com.clarifai.grpc.api.DeploymentOrBuilder Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: proto/clarifai/api/resources.proto
package com.clarifai.grpc.api;
public interface DeploymentOrBuilder extends
// @@protoc_insertion_point(interface_extends:clarifai.api.Deployment)
com.google.protobuf.MessageOrBuilder {
/**
*
* An id for this configured deployment.
*
*
* string id = 1;
* @return The id.
*/
java.lang.String getId();
/**
*
* An id for this configured deployment.
*
*
* string id = 1;
* @return The bytes for id.
*/
com.google.protobuf.ByteString
getIdBytes();
/**
*
* The user who owns the deployment. These live in the user/org account.
*
*
* string user_id = 2;
* @return The userId.
*/
java.lang.String getUserId();
/**
*
* The user who owns the deployment. These live in the user/org account.
*
*
* string user_id = 2;
* @return The bytes for userId.
*/
com.google.protobuf.ByteString
getUserIdBytes();
/**
*
* How to autoscale the object.
*
*
* .clarifai.api.AutoscaleConfig autoscale_config = 3;
* @return Whether the autoscaleConfig field is set.
*/
boolean hasAutoscaleConfig();
/**
*
* How to autoscale the object.
*
*
* .clarifai.api.AutoscaleConfig autoscale_config = 3;
* @return The autoscaleConfig.
*/
com.clarifai.grpc.api.AutoscaleConfig getAutoscaleConfig();
/**
*
* How to autoscale the object.
*
*
* .clarifai.api.AutoscaleConfig autoscale_config = 3;
*/
com.clarifai.grpc.api.AutoscaleConfigOrBuilder getAutoscaleConfigOrBuilder();
/**
*
* You can configure different autoscaling per nodepool(s).
* These nodepools have to be also owned by the same user_id/org as this deployment.
* If there is more than one nodepool we use the model's ComputeInfo to match
* with what the nodepool provides to decide which one can handle it combined with the
* NodepoolRank below. Note: even within a single nodepool if it is heterogeneous then
* we need a way to rank scheduling choices when we don't know how to decide (like a model
* supports
*
*
* repeated .clarifai.api.Nodepool nodepools = 4;
*/
java.util.List
getNodepoolsList();
/**
*
* You can configure different autoscaling per nodepool(s).
* These nodepools have to be also owned by the same user_id/org as this deployment.
* If there is more than one nodepool we use the model's ComputeInfo to match
* with what the nodepool provides to decide which one can handle it combined with the
* NodepoolRank below. Note: even within a single nodepool if it is heterogeneous then
* we need a way to rank scheduling choices when we don't know how to decide (like a model
* supports
*
*
* repeated .clarifai.api.Nodepool nodepools = 4;
*/
com.clarifai.grpc.api.Nodepool getNodepools(int index);
/**
*
* You can configure different autoscaling per nodepool(s).
* These nodepools have to be also owned by the same user_id/org as this deployment.
* If there is more than one nodepool we use the model's ComputeInfo to match
* with what the nodepool provides to decide which one can handle it combined with the
* NodepoolRank below. Note: even within a single nodepool if it is heterogeneous then
* we need a way to rank scheduling choices when we don't know how to decide (like a model
* supports
*
*
* repeated .clarifai.api.Nodepool nodepools = 4;
*/
int getNodepoolsCount();
/**
*
* You can configure different autoscaling per nodepool(s).
* These nodepools have to be also owned by the same user_id/org as this deployment.
* If there is more than one nodepool we use the model's ComputeInfo to match
* with what the nodepool provides to decide which one can handle it combined with the
* NodepoolRank below. Note: even within a single nodepool if it is heterogeneous then
* we need a way to rank scheduling choices when we don't know how to decide (like a model
* supports
*
*
* repeated .clarifai.api.Nodepool nodepools = 4;
*/
java.util.List
getNodepoolsOrBuilderList();
/**
*
* You can configure different autoscaling per nodepool(s).
* These nodepools have to be also owned by the same user_id/org as this deployment.
* If there is more than one nodepool we use the model's ComputeInfo to match
* with what the nodepool provides to decide which one can handle it combined with the
* NodepoolRank below. Note: even within a single nodepool if it is heterogeneous then
* we need a way to rank scheduling choices when we don't know how to decide (like a model
* supports
*
*
* repeated .clarifai.api.Nodepool nodepools = 4;
*/
com.clarifai.grpc.api.NodepoolOrBuilder getNodepoolsOrBuilder(
int index);
/**
*
* Model
*
*
* .clarifai.api.Model model = 5;
* @return Whether the model field is set.
*/
boolean hasModel();
/**
*
* Model
*
*
* .clarifai.api.Model model = 5;
* @return The model.
*/
com.clarifai.grpc.api.Model getModel();
/**
*
* Model
*
*
* .clarifai.api.Model model = 5;
*/
com.clarifai.grpc.api.ModelOrBuilder getModelOrBuilder();
/**
*
* Workflow
*
*
* .clarifai.api.Workflow workflow = 6;
* @return Whether the workflow field is set.
*/
boolean hasWorkflow();
/**
*
* Workflow
*
*
* .clarifai.api.Workflow workflow = 6;
* @return The workflow.
*/
com.clarifai.grpc.api.Workflow getWorkflow();
/**
*
* Workflow
*
*
* .clarifai.api.Workflow workflow = 6;
*/
com.clarifai.grpc.api.WorkflowOrBuilder getWorkflowOrBuilder();
/**
* .clarifai.api.Deployment.SchedulingChoice scheduling_choice = 7;
* @return The enum numeric value on the wire for schedulingChoice.
*/
int getSchedulingChoiceValue();
/**
* .clarifai.api.Deployment.SchedulingChoice scheduling_choice = 7;
* @return The schedulingChoice.
*/
com.clarifai.grpc.api.Deployment.SchedulingChoice getSchedulingChoice();
public com.clarifai.grpc.api.Deployment.ObjectCase getObjectCase();
}