's master worker.
   464  	//
   465  	// The following types are supported:
   466  	//
   467  	// <dl>
   468  	//   <dt>standard</dt>
   469  	//   <dd>
   470  	//   A basic machine configuration suitable for training simple models with
   471  	//   small to moderate datasets.
   472  	//   </dd>
   473  	//   <dt>large_model</dt>
   474  	//   <dd>
   475  	//   A machine with a lot of memory, specially suited for parameter servers
   476  	//   when your model is large (having many hidden layers or layers with very
   477  	//   large numbers of nodes).
   478  	//   </dd>
   479  	//   <dt>complex_model_s</dt>
   480  	//   <dd>
   481  	//   A machine suitable for the master and workers of the cluster when your
   482  	//   model requires more computation than the standard machine can handle
   483  	//   satisfactorily.
   484  	//   </dd>
   485  	//   <dt>complex_model_m</dt>
   486  	//   <dd>
   487  	//   A machine with roughly twice the number of cores and roughly double the
   488  	//   memory of <code suppresswarning="true">complex_model_s</code>.
   489  	//   </dd>
   490  	//   <dt>complex_model_l</dt>
   491  	//   <dd>
   492  	//   A machine with roughly twice the number of cores and roughly double the
   493  	//   memory of <code suppresswarning="true">complex_model_m</code>.
   494  	//   </dd>
   495  	//   <dt>standard_gpu</dt>
   496  	//   <dd>
   497  	//   A machine equivalent to <code suppresswarning="true">standard</code> that
   498  	//   also includes a
   499  	//   <a href="ml/docs/how-tos/using-gpus">
   500  	//   GPU that you can use in your trainer</a>.
   501  	//   </dd>
   502  	//   <dt>complex_model_m_gpu</dt>
   503  	//   <dd>
   504  	//   A machine equivalent to
   505  	//   <code suppresswarning="true">coplex_model_m</code> that also includes
   506  	//   four GPUs.
   507  	//   </dd>
   508  	// </dl>
   509  	//
   510  	// You must set this value when `scaleTier` is set to `CUSTOM`.
   511  	MasterType string `protobuf:"bytes,2,opt,name=master_type,json=masterType,proto3" json:"master_type,omitempty"`
   512  	// Optional. Specifies the type of virtual machine to use for your training
   513  	// job's worker nodes.
   514  	//
   515  	// The supported values are the same as those described in the entry for
   516  	// `masterType`.
   517  	//
   518  	// This value must be present when `scaleTier` is set to `CUSTOM` and
   519  	// `workerCount` is greater than zero.
   520  	WorkerType string `protobuf:"bytes,3,opt,name=worker_type,json=workerType,proto3" json:"worker_type,omitempty"`
   521  	// Optional. Specifies the type of virtual machine to use for your training
   522  	// job's parameter server.
   523  	//
   524  	// The supported values are the same as those described in the entry for
   525  	// `master_type`.
   526  	//
   527  	// This value must be present when `scaleTier` is set to `CUSTOM` and
   528  	// `parameter_server_count` is greater than zero.
   529  	ParameterServerType string `protobuf:"bytes,4,opt,name=parameter_server_type,json=parameterServerType,proto3" json:"parameter_server_type,omitempty"`
   530  	// Optional. The number of worker replicas to use for the training job. Each
   531  	// replica in the cluster will be of the type specified in `worker_type`.
   532  	//
   533  	// This value can only be used when `scale_tier` is set to `CUSTOM`. If you
   534  	// set this value, you must also set `worker_type`.
   535  	WorkerCount int64 `protobuf:"varint,5,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
   536  	// Optional. The number of parameter server replicas to use for the training
   537  	// job. Each replica in the cluster will be of the type specified in
   538  	// `parameter_server_type`.
   539  	//
   540  	// This value can only be used when `scale_tier` is set to `CUSTOM`.If you
   541  	// set this value, you must also set `parameter_server_type`.
   542  	ParameterServerCount int64 `protobuf:"varint,6,opt,name=parameter_server_count,json=parameterServerCount,proto3" json:"parameter_server_count,omitempty"`
   543  	// Required. The Google Cloud Storage location of the packages with
   544  	// the training program and any additional dependencies.
   545  	PackageUris []string `protobuf:"bytes,7,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
   546  	// Required. The Python module name to run after installing the packages.
   547  	PythonModule string `protobuf:"bytes,8,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
   548  	// Optional. Command line arguments to pass to the program.
   549  	Args []string `protobuf:"bytes,10,rep,name=args,proto3" json:"args,omitempty"`
   550  	// Optional. The set of Hyperparameters to tune.
   551  	Hyperparameters *HyperparameterSpec `protobuf:"bytes,12,opt,name=hyperparameters,proto3" json:"hyperparameters,omitempty"`
   552  	// Required. The Google Compute Engine region to run the training job in.
   553  	Region string `protobuf:"bytes,14,opt,name=region,proto3" json:"region,omitempty"`
   554  	// Optional. A Google Cloud Storage path in which to store training outputs
   555  	// and other data needed for training. This path is passed to your TensorFlow
   556  	// program as the 'job_dir' command-line argument. The benefit of specifying
   557  	// this field is that Cloud ML validates the path for use in training.
   558  	JobDir string `protobuf:"bytes,16,opt,name=job_dir,json=jobDir,proto3" json:"job_dir,omitempty"`
   559  	// Optional. The Google Cloud ML runtime version to use for training.  If not
   560  	// set, Google Cloud ML will choose the latest stable version.
   561  	RuntimeVersion string `protobuf:"bytes,15,opt,name=runtime_version,json=runtimeVersion,proto3" json:"runtime_version,omitempty"`
   562  }
   563  
   564  func (x *TrainingInput) Reset() {
   565  	*x = TrainingInput{}
   566  	if protoimpl.UnsafeEnabled {
   567  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[0]
   568  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   569  		ms.StoreMessageInfo(mi)
   570  	}
   571  }
   572  
   573  func (x *TrainingInput) String() string {
   574  	return protoimpl.X.MessageStringOf(x)
   575  }
   576  
   577  func (*TrainingInput) ProtoMessage() {}
   578  
   579  func (x *TrainingInput) ProtoReflect() protoreflect.Message {
   580  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[0]
   581  	if protoimpl.UnsafeEnabled && x != nil {
   582  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   583  		if ms.LoadMessageInfo() == nil {
   584  			ms.StoreMessageInfo(mi)
   585  		}
   586  		return ms
   587  	}
   588  	return mi.MessageOf(x)
   589  }
   590  
   591  // Deprecated: Use TrainingInput.ProtoReflect.Descriptor instead.
   592  func (*TrainingInput) Descriptor() ([]byte, []int) {
   593  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{0}
   594  }
   595  
   596  func (x *TrainingInput) GetScaleTier() TrainingInput_ScaleTier {
   597  	if x != nil {
   598  		return x.ScaleTier
   599  	}
   600  	return TrainingInput_BASIC
   601  }
   602  
   603  func (x *TrainingInput) GetMasterType() string {
   604  	if x != nil {
   605  		return x.MasterType
   606  	}
   607  	return ""
   608  }
   609  
   610  func (x *TrainingInput) GetWorkerType() string {
   611  	if x != nil {
   612  		return x.WorkerType
   613  	}
   614  	return ""
   615  }
   616  
   617  func (x *TrainingInput) GetParameterServerType() string {
   618  	if x != nil {
   619  		return x.ParameterServerType
   620  	}
   621  	return ""
   622  }
   623  
   624  func (x *TrainingInput) GetWorkerCount() int64 {
   625  	if x != nil {
   626  		return x.WorkerCount
   627  	}
   628  	return 0
   629  }
   630  
   631  func (x *TrainingInput) GetParameterServerCount() int64 {
   632  	if x != nil {
   633  		return x.ParameterServerCount
   634  	}
   635  	return 0
   636  }
   637  
   638  func (x *TrainingInput) GetPackageUris() []string {
   639  	if x != nil {
   640  		return x.PackageUris
   641  	}
   642  	return nil
   643  }
   644  
   645  func (x *TrainingInput) GetPythonModule() string {
   646  	if x != nil {
   647  		return x.PythonModule
   648  	}
   649  	return ""
   650  }
   651  
   652  func (x *TrainingInput) GetArgs() []string {
   653  	if x != nil {
   654  		return x.Args
   655  	}
   656  	return nil
   657  }
   658  
   659  func (x *TrainingInput) GetHyperparameters() *HyperparameterSpec {
   660  	if x != nil {
   661  		return x.Hyperparameters
   662  	}
   663  	return nil
   664  }
   665  
   666  func (x *TrainingInput) GetRegion() string {
   667  	if x != nil {
   668  		return x.Region
   669  	}
   670  	return ""
   671  }
   672  
   673  func (x *TrainingInput) GetJobDir() string {
   674  	if x != nil {
   675  		return x.JobDir
   676  	}
   677  	return ""
   678  }
   679  
   680  func (x *TrainingInput) GetRuntimeVersion() string {
   681  	if x != nil {
   682  		return x.RuntimeVersion
   683  	}
   684  	return ""
   685  }
   686  
   687  // Represents a set of hyperparameters to optimize.
   688  type HyperparameterSpec struct {
   689  	state         protoimpl.MessageState
   690  	sizeCache     protoimpl.SizeCache
   691  	unknownFields protoimpl.UnknownFields
   692  
   693  	// Required. The type of goal to use for tuning. Available types are
   694  	// `MAXIMIZE` and `MINIMIZE`.
   695  	//
   696  	// Defaults to `MAXIMIZE`.
   697  	Goal HyperparameterSpec_GoalType `protobuf:"varint,1,opt,name=goal,proto3,enum=google.cloud.ml.v1.HyperparameterSpec_GoalType" json:"goal,omitempty"`
   698  	// Required. The set of parameters to tune.
   699  	Params []*ParameterSpec `protobuf:"bytes,2,rep,name=params,proto3" json:"params,omitempty"`
   700  	// Optional. How many training trials should be attempted to optimize
   701  	// the specified hyperparameters.
   702  	//
   703  	// Defaults to one.
   704  	MaxTrials int32 `protobuf:"varint,3,opt,name=max_trials,json=maxTrials,proto3" json:"max_trials,omitempty"`
   705  	// Optional. The number of training trials to run concurrently.
   706  	// You can reduce the time it takes to perform hyperparameter tuning by adding
   707  	// trials in parallel. However, each trail only benefits from the information
   708  	// gained in completed trials. That means that a trial does not get access to
   709  	// the results of trials running at the same time, which could reduce the
   710  	// quality of the overall optimization.
   711  	//
   712  	// Each trial will use the same scale tier and machine types.
   713  	//
   714  	// Defaults to one.
   715  	MaxParallelTrials int32 `protobuf:"varint,4,opt,name=max_parallel_trials,json=maxParallelTrials,proto3" json:"max_parallel_trials,omitempty"`
   716  	// Optional. The Tensorflow summary tag name to use for optimizing trials. For
   717  	// current versions of Tensorflow, this tag name should exactly match what is
   718  	// shown in Tensorboard, including all scopes.  For versions of Tensorflow
   719  	// prior to 0.12, this should be only the tag passed to tf.Summary.
   720  	// By default, "training/hptuning/metric" will be used.
   721  	HyperparameterMetricTag string `protobuf:"bytes,5,opt,name=hyperparameter_metric_tag,json=hyperparameterMetricTag,proto3" json:"hyperparameter_metric_tag,omitempty"`
   722  }
   723  
   724  func (x *HyperparameterSpec) Reset() {
   725  	*x = HyperparameterSpec{}
   726  	if protoimpl.UnsafeEnabled {
   727  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[1]
   728  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   729  		ms.StoreMessageInfo(mi)
   730  	}
   731  }
   732  
   733  func (x *HyperparameterSpec) String() string {
   734  	return protoimpl.X.MessageStringOf(x)
   735  }
   736  
   737  func (*HyperparameterSpec) ProtoMessage() {}
   738  
   739  func (x *HyperparameterSpec) ProtoReflect() protoreflect.Message {
   740  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[1]
   741  	if protoimpl.UnsafeEnabled && x != nil {
   742  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   743  		if ms.LoadMessageInfo() == nil {
   744  			ms.StoreMessageInfo(mi)
   745  		}
   746  		return ms
   747  	}
   748  	return mi.MessageOf(x)
   749  }
   750  
   751  // Deprecated: Use HyperparameterSpec.ProtoReflect.Descriptor instead.
   752  func (*HyperparameterSpec) Descriptor() ([]byte, []int) {
   753  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{1}
   754  }
   755  
   756  func (x *HyperparameterSpec) GetGoal() HyperparameterSpec_GoalType {
   757  	if x != nil {
   758  		return x.Goal
   759  	}
   760  	return HyperparameterSpec_GOAL_TYPE_UNSPECIFIED
   761  }
   762  
   763  func (x *HyperparameterSpec) GetParams() []*ParameterSpec {
   764  	if x != nil {
   765  		return x.Params
   766  	}
   767  	return nil
   768  }
   769  
   770  func (x *HyperparameterSpec) GetMaxTrials() int32 {
   771  	if x != nil {
   772  		return x.MaxTrials
   773  	}
   774  	return 0
   775  }
   776  
   777  func (x *HyperparameterSpec) GetMaxParallelTrials() int32 {
   778  	if x != nil {
   779  		return x.MaxParallelTrials
   780  	}
   781  	return 0
   782  }
   783  
   784  func (x *HyperparameterSpec) GetHyperparameterMetricTag() string {
   785  	if x != nil {
   786  		return x.HyperparameterMetricTag
   787  	}
   788  	return ""
   789  }
   790  
   791  // Represents a single hyperparameter to optimize.
   792  type ParameterSpec struct {
   793  	state         protoimpl.MessageState
   794  	sizeCache     protoimpl.SizeCache
   795  	unknownFields protoimpl.UnknownFields
   796  
   797  	// Required. The parameter name must be unique amongst all ParameterConfigs in
   798  	// a HyperparameterSpec message. E.g., "learning_rate".
   799  	ParameterName string `protobuf:"bytes,1,opt,name=parameter_name,json=parameterName,proto3" json:"parameter_name,omitempty"`
   800  	// Required. The type of the parameter.
   801  	Type ParameterSpec_ParameterType `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.ml.v1.ParameterSpec_ParameterType" json:"type,omitempty"`
   802  	// Required if type is `DOUBLE` or `INTEGER`. This field
   803  	// should be unset if type is `CATEGORICAL`. This value should be integers if
   804  	// type is INTEGER.
   805  	MinValue float64 `protobuf:"fixed64,2,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
   806  	// Required if typeis `DOUBLE` or `INTEGER`. This field
   807  	// should be unset if type is `CATEGORICAL`. This value should be integers if
   808  	// type is `INTEGER`.
   809  	MaxValue float64 `protobuf:"fixed64,3,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
   810  	// Required if type is `CATEGORICAL`. The list of possible categories.
   811  	CategoricalValues []string `protobuf:"bytes,5,rep,name=categorical_values,json=categoricalValues,proto3" json:"categorical_values,omitempty"`
   812  	// Required if type is `DISCRETE`.
   813  	// A list of feasible points.
   814  	// The list should be in strictly increasing order. For instance, this
   815  	// parameter might have possible settings of 1.5, 2.5, and 4.0. This list
   816  	// should not contain more than 1,000 values.
   817  	DiscreteValues []float64 `protobuf:"fixed64,6,rep,packed,name=discrete_values,json=discreteValues,proto3" json:"discrete_values,omitempty"`
   818  	// Optional. How the parameter should be scaled to the hypercube.
   819  	// Leave unset for categorical parameters.
   820  	// Some kind of scaling is strongly recommended for real or integral
   821  	// parameters (e.g., `UNIT_LINEAR_SCALE`).
   822  	ScaleType ParameterSpec_ScaleType `protobuf:"varint,7,opt,name=scale_type,json=scaleType,proto3,enum=google.cloud.ml.v1.ParameterSpec_ScaleType" json:"scale_type,omitempty"`
   823  }
   824  
   825  func (x *ParameterSpec) Reset() {
   826  	*x = ParameterSpec{}
   827  	if protoimpl.UnsafeEnabled {
   828  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[2]
   829  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   830  		ms.StoreMessageInfo(mi)
   831  	}
   832  }
   833  
   834  func (x *ParameterSpec) String() string {
   835  	return protoimpl.X.MessageStringOf(x)
   836  }
   837  
   838  func (*ParameterSpec) ProtoMessage() {}
   839  
   840  func (x *ParameterSpec) ProtoReflect() protoreflect.Message {
   841  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[2]
   842  	if protoimpl.UnsafeEnabled && x != nil {
   843  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   844  		if ms.LoadMessageInfo() == nil {
   845  			ms.StoreMessageInfo(mi)
   846  		}
   847  		return ms
   848  	}
   849  	return mi.MessageOf(x)
   850  }
   851  
   852  // Deprecated: Use ParameterSpec.ProtoReflect.Descriptor instead.
   853  func (*ParameterSpec) Descriptor() ([]byte, []int) {
   854  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{2}
   855  }
   856  
   857  func (x *ParameterSpec) GetParameterName() string {
   858  	if x != nil {
   859  		return x.ParameterName
   860  	}
   861  	return ""
   862  }
   863  
   864  func (x *ParameterSpec) GetType() ParameterSpec_ParameterType {
   865  	if x != nil {
   866  		return x.Type
   867  	}
   868  	return ParameterSpec_PARAMETER_TYPE_UNSPECIFIED
   869  }
   870  
   871  func (x *ParameterSpec) GetMinValue() float64 {
   872  	if x != nil {
   873  		return x.MinValue
   874  	}
   875  	return 0
   876  }
   877  
   878  func (x *ParameterSpec) GetMaxValue() float64 {
   879  	if x != nil {
   880  		return x.MaxValue
   881  	}
   882  	return 0
   883  }
   884  
   885  func (x *ParameterSpec) GetCategoricalValues() []string {
   886  	if x != nil {
   887  		return x.CategoricalValues
   888  	}
   889  	return nil
   890  }
   891  
   892  func (x *ParameterSpec) GetDiscreteValues() []float64 {
   893  	if x != nil {
   894  		return x.DiscreteValues
   895  	}
   896  	return nil
   897  }
   898  
   899  func (x *ParameterSpec) GetScaleType() ParameterSpec_ScaleType {
   900  	if x != nil {
   901  		return x.ScaleType
   902  	}
   903  	return ParameterSpec_NONE
   904  }
   905  
   906  // Represents the result of a single hyperparameter tuning trial from a
   907  // training job. The TrainingOutput object that is returned on successful
   908  // completion of a training job with hyperparameter tuning includes a list
   909  // of HyperparameterOutput objects, one for each successful trial.
   910  type HyperparameterOutput struct {
   911  	state         protoimpl.MessageState
   912  	sizeCache     protoimpl.SizeCache
   913  	unknownFields protoimpl.UnknownFields
   914  
   915  	// The trial id for these results.
   916  	TrialId string `protobuf:"bytes,1,opt,name=trial_id,json=trialId,proto3" json:"trial_id,omitempty"`
   917  	// The hyperparameters given to this trial.
   918  	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"`
   919  	// The final objective metric seen for this trial.
   920  	FinalMetric *HyperparameterOutput_HyperparameterMetric `protobuf:"bytes,3,opt,name=final_metric,json=finalMetric,proto3" json:"final_metric,omitempty"`
   921  	// All recorded object metrics for this trial.
   922  	AllMetrics []*HyperparameterOutput_HyperparameterMetric `protobuf:"bytes,4,rep,name=all_metrics,json=allMetrics,proto3" json:"all_metrics,omitempty"`
   923  }
   924  
   925  func (x *HyperparameterOutput) Reset() {
   926  	*x = HyperparameterOutput{}
   927  	if protoimpl.UnsafeEnabled {
   928  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[3]
   929  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   930  		ms.StoreMessageInfo(mi)
   931  	}
   932  }
   933  
   934  func (x *HyperparameterOutput) String() string {
   935  	return protoimpl.X.MessageStringOf(x)
   936  }
   937  
   938  func (*HyperparameterOutput) ProtoMessage() {}
   939  
   940  func (x *HyperparameterOutput) ProtoReflect() protoreflect.Message {
   941  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[3]
   942  	if protoimpl.UnsafeEnabled && x != nil {
   943  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
   944  		if ms.LoadMessageInfo() == nil {
   945  			ms.StoreMessageInfo(mi)
   946  		}
   947  		return ms
   948  	}
   949  	return mi.MessageOf(x)
   950  }
   951  
   952  // Deprecated: Use HyperparameterOutput.ProtoReflect.Descriptor instead.
   953  func (*HyperparameterOutput) Descriptor() ([]byte, []int) {
   954  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{3}
   955  }
   956  
   957  func (x *HyperparameterOutput) GetTrialId() string {
   958  	if x != nil {
   959  		return x.TrialId
   960  	}
   961  	return ""
   962  }
   963  
   964  func (x *HyperparameterOutput) GetHyperparameters() map[string]string {
   965  	if x != nil {
   966  		return x.Hyperparameters
   967  	}
   968  	return nil
   969  }
   970  
   971  func (x *HyperparameterOutput) GetFinalMetric() *HyperparameterOutput_HyperparameterMetric {
   972  	if x != nil {
   973  		return x.FinalMetric
   974  	}
   975  	return nil
   976  }
   977  
   978  func (x *HyperparameterOutput) GetAllMetrics() []*HyperparameterOutput_HyperparameterMetric {
   979  	if x != nil {
   980  		return x.AllMetrics
   981  	}
   982  	return nil
   983  }
   984  
   985  // Represents results of a training job. Output only.
   986  type TrainingOutput struct {
   987  	state         protoimpl.MessageState
   988  	sizeCache     protoimpl.SizeCache
   989  	unknownFields protoimpl.UnknownFields
   990  
   991  	// The number of hyperparameter tuning trials that completed successfully.
   992  	// Only set for hyperparameter tuning jobs.
   993  	CompletedTrialCount int64 `protobuf:"varint,1,opt,name=completed_trial_count,json=completedTrialCount,proto3" json:"completed_trial_count,omitempty"`
   994  	// Results for individual Hyperparameter trials.
   995  	// Only set for hyperparameter tuning jobs.
   996  	Trials []*HyperparameterOutput `protobuf:"bytes,2,rep,name=trials,proto3" json:"trials,omitempty"`
   997  	// The amount of ML units consumed by the job.
   998  	ConsumedMlUnits float64 `protobuf:"fixed64,3,opt,name=consumed_ml_units,json=consumedMlUnits,proto3" json:"consumed_ml_units,omitempty"`
   999  	// Whether this job is a hyperparameter tuning job.
  1000  	IsHyperparameterTuningJob bool `protobuf:"varint,4,opt,name=is_hyperparameter_tuning_job,json=isHyperparameterTuningJob,proto3" json:"is_hyperparameter_tuning_job,omitempty"`
  1001  }
  1002  
  1003  func (x *TrainingOutput) Reset() {
  1004  	*x = TrainingOutput{}
  1005  	if protoimpl.UnsafeEnabled {
  1006  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[4]
  1007  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1008  		ms.StoreMessageInfo(mi)
  1009  	}
  1010  }
  1011  
  1012  func (x *TrainingOutput) String() string {
  1013  	return protoimpl.X.MessageStringOf(x)
  1014  }
  1015  
  1016  func (*TrainingOutput) ProtoMessage() {}
  1017  
  1018  func (x *TrainingOutput) ProtoReflect() protoreflect.Message {
  1019  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[4]
  1020  	if protoimpl.UnsafeEnabled && x != nil {
  1021  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1022  		if ms.LoadMessageInfo() == nil {
  1023  			ms.StoreMessageInfo(mi)
  1024  		}
  1025  		return ms
  1026  	}
  1027  	return mi.MessageOf(x)
  1028  }
  1029  
  1030  // Deprecated: Use TrainingOutput.ProtoReflect.Descriptor instead.
  1031  func (*TrainingOutput) Descriptor() ([]byte, []int) {
  1032  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{4}
  1033  }
  1034  
  1035  func (x *TrainingOutput) GetCompletedTrialCount() int64 {
  1036  	if x != nil {
  1037  		return x.CompletedTrialCount
  1038  	}
  1039  	return 0
  1040  }
  1041  
  1042  func (x *TrainingOutput) GetTrials() []*HyperparameterOutput {
  1043  	if x != nil {
  1044  		return x.Trials
  1045  	}
  1046  	return nil
  1047  }
  1048  
  1049  func (x *TrainingOutput) GetConsumedMlUnits() float64 {
  1050  	if x != nil {
  1051  		return x.ConsumedMlUnits
  1052  	}
  1053  	return 0
  1054  }
  1055  
  1056  func (x *TrainingOutput) GetIsHyperparameterTuningJob() bool {
  1057  	if x != nil {
  1058  		return x.IsHyperparameterTuningJob
  1059  	}
  1060  	return false
  1061  }
  1062  
  1063  // Represents input parameters for a prediction job.
  1064  type PredictionInput struct {
  1065  	state         protoimpl.MessageState
  1066  	sizeCache     protoimpl.SizeCache
  1067  	unknownFields protoimpl.UnknownFields
  1068  
  1069  	// Required. The model or the version to use for prediction.
  1070  	//
  1071  	// Types that are assignable to ModelVersion:
  1072  	//	*PredictionInput_ModelName
  1073  	//	*PredictionInput_VersionName
  1074  	//	*PredictionInput_Uri
  1075  	ModelVersion isPredictionInput_ModelVersion `protobuf_oneof:"model_version"`
  1076  	// Required. The format of the input data files.
  1077  	DataFormat PredictionInput_DataFormat `protobuf:"varint,3,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.ml.v1.PredictionInput_DataFormat" json:"data_format,omitempty"`
  1078  	// Required. The Google Cloud Storage location of the input data files.
  1079  	// May contain wildcards.
  1080  	InputPaths []string `protobuf:"bytes,4,rep,name=input_paths,json=inputPaths,proto3" json:"input_paths,omitempty"`
  1081  	// Required. The output Google Cloud Storage location.
  1082  	OutputPath string `protobuf:"bytes,5,opt,name=output_path,json=outputPath,proto3" json:"output_path,omitempty"`
  1083  	// Optional. The maximum number of workers to be used for parallel processing.
  1084  	// Defaults to 10 if not specified.
  1085  	MaxWorkerCount int64 `protobuf:"varint,6,opt,name=max_worker_count,json=maxWorkerCount,proto3" json:"max_worker_count,omitempty"`
  1086  	// Required. The Google Compute Engine region to run the prediction job in.
  1087  	Region string `protobuf:"bytes,7,opt,name=region,proto3" json:"region,omitempty"`
  1088  	// Optional. The Google Cloud ML runtime version to use for this batch
  1089  	// prediction. If not set, Google Cloud ML will pick the runtime version used
  1090  	// during the CreateVersion request for this model version, or choose the
  1091  	// latest stable version when model version information is not available
  1092  	// such as when the model is specified by uri.
  1093  	RuntimeVersion string `protobuf:"bytes,8,opt,name=runtime_version,json=runtimeVersion,proto3" json:"runtime_version,omitempty"`
  1094  }
  1095  
  1096  func (x *PredictionInput) Reset() {
  1097  	*x = PredictionInput{}
  1098  	if protoimpl.UnsafeEnabled {
  1099  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[5]
  1100  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1101  		ms.StoreMessageInfo(mi)
  1102  	}
  1103  }
  1104  
  1105  func (x *PredictionInput) String() string {
  1106  	return protoimpl.X.MessageStringOf(x)
  1107  }
  1108  
  1109  func (*PredictionInput) ProtoMessage() {}
  1110  
  1111  func (x *PredictionInput) ProtoReflect() protoreflect.Message {
  1112  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[5]
  1113  	if protoimpl.UnsafeEnabled && x != nil {
  1114  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1115  		if ms.LoadMessageInfo() == nil {
  1116  			ms.StoreMessageInfo(mi)
  1117  		}
  1118  		return ms
  1119  	}
  1120  	return mi.MessageOf(x)
  1121  }
  1122  
  1123  // Deprecated: Use PredictionInput.ProtoReflect.Descriptor instead.
  1124  func (*PredictionInput) Descriptor() ([]byte, []int) {
  1125  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{5}
  1126  }
  1127  
  1128  func (m *PredictionInput) GetModelVersion() isPredictionInput_ModelVersion {
  1129  	if m != nil {
  1130  		return m.ModelVersion
  1131  	}
  1132  	return nil
  1133  }
  1134  
  1135  func (x *PredictionInput) GetModelName() string {
  1136  	if x, ok := x.GetModelVersion().(*PredictionInput_ModelName); ok {
  1137  		return x.ModelName
  1138  	}
  1139  	return ""
  1140  }
  1141  
  1142  func (x *PredictionInput) GetVersionName() string {
  1143  	if x, ok := x.GetModelVersion().(*PredictionInput_VersionName); ok {
  1144  		return x.VersionName
  1145  	}
  1146  	return ""
  1147  }
  1148  
  1149  func (x *PredictionInput) GetUri() string {
  1150  	if x, ok := x.GetModelVersion().(*PredictionInput_Uri); ok {
  1151  		return x.Uri
  1152  	}
  1153  	return ""
  1154  }
  1155  
  1156  func (x *PredictionInput) GetDataFormat() PredictionInput_DataFormat {
  1157  	if x != nil {
  1158  		return x.DataFormat
  1159  	}
  1160  	return PredictionInput_DATA_FORMAT_UNSPECIFIED
  1161  }
  1162  
  1163  func (x *PredictionInput) GetInputPaths() []string {
  1164  	if x != nil {
  1165  		return x.InputPaths
  1166  	}
  1167  	return nil
  1168  }
  1169  
  1170  func (x *PredictionInput) GetOutputPath() string {
  1171  	if x != nil {
  1172  		return x.OutputPath
  1173  	}
  1174  	return ""
  1175  }
  1176  
  1177  func (x *PredictionInput) GetMaxWorkerCount() int64 {
  1178  	if x != nil {
  1179  		return x.MaxWorkerCount
  1180  	}
  1181  	return 0
  1182  }
  1183  
  1184  func (x *PredictionInput) GetRegion() string {
  1185  	if x != nil {
  1186  		return x.Region
  1187  	}
  1188  	return ""
  1189  }
  1190  
  1191  func (x *PredictionInput) GetRuntimeVersion() string {
  1192  	if x != nil {
  1193  		return x.RuntimeVersion
  1194  	}
  1195  	return ""
  1196  }
  1197  
  1198  type isPredictionInput_ModelVersion interface {
  1199  	isPredictionInput_ModelVersion()
  1200  }
  1201  
  1202  type PredictionInput_ModelName struct {
  1203  	// Use this field if you want to use the default version for the specified
  1204  	// model. The string must use the following format:
  1205  	//
  1206  	// `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
  1207  	ModelName string `protobuf:"bytes,1,opt,name=model_name,json=modelName,proto3,oneof"`
  1208  }
  1209  
  1210  type PredictionInput_VersionName struct {
  1211  	// Use this field if you want to specify a version of the model to use. The
  1212  	// string is formatted the same way as `model_version`, with the addition
  1213  	// of the version information:
  1214  	//
  1215  	// `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
  1216  	VersionName string `protobuf:"bytes,2,opt,name=version_name,json=versionName,proto3,oneof"`
  1217  }
  1218  
  1219  type PredictionInput_Uri struct {
  1220  	// Use this field if you want to specify a Google Cloud Storage path for
  1221  	// the model to use.
  1222  	Uri string `protobuf:"bytes,9,opt,name=uri,proto3,oneof"`
  1223  }
  1224  
  1225  func (*PredictionInput_ModelName) isPredictionInput_ModelVersion() {}
  1226  
  1227  func (*PredictionInput_VersionName) isPredictionInput_ModelVersion() {}
  1228  
  1229  func (*PredictionInput_Uri) isPredictionInput_ModelVersion() {}
  1230  
  1231  // Represents results of a prediction job.
  1232  type PredictionOutput struct {
  1233  	state         protoimpl.MessageState
  1234  	sizeCache     protoimpl.SizeCache
  1235  	unknownFields protoimpl.UnknownFields
  1236  
  1237  	// The output Google Cloud Storage location provided at the job creation time.
  1238  	OutputPath string `protobuf:"bytes,1,opt,name=output_path,json=outputPath,proto3" json:"output_path,omitempty"`
  1239  	// The number of generated predictions.
  1240  	PredictionCount int64 `protobuf:"varint,2,opt,name=prediction_count,json=predictionCount,proto3" json:"prediction_count,omitempty"`
  1241  	// The number of data instances which resulted in errors.
  1242  	ErrorCount int64 `protobuf:"varint,3,opt,name=error_count,json=errorCount,proto3" json:"error_count,omitempty"`
  1243  	// Node hours used by the batch prediction job.
  1244  	NodeHours float64 `protobuf:"fixed64,4,opt,name=node_hours,json=nodeHours,proto3" json:"node_hours,omitempty"`
  1245  }
  1246  
  1247  func (x *PredictionOutput) Reset() {
  1248  	*x = PredictionOutput{}
  1249  	if protoimpl.UnsafeEnabled {
  1250  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[6]
  1251  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1252  		ms.StoreMessageInfo(mi)
  1253  	}
  1254  }
  1255  
  1256  func (x *PredictionOutput) String() string {
  1257  	return protoimpl.X.MessageStringOf(x)
  1258  }
  1259  
  1260  func (*PredictionOutput) ProtoMessage() {}
  1261  
  1262  func (x *PredictionOutput) ProtoReflect() protoreflect.Message {
  1263  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[6]
  1264  	if protoimpl.UnsafeEnabled && x != nil {
  1265  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1266  		if ms.LoadMessageInfo() == nil {
  1267  			ms.StoreMessageInfo(mi)
  1268  		}
  1269  		return ms
  1270  	}
  1271  	return mi.MessageOf(x)
  1272  }
  1273  
  1274  // Deprecated: Use PredictionOutput.ProtoReflect.Descriptor instead.
  1275  func (*PredictionOutput) Descriptor() ([]byte, []int) {
  1276  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{6}
  1277  }
  1278  
  1279  func (x *PredictionOutput) GetOutputPath() string {
  1280  	if x != nil {
  1281  		return x.OutputPath
  1282  	}
  1283  	return ""
  1284  }
  1285  
  1286  func (x *PredictionOutput) GetPredictionCount() int64 {
  1287  	if x != nil {
  1288  		return x.PredictionCount
  1289  	}
  1290  	return 0
  1291  }
  1292  
  1293  func (x *PredictionOutput) GetErrorCount() int64 {
  1294  	if x != nil {
  1295  		return x.ErrorCount
  1296  	}
  1297  	return 0
  1298  }
  1299  
  1300  func (x *PredictionOutput) GetNodeHours() float64 {
  1301  	if x != nil {
  1302  		return x.NodeHours
  1303  	}
  1304  	return 0
  1305  }
  1306  
  1307  // Represents a training or prediction job.
  1308  type Job struct {
  1309  	state         protoimpl.MessageState
  1310  	sizeCache     protoimpl.SizeCache
  1311  	unknownFields protoimpl.UnknownFields
  1312  
  1313  	// Required. The user-specified id of the job.
  1314  	JobId string `protobuf:"bytes,1,opt,name=job_id,json=jobId,proto3" json:"job_id,omitempty"`
  1315  	// Required. Parameters to create a job.
  1316  	//
  1317  	// Types that are assignable to Input:
  1318  	//	*Job_TrainingInput
  1319  	//	*Job_PredictionInput
  1320  	Input isJob_Input `protobuf_oneof:"input"`
  1321  	// Output only. When the job was created.
  1322  	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
  1323  	// Output only. When the job processing was started.
  1324  	StartTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
  1325  	// Output only. When the job processing was completed.
  1326  	EndTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
  1327  	// Output only. The detailed state of a job.
  1328  	State Job_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.ml.v1.Job_State" json:"state,omitempty"`
  1329  	// Output only. The details of a failure or a cancellation.
  1330  	ErrorMessage string `protobuf:"bytes,8,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`
  1331  	// Output only. The current result of the job.
  1332  	//
  1333  	// Types that are assignable to Output:
  1334  	//	*Job_TrainingOutput
  1335  	//	*Job_PredictionOutput
  1336  	Output isJob_Output `protobuf_oneof:"output"`
  1337  }
  1338  
  1339  func (x *Job) Reset() {
  1340  	*x = Job{}
  1341  	if protoimpl.UnsafeEnabled {
  1342  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[7]
  1343  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1344  		ms.StoreMessageInfo(mi)
  1345  	}
  1346  }
  1347  
  1348  func (x *Job) String() string {
  1349  	return protoimpl.X.MessageStringOf(x)
  1350  }
  1351  
  1352  func (*Job) ProtoMessage() {}
  1353  
  1354  func (x *Job) ProtoReflect() protoreflect.Message {
  1355  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[7]
  1356  	if protoimpl.UnsafeEnabled && x != nil {
  1357  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1358  		if ms.LoadMessageInfo() == nil {
  1359  			ms.StoreMessageInfo(mi)
  1360  		}
  1361  		return ms
  1362  	}
  1363  	return mi.MessageOf(x)
  1364  }
  1365  
  1366  // Deprecated: Use Job.ProtoReflect.Descriptor instead.
  1367  func (*Job) Descriptor() ([]byte, []int) {
  1368  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{7}
  1369  }
  1370  
  1371  func (x *Job) GetJobId() string {
  1372  	if x != nil {
  1373  		return x.JobId
  1374  	}
  1375  	return ""
  1376  }
  1377  
  1378  func (m *Job) GetInput() isJob_Input {
  1379  	if m != nil {
  1380  		return m.Input
  1381  	}
  1382  	return nil
  1383  }
  1384  
  1385  func (x *Job) GetTrainingInput() *TrainingInput {
  1386  	if x, ok := x.GetInput().(*Job_TrainingInput); ok {
  1387  		return x.TrainingInput
  1388  	}
  1389  	return nil
  1390  }
  1391  
  1392  func (x *Job) GetPredictionInput() *PredictionInput {
  1393  	if x, ok := x.GetInput().(*Job_PredictionInput); ok {
  1394  		return x.PredictionInput
  1395  	}
  1396  	return nil
  1397  }
  1398  
  1399  func (x *Job) GetCreateTime() *timestamppb.Timestamp {
  1400  	if x != nil {
  1401  		return x.CreateTime
  1402  	}
  1403  	return nil
  1404  }
  1405  
  1406  func (x *Job) GetStartTime() *timestamppb.Timestamp {
  1407  	if x != nil {
  1408  		return x.StartTime
  1409  	}
  1410  	return nil
  1411  }
  1412  
  1413  func (x *Job) GetEndTime() *timestamppb.Timestamp {
  1414  	if x != nil {
  1415  		return x.EndTime
  1416  	}
  1417  	return nil
  1418  }
  1419  
  1420  func (x *Job) GetState() Job_State {
  1421  	if x != nil {
  1422  		return x.State
  1423  	}
  1424  	return Job_STATE_UNSPECIFIED
  1425  }
  1426  
  1427  func (x *Job) GetErrorMessage() string {
  1428  	if x != nil {
  1429  		return x.ErrorMessage
  1430  	}
  1431  	return ""
  1432  }
  1433  
  1434  func (m *Job) GetOutput() isJob_Output {
  1435  	if m != nil {
  1436  		return m.Output
  1437  	}
  1438  	return nil
  1439  }
  1440  
  1441  func (x *Job) GetTrainingOutput() *TrainingOutput {
  1442  	if x, ok := x.GetOutput().(*Job_TrainingOutput); ok {
  1443  		return x.TrainingOutput
  1444  	}
  1445  	return nil
  1446  }
  1447  
  1448  func (x *Job) GetPredictionOutput() *PredictionOutput {
  1449  	if x, ok := x.GetOutput().(*Job_PredictionOutput); ok {
  1450  		return x.PredictionOutput
  1451  	}
  1452  	return nil
  1453  }
  1454  
  1455  type isJob_Input interface {
  1456  	isJob_Input()
  1457  }
  1458  
  1459  type Job_TrainingInput struct {
  1460  	// Input parameters to create a training job.
  1461  	TrainingInput *TrainingInput `protobuf:"bytes,2,opt,name=training_input,json=trainingInput,proto3,oneof"`
  1462  }
  1463  
  1464  type Job_PredictionInput struct {
  1465  	// Input parameters to create a prediction job.
  1466  	PredictionInput *PredictionInput `protobuf:"bytes,3,opt,name=prediction_input,json=predictionInput,proto3,oneof"`
  1467  }
  1468  
  1469  func (*Job_TrainingInput) isJob_Input() {}
  1470  
  1471  func (*Job_PredictionInput) isJob_Input() {}
  1472  
  1473  type isJob_Output interface {
  1474  	isJob_Output()
  1475  }
  1476  
  1477  type Job_TrainingOutput struct {
  1478  	// The current training job result.
  1479  	TrainingOutput *TrainingOutput `protobuf:"bytes,9,opt,name=training_output,json=trainingOutput,proto3,oneof"`
  1480  }
  1481  
  1482  type Job_PredictionOutput struct {
  1483  	// The current prediction job result.
  1484  	PredictionOutput *PredictionOutput `protobuf:"bytes,10,opt,name=prediction_output,json=predictionOutput,proto3,oneof"`
  1485  }
  1486  
  1487  func (*Job_TrainingOutput) isJob_Output() {}
  1488  
  1489  func (*Job_PredictionOutput) isJob_Output() {}
  1490  
  1491  // Request message for the CreateJob method.
  1492  type CreateJobRequest struct {
  1493  	state         protoimpl.MessageState
  1494  	sizeCache     protoimpl.SizeCache
  1495  	unknownFields protoimpl.UnknownFields
  1496  
  1497  	// Required. The project name.
  1498  	//
  1499  	// Authorization: requires `Editor` role on the specified project.
  1500  	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
  1501  	// Required. The job to create.
  1502  	Job *Job `protobuf:"bytes,2,opt,name=job,proto3" json:"job,omitempty"`
  1503  }
  1504  
  1505  func (x *CreateJobRequest) Reset() {
  1506  	*x = CreateJobRequest{}
  1507  	if protoimpl.UnsafeEnabled {
  1508  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[8]
  1509  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1510  		ms.StoreMessageInfo(mi)
  1511  	}
  1512  }
  1513  
  1514  func (x *CreateJobRequest) String() string {
  1515  	return protoimpl.X.MessageStringOf(x)
  1516  }
  1517  
  1518  func (*CreateJobRequest) ProtoMessage() {}
  1519  
  1520  func (x *CreateJobRequest) ProtoReflect() protoreflect.Message {
  1521  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[8]
  1522  	if protoimpl.UnsafeEnabled && x != nil {
  1523  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1524  		if ms.LoadMessageInfo() == nil {
  1525  			ms.StoreMessageInfo(mi)
  1526  		}
  1527  		return ms
  1528  	}
  1529  	return mi.MessageOf(x)
  1530  }
  1531  
  1532  // Deprecated: Use CreateJobRequest.ProtoReflect.Descriptor instead.
  1533  func (*CreateJobRequest) Descriptor() ([]byte, []int) {
  1534  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{8}
  1535  }
  1536  
  1537  func (x *CreateJobRequest) GetParent() string {
  1538  	if x != nil {
  1539  		return x.Parent
  1540  	}
  1541  	return ""
  1542  }
  1543  
  1544  func (x *CreateJobRequest) GetJob() *Job {
  1545  	if x != nil {
  1546  		return x.Job
  1547  	}
  1548  	return nil
  1549  }
  1550  
  1551  // Request message for the ListJobs method.
  1552  type ListJobsRequest struct {
  1553  	state         protoimpl.MessageState
  1554  	sizeCache     protoimpl.SizeCache
  1555  	unknownFields protoimpl.UnknownFields
  1556  
  1557  	// Required. The name of the project for which to list jobs.
  1558  	//
  1559  	// Authorization: requires `Viewer` role on the specified project.
  1560  	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
  1561  	// Optional. Specifies the subset of jobs to retrieve.
  1562  	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
  1563  	// Optional. A page token to request the next page of results.
  1564  	//
  1565  	// You get the token from the `next_page_token` field of the response from
  1566  	// the previous call.
  1567  	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
  1568  	// Optional. The number of jobs to retrieve per "page" of results. If there
  1569  	// are more remaining results than this number, the response message will
  1570  	// contain a valid value in the `next_page_token` field.
  1571  	//
  1572  	// The default value is 20, and the maximum page size is 100.
  1573  	PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
  1574  }
  1575  
  1576  func (x *ListJobsRequest) Reset() {
  1577  	*x = ListJobsRequest{}
  1578  	if protoimpl.UnsafeEnabled {
  1579  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[9]
  1580  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1581  		ms.StoreMessageInfo(mi)
  1582  	}
  1583  }
  1584  
  1585  func (x *ListJobsRequest) String() string {
  1586  	return protoimpl.X.MessageStringOf(x)
  1587  }
  1588  
  1589  func (*ListJobsRequest) ProtoMessage() {}
  1590  
  1591  func (x *ListJobsRequest) ProtoReflect() protoreflect.Message {
  1592  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[9]
  1593  	if protoimpl.UnsafeEnabled && x != nil {
  1594  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1595  		if ms.LoadMessageInfo() == nil {
  1596  			ms.StoreMessageInfo(mi)
  1597  		}
  1598  		return ms
  1599  	}
  1600  	return mi.MessageOf(x)
  1601  }
  1602  
  1603  // Deprecated: Use ListJobsRequest.ProtoReflect.Descriptor instead.
  1604  func (*ListJobsRequest) Descriptor() ([]byte, []int) {
  1605  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{9}
  1606  }
  1607  
  1608  func (x *ListJobsRequest) GetParent() string {
  1609  	if x != nil {
  1610  		return x.Parent
  1611  	}
  1612  	return ""
  1613  }
  1614  
  1615  func (x *ListJobsRequest) GetFilter() string {
  1616  	if x != nil {
  1617  		return x.Filter
  1618  	}
  1619  	return ""
  1620  }
  1621  
  1622  func (x *ListJobsRequest) GetPageToken() string {
  1623  	if x != nil {
  1624  		return x.PageToken
  1625  	}
  1626  	return ""
  1627  }
  1628  
  1629  func (x *ListJobsRequest) GetPageSize() int32 {
  1630  	if x != nil {
  1631  		return x.PageSize
  1632  	}
  1633  	return 0
  1634  }
  1635  
  1636  // Response message for the ListJobs method.
  1637  type ListJobsResponse struct {
  1638  	state         protoimpl.MessageState
  1639  	sizeCache     protoimpl.SizeCache
  1640  	unknownFields protoimpl.UnknownFields
  1641  
  1642  	// The list of jobs.
  1643  	Jobs []*Job `protobuf:"bytes,1,rep,name=jobs,proto3" json:"jobs,omitempty"`
  1644  	// Optional. Pass this token as the `page_token` field of the request for a
  1645  	// subsequent call.
  1646  	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
  1647  }
  1648  
  1649  func (x *ListJobsResponse) Reset() {
  1650  	*x = ListJobsResponse{}
  1651  	if protoimpl.UnsafeEnabled {
  1652  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[10]
  1653  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1654  		ms.StoreMessageInfo(mi)
  1655  	}
  1656  }
  1657  
  1658  func (x *ListJobsResponse) String() string {
  1659  	return protoimpl.X.MessageStringOf(x)
  1660  }
  1661  
  1662  func (*ListJobsResponse) ProtoMessage() {}
  1663  
  1664  func (x *ListJobsResponse) ProtoReflect() protoreflect.Message {
  1665  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[10]
  1666  	if protoimpl.UnsafeEnabled && x != nil {
  1667  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1668  		if ms.LoadMessageInfo() == nil {
  1669  			ms.StoreMessageInfo(mi)
  1670  		}
  1671  		return ms
  1672  	}
  1673  	return mi.MessageOf(x)
  1674  }
  1675  
  1676  // Deprecated: Use ListJobsResponse.ProtoReflect.Descriptor instead.
  1677  func (*ListJobsResponse) Descriptor() ([]byte, []int) {
  1678  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{10}
  1679  }
  1680  
  1681  func (x *ListJobsResponse) GetJobs() []*Job {
  1682  	if x != nil {
  1683  		return x.Jobs
  1684  	}
  1685  	return nil
  1686  }
  1687  
  1688  func (x *ListJobsResponse) GetNextPageToken() string {
  1689  	if x != nil {
  1690  		return x.NextPageToken
  1691  	}
  1692  	return ""
  1693  }
  1694  
  1695  // Request message for the GetJob method.
  1696  type GetJobRequest struct {
  1697  	state         protoimpl.MessageState
  1698  	sizeCache     protoimpl.SizeCache
  1699  	unknownFields protoimpl.UnknownFields
  1700  
  1701  	// Required. The name of the job to get the description of.
  1702  	//
  1703  	// Authorization: requires `Viewer` role on the parent project.
  1704  	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
  1705  }
  1706  
  1707  func (x *GetJobRequest) Reset() {
  1708  	*x = GetJobRequest{}
  1709  	if protoimpl.UnsafeEnabled {
  1710  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[11]
  1711  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1712  		ms.StoreMessageInfo(mi)
  1713  	}
  1714  }
  1715  
  1716  func (x *GetJobRequest) String() string {
  1717  	return protoimpl.X.MessageStringOf(x)
  1718  }
  1719  
  1720  func (*GetJobRequest) ProtoMessage() {}
  1721  
  1722  func (x *GetJobRequest) ProtoReflect() protoreflect.Message {
  1723  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[11]
  1724  	if protoimpl.UnsafeEnabled && x != nil {
  1725  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1726  		if ms.LoadMessageInfo() == nil {
  1727  			ms.StoreMessageInfo(mi)
  1728  		}
  1729  		return ms
  1730  	}
  1731  	return mi.MessageOf(x)
  1732  }
  1733  
  1734  // Deprecated: Use GetJobRequest.ProtoReflect.Descriptor instead.
  1735  func (*GetJobRequest) Descriptor() ([]byte, []int) {
  1736  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{11}
  1737  }
  1738  
  1739  func (x *GetJobRequest) GetName() string {
  1740  	if x != nil {
  1741  		return x.Name
  1742  	}
  1743  	return ""
  1744  }
  1745  
  1746  // Request message for the CancelJob method.
  1747  type CancelJobRequest struct {
  1748  	state         protoimpl.MessageState
  1749  	sizeCache     protoimpl.SizeCache
  1750  	unknownFields protoimpl.UnknownFields
  1751  
  1752  	// Required. The name of the job to cancel.
  1753  	//
  1754  	// Authorization: requires `Editor` role on the parent project.
  1755  	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
  1756  }
  1757  
  1758  func (x *CancelJobRequest) Reset() {
  1759  	*x = CancelJobRequest{}
  1760  	if protoimpl.UnsafeEnabled {
  1761  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[12]
  1762  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1763  		ms.StoreMessageInfo(mi)
  1764  	}
  1765  }
  1766  
  1767  func (x *CancelJobRequest) String() string {
  1768  	return protoimpl.X.MessageStringOf(x)
  1769  }
  1770  
  1771  func (*CancelJobRequest) ProtoMessage() {}
  1772  
  1773  func (x *CancelJobRequest) ProtoReflect() protoreflect.Message {
  1774  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[12]
  1775  	if protoimpl.UnsafeEnabled && x != nil {
  1776  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1777  		if ms.LoadMessageInfo() == nil {
  1778  			ms.StoreMessageInfo(mi)
  1779  		}
  1780  		return ms
  1781  	}
  1782  	return mi.MessageOf(x)
  1783  }
  1784  
  1785  // Deprecated: Use CancelJobRequest.ProtoReflect.Descriptor instead.
  1786  func (*CancelJobRequest) Descriptor() ([]byte, []int) {
  1787  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{12}
  1788  }
  1789  
  1790  func (x *CancelJobRequest) GetName() string {
  1791  	if x != nil {
  1792  		return x.Name
  1793  	}
  1794  	return ""
  1795  }
  1796  
  1797  // An observed value of a metric.
  1798  type HyperparameterOutput_HyperparameterMetric struct {
  1799  	state         protoimpl.MessageState
  1800  	sizeCache     protoimpl.SizeCache
  1801  	unknownFields protoimpl.UnknownFields
  1802  
  1803  	// The global training step for this metric.
  1804  	TrainingStep int64 `protobuf:"varint,1,opt,name=training_step,json=trainingStep,proto3" json:"training_step,omitempty"`
  1805  	// The objective value at this training step.
  1806  	ObjectiveValue float64 `protobuf:"fixed64,2,opt,name=objective_value,json=objectiveValue,proto3" json:"objective_value,omitempty"`
  1807  }
  1808  
  1809  func (x *HyperparameterOutput_HyperparameterMetric) Reset() {
  1810  	*x = HyperparameterOutput_HyperparameterMetric{}
  1811  	if protoimpl.UnsafeEnabled {
  1812  		mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[13]
  1813  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1814  		ms.StoreMessageInfo(mi)
  1815  	}
  1816  }
  1817  
  1818  func (x *HyperparameterOutput_HyperparameterMetric) String() string {
  1819  	return protoimpl.X.MessageStringOf(x)
  1820  }
  1821  
  1822  func (*HyperparameterOutput_HyperparameterMetric) ProtoMessage() {}
  1823  
  1824  func (x *HyperparameterOutput_HyperparameterMetric) ProtoReflect() protoreflect.Message {
  1825  	mi := &file_google_cloud_ml_v1_job_service_proto_msgTypes[13]
  1826  	if protoimpl.UnsafeEnabled && x != nil {
  1827  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  1828  		if ms.LoadMessageInfo() == nil {
  1829  			ms.StoreMessageInfo(mi)
  1830  		}
  1831  		return ms
  1832  	}
  1833  	return mi.MessageOf(x)
  1834  }
  1835  
  1836  // Deprecated: Use HyperparameterOutput_HyperparameterMetric.ProtoReflect.Descriptor instead.
  1837  func (*HyperparameterOutput_HyperparameterMetric) Descriptor() ([]byte, []int) {
  1838  	return file_google_cloud_ml_v1_job_service_proto_rawDescGZIP(), []int{3, 0}
  1839  }
  1840  
  1841  func (x *HyperparameterOutput_HyperparameterMetric) GetTrainingStep() int64 {
  1842  	if x != nil {
  1843  		return x.TrainingStep
  1844  	}
  1845  	return 0
  1846  }
  1847  
  1848  func (x *HyperparameterOutput_HyperparameterMetric) GetObjectiveValue() float64 {
  1849  	if x != nil {
  1850  		return x.ObjectiveValue
  1851  	}
  1852  	return 0
  1853  }
  1854  
  1855  var File_google_cloud_ml_v1_job_service_proto protoreflect.FileDescriptor
  1856  
  1857  var file_google_cloud_ml_v1_job_service_proto_rawDesc = []byte{
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  2164  }
  2165  
  2166  var (
  2167  	file_google_cloud_ml_v1_job_service_proto_rawDescOnce sync.Once
  2168  	file_google_cloud_ml_v1_job_service_proto_rawDescData = file_google_cloud_ml_v1_job_service_proto_rawDesc
  2169  )
  2170  
  2171  func file_google_cloud_ml_v1_job_service_proto_rawDescGZIP() []byte {
  2172  	file_google_cloud_ml_v1_job_service_proto_rawDescOnce.Do(func() {
  2173  		file_google_cloud_ml_v1_job_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_ml_v1_job_service_proto_rawDescData)
  2174  	})
  2175  	return file_google_cloud_ml_v1_job_service_proto_rawDescData
  2176  }
  2177  
  2178  var file_google_cloud_ml_v1_job_service_proto_enumTypes = make([]protoimpl.EnumInfo, 6)
  2179  var file_google_cloud_ml_v1_job_service_proto_msgTypes = make([]protoimpl.MessageInfo, 15)
  2180  var file_google_cloud_ml_v1_job_service_proto_goTypes = []interface{}{
  2181  	(TrainingInput_ScaleTier)(0),                      // 0: google.cloud.ml.v1.TrainingInput.ScaleTier
  2182  	(HyperparameterSpec_GoalType)(0),                  // 1: google.cloud.ml.v1.HyperparameterSpec.GoalType
  2183  	(ParameterSpec_ParameterType)(0),                  // 2: google.cloud.ml.v1.ParameterSpec.ParameterType
  2184  	(ParameterSpec_ScaleType)(0),                      // 3: google.cloud.ml.v1.ParameterSpec.ScaleType
  2185  	(PredictionInput_DataFormat)(0),                   // 4: google.cloud.ml.v1.PredictionInput.DataFormat
  2186  	(Job_State)(0),                                    // 5: google.cloud.ml.v1.Job.State
  2187  	(*TrainingInput)(nil),                             // 6: google.cloud.ml.v1.TrainingInput
  2188  	(*HyperparameterSpec)(nil),                        // 7: google.cloud.ml.v1.HyperparameterSpec
  2189  	(*ParameterSpec)(nil),                             // 8: google.cloud.ml.v1.ParameterSpec
  2190  	(*HyperparameterOutput)(nil),                      // 9: google.cloud.ml.v1.HyperparameterOutput
  2191  	(*TrainingOutput)(nil),                            // 10: google.cloud.ml.v1.TrainingOutput
  2192  	(*PredictionInput)(nil),                           // 11: google.cloud.ml.v1.PredictionInput
  2193  	(*PredictionOutput)(nil),                          // 12: google.cloud.ml.v1.PredictionOutput
  2194  	(*Job)(nil),                                       // 13: google.cloud.ml.v1.Job
  2195  	(*CreateJobRequest)(nil),                          // 14: google.cloud.ml.v1.CreateJobRequest
  2196  	(*ListJobsRequest)(nil),                           // 15: google.cloud.ml.v1.ListJobsRequest
  2197  	(*ListJobsResponse)(nil),                          // 16: google.cloud.ml.v1.ListJobsResponse
  2198  	(*GetJobRequest)(nil),                             // 17: google.cloud.ml.v1.GetJobRequest
  2199  	(*CancelJobRequest)(nil),                          // 18: google.cloud.ml.v1.CancelJobRequest
  2200  	(*HyperparameterOutput_HyperparameterMetric)(nil), // 19: google.cloud.ml.v1.HyperparameterOutput.HyperparameterMetric
  2201  	nil,                           // 20: google.cloud.ml.v1.HyperparameterOutput.HyperparametersEntry
  2202  	(*timestamppb.Timestamp)(nil), // 21: google.protobuf.Timestamp
  2203  	(*emptypb.Empty)(nil),         // 22: google.protobuf.Empty
  2204  }
  2205  var file_google_cloud_ml_v1_job_service_proto_depIdxs = []int32{
  2206  	0,  // 0: google.cloud.ml.v1.TrainingInput.scale_tier:type_name -> google.cloud.ml.v1.TrainingInput.ScaleTier
  2207  	7,  // 1: google.cloud.ml.v1.TrainingInput.hyperparameters:type_name -> google.cloud.ml.v1.HyperparameterSpec
  2208  	1,  // 2: google.cloud.ml.v1.HyperparameterSpec.goal:type_name -> google.cloud.ml.v1.HyperparameterSpec.GoalType
  2209  	8,  // 3: google.cloud.ml.v1.HyperparameterSpec.params:type_name -> google.cloud.ml.v1.ParameterSpec
  2210  	2,  // 4: google.cloud.ml.v1.ParameterSpec.type:type_name -> google.cloud.ml.v1.ParameterSpec.ParameterType
  2211  	3,  // 5: google.cloud.ml.v1.ParameterSpec.scale_type:type_name -> google.cloud.ml.v1.ParameterSpec.ScaleType
  2212  	20, // 6: google.cloud.ml.v1.HyperparameterOutput.hyperparameters:type_name -> google.cloud.ml.v1.HyperparameterOutput.HyperparametersEntry
  2213  	19, // 7: google.cloud.ml.v1.HyperparameterOutput.final_metric:type_name -> google.cloud.ml.v1.HyperparameterOutput.HyperparameterMetric
  2214  	19, // 8: google.cloud.ml.v1.HyperparameterOutput.all_metrics:type_name -> google.cloud.ml.v1.HyperparameterOutput.HyperparameterMetric
  2215  	9,  // 9: google.cloud.ml.v1.TrainingOutput.trials:type_name -> google.cloud.ml.v1.HyperparameterOutput
  2216  	4,  // 10: google.cloud.ml.v1.PredictionInput.data_format:type_name -> google.cloud.ml.v1.PredictionInput.DataFormat
  2217  	6,  // 11: google.cloud.ml.v1.Job.training_input:type_name -> google.cloud.ml.v1.TrainingInput
  2218  	11, // 12: google.cloud.ml.v1.Job.prediction_input:type_name -> google.cloud.ml.v1.PredictionInput
  2219  	21, // 13: google.cloud.ml.v1.Job.create_time:type_name -> google.protobuf.Timestamp
  2220  	21, // 14: google.cloud.ml.v1.Job.start_time:type_name -> google.protobuf.Timestamp
  2221  	21, // 15: google.cloud.ml.v1.Job.end_time:type_name -> google.protobuf.Timestamp
  2222  	5,  // 16: google.cloud.ml.v1.Job.state:type_name -> google.cloud.ml.v1.Job.State
  2223  	10, // 17: google.cloud.ml.v1.Job.training_output:type_name -> google.cloud.ml.v1.TrainingOutput
  2224  	12, // 18: google.cloud.ml.v1.Job.prediction_output:type_name -> google.cloud.ml.v1.PredictionOutput
  2225  	13, // 19: google.cloud.ml.v1.CreateJobRequest.job:type_name -> google.cloud.ml.v1.Job
  2226  	13, // 20: google.cloud.ml.v1.ListJobsResponse.jobs:type_name -> google.cloud.ml.v1.Job
  2227  	14, // 21: google.cloud.ml.v1.JobService.CreateJob:input_type -> google.cloud.ml.v1.CreateJobRequest
  2228  	15, // 22: google.cloud.ml.v1.JobService.ListJobs:input_type -> google.cloud.ml.v1.ListJobsRequest
  2229  	17, // 23: google.cloud.ml.v1.JobService.GetJob:input_type -> google.cloud.ml.v1.GetJobRequest
  2230  	18, // 24: google.cloud.ml.v1.JobService.CancelJob:input_type -> google.cloud.ml.v1.CancelJobRequest
  2231  	13, // 25: google.cloud.ml.v1.JobService.CreateJob:output_type -> google.cloud.ml.v1.Job
  2232  	16, // 26: google.cloud.ml.v1.JobService.ListJobs:output_type -> google.cloud.ml.v1.ListJobsResponse
  2233  	13, // 27: google.cloud.ml.v1.JobService.GetJob:output_type -> google.cloud.ml.v1.Job
  2234  	22, // 28: google.cloud.ml.v1.JobService.CancelJob:output_type -> google.protobuf.Empty
  2235  	25, // [25:29] is the sub-list for method output_type
  2236  	21, // [21:25] is the sub-list for method input_type
  2237  	21, // [21:21] is the sub-list for extension type_name
  2238  	21, // [21:21] is the sub-list for extension extendee
  2239  	0,  // [0:21] is the sub-list for field type_name
  2240  }
  2241  
  2242  func init() { file_google_cloud_ml_v1_job_service_proto_init() }
  2243  func file_google_cloud_ml_v1_job_service_proto_init() {
  2244  	if File_google_cloud_ml_v1_job_service_proto != nil {
  2245  		return
  2246  	}
  2247  	if !protoimpl.UnsafeEnabled {
  2248  		file_google_cloud_ml_v1_job_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
  2249  			switch v := v.(*TrainingInput); i {
  2250  			case 0:
  2251  				return &v.state
  2252  			case 1:
  2253  				return &v.sizeCache
  2254  			case 2:
  2255  				return &v.unknownFields
  2256  			default:
  2257  				return nil
  2258  			}
  2259  		}
  2260  		file_google_cloud_ml_v1_job_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
  2261  			switch v := v.(*HyperparameterSpec); i {
  2262  			case 0:
  2263  				return &v.state
  2264  			case 1:
  2265  				return &v.sizeCache
  2266  			case 2:
  2267  				return &v.unknownFields
  2268  			default:
  2269  				return nil
  2270  			}
  2271  		}
  2272  		file_google_cloud_ml_v1_job_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
  2273  			switch v := v.(*ParameterSpec); i {
  2274  			case 0:
  2275  				return &v.state
  2276  			case 1:
  2277  				return &v.sizeCache
  2278  			case 2:
  2279  				return &v.unknownFields
  2280  			default:
  2281  				return nil
  2282  			}
  2283  		}
  2284  		file_google_cloud_ml_v1_job_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
  2285  			switch v := v.(*HyperparameterOutput); i {
  2286  			case 0:
  2287  				return &v.state
  2288  			case 1:
  2289  				return &v.sizeCache
  2290  			case 2:
  2291  				return &v.unknownFields
  2292  			default:
  2293  				return nil
  2294  			}
  2295  		}
  2296  		file_google_cloud_ml_v1_job_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
  2297  			switch v := v.(*TrainingOutput); i {
  2298  			case 0:
  2299  				return &v.state
  2300  			case 1:
  2301  				return &v.sizeCache
  2302  			case 2:
  2303  				return &v.unknownFields
  2304  			default:
  2305  				return nil
  2306  			}
  2307  		}
  2308  		file_google_cloud_ml_v1_job_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
  2309  			switch v := v.(*PredictionInput); i {
  2310  			case 0:
  2311  				return &v.state
  2312  			case 1:
  2313  				return &v.sizeCache
  2314  			case 2:
  2315  				return &v.unknownFields
  2316  			default:
  2317  				return nil
  2318  			}
  2319  		}
  2320  		file_google_cloud_ml_v1_job_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
  2321  			switch v := v.(*PredictionOutput); i {
  2322  			case 0:
  2323  				return &v.state
  2324  			case 1:
  2325  				return &v.sizeCache
  2326  			case 2:
  2327  				return &v.unknownFields
  2328  			default:
  2329  				return nil
  2330  			}
  2331  		}
  2332  		file_google_cloud_ml_v1_job_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
  2333  			switch v := v.(*Job); i {
  2334  			case 0:
  2335  				return &v.state
  2336  			case 1:
  2337  				return &v.sizeCache
  2338  			case 2:
  2339  				return &v.unknownFields
  2340  			default:
  2341  				return nil
  2342  			}
  2343  		}
  2344  		file_google_cloud_ml_v1_job_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
  2345  			switch v := v.(*CreateJobRequest); i {
  2346  			case 0:
  2347  				return &v.state
  2348  			case 1:
  2349  				return &v.sizeCache
  2350  			case 2:
  2351  				return &v.unknownFields
  2352  			default:
  2353  				return nil
  2354  			}
  2355  		}
  2356  		file_google_cloud_ml_v1_job_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
  2357  			switch v := v.(*ListJobsRequest); i {
  2358  			case 0:
  2359  				return &v.state
  2360  			case 1:
  2361  				return &v.sizeCache
  2362  			case 2:
  2363  				return &v.unknownFields
  2364  			default:
  2365  				return nil
  2366  			}
  2367  		}
  2368  		file_google_cloud_ml_v1_job_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
  2369  			switch v := v.(*ListJobsResponse); i {
  2370  			case 0:
  2371  				return &v.state
  2372  			case 1:
  2373  				return &v.sizeCache
  2374  			case 2:
  2375  				return &v.unknownFields
  2376  			default:
  2377  				return nil
  2378  			}
  2379  		}
  2380  		file_google_cloud_ml_v1_job_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
  2381  			switch v := v.(*GetJobRequest); i {
  2382  			case 0:
  2383  				return &v.state
  2384  			case 1:
  2385  				return &v.sizeCache
  2386  			case 2:
  2387  				return &v.unknownFields
  2388  			default:
  2389  				return nil
  2390  			}
  2391  		}
  2392  		file_google_cloud_ml_v1_job_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
  2393  			switch v := v.(*CancelJobRequest); i {
  2394  			case 0:
  2395  				return &v.state
  2396  			case 1:
  2397  				return &v.sizeCache
  2398  			case 2:
  2399  				return &v.unknownFields
  2400  			default:
  2401  				return nil
  2402  			}
  2403  		}
  2404  		file_google_cloud_ml_v1_job_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
  2405  			switch v := v.(*HyperparameterOutput_HyperparameterMetric); i {
  2406  			case 0:
  2407  				return &v.state
  2408  			case 1:
  2409  				return &v.sizeCache
  2410  			case 2:
  2411  				return &v.unknownFields
  2412  			default:
  2413  				return nil
  2414  			}
  2415  		}
  2416  	}
  2417  	file_google_cloud_ml_v1_job_service_proto_msgTypes[5].OneofWrappers = []interface{}{
  2418  		(*PredictionInput_ModelName)(nil),
  2419  		(*PredictionInput_VersionName)(nil),
  2420  		(*PredictionInput_Uri)(nil),
  2421  	}
  2422  	file_google_cloud_ml_v1_job_service_proto_msgTypes[7].OneofWrappers = []interface{}{
  2423  		(*Job_TrainingInput)(nil),
  2424  		(*Job_PredictionInput)(nil),
  2425  		(*Job_TrainingOutput)(nil),
  2426  		(*Job_PredictionOutput)(nil),
  2427  	}
  2428  	type x struct{}
  2429  	out := protoimpl.TypeBuilder{
  2430  		File: protoimpl.DescBuilder{
  2431  			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
  2432  			RawDescriptor: file_google_cloud_ml_v1_job_service_proto_rawDesc,
  2433  			NumEnums:      6,
  2434  			NumMessages:   15,
  2435  			NumExtensions: 0,
  2436  			NumServices:   1,
  2437  		},
  2438  		GoTypes:           file_google_cloud_ml_v1_job_service_proto_goTypes,
  2439  		DependencyIndexes: file_google_cloud_ml_v1_job_service_proto_depIdxs,
  2440  		EnumInfos:         file_google_cloud_ml_v1_job_service_proto_enumTypes,
  2441  		MessageInfos:      file_google_cloud_ml_v1_job_service_proto_msgTypes,
  2442  	}.Build()
  2443  	File_google_cloud_ml_v1_job_service_proto = out.File
  2444  	file_google_cloud_ml_v1_job_service_proto_rawDesc = nil
  2445  	file_google_cloud_ml_v1_job_service_proto_goTypes = nil
  2446  	file_google_cloud_ml_v1_job_service_proto_depIdxs = nil
  2447  }
  2448  
  2449  // Reference imports to suppress errors if they are not otherwise used.
  2450  var _ context.Context
  2451  var _ grpc.ClientConnInterface
  2452  
  2453  // This is a compile-time assertion to ensure that this generated file
  2454  // is compatible with the grpc package it is being compiled against.
  2455  const _ = grpc.SupportPackageIsVersion6
  2456  
  2457  // JobServiceClient is the client API for JobService service.
  2458  //
  2459  // For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
  2460  type JobServiceClient interface {
  2461  	// Creates a training or a batch prediction job.
  2462  	CreateJob(ctx context.Context, in *CreateJobRequest, opts ...grpc.CallOption) (*Job, error)
  2463  	// Lists the jobs in the project.
  2464  	ListJobs(ctx context.Context, in *ListJobsRequest, opts ...grpc.CallOption) (*ListJobsResponse, error)
  2465  	// Describes a job.
  2466  	GetJob(ctx context.Context, in *GetJobRequest, opts ...grpc.CallOption) (*Job, error)
  2467  	// Cancels a running job.
  2468  	CancelJob(ctx context.Context, in *CancelJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
  2469  }
  2470  
  2471  type jobServiceClient struct {
  2472  	cc grpc.ClientConnInterface
  2473  }
  2474  
  2475  func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient {
  2476  	return &jobServiceClient{cc}
  2477  }
  2478  
  2479  func (c *jobServiceClient) CreateJob(ctx context.Context, in *CreateJobRequest, opts ...grpc.CallOption) (*Job, error) {
  2480  	out := new(Job)
  2481  	err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/CreateJob", in, out, opts...)
  2482  	if err != nil {
  2483  		return nil, err
  2484  	}
  2485  	return out, nil
  2486  }
  2487  
  2488  func (c *jobServiceClient) ListJobs(ctx context.Context, in *ListJobsRequest, opts ...grpc.CallOption) (*ListJobsResponse, error) {
  2489  	out := new(ListJobsResponse)
  2490  	err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/ListJobs", in, out, opts...)
  2491  	if err != nil {
  2492  		return nil, err
  2493  	}
  2494  	return out, nil
  2495  }
  2496  
  2497  func (c *jobServiceClient) GetJob(ctx context.Context, in *GetJobRequest, opts ...grpc.CallOption) (*Job, error) {
  2498  	out := new(Job)
  2499  	err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/GetJob", in, out, opts...)
  2500  	if err != nil {
  2501  		return nil, err
  2502  	}
  2503  	return out, nil
  2504  }
  2505  
  2506  func (c *jobServiceClient) CancelJob(ctx context.Context, in *CancelJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error) {
  2507  	out := new(emptypb.Empty)
  2508  	err := c.cc.Invoke(ctx, "/google.cloud.ml.v1.JobService/CancelJob", in, out, opts...)
  2509  	if err != nil {
  2510  		return nil, err
  2511  	}
  2512  	return out, nil
  2513  }
  2514  
  2515  // JobServiceServer is the server API for JobService service.
  2516  type JobServiceServer interface {
  2517  	// Creates a training or a batch prediction job.
  2518  	CreateJob(context.Context, *CreateJobRequest) (*Job, error)
  2519  	// Lists the jobs in the project.
  2520  	ListJobs(context.Context, *ListJobsRequest) (*ListJobsResponse, error)
  2521  	// Describes a job.
  2522  	GetJob(context.Context, *GetJobRequest) (*Job, error)
  2523  	// Cancels a running job.
  2524  	CancelJob(context.Context, *CancelJobRequest) (*emptypb.Empty, error)
  2525  }
  2526  
  2527  // UnimplementedJobServiceServer can be embedded to have forward compatible implementations.
  2528  type UnimplementedJobServiceServer struct {
  2529  }
  2530  
  2531  func (*UnimplementedJobServiceServer) CreateJob(context.Context, *CreateJobRequest) (*Job, error) {
  2532  	return nil, status.Errorf(codes.Unimplemented, "method CreateJob not implemented")
  2533  }
  2534  func (*UnimplementedJobServiceServer) ListJobs(context.Context, *ListJobsRequest) (*ListJobsResponse, error) {
  2535  	return nil, status.Errorf(codes.Unimplemented, "method ListJobs not implemented")
  2536  }
  2537  func (*UnimplementedJobServiceServer) GetJob(context.Context, *GetJobRequest) (*Job, error) {
  2538  	return nil, status.Errorf(codes.Unimplemented, "method GetJob not implemented")
  2539  }
  2540  func (*UnimplementedJobServiceServer) CancelJob(context.Context, *CancelJobRequest) (*emptypb.Empty, error) {
  2541  	return nil, status.Errorf(codes.Unimplemented, "method CancelJob not implemented")
  2542  }
  2543  
  2544  func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer) {
  2545  	s.RegisterService(&_JobService_serviceDesc, srv)
  2546  }
  2547  
  2548  func _JobService_CreateJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
  2549  	in := new(CreateJobRequest)
  2550  	if err := dec(in); err != nil {
  2551  		return nil, err
  2552  	}
  2553  	if interceptor == nil {
  2554  		return srv.(JobServiceServer).CreateJob(ctx, in)
  2555  	}
  2556  	info := &grpc.UnaryServerInfo{
  2557  		Server:     srv,
  2558  		FullMethod: "/google.cloud.ml.v1.JobService/CreateJob",
  2559  	}
  2560  	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
  2561  		return srv.(JobServiceServer).CreateJob(ctx, req.(*CreateJobRequest))
  2562  	}
  2563  	return interceptor(ctx, in, info, handler)
  2564  }
  2565  
  2566  func _JobService_ListJobs_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
  2567  	in := new(ListJobsRequest)
  2568  	if err := dec(in); err != nil {
  2569  		return nil, err
  2570  	}
  2571  	if interceptor == nil {
  2572  		return srv.(JobServiceServer).ListJobs(ctx, in)
  2573  	}
  2574  	info := &grpc.UnaryServerInfo{
  2575  		Server:     srv,
  2576  		FullMethod: "/google.cloud.ml.v1.JobService/ListJobs",
  2577  	}
  2578  	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
  2579  		return srv.(JobServiceServer).ListJobs(ctx, req.(*ListJobsRequest))
  2580  	}
  2581  	return interceptor(ctx, in, info, handler)
  2582  }
  2583  
  2584  func _JobService_GetJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
  2585  	in := new(GetJobRequest)
  2586  	if err := dec(in); err != nil {
  2587  		return nil, err
  2588  	}
  2589  	if interceptor == nil {
  2590  		return srv.(JobServiceServer).GetJob(ctx, in)
  2591  	}
  2592  	info := &grpc.UnaryServerInfo{
  2593  		Server:     srv,
  2594  		FullMethod: "/google.cloud.ml.v1.JobService/GetJob",
  2595  	}
  2596  	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
  2597  		return srv.(JobServiceServer).GetJob(ctx, req.(*GetJobRequest))
  2598  	}
  2599  	return interceptor(ctx, in, info, handler)
  2600  }
  2601  
  2602  func _JobService_CancelJob_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
  2603  	in := new(CancelJobRequest)
  2604  	if err := dec(in); err != nil {
  2605  		return nil, err
  2606  	}
  2607  	if interceptor == nil {
  2608  		return srv.(JobServiceServer).CancelJob(ctx, in)
  2609  	}
  2610  	info := &grpc.UnaryServerInfo{
  2611  		Server:     srv,
  2612  		FullMethod: "/google.cloud.ml.v1.JobService/CancelJob",
  2613  	}
  2614  	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
  2615  		return srv.(JobServiceServer).CancelJob(ctx, req.(*CancelJobRequest))
  2616  	}
  2617  	return interceptor(ctx, in, info, handler)
  2618  }
  2619  
  2620  var _JobService_serviceDesc = grpc.ServiceDesc{
  2621  	ServiceName: "google.cloud.ml.v1.JobService",
  2622  	HandlerType: (*JobServiceServer)(nil),
  2623  	Methods: []grpc.MethodDesc{
  2624  		{
  2625  			MethodName: "CreateJob",
  2626  			Handler:    _JobService_CreateJob_Handler,
  2627  		},
  2628  		{
  2629  			MethodName: "ListJobs",
  2630  			Handler:    _JobService_ListJobs_Handler,
  2631  		},
  2632  		{
  2633  			MethodName: "GetJob",
  2634  			Handler:    _JobService_GetJob_Handler,
  2635  		},
  2636  		{
  2637  			MethodName: "CancelJob",
  2638  			Handler:    _JobService_CancelJob_Handler,
  2639  		},
  2640  	},
  2641  	Streams:  []grpc.StreamDesc{},
  2642  	Metadata: "google/cloud/ml/v1/job_service.proto",
  2643  }
  2644  

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