public final class DeployedModel extends com.google.protobuf.GeneratedMessageV3 implements DeployedModelOrBuilder
A deployment of a Model. Endpoints contain one or more DeployedModels.Protobuf type
google.cloud.aiplatform.v1.DeployedModel| Modifier and Type | Class and Description |
|---|---|
static class |
DeployedModel.Builder
A deployment of a Model.
|
static class |
DeployedModel.PredictionResourcesCase |
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
AUTOMATIC_RESOURCES_FIELD_NUMBER |
static int |
CREATE_TIME_FIELD_NUMBER |
static int |
DEDICATED_RESOURCES_FIELD_NUMBER |
static int |
DISABLE_CONTAINER_LOGGING_FIELD_NUMBER |
static int |
DISPLAY_NAME_FIELD_NUMBER |
static int |
ENABLE_ACCESS_LOGGING_FIELD_NUMBER |
static int |
EXPLANATION_SPEC_FIELD_NUMBER |
static int |
ID_FIELD_NUMBER |
static int |
MODEL_FIELD_NUMBER |
static int |
MODEL_VERSION_ID_FIELD_NUMBER |
static int |
PRIVATE_ENDPOINTS_FIELD_NUMBER |
static int |
SERVICE_ACCOUNT_FIELD_NUMBER |
static int |
SHARED_RESOURCES_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
AutomaticResources |
getAutomaticResources()
A description of resources that to large degree are decided by Vertex
AI, and require only a modest additional configuration.
|
AutomaticResourcesOrBuilder |
getAutomaticResourcesOrBuilder()
A description of resources that to large degree are decided by Vertex
AI, and require only a modest additional configuration.
|
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
DedicatedResources |
getDedicatedResources()
A description of resources that are dedicated to the DeployedModel, and
that need a higher degree of manual configuration.
|
DedicatedResourcesOrBuilder |
getDedicatedResourcesOrBuilder()
A description of resources that are dedicated to the DeployedModel, and
that need a higher degree of manual configuration.
|
static DeployedModel |
getDefaultInstance() |
DeployedModel |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
boolean |
getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the
DeployedModel instances will send `stderr` and `stdout` streams to
Cloud Logging by default.
|
String |
getDisplayName()
The display name of the DeployedModel.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
The display name of the DeployedModel.
|
boolean |
getEnableAccessLogging()
If true, online prediction access logs are sent to Cloud
Logging.
|
ExplanationSpec |
getExplanationSpec()
Explanation configuration for this DeployedModel.
|
ExplanationSpecOrBuilder |
getExplanationSpecOrBuilder()
Explanation configuration for this DeployedModel.
|
String |
getId()
Immutable.
|
com.google.protobuf.ByteString |
getIdBytes()
Immutable.
|
String |
getModel()
Required.
|
com.google.protobuf.ByteString |
getModelBytes()
Required.
|
String |
getModelVersionId()
Output only.
|
com.google.protobuf.ByteString |
getModelVersionIdBytes()
Output only.
|
com.google.protobuf.Parser<DeployedModel> |
getParserForType() |
DeployedModel.PredictionResourcesCase |
getPredictionResourcesCase() |
PrivateEndpoints |
getPrivateEndpoints()
Output only.
|
PrivateEndpointsOrBuilder |
getPrivateEndpointsOrBuilder()
Output only.
|
int |
getSerializedSize() |
String |
getServiceAccount()
The service account that the DeployedModel's container runs as.
|
com.google.protobuf.ByteString |
getServiceAccountBytes()
The service account that the DeployedModel's container runs as.
|
String |
getSharedResources()
The resource name of the shared DeploymentResourcePool to deploy on.
|
com.google.protobuf.ByteString |
getSharedResourcesBytes()
The resource name of the shared DeploymentResourcePool to deploy on.
|
boolean |
hasAutomaticResources()
A description of resources that to large degree are decided by Vertex
AI, and require only a modest additional configuration.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasDedicatedResources()
A description of resources that are dedicated to the DeployedModel, and
that need a higher degree of manual configuration.
|
boolean |
hasExplanationSpec()
Explanation configuration for this DeployedModel.
|
int |
hashCode() |
boolean |
hasPrivateEndpoints()
Output only.
|
boolean |
hasSharedResources()
The resource name of the shared DeploymentResourcePool to deploy on.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static DeployedModel.Builder |
newBuilder() |
static DeployedModel.Builder |
newBuilder(DeployedModel prototype) |
DeployedModel.Builder |
newBuilderForType() |
protected DeployedModel.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static DeployedModel |
parseDelimitedFrom(InputStream input) |
static DeployedModel |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static DeployedModel |
parseFrom(byte[] data) |
static DeployedModel |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static DeployedModel |
parseFrom(ByteBuffer data) |
static DeployedModel |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static DeployedModel |
parseFrom(com.google.protobuf.ByteString data) |
static DeployedModel |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static DeployedModel |
parseFrom(com.google.protobuf.CodedInputStream input) |
static DeployedModel |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static DeployedModel |
parseFrom(InputStream input) |
static DeployedModel |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<DeployedModel> |
parser() |
DeployedModel.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int DEDICATED_RESOURCES_FIELD_NUMBER
public static final int AUTOMATIC_RESOURCES_FIELD_NUMBER
public static final int SHARED_RESOURCES_FIELD_NUMBER
public static final int ID_FIELD_NUMBER
public static final int MODEL_FIELD_NUMBER
public static final int MODEL_VERSION_ID_FIELD_NUMBER
public static final int DISPLAY_NAME_FIELD_NUMBER
public static final int CREATE_TIME_FIELD_NUMBER
public static final int EXPLANATION_SPEC_FIELD_NUMBER
public static final int SERVICE_ACCOUNT_FIELD_NUMBER
public static final int DISABLE_CONTAINER_LOGGING_FIELD_NUMBER
public static final int ENABLE_ACCESS_LOGGING_FIELD_NUMBER
public static final int PRIVATE_ENDPOINTS_FIELD_NUMBER
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public DeployedModel.PredictionResourcesCase getPredictionResourcesCase()
getPredictionResourcesCase in interface DeployedModelOrBuilderpublic boolean hasDedicatedResources()
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;hasDedicatedResources in interface DeployedModelOrBuilderpublic DedicatedResources getDedicatedResources()
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;getDedicatedResources in interface DeployedModelOrBuilderpublic DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;getDedicatedResourcesOrBuilder in interface DeployedModelOrBuilderpublic boolean hasAutomaticResources()
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;hasAutomaticResources in interface DeployedModelOrBuilderpublic AutomaticResources getAutomaticResources()
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;getAutomaticResources in interface DeployedModelOrBuilderpublic AutomaticResourcesOrBuilder getAutomaticResourcesOrBuilder()
A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;getAutomaticResourcesOrBuilder in interface DeployedModelOrBuilderpublic boolean hasSharedResources()
The resource name of the shared DeploymentResourcePool to deploy on.
Format:
`projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
string shared_resources = 17 [(.google.api.resource_reference) = { ... }hasSharedResources in interface DeployedModelOrBuilderpublic String getSharedResources()
The resource name of the shared DeploymentResourcePool to deploy on.
Format:
`projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
string shared_resources = 17 [(.google.api.resource_reference) = { ... }getSharedResources in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getSharedResourcesBytes()
The resource name of the shared DeploymentResourcePool to deploy on.
Format:
`projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
string shared_resources = 17 [(.google.api.resource_reference) = { ... }getSharedResourcesBytes in interface DeployedModelOrBuilderpublic String getId()
Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are `/[0-9]/`.
string id = 1 [(.google.api.field_behavior) = IMMUTABLE];getId in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getIdBytes()
Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are `/[0-9]/`.
string id = 1 [(.google.api.field_behavior) = IMMUTABLE];getIdBytes in interface DeployedModelOrBuilderpublic String getModel()
Required. The resource name of the Model that this is the deployment of.
Note that the Model may be in a different location than the DeployedModel's
Endpoint.
The resource name may contain version id or version alias to specify the
version.
Example: `projects/{project}/locations/{location}/models/{model}@2`
or
`projects/{project}/locations/{location}/models/{model}@golden`
if no version is specified, the default version will be deployed.
string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
getModel in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getModelBytes()
Required. The resource name of the Model that this is the deployment of.
Note that the Model may be in a different location than the DeployedModel's
Endpoint.
The resource name may contain version id or version alias to specify the
version.
Example: `projects/{project}/locations/{location}/models/{model}@2`
or
`projects/{project}/locations/{location}/models/{model}@golden`
if no version is specified, the default version will be deployed.
string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
getModelBytes in interface DeployedModelOrBuilderpublic String getModelVersionId()
Output only. The version ID of the model that is deployed.
string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];getModelVersionId in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getModelVersionIdBytes()
Output only. The version ID of the model that is deployed.
string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];getModelVersionIdBytes in interface DeployedModelOrBuilderpublic String getDisplayName()
The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.
string display_name = 3;getDisplayName in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.
string display_name = 3;getDisplayNameBytes in interface DeployedModelOrBuilderpublic boolean hasCreateTime()
Output only. Timestamp when the DeployedModel was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface DeployedModelOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when the DeployedModel was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface DeployedModelOrBuilderpublic com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when the DeployedModel was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTimeOrBuilder in interface DeployedModelOrBuilderpublic boolean hasExplanationSpec()
Explanation configuration for this DeployedModel. When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;hasExplanationSpec in interface DeployedModelOrBuilderpublic ExplanationSpec getExplanationSpec()
Explanation configuration for this DeployedModel. When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;getExplanationSpec in interface DeployedModelOrBuilderpublic ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
Explanation configuration for this DeployedModel. When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel], this value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]. All fields of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] are optional in the request. If a field of [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] is not populated, the value of the same field of [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is inherited. If the corresponding [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec] is not populated, all fields of the [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] will be used for the explanation configuration.
.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;getExplanationSpecOrBuilder in interface DeployedModelOrBuilderpublic String getServiceAccount()
The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 11;getServiceAccount in interface DeployedModelOrBuilderpublic com.google.protobuf.ByteString getServiceAccountBytes()
The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
string service_account = 11;getServiceAccountBytes in interface DeployedModelOrBuilderpublic boolean getDisableContainerLogging()
For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to [Cloud Logging pricing](https://cloud.google.com/logging/pricing). User can disable container logging by setting this flag to true.
bool disable_container_logging = 15;getDisableContainerLogging in interface DeployedModelOrBuilderpublic boolean getEnableAccessLogging()
If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.
bool enable_access_logging = 13;getEnableAccessLogging in interface DeployedModelOrBuilderpublic boolean hasPrivateEndpoints()
Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasPrivateEndpoints in interface DeployedModelOrBuilderpublic PrivateEndpoints getPrivateEndpoints()
Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPrivateEndpoints in interface DeployedModelOrBuilderpublic PrivateEndpointsOrBuilder getPrivateEndpointsOrBuilder()
Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if [network][google.cloud.aiplatform.v1.Endpoint.network] is configured.
.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
getPrivateEndpointsOrBuilder in interface DeployedModelOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static DeployedModel parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static DeployedModel parseFrom(InputStream input) throws IOException
IOExceptionpublic static DeployedModel parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static DeployedModel parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static DeployedModel parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static DeployedModel parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static DeployedModel parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic DeployedModel.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static DeployedModel.Builder newBuilder()
public static DeployedModel.Builder newBuilder(DeployedModel prototype)
public DeployedModel.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected DeployedModel.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static DeployedModel getDefaultInstance()
public static com.google.protobuf.Parser<DeployedModel> parser()
public com.google.protobuf.Parser<DeployedModel> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public DeployedModel getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2024 Google LLC. All rights reserved.