| // Copyright 2022 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.26.0 |
| // protoc v3.12.2 |
| // source: google/cloud/notebooks/v1/execution.proto |
| |
| package notebookspb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| timestamp "github.com/golang/protobuf/ptypes/timestamp" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // Required. Specifies the machine types, the number of replicas for workers |
| // and parameter servers. |
| type ExecutionTemplate_ScaleTier int32 |
| |
| const ( |
| // Unspecified Scale Tier. |
| ExecutionTemplate_SCALE_TIER_UNSPECIFIED ExecutionTemplate_ScaleTier = 0 |
| // A single worker instance. This tier is suitable for learning how to use |
| // Cloud ML, and for experimenting with new models using small datasets. |
| ExecutionTemplate_BASIC ExecutionTemplate_ScaleTier = 1 |
| // Many workers and a few parameter servers. |
| ExecutionTemplate_STANDARD_1 ExecutionTemplate_ScaleTier = 2 |
| // A large number of workers with many parameter servers. |
| ExecutionTemplate_PREMIUM_1 ExecutionTemplate_ScaleTier = 3 |
| // A single worker instance with a K80 GPU. |
| ExecutionTemplate_BASIC_GPU ExecutionTemplate_ScaleTier = 4 |
| // A single worker instance with a Cloud TPU. |
| ExecutionTemplate_BASIC_TPU ExecutionTemplate_ScaleTier = 5 |
| // The CUSTOM tier is not a set tier, but rather enables you to use your |
| // own cluster specification. When you use this tier, set values to |
| // configure your processing cluster according to these guidelines: |
| // |
| // - You _must_ set `ExecutionTemplate.masterType` to specify the type |
| // of machine to use for your master node. This is the only required |
| // setting. |
| ExecutionTemplate_CUSTOM ExecutionTemplate_ScaleTier = 6 |
| ) |
| |
| // Enum value maps for ExecutionTemplate_ScaleTier. |
| var ( |
| ExecutionTemplate_ScaleTier_name = map[int32]string{ |
| 0: "SCALE_TIER_UNSPECIFIED", |
| 1: "BASIC", |
| 2: "STANDARD_1", |
| 3: "PREMIUM_1", |
| 4: "BASIC_GPU", |
| 5: "BASIC_TPU", |
| 6: "CUSTOM", |
| } |
| ExecutionTemplate_ScaleTier_value = map[string]int32{ |
| "SCALE_TIER_UNSPECIFIED": 0, |
| "BASIC": 1, |
| "STANDARD_1": 2, |
| "PREMIUM_1": 3, |
| "BASIC_GPU": 4, |
| "BASIC_TPU": 5, |
| "CUSTOM": 6, |
| } |
| ) |
| |
| func (x ExecutionTemplate_ScaleTier) Enum() *ExecutionTemplate_ScaleTier { |
| p := new(ExecutionTemplate_ScaleTier) |
| *p = x |
| return p |
| } |
| |
| func (x ExecutionTemplate_ScaleTier) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ExecutionTemplate_ScaleTier) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_notebooks_v1_execution_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (ExecutionTemplate_ScaleTier) Type() protoreflect.EnumType { |
| return &file_google_cloud_notebooks_v1_execution_proto_enumTypes[0] |
| } |
| |
| func (x ExecutionTemplate_ScaleTier) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_ScaleTier.Descriptor instead. |
| func (ExecutionTemplate_ScaleTier) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| // Hardware accelerator types for AI Platform Training jobs. |
| type ExecutionTemplate_SchedulerAcceleratorType int32 |
| |
| const ( |
| // Unspecified accelerator type. Default to no GPU. |
| ExecutionTemplate_SCHEDULER_ACCELERATOR_TYPE_UNSPECIFIED ExecutionTemplate_SchedulerAcceleratorType = 0 |
| // Nvidia Tesla K80 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_K80 ExecutionTemplate_SchedulerAcceleratorType = 1 |
| // Nvidia Tesla P100 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_P100 ExecutionTemplate_SchedulerAcceleratorType = 2 |
| // Nvidia Tesla V100 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_V100 ExecutionTemplate_SchedulerAcceleratorType = 3 |
| // Nvidia Tesla P4 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_P4 ExecutionTemplate_SchedulerAcceleratorType = 4 |
| // Nvidia Tesla T4 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_T4 ExecutionTemplate_SchedulerAcceleratorType = 5 |
| // Nvidia Tesla A100 GPU. |
| ExecutionTemplate_NVIDIA_TESLA_A100 ExecutionTemplate_SchedulerAcceleratorType = 10 |
| // TPU v2. |
| ExecutionTemplate_TPU_V2 ExecutionTemplate_SchedulerAcceleratorType = 6 |
| // TPU v3. |
| ExecutionTemplate_TPU_V3 ExecutionTemplate_SchedulerAcceleratorType = 7 |
| ) |
| |
| // Enum value maps for ExecutionTemplate_SchedulerAcceleratorType. |
| var ( |
| ExecutionTemplate_SchedulerAcceleratorType_name = map[int32]string{ |
| 0: "SCHEDULER_ACCELERATOR_TYPE_UNSPECIFIED", |
| 1: "NVIDIA_TESLA_K80", |
| 2: "NVIDIA_TESLA_P100", |
| 3: "NVIDIA_TESLA_V100", |
| 4: "NVIDIA_TESLA_P4", |
| 5: "NVIDIA_TESLA_T4", |
| 10: "NVIDIA_TESLA_A100", |
| 6: "TPU_V2", |
| 7: "TPU_V3", |
| } |
| ExecutionTemplate_SchedulerAcceleratorType_value = map[string]int32{ |
| "SCHEDULER_ACCELERATOR_TYPE_UNSPECIFIED": 0, |
| "NVIDIA_TESLA_K80": 1, |
| "NVIDIA_TESLA_P100": 2, |
| "NVIDIA_TESLA_V100": 3, |
| "NVIDIA_TESLA_P4": 4, |
| "NVIDIA_TESLA_T4": 5, |
| "NVIDIA_TESLA_A100": 10, |
| "TPU_V2": 6, |
| "TPU_V3": 7, |
| } |
| ) |
| |
| func (x ExecutionTemplate_SchedulerAcceleratorType) Enum() *ExecutionTemplate_SchedulerAcceleratorType { |
| p := new(ExecutionTemplate_SchedulerAcceleratorType) |
| *p = x |
| return p |
| } |
| |
| func (x ExecutionTemplate_SchedulerAcceleratorType) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ExecutionTemplate_SchedulerAcceleratorType) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_notebooks_v1_execution_proto_enumTypes[1].Descriptor() |
| } |
| |
| func (ExecutionTemplate_SchedulerAcceleratorType) Type() protoreflect.EnumType { |
| return &file_google_cloud_notebooks_v1_execution_proto_enumTypes[1] |
| } |
| |
| func (x ExecutionTemplate_SchedulerAcceleratorType) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_SchedulerAcceleratorType.Descriptor instead. |
| func (ExecutionTemplate_SchedulerAcceleratorType) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 1} |
| } |
| |
| // The backend used for this execution. |
| type ExecutionTemplate_JobType int32 |
| |
| const ( |
| // No type specified. |
| ExecutionTemplate_JOB_TYPE_UNSPECIFIED ExecutionTemplate_JobType = 0 |
| // Custom Job in `aiplatform.googleapis.com`. |
| // Default value for an execution. |
| ExecutionTemplate_VERTEX_AI ExecutionTemplate_JobType = 1 |
| // Run execution on a cluster with Dataproc as a job. |
| // https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.jobs |
| ExecutionTemplate_DATAPROC ExecutionTemplate_JobType = 2 |
| ) |
| |
| // Enum value maps for ExecutionTemplate_JobType. |
| var ( |
| ExecutionTemplate_JobType_name = map[int32]string{ |
| 0: "JOB_TYPE_UNSPECIFIED", |
| 1: "VERTEX_AI", |
| 2: "DATAPROC", |
| } |
| ExecutionTemplate_JobType_value = map[string]int32{ |
| "JOB_TYPE_UNSPECIFIED": 0, |
| "VERTEX_AI": 1, |
| "DATAPROC": 2, |
| } |
| ) |
| |
| func (x ExecutionTemplate_JobType) Enum() *ExecutionTemplate_JobType { |
| p := new(ExecutionTemplate_JobType) |
| *p = x |
| return p |
| } |
| |
| func (x ExecutionTemplate_JobType) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (ExecutionTemplate_JobType) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_notebooks_v1_execution_proto_enumTypes[2].Descriptor() |
| } |
| |
| func (ExecutionTemplate_JobType) Type() protoreflect.EnumType { |
| return &file_google_cloud_notebooks_v1_execution_proto_enumTypes[2] |
| } |
| |
| func (x ExecutionTemplate_JobType) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_JobType.Descriptor instead. |
| func (ExecutionTemplate_JobType) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 2} |
| } |
| |
| // Enum description of the state of the underlying AIP job. |
| type Execution_State int32 |
| |
| const ( |
| // The job state is unspecified. |
| Execution_STATE_UNSPECIFIED Execution_State = 0 |
| // The job has been just created and processing has not yet begun. |
| Execution_QUEUED Execution_State = 1 |
| // The service is preparing to execution the job. |
| Execution_PREPARING Execution_State = 2 |
| // The job is in progress. |
| Execution_RUNNING Execution_State = 3 |
| // The job completed successfully. |
| Execution_SUCCEEDED Execution_State = 4 |
| // The job failed. |
| // `error_message` should contain the details of the failure. |
| Execution_FAILED Execution_State = 5 |
| // The job is being cancelled. |
| // `error_message` should describe the reason for the cancellation. |
| Execution_CANCELLING Execution_State = 6 |
| // The job has been cancelled. |
| // `error_message` should describe the reason for the cancellation. |
| Execution_CANCELLED Execution_State = 7 |
| // The job has become expired (relevant to Vertex AI jobs) |
| // https://cloud.google.com/vertex-ai/docs/reference/rest/v1/JobState |
| Execution_EXPIRED Execution_State = 9 |
| // The Execution is being created. |
| Execution_INITIALIZING Execution_State = 10 |
| ) |
| |
| // Enum value maps for Execution_State. |
| var ( |
| Execution_State_name = map[int32]string{ |
| 0: "STATE_UNSPECIFIED", |
| 1: "QUEUED", |
| 2: "PREPARING", |
| 3: "RUNNING", |
| 4: "SUCCEEDED", |
| 5: "FAILED", |
| 6: "CANCELLING", |
| 7: "CANCELLED", |
| 9: "EXPIRED", |
| 10: "INITIALIZING", |
| } |
| Execution_State_value = map[string]int32{ |
| "STATE_UNSPECIFIED": 0, |
| "QUEUED": 1, |
| "PREPARING": 2, |
| "RUNNING": 3, |
| "SUCCEEDED": 4, |
| "FAILED": 5, |
| "CANCELLING": 6, |
| "CANCELLED": 7, |
| "EXPIRED": 9, |
| "INITIALIZING": 10, |
| } |
| ) |
| |
| func (x Execution_State) Enum() *Execution_State { |
| p := new(Execution_State) |
| *p = x |
| return p |
| } |
| |
| func (x Execution_State) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (Execution_State) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_notebooks_v1_execution_proto_enumTypes[3].Descriptor() |
| } |
| |
| func (Execution_State) Type() protoreflect.EnumType { |
| return &file_google_cloud_notebooks_v1_execution_proto_enumTypes[3] |
| } |
| |
| func (x Execution_State) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use Execution_State.Descriptor instead. |
| func (Execution_State) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{1, 0} |
| } |
| |
| // The description a notebook execution workload. |
| type ExecutionTemplate struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Required. Scale tier of the hardware used for notebook execution. |
| // DEPRECATED Will be discontinued. As right now only CUSTOM is supported. |
| // |
| // Deprecated: Do not use. |
| ScaleTier ExecutionTemplate_ScaleTier `protobuf:"varint,1,opt,name=scale_tier,json=scaleTier,proto3,enum=google.cloud.notebooks.v1.ExecutionTemplate_ScaleTier" json:"scale_tier,omitempty"` |
| // Specifies the type of virtual machine to use for your training |
| // job's master worker. You must specify this field when `scaleTier` is set to |
| // `CUSTOM`. |
| // |
| // You can use certain Compute Engine machine types directly in this field. |
| // The following types are supported: |
| // |
| // - `n1-standard-4` |
| // - `n1-standard-8` |
| // - `n1-standard-16` |
| // - `n1-standard-32` |
| // - `n1-standard-64` |
| // - `n1-standard-96` |
| // - `n1-highmem-2` |
| // - `n1-highmem-4` |
| // - `n1-highmem-8` |
| // - `n1-highmem-16` |
| // - `n1-highmem-32` |
| // - `n1-highmem-64` |
| // - `n1-highmem-96` |
| // - `n1-highcpu-16` |
| // - `n1-highcpu-32` |
| // - `n1-highcpu-64` |
| // - `n1-highcpu-96` |
| // |
| // Alternatively, you can use the following legacy machine types: |
| // |
| // - `standard` |
| // - `large_model` |
| // - `complex_model_s` |
| // - `complex_model_m` |
| // - `complex_model_l` |
| // - `standard_gpu` |
| // - `complex_model_m_gpu` |
| // - `complex_model_l_gpu` |
| // - `standard_p100` |
| // - `complex_model_m_p100` |
| // - `standard_v100` |
| // - `large_model_v100` |
| // - `complex_model_m_v100` |
| // - `complex_model_l_v100` |
| // |
| // Finally, if you want to use a TPU for training, specify `cloud_tpu` in this |
| // field. Learn more about the [special configuration options for training |
| // with |
| // TPU](https://cloud.google.com/ai-platform/training/docs/using-tpus#configuring_a_custom_tpu_machine). |
| MasterType string `protobuf:"bytes,2,opt,name=master_type,json=masterType,proto3" json:"master_type,omitempty"` |
| // Configuration (count and accelerator type) for hardware running notebook |
| // execution. |
| AcceleratorConfig *ExecutionTemplate_SchedulerAcceleratorConfig `protobuf:"bytes,3,opt,name=accelerator_config,json=acceleratorConfig,proto3" json:"accelerator_config,omitempty"` |
| // Labels for execution. |
| // If execution is scheduled, a field included will be 'nbs-scheduled'. |
| // Otherwise, it is an immediate execution, and an included field will be |
| // 'nbs-immediate'. Use fields to efficiently index between various types of |
| // executions. |
| Labels map[string]string `protobuf:"bytes,4,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| // Path to the notebook file to execute. |
| // Must be in a Google Cloud Storage bucket. |
| // Format: `gs://{bucket_name}/{folder}/{notebook_file_name}` |
| // Ex: `gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb` |
| InputNotebookFile string `protobuf:"bytes,5,opt,name=input_notebook_file,json=inputNotebookFile,proto3" json:"input_notebook_file,omitempty"` |
| // Container Image URI to a DLVM |
| // Example: 'gcr.io/deeplearning-platform-release/base-cu100' |
| // More examples can be found at: |
| // https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container |
| ContainerImageUri string `protobuf:"bytes,6,opt,name=container_image_uri,json=containerImageUri,proto3" json:"container_image_uri,omitempty"` |
| // Path to the notebook folder to write to. |
| // Must be in a Google Cloud Storage bucket path. |
| // Format: `gs://{bucket_name}/{folder}` |
| // Ex: `gs://notebook_user/scheduled_notebooks` |
| OutputNotebookFolder string `protobuf:"bytes,7,opt,name=output_notebook_folder,json=outputNotebookFolder,proto3" json:"output_notebook_folder,omitempty"` |
| // Parameters to be overridden in the notebook during execution. |
| // Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on |
| // how to specifying parameters in the input notebook and pass them here |
| // in an YAML file. |
| // Ex: `gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml` |
| ParamsYamlFile string `protobuf:"bytes,8,opt,name=params_yaml_file,json=paramsYamlFile,proto3" json:"params_yaml_file,omitempty"` |
| // Parameters used within the 'input_notebook_file' notebook. |
| Parameters string `protobuf:"bytes,9,opt,name=parameters,proto3" json:"parameters,omitempty"` |
| // The email address of a service account to use when running the execution. |
| // You must have the `iam.serviceAccounts.actAs` permission for the specified |
| // service account. |
| ServiceAccount string `protobuf:"bytes,10,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"` |
| // The type of Job to be used on this execution. |
| JobType ExecutionTemplate_JobType `protobuf:"varint,11,opt,name=job_type,json=jobType,proto3,enum=google.cloud.notebooks.v1.ExecutionTemplate_JobType" json:"job_type,omitempty"` |
| // Parameters for an execution type. |
| // NOTE: There are currently no extra parameters for VertexAI jobs. |
| // |
| // Types that are assignable to JobParameters: |
| // |
| // *ExecutionTemplate_DataprocParameters_ |
| // *ExecutionTemplate_VertexAiParameters |
| JobParameters isExecutionTemplate_JobParameters `protobuf_oneof:"job_parameters"` |
| // Name of the kernel spec to use. This must be specified if the |
| // kernel spec name on the execution target does not match the name in the |
| // input notebook file. |
| KernelSpec string `protobuf:"bytes,14,opt,name=kernel_spec,json=kernelSpec,proto3" json:"kernel_spec,omitempty"` |
| // The name of a Vertex AI [Tensorboard] resource to which this execution |
| // will upload Tensorboard logs. |
| // Format: |
| // `projects/{project}/locations/{location}/tensorboards/{tensorboard}` |
| Tensorboard string `protobuf:"bytes,15,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"` |
| } |
| |
| func (x *ExecutionTemplate) Reset() { |
| *x = ExecutionTemplate{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExecutionTemplate) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExecutionTemplate) ProtoMessage() {} |
| |
| func (x *ExecutionTemplate) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate.ProtoReflect.Descriptor instead. |
| func (*ExecutionTemplate) Descriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0} |
| } |
| |
| // Deprecated: Do not use. |
| func (x *ExecutionTemplate) GetScaleTier() ExecutionTemplate_ScaleTier { |
| if x != nil { |
| return x.ScaleTier |
| } |
| return ExecutionTemplate_SCALE_TIER_UNSPECIFIED |
| } |
| |
| func (x *ExecutionTemplate) GetMasterType() string { |
| if x != nil { |
| return x.MasterType |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetAcceleratorConfig() *ExecutionTemplate_SchedulerAcceleratorConfig { |
| if x != nil { |
| return x.AcceleratorConfig |
| } |
| return nil |
| } |
| |
| func (x *ExecutionTemplate) GetLabels() map[string]string { |
| if x != nil { |
| return x.Labels |
| } |
| return nil |
| } |
| |
| func (x *ExecutionTemplate) GetInputNotebookFile() string { |
| if x != nil { |
| return x.InputNotebookFile |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetContainerImageUri() string { |
| if x != nil { |
| return x.ContainerImageUri |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetOutputNotebookFolder() string { |
| if x != nil { |
| return x.OutputNotebookFolder |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetParamsYamlFile() string { |
| if x != nil { |
| return x.ParamsYamlFile |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetParameters() string { |
| if x != nil { |
| return x.Parameters |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetServiceAccount() string { |
| if x != nil { |
| return x.ServiceAccount |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetJobType() ExecutionTemplate_JobType { |
| if x != nil { |
| return x.JobType |
| } |
| return ExecutionTemplate_JOB_TYPE_UNSPECIFIED |
| } |
| |
| func (m *ExecutionTemplate) GetJobParameters() isExecutionTemplate_JobParameters { |
| if m != nil { |
| return m.JobParameters |
| } |
| return nil |
| } |
| |
| func (x *ExecutionTemplate) GetDataprocParameters() *ExecutionTemplate_DataprocParameters { |
| if x, ok := x.GetJobParameters().(*ExecutionTemplate_DataprocParameters_); ok { |
| return x.DataprocParameters |
| } |
| return nil |
| } |
| |
| func (x *ExecutionTemplate) GetVertexAiParameters() *ExecutionTemplate_VertexAIParameters { |
| if x, ok := x.GetJobParameters().(*ExecutionTemplate_VertexAiParameters); ok { |
| return x.VertexAiParameters |
| } |
| return nil |
| } |
| |
| func (x *ExecutionTemplate) GetKernelSpec() string { |
| if x != nil { |
| return x.KernelSpec |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate) GetTensorboard() string { |
| if x != nil { |
| return x.Tensorboard |
| } |
| return "" |
| } |
| |
| type isExecutionTemplate_JobParameters interface { |
| isExecutionTemplate_JobParameters() |
| } |
| |
| type ExecutionTemplate_DataprocParameters_ struct { |
| // Parameters used in Dataproc JobType executions. |
| DataprocParameters *ExecutionTemplate_DataprocParameters `protobuf:"bytes,12,opt,name=dataproc_parameters,json=dataprocParameters,proto3,oneof"` |
| } |
| |
| type ExecutionTemplate_VertexAiParameters struct { |
| // Parameters used in Vertex AI JobType executions. |
| VertexAiParameters *ExecutionTemplate_VertexAIParameters `protobuf:"bytes,13,opt,name=vertex_ai_parameters,json=vertexAiParameters,proto3,oneof"` |
| } |
| |
| func (*ExecutionTemplate_DataprocParameters_) isExecutionTemplate_JobParameters() {} |
| |
| func (*ExecutionTemplate_VertexAiParameters) isExecutionTemplate_JobParameters() {} |
| |
| // The definition of a single executed notebook. |
| type Execution struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // execute metadata including name, hardware spec, region, labels, etc. |
| ExecutionTemplate *ExecutionTemplate `protobuf:"bytes,1,opt,name=execution_template,json=executionTemplate,proto3" json:"execution_template,omitempty"` |
| // Output only. The resource name of the execute. Format: |
| // `projects/{project_id}/locations/{location}/executions/{execution_id}` |
| Name string `protobuf:"bytes,2,opt,name=name,proto3" json:"name,omitempty"` |
| // Output only. Name used for UI purposes. |
| // Name can only contain alphanumeric characters and underscores '_'. |
| DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"` |
| // A brief description of this execution. |
| Description string `protobuf:"bytes,4,opt,name=description,proto3" json:"description,omitempty"` |
| // Output only. Time the Execution was instantiated. |
| CreateTime *timestamp.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Output only. Time the Execution was last updated. |
| UpdateTime *timestamp.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"` |
| // Output only. State of the underlying AI Platform job. |
| State Execution_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.notebooks.v1.Execution_State" json:"state,omitempty"` |
| // Output notebook file generated by this execution |
| OutputNotebookFile string `protobuf:"bytes,8,opt,name=output_notebook_file,json=outputNotebookFile,proto3" json:"output_notebook_file,omitempty"` |
| // Output only. The URI of the external job used to execute the notebook. |
| JobUri string `protobuf:"bytes,9,opt,name=job_uri,json=jobUri,proto3" json:"job_uri,omitempty"` |
| } |
| |
| func (x *Execution) Reset() { |
| *x = Execution{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *Execution) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*Execution) ProtoMessage() {} |
| |
| func (x *Execution) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use Execution.ProtoReflect.Descriptor instead. |
| func (*Execution) Descriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *Execution) GetExecutionTemplate() *ExecutionTemplate { |
| if x != nil { |
| return x.ExecutionTemplate |
| } |
| return nil |
| } |
| |
| func (x *Execution) GetName() string { |
| if x != nil { |
| return x.Name |
| } |
| return "" |
| } |
| |
| func (x *Execution) GetDisplayName() string { |
| if x != nil { |
| return x.DisplayName |
| } |
| return "" |
| } |
| |
| func (x *Execution) GetDescription() string { |
| if x != nil { |
| return x.Description |
| } |
| return "" |
| } |
| |
| func (x *Execution) GetCreateTime() *timestamp.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *Execution) GetUpdateTime() *timestamp.Timestamp { |
| if x != nil { |
| return x.UpdateTime |
| } |
| return nil |
| } |
| |
| func (x *Execution) GetState() Execution_State { |
| if x != nil { |
| return x.State |
| } |
| return Execution_STATE_UNSPECIFIED |
| } |
| |
| func (x *Execution) GetOutputNotebookFile() string { |
| if x != nil { |
| return x.OutputNotebookFile |
| } |
| return "" |
| } |
| |
| func (x *Execution) GetJobUri() string { |
| if x != nil { |
| return x.JobUri |
| } |
| return "" |
| } |
| |
| // Definition of a hardware accelerator. Note that not all combinations |
| // of `type` and `core_count` are valid. Check [GPUs on |
| // Compute Engine](https://cloud.google.com/compute/docs/gpus) to find a valid |
| // combination. TPUs are not supported. |
| type ExecutionTemplate_SchedulerAcceleratorConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Type of this accelerator. |
| Type ExecutionTemplate_SchedulerAcceleratorType `protobuf:"varint,1,opt,name=type,proto3,enum=google.cloud.notebooks.v1.ExecutionTemplate_SchedulerAcceleratorType" json:"type,omitempty"` |
| // Count of cores of this accelerator. |
| CoreCount int64 `protobuf:"varint,2,opt,name=core_count,json=coreCount,proto3" json:"core_count,omitempty"` |
| } |
| |
| func (x *ExecutionTemplate_SchedulerAcceleratorConfig) Reset() { |
| *x = ExecutionTemplate_SchedulerAcceleratorConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExecutionTemplate_SchedulerAcceleratorConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExecutionTemplate_SchedulerAcceleratorConfig) ProtoMessage() {} |
| |
| func (x *ExecutionTemplate_SchedulerAcceleratorConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_SchedulerAcceleratorConfig.ProtoReflect.Descriptor instead. |
| func (*ExecutionTemplate_SchedulerAcceleratorConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| func (x *ExecutionTemplate_SchedulerAcceleratorConfig) GetType() ExecutionTemplate_SchedulerAcceleratorType { |
| if x != nil { |
| return x.Type |
| } |
| return ExecutionTemplate_SCHEDULER_ACCELERATOR_TYPE_UNSPECIFIED |
| } |
| |
| func (x *ExecutionTemplate_SchedulerAcceleratorConfig) GetCoreCount() int64 { |
| if x != nil { |
| return x.CoreCount |
| } |
| return 0 |
| } |
| |
| // Parameters used in Dataproc JobType executions. |
| type ExecutionTemplate_DataprocParameters struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // URI for cluster used to run Dataproc execution. |
| // Format: `projects/{PROJECT_ID}/regions/{REGION}/clusters/{CLUSTER_NAME}` |
| Cluster string `protobuf:"bytes,1,opt,name=cluster,proto3" json:"cluster,omitempty"` |
| } |
| |
| func (x *ExecutionTemplate_DataprocParameters) Reset() { |
| *x = ExecutionTemplate_DataprocParameters{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExecutionTemplate_DataprocParameters) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExecutionTemplate_DataprocParameters) ProtoMessage() {} |
| |
| func (x *ExecutionTemplate_DataprocParameters) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[3] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_DataprocParameters.ProtoReflect.Descriptor instead. |
| func (*ExecutionTemplate_DataprocParameters) Descriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 1} |
| } |
| |
| func (x *ExecutionTemplate_DataprocParameters) GetCluster() string { |
| if x != nil { |
| return x.Cluster |
| } |
| return "" |
| } |
| |
| // Parameters used in Vertex AI JobType executions. |
| type ExecutionTemplate_VertexAIParameters struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The full name of the Compute Engine |
| // [network](/compute/docs/networks-and-firewalls#networks) to which the Job |
| // should be peered. For example, `projects/12345/global/networks/myVPC`. |
| // [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert) |
| // is of the form `projects/{project}/global/networks/{network}`. |
| // Where {project} is a project number, as in `12345`, and {network} is a |
| // network name. |
| // |
| // Private services access must already be configured for the network. If |
| // left unspecified, the job is not peered with any network. |
| Network string `protobuf:"bytes,1,opt,name=network,proto3" json:"network,omitempty"` |
| // Environment variables. |
| // |
| // At most 100 environment variables can be specified and unique. |
| // |
| // Example: GCP_BUCKET=gs://my-bucket/samples/ |
| Env map[string]string `protobuf:"bytes,2,rep,name=env,proto3" json:"env,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"` |
| } |
| |
| func (x *ExecutionTemplate_VertexAIParameters) Reset() { |
| *x = ExecutionTemplate_VertexAIParameters{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ExecutionTemplate_VertexAIParameters) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ExecutionTemplate_VertexAIParameters) ProtoMessage() {} |
| |
| func (x *ExecutionTemplate_VertexAIParameters) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_notebooks_v1_execution_proto_msgTypes[4] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ExecutionTemplate_VertexAIParameters.ProtoReflect.Descriptor instead. |
| func (*ExecutionTemplate_VertexAIParameters) Descriptor() ([]byte, []int) { |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP(), []int{0, 2} |
| } |
| |
| func (x *ExecutionTemplate_VertexAIParameters) GetNetwork() string { |
| if x != nil { |
| return x.Network |
| } |
| return "" |
| } |
| |
| func (x *ExecutionTemplate_VertexAIParameters) GetEnv() map[string]string { |
| if x != nil { |
| return x.Env |
| } |
| return nil |
| } |
| |
| var File_google_cloud_notebooks_v1_execution_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_notebooks_v1_execution_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_notebooks_v1_execution_proto_rawDescOnce sync.Once |
| file_google_cloud_notebooks_v1_execution_proto_rawDescData = file_google_cloud_notebooks_v1_execution_proto_rawDesc |
| ) |
| |
| func file_google_cloud_notebooks_v1_execution_proto_rawDescGZIP() []byte { |
| file_google_cloud_notebooks_v1_execution_proto_rawDescOnce.Do(func() { |
| file_google_cloud_notebooks_v1_execution_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_notebooks_v1_execution_proto_rawDescData) |
| }) |
| return file_google_cloud_notebooks_v1_execution_proto_rawDescData |
| } |
| |
| var file_google_cloud_notebooks_v1_execution_proto_enumTypes = make([]protoimpl.EnumInfo, 4) |
| var file_google_cloud_notebooks_v1_execution_proto_msgTypes = make([]protoimpl.MessageInfo, 7) |
| var file_google_cloud_notebooks_v1_execution_proto_goTypes = []interface{}{ |
| (ExecutionTemplate_ScaleTier)(0), // 0: google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier |
| (ExecutionTemplate_SchedulerAcceleratorType)(0), // 1: google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorType |
| (ExecutionTemplate_JobType)(0), // 2: google.cloud.notebooks.v1.ExecutionTemplate.JobType |
| (Execution_State)(0), // 3: google.cloud.notebooks.v1.Execution.State |
| (*ExecutionTemplate)(nil), // 4: google.cloud.notebooks.v1.ExecutionTemplate |
| (*Execution)(nil), // 5: google.cloud.notebooks.v1.Execution |
| (*ExecutionTemplate_SchedulerAcceleratorConfig)(nil), // 6: google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig |
| (*ExecutionTemplate_DataprocParameters)(nil), // 7: google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters |
| (*ExecutionTemplate_VertexAIParameters)(nil), // 8: google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters |
| nil, // 9: google.cloud.notebooks.v1.ExecutionTemplate.LabelsEntry |
| nil, // 10: google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters.EnvEntry |
| (*timestamp.Timestamp)(nil), // 11: google.protobuf.Timestamp |
| } |
| var file_google_cloud_notebooks_v1_execution_proto_depIdxs = []int32{ |
| 0, // 0: google.cloud.notebooks.v1.ExecutionTemplate.scale_tier:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.ScaleTier |
| 6, // 1: google.cloud.notebooks.v1.ExecutionTemplate.accelerator_config:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig |
| 9, // 2: google.cloud.notebooks.v1.ExecutionTemplate.labels:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.LabelsEntry |
| 2, // 3: google.cloud.notebooks.v1.ExecutionTemplate.job_type:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.JobType |
| 7, // 4: google.cloud.notebooks.v1.ExecutionTemplate.dataproc_parameters:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.DataprocParameters |
| 8, // 5: google.cloud.notebooks.v1.ExecutionTemplate.vertex_ai_parameters:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters |
| 4, // 6: google.cloud.notebooks.v1.Execution.execution_template:type_name -> google.cloud.notebooks.v1.ExecutionTemplate |
| 11, // 7: google.cloud.notebooks.v1.Execution.create_time:type_name -> google.protobuf.Timestamp |
| 11, // 8: google.cloud.notebooks.v1.Execution.update_time:type_name -> google.protobuf.Timestamp |
| 3, // 9: google.cloud.notebooks.v1.Execution.state:type_name -> google.cloud.notebooks.v1.Execution.State |
| 1, // 10: google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorConfig.type:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.SchedulerAcceleratorType |
| 10, // 11: google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters.env:type_name -> google.cloud.notebooks.v1.ExecutionTemplate.VertexAIParameters.EnvEntry |
| 12, // [12:12] is the sub-list for method output_type |
| 12, // [12:12] is the sub-list for method input_type |
| 12, // [12:12] is the sub-list for extension type_name |
| 12, // [12:12] is the sub-list for extension extendee |
| 0, // [0:12] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_notebooks_v1_execution_proto_init() } |
| func file_google_cloud_notebooks_v1_execution_proto_init() { |
| if File_google_cloud_notebooks_v1_execution_proto != nil { |
| return |
| } |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExecutionTemplate); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*Execution); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExecutionTemplate_SchedulerAcceleratorConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExecutionTemplate_DataprocParameters); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ExecutionTemplate_VertexAIParameters); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_notebooks_v1_execution_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*ExecutionTemplate_DataprocParameters_)(nil), |
| (*ExecutionTemplate_VertexAiParameters)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_notebooks_v1_execution_proto_rawDesc, |
| NumEnums: 4, |
| NumMessages: 7, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_notebooks_v1_execution_proto_goTypes, |
| DependencyIndexes: file_google_cloud_notebooks_v1_execution_proto_depIdxs, |
| EnumInfos: file_google_cloud_notebooks_v1_execution_proto_enumTypes, |
| MessageInfos: file_google_cloud_notebooks_v1_execution_proto_msgTypes, |
| }.Build() |
| File_google_cloud_notebooks_v1_execution_proto = out.File |
| file_google_cloud_notebooks_v1_execution_proto_rawDesc = nil |
| file_google_cloud_notebooks_v1_execution_proto_goTypes = nil |
| file_google_cloud_notebooks_v1_execution_proto_depIdxs = nil |
| } |
